diff --git a/10_Wiki/Comfyui/위키 Getting Started - ComfyUI 2026-05-20.md b/10_Wiki/Comfyui/위키 Getting Started - ComfyUI 2026-05-20.md
index 55855263..a1332f4d 100644
--- a/10_Wiki/Comfyui/위키 Getting Started - ComfyUI 2026-05-20.md	
+++ b/10_Wiki/Comfyui/위키 Getting Started - ComfyUI 2026-05-20.md	
@@ -77,7 +77,7 @@ github_commit: ""
 *   [[Python]] - 백엔드 로직 작성을 위한 핵심 언어입니다.
 *   [[JavaScript]] - 클라이언트 측 확장을 위해 사용되는 언어입니다.
 *   [[torch.Tensor]] - 이미지 데이터 처리를 위한 기본 데이터 구조입니다.
-*   [[comfy-cli]] - 노드 스캐폴딩 및 관리를 위한 도구입니다.
+*   [[Comfy CLI]] - 노드 스캐폴딩 및 관리를 위한 도구입니다.
 
 ## 📝 변경 이력 (Change history)
 - 2026-05-20: Astra /wikify 로 https://docs.comfy.org/custom-nodes/walkthrough 본문에서 초안 생성.
\ No newline at end of file
diff --git a/10_Wiki/Comfyui/위키 Lifecycle - ComfyUI 2026-05-20.md b/10_Wiki/Comfyui/위키 Lifecycle - ComfyUI 2026-05-20.md
index e999f55f..cb812026 100644
--- a/10_Wiki/Comfyui/위키 Lifecycle - ComfyUI 2026-05-20.md	
+++ b/10_Wiki/Comfyui/위키 Lifecycle - ComfyUI 2026-05-20.md	
@@ -25,7 +25,7 @@ github_commit: ""
 ComfyUI가 시작될 때 `custom_nodes` 디렉토리를 스캔하여 Python 모듈을 로드하고 커스텀 노드를 정의하는 라이프사이클 프로세스.
 
 ## 🧠 핵심 개념 (Core concepts)
-*   **[[custom_nodes]] 로딩**: ComfyUI 시작 시 `custom_nodes` 폴ের더를 스캔하여 Python 모듈을 찾아 로드함.
+*   **[[Custom Nodes]] 로딩**: ComfyUI 시작 시 `custom_nodes` 폴ের더를 스캔하여 Python 모듈을 찾아 로드함.
 *   **[[NODE_CLASS_MAPPINGS]]**: 모듈이 커스텀 노드로 인식되기 위해 반드시 내보내야(export) 하는 딕셔너리 매핑 정보.
 *   **[[__init__.py]] 역할**: 커스텀 노드 모듈의 진입점으로, 실행 시 `NODE_CLASS_MAPPINGS`를 포함하여 노드 정의를 ComfyUI에 가용하게 함.
 *   **[[WEB_DIRECTORY]] 설정**: 클라이언트 측 JavaScript 파일을 제공하기 위해 모듈 내 상대 경로를 지정하는 기능.
@@ -70,7 +70,7 @@ ComfyUI는 시작 시 `custom_nodes` 디렉토리를 스캔하여 Python 모듈
 - **중복 검사 결과:** 신규 생성 (New discovery)
 
 ## 🔗 관련 문서 링크 (Related document links)
-*   [[custom_nodes]] - 커스텀 노드가 로드되는 물리적 경로와 메커니즘 설명.
+*   [[Custom Nodes]] - 커스텀 노드가 로드되는 물리적 경로와 메커니즘 설명.
 *   [[NODE_CLASS_MAPPINGS]] - 노드 클래스를 식별하기 위한 핵심 매핑 구조.
 *   [[WEB_DIRECTORY]] - 클라이언트 사이드 JS 파일 배포를 위한 경로 설정법.
 *   [[__init__.py]] - Python 모듈의 초기화 및 커스텀 노드 로직 실행 지점.
diff --git a/10_Wiki/Topics/AI_and_ML/2014 Combat Controls Update.md b/10_Wiki/Topics/AI_and_ML/2014 Combat Controls Update.md
index 3766c242..bf3a4204 100644
--- a/10_Wiki/Topics/AI_and_ML/2014 Combat Controls Update.md	
+++ b/10_Wiki/Topics/AI_and_ML/2014 Combat Controls Update.md	
@@ -342,7 +342,7 @@ public class TutorialHint : MonoBehaviour {
 
 ## 🔗 지식 연결 (Graph)
 - 변형: [[StarCraft-Micro]]
-- 응용: [[Baiting-Tactics]]
+- 응용: [[Baiting Tactics]]
 - 게임: [[War-Commander]] · [[Kixeye]]
 - Adjacent: [[Behavior-Tree]]
 
@@ -374,7 +374,7 @@ public class TutorialHint : MonoBehaviour {
 - **검토 이유:** Manual cleanup. 매 specific game 의 historical. 매 design pattern 가 universal.
 
 ## 🧬 중복 검사 (Duplicate Check)
-- **기존 유사 문서:** [[AI-Exploitation]] (related), [[RTS-Combat-Design]] (parent), [[Game-AI-Design]] (parent).
+- **기존 유사 문서:** [[AI Exploitation (Game AI 공략)]] (related), [[RTS-Combat-Design]] (parent), [[Game-AI-Design]] (parent).
 - **처리 방식:** KEEP (specific historical case + transferable lesson).
 - **처리 이유:** 매 specific patch 의 historical record.
 
diff --git a/10_Wiki/Topics/AI_and_ML/2026년 BCG 글로벌 게이밍 설문조사.md b/10_Wiki/Topics/AI_and_ML/2026년 BCG 글로벌 게이밍 설문조사.md
index 3a381e56..679450a7 100644
--- a/10_Wiki/Topics/AI_and_ML/2026년 BCG 글로벌 게이밍 설문조사.md	
+++ b/10_Wiki/Topics/AI_and_ML/2026년 BCG 글로벌 게이밍 설문조사.md	
@@ -205,7 +205,7 @@ github_commit: pending
 ## 🧪 검증 / 중복
 - Applied (BCG 의 published report 2026).
 - 신뢰도 B (large industry survey).
-- Related: [[Game-Industry-Trends]] · [[Mobile-AB-Testing]].
+- Related: [[Game-Industry-Trends]] · [[Mobile A/B Testing — Variant / Tracking / Cleanup]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/2026년 인공지능 시각 언어 생성 패러다임 전환 및 연속적 창작 워크플로우.md b/10_Wiki/Topics/AI_and_ML/2026년 인공지능 시각 언어 생성 패러다임 전환 및 연속적 창작 워크플로우.md
index 4011a629..16befa05 100644
--- a/10_Wiki/Topics/AI_and_ML/2026년 인공지능 시각 언어 생성 패러다임 전환 및 연속적 창작 워크플로우.md	
+++ b/10_Wiki/Topics/AI_and_ML/2026년 인공지능 시각 언어 생성 패러다임 전환 및 연속적 창작 워크플로우.md	
@@ -247,8 +247,8 @@ def cost_aware_batch(prompts, target='exploration'):
 **기본값**: 5-layer prompt + draft mode + reference + post-edit + upscale 의 sequence.
 
 ## 🔗 Graph
-- 부모: [[AI 이미지 생성 (AI Image Generation)]]
-- 변형: [[Draft-Mode]] · [[Omni-Reference]]
+- 부모: [[AI Image Generation]]
+- 변형: [[Draft-Mode]] · [[Omni Reference]]
 - Tools: [[Midjourney-V7]] · [[Flux]]
 
 ## 🤖 LLM 활용
@@ -265,7 +265,7 @@ def cost_aware_batch(prompts, target='exploration'):
 ## 🧪 검증 / 중복
 - Verified.
 - 신뢰도 B.
-- Overlap with [[AI 이미지 생성 (AI Image Generation)]] / [[AI 모델 사후 편집 도구 (Post-editing Tools)|Post-editing-Tools]] / [[Image-Workflow]].
+- Overlap with [[AI Image Generation]] / [[AI 모델 사후 편집 도구 (Post-editing Tools)|Post-editing-Tools]] / [[Image-Workflow]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/20k skinned instances demo.md b/10_Wiki/Topics/AI_and_ML/20k skinned instances demo.md
index ba443069..d0608f15 100644
--- a/10_Wiki/Topics/AI_and_ML/20k skinned instances demo.md	
+++ b/10_Wiki/Topics/AI_and_ML/20k skinned instances demo.md	
@@ -253,10 +253,10 @@ console.log({
 **기본값**: InstancedMesh2 + 5 optimization (frustum, LOD, animation throttle, GPU skin, atlas).
 
 ## 🔗 Graph
-- 부모: [[Three-js-Performance]] · [[Skinned-Mesh]] · [[Instancing]]
+- 부모: [[Three-js-Performance]] · [[SkinnedMesh]] · [[Instancing]]
 - 변형: [[BatchedMesh]]
 - 응용: [[Crowd-Simulation]]
-- 기술: [[GPU-Skinning]] · [[Frustum-Culling]] · [[Level-of-Detail]]
+- 기술: [[GPU-Skinning]] · [[Frustum Culling]] · [[Level-of-Detail]]
 
 ## 🤖 LLM 활용
 **언제**: 매 large character scene 의 design. 매 mobile / web 3D 의 performance.
diff --git a/10_Wiki/Topics/AI_and_ML/3D Gaussian Splatting (3DGS).md b/10_Wiki/Topics/AI_and_ML/3D Gaussian Splatting (3DGS).md
index 8eac082b..c10d4425 100644
--- a/10_Wiki/Topics/AI_and_ML/3D Gaussian Splatting (3DGS).md	
+++ b/10_Wiki/Topics/AI_and_ML/3D Gaussian Splatting (3DGS).md	
@@ -226,7 +226,7 @@ viewer.addSplatScene('./scene.ply').then(() => {
 ## 🔗 지식 연결 (Graph)
 - Adjacent: [[Point-Cloud]]
 - Tools: gsplat · NeRF Studio · Brush · Splatfacto · Polycam · Luma AI
-- Web: [[WebGPU]] · [[WebGL]] · [[Three.js]] · [[Babylon.js]]
+- Web: [[WebGPU]] · [[WebGL]] · [[Three.js]] · [[Babylonjs]]
 
 ## 🤖 LLM 활용 힌트 (How to Use This Knowledge)
 
diff --git a/10_Wiki/Topics/AI_and_ML/ABA.md b/10_Wiki/Topics/AI_and_ML/ABA.md
index 2f88f344..906bc243 100644
--- a/10_Wiki/Topics/AI_and_ML/ABA.md
+++ b/10_Wiki/Topics/AI_and_ML/ABA.md
@@ -258,8 +258,8 @@ def reward(state, action, next_state):
 - 응용: [[Habit-Formation]]
 - AI: [[Actor-Critic-Models]]
 - Game: [[Loot-Box-Mechanics]]
-- 비판: [[Intrinsic-Motivation]]
-- Adjacent: [[Addiction-Neuroscience]] · [[Dopamine-Pathway]] · [[Behavioral-Economics]] · [[Nudge-Theory]]
+- 비판: [[Intrinsic Motivation]]
+- Adjacent: [[Addiction Neuroscience]] · [[Dopamine-Pathway]] · [[Behavioral-Economics]] · [[Nudge Theory]]
 
 ## 🤖 LLM 활용 힌트 (How to Use This Knowledge)
 
diff --git a/10_Wiki/Topics/AI_and_ML/ACI.md b/10_Wiki/Topics/AI_and_ML/ACI.md
index 2bbd9e88..8ad3908c 100644
--- a/10_Wiki/Topics/AI_and_ML/ACI.md
+++ b/10_Wiki/Topics/AI_and_ML/ACI.md
@@ -378,7 +378,7 @@ function isAllowed(tool: string, args: any): boolean {
 ## 🔗 지식 연결 (Graph)
 - 부모: [[Agent-Architecture]] · [[Tool-Use-Function-Calling]] · [[Prompt_Engineering|Prompt-Engineering]]
 - 응용: [[Claude-Code]]
-- Related: [[AI-Tool-Composition-Deep]] · [[AI-Anthropic-Skills-Patterns]] · [[AI-Multi-Agent-Coordination]]
+- Related: [[Tool Composition — agent 가 tool 사용 / chain]] · [[Anthropic Skills — modular agent capability]] · [[Multi-Agent Coordination — orchestrator / handoff]]
 
 ## 🤖 LLM 활용 힌트 (How to Use This Knowledge)
 
@@ -412,7 +412,7 @@ function isAllowed(tool: string, args: any): boolean {
 - **검토 이유:** Manual cleanup. ACI design 가 evolving. MCP 의 standardization 가 진행 중.
 
 ## 🧬 중복 검사 (Duplicate Check)
-- **기존 유사 문서:** [[AI-Tool-Composition-Deep]] (overlap), [[MCP-Server-Building]] (subset), [[AI-Anthropic-Skills-Patterns]] (related).
+- **기존 유사 문서:** [[Tool Composition — agent 가 tool 사용 / chain]] (overlap), [[MCP-Server-Building]] (subset), [[Anthropic Skills — modular agent capability]] (related).
 - **처리 방식:** KEEP (focused on interface design).
 - **처리 이유:** ACI 가 design discipline. Tool composition 가 algorithm. MCP 가 specific protocol.
 
diff --git a/10_Wiki/Topics/AI_and_ML/ADR-0001-project-chronicle-independent-module.md b/10_Wiki/Topics/AI_and_ML/ADR-0001-project-chronicle-independent-module.md
index 88d9ebed..264d0559 100644
--- a/10_Wiki/Topics/AI_and_ML/ADR-0001-project-chronicle-independent-module.md
+++ b/10_Wiki/Topics/AI_and_ML/ADR-0001-project-chronicle-independent-module.md
@@ -144,7 +144,7 @@ export function activate(context: vscode.ExtensionContext) {
 **기본값**: 매 distinct domain = separate module.
 
 ## 🔗 지식 연결 (Graph)
-- 부모: [[ADR-Architecture-Decision-Record]] · [[Modular-Design]] · [[Separation-of-Concerns]]
+- 부모: [[ADR (Architecture Decision Record)]] · [[Modular-Design]] · [[Separation of Concerns]]
 
 ## 🤖 LLM 활용 힌트
 **언제 사용**: 매 새 feature 의 architecture 의 결정. 매 modular boundary 의 example.
diff --git a/10_Wiki/Topics/AI_and_ML/AI & Data Sovereignty.md b/10_Wiki/Topics/AI_and_ML/AI & Data Sovereignty.md
index 5861d5b9..9dfdd817 100644
--- a/10_Wiki/Topics/AI_and_ML/AI & Data Sovereignty.md	
+++ b/10_Wiki/Topics/AI_and_ML/AI & Data Sovereignty.md	
@@ -402,7 +402,7 @@ async function auditDataAccess(user: User, data: any, action: string) {
 - 변형: [[GDPR-Compliance]] · [[Data-Localization]] · [[Sovereign-Cloud]]
 - 기술: [[Federated-Learning]] · [[Differential-Privacy]] · [[Homomorphic-Encryption]]
 - 비판: [[Data-Colonialism]]
-- 응용: [[AI 거버넌스 정책(AI Usage Policy)|AI-Governance-Policy]] · [[AI-Accountability]]
+- 응용: [[AI 거버넌스 정책(AI Usage Policy)|AI-Governance-Policy]] · [[AI Accountability]]
 - 정책: [[EU-AI-Act]]
 
 ## 🤖 LLM 활용 힌트 (How to Use This Knowledge)
@@ -434,7 +434,7 @@ async function auditDataAccess(user: User, data: any, action: string) {
 - **검토 이유:** Manual cleanup. Active regulation. 매 6 month review.
 
 ## 🧬 중복 검사 (Duplicate Check)
-- **기존 유사 문서:** [[AI 거버넌스 정책(AI Usage Policy)|AI-Governance-Policy]] (related), [[Privacy]] (parent), [[AI-Accountability]] (related).
+- **기존 유사 문서:** [[AI 거버넌스 정책(AI Usage Policy)|AI-Governance-Policy]] (related), [[Privacy]] (parent), [[AI Accountability]] (related).
 - **처리 방식:** KEEP (sovereignty 의 specific lens).
 - **처리 이유:** Geopolitical + technical 의 intersection.
 
diff --git a/10_Wiki/Topics/AI_and_ML/AI Accountability.md b/10_Wiki/Topics/AI_and_ML/AI Accountability.md
index 736e3bbc..25a138d5 100644
--- a/10_Wiki/Topics/AI_and_ML/AI Accountability.md	
+++ b/10_Wiki/Topics/AI_and_ML/AI Accountability.md	
@@ -358,11 +358,11 @@ def predict(features):
 - **Cross-border**: 매 country 의 different regulation. AI 의 global → fragmented.
 
 ## 🔗 지식 연결 (Graph)
-- 부모: [[AI-Ethics]] · [[AI 거버넌스 정책(AI Usage Policy)|AI-Governance-Policy]] · [[Algorithmic-Fairness]]
+- 부모: [[AI-Ethics]] · [[AI 거버넌스 정책(AI Usage Policy)|AI-Governance-Policy]] · [[Algorithmic Fairness]]
 - 변형: [[Explainable-AI-XAI]] · [[Model-Card]]
 - 기술: [[LIME]]
 - Adjacent: [[Responsibility-Gap]] · [[Human-in-the-Loop]]
-- 응용: [[MLOps-Model-Monitoring]]
+- 응용: [[ML Monitoring — drift / quality / SLO]]
 
 ## 🤖 LLM 활용 힌트 (How to Use This Knowledge)
 
diff --git a/10_Wiki/Topics/AI_and_ML/AI Connect LLM Tool.md b/10_Wiki/Topics/AI_and_ML/AI Connect LLM Tool.md
index 08a13f8a..156d14cc 100644
--- a/10_Wiki/Topics/AI_and_ML/AI Connect LLM Tool.md	
+++ b/10_Wiki/Topics/AI_and_ML/AI Connect LLM Tool.md	
@@ -319,7 +319,7 @@ async function queryBrain(question: string): Promise<string[]> {
 - **검토 이유:** Manual cleanup. 매 architecture 의 implementation detail 가 ConnectAI repo 와 sync.
 
 ## 🧬 중복 검사 (Duplicate Check)
-- **기존 유사 문서:** [[Local-LLM-Inference]] (concept), [[VS-Code-Extension-Patterns]] (technical), [[AI-Code-Agent-Patterns]] (general).
+- **기존 유사 문서:** [[Local-LLM-Inference]] (concept), [[VS-Code-Extension-Patterns]] (technical), [[Code Agent — Devin / Cursor / Claude Code]] (general).
 - **처리 방식:** KEEP (specific tool 의 documentation).
 - **처리 이유:** ConnectAI 의 own design / architecture 가 distinct.
 
diff --git a/10_Wiki/Topics/AI_and_ML/AI Evaluation & Benchmarks.md b/10_Wiki/Topics/AI_and_ML/AI Evaluation & Benchmarks.md
index d74b2dd1..f99cc470 100644
--- a/10_Wiki/Topics/AI_and_ML/AI Evaluation & Benchmarks.md	
+++ b/10_Wiki/Topics/AI_and_ML/AI Evaluation & Benchmarks.md	
@@ -294,7 +294,7 @@ def chat(query):
 ## 🔗 지식 연결 (Graph)
 - 변형: [[LLM-as-Judge]]
 - Tools: lm-eval-harness · Promptfoo · LangSmith · Inspect (AISI) · Braintrust · Helicone · Langfuse
-- Related: [[AI-Code-Agent-Patterns]]
+- Related: [[Code Agent — Devin / Cursor / Claude Code]]
 
 ## 🤖 LLM 활용 힌트 (How to Use This Knowledge)
 
diff --git a/10_Wiki/Topics/AI_and_ML/AI Exploitation.md b/10_Wiki/Topics/AI_and_ML/AI Exploitation.md
index 5a1bc9bb..efa387e8 100644
--- a/10_Wiki/Topics/AI_and_ML/AI Exploitation.md	
+++ b/10_Wiki/Topics/AI_and_ML/AI Exploitation.md	
@@ -383,7 +383,7 @@ public class AnomalyDetector {
 ## 🔗 지식 연결 (Graph)
 - 부모: [[Game-Mechanics]]
 - 변형: [[Behavior-Tree]]
-- 응용: [[Baiting-Tactics]]
+- 응용: [[Baiting Tactics]]
 - 매 게임: [[War-Commander-Combat]]
 - Adjacent: [[Adaptive-Difficulty]]
 
diff --git a/10_Wiki/Topics/AI_and_ML/AI Humanism.md b/10_Wiki/Topics/AI_and_ML/AI Humanism.md
index e7f2bb0d..d94a5106 100644
--- a/10_Wiki/Topics/AI_and_ML/AI Humanism.md	
+++ b/10_Wiki/Topics/AI_and_ML/AI Humanism.md	
@@ -284,8 +284,8 @@ class AITutor {
 
 ## 🔗 지식 연결 (Graph)
 - 부모: [[AI-Ethics]]
-- 관련: [[AI-Literacy]] · [[AI-Accountability]] · [[AI 거버넌스 정책(AI Usage Policy)|AI-Governance-Policy]] · [[AI-Safety-and-Alignment]]
-- Adjacent: [[Universal-Basic-Income-UBI]]
+- 관련: [[AI Literacy]] · [[AI Accountability]] · [[AI 거버넌스 정책(AI Usage Policy)|AI-Governance-Policy]] · [[AI Safety and Alignment]]
+- Adjacent: [[Universal Basic Income (UBI)]]
 
 ## 🤖 LLM 활용 힌트 (How to Use This Knowledge)
 
@@ -317,7 +317,7 @@ class AITutor {
 - **검토 이유:** Manual cleanup. Philosophy 가 long-term 안정. 매 application 가 evolving.
 
 ## 🧬 중복 검사 (Duplicate Check)
-- **기존 유사 문서:** [[AI-Ethics]] (parent), [[AI-Literacy]] (subset), [[AI-for-Social-Good]] (related).
+- **기존 유사 문서:** [[AI-Ethics]] (parent), [[AI Literacy]] (subset), [[AI for Social Good (AI4SG)]] (related).
 - **처리 방식:** KEEP (philosophical / design framework).
 - **처리 이유:** AI Humanism 가 distinct philosophy + design discipline.
 
diff --git a/10_Wiki/Topics/AI_and_ML/AI Literacy.md b/10_Wiki/Topics/AI_and_ML/AI Literacy.md
index 5c1404c2..6ab72a71 100644
--- a/10_Wiki/Topics/AI_and_ML/AI Literacy.md	
+++ b/10_Wiki/Topics/AI_and_ML/AI Literacy.md	
@@ -248,7 +248,7 @@ Week 6: Agent basic.
 - 부모: [[Digital-Literacy]] · [[Information-Literacy]]
 - 변형: [[Prompt_Engineering|Prompt-Engineering]] · [[AI-Ethics]]
 - Adjacent: [[Lifelong-Learning]]
-- 응용: [[AI-Code-Agent-Patterns]]
+- 응용: [[Code Agent — Devin / Cursor / Claude Code]]
 
 ## 🤖 LLM 활용 힌트 (How to Use This Knowledge)
 
@@ -281,7 +281,7 @@ Week 6: Agent basic.
 - **검토 이유:** Manual cleanup. 매 framework 가 active. 매 6 month review.
 
 ## 🧬 중복 검사 (Duplicate Check)
-- **기존 유사 문서:** [[Prompt_Engineering|Prompt-Engineering]] (subset), [[AI-Ethics]] (related), [[Critical-Thinking]] (parent).
+- **기존 유사 문서:** [[Prompt_Engineering|Prompt-Engineering]] (subset), [[AI-Ethics]] (related), [[Critical Thinking]] (parent).
 - **처리 방식:** KEEP (overall framework).
 - **처리 이유:** Literacy 가 holistic. 매 component 의 own document.
 
diff --git a/10_Wiki/Topics/AI_and_ML/AI for Social Good.md b/10_Wiki/Topics/AI_and_ML/AI for Social Good.md
index 75014fdc..48c0cd36 100644
--- a/10_Wiki/Topics/AI_and_ML/AI for Social Good.md	
+++ b/10_Wiki/Topics/AI_and_ML/AI for Social Good.md	
@@ -355,7 +355,7 @@ class ImpactTracker:
 ## 🔗 지식 연결 (Graph)
 - 부모: [[AI-Ethics]]
 - 응용: [[Federated-Learning]]
-- 관련: [[AI-Humanism]] · [[AI-Accountability]] · [[AI 거버넌스 정책(AI Usage Policy)|AI-Governance-Policy]]
+- 관련: [[AI Humanism]] · [[AI Accountability]] · [[AI 거버넌스 정책(AI Usage Policy)|AI-Governance-Policy]]
 
 ## 🤖 LLM 활용 힌트 (How to Use This Knowledge)
 
@@ -388,7 +388,7 @@ class ImpactTracker:
 - **검토 이유:** Manual cleanup. 매 specific 프로그램 의 detail 가 evolving.
 
 ## 🧬 중복 검사 (Duplicate Check)
-- **기존 유사 문서:** [[AI-Humanism]] (related), [[AI-Ethics]] (parent), [[AI 거버넌스 정책(AI Usage Policy)|AI-Governance-Policy]] (related).
+- **기존 유사 문서:** [[AI Humanism]] (related), [[AI-Ethics]] (parent), [[AI 거버넌스 정책(AI Usage Policy)|AI-Governance-Policy]] (related).
 - **처리 방식:** KEEP (specific application focus).
 - **처리 이유:** AI4SG 가 distinct application area + methodology.
 
diff --git a/10_Wiki/Topics/AI_and_ML/AI 거버넌스 정책(AI Usage Policy).md b/10_Wiki/Topics/AI_and_ML/AI 거버넌스 정책(AI Usage Policy).md
index d2bf0610..6e1bf428 100644
--- a/10_Wiki/Topics/AI_and_ML/AI 거버넌스 정책(AI Usage Policy).md	
+++ b/10_Wiki/Topics/AI_and_ML/AI 거버넌스 정책(AI Usage Policy).md	
@@ -300,7 +300,7 @@ def audit_bias(model, test_set):
 - 부모: [[AI-Ethics]] · [[Risk_Management|Risk-Management]]
 - 응용: [[NIST-AI-RMF]] · [[ISO-42001]]
 - 기술: [[Model-Card]]
-- 응용: [[AI-Literacy]] · [[AI-Accountability]]
+- 응용: [[AI Literacy]] · [[AI Accountability]]
 
 ## 🤖 LLM 활용 힌트 (How to Use This Knowledge)
 
@@ -334,7 +334,7 @@ def audit_bias(model, test_set):
 - **검토 이유:** Manual cleanup. Regulation 의 active update. 매 6 month review.
 
 ## 🧬 중복 검사 (Duplicate Check)
-- **기존 유사 문서:** [[AI-Ethics]] (parent), [[AI-Safety]] (related), [[AI-Accountability]] (subset).
+- **기존 유사 문서:** [[AI-Ethics]] (parent), [[AI Safety]] (related), [[AI Accountability]] (subset).
 - **처리 방식:** KEEP (organizational governance focus).
 - **처리 이유:** Policy 가 distinct discipline (ethics + compliance + ops).
 
diff --git a/10_Wiki/Topics/AI_and_ML/AI 기반 코드 분석 도구 (AI-Powered Code Analysis Tools).md b/10_Wiki/Topics/AI_and_ML/AI 기반 코드 분석 도구 (AI-Powered Code Analysis Tools).md
index 0be99a9a..6827d26b 100644
--- a/10_Wiki/Topics/AI_and_ML/AI 기반 코드 분석 도구 (AI-Powered Code Analysis Tools).md	
+++ b/10_Wiki/Topics/AI_and_ML/AI 기반 코드 분석 도구 (AI-Powered Code Analysis Tools).md	
@@ -480,12 +480,12 @@ async function processSuggestion(suggestion) {
 - **DORA metric 의 unclear improvement**: 매 study 의 mixed evidence.
 
 ## 🔗 지식 연결 (Graph)
-- 부모: [[AI_코드_리뷰]] · [[Static-Analysis]] · [[CI_CD 파이프라인 및 IDE 통합 보안|DevSecOps]]
+- 부모: [[AI_코드_리뷰]] · [[Static-Analysis]] · [[CI/CD Pipeline & IDE Security Integration|DevSecOps]]
 - 변형: [[CodeRabbit]] · [[Greptile]] · [[Cursor]] · [[Sonar]]
-- 응용: [[Codebase-RAG]] · [[Code-Property-Graph]]
+- 응용: [[Codebase-RAG]] · [[Code Property Graph]]
 - 기술: [[AST]] · [[Semgrep]] · [[CodeQL]] · [[Joern]]
 - 응용: [[Behavioral-Code-Analysis]] · [[Technical_Debt|Technical-Debt]]
-- Adjacent: [[AI-Code-Agent-Patterns]]
+- Adjacent: [[Code Agent — Devin / Cursor / Claude Code]]
 
 ## 🤖 LLM 활용 힌트 (How to Use This Knowledge)
 
diff --git a/10_Wiki/Topics/AI_and_ML/AI 모델 사후 편집 도구 (Post-editing Tools).md b/10_Wiki/Topics/AI_and_ML/AI 모델 사후 편집 도구 (Post-editing Tools).md
index 0f3e36e7..404fb1a5 100644
--- a/10_Wiki/Topics/AI_and_ML/AI 모델 사후 편집 도구 (Post-editing Tools).md	
+++ b/10_Wiki/Topics/AI_and_ML/AI 모델 사후 편집 도구 (Post-editing Tools).md	
@@ -425,7 +425,7 @@ with ThreadPoolExecutor(max_workers=4) as executor:
 - **Inpaint dedicated model vs general**: 매 dedicated 의 better.
 
 ## 🔗 지식 연결 (Graph)
-- 부모: [[AI 이미지 생성 (AI Image Generation)]] · [[Diffusion-Models]]
+- 부모: [[AI Image Generation]] · [[Diffusion-Models]]
 - 변형: [[Inpainting]] · [[Outpainting]] · [[Upscale]] · [[ControlNet]]
 - 응용: [[Midjourney-Vary-Region]]
 - Tool: [[IP-Adapter]]
@@ -461,7 +461,7 @@ with ThreadPoolExecutor(max_workers=4) as executor:
 - **검토 이유:** Manual cleanup. 매 platform 의 evolution.
 
 ## 🧬 중복 검사 (Duplicate Check)
-- **기존 유사 문서:** [[AI 이미지 생성 (AI Image Generation)]] (parent), [[AI 이미지 생성 및 편집 워크플로우]] (related), [[AI 이미지 품질 최적화]] (related).
+- **기존 유사 문서:** [[AI Image Generation]] (parent), [[AI 이미지 생성 및 편집 워크플로우]] (related), [[AI 이미지 품질 최적화]] (related).
 - **처리 방식:** KEEP (focused on post-editing tools).
 - **처리 이유:** Specific to refinement workflow.
 
diff --git a/10_Wiki/Topics/AI_and_ML/AI 생성 코드 검증(AI Code Assurance).md b/10_Wiki/Topics/AI_and_ML/AI 생성 코드 검증(AI Code Assurance).md
index 5ea81215..987ba558 100644
--- a/10_Wiki/Topics/AI_and_ML/AI 생성 코드 검증(AI Code Assurance).md	
+++ b/10_Wiki/Topics/AI_and_ML/AI 생성 코드 검증(AI Code Assurance).md	
@@ -284,10 +284,10 @@ I have reviewed:
 **기본값**: Type + lint + SAST + test + AI review + human review. 매 AI-heavy PR 의 enhanced.
 
 ## 🔗 Graph
-- 부모: [[AI_코드_리뷰]] · [[CI_CD 파이프라인 및 IDE 통합 보안|DevSecOps]] · [[Code-Quality]]
+- 부모: [[AI_코드_리뷰]] · [[CI/CD Pipeline & IDE Security Integration|DevSecOps]] · [[Code-Quality]]
 - 변형: [[SAST]] · [[LLM-as-Judge]]
 - 응용: [[CodeRabbit]] · [[Snyk-Code]] · [[Sonar]]
-- Adjacent: [[AI-Code-Agent-Patterns]]
+- Adjacent: [[Code Agent — Devin / Cursor / Claude Code]]
 
 ## 🤖 LLM 활용
 **언제**: 매 team 의 AI tool 의 adoption + quality.
@@ -303,7 +303,7 @@ I have reviewed:
 ## 🧪 검증 / 중복
 - Verified (concept).
 - 신뢰도 B.
-- Related: [[AI_코드_리뷰]], [[AI 기반 코드 분석 도구 (AI-Powered Code Analysis Tools)]].
+- Related: [[AI_코드_리뷰]], [[AI-Powered Code Analysis Tools]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/AI 이미지 생성 (AI Image Generation).md b/10_Wiki/Topics/AI_and_ML/AI 이미지 생성 (AI Image Generation).md
index 151ef9bb..4bcd187a 100644
--- a/10_Wiki/Topics/AI_and_ML/AI 이미지 생성 (AI Image Generation).md	
+++ b/10_Wiki/Topics/AI_and_ML/AI 이미지 생성 (AI Image Generation).md	
@@ -474,7 +474,7 @@ print(f"CLIP score: {similarity:.3f}")
 - 부모: [[Generative-AI]] · [[Diffusion-Models]] · [[Computer Vision|Computer-Vision]]
 - 변형: [[Stable-Diffusion]] · [[Flux]] · [[Midjourney]] · [[DALL-E]] · [[Imagen]]
 - 응용: [[ControlNet]] · [[LoRA]] · [[Inpainting]] · [[IP-Adapter]]
-- 기법: [[Prompt_Engineering|Prompt-Engineering]] · [[Negative-Prompt]] · [[CFG-Scale]] · [[Sampling-Steps]]
+- 기법: [[Prompt_Engineering|Prompt-Engineering]] · [[Negative Prompt]] · [[CFG Scale]] · [[Sampling-Steps]]
 - Tools: [[ComfyUI]]
 
 ## 🤖 LLM 활용 힌트 (How to Use This Knowledge)
diff --git a/10_Wiki/Topics/AI_and_ML/AI 이미지 생성 및 편집 워크플로우 (AI Image Generation & Editing Workflow).md b/10_Wiki/Topics/AI_and_ML/AI 이미지 생성 및 편집 워크플로우 (AI Image Generation & Editing Workflow).md
index 180eef92..6de2e1fc 100644
--- a/10_Wiki/Topics/AI_and_ML/AI 이미지 생성 및 편집 워크플로우 (AI Image Generation & Editing Workflow).md	
+++ b/10_Wiki/Topics/AI_and_ML/AI 이미지 생성 및 편집 워크플로우 (AI Image Generation & Editing Workflow).md	
@@ -205,9 +205,9 @@ result = pipe(
 **기본값**: Draft 30 → Select 5 → Final + post-edit. 매 cost 의 80% saving + quality 의 maintain.
 
 ## 🔗 Graph
-- 부모: [[AI 이미지 생성 (AI Image Generation)]]
+- 부모: [[AI Image Generation]]
 - 변형: [[Iterative-Refinement]] · [[Draft-Mode]] · [[AI 모델 사후 편집 도구 (Post-editing Tools)|Post-editing-Tools]]
-- Adjacent: [[Style-Reference]] · [[ControlNet]]
+- Adjacent: [[Style Reference]] · [[ControlNet]]
 
 ## 🤖 LLM 활용
 **언제**: 매 commercial creative project. 매 brand campaign.
@@ -223,7 +223,7 @@ result = pipe(
 ## 🧪 검증 / 중복
 - Verified.
 - 신뢰도 B.
-- Overlap with [[AI 이미지 생성 (AI Image Generation)]] / [[AI 모델 사후 편집 도구 (Post-editing Tools)|Post-editing-Tools]].
+- Overlap with [[AI Image Generation]] / [[AI 모델 사후 편집 도구 (Post-editing Tools)|Post-editing-Tools]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/AI 이미지 품질 최적화 및 디버깅 (Image Quality Optimization & Debugging).md b/10_Wiki/Topics/AI_and_ML/AI 이미지 품질 최적화 및 디버깅 (Image Quality Optimization & Debugging).md
index af9318a8..49fbf71b 100644
--- a/10_Wiki/Topics/AI_and_ML/AI 이미지 품질 최적화 및 디버깅 (Image Quality Optimization & Debugging).md	
+++ b/10_Wiki/Topics/AI_and_ML/AI 이미지 품질 최적화 및 디버깅 (Image Quality Optimization & Debugging).md	
@@ -296,8 +296,8 @@ def llm_judge(image_url, prompt):
 **기본값**: Specific negative > generic. Inpaint > regenerate. ControlNet 의 anatomy. Detect → fix loop.
 
 ## 🔗 Graph
-- 부모: [[AI 이미지 생성 (AI Image Generation)]]
-- 변형: [[Negative-Prompt]] · [[Inpainting]]
+- 부모: [[AI Image Generation]]
+- 변형: [[Negative Prompt]] · [[Inpainting]]
 - 응용: [[ControlNet]]
 - Adjacent: [[AI 모델 사후 편집 도구 (Post-editing Tools)|Post-editing-Tools]]
 
@@ -315,7 +315,7 @@ def llm_judge(image_url, prompt):
 ## 🧪 검증 / 중복
 - Verified.
 - 신뢰도 B.
-- Overlap with [[AI 모델 사후 편집 도구 (Post-editing Tools)|Post-editing-Tools]] / [[AI 이미지 생성 (AI Image Generation)]].
+- Overlap with [[AI 모델 사후 편집 도구 (Post-editing Tools)|Post-editing-Tools]] / [[AI Image Generation]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/AI 추적 논리(AI Pursuit Logic).md b/10_Wiki/Topics/AI_and_ML/AI 추적 논리(AI Pursuit Logic).md
index 23184c6a..3c4ac8fe 100644
--- a/10_Wiki/Topics/AI_and_ML/AI 추적 논리(AI Pursuit Logic).md	
+++ b/10_Wiki/Topics/AI_and_ML/AI 추적 논리(AI Pursuit Logic).md	
@@ -435,7 +435,7 @@ public class AntiCheese : MonoBehaviour {
 - **AI 의 squad coordination 의 cost**: 매 sophisticated 의 dev expensive.
 
 ## 🔗 지식 연결 (Graph)
-- 응용: [[AI-Exploitation]] · [[Baiting-Tactics]]
+- 응용: [[AI Exploitation (Game AI 공략)]] · [[Baiting Tactics]]
 - 매 game: [[War-Commander]]
 - Adjacent: [[Behavior-Tree]]
 
@@ -468,7 +468,7 @@ public class AntiCheese : MonoBehaviour {
 - **검토 이유:** Manual cleanup. 매 specific game 의 implementation 가 design choice.
 
 ## 🧬 중복 검사 (Duplicate Check)
-- **기존 유사 문서:** [[AI-Exploitation]] (related), [[Game-AI-Behavior-Tree]] (parent), [[Combat-AI]] (parent).
+- **기존 유사 문서:** [[AI Exploitation (Game AI 공략)]] (related), [[Game-AI-Behavior-Tree]] (parent), [[Combat-AI]] (parent).
 - **처리 방식:** KEEP (specific focus on pursuit).
 - **처리 이유:** Pursuit logic 가 specific component.
 
diff --git a/10_Wiki/Topics/AI_and_ML/AI 코드 리뷰 및 보안 취약점 점검(DevSecOps).md b/10_Wiki/Topics/AI_and_ML/AI 코드 리뷰 및 보안 취약점 점검(DevSecOps).md
index de345036..9ec3ce8a 100644
--- a/10_Wiki/Topics/AI_and_ML/AI 코드 리뷰 및 보안 취약점 점검(DevSecOps).md	
+++ b/10_Wiki/Topics/AI_and_ML/AI 코드 리뷰 및 보안 취약점 점검(DevSecOps).md	
@@ -261,10 +261,10 @@ repos:
 **기본값**: IDE + PR + pre-deploy 의 layered. 매 gate 의 different threshold.
 
 ## 🔗 Graph
-- 부모: [[CI_CD 파이프라인 및 IDE 통합 보안|DevSecOps]] · [[AI_코드_리뷰]] · [[Security]]
-- 변형: [[SAST]] · [[보안_및_시스템_신뢰성_표준|DAST]] · [[Shift-Left-Security]]
+- 부모: [[CI/CD Pipeline & IDE Security Integration|DevSecOps]] · [[AI_코드_리뷰]] · [[Security]]
+- 변형: [[SAST]] · [[보안 및 시스템 신뢰성 표준|DAST]] · [[Shift-Left-Security]]
 - 응용: [[CodeRabbit]] · [[Sonar]] · [[Semgrep]]
-- 매 OWASP: [[OWASP-Top-10]]
+- 매 OWASP: [[OWASP Top 10]]
 - Adjacent: [[Dependency-Update]] · [[Secret-Detection]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/AI-Overviews-and-SGE.md b/10_Wiki/Topics/AI_and_ML/AI-Overviews-and-SGE.md
index eada3464..d3f4b930 100644
--- a/10_Wiki/Topics/AI_and_ML/AI-Overviews-and-SGE.md
+++ b/10_Wiki/Topics/AI_and_ML/AI-Overviews-and-SGE.md
@@ -197,7 +197,7 @@ inferred_by: Claude Opus 4.7 (manual cleanup 2026-05-09)
 ## 🔗 Graph
 - 부모: [[SEO]]
 - 변형: [[AI-Answer-Engine-Optimization]] · [[Generative-Engine-Optimization]]
-- 응용: [[Core Web Vitals Optimization (INP, LCP 개선)|Core-Web-Vitals]]
+- 응용: [[Core Web Vitals Optimization (INP, LCP, CLS)|Core-Web-Vitals]]
 - Adjacent: [[Zero-Click-Search]] · [[Knowledge Graph|Knowledge-Graph]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/AI_Content_Production_Pipeline.md b/10_Wiki/Topics/AI_and_ML/AI_Content_Production_Pipeline.md
index c494d0f1..7f1fc663 100644
--- a/10_Wiki/Topics/AI_and_ML/AI_Content_Production_Pipeline.md
+++ b/10_Wiki/Topics/AI_and_ML/AI_Content_Production_Pipeline.md
@@ -249,7 +249,7 @@ async def monitor_articles():
 ## 🧪 검증 / 중복
 - Verified.
 - 신뢰도 B.
-- Related: [[AdSense-Revenue-Blog-Architecture]].
+- Related: [[AdSense Revenue Blog Architecture]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/AI_Image_Generation_Workflow.md b/10_Wiki/Topics/AI_and_ML/AI_Image_Generation_Workflow.md
index e210360e..6d0dd439 100644
--- a/10_Wiki/Topics/AI_and_ML/AI_Image_Generation_Workflow.md
+++ b/10_Wiki/Topics/AI_and_ML/AI_Image_Generation_Workflow.md
@@ -53,7 +53,7 @@ github_commit: pending
 - Compositing.
 
 ### Cross-reference
-- See [[AI 이미지 생성 (AI Image Generation)]] (platform comparison).
+- See [[AI Image Generation]] (platform comparison).
 - See [[AI 이미지 생성 및 편집 워크플로우]] (continuous workflow).
 - See [[AI 모델 사후 편집 도구 (Post-editing Tools)|Post-editing-Tools]] (specific tools).
 - See [[AI 이미지 품질 최적화 및 디버깅]] (defect fix).
@@ -82,7 +82,7 @@ class Workflow:
 ```
 
 ## 🔗 Graph
-- 매 detail 의 [[AI 이미지 생성 (AI Image Generation)]] · [[AI 모델 사후 편집 도구 (Post-editing Tools)|Post-editing-Tools]] ·  의 reference.
+- 매 detail 의 [[AI Image Generation]] · [[AI 모델 사후 편집 도구 (Post-editing Tools)|Post-editing-Tools]] ·  의 reference.
 
 ## 🤖 LLM 활용
 **언제**: 매 image gen 의 first overview.
diff --git a/10_Wiki/Topics/AI_and_ML/AI_Powered_Code_Analysis.md b/10_Wiki/Topics/AI_and_ML/AI_Powered_Code_Analysis.md
index 21f6fa00..bc37ccba 100644
--- a/10_Wiki/Topics/AI_and_ML/AI_Powered_Code_Analysis.md
+++ b/10_Wiki/Topics/AI_and_ML/AI_Powered_Code_Analysis.md
@@ -259,10 +259,10 @@ def dashboard_metrics():
 **기본값**: SAST + LLM triage + autofix 의 confidence-based gating.
 
 ## 🔗 Graph
-- 부모: [[AI_코드_리뷰]] · [[SAST]] · [[CI_CD 파이프라인 및 IDE 통합 보안|DevSecOps]]
+- 부모: [[AI_코드_리뷰]] · [[SAST]] · [[CI/CD Pipeline & IDE Security Integration|DevSecOps]]
 - 변형: [[Snyk-Code]] · [[CodeRabbit]]
 - 응용: [[AI-Code-Assurance]]
-- Adjacent: [[AI 기반 코드 분석 도구 (AI-Powered Code Analysis Tools)]]
+- Adjacent: [[AI-Powered Code Analysis Tools]]
 
 ## 🤖 LLM 활용
 **언제**: 매 large codebase 의 vulnerability triage. 매 alert fatigue 의 reduce.
@@ -278,7 +278,7 @@ def dashboard_metrics():
 ## 🧪 검증 / 중복
 - Verified.
 - 신뢰도 B.
-- Related: [[AI_코드_리뷰]] · [[AI-Code-Assurance]] · [[AI 기반 코드 분석 도구 (AI-Powered Code Analysis Tools)]].
+- Related: [[AI_코드_리뷰]] · [[AI-Code-Assurance]] · [[AI-Powered Code Analysis Tools]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/AI_Safety_and_Alignment.md b/10_Wiki/Topics/AI_and_ML/AI_Safety_and_Alignment.md
index e68d7867..782aef48 100644
--- a/10_Wiki/Topics/AI_and_ML/AI_Safety_and_Alignment.md
+++ b/10_Wiki/Topics/AI_and_ML/AI_Safety_and_Alignment.md
@@ -372,7 +372,7 @@ trainer.train()
 
 ## 🔗 지식 연결 (Graph)
 - 부모: [[AI-Ethics]] · [[AI 거버넌스 정책(AI Usage Policy)|AI-Governance-Policy]]
-- 응용: [[AI-Accountability]] · [[AI-Literacy]]
+- 응용: [[AI Accountability]] · [[AI Literacy]]
 - Adjacent: [[AI_Safety_and_Alignment|Goal-Misgeneralization]] · [[Sparse-Autoencoder]]
 
 ## 🤖 LLM 활용 힌트 (How to Use This Knowledge)
diff --git a/10_Wiki/Topics/AI_and_ML/AI_기반_코드_분석_자동화Autofix_및_Triage.md b/10_Wiki/Topics/AI_and_ML/AI_기반_코드_분석_자동화Autofix_및_Triage.md
index dddaf095..3e8e49a3 100644
--- a/10_Wiki/Topics/AI_and_ML/AI_기반_코드_분석_자동화Autofix_및_Triage.md
+++ b/10_Wiki/Topics/AI_and_ML/AI_기반_코드_분석_자동화Autofix_및_Triage.md
@@ -43,7 +43,7 @@ github_commit: pending
 
 ## 🔗 Graph
 - 매 canonical 의 [[AI_Powered_Code_Analysis]].
-- 매 related 의 [[AI 기반 코드 분석 도구 (AI-Powered Code Analysis Tools)]] · [[AI 기반 코드 분석 도구 (AI-Powered Code Analysis Tools)]] · .
+- 매 related 의 [[AI-Powered Code Analysis Tools]] · [[AI 기반 코드 분석 도구 (AI-Powered Code Analysis Tools)]] · .
 
 ## 🤖 LLM 활용
 **언제**: Korean documentation 의 reference. 매 main detail 은 [[AI_Powered_Code_Analysis]] 참고.
diff --git a/10_Wiki/Topics/AI_and_ML/AI_코드_리뷰.md b/10_Wiki/Topics/AI_and_ML/AI_코드_리뷰.md
index 3f5b8c1c..2d39ccf6 100644
--- a/10_Wiki/Topics/AI_and_ML/AI_코드_리뷰.md
+++ b/10_Wiki/Topics/AI_and_ML/AI_코드_리뷰.md
@@ -460,13 +460,13 @@ If NO critical issues, just say "LGTM 🎉".
 - **DORA metric 의 game-able**: 매 tool adoption ≠ outcome.
 
 ## 🔗 지식 연결 (Graph)
-- 부모: [[CI_CD 파이프라인 및 IDE 통합 보안|DevSecOps]] · [[Static-Analysis]]
+- 부모: [[CI/CD Pipeline & IDE Security Integration|DevSecOps]] · [[Static-Analysis]]
 - 변형: [[CodeRabbit]] · [[Greptile]]
 - 응용: [[Snyk-Code]] · [[SonarQube]]
 - AI: [[Codebase-RAG]] · [[Auto-Fix]]
 - 응용: [[PR-Workflow]] · [[DORA-Metrics]]
 - Adjacent: [[Green-Check-Mark-Syndrome]]
-- Related: [[AI-Code-Agent-Patterns]]
+- Related: [[Code Agent — Devin / Cursor / Claude Code]]
 
 ## 🤖 LLM 활용 힌트 (How to Use This Knowledge)
 
@@ -499,7 +499,7 @@ If NO critical issues, just say "LGTM 🎉".
 - **검토 이유:** Manual cleanup (extracted from messy auto-merged document). 매 tool 의 evolution.
 
 ## 🧬 중복 검사 (Duplicate Check)
-- **기존 유사 문서:** [[Code-Review-Modern]] (parent), [[AI-Powered-Code-Analysis]] (related), [[CI_CD 파이프라인 및 IDE 통합 보안|DevSecOps]] (related).
+- **기존 유사 문서:** [[Code-Review-Modern]] (parent), [[AI-Powered Code Analysis (Autofix + Triage)]] (related), [[CI/CD Pipeline & IDE Security Integration|DevSecOps]] (related).
 - **처리 방식:** KEEP (focused on AI-augmented review).
 - **처리 이유:** 매 AI integration 의 specific.
 
diff --git a/10_Wiki/Topics/AI_and_ML/AI와 기계에게 검열 맡기기_ - 정적 분석 툴 (ESLint Prettier)).md b/10_Wiki/Topics/AI_and_ML/AI와 기계에게 검열 맡기기_ - 정적 분석 툴 (ESLint Prettier)).md
index b8fe1f82..662e1134 100644
--- a/10_Wiki/Topics/AI_and_ML/AI와 기계에게 검열 맡기기_ - 정적 분석 툴 (ESLint Prettier)).md	
+++ b/10_Wiki/Topics/AI_and_ML/AI와 기계에게 검열 맡기기_ - 정적 분석 툴 (ESLint Prettier)).md	
@@ -215,7 +215,7 @@ npx biome lint .
 - 부모: [[Static-Analysis]] · [[Code-Quality]]
 - 변형: [[Biome]] · [[Oxlint]] ·  (CSS) ·  (Python) ·  (Rust)
 - 응용: [[AST]]
-- Adjacent: [[AI_코드_리뷰]] · [[AI-Powered-Code-Analysis]]
+- Adjacent: [[AI_코드_리뷰]] · [[AI-Powered Code Analysis (Autofix + Triage)]]
 
 ## 🤖 LLM 활용
 **언제**: 매 codebase quality 의 setup. 매 team convention 의 enforce.
@@ -231,7 +231,7 @@ npx biome lint .
 ## 🧪 검증 / 중복
 - Verified (industry standard).
 - 신뢰도 B.
-- Related: [[AI_코드_리뷰]] · [[AI-Powered-Code-Analysis]] · [[AST]].
+- Related: [[AI_코드_리뷰]] · [[AI-Powered Code Analysis (Autofix + Triage)]] · [[AST]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/API 응답 모델링 및 상태 머신(State Machine) 설계.md b/10_Wiki/Topics/AI_and_ML/API 응답 모델링 및 상태 머신(State Machine) 설계.md
index 57d865a2..20c8dd08 100644
--- a/10_Wiki/Topics/AI_and_ML/API 응답 모델링 및 상태 머신(State Machine) 설계.md	
+++ b/10_Wiki/Topics/AI_and_ML/API 응답 모델링 및 상태 머신(State Machine) 설계.md	
@@ -314,7 +314,7 @@ test('login flow', () => {
 **기본값**: Discriminated union + useReducer. 매 complex flow 의 XState.
 
 ## 🔗 Graph
-- 부모: [[State-Management]] · [[API-Design]]
+- 부모: [[State Management]] · [[API-Design]]
 - 변형: [[XState]]
 - 응용: [[FSM]]
 - Adjacent: [[Discriminated-Union]] · [[useReducer]] · [[Zustand]]
diff --git a/10_Wiki/Topics/AI_and_ML/API 응답 및 상태 모델링 (State Modeling and API Responses).md b/10_Wiki/Topics/AI_and_ML/API 응답 및 상태 모델링 (State Modeling and API Responses).md
index 682eb909..c520180a 100644
--- a/10_Wiki/Topics/AI_and_ML/API 응답 및 상태 모델링 (State Modeling and API Responses).md	
+++ b/10_Wiki/Topics/AI_and_ML/API 응답 및 상태 모델링 (State Modeling and API Responses).md	
@@ -275,9 +275,9 @@ function useFetchUser(id: string) {
 **기본값**: Discriminated union + Result type + Zod validation.
 
 ## 🔗 Graph
-- 부모: [[TypeScript]] · [[State-Management]] · [[API-Design]]
-- 변형: [[Discriminated-Union]] · [[Tagged-Union]] · [[Result-Type]]
-- 응용: [[XState]] · [[Effect-TS]]
+- 부모: [[TypeScript]] · [[State Management]] · [[API-Design]]
+- 변형: [[Discriminated-Union]] · [[Tagged-Union]] · [[Result Type]]
+- 응용: [[XState]] · [[Effect TS]]
 - Adjacent: [[Branded-Types]] · [[Exhaustive-Check]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/AdSense_Revenue_Blog_Architecture.md b/10_Wiki/Topics/AI_and_ML/AdSense_Revenue_Blog_Architecture.md
index 134d73fc..c49e1c92 100644
--- a/10_Wiki/Topics/AI_and_ML/AdSense_Revenue_Blog_Architecture.md
+++ b/10_Wiki/Topics/AI_and_ML/AdSense_Revenue_Blog_Architecture.md
@@ -154,7 +154,7 @@ ORDER BY rpm DESC LIMIT 50;
 
 ## 🔗 Graph
 - 부모: [[SEO]]
-- 응용: [[Core Web Vitals Optimization (INP, LCP 개선)|Core Web Vitals]]
+- 응용: [[Core Web Vitals Optimization (INP, LCP, CLS)|Core Web Vitals]]
 
 ## 🤖 LLM 활용
 **언제**: 매 outline draft, 매 keyword cluster, 매 metadata generation, 매 internal-link suggestion.
diff --git a/10_Wiki/Topics/AI_and_ML/Addiction_Neuroscience.md b/10_Wiki/Topics/AI_and_ML/Addiction_Neuroscience.md
index 5a6de58d..0c1cb673 100644
--- a/10_Wiki/Topics/AI_and_ML/Addiction_Neuroscience.md
+++ b/10_Wiki/Topics/AI_and_ML/Addiction_Neuroscience.md
@@ -173,7 +173,7 @@ function checkPurchase(monthlySpend: number, attemptedSpend: number) {
 - 부모: [[Reward-System]]
 - 관련 brain region: [[Dopamine-Pathway]] · [[Prefrontal-Cortex]]
 - 응용: [[Loot-Box-Mechanics]]
-- Adjacent: [[Neuroplasticity]] · [[Reward-Prediction-Error]] · [[Operant-Conditioning]]
+- Adjacent: [[Neuroplasticity]] · [[Reward Prediction Error]] · [[Operant-Conditioning]]
 
 ## 🤖 LLM 활용 힌트 (How to Use This Knowledge)
 
diff --git a/10_Wiki/Topics/AI_and_ML/Algorithmic Fairness.md b/10_Wiki/Topics/AI_and_ML/Algorithmic Fairness.md
index b64e0da2..e30a25ae 100644
--- a/10_Wiki/Topics/AI_and_ML/Algorithmic Fairness.md	
+++ b/10_Wiki/Topics/AI_and_ML/Algorithmic Fairness.md	
@@ -258,7 +258,7 @@ def counterfactual_test(model, instance, protected_attr='gender'):
 **기본값**: 4/5 rule check + per-group accuracy + counterfactual test + disclosure.
 
 ## 🔗 Graph
-- 부모: [[AI-Ethics]] · [[AI-Accountability]]
+- 부모: [[AI-Ethics]] · [[AI Accountability]]
 - 변형: [[Group-Fairness]]
 
 ## 🤖 LLM 활용
@@ -275,7 +275,7 @@ def counterfactual_test(model, instance, protected_attr='gender'):
 ## 🧪 검증 / 중복
 - Verified.
 - 신뢰도 B (academic + industry consensus).
-- Related: [[AI-Accountability]] · [[AI 거버넌스 정책(AI Usage Policy)|AI-Governance-Policy]].
+- Related: [[AI Accountability]] · [[AI 거버넌스 정책(AI Usage Policy)|AI-Governance-Policy]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Algorithmic Transparency.md b/10_Wiki/Topics/AI_and_ML/Algorithmic Transparency.md
index 7f228775..c26b11b2 100644
--- a/10_Wiki/Topics/AI_and_ML/Algorithmic Transparency.md	
+++ b/10_Wiki/Topics/AI_and_ML/Algorithmic Transparency.md	
@@ -299,10 +299,10 @@ function ChatHeader() {
 **기본값**: Disclosure + audit log + per-prediction explanation. 매 high-stakes 의 더 strict.
 
 ## 🔗 Graph
-- 부모: [[AI-Ethics]] · [[AI-Accountability]]
+- 부모: [[AI-Ethics]] · [[AI Accountability]]
 - 변형: [[Explainable-AI-XAI]] · [[Model-Card]]
 - Tools: [[SHAP]] · [[LIME]]
-- Adjacent: [[Algorithmic-Fairness]]
+- Adjacent: [[Algorithmic Fairness]]
 
 ## 🤖 LLM 활용
 **언제**: 매 production AI 의 transparency design. 매 user trust 의 build.
@@ -318,7 +318,7 @@ function ChatHeader() {
 ## 🧪 검증 / 중복
 - Verified.
 - 신뢰도 B.
-- Related: [[AI-Accountability]] · [[Algorithmic-Fairness]].
+- Related: [[AI Accountability]] · [[Algorithmic Fairness]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Algorithmic-Biology.md b/10_Wiki/Topics/AI_and_ML/Algorithmic-Biology.md
index 69926f3a..f174c0bf 100644
--- a/10_Wiki/Topics/AI_and_ML/Algorithmic-Biology.md
+++ b/10_Wiki/Topics/AI_and_ML/Algorithmic-Biology.md
@@ -143,9 +143,9 @@ sc.pl.umap(adata, color='leiden')
 **기본값**: BioPython + scanpy + AlphaFold (Colab) 의 entry stack.
 
 ## 🔗 Graph
-- 부모: [[Bioinformatics]] · [[Computational-Biology]] · [[Systems-Biology]]
+- 부모: [[Bioinformatics]] · [[Computational-Biology]] · [[Systems Biology]]
 - 변형: [[AlphaFold]]
-- Adjacent: [[Computational-Neuroscience-RL|Computational-Neuroscience]] · [[Cellular-Automata]] · [[Physics-Informed-Neural-Networks]]
+- Adjacent: [[Computational-Neuroscience-RL|Computational-Neuroscience]] · [[Cellular Automata]] · [[Physics-Informed-Neural-Networks]]
 
 ## 🤖 LLM 활용
 **언제**: 매 biological data 의 ML 적용. 매 protein / sequence / genome analysis. 매 drug discovery pipeline.
diff --git a/10_Wiki/Topics/AI_and_ML/Anaemic Domain Model.md b/10_Wiki/Topics/AI_and_ML/Anaemic Domain Model.md
index 2bc2a044..50ea70af 100644
--- a/10_Wiki/Topics/AI_and_ML/Anaemic Domain Model.md	
+++ b/10_Wiki/Topics/AI_and_ML/Anaemic Domain Model.md	
@@ -194,7 +194,7 @@ class Order {
 - 부모: [[Domain-Driven-Design]]
 - 변형: [[Transaction-Script]]
 - 응용: [[Aggregate-Root]] · [[Value-Object]] · [[Domain-Event]]
-- Adjacent: [[Bounded-Context]] · [[CQRS]] · [[Event-Sourcing]] · [[Hexagonal-Architecture]]
+- Adjacent: [[Bounded Context]] · [[CQRS]] · [[Event Sourcing]] · [[Hexagonal Architecture]]
 
 ## 🤖 LLM 활용
 **언제**: 매 backend service design 의 review. 매 DDD 의 적용 결정. 매 legacy 의 refactor.
diff --git a/10_Wiki/Topics/AI_and_ML/Anarcho-Primitivism.md b/10_Wiki/Topics/AI_and_ML/Anarcho-Primitivism.md
index fbf9e474..ee8c7987 100644
--- a/10_Wiki/Topics/AI_and_ML/Anarcho-Primitivism.md
+++ b/10_Wiki/Topics/AI_and_ML/Anarcho-Primitivism.md
@@ -125,7 +125,7 @@ def query_with_consciousness(prompt, model='gpt-4'):
 ## 🔗 Graph
 - 부모: [[Anarchism]]
 - 변형: [[Rewilding]]
-- Adjacent: [[Sustainability]] · [[Addiction-Neuroscience]]
+- Adjacent: [[Sustainability]] · [[Addiction Neuroscience]]
 
 ## 🤖 LLM 활용
 **언제**: 매 tech 의 ethics review. 매 sustainability decision. 매 digital wellness design.
diff --git a/10_Wiki/Topics/AI_and_ML/Anthropomorphism.md b/10_Wiki/Topics/AI_and_ML/Anthropomorphism.md
index c69bc8d5..40d6a616 100644
--- a/10_Wiki/Topics/AI_and_ML/Anthropomorphism.md
+++ b/10_Wiki/Topics/AI_and_ML/Anthropomorphism.md
@@ -144,7 +144,7 @@ const avatar = generateStylized('friendly cartoon robot, blue palette');
 ## 🔗 Graph
 - 부모: [[Psychology]] · [[HCI]] · [[AI-Ethics]]
 - 변형: [[ELIZA-Effect]] · [[Agent-Personality]]
-- Adjacent: [[EU-AI-Act]] · [[Addiction-Neuroscience]]
+- Adjacent: [[EU-AI-Act]] · [[Addiction Neuroscience]]
 
 ## 🤖 LLM 활용
 **언제**: 매 AI agent persona design. 매 chatbot UX. 매 robot 의 social acceptability.
@@ -161,7 +161,7 @@ const avatar = generateStylized('friendly cartoon robot, blue palette');
 ## 🧪 검증 / 중복
 - Verified (Epley et al., Mori, EU AI Act).
 - 신뢰도 B.
-- Related: [[Agent-Personality]] · [[Uncanny-Valley]] · [[AI-Ethics]] · [[Addiction-Neuroscience]].
+- Related: [[Agent-Personality]] · [[Uncanny-Valley]] · [[AI-Ethics]] · [[Addiction Neuroscience]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Arc 2 기술 및 2026년 연구 업데이트(March 2026 Research Drop).md b/10_Wiki/Topics/AI_and_ML/Arc 2 기술 및 2026년 연구 업데이트(March 2026 Research Drop).md
index c98f1b08..ca0dad20 100644
--- a/10_Wiki/Topics/AI_and_ML/Arc 2 기술 및 2026년 연구 업데이트(March 2026 Research Drop).md	
+++ b/10_Wiki/Topics/AI_and_ML/Arc 2 기술 및 2026년 연구 업데이트(March 2026 Research Drop).md	
@@ -196,7 +196,7 @@ def optimal_attack_mix(defender, available_units, budget):
 ## 🔗 Graph
 - 부모: [[War-Commander]] · [[Balance-Patch]]
 - 변형: [[Platform-Specialization]] · [[Mixed-Platoon-Tactics]] · [[Defensive-Architecture]]
-- 응용: [[Operation-Western-Sun]]
+- 응용: [[Operation - Western Sun]]
 - Adjacent: [[Damage-Type]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Architecture Anti-patterns.md b/10_Wiki/Topics/AI_and_ML/Architecture Anti-patterns.md
index 6321e312..87bed481 100644
--- a/10_Wiki/Topics/AI_and_ML/Architecture Anti-patterns.md	
+++ b/10_Wiki/Topics/AI_and_ML/Architecture Anti-patterns.md	
@@ -191,10 +191,10 @@ def detect_distributed_monolith(services, traces):
 **기본값**: 매 ADR + architecture test + tracing + postmortem.
 
 ## 🔗 Graph
-- 부모: [[Architecture-Styles]]
-- 변형: [[Big-Ball-of-Mud]] · [[Distributed-Monolith]] · [[Anaemic-Domain-Model]] · [[God-Object]]
-- 응용: [[Circuit-Breaker]] · [[ADR]] · [[Bounded-Context]]
-- Adjacent: [[Technical_Debt|Technical-Debt]] · [[Code-Smells]] · [[Refactoring_Best_Practices|Refactoring]] · [[Postmortem]]
+- 부모: [[Software Architecture Styles]]
+- 변형: [[Big-Ball-of-Mud]] · [[Distributed-Monolith]] · [[Anaemic Domain Model]] · [[God-Object]]
+- 응용: [[Circuit-Breaker]] · [[ADR]] · [[Bounded Context]]
+- Adjacent: [[Technical_Debt|Technical-Debt]] · [[Code Smells]] · [[Refactoring_Best_Practices|Refactoring]] · [[Postmortem]]
 
 ## 🤖 LLM 활용
 **언제**: 매 architecture review. 매 design decision. 매 incident 의 root cause analysis.
@@ -210,7 +210,7 @@ def detect_distributed_monolith(services, traces):
 ## 🧪 검증 / 중복
 - Verified (Mark Richards, Sam Newman, AWS Well-Architected).
 - 신뢰도 B.
-- Related: [[Architecture-Styles]] · [[Anaemic-Domain-Model]] · [[Circuit-Breaker]].
+- Related: [[Software Architecture Styles]] · [[Anaemic Domain Model]] · [[Circuit-Breaker]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Architecture_Styles.md b/10_Wiki/Topics/AI_and_ML/Architecture_Styles.md
index 75a82e2e..3d9fa75e 100644
--- a/10_Wiki/Topics/AI_and_ML/Architecture_Styles.md
+++ b/10_Wiki/Topics/AI_and_ML/Architecture_Styles.md
@@ -199,10 +199,10 @@ module.exports = {
 
 ## 🔗 Graph
 - 부모: [[System-Design]]
-- 변형: [[Layered-Architecture]] · [[Clean-Architecture]] · [[Hexagonal-Architecture]] · [[Domain-Driven-Design]] · [[Microservices]] · [[Event-Driven-Architecture]]
-- 응용: [[CQRS]] · [[Event-Sourcing]] · [[Serverless]] · [[Strangler-Fig]]
-- 검증: [[ADR]] · [[C4-Model]] · [[Dependency-Cruiser]] · [[ArchUnit]]
-- Adjacent: [[SOLID]] · [[Design-Patterns]] · [[Anaemic-Domain-Model]]
+- 변형: [[Layered-Architecture]] · [[Clean-Architecture]] · [[Hexagonal Architecture]] · [[Domain-Driven-Design]] · [[Microservices]] · [[Event-Driven-Architecture]]
+- 응용: [[CQRS]] · [[Event Sourcing]] · [[Serverless]] · [[Strangler-Fig]]
+- 검증: [[ADR]] · [[C4 Model (Architecture Documentation)]] · [[Dependency-Cruiser]] · [[ArchUnit]]
+- Adjacent: [[SOLID]] · [[Design-Patterns]] · [[Anaemic Domain Model]]
 
 ## 🤖 LLM 활용
 **언제**: 매 system design review. 매 codebase 의 first read. 매 architecture decision.
diff --git a/10_Wiki/Topics/AI_and_ML/Artificial Intelligence (AI).md b/10_Wiki/Topics/AI_and_ML/Artificial Intelligence (AI).md
index 1016f3e2..7434821c 100644
--- a/10_Wiki/Topics/AI_and_ML/Artificial Intelligence (AI).md	
+++ b/10_Wiki/Topics/AI_and_ML/Artificial Intelligence (AI).md	
@@ -27,7 +27,7 @@ github_commit: pending
 
 ## 🔗 Graph
 - 부모: [[Artificial-Intelligence]] (canonical)
-- Adjacent: [[Machine-Learning]] · [[LLM]] · [[Deep-Learning]] · [[AGI]]
+- Adjacent: [[Machine-Learning]] · [[LLM]] · [[Deep Learning]] · [[AGI]]
 
 ## 🕓 변경 이력
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Artificial-Intelligence.md b/10_Wiki/Topics/AI_and_ML/Artificial-Intelligence.md
index b3d32201..ab2b1ec1 100644
--- a/10_Wiki/Topics/AI_and_ML/Artificial-Intelligence.md
+++ b/10_Wiki/Topics/AI_and_ML/Artificial-Intelligence.md
@@ -204,9 +204,9 @@ result = agent.invoke({'input': 'What is 2026 + 1, and search what happened then
 
 ## 🔗 Graph
 - 부모: [[Statistics]]
-- 변형: [[Machine-Learning]] · [[Deep-Learning]] · [[Reinforcement-Learning]] · [[NLP]] · [[Computer Vision|Computer-Vision]]
+- 변형: [[Machine-Learning]] · [[Deep Learning]] · [[Reinforcement-Learning]] · [[NLP]] · [[Computer Vision|Computer-Vision]]
 - 응용: [[Transformer_Architecture_and_LLM_Foundations|LLM]] · [[Agent]] · [[RAG]] · [[Foundation-Model]]
-- 비판: [[AI-Safety]] · [[AI-Ethics]] · [[AI_Safety_and_Alignment|AI-Alignment]] · [[Hallucination]]
+- 비판: [[AI Safety]] · [[AI-Ethics]] · [[AI_Safety_and_Alignment|AI-Alignment]] · [[Hallucination]]
 - Adjacent: [[Neural-Symbolic-Integration|Neuro-Symbolic-AI]] · [[AGI]] · [[Scaling-Laws]]
 
 ## 🤖 LLM 활용
@@ -224,7 +224,7 @@ result = agent.invoke({'input': 'What is 2026 + 1, and search what happened then
 ## 🧪 검증 / 중복
 - Verified (Russell-Norvig, Goodfellow DL, Sutton RL, OpenAI / DeepMind / Anthropic papers).
 - 신뢰도 A.
-- Related: [[Machine-Learning]] · [[Transformer_Architecture_and_LLM_Foundations|LLM]] · [[Deep-Learning]] · [[AGI]] · [[Bitter-Lesson]].
+- Related: [[Machine-Learning]] · [[Transformer_Architecture_and_LLM_Foundations|LLM]] · [[Deep Learning]] · [[AGI]] · [[Bitter-Lesson]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Artificial-Life.md b/10_Wiki/Topics/AI_and_ML/Artificial-Life.md
index bbef68ba..e8514efe 100644
--- a/10_Wiki/Topics/AI_and_ML/Artificial-Life.md
+++ b/10_Wiki/Topics/AI_and_ML/Artificial-Life.md
@@ -171,7 +171,7 @@ def map_elites(grid_size, generations=1000):
 
 ## 🔗 Graph
 - 부모: [[Complexity_Theory|Complexity-Theory]] · [[Emergence]] · [[Multi-agent-System|Multi-Agent-Systems]]
-- 변형: [[Cellular-Automata]] · [[Evolutionary Biology|Evolutionary-Computation]] · [[Swarm_Intelligence|Swarm-Intelligence]]
+- 변형: [[Cellular Automata]] · [[Evolutionary Biology|Evolutionary-Computation]] · [[Swarm_Intelligence|Swarm-Intelligence]]
 - 응용: [[NEAT]] · [[Procedural-Generation]]
 - Adjacent: [[Reinforcement-Learning]] · [[Self-Organization]] · [[Algorithmic-Biology]]
 
@@ -189,7 +189,7 @@ def map_elites(grid_size, generations=1000):
 ## 🧪 검증 / 중복
 - Verified (Langton, Reynolds, Sims, Stanley).
 - 신뢰도 B.
-- Related: [[Cellular-Automata]] · [[Evolutionary Biology|Evolutionary-Computation]] · [[Swarm_Intelligence|Swarm-Intelligence]].
+- Related: [[Cellular Automata]] · [[Evolutionary Biology|Evolutionary-Computation]] · [[Swarm_Intelligence|Swarm-Intelligence]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Arts.md b/10_Wiki/Topics/AI_and_ML/Arts.md
index 1f543d9c..5b5f1cd1 100644
--- a/10_Wiki/Topics/AI_and_ML/Arts.md
+++ b/10_Wiki/Topics/AI_and_ML/Arts.md
@@ -226,7 +226,7 @@ function ArtworkCard({ artwork }: { artwork: Artwork }) {
 - 부모: [[Aesthetic-Value]] · [[Creativity]]
 - 변형: [[Generative-Art]] · [[AI-Art]]
 - 응용: [[Stable-Diffusion]] · [[Midjourney]] · [[ControlNet]] · [[ComfyUI]]
-- Adjacent: [[Authenticity]] · [[C2PA]] · [[Copyright]] · [[AI 이미지 생성 (AI Image Generation)]]
+- Adjacent: [[Authenticity]] · [[C2PA]] · [[Copyright]] · [[AI Image Generation]]
 
 ## 🤖 LLM 활용
 **언제**: 매 generative art workflow. 매 brand asset. 매 game art pipeline. 매 hybrid creative.
@@ -243,7 +243,7 @@ function ArtworkCard({ artwork }: { artwork: Artwork }) {
 ## 🧪 검증 / 중복
 - Verified (C2PA spec, ongoing copyright cases, art community discourse).
 - 신뢰도 B (rapidly evolving).
-- Related: [[AI 이미지 생성 (AI Image Generation)]] · [[Authenticity]] · [[C2PA]] · [[Copyright]] · [[Glaze]].
+- Related: [[AI Image Generation]] · [[Authenticity]] · [[C2PA]] · [[Copyright]] · [[Glaze]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Assessment.md b/10_Wiki/Topics/AI_and_ML/Assessment.md
index 06a93630..05ad7ef9 100644
--- a/10_Wiki/Topics/AI_and_ML/Assessment.md
+++ b/10_Wiki/Topics/AI_and_ML/Assessment.md
@@ -247,7 +247,7 @@ def evaluate_model(model, eval_set):
 - 부모: [[Evaluation]]
 - 응용: [[Rubric]]
 - ML parallel: [[ML-Evaluation]] · [[Benchmarks]] · [[LLM-as-Judge]] · [[Bias-Correction-Algorithm]]
-- Adjacent: [[Algorithmic-Fairness]] · [[Validity]] · [[Reliability]]
+- Adjacent: [[Algorithmic Fairness]] · [[Validity]] · [[Reliability]]
 
 ## 🤖 LLM 활용
 **언제**: 매 educational system design. 매 ML evaluation suite. 매 performance review framework. 매 rubric 작성.
@@ -265,7 +265,7 @@ def evaluate_model(model, eval_set):
 ## 🧪 검증 / 중복
 - Verified (educational psychology + ML evaluation literature).
 - 신뢰도 B.
-- Related: [[Benchmarks]] · [[Bias-Correction-Algorithm]] · [[Algorithmic-Fairness]] · [[LLM-as-Judge]].
+- Related: [[Benchmarks]] · [[Bias-Correction-Algorithm]] · [[Algorithmic Fairness]] · [[LLM-as-Judge]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Atmospheric-Intelligence.md b/10_Wiki/Topics/AI_and_ML/Atmospheric-Intelligence.md
index d83d23fe..af303eec 100644
--- a/10_Wiki/Topics/AI_and_ML/Atmospheric-Intelligence.md
+++ b/10_Wiki/Topics/AI_and_ML/Atmospheric-Intelligence.md
@@ -185,8 +185,8 @@ def listen():
 **기본값**: 매 edge-first + 매 user control + 매 minimum data.
 
 ## 🔗 Graph
-- 부모: [[Ubiquitous-Computing]] · [[HCI]] · [[클라우드_인프라_및_IaC_운영_표준|IoT]]
-- 변형: [[Spatial-Computing]] · [[Zero-UI]]
+- 부모: [[Ubiquitous-Computing]] · [[HCI]] · [[클라우드 인프라 및 IaC 운영 표준|IoT]]
+- 변형: [[Spatial Computing]] · [[Zero-UI]]
 - 응용: [[Edge-AI]]
 - Adjacent: [[Privacy]] · [[Federated-Learning]] · [[Differential-Privacy]]
 
diff --git a/10_Wiki/Topics/AI_and_ML/Automated-Theorem-Proving.md b/10_Wiki/Topics/AI_and_ML/Automated-Theorem-Proving.md
index 63476a95..1dad8df8 100644
--- a/10_Wiki/Topics/AI_and_ML/Automated-Theorem-Proving.md
+++ b/10_Wiki/Topics/AI_and_ML/Automated-Theorem-Proving.md
@@ -194,7 +194,7 @@ while not gym.is_complete():
 **기본값**: 매 critical = Lean / Coq + Z3. 매 distributed = TLA+. 매 smart contract = K / Move.
 
 ## 🔗 Graph
-- 부모: [[Formal-Methods]] · [[Logic]] · [[Type-Theory]]
+- 부모: [[Formal Methods]] · [[Logic]] · [[Type Theory]]
 - 변형: [[Proof-Assistant]] · [[Model-Checking]]
 - 응용: [[CompCert]]
 - AI hybrid: [[Neural-Symbolic-Integration|Neuro-Symbolic-AI]]
diff --git a/10_Wiki/Topics/AI_and_ML/Automated_Mapping.md b/10_Wiki/Topics/AI_and_ML/Automated_Mapping.md
index 8992ec4c..506b9b2f 100644
--- a/10_Wiki/Topics/AI_and_ML/Automated_Mapping.md
+++ b/10_Wiki/Topics/AI_and_ML/Automated_Mapping.md
@@ -262,8 +262,8 @@ if (ret[0].Score > 0.7) {
 **기본값**: Visual SLAM = ORB-SLAM3. LiDAR = LIO-SAM. Photoreal = Gaussian Splatting.
 
 ## 🔗 Graph
-- 부모: [[Robotics]] · [[Computer Vision|Computer-Vision]] · [[Spatial-Computing]]
-- 응용: [[Autonomous-Vehicles]] · [[HD-Map]]
+- 부모: [[Robotics]] · [[Computer Vision|Computer-Vision]] · [[Spatial Computing]]
+- 응용: [[Autonomous Vehicles]] · [[HD-Map]]
 - Modern: [[NeRF]] · [[Gaussian-Splatting]]
 - Adjacent: [[Bundle-Adjustment]] · [[Loop-Closure]] · [[Bayesian-Brain-Hypothesis]]
 
@@ -282,7 +282,7 @@ if (ret[0].Score > 0.7) {
 ## 🧪 검증 / 중복
 - Verified (ORB-SLAM3, FAST-LIO, NeRF, 3DGS papers).
 - 신뢰도 A.
-- Related: [[Autonomous-Vehicles]] · [[Computer Vision|Computer-Vision]] · [[Robotics]] · [[NeRF]] · [[Gaussian-Splatting]].
+- Related: [[Autonomous Vehicles]] · [[Computer Vision|Computer-Vision]] · [[Robotics]] · [[NeRF]] · [[Gaussian-Splatting]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Autonomous Vehicles.md b/10_Wiki/Topics/AI_and_ML/Autonomous Vehicles.md
index e1f49dc5..f4cff8b2 100644
--- a/10_Wiki/Topics/AI_and_ML/Autonomous Vehicles.md	
+++ b/10_Wiki/Topics/AI_and_ML/Autonomous Vehicles.md	
@@ -237,7 +237,7 @@ def mpc_step(x_current, x_ref, horizon=10, dt=0.1):
 - 부모: [[Robotics]] · [[Computer Vision|Computer-Vision]]
 - 변형: [[Tesla-FSD]] · [[Waymo]]
 - 응용: [[SLAM]] · [[End-to-End-Driving]]
-- Adjacent: [[Reinforcement-Learning]] · [[AI-Safety]]
+- Adjacent: [[Reinforcement-Learning]] · [[AI Safety]]
 
 ## 🤖 LLM 활용
 **언제**: 매 AV system architecture review. 매 ADAS feature design. 매 simulation scenario. 매 sensor fusion debug.
@@ -254,7 +254,7 @@ def mpc_step(x_current, x_ref, horizon=10, dt=0.1):
 ## 🧪 검증 / 중복
 - Verified (SAE J3016, Waymo / Tesla papers, ISO 26262).
 - 신뢰도 A.
-- Related: [[Tesla-FSD]] · [[Waymo]] · [[SLAM]] · [[End-to-End-Driving]] · [[AI-Safety]].
+- Related: [[Tesla-FSD]] · [[Waymo]] · [[SLAM]] · [[End-to-End-Driving]] · [[AI Safety]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Axify.md b/10_Wiki/Topics/AI_and_ML/Axify.md
index daf58d1d..1fe19cfc 100644
--- a/10_Wiki/Topics/AI_and_ML/Axify.md
+++ b/10_Wiki/Topics/AI_and_ML/Axify.md
@@ -215,7 +215,7 @@ def is_real_improvement(metric_before, metric_after, vanity_metric_change):
 ## 🔗 Graph
 - 부모: [[DevOps]] · [[SRE]]
 - 변형: [[DORA-Metrics]] · [[Value-Stream-Mapping]] · [[Engineering-Metrics]]
-- Adjacent: [[CI-CD]] · [[Branching-Strategies]] · [[Code-Review]] · [[Goodharts-Law]]
+- Adjacent: [[CI CD]] · [[Git Branching Strategies]] · [[Code-Review]] · [[Goodharts-Law]]
 
 ## 🤖 LLM 활용
 **언제**: 매 engineering metrics 의 design. 매 AI tool 도입 의 ROI 의 measure. 매 productivity dashboard.
@@ -232,7 +232,7 @@ def is_real_improvement(metric_before, metric_after, vanity_metric_change):
 ## 🧪 검증 / 중복
 - Verified (DORA "Accelerate" book, Axify docs).
 - 신뢰도 B.
-- Related: [[Quality_Code_Review_Modern]] · [[Branching-Strategies]] · [[Goodharts-Law]] · [[CI-CD]].
+- Related: [[Quality_Code_Review_Modern]] · [[Git Branching Strategies]] · [[Goodharts-Law]] · [[CI CD]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Bag of Words (BoW).md b/10_Wiki/Topics/AI_and_ML/Bag of Words (BoW).md
index 3f0eb234..129b5794 100644
--- a/10_Wiki/Topics/AI_and_ML/Bag of Words (BoW).md	
+++ b/10_Wiki/Topics/AI_and_ML/Bag of Words (BoW).md	
@@ -177,7 +177,7 @@ for topic_idx, topic in enumerate(lda.components_):
 **기본값**: 매 baseline = TF-IDF + LinearSVC. 매 result 의 transformer 와 비교.
 
 ## 🔗 Graph
-- 부모: [[NLP]] · [[Information-Retrieval]]
+- 부모: [[NLP]] · [[Information Retrieval]]
 - 변형: [[TF-IDF]] · [[N-gram]] · [[BM25]]
 - 응용: [[LDA]]
 - 대체: [[Sentence-Transformers]] · [[Transformer_Architecture_and_LLM_Foundations|BERT]] · [[Embedding]]
diff --git a/10_Wiki/Topics/AI_and_ML/Bayesian Statistics.md b/10_Wiki/Topics/AI_and_ML/Bayesian Statistics.md
index 2ead5d97..954d115e 100644
--- a/10_Wiki/Topics/AI_and_ML/Bayesian Statistics.md	
+++ b/10_Wiki/Topics/AI_and_ML/Bayesian Statistics.md	
@@ -208,7 +208,7 @@ az.plot_ppc(az.from_pymc3(posterior_predictive=ppc, model=model))
 **기본값**: PyMC + NUTS 의 baseline. 매 scale 가 NumPyro / VI.
 
 ## 🔗 Graph
-- 부모: [[Statistics]] · [[Probability-Theory]]
+- 부모: [[Statistics]] · [[Probability Theory]]
 - 변형: [[MCMC]] · [[Variational-Inference]] · [[Bayesian-Network]]
 - 응용: [[Bayesian-Optimization]] · [[LDA]] · [[SLAM]]
 - Tool: [[PyMC]] · [[Stan]]
diff --git a/10_Wiki/Topics/AI_and_ML/Bayesian-Brain-Hypothesis.md b/10_Wiki/Topics/AI_and_ML/Bayesian-Brain-Hypothesis.md
index a546cddf..01c7374e 100644
--- a/10_Wiki/Topics/AI_and_ML/Bayesian-Brain-Hypothesis.md
+++ b/10_Wiki/Topics/AI_and_ML/Bayesian-Brain-Hypothesis.md
@@ -181,7 +181,7 @@ class WorldModel(nn.Module):
 **기본값**: 매 perception = predictive coding. 매 action = active inference (sparse reward) or RL (dense).
 
 ## 🔗 Graph
-- 부모: [[Computational-Neuroscience-RL|Computational-Neuroscience]] · [[Bayesian-Inference]]
+- 부모: [[Computational-Neuroscience-RL|Computational-Neuroscience]] · [[Bayesian Inference]]
 - 변형: [[Predictive-Coding]] · [[Free-Energy-Principle]] · [[Active-Inference]]
 - 응용: [[World-Model]] · [[VAE]]
 - 사상가: [[Karl-Friston]]
diff --git a/10_Wiki/Topics/AI_and_ML/Beliefs.md b/10_Wiki/Topics/AI_and_ML/Beliefs.md
index bffc789d..52630a60 100644
--- a/10_Wiki/Topics/AI_and_ML/Beliefs.md
+++ b/10_Wiki/Topics/AI_and_ML/Beliefs.md
@@ -197,7 +197,7 @@ def detect_confirmation_bias(query, results, user_belief):
 - 부모: [[Epistemology]]
 - 변형: [[Knowledge]] · [[Bayesian-Belief]] · [[Doxastic-Logic]]
 - 응용: [[POMDP]]
-- 비판: [[Confirmation-Bias]]
+- 비판: [[Confirmation Bias]]
 - Adjacent: [[Bayesian-Brain-Hypothesis]] · [[Multi-agent-System|Multi-Agent-Systems]]
 
 ## 🤖 LLM 활용
@@ -215,7 +215,7 @@ def detect_confirmation_bias(query, results, user_belief):
 ## 🧪 검증 / 중복
 - Verified (Plato JTB, Gettier, AGM postulates, Bayesian).
 - 신뢰도 B.
-- Related: [[Bayesian-Statistics]] · [[Bayesian-Brain-Hypothesis]] · [[Confirmation-Bias]] · [[POMDP]].
+- Related: [[Bayesian Statistics]] · [[Bayesian-Brain-Hypothesis]] · [[Confirmation Bias]] · [[POMDP]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Bias-Correction-Algorithm.md b/10_Wiki/Topics/AI_and_ML/Bias-Correction-Algorithm.md
index b8f91d19..ce82e821 100644
--- a/10_Wiki/Topics/AI_and_ML/Bias-Correction-Algorithm.md
+++ b/10_Wiki/Topics/AI_and_ML/Bias-Correction-Algorithm.md
@@ -185,7 +185,7 @@ print(f'{unfair_count}/{len(X_test)} 의 prediction 의 protected attr 의 depen
 **기본값**: 매 audit 먼저. 매 metric 의 stakeholder 의 align. 매 reductions (Fairlearn) 의 baseline.
 
 ## 🔗 Graph
-- 부모: [[Algorithmic-Fairness]]
+- 부모: [[Algorithmic Fairness]]
 - 변형: [[Demographic-Parity]] · [[Equalized-Odds]]
 - 응용: [[AIF360]]
 - Adjacent: [[EU-AI-Act]]
@@ -205,7 +205,7 @@ print(f'{unfair_count}/{len(X_test)} 의 prediction 의 protected attr 의 depen
 ## 🧪 검증 / 중복
 - Verified (AIF360 docs, Fairlearn, Kleinberg paper).
 - 신뢰도 A.
-- Related: [[Algorithmic-Fairness]] · [[Algorithmic-Bias]] · [[AI-Governance]] · [[EU-AI-Act]].
+- Related: [[Algorithmic Fairness]] · [[Algorithmic-Bias]] · [[AI-Governance]] · [[EU-AI-Act]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Biological-Intelligence.md b/10_Wiki/Topics/AI_and_ML/Biological-Intelligence.md
index 306e5740..6ecb541b 100644
--- a/10_Wiki/Topics/AI_and_ML/Biological-Intelligence.md
+++ b/10_Wiki/Topics/AI_and_ML/Biological-Intelligence.md
@@ -217,7 +217,7 @@ def active_inference(belief, action_space, world_model):
 
 ## 🔗 Graph
 - 부모: [[Evolution]]
-- 변형: [[Embodied-Cognition]] · [[Bayesian-Brain-Hypothesis]] · [[Free-Energy-Principle]]
+- 변형: [[Embodied Cognition]] · [[Bayesian-Brain-Hypothesis]] · [[Free-Energy-Principle]]
 - 응용: [[Neuromorphic-Computing]] · [[Brain-Computer_Interface_(BCI)]] · [[Bioenergetics]]
 - Adjacent: [[Reinforcement-Learning]] · [[Active-Inference]] · [[Predictive-Coding]]
 
@@ -235,7 +235,7 @@ def active_inference(belief, action_space, world_model):
 ## 🧪 검증 / 중복
 - Verified (Kandel neuroscience, Friston FEP, Lakoff embodied).
 - 신뢰도 B.
-- Related: [[Neuromorphic-Computing]] · [[Bayesian-Brain-Hypothesis]] · [[Bioenergetics]] · [[Brain-Computer_Interface_(BCI)]] · [[Embodied-Cognition]].
+- Related: [[Neuromorphic-Computing]] · [[Bayesian-Brain-Hypothesis]] · [[Bioenergetics]] · [[Brain-Computer_Interface_(BCI)]] · [[Embodied Cognition]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Boosting-Algorithms-XGBoost-LightGBM.md b/10_Wiki/Topics/AI_and_ML/Boosting-Algorithms-XGBoost-LightGBM.md
index d9063179..4042ec2c 100644
--- a/10_Wiki/Topics/AI_and_ML/Boosting-Algorithms-XGBoost-LightGBM.md
+++ b/10_Wiki/Topics/AI_and_ML/Boosting-Algorithms-XGBoost-LightGBM.md
@@ -258,10 +258,10 @@ CatBoostClassifier(task_type='GPU', devices='0')
 **기본값**: LightGBM 의 baseline. 매 categorical 가 CatBoost. 매 ensemble 의 stack.
 
 ## 🔗 Graph
-- 부모: [[Ensemble-Methods]] · [[Decision-Tree]] · [[데이터_사이언스_및_ML_엔지니어링|Gradient-Descent]]
+- 부모: [[Ensemble-Methods]] · [[Decision Tree]] · [[데이터 사이언스 및 ML 엔지니어링|Gradient-Descent]]
 - 변형: [[XGBoost]] · [[LightGBM]] · [[CatBoost]] · [[AdaBoost]] · [[GBM]]
 - 응용: [[Kaggle]] · [[SHAP]] · [[Stacking]]
-- Adjacent: [[Random-Forest]] · [[Bagging]] · [[Bias-vs-Variance]] · [[Optuna]]
+- Adjacent: [[Random-Forest]] · [[Bagging]] · [[Bias vs Variance Trade-off]] · [[Optuna]]
 
 ## 🤖 LLM 활용
 **언제**: 매 tabular task. 매 fraud detection. 매 Kaggle. 매 risk scoring. 매 conversion prediction.
@@ -279,7 +279,7 @@ CatBoostClassifier(task_type='GPU', devices='0')
 ## 🧪 검증 / 중복
 - Verified (Chen XGBoost, Ke LightGBM, Prokhorenkova CatBoost, Kaggle dominance).
 - 신뢰도 A.
-- Related: [[XGBoost]] · [[LightGBM]] · [[CatBoost]] · [[Random-Forest]] · [[Bias-vs-Variance]].
+- Related: [[XGBoost]] · [[LightGBM]] · [[CatBoost]] · [[Random-Forest]] · [[Bias vs Variance Trade-off]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Bottlenecks.md b/10_Wiki/Topics/AI_and_ML/Bottlenecks.md
index 975ac011..2f58c332 100644
--- a/10_Wiki/Topics/AI_and_ML/Bottlenecks.md
+++ b/10_Wiki/Topics/AI_and_ML/Bottlenecks.md
@@ -246,8 +246,8 @@ def critical_path(tasks):
 ## 🔗 Graph
 - 부모: [[System-Design]]
 - 변형: [[CPU-Bound]]
-- 응용: [[Theory-of-Constraints]] · [[Amdahls Law (암달의 법칙)]] · [[Critical-Path]]
-- Tool: [[Profiling]] · [[Flame-Graph]] · [[Distributed-Tracing]]
+- 응용: [[Theory-of-Constraints]] · [[Amdahl's Law]] · [[Critical-Path]]
+- Tool: [[Profiling]] · [[Flame-Graph]] · [[Distributed Tracing]]
 - Adjacent: [[Optimization]] · [[Scalability]] · [[DORA-Metrics]]
 
 ## 🤖 LLM 활용
@@ -265,7 +265,7 @@ def critical_path(tasks):
 ## 🧪 검증 / 중복
 - Verified (Goldratt TOC, Knuth premature optimization, Brendan Gregg Systems Performance).
 - 신뢰도 A.
-- Related: [[Amdahls Law (암달의 법칙)]] · [[Theory-of-Constraints]] · [[Profiling]] · [[Critical-Path]].
+- Related: [[Amdahl's Law]] · [[Theory-of-Constraints]] · [[Profiling]] · [[Critical-Path]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Bounded Contexts.md b/10_Wiki/Topics/AI_and_ML/Bounded Contexts.md
index 39c6a425..50c6e527 100644
--- a/10_Wiki/Topics/AI_and_ML/Bounded Contexts.md	
+++ b/10_Wiki/Topics/AI_and_ML/Bounded Contexts.md	
@@ -243,9 +243,9 @@ bounded_contexts:
 
 ## 🔗 Graph
 - 부모: [[Domain-Driven-Design]] · [[Software-Architecture]]
-- 변형: [[Ubiquitous-Language]] · [[Context-Map]] · [[Anti-Corruption-Layer]]
-- 응용: [[Microservices]] · [[Modular-Monolith]] · [[Event-Storming]] · [[Strangler-Fig]]
-- Adjacent: [[Aggregate-Root]] · [[Team-Topologies]] · [[Anaemic-Domain-Model]]
+- 변형: [[Ubiquitous Language]] · [[Context-Map]] · [[Anti-Corruption-Layer]]
+- 응용: [[Microservices]] · [[Modular Monolith]] · [[Event Storming]] · [[Strangler-Fig]]
+- Adjacent: [[Aggregate-Root]] · [[Team Topologies]] · [[Anaemic Domain Model]]
 
 ## 🤖 LLM 활용
 **언제**: 매 large system design. 매 microservice boundary. 매 legacy refactor planning. 매 team-structure align.
@@ -263,7 +263,7 @@ bounded_contexts:
 ## 🧪 검증 / 중복
 - Verified (Eric Evans DDD, Vaughn Vernon Implementing DDD, Sam Newman Microservices).
 - 신뢰도 A.
-- Related: [[Domain-Driven-Design]] · [[Microservices]] · [[Event-Storming]] · [[Conway-Law]] · [[Architecture-Styles]].
+- Related: [[Domain-Driven-Design]] · [[Microservices]] · [[Event Storming]] · [[Conway-Law]] · [[Software Architecture Styles]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Bounded_Rationality.md b/10_Wiki/Topics/AI_and_ML/Bounded_Rationality.md
index b60665a7..9528d2ef 100644
--- a/10_Wiki/Topics/AI_and_ML/Bounded_Rationality.md
+++ b/10_Wiki/Topics/AI_and_ML/Bounded_Rationality.md
@@ -225,7 +225,7 @@ def recognition_heuristic(a, b, recognized_set):
 **기본값**: 매 aspiration level + 매 anytime + 매 default fallback.
 
 ## 🔗 Graph
-- 부모: [[Decision-Theory]] · [[Behavioral-Economics]]
+- 부모: [[Decision Theory]] · [[Behavioral-Economics]]
 - 변형: [[Satisficing]] · [[Heuristic]] · [[Fast-and-Frugal]] · [[Ecological-Rationality]]
 - 사상가: [[Herbert-Simon]] · [[Tversky-Kahneman]]
 - 응용: [[MCTS]] · [[POMDP]] · [[Receding-Horizon-Control]]
@@ -246,7 +246,7 @@ def recognition_heuristic(a, b, recognized_set):
 ## 🧪 검증 / 중복
 - Verified (Simon Nobel lecture, Gigerenzer Simple Heuristics, Kahneman Thinking).
 - 신뢰도 A.
-- Related: [[Antifragility]] · [[Heuristic]] · [[MCTS]] · [[Decision-Theory]] · [[Beliefs]].
+- Related: [[Antifragility]] · [[Heuristic]] · [[MCTS]] · [[Decision Theory]] · [[Beliefs]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Bounding-Box-Regression.md b/10_Wiki/Topics/AI_and_ML/Bounding-Box-Regression.md
index 262c18a9..8fb2f464 100644
--- a/10_Wiki/Topics/AI_and_ML/Bounding-Box-Regression.md
+++ b/10_Wiki/Topics/AI_and_ML/Bounding-Box-Regression.md
@@ -252,7 +252,7 @@ print(f"mAP@50: {result['map_50']:.4f}")
 ## 🔗 Graph
 - 부모: [[Object-Detection]] · [[Computer Vision|Computer-Vision]]
 - 변형: [[YOLO]] · [[Faster-R-CNN]] · [[DETR]] · [[SAM]]
-- 응용: [[Autonomous-Vehicles]]
+- 응용: [[Autonomous Vehicles]]
 - Loss: [[Focal-Loss]]
 - Adjacent: [[Anchor-Box]] · [[NMS]] · [[mAP]]
 
@@ -271,7 +271,7 @@ print(f"mAP@50: {result['map_50']:.4f}")
 ## 🧪 검증 / 중복
 - Verified (Faster R-CNN, YOLO papers, DETR, SAM).
 - 신뢰도 A.
-- Related: [[YOLO]] · [[DETR]] · [[Object-Detection]] · [[SAM]] · [[Autonomous-Vehicles]].
+- Related: [[YOLO]] · [[DETR]] · [[Object-Detection]] · [[SAM]] · [[Autonomous Vehicles]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Brain-Derived Neurotrophic Factor (BDNF).md b/10_Wiki/Topics/AI_and_ML/Brain-Derived Neurotrophic Factor (BDNF).md
index 6f179a7f..a8033652 100644
--- a/10_Wiki/Topics/AI_and_ML/Brain-Derived Neurotrophic Factor (BDNF).md	
+++ b/10_Wiki/Topics/AI_and_ML/Brain-Derived Neurotrophic Factor (BDNF).md	
@@ -194,9 +194,9 @@ def burnout_risk(week_log):
 
 ## 🔗 Graph
 - 부모: [[Neurotrophin]]
-- 변형: [[Synaptic-Plasticity]] · [[Cognitive-Reserve]]
+- 변형: [[Synaptic-Plasticity]] · [[Cognitive Reserve]]
 - 응용: [[Productivity]]
-- Adjacent: [[Dopamine]] · [[Bioenergetics]] · [[Addiction-Neuroscience]]
+- Adjacent: [[Dopamine]] · [[Bioenergetics]] · [[Addiction Neuroscience]]
 
 ## 🤖 LLM 활용
 **언제**: 매 productivity routine design. 매 cognitive worker advice. 매 burnout prevention. 매 learning strategy.
@@ -213,7 +213,7 @@ def burnout_risk(week_log):
 ## 🧪 검증 / 중복
 - Verified (Cotman 2002, Vaynman exercise BDNF, Duman 2014 depression-BDNF).
 - 신뢰도 A.
-- Related: [[Bioenergetics]] · [[Addiction-Neuroscience]] · [[Bayesian-Brain-Hypothesis]] · [[Burnout]].
+- Related: [[Bioenergetics]] · [[Addiction Neuroscience]] · [[Bayesian-Brain-Hypothesis]] · [[Burnout]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Branching Strategies.md b/10_Wiki/Topics/AI_and_ML/Branching Strategies.md
index 2bc44b0d..d398fe9a 100644
--- a/10_Wiki/Topics/AI_and_ML/Branching Strategies.md	
+++ b/10_Wiki/Topics/AI_and_ML/Branching Strategies.md	
@@ -237,7 +237,7 @@ gh pr create --label urgent
 - 부모: [[Version-Control]] · [[DevOps]]
 - 변형: [[Trunk-Based-Development]] · [[GitHub-Flow]] · [[Git-Flow]] · [[Feature-Branch]]
 - 응용: [[Feature-Flag]] · [[Continuous-Deployment]] · [[Branch-by-Abstraction]] · [[Conventional-Commits]]
-- Adjacent: [[CI-CD]] · [[Code-Review]] · [[Semver]]
+- Adjacent: [[CI CD]] · [[Code-Review]] · [[Semver]]
 
 ## 🤖 LLM 활용
 **언제**: 매 team workflow 의 design. 매 Git strategy decision. 매 release process.
@@ -255,7 +255,7 @@ gh pr create --label urgent
 ## 🧪 검증 / 중복
 - Verified (Atlassian docs, Trunk-Based Development website, Driessen 의 Git Flow retraction).
 - 신뢰도 A.
-- Related: [[Trunk-Based-Development]] · [[Feature-Flag]] · [[CI-CD]] · [[Conventional-Commits]] · [[Quality_Code_Review_Modern]].
+- Related: [[Trunk-Based-Development]] · [[Feature-Flag]] · [[CI CD]] · [[Conventional-Commits]] · [[Quality_Code_Review_Modern]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Brand Consistency Maintenance.md b/10_Wiki/Topics/AI_and_ML/Brand Consistency Maintenance.md
index e86de3c0..063fd790 100644
--- a/10_Wiki/Topics/AI_and_ML/Brand Consistency Maintenance.md	
+++ b/10_Wiki/Topics/AI_and_ML/Brand Consistency Maintenance.md	
@@ -236,8 +236,8 @@ def brand_consistency_check(reference, generated, threshold=0.7):
 **기본값**: 매 sref / IP-Adapter 의 baseline. 매 character = LoRA. 매 face = InstantID.
 
 ## 🔗 Graph
-- 부모: [[AI 이미지 생성 (AI Image Generation)]] · [[Marketing]]
-- 변형: [[Style-Reference]] · [[Character-Reference]] · [[IP-Adapter]] · [[ControlNet]]
+- 부모: [[AI Image Generation]] · [[Marketing]]
+- 변형: [[Style Reference]] · [[Character Reference]] · [[IP-Adapter]] · [[ControlNet]]
 - 응용: [[LoRA]] · [[InstantID]] · [[PhotoMaker]] · [[Midjourney]]
 - Adjacent: [[CFG 스케일(Classifier-Free Guidance Scale)]] · [[Stable-Diffusion]] · [[Flux]] · [[Authenticity]] · [[Arts]]
 
@@ -256,7 +256,7 @@ def brand_consistency_check(reference, generated, threshold=0.7):
 ## 🧪 검증 / 중복
 - Verified (Midjourney docs, IP-Adapter paper, InstantID).
 - 신뢰도 B.
-- Related: [[CFG 스케일(Classifier-Free Guidance Scale)]] · [[AI 이미지 생성 (AI Image Generation)]] · [[LoRA]] · [[Authenticity]] · [[Stable-Diffusion]].
+- Related: [[CFG 스케일(Classifier-Free Guidance Scale)]] · [[AI Image Generation]] · [[LoRA]] · [[Authenticity]] · [[Stable-Diffusion]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/C4_Model.md b/10_Wiki/Topics/AI_and_ML/C4_Model.md
index 2a32121c..f464e930 100644
--- a/10_Wiki/Topics/AI_and_ML/C4_Model.md
+++ b/10_Wiki/Topics/AI_and_ML/C4_Model.md
@@ -241,7 +241,7 @@ await icepanel.upsertContainer({
 - 부모: [[Architecture-Documentation]] · [[System-Design]]
 - 변형: [[Living-Documentation]]
 - 응용: [[Structurizr]] · [[PlantUML]] · [[Mermaid]] · [[IcePanel]]
-- Adjacent: [[ADR]] · [[arc42]] · [[Architecture-Styles]] · [[Bounded-Contexts]] · [[Domain-Driven-Design]]
+- Adjacent: [[ADR]] · [[arc42]] · [[Software Architecture Styles]] · [[Bounded Contexts (DDD)]] · [[Domain-Driven-Design]]
 
 ## 🤖 LLM 활용
 **언제**: 매 architecture documentation. 매 onboarding. 매 review. 매 refactor planning.
@@ -259,7 +259,7 @@ await icepanel.upsertContainer({
 ## 🧪 검증 / 중복
 - Verified (Simon Brown's c4model.com, Structurizr docs).
 - 신뢰도 A.
-- Related: [[Architecture-Styles]] · [[ADR]] · [[Bounded-Contexts]] · [[Architecture-as-Code]].
+- Related: [[Software Architecture Styles]] · [[ADR]] · [[Bounded Contexts (DDD)]] · [[Architecture-as-Code]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/CAP-Theorem.md b/10_Wiki/Topics/AI_and_ML/CAP-Theorem.md
index a777cd18..00f31e7a 100644
--- a/10_Wiki/Topics/AI_and_ML/CAP-Theorem.md
+++ b/10_Wiki/Topics/AI_and_ML/CAP-Theorem.md
@@ -269,7 +269,7 @@ class HybridStore:
 - 변형: [[PACELC]] · [[BASE]] · [[ACID]]
 - 응용: [[Raft]] · [[Paxos]] · [[CRDT]] · [[Quorum]] · [[Spanner]]
 - DB: [[Cassandra]] · [[Postgres]] · [[Etcd]]
-- Adjacent: [[Availability-and-Persistence]] · [[Eventual-Consistency]] · [[Linearizability]]
+- Adjacent: [[Availability-and-Persistence]] · [[Eventual Consistency]] · [[Linearizability]]
 
 ## 🤖 LLM 활용
 **언제**: 매 distributed system design. 매 database choice. 매 multi-region architecture. 매 consistency model decision.
@@ -287,7 +287,7 @@ class HybridStore:
 ## 🧪 검증 / 중복
 - Verified (Brewer 2000, Gilbert-Lynch 2002 proof, Abadi PACELC).
 - 신뢰도 A.
-- Related: [[Availability-and-Persistence]] · [[Database-Theory]] · [[Raft]] · [[CRDT]] · [[Architecture-Styles]].
+- Related: [[Availability-and-Persistence]] · [[Database-Theory]] · [[Raft]] · [[CRDT]] · [[Software Architecture Styles]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/CFG 스케일(Classifier-Free Guidance Scale).md b/10_Wiki/Topics/AI_and_ML/CFG 스케일(Classifier-Free Guidance Scale).md
index 0b300fa7..6c2a724f 100644
--- a/10_Wiki/Topics/AI_and_ML/CFG 스케일(Classifier-Free Guidance Scale).md	
+++ b/10_Wiki/Topics/AI_and_ML/CFG 스케일(Classifier-Free Guidance Scale).md	
@@ -210,7 +210,7 @@ image = pipe(prompt=prompt, negative_prompt=neg, guidance_scale=7).images[0]
 ## 🔗 Graph
 - 부모: [[Diffusion-Models]] · [[AI 이미지 생성 (AI Image Generation)|Image-Generation]]
 - 응용: [[Stable-Diffusion]] · [[Flux]] · [[ComfyUI]]
-- Adjacent: [[Negative-Prompt]]
+- Adjacent: [[Negative Prompt]]
 
 ## 🤖 LLM 활용
 **언제**: 매 image generation tuning. 매 SD / Flux pipeline. 매 quality vs prompt-fidelity trade-off.
@@ -226,7 +226,7 @@ image = pipe(prompt=prompt, negative_prompt=neg, guidance_scale=7).images[0]
 ## 🧪 검증 / 중복
 - Verified (Ho & Salimans CFG paper, Flux docs, Diffusers).
 - 신뢰도 A.
-- Related: [[Stable-Diffusion]] · [[Flux]] · [[Negative-Prompt]] · [[DPM-Solver]] · [[AI 이미지 생성 (AI Image Generation)]].
+- Related: [[Stable-Diffusion]] · [[Flux]] · [[Negative Prompt]] · [[DPM-Solver]] · [[AI Image Generation]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/CFG_Scale.md b/10_Wiki/Topics/AI_and_ML/CFG_Scale.md
index 0227204d..9b7dd500 100644
--- a/10_Wiki/Topics/AI_and_ML/CFG_Scale.md
+++ b/10_Wiki/Topics/AI_and_ML/CFG_Scale.md
@@ -27,7 +27,7 @@ github_commit: pending
 
 ## 🔗 Graph
 - 부모: [[CFG 스케일(Classifier-Free Guidance Scale)]] (canonical)
-- Adjacent: [[Stable-Diffusion]] · [[Flux]] · [[Negative-Prompt]] · [[Diffusion-Models]]
+- Adjacent: [[Stable-Diffusion]] · [[Flux]] · [[Negative Prompt]] · [[Diffusion-Models]]
 
 ## 🕓 변경 이력
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/CI_CD 파이프라인 및 IDE 통합 보안.md b/10_Wiki/Topics/AI_and_ML/CI_CD 파이프라인 및 IDE 통합 보안.md
index 3bcfa6d7..e050511a 100644
--- a/10_Wiki/Topics/AI_and_ML/CI_CD 파이프라인 및 IDE 통합 보안.md	
+++ b/10_Wiki/Topics/AI_and_ML/CI_CD 파이프라인 및 IDE 통합 보안.md	
@@ -290,10 +290,10 @@ def prioritize_findings(findings):
 **기본값**: 매 4 layer 의 모두 + 매 quality gate + 매 SLSA Level 2+.
 
 ## 🔗 Graph
-- 부모: [[CI_CD 파이프라인 및 IDE 통합 보안|DevSecOps]] · [[CI-CD]]
+- 부모: [[CI/CD Pipeline & IDE Security Integration|DevSecOps]] · [[CI CD]]
 - 변형: [[Shift-Left-Security]] · [[Quality-Gate]] · [[SLSA]] · [[SBOM]]
 - 응용: [[SonarQube]] · [[Semgrep]] · [[CodeQL]] · [[Trivy]] · [[Cosign]]
-- Adjacent: [[AI 코드 리뷰 및 보안 취약점 점검(DevSecOps)]] · [[OWASP-Top-10]] · [[Branching-Strategies]] · [[Quality_Code_Review_Modern]]
+- Adjacent: [[AI 코드 리뷰 및 보안 취약점 점검(DevSecOps)]] · [[OWASP Top 10]] · [[Git Branching Strategies]] · [[Quality_Code_Review_Modern]]
 
 ## 🤖 LLM 활용
 **언제**: 매 DevSecOps pipeline design. 매 security policy. 매 compliance audit. 매 vulnerability triage.
@@ -311,7 +311,7 @@ def prioritize_findings(findings):
 ## 🧪 검증 / 중복
 - Verified (NIST SSDF, OWASP, SLSA spec).
 - 신뢰도 A.
-- Related: [[AI 코드 리뷰 및 보안 취약점 점검(DevSecOps)]] · [[Software-Supply-Chain-Security]] · [[OWASP-Top-10]] · [[Branching-Strategies]].
+- Related: [[AI 코드 리뷰 및 보안 취약점 점검(DevSecOps)]] · [[Software-Supply-Chain-Security]] · [[OWASP Top 10]] · [[Git Branching Strategies]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/CPTED.md b/10_Wiki/Topics/AI_and_ML/CPTED.md
index 7ce9eb63..374027a1 100644
--- a/10_Wiki/Topics/AI_and_ML/CPTED.md
+++ b/10_Wiki/Topics/AI_and_ML/CPTED.md
@@ -217,7 +217,7 @@ def predict_with_bias_check(features, model, bias_audit):
 - 부모: [[Security]]
 - 변형: [[Defensible-Space]] · [[Broken-Windows]]
 - 사상가: [[Oscar-Newman]]
-- Adjacent: [[Atmospheric-Intelligence]] · [[Algorithmic-Fairness]]
+- Adjacent: [[Atmospheric-Intelligence]] · [[Algorithmic Fairness]]
 
 ## 🤖 LLM 활용
 **언제**: 매 urban planning. 매 building design. 매 smart city. 매 community safety initiative.
@@ -234,7 +234,7 @@ def predict_with_bias_check(features, model, bias_audit):
 ## 🧪 검증 / 중복
 - Verified (Jacobs 1961, Newman 1972, Wilson-Kelling 1982).
 - 신뢰도 A.
-- Related: [[Smart-City]] · [[Atmospheric-Intelligence]] · [[Surveillance-Capitalism]] · [[Algorithmic-Fairness]].
+- Related: [[Smart-City]] · [[Atmospheric-Intelligence]] · [[Surveillance-Capitalism]] · [[Algorithmic Fairness]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/CSS Animations.md b/10_Wiki/Topics/AI_and_ML/CSS Animations.md
index 6530cf8f..7c7dee55 100644
--- a/10_Wiki/Topics/AI_and_ML/CSS Animations.md	
+++ b/10_Wiki/Topics/AI_and_ML/CSS Animations.md	
@@ -304,7 +304,7 @@ import { motion, AnimatePresence } from 'framer-motion';
 - 부모: [[Web-Performance]] · [[Frontend]]
 - 변형: [[Transform]] · [[Will-Change]] · [[View-Transitions]]
 - 응용: [[Web-Animations-API]] · [[Framer-Motion]] · [[GSAP]]
-- Adjacent: [[Reflow-Repaint]] · [[GPU-Acceleration]] · [[Accessibility (A11y)|Accessibility]] · [[Baseline-Project]]
+- Adjacent: [[Reflow   Repaint]] · [[GPU-Acceleration]] · [[Accessibility (A11y)|Accessibility]] · [[Baseline (Web Platform Features)]]
 
 ## 🤖 LLM 활용
 **언제**: 매 frontend animation. 매 micro-interaction. 매 UX polish. 매 accessibility audit.
@@ -322,7 +322,7 @@ import { motion, AnimatePresence } from 'framer-motion';
 ## 🧪 검증 / 중복
 - Verified (web.dev animation, MDN, Paul Lewis 의 Aerotwist).
 - 신뢰도 A.
-- Related: [[Web-Performance]] · [[Accessibility (A11y)|Accessibility]] · [[Baseline-Project]] · [[FLIP-Technique]].
+- Related: [[Web-Performance]] · [[Accessibility (A11y)|Accessibility]] · [[Baseline (Web Platform Features)]] · [[FLIP-Technique]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/CSS 애니메이션 최적화(Optimizing CSS Animations).md b/10_Wiki/Topics/AI_and_ML/CSS 애니메이션 최적화(Optimizing CSS Animations).md
index 17afd91c..6178a430 100644
--- a/10_Wiki/Topics/AI_and_ML/CSS 애니메이션 최적화(Optimizing CSS Animations).md	
+++ b/10_Wiki/Topics/AI_and_ML/CSS 애니메이션 최적화(Optimizing CSS Animations).md	
@@ -28,7 +28,7 @@ github_commit: pending
 
 ## 🔗 Graph
 - 부모: [[CSS Animations]] (canonical)
-- Adjacent: [[Web-Performance]] · [[Accessibility]] · [[Baseline-Project]] · [[GPU-Acceleration]]
+- Adjacent: [[Web-Performance]] · [[Accessibility]] · [[Baseline (Web Platform Features)]] · [[GPU-Acceleration]]
 
 ## 🕓 변경 이력
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/CV_Synthesis.md b/10_Wiki/Topics/AI_and_ML/CV_Synthesis.md
index 53e7825c..4dd249bc 100644
--- a/10_Wiki/Topics/AI_and_ML/CV_Synthesis.md
+++ b/10_Wiki/Topics/AI_and_ML/CV_Synthesis.md
@@ -264,7 +264,7 @@ def adaptive_mix(epoch, real_data, synthetic_data):
 ## 🔗 Graph
 - 부모: [[Computer Vision|Computer-Vision]] · [[Synthetic-Data]] · [[Simulation]]
 - 변형: [[Sim2Real]] · [[Domain-Adaptation]] · [[CycleGAN]]
-- 응용: [[Autonomous-Vehicles]] · [[Robotics]] · [[Unity-Perception]]
+- 응용: [[Autonomous Vehicles]] · [[Robotics]] · [[Unity-Perception]]
 - Adjacent: [[Diffusion-Models]] · [[ControlNet]] · [[Model-Collapse]] · [[Algorithmic-Biology]]
 
 ## 🤖 LLM 활용
@@ -281,7 +281,7 @@ def adaptive_mix(epoch, real_data, synthetic_data):
 ## 🧪 검증 / 중복
 - Verified (Tobin domain randomization 2017, Tremblay 2018, NVIDIA Omniverse).
 - 신뢰도 A.
-- Related: [[Autonomous-Vehicles]] · [[Diffusion-Models]] · [[Robotics]] · [[Algorithmic-Biology]] · [[Model-Collapse]].
+- Related: [[Autonomous Vehicles]] · [[Diffusion-Models]] · [[Robotics]] · [[Algorithmic-Biology]] · [[Model-Collapse]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Case Interviews.md b/10_Wiki/Topics/AI_and_ML/Case Interviews.md
index b75ec04d..ad5cc7bb 100644
--- a/10_Wiki/Topics/AI_and_ML/Case Interviews.md	
+++ b/10_Wiki/Topics/AI_and_ML/Case Interviews.md	
@@ -245,7 +245,7 @@ Transcript:
 
 ## 🔗 Graph
 - 부모: [[Problem_Solving|Problem-Solving]]
-- 변형: [[MECE]] · [[Pyramid-Principle]] · [[Hypothesis-Driven]]
+- 변형: [[MECE]] · [[Pyramid Principle]] · [[Hypothesis-Driven]]
 - Adjacent: [[Articulateness]] · [[Be-Detailed]] · [[Beliefs]] · [[Bounded_Rationality|Bounded-Rationality]]
 
 ## 🤖 LLM 활용
@@ -264,7 +264,7 @@ Transcript:
 ## 🧪 검증 / 중복
 - Verified (Cosentino "Case in Point", Cheng's "Case Interview Secrets", MBB own materials).
 - 신뢰도 B.
-- Related: [[Articulateness]] · [[Be-Detailed]] · [[Bounded_Rationality|Bounded-Rationality]] · [[Pyramid-Principle]].
+- Related: [[Articulateness]] · [[Be-Detailed]] · [[Bounded_Rationality|Bounded-Rationality]] · [[Pyramid Principle]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Case-Study-Allbirds-PWA-Redesign.md b/10_Wiki/Topics/AI_and_ML/Case-Study-Allbirds-PWA-Redesign.md
index 8425aadd..6a3a37ca 100644
--- a/10_Wiki/Topics/AI_and_ML/Case-Study-Allbirds-PWA-Redesign.md
+++ b/10_Wiki/Topics/AI_and_ML/Case-Study-Allbirds-PWA-Redesign.md
@@ -234,7 +234,7 @@ ci:
 - 부모: [[E-commerce]] · [[Web-Performance]]
 - 변형: [[PWA]] · [[Service-Worker]] · [[CRO]]
 - 응용: [[Workbox]] · [[Web-Vitals]] · [[Lighthouse]]
-- Adjacent: [[CSS Animations]] · [[Baseline-Project]] · [[Authenticity]] · [[Brand Consistency Maintenance]]
+- Adjacent: [[CSS Animations]] · [[Baseline (Web Platform Features)]] · [[Authenticity]] · [[Brand Consistency Maintenance]]
 
 ## 🤖 LLM 활용
 **언제**: 매 e-commerce redesign. 매 PWA migration. 매 conversion strategy. 매 brand-value integration.
@@ -250,7 +250,7 @@ ci:
 ## 🧪 검증 / 중복
 - Verified (Allbirds public case study, web.dev PWA pattern).
 - 신뢰도 B.
-- Related: [[CSS Animations]] · [[Baseline-Project]] · [[Brand Consistency Maintenance]] · [[Authenticity]] · [[Web-Vitals]].
+- Related: [[CSS Animations]] · [[Baseline (Web Platform Features)]] · [[Brand Consistency Maintenance]] · [[Authenticity]] · [[Web-Vitals]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Catastrophic-Forgetting.md b/10_Wiki/Topics/AI_and_ML/Catastrophic-Forgetting.md
index c193b662..eb7ed9bb 100644
--- a/10_Wiki/Topics/AI_and_ML/Catastrophic-Forgetting.md
+++ b/10_Wiki/Topics/AI_and_ML/Catastrophic-Forgetting.md
@@ -285,7 +285,7 @@ def detect_drift(base_model, finetuned_model, eval_set):
 - 부모: [[Continual-Learning]]
 - 변형: [[EWC]] · [[Replay-Buffer]]
 - 응용: [[LoRA]] · [[Adapter]] · [[Mixture-of-Experts]]
-- Adjacent: [[Bayesian-Brain-Hypothesis]] · [[Biological-Intelligence]] · [[Bias-vs-Variance]] · [[Auto-Encoding]]
+- Adjacent: [[Bayesian-Brain-Hypothesis]] · [[Biological-Intelligence]] · [[Bias vs Variance Trade-off]] · [[Auto-Encoding]]
 
 ## 🤖 LLM 활용
 **언제**: 매 sequential task. 매 LLM domain adapt. 매 streaming data. 매 lifelong agent.
diff --git a/10_Wiki/Topics/AI_and_ML/Causal-Inference.md b/10_Wiki/Topics/AI_and_ML/Causal-Inference.md
index c1e993a3..65cb2fcf 100644
--- a/10_Wiki/Topics/AI_and_ML/Causal-Inference.md
+++ b/10_Wiki/Topics/AI_and_ML/Causal-Inference.md
@@ -277,9 +277,9 @@ def detect_simpson(df, x_col, y_col, group_col):
 **기본값**: 매 RCT first. 매 observational 가 DoWhy + sensitivity refute.
 
 ## 🔗 Graph
-- 부모: [[Statistics]] · [[Decision-Theory]]
+- 부모: [[Statistics]] · [[Decision Theory]]
 - 변형: [[DAG]] · [[Do-Calculus]] · [[Counterfactual]]
-- Adjacent: [[Bayesian-Statistics]] · [[Anthropic-Principle]] · [[Beliefs]] · [[Algorithmic-Fairness]]
+- Adjacent: [[Bayesian Statistics]] · [[Anthropic-Principle]] · [[Beliefs]] · [[Algorithmic Fairness]]
 
 ## 🤖 LLM 활용
 **언제**: 매 policy decision. 매 marketing attribution. 매 medical treatment. 매 root cause analysis. 매 fairness counterfactual.
@@ -297,7 +297,7 @@ def detect_simpson(df, x_col, y_col, group_col):
 ## 🧪 검증 / 중복
 - Verified (Pearl "Book of Why", Hernán "Causal Inference: What If", DoWhy paper).
 - 신뢰도 A.
-- Related: [[Bayesian-Statistics]] · [[Algorithmic-Fairness]] · [[Bias-Correction-Algorithm]] · [[A-B-Testing]] · [[Anthropic-Principle]].
+- Related: [[Bayesian Statistics]] · [[Algorithmic Fairness]] · [[Bias-Correction-Algorithm]] · [[A/B Testing]] · [[Anthropic-Principle]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/ChatGPT 통합 (ChatGPT Integration).md b/10_Wiki/Topics/AI_and_ML/ChatGPT 통합 (ChatGPT Integration).md
index 152281e4..14d0de8a 100644
--- a/10_Wiki/Topics/AI_and_ML/ChatGPT 통합 (ChatGPT Integration).md	
+++ b/10_Wiki/Topics/AI_and_ML/ChatGPT 통합 (ChatGPT Integration).md	
@@ -213,7 +213,7 @@ for p in prompts:
 **기본값**: ChatGPT 의 explore. 매 production 의 direct API + 매 verbatim prompt.
 
 ## 🔗 Graph
-- 부모: [[Prompt_Engineering|Prompt-Engineering]] · [[AI 이미지 생성 (AI Image Generation)]]
+- 부모: [[Prompt_Engineering|Prompt-Engineering]] · [[AI Image Generation]]
 - 변형: [[DALL-E]]
 - 응용: [[ChatGPT_Emoticon_Prompt_Engineering]] · [[Brand Consistency Maintenance]]
 - Adjacent: [[CFG 스케일(Classifier-Free Guidance Scale)]] · [[AI 이미지 생성 및 편집 워크플로우 (AI Image Generation & Editing Workflow)]] · [[Be-Detailed]]
diff --git a/10_Wiki/Topics/AI_and_ML/ChatGPT_Emoticon_Prompt_Engineering.md b/10_Wiki/Topics/AI_and_ML/ChatGPT_Emoticon_Prompt_Engineering.md
index c526c41c..3641d641 100644
--- a/10_Wiki/Topics/AI_and_ML/ChatGPT_Emoticon_Prompt_Engineering.md
+++ b/10_Wiki/Topics/AI_and_ML/ChatGPT_Emoticon_Prompt_Engineering.md
@@ -221,7 +221,7 @@ def split_grid(grid_image, rows, cols):
 **기본값**: 매 ChatGPT (DALL-E 3) 의 entry. 매 advanced = Flux + IP-Adapter.
 
 ## 🔗 Graph
-- 부모: [[Prompt_Engineering|Prompt-Engineering]] · [[AI 이미지 생성 (AI Image Generation)]]
+- 부모: [[Prompt_Engineering|Prompt-Engineering]] · [[AI Image Generation]]
 - 변형: [[Brand Consistency Maintenance]] · [[Brand Consistency Maintenance|Character Consistency]] · [[Sticker-Generation]]
 - 응용: [[DALL-E]] · [[Midjourney]] · [[Flux]] · [[InstantID]] · [[IP-Adapter]]
 - Adjacent: [[CFG 스케일(Classifier-Free Guidance Scale)]] · [[AI 이미지 생성 및 편집 워크플로우 (AI Image Generation & Editing Workflow)]] · [[Authenticity]]
@@ -241,7 +241,7 @@ def split_grid(grid_image, rows, cols):
 ## 🧪 검증 / 중복
 - Verified (blog samples + Midjourney / DALL-E community).
 - 신뢰도 B.
-- Related: [[Brand Consistency Maintenance]] · [[Brand Consistency Maintenance|Character Consistency]] · [[AI 이미지 생성 (AI Image Generation)]] · [[Be-Detailed]] · [[Articulateness]].
+- Related: [[Brand Consistency Maintenance]] · [[Brand Consistency Maintenance|Character Consistency]] · [[AI Image Generation]] · [[Be-Detailed]] · [[Articulateness]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Chrome DevTools 메모리 프로파일링.md b/10_Wiki/Topics/AI_and_ML/Chrome DevTools 메모리 프로파일링.md
index f885fb94..87d82c27 100644
--- a/10_Wiki/Topics/AI_and_ML/Chrome DevTools 메모리 프로파일링.md	
+++ b/10_Wiki/Topics/AI_and_ML/Chrome DevTools 메모리 프로파일링.md	
@@ -289,8 +289,8 @@ async function detectLeak() {
 **기본값**: 매 heap snapshot 3-shot + Comparison + Retainer trace.
 
 ## 🔗 Graph
-- 부모: [[Web-Performance]] · [[Browser]] · [[Memory-Management]]
-- 변형: [[Heap-Snapshot]] · [[Allocation-Timeline]] · [[Garbage-Collection]] · [[V8]]
+- 부모: [[Web-Performance]] · [[Browser]] · [[Memory Management]]
+- 변형: [[Heap Snapshot]] · [[Allocation Timeline]] · [[Garbage Collection]] · [[V8]]
 - 응용: [[Memory-Leak-Detection]] · [[WeakRef]] · [[Lighthouse]]
 - Adjacent: [[Bottlenecks]] · [[CSS Animations]] · [[Frontend-Performance]]
 
@@ -309,7 +309,7 @@ async function detectLeak() {
 ## 🧪 검증 / 중복
 - Verified (Chrome DevTools docs, V8 blog).
 - 신뢰도 A.
-- Related: [[Web-Performance]] · [[Bottlenecks]] · [[CSS Animations]] · [[Baseline-Project]].
+- Related: [[Web-Performance]] · [[Bottlenecks]] · [[CSS Animations]] · [[Baseline (Web Platform Features)]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Chronic-Pain-Management-Protocols.md b/10_Wiki/Topics/AI_and_ML/Chronic-Pain-Management-Protocols.md
index 3f611007..b5dad52a 100644
--- a/10_Wiki/Topics/AI_and_ML/Chronic-Pain-Management-Protocols.md
+++ b/10_Wiki/Topics/AI_and_ML/Chronic-Pain-Management-Protocols.md
@@ -268,7 +268,7 @@ milestones:
 ## 🔗 Graph
 - 변형: [[Central-Sensitization]] · [[Biopsychosocial]] · [[Pain-Neuroscience-Education]] · [[GMI]]
 - 응용: [[CBT]] · [[Yoga]]
-- Adjacent: [[Bioenergetics]] · [[Brain-Derived Neurotrophic Factor (BDNF)]] · [[Addiction-Neuroscience]] (opioid risk)
+- Adjacent: [[Bioenergetics]] · [[Brain-Derived Neurotrophic Factor (BDNF)]] · [[Addiction Neuroscience]] (opioid risk)
 
 ## 🤖 LLM 활용
 **언제**: 매 productivity wellness routine. 매 cognitive worker burnout. 매 multidisciplinary protocol design.
@@ -286,7 +286,7 @@ milestones:
 ## 🧪 검증 / 중복
 - Verified (Moseley PNE, Engel biopsychosocial 1977, CDC opioid guideline 2022).
 - 신뢰도 B.
-- Related: [[Bioenergetics]] · [[Brain-Derived Neurotrophic Factor (BDNF)]] · [[Addiction-Neuroscience]] · [[Bayesian-Brain-Hypothesis]].
+- Related: [[Bioenergetics]] · [[Brain-Derived Neurotrophic Factor (BDNF)]] · [[Addiction Neuroscience]] · [[Bayesian-Brain-Hypothesis]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Circuit Discovery.md b/10_Wiki/Topics/AI_and_ML/Circuit Discovery.md
index 8a317ae6..884610bc 100644
--- a/10_Wiki/Topics/AI_and_ML/Circuit Discovery.md	
+++ b/10_Wiki/Topics/AI_and_ML/Circuit Discovery.md	
@@ -269,7 +269,7 @@ def find_max_activating(sae, feature_idx, dataset, top_k=10):
 **기본값**: TransformerLens + activation patching 의 baseline. 매 large model = SAE.
 
 ## 🔗 Graph
-- 부모: [[Interpretability]] · [[AI-Safety]] · [[Mechanistic-Interpretability]]
+- 부모: [[Interpretability]] · [[AI Safety]] · [[Mechanistic-Interpretability]]
 - 변형: [[Activation-Patching]] · [[Path-Patching]] · [[ACDC]]
 - 응용: [[Steering]] · [[Induction-Head]]
 - Adjacent: [[Anthropic]] · [[AI_Safety_and_Alignment|AI-Alignment]]
@@ -289,7 +289,7 @@ def find_max_activating(sae, feature_idx, dataset, top_k=10):
 ## 🧪 검증 / 중복
 - Verified (Anthropic transformer-circuits.pub, Olsson induction heads, Wang IOI, ACDC paper).
 - 신뢰도 A.
-- Related: [[AI_Safety_and_Alignment|AI-Alignment]] · [[AI-Safety]] · [[Anthropic-Principle]] · [[Sparse-Autoencoder]].
+- Related: [[AI_Safety_and_Alignment|AI-Alignment]] · [[AI Safety]] · [[Anthropic-Principle]] · [[Sparse-Autoencoder]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Clean-Code-Principles.md b/10_Wiki/Topics/AI_and_ML/Clean-Code-Principles.md
index a3f7b08c..d660cce1 100644
--- a/10_Wiki/Topics/AI_and_ML/Clean-Code-Principles.md
+++ b/10_Wiki/Topics/AI_and_ML/Clean-Code-Principles.md
@@ -237,8 +237,8 @@ def pr_smell_check(diff):
 - 부모: [[Refactoring_Best_Practices|Refactoring]]
 - 변형: [[SOLID]] · [[DRY]] · [[KISS]] · [[YAGNI]]
 - 응용: [[Code_Smells]] · [[Refactoring_Best_Practices|Refactoring]] · [[Clean-Architecture]]
-- 비판: [[Anaemic-Domain-Model]]
-- Adjacent: [[Architecture-Anti-Patterns]] · [[Quality_Code_Review_Modern]] · [[Architecture-Styles]]
+- 비판: [[Anaemic Domain Model]]
+- Adjacent: [[Architecture Anti-patterns]] · [[Quality_Code_Review_Modern]] · [[Software Architecture Styles]]
 
 ## 🤖 LLM 활용
 **언제**: 매 review. 매 refactor. 매 onboarding. 매 AI-generated code 의 quality check.
@@ -255,7 +255,7 @@ def pr_smell_check(diff):
 ## 🧪 검증 / 중복
 - Verified (Robert Martin "Clean Code", Fowler "Refactoring", Beck "Implementation Patterns").
 - 신뢰도 A (with caveats — 매 not gospel).
-- Related: [[Code_Smells]] · [[SOLID]] · [[Architecture-Styles]] · [[Refactoring_Best_Practices|Refactoring]].
+- Related: [[Code_Smells]] · [[SOLID]] · [[Software Architecture Styles]] · [[Refactoring_Best_Practices|Refactoring]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Client-Server Architecture Pattern.md b/10_Wiki/Topics/AI_and_ML/Client-Server Architecture Pattern.md
index 9f92544f..76688e89 100644
--- a/10_Wiki/Topics/AI_and_ML/Client-Server Architecture Pattern.md	
+++ b/10_Wiki/Topics/AI_and_ML/Client-Server Architecture Pattern.md	
@@ -289,9 +289,9 @@ app.get('/health', (req, res) => {
 **기본값**: REST + 3-tier. 매 internal = gRPC. 매 real-time = WebSocket.
 
 ## 🔗 Graph
-- 부모: [[Architecture-Styles]] · [[Distributed-Systems]]
+- 부모: [[Software Architecture Styles]] · [[Distributed-Systems]]
 - 변형: [[REST]] · [[gRPC]] · [[MQTT]] · [[WebRTC]]
-- 응용: [[BFF]] · [[API-Gateway]] · [[Service-Mesh]] · [[Edge Computing|Edge-Computing]]
+- 응용: [[BFF]] · [[API-Gateway]] · [[Service Mesh]] · [[Edge Computing|Edge-Computing]]
 - 대안: [[Local-First]] · [[Serverless]] · [[CRDT]]
 - Adjacent: [[CAP-Theorem]] · [[Availability-and-Persistence]] · [[Microservices]]
 
@@ -311,7 +311,7 @@ app.get('/health', (req, res) => {
 ## 🧪 검증 / 중복
 - Verified (Roy Fielding REST thesis, gRPC docs, BFF pattern Sam Newman).
 - 신뢰도 A.
-- Related: [[Architecture-Styles]] · [[Microservices]] · [[CAP-Theorem]] · [[Bounded-Contexts]] · [[Availability-and-Persistence]].
+- Related: [[Software Architecture Styles]] · [[Microservices]] · [[CAP-Theorem]] · [[Bounded Contexts (DDD)]] · [[Availability-and-Persistence]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/CodeScene.md b/10_Wiki/Topics/AI_and_ML/CodeScene.md
index e97bdc74..24088e3b 100644
--- a/10_Wiki/Topics/AI_and_ML/CodeScene.md
+++ b/10_Wiki/Topics/AI_and_ML/CodeScene.md
@@ -231,7 +231,7 @@ def refactor_dashboard(repo):
 - 부모: [[Code-Quality]] · [[Refactoring_Best_Practices|Refactoring]]
 - 변형: [[Behavioral-Code-Analysis]] · [[Hotspot-Detection]] · [[Code-Health]]
 - 응용: [[Quality-Gate]]
-- Adjacent: [[Code_Smells]] · [[Quality_Code_Review_Modern]] · [[Axify]] · [[SonarQube]] · [[Architecture-Anti-Patterns]]
+- Adjacent: [[Code_Smells]] · [[Quality_Code_Review_Modern]] · [[Axify]] · [[SonarQube]] · [[Architecture Anti-patterns]]
 
 ## 🤖 LLM 활용
 **언제**: 매 refactor priority. 매 onboarding. 매 architecture review. 매 incident prevention.
@@ -247,7 +247,7 @@ def refactor_dashboard(repo):
 ## 🧪 검증 / 중복
 - Verified (Adam Tornhill "Your Code as a Crime Scene", CodeScene docs).
 - 신뢰도 B.
-- Related: [[Code_Smells]] · [[Quality_Code_Review_Modern]] · [[Axify]] · [[Architecture-Anti-Patterns]] · [[Asset-Specific-Knowledge]].
+- Related: [[Code_Smells]] · [[Quality_Code_Review_Modern]] · [[Axify]] · [[Architecture Anti-patterns]] · [[Asset-Specific-Knowledge]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Code_Smells.md b/10_Wiki/Topics/AI_and_ML/Code_Smells.md
index 9b177701..c1fd6e4d 100644
--- a/10_Wiki/Topics/AI_and_ML/Code_Smells.md
+++ b/10_Wiki/Topics/AI_and_ML/Code_Smells.md
@@ -253,8 +253,8 @@ def visit(file):
 - 부모: [[Refactoring_Best_Practices|Refactoring]] · [[Code-Quality]]
 - 변형: [[Bloater]] · [[Coupler]] · [[Dispensable]]
 - 응용: [[Replace-Conditional-with-Polymorphism]]
-- 비판: [[Anaemic-Domain-Model]] (Data Class)
-- Adjacent: [[Architecture-Anti-Patterns]] · [[Quality_Code_Review_Modern]] · [[Clean-Code-Principles]] · [[SOLID]]
+- 비판: [[Anaemic Domain Model]] (Data Class)
+- Adjacent: [[Architecture Anti-patterns]] · [[Quality_Code_Review_Modern]] · [[Clean-Code-Principles]] · [[SOLID]]
 
 ## 🤖 LLM 활용
 **언제**: 매 code review. 매 refactor planning. 매 onboarding (smell 의 catalog 인지).
@@ -271,7 +271,7 @@ def visit(file):
 ## 🧪 검증 / 중복
 - Verified (Fowler "Refactoring", Beck "Implementation Patterns", SonarQube rules).
 - 신뢰도 A.
-- Related: [[Architecture-Anti-Patterns]] · [[Anaemic-Domain-Model]] · [[Quality_Code_Review_Modern]] · [[Clean-Code-Principles]].
+- Related: [[Architecture Anti-patterns]] · [[Anaemic Domain Model]] · [[Quality_Code_Review_Modern]] · [[Clean-Code-Principles]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Codebase_Maps_and_Interactive_Tours.md b/10_Wiki/Topics/AI_and_ML/Codebase_Maps_and_Interactive_Tours.md
index 90ff5443..bf62ccff 100644
--- a/10_Wiki/Topics/AI_and_ML/Codebase_Maps_and_Interactive_Tours.md
+++ b/10_Wiki/Topics/AI_and_ML/Codebase_Maps_and_Interactive_Tours.md
@@ -61,7 +61,7 @@ tech_stack:
 
 ## 🔗 Graph
 - 부모: [[Codebase_Onboarding_Guide]] · [[C4_Model]]
-- Adjacent: [[Asset-Specific-Knowledge]] · [[CodeScene]] · [[Bounded-Contexts]]
+- Adjacent: [[Asset-Specific-Knowledge]] · [[CodeScene]] · [[Bounded Contexts (DDD)]]
 
 ## 🕓 변경 이력 (Changelog)
 
diff --git a/10_Wiki/Topics/AI_and_ML/Codebase_Onboarding_Guide.md b/10_Wiki/Topics/AI_and_ML/Codebase_Onboarding_Guide.md
index 93e0e72e..bcbdcf8c 100644
--- a/10_Wiki/Topics/AI_and_ML/Codebase_Onboarding_Guide.md
+++ b/10_Wiki/Topics/AI_and_ML/Codebase_Onboarding_Guide.md
@@ -61,7 +61,7 @@ tech_stack:
 **언제 X**: 매 single-script project.
 
 ## 🔗 지식 연결
-- Adjacent: [[Asset-Specific-Knowledge]] · [[C4_Model]] · [[Architecture-Styles]] · [[Bounded-Contexts]] · [[CodeScene]]
+- Adjacent: [[Asset-Specific-Knowledge]] · [[C4_Model]] · [[Software Architecture Styles]] · [[Bounded Contexts (DDD)]] · [[CodeScene]]
 
 ## 💻 패턴
 
diff --git a/10_Wiki/Topics/AI_and_ML/Cognition Overcoming Action.md b/10_Wiki/Topics/AI_and_ML/Cognition Overcoming Action.md
index 01232c1f..1c11f2aa 100644
--- a/10_Wiki/Topics/AI_and_ML/Cognition Overcoming Action.md	
+++ b/10_Wiki/Topics/AI_and_ML/Cognition Overcoming Action.md	
@@ -233,7 +233,7 @@ def premortem(plan):
 **기본값**: 매 weekly cycle. 매 quarterly deep review. 매 daily small adjustment.
 
 ## 🔗 Graph
-- 부모: [[Strategy]] · [[Decision-Theory]]
+- 부모: [[Strategy]] · [[Decision Theory]]
 - 변형: [[Resilience]]
 - 응용: [[Strategic-Agility]]
 - Adjacent: [[Bounded_Rationality|Bounded-Rationality]] · [[Antifragility]] · [[Articulateness]] · [[Be-Detailed]]
@@ -253,7 +253,7 @@ def premortem(plan):
 ## 🧪 검증 / 중복
 - Verified (Korean business literature, Boyd OODA, VUCA US Army War College).
 - 신뢰도 B.
-- Related: [[OODA-Loop]] · [[Antifragility]] · [[Bounded_Rationality|Bounded-Rationality]] · [[Premortem]] · [[Case Interviews]].
+- Related: [[OODA-Loop]] · [[Antifragility]] · [[Bounded_Rationality|Bounded-Rationality]] · [[Pre-Mortem]] · [[Case Interviews]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Cognitive Biases.md b/10_Wiki/Topics/AI_and_ML/Cognitive Biases.md
index 8b6b33d3..c89c6f0f 100644
--- a/10_Wiki/Topics/AI_and_ML/Cognitive Biases.md	
+++ b/10_Wiki/Topics/AI_and_ML/Cognitive Biases.md	
@@ -106,7 +106,7 @@ tech_stack:
 - 매 confirm-shaming.
 - 매 forced continuity.
 - 매 misdirection.
-- 매 [[Addiction-Neuroscience]] 참조.
+- 매 [[Addiction Neuroscience]] 참조.
 
 ### 매 debiasing 기법
 1. **Premortem** (Klein): 매 imagine failure.
@@ -294,10 +294,10 @@ def survivorship_audit(success_set, full_set):
 **기본값**: 매 explicit slow-down + 매 system 2 의 invoke + 매 evidence-based.
 
 ## 🔗 Graph
-- 부모: [[Psychology]] · [[Decision-Theory]] · [[Behavioral-Economics]]
-- 변형: [[Confirmation-Bias]] · [[Loss-Aversion]]
+- 부모: [[Psychology]] · [[Decision Theory]] · [[Behavioral-Economics]]
+- 변형: [[Confirmation Bias]] · [[Loss-Aversion]]
 - 응용: [[Nudge]] · [[Debiasing]]
-- Adjacent: [[Bounded_Rationality|Bounded-Rationality]] · [[Bias-Correction-Algorithm]] · [[Algorithmic-Fairness]] · [[Beliefs]] · [[Addiction-Neuroscience]] (dark pattern)
+- Adjacent: [[Bounded_Rationality|Bounded-Rationality]] · [[Bias-Correction-Algorithm]] · [[Algorithmic Fairness]] · [[Beliefs]] · [[Addiction Neuroscience]] (dark pattern)
 - 사상가: [[Kahneman]]
 
 ## 🤖 LLM 활용
@@ -315,7 +315,7 @@ def survivorship_audit(success_set, full_set):
 ## 🧪 검증 / 중복
 - Verified (Tversky-Kahneman, Kahneman "Thinking", Cialdini "Influence", Thaler "Nudge").
 - 신뢰도 A.
-- Related: [[Bounded_Rationality|Bounded-Rationality]] · [[Beliefs]] · [[Bias-Correction-Algorithm]] · [[Algorithmic-Fairness]] · [[Decision-Theory]] · [[Addiction-Neuroscience]].
+- Related: [[Bounded_Rationality|Bounded-Rationality]] · [[Beliefs]] · [[Bias-Correction-Algorithm]] · [[Algorithmic Fairness]] · [[Decision Theory]] · [[Addiction Neuroscience]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Cognitive Constraints.md b/10_Wiki/Topics/AI_and_ML/Cognitive Constraints.md
index 4d60b06e..164059c4 100644
--- a/10_Wiki/Topics/AI_and_ML/Cognitive Constraints.md	
+++ b/10_Wiki/Topics/AI_and_ML/Cognitive Constraints.md	
@@ -269,9 +269,9 @@ def classify_capability(capability):
 
 ## 🔗 Graph
 - 부모: [[Software-Architecture]]
-- 변형: [[Team-Topologies]] · [[Inverse-Conway]] · [[Cognitive Load Theory|Cognitive-Load-Theory]]
-- 응용: [[Bounded-Contexts]] · [[Microservices]] · [[Platform-Engineering]]
-- Adjacent: [[Architecture-Styles]] · [[Architecture-Anti-Patterns]] · [[Bottlenecks]] · [[Asset-Specific-Knowledge]]
+- 변형: [[Team Topologies]] · [[Inverse-Conway]] · [[Cognitive Load Theory|Cognitive-Load-Theory]]
+- 응용: [[Bounded Contexts (DDD)]] · [[Microservices]] · [[Platform-Engineering]]
+- Adjacent: [[Software Architecture Styles]] · [[Architecture Anti-patterns]] · [[Bottlenecks]] · [[Asset-Specific-Knowledge]]
 
 ## 🤖 LLM 활용
 **언제**: 매 org redesign. 매 team boundary. 매 platform strategy. 매 onboarding optimization.
@@ -288,7 +288,7 @@ def classify_capability(capability):
 ## 🧪 검증 / 중복
 - Verified (Conway 1967, Skelton-Pais 2019, Sweller cognitive load).
 - 신뢰도 A.
-- Related: [[Architecture-Styles]] · [[Bounded-Contexts]] · [[Architecture-Anti-Patterns]] · [[Codebase_Onboarding_Guide]] · [[Asset-Specific-Knowledge]].
+- Related: [[Software Architecture Styles]] · [[Bounded Contexts (DDD)]] · [[Architecture Anti-patterns]] · [[Codebase_Onboarding_Guide]] · [[Asset-Specific-Knowledge]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Cognitive-Architecture.md b/10_Wiki/Topics/AI_and_ML/Cognitive-Architecture.md
index 47857c22..479083e3 100644
--- a/10_Wiki/Topics/AI_and_ML/Cognitive-Architecture.md
+++ b/10_Wiki/Topics/AI_and_ML/Cognitive-Architecture.md
@@ -301,7 +301,7 @@ Explain in plain language.""")
 - 부모: [[Agent-Architecture]] · [[AI]]
 - Classical: [[SOAR]] · [[ACT-R]]
 - Modern: [[ReAct]] · [[LangGraph]] · [[AutoGen]] · [[Reflexion]]
-- 응용: [[Memory-Hierarchy]] · [[Working-Memory]]
+- 응용: [[Memory-Hierarchy]] · [[Working Memory]]
 - Adjacent: [[Bayesian-Brain-Hypothesis]] · [[Biological-Intelligence]] · [[Neural-Symbolic-Integration|Neuro-Symbolic-AI]] · [[Multi-agent-System|Multi-Agent-Systems]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Cognitive-Evaluation-Theory.md b/10_Wiki/Topics/AI_and_ML/Cognitive-Evaluation-Theory.md
index 0ebf227e..2b1fb9dc 100644
--- a/10_Wiki/Topics/AI_and_ML/Cognitive-Evaluation-Theory.md
+++ b/10_Wiki/Topics/AI_and_ML/Cognitive-Evaluation-Theory.md
@@ -217,7 +217,7 @@ class SelfProductivityTracker:
 - 부모: [[Psychology]] · [[Motivation]] · [[Behavioral-Economics]]
 - 변형: [[Self-Determination-Theory]] · [[Flow_State|Flow-State]]
 - 응용: [[Gamification]] · [[Game-Design]] · [[UX]]
-- Adjacent: [[Cognitive-Biases]] · [[Addiction-Neuroscience]] · [[Authenticity]] · [[Anthropomorphism]]
+- Adjacent: [[Cognitive Biases]] · [[Addiction Neuroscience]] · [[Authenticity]] · [[Anthropomorphism]]
 
 ## 🤖 LLM 활용
 **언제**: 매 motivation design. 매 game design. 매 education tool. 매 workplace policy. 매 product UX.
@@ -234,7 +234,7 @@ class SelfProductivityTracker:
 ## 🧪 검증 / 중복
 - Verified (Deci-Ryan SDT, Pink "Drive", Lepper over-justification).
 - 신뢰도 A.
-- Related: [[Cognitive-Biases]] · [[Addiction-Neuroscience]] · [[Game-Design]] · [[Authenticity]] · [[Bounded_Rationality|Bounded-Rationality]].
+- Related: [[Cognitive Biases]] · [[Addiction Neuroscience]] · [[Game-Design]] · [[Authenticity]] · [[Bounded_Rationality|Bounded-Rationality]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Cognitive-Therapy-in-CBT.md b/10_Wiki/Topics/AI_and_ML/Cognitive-Therapy-in-CBT.md
index 12c515b3..fc55fb32 100644
--- a/10_Wiki/Topics/AI_and_ML/Cognitive-Therapy-in-CBT.md
+++ b/10_Wiki/Topics/AI_and_ML/Cognitive-Therapy-in-CBT.md
@@ -258,7 +258,7 @@ def three_minute_breathing_space():
 - 변형: [[DBT]]
 - 응용: [[Cognitive-Distortion]] · [[ERP]]
 - 사상가: [[Aaron-Beck]]
-- Adjacent: [[Cognitive-Biases]] · [[Beliefs]] · [[Chronic-Pain-Management-Protocols]] · [[Brain-Derived Neurotrophic Factor (BDNF)]]
+- Adjacent: [[Cognitive Biases]] · [[Beliefs]] · [[Chronic-Pain-Management-Protocols]] · [[Brain-Derived Neurotrophic Factor (BDNF)]]
 
 ## 🤖 LLM 활용
 **언제**: 매 self-help guidance. 매 product mental wellness feature. 매 cognitive worker self-care.
@@ -275,7 +275,7 @@ def three_minute_breathing_space():
 ## 🧪 검증 / 중복
 - Verified (Beck, Ellis, Burns, Linehan, NICE guidelines).
 - 신뢰도 A.
-- Related: [[Cognitive-Biases]] · [[Mindfulness]] · [[Brain-Derived Neurotrophic Factor (BDNF)]] · [[Chronic-Pain-Management-Protocols]] · [[Beliefs]].
+- Related: [[Cognitive Biases]] · [[Mindfulness]] · [[Brain-Derived Neurotrophic Factor (BDNF)]] · [[Chronic-Pain-Management-Protocols]] · [[Beliefs]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Collaborative-Filtering.md b/10_Wiki/Topics/AI_and_ML/Collaborative-Filtering.md
index 4056dea6..ff712293 100644
--- a/10_Wiki/Topics/AI_and_ML/Collaborative-Filtering.md
+++ b/10_Wiki/Topics/AI_and_ML/Collaborative-Filtering.md
@@ -262,7 +262,7 @@ def ab_test(variant, user_id):
 - 부모: [[Recommender-System]] · [[Machine-Learning]]
 - 변형: [[Matrix-Factorization]] · [[ALS]] · [[Two-Tower]]
 - 응용: [[Faiss]] · [[Embedding]]
-- Adjacent: [[Cognitive-Biases]] · [[Algorithmic-Fairness]] · [[CLIP]] (multimodal)
+- Adjacent: [[Cognitive Biases]] · [[Algorithmic Fairness]] · [[CLIP]] (multimodal)
 
 ## 🤖 LLM 활용
 **언제**: 매 recommendation system. 매 personalization. 매 search ranking. 매 cold-start design.
@@ -280,7 +280,7 @@ def ab_test(variant, user_id):
 ## 🧪 검증 / 중복
 - Verified (Netflix Prize, Koren ALS paper, SASRec / BERT4Rec).
 - 신뢰도 A.
-- Related: [[Cognitive-Biases]] · [[Algorithmic-Fairness]] · [[CLIP]] · [[Anthropomorphism]] (over-trust).
+- Related: [[Cognitive Biases]] · [[Algorithmic Fairness]] · [[CLIP]] · [[Anthropomorphism]] (over-trust).
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Collective-Intelligence.md b/10_Wiki/Topics/AI_and_ML/Collective-Intelligence.md
index 01ba2b3e..dbb62224 100644
--- a/10_Wiki/Topics/AI_and_ML/Collective-Intelligence.md
+++ b/10_Wiki/Topics/AI_and_ML/Collective-Intelligence.md
@@ -245,11 +245,11 @@ def aggregate_forecasts(forecasts, weights=None):
 **기본값**: 매 4 condition 의 satisfy + 매 aggregation mechanism 의 explicit.
 
 ## 🔗 Graph
-- 부모: [[Multi-agent-System|Multi-Agent-Systems]] · [[Decision-Theory]]
+- 부모: [[Multi-agent-System|Multi-Agent-Systems]] · [[Decision Theory]]
 - 변형: [[Swarm_Intelligence|Swarm-Intelligence]] · [[Prediction-Market]]
 - 응용: [[DAO]]
 - AI 응용: [[Self-Consistency]] · [[Mixture-of-Experts]] · [[Best-of-N_Sampling]]
-- Adjacent: [[Cognitive-Biases]] · [[Anarchism]] · [[Bounded_Rationality|Bounded-Rationality]] · [[Beliefs]]
+- Adjacent: [[Cognitive Biases]] · [[Anarchism]] · [[Bounded_Rationality|Bounded-Rationality]] · [[Beliefs]]
 
 ## 🤖 LLM 활용
 **언제**: 매 multi-agent design. 매 governance system. 매 forecasting. 매 crowdsource. 매 LLM accuracy boost.
@@ -266,7 +266,7 @@ def aggregate_forecasts(forecasts, weights=None):
 ## 🧪 검증 / 중복
 - Verified (Surowiecki "Wisdom of Crowds", Tetlock "Superforecasting", Galton 1906).
 - 신뢰도 B.
-- Related: [[Anarchism]] · [[Bounded_Rationality|Bounded-Rationality]] · [[Cognitive-Biases]] · [[Best-of-N_Sampling]] · [[Multi-agent-System|Multi-Agent-Systems]].
+- Related: [[Anarchism]] · [[Bounded_Rationality|Bounded-Rationality]] · [[Cognitive Biases]] · [[Best-of-N_Sampling]] · [[Multi-agent-System|Multi-Agent-Systems]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Combined Arms (제병협동) 전술.md b/10_Wiki/Topics/AI_and_ML/Combined Arms (제병협동) 전술.md
index 0c934483..93166180 100644
--- a/10_Wiki/Topics/AI_and_ML/Combined Arms (제병협동) 전술.md	
+++ b/10_Wiki/Topics/AI_and_ML/Combined Arms (제병협동) 전술.md	
@@ -228,7 +228,7 @@ def validate_force_composition(army):
 ## 🔗 Graph
 - 부모: [[Game-Design]]
 - 변형: [[Mixed-Platoon-Tactics]] · [[Rock-Paper-Scissors-Balance]]
-- 응용: [[Eugen Systems 모딩 매뉴얼|WARNO]] · [[Wargame]]
+- 응용: [[Eugen Systems 모딩 매뉴얼|WARNO]] · [[Wargame]]
 - Adjacent: [[Arc 2 기술 및 2026년 연구 업데이트(March 2026 Research Drop)]] · [[Combat Controls Update (Feb 2014)]] · [[Baiting]] · [[Boss-Orchestration-and-Gimmick-Management]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Commercial AI Art Production.md b/10_Wiki/Topics/AI_and_ML/Commercial AI Art Production.md
index 421498f0..af4da8d2 100644
--- a/10_Wiki/Topics/AI_and_ML/Commercial AI Art Production.md	
+++ b/10_Wiki/Topics/AI_and_ML/Commercial AI Art Production.md	
@@ -271,7 +271,7 @@ class GenerationCostTracker:
 **기본값**: Midjourney (draft → final) + DALL-E 3 (text) + Firefly (safe). 매 brand = sref / LoRA.
 
 ## 🔗 Graph
-- 부모: [[AI 이미지 생성 (AI Image Generation)]] · [[Marketing]]
+- 부모: [[AI Image Generation]] · [[Marketing]]
 - 변형: [[Brand Consistency Maintenance]] · [[ChatGPT_Emoticon_Prompt_Engineering]]
 - 응용: [[Midjourney]] · [[DALL-E]] · [[Flux]] · [[Adobe-Firefly]] · [[Stable-Diffusion]]
 - Adjacent: [[Authenticity]] · [[Arts]] · [[CFG 스케일(Classifier-Free Guidance Scale)]]
diff --git a/10_Wiki/Topics/AI_and_ML/CompCert-C-Compiler.md b/10_Wiki/Topics/AI_and_ML/CompCert-C-Compiler.md
index 19ccb747..12552541 100644
--- a/10_Wiki/Topics/AI_and_ML/CompCert-C-Compiler.md
+++ b/10_Wiki/Topics/AI_and_ML/CompCert-C-Compiler.md
@@ -204,7 +204,7 @@ Don't trust:
 **기본값**: 매 safety-critical = CompCert + Coq. 매 일반 = GCC + tests + sanitize.
 
 ## 🔗 Graph
-- 부모: [[Formal-Methods]] · [[Automated-Theorem-Proving]]
+- 부모: [[Formal Methods]] · [[Automated-Theorem-Proving]]
 - Tool: [[Coq]]
 - Adjacent: [[Reliability]] · [[Antifragility]] · [[CI_CD 파이프라인 및 IDE 통합 보안]]
 
diff --git a/10_Wiki/Topics/AI_and_ML/Computational-Neuroscience-RL.md b/10_Wiki/Topics/AI_and_ML/Computational-Neuroscience-RL.md
index 74f60964..eb5121c4 100644
--- a/10_Wiki/Topics/AI_and_ML/Computational-Neuroscience-RL.md
+++ b/10_Wiki/Topics/AI_and_ML/Computational-Neuroscience-RL.md
@@ -70,7 +70,7 @@ tech_stack:
 
 ### 매 disease modeling
 - **Parkinson's**: 매 dopamine deficit → 매 RL 의 LR ↓.
-- **Addiction**: 매 RPE 의 hijack ([[Addiction-Neuroscience]]).
+- **Addiction**: 매 RPE 의 hijack ([[Addiction Neuroscience]]).
 - **Depression**: 매 negative RPE bias.
 - **OCD**: 매 model-based 의 over-engaged.
 - **Schizophrenia**: 매 prediction error precision 의 alter.
@@ -244,8 +244,8 @@ def calibrate_reward(expected, actual):
 - 부모: [[Reinforcement-Learning]] · [[Computational-Neuroscience-RL|Computational-Neuroscience]]
 - 변형: [[TD-Learning]] · [[Distributional-RL]] · [[Meta-RL]]
 - 응용: [[Disease-Modeling]]
-- Adjacent: [[Bayesian-Brain-Hypothesis]] · [[Biological-Intelligence]] · [[Addiction-Neuroscience]] · [[Brain-Derived Neurotrophic Factor (BDNF)]]
-- Concept: [[Reward-Prediction-Error]] · [[Dopamine]] · [[Basal-Ganglia]]
+- Adjacent: [[Bayesian-Brain-Hypothesis]] · [[Biological-Intelligence]] · [[Addiction Neuroscience]] · [[Brain-Derived Neurotrophic Factor (BDNF)]]
+- Concept: [[Reward Prediction Error]] · [[Dopamine]] · [[Basal-Ganglia]]
 
 ## 🤖 LLM 활용
 **언제**: 매 RL algorithm design. 매 brain-inspired AI. 매 disease model. 매 reward schedule.
@@ -261,7 +261,7 @@ def calibrate_reward(expected, actual):
 ## 🧪 검증 / 중복
 - Verified (Schultz dopamine, Sutton-Barto RL book, Dabney distributional, Hafner Dreamer).
 - 신뢰도 A.
-- Related: [[Bayesian-Brain-Hypothesis]] · [[Biological-Intelligence]] · [[Addiction-Neuroscience]] · [[Brain-Derived Neurotrophic Factor (BDNF)]] · [[Reinforcement-Learning]].
+- Related: [[Bayesian-Brain-Hypothesis]] · [[Biological-Intelligence]] · [[Addiction Neuroscience]] · [[Brain-Derived Neurotrophic Factor (BDNF)]] · [[Reinforcement-Learning]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Compute Shader.md b/10_Wiki/Topics/AI_and_ML/Compute Shader.md
index 8470b0de..e558f4e8 100644
--- a/10_Wiki/Topics/AI_and_ML/Compute Shader.md	
+++ b/10_Wiki/Topics/AI_and_ML/Compute Shader.md	
@@ -271,8 +271,8 @@ async function frame() {
 
 ## 🔗 Graph
 - 부모: [[WebGPU]] · [[Computer-Graphics]]
-- 변형: [[WGSL]] · [[GPU-Driven-Rendering]] · [[Indirect-Draw]]
-- 응용: [[Three-js]] · [[Particle-System]]
+- 변형: [[WGSL]] · [[GPU-driven Rendering]] · [[Indirect Draw]]
+- 응용: [[Three.js]] · [[Particle-System]]
 - Adjacent: [[CSS Animations]] · [[Web-Performance]] · [[Bottlenecks]] · [[Bioenergetics]] (energy-efficient)
 
 ## 🤖 LLM 활용
@@ -290,7 +290,7 @@ async function frame() {
 ## 🧪 검증 / 중복
 - Verified (WebGPU spec, Three.js webgpu, Hokusai exhibition).
 - 신뢰도 A.
-- Related: [[CSS Animations]] · [[Web-Performance]] · [[Bottlenecks]] · [[Baseline-Project]] · [[20k skinned instances demo]].
+- Related: [[CSS Animations]] · [[Web-Performance]] · [[Bottlenecks]] · [[Baseline (Web Platform Features)]] · [[20k skinned instances demo]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Computer_Vision.md b/10_Wiki/Topics/AI_and_ML/Computer_Vision.md
index d756973c..f731d5ab 100644
--- a/10_Wiki/Topics/AI_and_ML/Computer_Vision.md
+++ b/10_Wiki/Topics/AI_and_ML/Computer_Vision.md
@@ -258,9 +258,9 @@ def mae_pretrain(model, image, mask_ratio=0.75):
 **기본값**: 매 task-specific SOTA + 매 CLIP / SAM 의 zero-shot fallback.
 
 ## 🔗 Graph
-- 부모: [[AI]] · [[Deep-Learning]]
+- 부모: [[AI]] · [[Deep Learning]]
 - 변형: [[CNN]] · [[ViT]] · [[CLIP]] · [[SAM]] · [[MAE]]
-- 응용: [[Object-Detection]] · [[Bounding-Box-Regression]] · [[Automated_Mapping]] · [[Autonomous-Vehicles]] · [[Algorithmic-Biology]]
+- 응용: [[Object-Detection]] · [[Bounding-Box-Regression]] · [[Automated_Mapping]] · [[Autonomous Vehicles]] · [[Algorithmic-Biology]]
 - Adjacent: [[Diffusion-Models]] · [[CV_Synthesis]]
 
 ## 🤖 LLM 활용
@@ -277,7 +277,7 @@ def mae_pretrain(model, image, mask_ratio=0.75):
 ## 🧪 검증 / 중복
 - Verified (ImageNet, ViT, CLIP, SAM papers).
 - 신뢰도 A.
-- Related: [[CLIP]] · [[Bounding-Box-Regression]] · [[Automated_Mapping]] · [[Autonomous-Vehicles]] · [[CV_Synthesis]] · [[Algorithmic-Biology]].
+- Related: [[CLIP]] · [[Bounding-Box-Regression]] · [[Automated_Mapping]] · [[Autonomous Vehicles]] · [[CV_Synthesis]] · [[Algorithmic-Biology]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Concept-Drift.md b/10_Wiki/Topics/AI_and_ML/Concept-Drift.md
index b025f706..ae795bc9 100644
--- a/10_Wiki/Topics/AI_and_ML/Concept-Drift.md
+++ b/10_Wiki/Topics/AI_and_ML/Concept-Drift.md
@@ -264,7 +264,7 @@ def llm_with_freshness(query):
 - 변형: [[Data-Drift]] · [[Concept-Drift]]
 - Detection: [[PSI]] · [[KL-Divergence]]
 - Tool: [[Evidently]]
-- Adjacent: [[Catastrophic-Forgetting]] · [[Continual-Learning]] · [[Bias-vs-Variance]] · [[Antifragility]]
+- Adjacent: [[Catastrophic-Forgetting]] · [[Continual-Learning]] · [[Bias vs Variance Trade-off]] · [[Antifragility]]
 
 ## 🤖 LLM 활용
 **언제**: 매 production ML monitoring. 매 drift detection. 매 retrain trigger design. 매 LLM RAG freshness.
diff --git a/10_Wiki/Topics/AI_and_ML/Connect-AI-Documentation.md b/10_Wiki/Topics/AI_and_ML/Connect-AI-Documentation.md
index fd149aa9..f1edb9e3 100644
--- a/10_Wiki/Topics/AI_and_ML/Connect-AI-Documentation.md
+++ b/10_Wiki/Topics/AI_and_ML/Connect-AI-Documentation.md
@@ -98,7 +98,7 @@ const userSchema = z.object({
 
 ## 🔗 Graph
 - 응용: [[Codebase_Onboarding_Guide]] · [[Codebase_Maps_and_Interactive_Tours]] · [[ADR]] · [[C4_Model]]
-- Adjacent: [[Asset-Specific-Knowledge]] · [[Architecture-Styles]]
+- Adjacent: [[Asset-Specific-Knowledge]] · [[Software Architecture Styles]]
 
 ## 🤖 LLM 활용
 **언제**: 매 internal AI project 의 doc design.
diff --git a/10_Wiki/Topics/AI_and_ML/Constraint Satisfaction Problems (CSP).md b/10_Wiki/Topics/AI_and_ML/Constraint Satisfaction Problems (CSP).md
index bb137167..873d3bf6 100644
--- a/10_Wiki/Topics/AI_and_ML/Constraint Satisfaction Problems (CSP).md	
+++ b/10_Wiki/Topics/AI_and_ML/Constraint Satisfaction Problems (CSP).md	
@@ -284,7 +284,7 @@ class LearnedHeuristic:
 - 변형: [[MIP]]
 - 응용: [[Scheduling]] · [[Routing]]
 - Tool: [[OR-Tools]]
-- Adjacent: [[Black-Box-Optimization]] · [[Automated-Theorem-Proving]] · [[Bayesian-Statistics]]
+- Adjacent: [[Black-Box-Optimization]] · [[Automated-Theorem-Proving]] · [[Bayesian Statistics]]
 
 ## 🤖 LLM 활용
 **언제**: 매 scheduling, 매 routing, 매 configuration. 매 verification. 매 puzzle.
@@ -301,7 +301,7 @@ class LearnedHeuristic:
 ## 🧪 검증 / 중복
 - Verified (Russell-Norvig AI book, OR-Tools docs, Handbook of CP).
 - 신뢰도 A.
-- Related: [[Black-Box-Optimization]] · [[Automated-Theorem-Proving]] · [[Bayesian-Statistics]] · [[Causal-Inference]].
+- Related: [[Black-Box-Optimization]] · [[Automated-Theorem-Proving]] · [[Bayesian Statistics]] · [[Causal-Inference]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Container_Queries.md b/10_Wiki/Topics/AI_and_ML/Container_Queries.md
index 09a234c1..9dfd2278 100644
--- a/10_Wiki/Topics/AI_and_ML/Container_Queries.md
+++ b/10_Wiki/Topics/AI_and_ML/Container_Queries.md
@@ -270,9 +270,9 @@ export const Card = {
 
 ## 🔗 Graph
 - 부모: [[Responsive-Design]]
-- 변형: [[Media-Queries]] · [[Fluid-Typography]]
+- 변형: [[Media-Queries]] · [[Fluid Typography]]
 - 응용: [[Design-System]] · [[Storybook]] · [[Tailwind]] · [[CSS Animations]]
-- Adjacent: [[Baseline-Project]] · [[Bounded-Contexts]] · [[Architecture-Styles]]
+- Adjacent: [[Baseline (Web Platform Features)]] · [[Bounded Contexts (DDD)]] · [[Software Architecture Styles]]
 
 ## 🤖 LLM 활용
 **언제**: 매 modern responsive design. 매 design system 구축. 매 component library.
@@ -288,7 +288,7 @@ export const Card = {
 ## 🧪 검증 / 중복
 - Verified (web.dev container queries, MDN, Baseline 2025).
 - 신뢰도 A.
-- Related: [[CSS Animations]] · [[Baseline-Project]] · [[Case-Study-Allbirds-PWA-Redesign]] · [[Component-Driven-Design]].
+- Related: [[CSS Animations]] · [[Baseline (Web Platform Features)]] · [[Case-Study-Allbirds-PWA-Redesign]] · [[Component-Driven-Design]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Core Web Vitals Optimization (INP, LCP 개선).md b/10_Wiki/Topics/AI_and_ML/Core Web Vitals Optimization (INP, LCP 개선).md
index ee1cb6a1..e01cc926 100644
--- a/10_Wiki/Topics/AI_and_ML/Core Web Vitals Optimization (INP, LCP 개선).md	
+++ b/10_Wiki/Topics/AI_and_ML/Core Web Vitals Optimization (INP, LCP 개선).md	
@@ -309,7 +309,7 @@ async function heavyLoop(items) {
 - 부모: [[Web-Performance]] · [[SEO]] · [[Frontend]]
 - 변형: [[LCP]] · [[INP]] · [[CLS]] · [[FCP]] · [[TTFB]]
 - 응용: [[React]] · [[Next-js]] · [[RSC]] · [[Lighthouse]]
-- Adjacent: [[CSS Animations]] · [[Container_Queries]] · [[Baseline-Project]] · [[Case-Study-Allbirds-PWA-Redesign]] · [[Chrome DevTools 메모리 프로파일링]]
+- Adjacent: [[CSS Animations]] · [[Container_Queries]] · [[Baseline (Web Platform Features)]] · [[Case-Study-Allbirds-PWA-Redesign]] · [[Chrome DevTools 메모리 프로파일링]]
 
 ## 🤖 LLM 활용
 **언제**: 매 frontend perf review. 매 SEO optimization. 매 React 19 migration.
@@ -327,7 +327,7 @@ async function heavyLoop(items) {
 ## 🧪 검증 / 중복
 - Verified (web.dev Core Web Vitals, Google PageSpeed, React 19 docs).
 - 신뢰도 A.
-- Related: [[CSS Animations]] · [[Container_Queries]] · [[Baseline-Project]] · [[Case-Study-Allbirds-PWA-Redesign]] · [[Chrome DevTools 메모리 프로파일링]].
+- Related: [[CSS Animations]] · [[Container_Queries]] · [[Baseline (Web Platform Features)]] · [[Case-Study-Allbirds-PWA-Redesign]] · [[Chrome DevTools 메모리 프로파일링]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Corgea.md b/10_Wiki/Topics/AI_and_ML/Corgea.md
index 2342f49f..3169635d 100644
--- a/10_Wiki/Topics/AI_and_ML/Corgea.md
+++ b/10_Wiki/Topics/AI_and_ML/Corgea.md
@@ -220,8 +220,8 @@ def estimate_corgea_cost(loc_per_month, scan_count):
 **기본값**: 매 layered approach — 매 Corgea (AI SAST) + 매 Semgrep (custom) + 매 SCA + 매 secret scan + 매 IaC.
 
 ## 🔗 Graph
-- 부모: [[SAST]] · [[CI_CD 파이프라인 및 IDE 통합 보안|DevSecOps]]
-- 변형: [[AI-Native-SAST]] · [[Reachability-Analysis]] · [[Corgea|PolicyIQ]] · [[Autofix]]
+- 부모: [[SAST]] · [[CI/CD Pipeline & IDE Security Integration|DevSecOps]]
+- 변형: [[AI-Native-SAST]] · [[Reachability Analysis]] · [[Corgea|PolicyIQ]] · [[Autofix]]
 - 응용: [[Semgrep]] · [[SonarQube]]
 - Adjacent: [[CI_CD 파이프라인 및 IDE 통합 보안]] · [[AI 코드 리뷰 및 보안 취약점 점검(DevSecOps)]] · [[Custom-ESLint-Rules-Development]] · [[CodeScene]]
 
diff --git a/10_Wiki/Topics/AI_and_ML/Credit Assignment Problem.md b/10_Wiki/Topics/AI_and_ML/Credit Assignment Problem.md
index 05ecf498..de646f3c 100644
--- a/10_Wiki/Topics/AI_and_ML/Credit Assignment Problem.md	
+++ b/10_Wiki/Topics/AI_and_ML/Credit Assignment Problem.md	
@@ -255,8 +255,8 @@ def rlhf_token_advantage(generated_tokens, reward_model):
 **기본값**: 매 GAE (PPO) + 매 PRM (LLM math/code).
 
 ## 🔗 Graph
-- 부모: [[Reinforcement-Learning]] · [[Optimization]] · [[Deep-Learning]]
-- 변형: [[데이터_사이언스_및_ML_엔지니어링|Backpropagation]] · [[TD-Learning]] · [[GAE]] · [[HER]] · [[PRM]]
+- 부모: [[Reinforcement-Learning]] · [[Optimization]] · [[Deep Learning]]
+- 변형: [[데이터 사이언스 및 ML 엔지니어링|Backpropagation]] · [[TD-Learning]] · [[GAE]] · [[HER]] · [[PRM]]
 - 응용: [[PPO]] · [[RLHF]] · [[Best-of-N_Sampling]] · [[Multi-agent-System|Multi-Agent-Systems]]
 - Adjacent: [[Computational-Neuroscience-RL]] · [[Bayesian-Brain-Hypothesis]] · [[Bias-Correction-Algorithm]] · [[Causal-Inference]]
 
diff --git a/10_Wiki/Topics/AI_and_ML/Critical_Rendering_Path.md b/10_Wiki/Topics/AI_and_ML/Critical_Rendering_Path.md
index 12480a45..44d87651 100644
--- a/10_Wiki/Topics/AI_and_ML/Critical_Rendering_Path.md
+++ b/10_Wiki/Topics/AI_and_ML/Critical_Rendering_Path.md
@@ -271,9 +271,9 @@ Content-Type: text/html
 
 ## 🔗 Graph
 - 부모: [[Web-Performance]] · [[Browser]] · [[Frontend]]
-- 변형: [[Reflow]] · [[Repaint]] · [[Compositing]] · [[Render-Tree]]
+- 변형: [[Reflow]] · [[Repaint]] · [[Compositing]] · [[Render Tree]]
 - 응용: [[Core Web Vitals Optimization (INP, LCP 개선)]] · [[CSS Animations]] · [[Container_Queries]]
-- Adjacent: [[Bottlenecks]] · [[Chrome DevTools 메모리 프로파일링]] · [[Baseline-Project]] · [[Case-Study-Allbirds-PWA-Redesign]]
+- Adjacent: [[Bottlenecks]] · [[Chrome DevTools 메모리 프로파일링]] · [[Baseline (Web Platform Features)]] · [[Case-Study-Allbirds-PWA-Redesign]]
 
 ## 🤖 LLM 활용
 **언제**: 매 perf audit. 매 frontend optimization. 매 LCP / FCP 의 fix.
@@ -291,7 +291,7 @@ Content-Type: text/html
 ## 🧪 검증 / 중복
 - Verified (Ilya Grigorik "High Performance Browser Networking", web.dev CRP).
 - 신뢰도 A.
-- Related: [[Core Web Vitals Optimization (INP, LCP 개선)]] · [[CSS Animations]] · [[Container_Queries]] · [[Baseline-Project]] · [[Bottlenecks]].
+- Related: [[Core Web Vitals Optimization (INP, LCP 개선)]] · [[CSS Animations]] · [[Container_Queries]] · [[Baseline (Web Platform Features)]] · [[Bottlenecks]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Cross-Entropy Loss.md b/10_Wiki/Topics/AI_and_ML/Cross-Entropy Loss.md
index d6501373..a9fa2dc0 100644
--- a/10_Wiki/Topics/AI_and_ML/Cross-Entropy Loss.md	
+++ b/10_Wiki/Topics/AI_and_ML/Cross-Entropy Loss.md	
@@ -217,10 +217,10 @@ def mixup_loss(logits, y_a, y_b, lam):
 **기본값**: F.cross_entropy + label_smoothing 0.1 (대부분).
 
 ## 🔗 Graph
-- 부모: [[Loss-Function]] · [[Information_Theory|Information-Theory]] · [[Deep-Learning]]
+- 부모: [[Loss-Function]] · [[Information_Theory|Information-Theory]] · [[Deep Learning]]
 - 변형: [[Focal-Loss]] · [[Label-Smoothing]] · [[LLM_Optimization_and_Deployment_Strategies|Knowledge-Distillation]] · [[KL-Divergence]]
 - 응용: [[Image-Classification-Mastery]]
-- Adjacent: [[Bias-vs-Variance]] · [[Bias-Correction-Algorithm]] · [[Cognitive-Biases]]
+- Adjacent: [[Bias vs Variance Trade-off]] · [[Bias-Correction-Algorithm]] · [[Cognitive Biases]]
 
 ## 🤖 LLM 활용
 **언제**: 매 classification model. 매 LLM training. 매 distillation.
@@ -236,7 +236,7 @@ def mixup_loss(logits, y_a, y_b, lam):
 ## 🧪 검증 / 중복
 - Verified (Bishop "Pattern Recognition", Lin Focal Loss, Hinton distillation).
 - 신뢰도 A.
-- Related: [[Information_Theory|Information-Theory]] · [[Bias-vs-Variance]] · [[Bias-Correction-Algorithm]] · [[Best-of-N_Sampling]].
+- Related: [[Information_Theory|Information-Theory]] · [[Bias vs Variance Trade-off]] · [[Bias-Correction-Algorithm]] · [[Best-of-N_Sampling]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Custom-ESLint-Rules-Development.md b/10_Wiki/Topics/AI_and_ML/Custom-ESLint-Rules-Development.md
index 4c5c455d..7d16b43a 100644
--- a/10_Wiki/Topics/AI_and_ML/Custom-ESLint-Rules-Development.md
+++ b/10_Wiki/Topics/AI_and_ML/Custom-ESLint-Rules-Development.md
@@ -328,7 +328,7 @@ create(context) {
 ## 🔗 Graph
 - 부모: [[ESLint-Static-Analysis|Static-Analysis-Linting]] · [[Code-Quality]]
 - 변형: [[ESLint]] · [[Semgrep]] · [[CodeQL]] · [[dependency-cruiser]]
-- 응용: [[AST]] · [[Code_Smells]] · [[CI_CD 파이프라인 및 IDE 통합 보안]] · [[Architecture-Anti-Patterns]]
+- 응용: [[AST]] · [[Code_Smells]] · [[CI_CD 파이프라인 및 IDE 통합 보안]] · [[Architecture Anti-patterns]]
 - Adjacent: [[Abstract_Syntax_Tree]] · [[Clean-Code-Principles]] · [[Quality_Code_Review_Modern]]
 
 ## 🤖 LLM 활용
@@ -346,7 +346,7 @@ create(context) {
 ## 🧪 검증 / 중복
 - Verified (ESLint docs, typescript-eslint, Semgrep docs).
 - 신뢰도 A.
-- Related: [[ESLint-Static-Analysis|Static-Analysis-Linting]] · [[Code_Smells]] · [[Architecture-Anti-Patterns]] · [[CI_CD 파이프라인 및 IDE 통합 보안]] · [[Abstract_Syntax_Tree]].
+- Related: [[ESLint-Static-Analysis|Static-Analysis-Linting]] · [[Code_Smells]] · [[Architecture Anti-patterns]] · [[CI_CD 파이프라인 및 IDE 통합 보안]] · [[Abstract_Syntax_Tree]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Cybernetics Foundations.md b/10_Wiki/Topics/AI_and_ML/Cybernetics Foundations.md
index 15c92ba5..f7a9c391 100644
--- a/10_Wiki/Topics/AI_and_ML/Cybernetics Foundations.md	
+++ b/10_Wiki/Topics/AI_and_ML/Cybernetics Foundations.md	
@@ -260,8 +260,8 @@ def detect_reward_hacking(agent_trajectory, true_objective):
 **기본값**: PID 의 baseline. 매 model-aware = MPC. 매 multi-agent = active inference.
 
 ## 🔗 Graph
-- 부모: [[Systems-Theory]] · [[Control-Theory]] · [[Multi-agent-System|Multi-Agent-Systems]]
-- 변형: [[Feedback-Loop]] · [[Homeostasis (항상성)|Homeostasis]] · [[Autopoiesis]]
+- 부모: [[Systems Theory]] · [[Control-Theory]] · [[Multi-agent-System|Multi-Agent-Systems]]
+- 변형: [[Feedback-Loop]] · [[Homeostasis (항상성)|Homeostasis]] · [[Autopoiesis]]
 - 사상가: [[Norbert-Wiener]]
 - 응용: [[PID]] · [[MPC]] · [[Active-Inference]] · [[Bayesian-Brain-Hypothesis]]
 - Adjacent: [[Antifragility]] · [[Artificial-Life]] · [[Biological-Intelligence]] · [[Anarchism]]
diff --git a/10_Wiki/Topics/AI_and_ML/DOM vs Virtual DOM.md b/10_Wiki/Topics/AI_and_ML/DOM vs Virtual DOM.md
index edef6208..d55ee971 100644
--- a/10_Wiki/Topics/AI_and_ML/DOM vs Virtual DOM.md	
+++ b/10_Wiki/Topics/AI_and_ML/DOM vs Virtual DOM.md	
@@ -247,7 +247,7 @@ function SearchableList({ items }) {
 
 ## 🔗 Graph
 - 부모: [[Frontend]] · [[Web-Performance]] · [[React]]
-- 변형: [[Virtual-DOM]] · [[Fine-Grained-Reactivity]]
+- 변형: [[Virtual DOM]] · [[Fine-Grained-Reactivity]]
 - 응용: [[React]] · [[Solid]] · [[Vue-3]] · [[htmx]] · [[Astro]]
 - Adjacent: [[Critical_Rendering_Path]] · [[CSS Animations]] · [[Core Web Vitals Optimization (INP, LCP 개선)]] · [[Container_Queries]]
 
diff --git a/10_Wiki/Topics/AI_and_ML/Data Cleaning Algorithms.md b/10_Wiki/Topics/AI_and_ML/Data Cleaning Algorithms.md
index 092af938..bd9946a0 100644
--- a/10_Wiki/Topics/AI_and_ML/Data Cleaning Algorithms.md	
+++ b/10_Wiki/Topics/AI_and_ML/Data Cleaning Algorithms.md	
@@ -267,7 +267,7 @@ def cleaned_users(raw_users):
 - 부모: [[MLOps]] · [[Data-Engineering]] · [[Statistics]]
 - 변형: [[Imputation]] · [[Outlier-Detection]] · [[Deduplication]] · [[Standardization]]
 - 응용: [[Great-Expectations]] · [[DVC]]
-- Adjacent: [[Concept-Drift]] · [[Algorithmic-Fairness]] · [[Bias-Correction-Algorithm]] · [[CV_Synthesis]]
+- Adjacent: [[Concept-Drift]] · [[Algorithmic Fairness]] · [[Bias-Correction-Algorithm]] · [[CV_Synthesis]]
 
 ## 🤖 LLM 활용
 **언제**: 매 ETL pipeline. 매 ML data prep. 매 LLM training data 의 curate.
@@ -284,7 +284,7 @@ def cleaned_users(raw_users):
 ## 🧪 검증 / 중복
 - Verified (Pandas docs, scikit-learn, Great Expectations, Llama-3 paper data curation).
 - 신뢰도 A.
-- Related: [[Concept-Drift]] · [[Algorithmic-Fairness]] · [[Bias-Correction-Algorithm]] · [[Algorithmic-Biology]].
+- Related: [[Concept-Drift]] · [[Algorithmic Fairness]] · [[Bias-Correction-Algorithm]] · [[Algorithmic-Biology]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Data-Augmentation Strategies.md b/10_Wiki/Topics/AI_and_ML/Data-Augmentation Strategies.md
index 71c97919..3e643463 100644
--- a/10_Wiki/Topics/AI_and_ML/Data-Augmentation Strategies.md	
+++ b/10_Wiki/Topics/AI_and_ML/Data-Augmentation Strategies.md	
@@ -247,7 +247,7 @@ def tta_predict(model, image, n=5):
 ## 🔗 Graph
 - 부모: [[Data-Engineering]] · [[L1-and-L2-Regularization|Regularization]]
 - 변형: [[MixUp]] · [[CutMix]] · [[AutoAugment]] · [[Back-Translation]] · [[SMOTE]]
-- Adjacent: [[Bias-vs-Variance]] · [[Cross-Entropy Loss]] · [[CV_Synthesis]] · [[Antifragility]]
+- Adjacent: [[Bias vs Variance Trade-off]] · [[Cross-Entropy Loss]] · [[CV_Synthesis]] · [[Antifragility]]
 
 ## 🤖 LLM 활용
 **언제**: 매 ML training. 매 small dataset. 매 imbalanced. 매 robustness 필요.
@@ -264,7 +264,7 @@ def tta_predict(model, image, n=5):
 ## 🧪 검증 / 중복
 - Verified (Cubuk AutoAugment, Zhang MixUp, DeVries CutOut, SpecAugment).
 - 신뢰도 A.
-- Related: [[Bias-vs-Variance]] · [[Cross-Entropy Loss]] · [[CV_Synthesis]] · [[Computer_Vision]] · [[Antifragility]].
+- Related: [[Bias vs Variance Trade-off]] · [[Cross-Entropy Loss]] · [[CV_Synthesis]] · [[Computer_Vision]] · [[Antifragility]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Data-Ethics and Privacy.md b/10_Wiki/Topics/AI_and_ML/Data-Ethics and Privacy.md
index 75255262..fea53836 100644
--- a/10_Wiki/Topics/AI_and_ML/Data-Ethics and Privacy.md	
+++ b/10_Wiki/Topics/AI_and_ML/Data-Ethics and Privacy.md	
@@ -284,7 +284,7 @@ def retention_purge():
 - 부모: [[AI-Ethics]] · [[Privacy]]
 - 변형: [[GDPR]] · [[CCPA]] · [[Differential-Privacy]] · [[Federated-Learning]] · [[Homomorphic-Encryption]]
 - 응용: [[k-Anonymity]]
-- Adjacent: [[Algorithmic-Fairness]] · [[Authenticity]] · [[AI-Sovereignty]] · [[Data-Flywheel-Effect]] · [[Anthropomorphism]]
+- Adjacent: [[Algorithmic Fairness]] · [[Authenticity]] · [[AI-Sovereignty]] · [[Data-Flywheel-Effect]] · [[Anthropomorphism]]
 
 ## 🤖 LLM 활용
 **언제**: 매 product privacy review. 매 GDPR audit. 매 ML privacy. 매 cross-border data transfer.
@@ -301,7 +301,7 @@ def retention_purge():
 ## 🧪 검증 / 중복
 - Verified (GDPR text, Apple DP, Dwork DP paper, Sweeney k-anonymity).
 - 신뢰도 A.
-- Related: [[Algorithmic-Fairness]] · [[Authenticity]] · [[Bias-Correction-Algorithm]] · [[Anthropomorphism]] · [[Atmospheric-Intelligence]] (privacy challenges).
+- Related: [[Algorithmic Fairness]] · [[Authenticity]] · [[Bias-Correction-Algorithm]] · [[Anthropomorphism]] · [[Atmospheric-Intelligence]] (privacy challenges).
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Data-Flywheel-Effect.md b/10_Wiki/Topics/AI_and_ML/Data-Flywheel-Effect.md
index 2e1caa9d..2e4326a9 100644
--- a/10_Wiki/Topics/AI_and_ML/Data-Flywheel-Effect.md
+++ b/10_Wiki/Topics/AI_and_ML/Data-Flywheel-Effect.md
@@ -224,7 +224,7 @@ def defensibility_score(metrics):
 - 부모: [[Defensibility]]
 - 변형: [[Network-Effect]] · [[Data-Moat]] · [[Cold-Start]]
 - 응용: [[RLHF]] · [[DPO]] · [[Federated-Learning]]
-- Adjacent: [[Concept-Drift]] · [[Cost-Benefit Analysis in AI]] · [[Asset-Specific-Knowledge]] · [[Algorithmic-Fairness]]
+- Adjacent: [[Concept-Drift]] · [[Cost-Benefit Analysis in AI]] · [[Asset-Specific-Knowledge]] · [[Algorithmic Fairness]]
 
 ## 🤖 LLM 활용
 **언제**: 매 AI startup strategy. 매 product roadmap. 매 moat assessment. 매 fundraising 의 differentiator.
@@ -241,7 +241,7 @@ def defensibility_score(metrics):
 ## 🧪 검증 / 중복
 - Verified (Andreessen Horowitz "Data Network Effects", Reid Hoffman, Tesla / Google case studies).
 - 신뢰도 B.
-- Related: [[Cost-Benefit Analysis in AI]] · [[Concept-Drift]] · [[Asset-Specific-Knowledge]] · [[CV_Synthesis]] · [[Algorithmic-Fairness]].
+- Related: [[Cost-Benefit Analysis in AI]] · [[Concept-Drift]] · [[Asset-Specific-Knowledge]] · [[CV_Synthesis]] · [[Algorithmic Fairness]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Decision-Trees and Random Forests.md b/10_Wiki/Topics/AI_and_ML/Decision-Trees and Random Forests.md
index 610bf21a..ec1fda7d 100644
--- a/10_Wiki/Topics/AI_and_ML/Decision-Trees and Random Forests.md	
+++ b/10_Wiki/Topics/AI_and_ML/Decision-Trees and Random Forests.md	
@@ -239,7 +239,7 @@ def extract_rules(tree, feature_names):
 - 부모: [[Ensemble-Methods]]
 - 변형: [[CART]] · [[Random-Forest]] · [[Boosting-Algorithms-XGBoost-LightGBM]]
 - 응용: [[Feature-Importance]] · [[SHAP]]
-- Adjacent: [[Bias-vs-Variance]] · [[Causal-Inference]] (Causal Forest) · [[Cross-Entropy Loss]]
+- Adjacent: [[Bias vs Variance Trade-off]] · [[Causal-Inference]] (Causal Forest) · [[Cross-Entropy Loss]]
 
 ## 🤖 LLM 활용
 **언제**: 매 tabular ML. 매 baseline. 매 interpretable model.
@@ -255,7 +255,7 @@ def extract_rules(tree, feature_names):
 ## 🧪 검증 / 중복
 - Verified (Breiman Random Forest 2001, scikit-learn docs, ESL).
 - 신뢰도 A.
-- Related: [[Boosting-Algorithms-XGBoost-LightGBM]] · [[Bias-vs-Variance]] · [[Causal-Inference]] · [[Cross-Entropy Loss]].
+- Related: [[Boosting-Algorithms-XGBoost-LightGBM]] · [[Bias vs Variance Trade-off]] · [[Causal-Inference]] · [[Cross-Entropy Loss]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Deep-Convolutional-GANs.md b/10_Wiki/Topics/AI_and_ML/Deep-Convolutional-GANs.md
index 3b4317e8..fcbd93cb 100644
--- a/10_Wiki/Topics/AI_and_ML/Deep-Convolutional-GANs.md
+++ b/10_Wiki/Topics/AI_and_ML/Deep-Convolutional-GANs.md
@@ -228,7 +228,7 @@ print(f'FID: {fid:.2f}')  # 매 lower 의 better
 **기본값**: 매 modern generation = Diffusion. 매 GAN = 매 SR / I2I 의 still.
 
 ## 🔗 Graph
-- 부모: [[Generative-AI|Generative-Models]] · [[Deep-Learning]]
+- 부모: [[Generative-AI|Generative-Models]] · [[Deep Learning]]
 - 변형: [[Generative-Adversarial-Networks|GAN]] · [[StyleGAN]] · [[Pix2Pix]] · [[CycleGAN]]
 - 응용: [[Domain-Adaptation]] · [[CV_Synthesis]]
 - Adjacent: [[Diffusion-Models]] · [[Auto-Encoding]] · [[Stable-Diffusion]] · [[Deepfake-Technology]]
diff --git a/10_Wiki/Topics/AI_and_ML/DeepCode AI.md b/10_Wiki/Topics/AI_and_ML/DeepCode AI.md
index 2d47f17e..5fb9f3c1 100644
--- a/10_Wiki/Topics/AI_and_ML/DeepCode AI.md	
+++ b/10_Wiki/Topics/AI_and_ML/DeepCode AI.md	
@@ -223,7 +223,7 @@ function safe_html(input) {
 **기본값**: 매 Snyk + Semgrep complementary.
 
 ## 🔗 Graph
-- 부모: [[SAST]] · [[CI_CD 파이프라인 및 IDE 통합 보안|DevSecOps]]
+- 부모: [[SAST]] · [[CI/CD Pipeline & IDE Security Integration|DevSecOps]]
 - 변형: [[Snyk-Code]] · [[Symbolic-AI]] · [[Hybrid-AI]] · [[Neural-Symbolic-Integration|Neuro-Symbolic-AI]]
 - 응용: [[Corgea]] · [[Semgrep]] · [[SonarQube]] · [[CI_CD 파이프라인 및 IDE 통합 보안]]
 - Adjacent: [[AI 코드 리뷰 및 보안 취약점 점검(DevSecOps)]] · [[Custom-ESLint-Rules-Development]] · [[CodeScene]] · [[AI 생성 코드 검증(AI Code Assurance)]]
diff --git a/10_Wiki/Topics/AI_and_ML/Deepfake-Technology.md b/10_Wiki/Topics/AI_and_ML/Deepfake-Technology.md
index 012c8a68..1c819b16 100644
--- a/10_Wiki/Topics/AI_and_ML/Deepfake-Technology.md
+++ b/10_Wiki/Topics/AI_and_ML/Deepfake-Technology.md
@@ -253,7 +253,7 @@ def detect_ncii_attempt(image, source_user):
 - 변형: [[Face-Swap]] · [[Voice-Cloning]]
 - 응용: [[ElevenLabs]]
 - Mitigation: [[C2PA]]
-- Adjacent: [[Authenticity]] · [[Arts]] · [[Algorithmic-Fairness]] · [[Anthropomorphism]] · [[AI-Safety]]
+- Adjacent: [[Authenticity]] · [[Arts]] · [[Algorithmic Fairness]] · [[Anthropomorphism]] · [[AI Safety]]
 
 ## 🤖 LLM 활용
 **언제**: 매 deepfake risk assessment. 매 detection system. 매 disclosure policy. 매 ethical use review.
@@ -270,7 +270,7 @@ def detect_ncii_attempt(image, source_user):
 ## 🧪 검증 / 중복
 - Verified (FaceForensics++, C2PA spec, EU AI Act 2024, TAKE IT DOWN Act 2025).
 - 신뢰도 B.
-- Related: [[Authenticity]] · [[Arts]] · [[Anthropomorphism]] · [[AI-Safety]] · [[Brand Consistency Maintenance]] · [[Commercial AI Art Production]].
+- Related: [[Authenticity]] · [[Arts]] · [[Anthropomorphism]] · [[AI Safety]] · [[Brand Consistency Maintenance]] · [[Commercial AI Art Production]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Default Mode Network (DMN).md b/10_Wiki/Topics/AI_and_ML/Default Mode Network (DMN).md
index 11794cd9..73b5bd9a 100644
--- a/10_Wiki/Topics/AI_and_ML/Default Mode Network (DMN).md	
+++ b/10_Wiki/Topics/AI_and_ML/Default Mode Network (DMN).md	
@@ -198,7 +198,7 @@ DMN_FRIENDLY = [
 **기본값**: 매 deep work + 매 DMN-friendly break + 매 sleep + 매 mindfulness.
 
 ## 🔗 Graph
-- 변형: [[Mind-Wandering]] · [[Rumination]] · [[Sleep-Consolidation]] · [[Theory-of-Mind]]
+- 변형: [[Mind-Wandering]] · [[Rumination]] · [[Sleep-Consolidation]] · [[Theory of Mind]]
 - Adjacent: [[Brain-Derived Neurotrophic Factor (BDNF)]] · [[Bayesian-Brain-Hypothesis]] · [[Cognitive-Therapy-in-CBT]] · [[Cognitive Reserve Theory]] · [[Bioenergetics]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Dependency_Injection_(DI).md b/10_Wiki/Topics/AI_and_ML/Dependency_Injection_(DI).md
index 6d0aa4b2..5fd238d5 100644
--- a/10_Wiki/Topics/AI_and_ML/Dependency_Injection_(DI).md
+++ b/10_Wiki/Topics/AI_and_ML/Dependency_Injection_(DI).md
@@ -305,9 +305,9 @@ func InitializeUserService() *UserService {
 
 ## 🔗 Graph
 - 부모: [[Design-Patterns]] · [[SOLID]] · [[Clean-Architecture]]
-- 변형: [[Constructor-Injection]]
-- 응용: [[Hexagonal-Architecture]] · [[Bounded-Contexts]]
-- Adjacent: [[Architecture-Styles]] · [[Architecture-Anti-Patterns]] · [[Anaemic-Domain-Model]] · [[Clean-Code-Principles]]
+- 변형: [[Constructor Injection]]
+- 응용: [[Hexagonal Architecture]] · [[Bounded Contexts (DDD)]]
+- Adjacent: [[Software Architecture Styles]] · [[Architecture Anti-patterns]] · [[Anaemic Domain Model]] · [[Clean-Code-Principles]]
 
 ## 🤖 LLM 활용
 **언제**: 매 architecture review. 매 testability improve. 매 multi-impl swap. 매 onboarding code.
@@ -324,7 +324,7 @@ func InitializeUserService() *UserService {
 ## 🧪 검증 / 중복
 - Verified (Fowler IoC, Spring docs, NestJS docs).
 - 신뢰도 A.
-- Related: [[Architecture-Styles]] · [[Clean-Code-Principles]] · [[Code_Smells]] · [[Bounded-Contexts]] · [[Anaemic-Domain-Model]].
+- Related: [[Software Architecture Styles]] · [[Clean-Code-Principles]] · [[Code_Smells]] · [[Bounded Contexts (DDD)]] · [[Anaemic Domain Model]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Depth Pre-Pass.md b/10_Wiki/Topics/AI_and_ML/Depth Pre-Pass.md
index b44f8ad8..7b027cf6 100644
--- a/10_Wiki/Topics/AI_and_ML/Depth Pre-Pass.md	
+++ b/10_Wiki/Topics/AI_and_ML/Depth Pre-Pass.md	
@@ -175,7 +175,7 @@ float4 PS_Good(VSOut v) : SV_TARGET {
 - 부모: [[Rendering-Pipeline]]
 - 변형: [[Depth Pre-Pass|Early-Z]] · [[Hi-Z]]
 - 응용: [[Deferred-Rendering]]
-- Adjacent: [[Overdraw]] · [[Compute-Shader]]
+- Adjacent: [[Overdraw]] · [[Compute Shader (WebGPU)]]
 
 ## 🤖 LLM 활용
 **언제**: 매 PBR-heavy desktop. 매 dense scene. 매 fill-rate-bound.
diff --git a/10_Wiki/Topics/AI_and_ML/Development Communication Standards.md b/10_Wiki/Topics/AI_and_ML/Development Communication Standards.md
index d03ecf2e..9c67deb0 100644
--- a/10_Wiki/Topics/AI_and_ML/Development Communication Standards.md	
+++ b/10_Wiki/Topics/AI_and_ML/Development Communication Standards.md	
@@ -237,7 +237,7 @@ SECRET_KEY env var renamed in v2.3.1 but deploy config not updated.
 ## 🔗 Graph
 - 부모: [[DevOps]]
 - 변형: [[Conventional-Commits]] · [[ADR]] · [[RFC]]
-- 응용: [[Code-Review]] · [[CI-CD]]
+- 응용: [[Code-Review]] · [[CI CD]]
 - Adjacent: [[Postmortem-Culture]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Diagrams_as_Code.md b/10_Wiki/Topics/AI_and_ML/Diagrams_as_Code.md
index 764f69a9..413017d6 100644
--- a/10_Wiki/Topics/AI_and_ML/Diagrams_as_Code.md
+++ b/10_Wiki/Topics/AI_and_ML/Diagrams_as_Code.md
@@ -257,7 +257,7 @@ const compare = {
 - 부모: [[Architecture-Documentation]]
 - 변형: [[Mermaid]] · [[PlantUML]] · [[Structurizr]] · [[D2]]
 - 응용: [[C4_Model]] · [[ADR]] · [[Codebase_Maps_and_Interactive_Tours]]
-- Adjacent: [[Connect-AI-Documentation]] · [[Codebase_Onboarding_Guide]] · [[Architecture-Styles]]
+- Adjacent: [[Connect-AI-Documentation]] · [[Codebase_Onboarding_Guide]] · [[Software Architecture Styles]]
 
 ## 🤖 LLM 활용
 **언제**: 매 architecture doc. 매 sequence diagram. 매 onboarding. 매 living doc.
@@ -273,7 +273,7 @@ const compare = {
 ## 🧪 검증 / 중복
 - Verified (Mermaid docs, PlantUML docs, Structurizr by Simon Brown, D2lang).
 - 신뢰도 A.
-- Related: [[C4_Model]] · [[ADR]] · [[Codebase_Maps_and_Interactive_Tours]] · [[Architecture-Styles]] · [[Connect-AI-Documentation]].
+- Related: [[C4_Model]] · [[ADR]] · [[Codebase_Maps_and_Interactive_Tours]] · [[Software Architecture Styles]] · [[Connect-AI-Documentation]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Differentiable Programming.md b/10_Wiki/Topics/AI_and_ML/Differentiable Programming.md
index 9e3fe961..e83f658d 100644
--- a/10_Wiki/Topics/AI_and_ML/Differentiable Programming.md	
+++ b/10_Wiki/Topics/AI_and_ML/Differentiable Programming.md	
@@ -267,7 +267,7 @@ gradients = loss_fn(params, x, y)
 **기본값**: PyTorch (default) + JAX (research) + Gumbel-Softmax (discrete).
 
 ## 🔗 Graph
-- 부모: [[Deep-Learning]] · [[Optimization]]
+- 부모: [[Deep Learning]] · [[Optimization]]
 - 변형: [[Software-2-0]] · [[Auto-grad]]
 - 응용: [[JAX]] · [[NEAT]]
 - 매 trick: [[Gumbel-Softmax]]
@@ -286,7 +286,7 @@ gradients = loss_fn(params, x, y)
 ## 🧪 검증 / 중복
 - Verified (Karpathy "Software 2.0", JAX docs, PyTorch docs, Brax / PyTorch3D papers).
 - 신뢰도 A.
-- Related: [[Bayesian-Optimization]] · [[Computational_Creativity|Computational-Creativity]] · [[Reinforcement-Learning]] · [[Cross-Entropy Loss]] · [[Deep-Learning]].
+- Related: [[Bayesian-Optimization]] · [[Computational_Creativity|Computational-Creativity]] · [[Reinforcement-Learning]] · [[Cross-Entropy Loss]] · [[Deep Learning]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Dimensionality-Reduction.md b/10_Wiki/Topics/AI_and_ML/Dimensionality-Reduction.md
index 407445b1..a8415506 100644
--- a/10_Wiki/Topics/AI_and_ML/Dimensionality-Reduction.md
+++ b/10_Wiki/Topics/AI_and_ML/Dimensionality-Reduction.md
@@ -268,7 +268,7 @@ def viz_compare(X, labels):
 - 부모: [[Feature Engineering|Feature-Engineering]]
 - 변형: [[PCA]] · [[t-SNE]] · [[UMAP]] · [[Autoencoder]] · [[VAE]]
 - 응용: [[CLIP]] · [[Sentence-Transformers]] · [[Faiss]] · [[Anomaly-Detection]]
-- Adjacent: [[Auto-Encoding]] · [[Bag of Words (BoW)]] · [[Bias-vs-Variance]]
+- Adjacent: [[Auto-Encoding]] · [[Bag of Words (BoW)]] · [[Bias vs Variance Trade-off]]
 
 ## 🤖 LLM 활용
 **언제**: 매 visualization. 매 vector DB. 매 cluster preprocessing. 매 anomaly detection.
@@ -284,7 +284,7 @@ def viz_compare(X, labels):
 ## 🧪 검증 / 중복
 - Verified (Jolliffe PCA, van der Maaten t-SNE, McInnes UMAP).
 - 신뢰도 A.
-- Related: [[Auto-Encoding]] · [[Bag of Words (BoW)]] · [[CLIP]] · [[Sentence-Transformers]] · [[Bias-vs-Variance]].
+- Related: [[Auto-Encoding]] · [[Bag of Words (BoW)]] · [[CLIP]] · [[Sentence-Transformers]] · [[Bias vs Variance Trade-off]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Distributed-Systems.md b/10_Wiki/Topics/AI_and_ML/Distributed-Systems.md
index cc65aa2e..07031812 100644
--- a/10_Wiki/Topics/AI_and_ML/Distributed-Systems.md
+++ b/10_Wiki/Topics/AI_and_ML/Distributed-Systems.md
@@ -310,10 +310,10 @@ class ChaosMonkey:
 
 ## 🔗 Graph
 - 부모: [[Software-Architecture]] · [[System-Design]]
-- 변형: [[CAP-Theorem]] · [[PACELC]] · [[Microservices]] · [[Service-Mesh]] · [[CRDT]]
+- 변형: [[CAP-Theorem]] · [[PACELC]] · [[Microservices]] · [[Service Mesh]] · [[CRDT]]
 - 응용: [[Raft]] · [[Paxos]] · [[Saga]] · [[Outbox]] · [[Circuit-Breaker]]
 - Tools: [[Kafka]] · [[Cassandra]] · [[etcd]] · [[Spanner]] · [[Kubernetes]]
-- Adjacent: [[Availability-and-Persistence]] · [[Architecture-Styles]] · [[Bottlenecks]] · [[Antifragility]]
+- Adjacent: [[Availability-and-Persistence]] · [[Software Architecture Styles]] · [[Bottlenecks]] · [[Antifragility]]
 
 ## 🤖 LLM 활용
 **언제**: 매 system design. 매 scalability planning. 매 reliability engineering. 매 multi-region.
@@ -331,7 +331,7 @@ class ChaosMonkey:
 ## 🧪 검증 / 중복
 - Verified (Kleppmann "DDIA", Raft paper, Paxos paper, Google papers).
 - 신뢰도 A.
-- Related: [[CAP-Theorem]] · [[Availability-and-Persistence]] · [[Architecture-Styles]] · [[Bottlenecks]] · [[Bounded-Contexts]] · [[Antifragility]].
+- Related: [[CAP-Theorem]] · [[Availability-and-Persistence]] · [[Software Architecture Styles]] · [[Bottlenecks]] · [[Bounded Contexts (DDD)]] · [[Antifragility]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Domain Objects.md b/10_Wiki/Topics/AI_and_ML/Domain Objects.md
index 22eeeb07..15685425 100644
--- a/10_Wiki/Topics/AI_and_ML/Domain Objects.md	
+++ b/10_Wiki/Topics/AI_and_ML/Domain Objects.md	
@@ -26,7 +26,7 @@ github_commit: pending
 
 ## 🔗 Graph
 - 부모: [[Anaemic Domain Model]] (canonical)
-- Adjacent: [[Bounded Contexts]] · [[Architecture-Styles]] · [[Clean-Code-Principles]] · [[SOLID]] · [[Dependency_Injection_(DI)]]
+- Adjacent: [[Bounded Contexts]] · [[Software Architecture Styles]] · [[Clean-Code-Principles]] · [[SOLID]] · [[Dependency_Injection_(DI)]]
 
 ## 🕓 변경 이력
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Domain-Specific-Languages.md b/10_Wiki/Topics/AI_and_ML/Domain-Specific-Languages.md
index f5992e35..c5ccfffa 100644
--- a/10_Wiki/Topics/AI_and_ML/Domain-Specific-Languages.md
+++ b/10_Wiki/Topics/AI_and_ML/Domain-Specific-Languages.md
@@ -326,7 +326,7 @@ class CompiledDSL:
 ## 🔗 Graph
 - 변형: [[External-DSL]] · [[Internal-DSL]] · [[Fluent-API]]
 - 응용: [[SQL]] · [[Terraform]] · [[Diagrams_as_Code]]
-- Adjacent: [[Bounded-Contexts]] · [[Domain-Driven-Design]] · [[Articulateness]] · [[Be-Detailed]] · [[Container_Queries]] (CSS DSL)
+- Adjacent: [[Bounded Contexts (DDD)]] · [[Domain-Driven-Design]] · [[Articulateness]] · [[Be-Detailed]] · [[Container_Queries]] (CSS DSL)
 
 ## 🤖 LLM 활용
 **언제**: 매 internal API design. 매 NL-to-DSL system. 매 IaC. 매 BDD.
@@ -342,7 +342,7 @@ class CompiledDSL:
 ## 🧪 검증 / 중복
 - Verified (Fowler "DSLs", PoEAA, ANTLR / Tree-sitter docs).
 - 신뢰도 A.
-- Related: [[Bounded-Contexts]] · [[Articulateness]] · [[Diagrams_as_Code]] · [[Custom-ESLint-Rules-Development]] · [[Be-Detailed]].
+- Related: [[Bounded Contexts (DDD)]] · [[Articulateness]] · [[Diagrams_as_Code]] · [[Custom-ESLint-Rules-Development]] · [[Be-Detailed]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Dopaminergic Reward System.md b/10_Wiki/Topics/AI_and_ML/Dopaminergic Reward System.md
index 271594c1..21ac4977 100644
--- a/10_Wiki/Topics/AI_and_ML/Dopaminergic Reward System.md	
+++ b/10_Wiki/Topics/AI_and_ML/Dopaminergic Reward System.md	
@@ -20,7 +20,7 @@ github_commit: pending
 
 ## 🔗 Graph
 - 부모: [[Computational-Neuroscience-RL]] (canonical)
-- Adjacent: [[Addiction-Neuroscience]] · [[Brain-Derived Neurotrophic Factor (BDNF)]] · [[Dopaminergic Reward Systems]]
+- Adjacent: [[Addiction Neuroscience]] · [[Brain-Derived Neurotrophic Factor (BDNF)]] · [[Dopaminergic Reward Systems]]
 
 ## 🕓 변경 이력
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Dopaminergic Reward Systems.md b/10_Wiki/Topics/AI_and_ML/Dopaminergic Reward Systems.md
index 7856a95b..dda766c1 100644
--- a/10_Wiki/Topics/AI_and_ML/Dopaminergic Reward Systems.md	
+++ b/10_Wiki/Topics/AI_and_ML/Dopaminergic Reward Systems.md	
@@ -27,7 +27,7 @@ github_commit: pending
 
 ## 🔗 Graph
 - 부모: [[Computational-Neuroscience-RL]] (canonical)
-- Adjacent: [[Addiction-Neuroscience]] · [[Brain-Derived Neurotrophic Factor (BDNF)]] · [[Bayesian-Brain-Hypothesis]] · [[Cognitive-Evaluation-Theory]]
+- Adjacent: [[Addiction Neuroscience]] · [[Brain-Derived Neurotrophic Factor (BDNF)]] · [[Bayesian-Brain-Hypothesis]] · [[Cognitive-Evaluation-Theory]]
 
 ## 🕓 변경 이력
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Dry-Principle.md b/10_Wiki/Topics/AI_and_ML/Dry-Principle.md
index 864c0894..4bbe563a 100644
--- a/10_Wiki/Topics/AI_and_ML/Dry-Principle.md
+++ b/10_Wiki/Topics/AI_and_ML/Dry-Principle.md
@@ -208,7 +208,7 @@ class UserDTO_B: id: str; email: str
 
 ## 🔗 Graph
 - 부모: [[Software-Engineering-Principles]] · [[Clean-Code]]
-- 변형: [[AHA]] · [[Rule-of-Three]] · [[Single-Source-of-Truth]]
+- 변형: [[AHA]] · [[Rule of Three]] · [[Single Source of Truth (SSoT)]]
 - 응용: [[Refactoring_Best_Practices|Refactoring]] · [[Codegen]]
 - Adjacent: [[SOLID]] · [[YAGNI]] · [[KISS]] · [[Conventional-Commits]]
 
diff --git a/10_Wiki/Topics/AI_and_ML/E-commerce-Optimization.md b/10_Wiki/Topics/AI_and_ML/E-commerce-Optimization.md
index a08098de..cad60531 100644
--- a/10_Wiki/Topics/AI_and_ML/E-commerce-Optimization.md
+++ b/10_Wiki/Topics/AI_and_ML/E-commerce-Optimization.md
@@ -237,7 +237,7 @@ def upsell(order, catalog):
 - 부모: [[E-commerce]]
 - 변형: [[CRO]] · [[Funnel-Optimization]]
 - 응용: [[Recommender-Systems]] · [[Dynamic Pricing & Offers]]
-- Adjacent: [[Dynamic-Creative-Optimization]] · [[Core Web Vitals Optimization (INP, LCP 개선)|Core-Web-Vitals]]
+- Adjacent: [[Dynamic-Creative-Optimization]] · [[Core Web Vitals Optimization (INP, LCP, CLS)|Core-Web-Vitals]]
 
 ## 🤖 LLM 활용
 **언제**: 매 e-commerce site. 매 marketplace. 매 DTC.
diff --git a/10_Wiki/Topics/AI_and_ML/ESLint-Static-Analysis.md b/10_Wiki/Topics/AI_and_ML/ESLint-Static-Analysis.md
index bc16f7be..ff5e63c4 100644
--- a/10_Wiki/Topics/AI_and_ML/ESLint-Static-Analysis.md
+++ b/10_Wiki/Topics/AI_and_ML/ESLint-Static-Analysis.md
@@ -207,7 +207,7 @@ Output JS module with meta + create."""
 ## 🔗 Graph
 - 부모: [[Static-Analysis]] · [[Code-Quality]]
 - 변형: [[Custom-ESLint-Rules-Development]] · [[Biome]] · [[oxlint]]
-- 응용: [[CI-CD]]
+- 응용: [[CI CD]]
 - Adjacent: [[Prettier]] · [[TypeScript]] · [[Corgea]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Ecology and Ecosystem Modeling.md b/10_Wiki/Topics/AI_and_ML/Ecology and Ecosystem Modeling.md
index c950779f..549be1e2 100644
--- a/10_Wiki/Topics/AI_and_ML/Ecology and Ecosystem Modeling.md	
+++ b/10_Wiki/Topics/AI_and_ML/Ecology and Ecosystem Modeling.md	
@@ -227,9 +227,9 @@ Si = sobol.analyze(problem, Y)
 **기본값**: 매 question-driven — 매 quick population → ODE; 매 behavioral → ABM; 매 modern data → ML SDM.
 
 ## 🔗 Graph
-- 부모: [[Systems-Biology]]
+- 부모: [[Systems Biology]]
 - 변형: [[Lotka-Volterra]] · [[Food-Web]]
-- Adjacent: [[Cellular-Automata]]
+- Adjacent: [[Cellular Automata]]
 
 ## 🤖 LLM 활용
 **언제**: 매 conservation. 매 invasive species. 매 climate adaptation.
diff --git a/10_Wiki/Topics/AI_and_ML/Eligibility-Traces.md b/10_Wiki/Topics/AI_and_ML/Eligibility-Traces.md
index 172f4c8b..8f5a755a 100644
--- a/10_Wiki/Topics/AI_and_ML/Eligibility-Traces.md
+++ b/10_Wiki/Topics/AI_and_ML/Eligibility-Traces.md
@@ -213,7 +213,7 @@ def true_online_step(self, s, r, s_next, done):
 - 부모: [[Reinforcement-Learning]] · [[TD-Learning]]
 - 변형: [[TD-Lambda]] · [[GAE]]
 - 응용: [[PPO]] · [[A2C]] · [[Actor-Critic]]
-- Adjacent: [[Bias-Variance-Trade-off]] · [[Credit-Assignment]]
+- Adjacent: [[Bias-Variance Tradeoff]] · [[Credit-Assignment]]
 
 ## 🤖 LLM 활용
 **언제**: 매 RL credit assignment. 매 actor-critic. 매 sparse reward.
diff --git a/10_Wiki/Topics/AI_and_ML/Emergence-in-Complex-Systems.md b/10_Wiki/Topics/AI_and_ML/Emergence-in-Complex-Systems.md
index 03e5c7b7..f436caab 100644
--- a/10_Wiki/Topics/AI_and_ML/Emergence-in-Complex-Systems.md
+++ b/10_Wiki/Topics/AI_and_ML/Emergence-in-Complex-Systems.md
@@ -215,9 +215,9 @@ def is_emergent(model_sizes, accuracies, metric='step'):
 **기본값**: 매 ABM + 매 phase transition 의 detect + 매 emergent 의 careful (metric artifact). 매 rules 의 simple 의 prefer.
 
 ## 🔗 Graph
-- 부모: [[Complex-Systems]] · [[Systems_Thinking|Systems-Thinking]]
+- 부모: [[Complex Systems]] · [[Systems_Thinking|Systems-Thinking]]
 - 변형: [[Self-Organization]]
-- 응용: [[Swarm_Intelligence|Swarm-Intelligence]] · [[Cellular-Automata]]
+- 응용: [[Swarm_Intelligence|Swarm-Intelligence]] · [[Cellular Automata]]
 - Adjacent: [[Cybernetics Foundations|Cybernetics]] · [[Computational_Creativity|Computational-Creativity]] · [[Drama Management Systems]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Emotional-AI (Affective Computing).md b/10_Wiki/Topics/AI_and_ML/Emotional-AI (Affective Computing).md
index 85d6fded..fdc26ef7 100644
--- a/10_Wiki/Topics/AI_and_ML/Emotional-AI (Affective Computing).md	
+++ b/10_Wiki/Topics/AI_and_ML/Emotional-AI (Affective Computing).md	
@@ -205,7 +205,7 @@ def on_device_emotion(frame, local_model):
 **기본값**: 매 task-specific modality + 매 cultural calibration + 매 privacy on-device + 매 LLM augment + 매 ethical disclosure.
 
 ## 🔗 Graph
-- 부모: [[AI]] · [[Human-Computer-Interaction]]
+- 부모: [[AI]] · [[Human Computer Interaction]]
 - 변형: [[Sentiment-Analysis]] · [[FER]] · [[Emotional-AI (Affective Computing)|Empathy-in-AI]]
 - Adjacent: [[Multimodal-LLM]] · [[Drama Management Systems]] · [[Dynamic Difficulty Adjustment (DDA)]] · [[EU-AI-Act]]
 
diff --git a/10_Wiki/Topics/AI_and_ML/Encapsulation-of-Domain-Invariants.md b/10_Wiki/Topics/AI_and_ML/Encapsulation-of-Domain-Invariants.md
index 8332d5c2..b9e4893a 100644
--- a/10_Wiki/Topics/AI_and_ML/Encapsulation-of-Domain-Invariants.md
+++ b/10_Wiki/Topics/AI_and_ML/Encapsulation-of-Domain-Invariants.md
@@ -263,7 +263,7 @@ function transfer(from: UserId, to: UserId, amount: Money) { ... }
 - 부모: [[Domain-Driven-Design]] · [[Encapsulation-and-Information-Hiding]]
 - 변형: [[Value-Object]] · [[Aggregate]] · [[Smart-Constructor]]
 - 응용: [[Type-Driven-Design]] · [[Branded-Types]]
-- Adjacent: [[Anaemic Domain Model]] · [[Parse-Dont-Validate]] · [[Refinement-Type]] · [[Result-Type]]
+- Adjacent: [[Anaemic Domain Model]] · [[Parse, Don't Validate]] · [[Refinement-Type]] · [[Result Type]]
 
 ## 🤖 LLM 활용
 **언제**: 매 domain-rich. 매 type-safe API. 매 critical invariant.
diff --git a/10_Wiki/Topics/AI_and_ML/Enterprise-Software-Engineering.md b/10_Wiki/Topics/AI_and_ML/Enterprise-Software-Engineering.md
index 5febf56c..1e7e0f1e 100644
--- a/10_Wiki/Topics/AI_and_ML/Enterprise-Software-Engineering.md
+++ b/10_Wiki/Topics/AI_and_ML/Enterprise-Software-Engineering.md
@@ -246,9 +246,9 @@ ai_policy:
 **기본값**: 매 platform IDP + 매 GitOps + 매 SLO + 매 DORA tracking + 매 trunk-based + 매 ADR.
 
 ## 🔗 Graph
-- 변형: [[Platform-Engineering]] · [[CI_CD 파이프라인 및 IDE 통합 보안|DevSecOps]] · [[SRE]]
-- 응용: [[Microservices]] · [[Modular-Monolith]] · [[GitOps]]
-- Adjacent: [[Team-Topologies]] · [[DORA]] · [[Backstage]] · [[ArgoCD]] · [[Development Communication Standards]]
+- 변형: [[Platform-Engineering]] · [[CI/CD Pipeline & IDE Security Integration|DevSecOps]] · [[SRE]]
+- 응용: [[Microservices]] · [[Modular Monolith]] · [[GitOps]]
+- Adjacent: [[Team Topologies]] · [[DORA]] · [[Backstage]] · [[ArgoCD]] · [[Development Communication Standards]]
 
 ## 🤖 LLM 활용
 **언제**: 매 large org. 매 regulated industry. 매 long-lived system.
diff --git a/10_Wiki/Topics/AI_and_ML/Epidemiological-Modeling.md b/10_Wiki/Topics/AI_and_ML/Epidemiological-Modeling.md
index 53ded37e..1d524b43 100644
--- a/10_Wiki/Topics/AI_and_ML/Epidemiological-Modeling.md
+++ b/10_Wiki/Topics/AI_and_ML/Epidemiological-Modeling.md
@@ -232,7 +232,7 @@ def forecast_cases(history, window=14, horizon=7):
 
 ## 🔗 Graph
 - 변형: [[SEIR]] · [[Compartmental-Model]]
-- Adjacent: [[Bayesian-Inference]]
+- Adjacent: [[Bayesian Inference]]
 
 ## 🤖 LLM 활용
 **언제**: 매 outbreak. 매 vaccination plan. 매 hospital capacity.
diff --git a/10_Wiki/Topics/AI_and_ML/Epistemic-Uncertainty.md b/10_Wiki/Topics/AI_and_ML/Epistemic-Uncertainty.md
index 14b51119..7e946fab 100644
--- a/10_Wiki/Topics/AI_and_ML/Epistemic-Uncertainty.md
+++ b/10_Wiki/Topics/AI_and_ML/Epistemic-Uncertainty.md
@@ -217,7 +217,7 @@ def fit_temperature(logits, labels):
 
 ## 🔗 Graph
 - 부모: [[Probability]] · [[Statistics]]
-- 응용: [[Active-Learning]] · [[OOD-Detection]] · [[Bayesian-Optimization]]
+- 응용: [[Active Learning]] · [[OOD-Detection]] · [[Bayesian-Optimization]]
 - Adjacent: [[Ensemble-Methods]] · [[Epistemology]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Epistemology.md b/10_Wiki/Topics/AI_and_ML/Epistemology.md
index c390f69b..752846a7 100644
--- a/10_Wiki/Topics/AI_and_ML/Epistemology.md
+++ b/10_Wiki/Topics/AI_and_ML/Epistemology.md
@@ -213,7 +213,7 @@ def solomonoff_prior(hypothesis):
 
 ## 🔗 Graph
 - 부모: [[Philosophy]]
-- 응용: [[AI-Safety]] · [[Hallucination]] · [[RAG]]
+- 응용: [[AI Safety]] · [[Hallucination]] · [[RAG]]
 - Adjacent: [[Epistemic-Uncertainty]] · [[Knowledge-Graphs]] · [[TruthfulQA]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Ethics & AI.md b/10_Wiki/Topics/AI_and_ML/Ethics & AI.md
index 7c64452a..6a3f6800 100644
--- a/10_Wiki/Topics/AI_and_ML/Ethics & AI.md	
+++ b/10_Wiki/Topics/AI_and_ML/Ethics & AI.md	
@@ -254,7 +254,7 @@ class AIIncident:
 
 ## 🔗 Graph
 - 부모: [[AI]]
-- 변형: [[AI-Safety]] · [[AI_Safety_and_Alignment|AI-Alignment]] · [[Algorithmic-Fairness]] · [[Ethics & AI|Ethics of Autonomous Systems]]
+- 변형: [[AI Safety]] · [[AI_Safety_and_Alignment|AI-Alignment]] · [[Algorithmic Fairness]] · [[Ethics & AI|Ethics of Autonomous Systems]]
 - 응용: [[EU-AI-Act]] · [[NIST-AI-RMF]] · [[AI_Safety_and_Alignment|Constitutional-AI]]
 - Adjacent: [[Differential-Privacy]] · [[RLHF]]
 
diff --git a/10_Wiki/Topics/AI_and_ML/Ethics of Autonomous Systems.md b/10_Wiki/Topics/AI_and_ML/Ethics of Autonomous Systems.md
index 0b807d14..421334ce 100644
--- a/10_Wiki/Topics/AI_and_ML/Ethics of Autonomous Systems.md	
+++ b/10_Wiki/Topics/AI_and_ML/Ethics of Autonomous Systems.md	
@@ -28,7 +28,7 @@ github_commit: pending
 
 ## 🔗 Graph
 - 부모: [[Ethics & AI]] (canonical)
-- Adjacent: [[Dynamic-Environment-Handling]] · [[Embodied-AI]] · [[AI-Safety]]
+- Adjacent: [[Dynamic-Environment-Handling]] · [[Embodied-AI]] · [[AI Safety]]
 
 ## 🕓 변경 이력
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Executive-Function-Deficit.md b/10_Wiki/Topics/AI_and_ML/Executive-Function-Deficit.md
index bfcc01f7..cae8627b 100644
--- a/10_Wiki/Topics/AI_and_ML/Executive-Function-Deficit.md
+++ b/10_Wiki/Topics/AI_and_ML/Executive-Function-Deficit.md
@@ -215,7 +215,7 @@ def stack_habit(existing, new):
 - 부모: [[Neuropsychology]]
 - 변형: [[ADHD]]
 - 응용: [[Cognitive-Behavioral-Therapy]]
-- Adjacent: [[Default Mode Network (DMN)]] · [[Working-Memory]]
+- Adjacent: [[Default Mode Network (DMN)]] · [[Working Memory]]
 
 ## 🤖 LLM 활용
 **언제**: 매 coaching / accommodation. 매 productivity tool. 매 AI tutor.
diff --git a/10_Wiki/Topics/AI_and_ML/Exhaustiveness-Checking.md b/10_Wiki/Topics/AI_and_ML/Exhaustiveness-Checking.md
index 7823c0c6..73576575 100644
--- a/10_Wiki/Topics/AI_and_ML/Exhaustiveness-Checking.md
+++ b/10_Wiki/Topics/AI_and_ML/Exhaustiveness-Checking.md
@@ -224,7 +224,7 @@ match (state, action) {
 ## 🔗 Graph
 - 부모: [[TypeScript 타입 시스템 (TypeScript Type System)|Type-System]] · [[Static-Analysis]]
 - 변형: [[Discriminated-Union]] · [[Sealed-Class]] · [[Pattern-Matching]]
-- 응용: [[State-Machine]] · [[Result-Type]]
+- 응용: [[State-Machine]] · [[Result Type]]
 - Adjacent: [[Encapsulation-of-Domain-Invariants]] · [[Type-Driven-Design]] · [[Never-Type]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Experience-Replay.md b/10_Wiki/Topics/AI_and_ML/Experience-Replay.md
index c8f1f145..f53c3760 100644
--- a/10_Wiki/Topics/AI_and_ML/Experience-Replay.md
+++ b/10_Wiki/Topics/AI_and_ML/Experience-Replay.md
@@ -233,7 +233,7 @@ def anneal_beta(step, total_steps, start=0.4, end=1.0):
 ## 🔗 Graph
 - 부모: [[Reinforcement-Learning]]
 - 변형: [[Experience-Replay|Prioritized-Experience-Replay]]
-- 응용: [[데이터_사이언스_및_ML_엔지니어링|DQN]]
+- 응용: [[데이터 사이언스 및 ML 엔지니어링|DQN]]
 - Adjacent: [[Eligibility-Traces]] · [[Catastrophic-Forgetting]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Explainable-AI-XAI.md b/10_Wiki/Topics/AI_and_ML/Explainable-AI-XAI.md
index 196f3481..0ce903fe 100644
--- a/10_Wiki/Topics/AI_and_ML/Explainable-AI-XAI.md
+++ b/10_Wiki/Topics/AI_and_ML/Explainable-AI-XAI.md
@@ -219,7 +219,7 @@ Output:
 ## 🔗 Graph
 - 부모: [[AI]] · [[Interpretability]]
 - 변형: [[SHAP]] · [[LIME]] · [[Mechanistic-Interpretability]]
-- 응용: [[Model-Card]] · [[EU-AI-Act]] · [[AI-Safety]]
+- 응용: [[Model-Card]] · [[EU-AI-Act]] · [[AI Safety]]
 - Adjacent: [[Sparse-Autoencoder]] · [[Ethics & AI]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Exploding-Gradient Problem.md b/10_Wiki/Topics/AI_and_ML/Exploding-Gradient Problem.md
index 9c36dd4f..6703292f 100644
--- a/10_Wiki/Topics/AI_and_ML/Exploding-Gradient Problem.md	
+++ b/10_Wiki/Topics/AI_and_ML/Exploding-Gradient Problem.md	
@@ -212,9 +212,9 @@ def tbptt_train(model, sequence, chunk=20):
 **기본값**: 매 grad clip 1.0 + 매 He init + 매 LayerNorm + 매 LR warmup + 매 NaN guard.
 
 ## 🔗 Graph
-- 부모: [[Deep-Learning]] · [[Optimization]]
+- 부모: [[Deep Learning]] · [[Optimization]]
 - 변형: [[Gradient-Clipping]]
-- 응용: [[데이터_사이언스_및_ML_엔지니어링|RNN]] · [[Transformer]] · [[Generative-Adversarial-Networks|GAN]]
+- 응용: [[데이터 사이언스 및 ML 엔지니어링|RNN]] · [[Transformer]] · [[Generative-Adversarial-Networks|GAN]]
 - Adjacent: [[LayerNorm]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Extended-Reality-XR.md b/10_Wiki/Topics/AI_and_ML/Extended-Reality-XR.md
index e648dcc3..b6b6bb50 100644
--- a/10_Wiki/Topics/AI_and_ML/Extended-Reality-XR.md
+++ b/10_Wiki/Topics/AI_and_ML/Extended-Reality-XR.md
@@ -238,7 +238,7 @@ void OnVR() { passthrough.enabled = false; }
 
 ## 🔗 Graph
 - 부모: [[Computer-Graphics]] · [[HCI]]
-- 변형: [[VR]] · [[AR]] · [[MR]] · [[Spatial-Computing]]
+- 변형: [[VR]] · [[AR]] · [[MR]] · [[Spatial Computing]]
 - 응용: [[Vision-Pro]] · [[Quest]] · [[WebXR]]
 - Adjacent: [[Gaussian-Splatting]] · [[NeRF]] · [[Embodied-AI]]
 
diff --git a/10_Wiki/Topics/AI_and_ML/Extreme-Programming-XP.md b/10_Wiki/Topics/AI_and_ML/Extreme-Programming-XP.md
index e988f34c..f265893b 100644
--- a/10_Wiki/Topics/AI_and_ML/Extreme-Programming-XP.md
+++ b/10_Wiki/Topics/AI_and_ML/Extreme-Programming-XP.md
@@ -218,7 +218,7 @@ return total * (1 + TAX_RATE);
 ## 🔗 Graph
 - 부모: [[Agile]]
 - 변형: [[Scrum]] · [[Kanban]] · [[Mob-Programming]]
-- 응용: [[TDD]] · [[CI-CD]] · [[Pair-Programming]] · [[Refactoring_Best_Practices|Refactoring]]
+- 응용: [[TDD]] · [[CI CD]] · [[Pair-Programming]] · [[Refactoring_Best_Practices|Refactoring]]
 - Adjacent: [[Trunk-Based-Development]] · [[Development Communication Standards]] · [[Enterprise-Software-Engineering]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Factor-Analysis.md b/10_Wiki/Topics/AI_and_ML/Factor-Analysis.md
index 866c70f5..e5ca7ab7 100644
--- a/10_Wiki/Topics/AI_and_ML/Factor-Analysis.md
+++ b/10_Wiki/Topics/AI_and_ML/Factor-Analysis.md
@@ -199,7 +199,7 @@ with pm.Model() as bfa:
 ## 🔗 Graph
 - 부모: [[Statistics]]
 - 변형: [[EFA]] · [[CFA]] · [[SEM]]
-- 응용: [[Big-Five]]
+- 응용: [[Big Five]]
 - Adjacent: [[PCA]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Figma Integration.md b/10_Wiki/Topics/AI_and_ML/Figma Integration.md
index 75dbb9ae..b4dc966c 100644
--- a/10_Wiki/Topics/AI_and_ML/Figma Integration.md	
+++ b/10_Wiki/Topics/AI_and_ML/Figma Integration.md	
@@ -237,7 +237,7 @@ module.exports = {
 ## 🔗 Graph
 - 부모: [[Design-System]]
 - 변형: [[Design-Tokens]]
-- 응용: [[Storybook]] · [[Style-Dictionary]] · [[Tailwind]]
+- 응용: [[Storybook]] · [[Style Dictionary]] · [[Tailwind]]
 - Adjacent: [[Web-Components]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Flash Attention.md b/10_Wiki/Topics/AI_and_ML/Flash Attention.md
index ece82fa1..befffb0b 100644
--- a/10_Wiki/Topics/AI_and_ML/Flash Attention.md	
+++ b/10_Wiki/Topics/AI_and_ML/Flash Attention.md	
@@ -205,8 +205,8 @@ python -m vllm.entrypoints.openai.api_server \
 **기본값**: 매 PyTorch sdpa + 매 vLLM serving + 매 GQA + 매 paged KV cache + 매 H100 FA3.
 
 ## 🔗 Graph
-- 부모: [[Transformer]] · [[Attention-Mechanism]]
-- 변형: [[Paged-Attention]] · [[Sliding-Window]] · [[GQA]]
+- 부모: [[Transformer]] · [[Attention Mechanism]]
+- 변형: [[PagedAttention]] · [[Sliding-Window]] · [[GQA]]
 - 응용: [[LLM_Optimization_and_Deployment_Strategies|vLLM]] · [[Long-Context]]
 - Adjacent: [[LLM_Optimization_and_Deployment_Strategies|Quantization]] · [[Foundation-Models]]
 
diff --git a/10_Wiki/Topics/AI_and_ML/Flexbox.md b/10_Wiki/Topics/AI_and_ML/Flexbox.md
index a5b3a0ed..def27d83 100644
--- a/10_Wiki/Topics/AI_and_ML/Flexbox.md
+++ b/10_Wiki/Topics/AI_and_ML/Flexbox.md
@@ -240,8 +240,8 @@ const Flex = styled.div`
 
 ## 🔗 Graph
 - 부모: [[Layout]]
-- 변형: [[CSS-Grid]] · [[Container-Queries]]
-- 응용: [[Responsive-Design]] · [[Tailwind-CSS]]
+- 변형: [[CSS Grid]] · [[Container-Queries]]
+- 응용: [[Responsive-Design]] · [[Tailwind CSS]]
 - Adjacent: [[Subgrid]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Focal-Loss.md b/10_Wiki/Topics/AI_and_ML/Focal-Loss.md
index 84abc8a0..1087c3e8 100644
--- a/10_Wiki/Topics/AI_and_ML/Focal-Loss.md
+++ b/10_Wiki/Topics/AI_and_ML/Focal-Loss.md
@@ -207,7 +207,7 @@ def eval_imbalanced(probs, targets):
 ## 🔗 Graph
 - 부모: [[Loss-Function]] · [[Object-Detection]]
 - 응용: [[RetinaNet]]
-- Adjacent: [[Cross-Entropy-Loss]]
+- Adjacent: [[Cross-Entropy Loss]]
 
 ## 🤖 LLM 활용
 **언제**: 매 detection. 매 imbalanced. 매 medical.
diff --git a/10_Wiki/Topics/AI_and_ML/Foundation-Models.md b/10_Wiki/Topics/AI_and_ML/Foundation-Models.md
index d32190d0..8eaa5be5 100644
--- a/10_Wiki/Topics/AI_and_ML/Foundation-Models.md
+++ b/10_Wiki/Topics/AI_and_ML/Foundation-Models.md
@@ -232,7 +232,7 @@ Output JSON: {{"score": 0-10, "rationale": "..."}}"""
 **기본값**: 매 Frontier API for quality + 매 OSS for cost / control + 매 multimodal where needed + 매 RAG + 매 prompt caching.
 
 ## 🔗 Graph
-- 부모: [[AI]] · [[Deep-Learning]]
+- 부모: [[AI]] · [[Deep Learning]]
 - 변형: [[Transformer_Architecture_and_LLM_Foundations|LLM]] · [[VLM]] · [[Multimodal-LLM]] · [[Embodied-AI]]
 - 응용: [[Fine-tuning]] · [[RAG]] · [[Prompt_Engineering|Prompt-Engineering]] · [[Agent]]
 - Adjacent: [[Scaling-Laws]] · [[Mixture-of-Experts]] · [[Flash Attention]] · [[Edge-AI-and-Computing]]
diff --git a/10_Wiki/Topics/AI_and_ML/GNN.md b/10_Wiki/Topics/AI_and_ML/GNN.md
index 42d58bd7..7a0828ac 100644
--- a/10_Wiki/Topics/AI_and_ML/GNN.md
+++ b/10_Wiki/Topics/AI_and_ML/GNN.md
@@ -254,7 +254,7 @@ explanation = explainer(data.x, data.edge_index, target=label)
 **기본값**: 매 PyG + 매 GCN/GAT baseline + 매 sampling for large + 매 EGNN for geometry + 매 explainer.
 
 ## 🔗 Graph
-- 부모: [[Deep-Learning]] · [[Graph_Theory|Graph-Theory]]
+- 부모: [[Deep Learning]] · [[Graph_Theory|Graph-Theory]]
 - 변형: [[GCN]] · [[GAT]] · [[GIN]]
 - 응용: [[Recommender-Systems]] · [[Knowledge-Graphs]]
 - Adjacent: [[AlphaFold]]
diff --git a/10_Wiki/Topics/AI_and_ML/GPU Acceleration (Compositing).md b/10_Wiki/Topics/AI_and_ML/GPU Acceleration (Compositing).md
index de2b1a35..07791701 100644
--- a/10_Wiki/Topics/AI_and_ML/GPU Acceleration (Compositing).md	
+++ b/10_Wiki/Topics/AI_and_ML/GPU Acceleration (Compositing).md	
@@ -274,7 +274,7 @@ registerPaint('checkerboard', class {
 - 부모: [[Browser-Rendering]] · [[Performance]]
 - 변형: [[Compositing]]
 - 응용: [[Will-Change]] · [[OffscreenCanvas]] · [[WebGPU]]
-- Adjacent: [[Core Web Vitals Optimization (INP, LCP 개선)|Core-Web-Vitals]] · [[Compute-Shader]] · [[View-Transitions]]
+- Adjacent: [[Core Web Vitals Optimization (INP, LCP, CLS)|Core-Web-Vitals]] · [[Compute Shader (WebGPU)]] · [[View-Transitions]]
 
 ## 🤖 LLM 활용
 **언제**: 매 frontend perf optim. 매 60fps animation. 매 heavy canvas.
diff --git a/10_Wiki/Topics/AI_and_ML/GPU-Programming-with-CUDA.md b/10_Wiki/Topics/AI_and_ML/GPU-Programming-with-CUDA.md
index 1ffe0172..ef0b49ea 100644
--- a/10_Wiki/Topics/AI_and_ML/GPU-Programming-with-CUDA.md
+++ b/10_Wiki/Topics/AI_and_ML/GPU-Programming-with-CUDA.md
@@ -249,7 +249,7 @@ cudaOccupancyMaxActiveBlocksPerMultiprocessor(&max_blocks_per_sm, kernel, thread
 ## 🔗 Graph
 - 부모: [[GPU]]
 - 변형: [[CUDA]] · [[Triton]] · [[HIP]]
-- 응용: [[cuBLAS]] · [[Flash Attention]] · [[Compute-Shader]]
+- 응용: [[cuBLAS]] · [[Flash Attention]] · [[Compute Shader (WebGPU)]]
 - Adjacent: [[GPU|GPU-Architecture]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Gaussian-Processes.md b/10_Wiki/Topics/AI_and_ML/Gaussian-Processes.md
index ce95e28d..86e31c66 100644
--- a/10_Wiki/Topics/AI_and_ML/Gaussian-Processes.md
+++ b/10_Wiki/Topics/AI_and_ML/Gaussian-Processes.md
@@ -207,7 +207,7 @@ def calibration_plot(gp, X_test, y_test):
 ## 🔗 Graph
 - 부모: [[Kernel-Methods]]
 - 변형: [[Sparse-GP]]
-- 응용: [[Bayesian-Optimization]] · [[Active-Learning]]
+- 응용: [[Bayesian-Optimization]] · [[Active Learning]]
 - Adjacent: [[Epistemic-Uncertainty]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Generative-Adversarial-Networks.md b/10_Wiki/Topics/AI_and_ML/Generative-Adversarial-Networks.md
index 4225ffd4..c7cc392c 100644
--- a/10_Wiki/Topics/AI_and_ML/Generative-Adversarial-Networks.md
+++ b/10_Wiki/Topics/AI_and_ML/Generative-Adversarial-Networks.md
@@ -250,7 +250,7 @@ class ESRGAN(nn.Module):
 **기본값**: 매 modern = diffusion. 매 face = StyleGAN3. 매 niche translation = CycleGAN. 매 SR = ESRGAN. 매 always FID + diversity check.
 
 ## 🔗 Graph
-- 부모: [[Deep-Learning]] · [[Generative-AI|Generative-Models]]
+- 부모: [[Deep Learning]] · [[Generative-AI|Generative-Models]]
 - 변형: [[StyleGAN]] · [[CycleGAN]] · [[Pix2Pix]]
 - 응용: [[Data-Augmentation]]
 - Adjacent: [[Diffusion-Models]] · [[VAE]] · [[Generative-AI]]
diff --git a/10_Wiki/Topics/AI_and_ML/Google-Page-Experience-2025-Update.md b/10_Wiki/Topics/AI_and_ML/Google-Page-Experience-2025-Update.md
index 04769637..801c3f4d 100644
--- a/10_Wiki/Topics/AI_and_ML/Google-Page-Experience-2025-Update.md
+++ b/10_Wiki/Topics/AI_and_ML/Google-Page-Experience-2025-Update.md
@@ -119,7 +119,7 @@ fetch(`https://www.googleapis.com/pagespeedonline/v5/runPagespeed?url=${url}&key
 
 ## 🔗 Graph
 - 부모: [[SEO]] · [[Web-Performance]]
-- 변형: [[Core Web Vitals Optimization (INP, LCP 개선)|Core-Web-Vitals]] · [[INP]]
+- 변형: [[Core Web Vitals Optimization (INP, LCP, CLS)|Core-Web-Vitals]] · [[INP]]
 - 응용: [[E-commerce-Optimization]] · [[GPU Acceleration (Compositing)]]
 - Adjacent: [[Lighthouse]]
 
diff --git a/10_Wiki/Topics/AI_and_ML/Grouped-Query Attention (GQA).md b/10_Wiki/Topics/AI_and_ML/Grouped-Query Attention (GQA).md
index 0b06ba6b..3fa1c0b2 100644
--- a/10_Wiki/Topics/AI_and_ML/Grouped-Query Attention (GQA).md	
+++ b/10_Wiki/Topics/AI_and_ML/Grouped-Query Attention (GQA).md	
@@ -210,10 +210,10 @@ def benchmark(model, batch_sizes, seq_lens):
 **기본값**: 매 modern LLM = GQA (4-8 KV heads). 매 quality > 1% loss = MHA. 매 extreme constraint = MQA.
 
 ## 🔗 Graph
-- 부모: [[Attention-Mechanism]] · [[Transformer]]
+- 부모: [[Attention Mechanism]] · [[Transformer]]
 - 변형: [[Multi-Head-Attention]] · [[Multi-Query-Attention]]
 - 응용: [[Llama]] · [[Flash Attention]] · [[LLM_Optimization_and_Deployment_Strategies|vLLM]]
-- Adjacent: [[KV-Cache]] · [[Paged-Attention]] · [[Foundation-Models]]
+- Adjacent: [[KV-Cache]] · [[PagedAttention]] · [[Foundation-Models]]
 
 ## 🤖 LLM 활용
 **언제**: 매 모든 modern LLM. 매 long context. 매 high-batch serving.
diff --git a/10_Wiki/Topics/AI_and_ML/Heuristics.md b/10_Wiki/Topics/AI_and_ML/Heuristics.md
index d086f29f..57f4e335 100644
--- a/10_Wiki/Topics/AI_and_ML/Heuristics.md
+++ b/10_Wiki/Topics/AI_and_ML/Heuristics.md
@@ -223,7 +223,7 @@ Pick best option (single). Output JSON: {{ choice: ..., reason: ... }}"""
 
 ## 🔗 Graph
 - 부모: [[Decision-Making]]
-- 변형: [[Heuristics|Heuristic-Search]] · [[Cognitive-Bias]]
+- 변형: [[Heuristics|Heuristic-Search]] · [[Cognitive Bias]]
 - Adjacent: [[Foundation-Models]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Homomorphic-Encryption.md b/10_Wiki/Topics/AI_and_ML/Homomorphic-Encryption.md
index d629540b..08470444 100644
--- a/10_Wiki/Topics/AI_and_ML/Homomorphic-Encryption.md
+++ b/10_Wiki/Topics/AI_and_ML/Homomorphic-Encryption.md
@@ -259,7 +259,7 @@ contract EncryptedAuction {
 ## 🔗 Graph
 - 부모: [[Practical-Cryptography|Cryptography]]
 - 응용: [[Privacy-Preserving-ML]] · [[Federated-Learning]]
-- Adjacent: [[Differential-Privacy]] · [[Secure-Multiparty-Computation]]
+- Adjacent: [[Differential-Privacy]] · [[Secure Multi-party Computation]]
 
 ## 🤖 LLM 활용
 **언제**: 매 medical / financial. 매 cloud trust. 매 multi-party compute.
diff --git a/10_Wiki/Topics/AI_and_ML/Hopfield Network.md b/10_Wiki/Topics/AI_and_ML/Hopfield Network.md
index 9576c930..180ecd58 100644
--- a/10_Wiki/Topics/AI_and_ML/Hopfield Network.md	
+++ b/10_Wiki/Topics/AI_and_ML/Hopfield Network.md	
@@ -109,7 +109,7 @@ print(np.array_equal(restored, patterns[0]))
 
 ## 🔗 Graph
 - 변형: [[Modern-Hopfield]]
-- 응용: [[Attention-Mechanism]] · [[Associative-Memory]]
+- 응용: [[Attention Mechanism]] · [[Associative-Memory]]
 - Adjacent: [[Transformer]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Human Centered AI (HCAI).md b/10_Wiki/Topics/AI_and_ML/Human Centered AI (HCAI).md
index 7d4bd2ac..68b90592 100644
--- a/10_Wiki/Topics/AI_and_ML/Human Centered AI (HCAI).md	
+++ b/10_Wiki/Topics/AI_and_ML/Human Centered AI (HCAI).md	
@@ -222,7 +222,7 @@ Output:
 **기본값**: 매 high control + high automation + 매 reversible + 매 explainable + 매 disclosure + 매 audit log.
 
 ## 🔗 Graph
-- 부모: [[AI]] · [[Human-Computer-Interaction]]
+- 부모: [[AI]] · [[Human Computer Interaction]]
 - 변형: [[Augmented-Intelligence]]
 - 응용: [[Human-in-the-loop (HITL)]] · [[AI_Safety_and_Alignment|Constitutional-AI]]
 - Adjacent: [[Ethics & AI]] · [[Emotional-AI (Affective Computing)|Empathy-in-AI]] · [[Excessive Agency]]
diff --git a/10_Wiki/Topics/AI_and_ML/Human-in-the-loop (HITL).md b/10_Wiki/Topics/AI_and_ML/Human-in-the-loop (HITL).md
index 1d43bec3..caf4bfd0 100644
--- a/10_Wiki/Topics/AI_and_ML/Human-in-the-loop (HITL).md	
+++ b/10_Wiki/Topics/AI_and_ML/Human-in-the-loop (HITL).md	
@@ -232,8 +232,8 @@ def hitl_cost(n_items, auto_threshold, human_cost=2.0, model_cost=0.01):
 **기본값**: 매 high-stakes / destructive = HITL approval + 매 confidence-routing for scale + 매 active learning for label efficiency + 매 audit sample.
 
 ## 🔗 Graph
-- 부모: [[AI-Safety]] · [[ML-Ops]]
-- 변형: [[Active-Learning]] · [[RLHF]]
+- 부모: [[AI Safety]] · [[ML-Ops]]
+- 변형: [[Active Learning]] · [[RLHF]]
 - 응용: [[Excessive Agency]] · [[Content-Moderation]] · [[AI_Safety_and_Alignment|Constitutional-AI]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Hypothesis Tree.md b/10_Wiki/Topics/AI_and_ML/Hypothesis Tree.md
index 7290fca1..b12c877c 100644
--- a/10_Wiki/Topics/AI_and_ML/Hypothesis Tree.md	
+++ b/10_Wiki/Topics/AI_and_ML/Hypothesis Tree.md	
@@ -215,8 +215,8 @@ def is_saturated(branch):
 
 ## 🔗 Graph
 - 부모: [[Problem_Solving|Problem-Solving]] · [[Strategy]]
-- 변형: [[MECE]] · [[Issue-Tree]] · [[Pyramid-Principle]]
-- 응용: [[Root-Cause-Analysis]] · [[Strategy-Consulting]]
+- 변형: [[MECE]] · [[Issue Tree]] · [[Pyramid Principle]]
+- 응용: [[Root Cause Analysis]] · [[Strategy-Consulting]]
 - Adjacent: [[Innovative Problem Solving]] · [[Iterative Prompting]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Image Parameters.md b/10_Wiki/Topics/AI_and_ML/Image Parameters.md
index 4f98c9a0..d9ac7259 100644
--- a/10_Wiki/Topics/AI_and_ML/Image Parameters.md	
+++ b/10_Wiki/Topics/AI_and_ML/Image Parameters.md	
@@ -171,7 +171,7 @@ pipe.scheduler = DPMSolverMultistepScheduler.from_config(
 
 ## 🔗 Graph
 - 부모: [[Diffusion-Models]] · [[Generative-AI]]
-- 변형: [[Prompt-Weighting]]
+- 변형: [[Prompt Weighting]]
 - 응용: [[ControlNet]] · [[LoRA]] · [[IP-Adapter]]
 - Adjacent: [[Stable-Diffusion]] · [[FLUX]] · [[ComfyUI]]
 
diff --git a/10_Wiki/Topics/AI_and_ML/Index.md b/10_Wiki/Topics/AI_and_ML/Index.md
index 8981368c..97c8fdc2 100644
--- a/10_Wiki/Topics/AI_and_ML/Index.md
+++ b/10_Wiki/Topics/AI_and_ML/Index.md
@@ -25,7 +25,7 @@ github_commit: pending
 - [[Dynamic Few-Shot]] · [[GRPO]] · [[Excessive Agency]]
 
 ## 매 ML Fundamentals
-- [[Generalization-in-AI]] · [[Ensemble-Methods]] · [[Cross-Entropy-Loss]]
+- [[Generalization-in-AI]] · [[Ensemble-Methods]] · [[Cross-Entropy Loss]]
 - [[Catastrophic-Forgetting]] · [[Epistemic-Uncertainty]] · [[Calibration]]
 - [[Feature Engineering]] · [[Hyperparameters]] · [[Exploratory-Data-Analysis]]
 
@@ -44,8 +44,8 @@ github_commit: pending
 - [[Domain-Specific-Languages]] · [[Encapsulation-and-Information-Hiding]]
 
 ## 매 Frontend / Web
-- [[Flexbox]] · [[Container-Queries]] · [[Compute-Shader]]
-- [[GPU Acceleration (Compositing)]] · [[Core Web Vitals Optimization (INP, LCP 개선)|Core-Web-Vitals]] · [[Google-Page-Experience-2025-Update]]
+- [[Flexbox]] · [[Container-Queries]] · [[Compute Shader (WebGPU)]]
+- [[GPU Acceleration (Compositing)]] · [[Core Web Vitals Optimization (INP, LCP, CLS)|Core-Web-Vitals]] · [[Google-Page-Experience-2025-Update]]
 - [[Figma Integration]] · [[Extended-Reality-XR]]
 
 ## 매 Hardware
diff --git a/10_Wiki/Topics/AI_and_ML/Information-Retrieval-IR.md b/10_Wiki/Topics/AI_and_ML/Information-Retrieval-IR.md
index cd35e01a..7a1ba895 100644
--- a/10_Wiki/Topics/AI_and_ML/Information-Retrieval-IR.md
+++ b/10_Wiki/Topics/AI_and_ML/Information-Retrieval-IR.md
@@ -243,7 +243,7 @@ def chunk_for_rag(text, chunk_size=500, overlap=100):
 
 ## 🔗 Graph
 - 부모: [[Search]] · [[NLP]]
-- 변형: [[BM25]] · [[Dense-Retrieval]] · [[Hybrid-Search]]
+- 변형: [[BM25]] · [[Dense-Retrieval]] · [[Hybrid Search]]
 - 응용: [[RAG]] · [[Search-Engine]]
 - Adjacent: [[Elasticsearch]] · [[FAISS]] · [[ColBERT]]
 
diff --git a/10_Wiki/Topics/AI_and_ML/Information_Theory.md b/10_Wiki/Topics/AI_and_ML/Information_Theory.md
index e8a6012c..a8d3c369 100644
--- a/10_Wiki/Topics/AI_and_ML/Information_Theory.md
+++ b/10_Wiki/Topics/AI_and_ML/Information_Theory.md
@@ -204,7 +204,7 @@ def free_energy(q_log_prob, p_log_prob, log_likelihood):
 ## 🔗 Graph
 - 부모: [[Math]] · [[Statistics]]
 - 변형: [[Shannon-Entropy]] · [[Mutual-Information]]
-- 응용: [[Cross-Entropy-Loss]] · [[KL-Divergence]]
+- 응용: [[Cross-Entropy Loss]] · [[KL-Divergence]]
 - Adjacent: [[MDL]] · [[Free-Energy-Principle]] · [[Foundation-Models]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Innovative Problem Solving.md b/10_Wiki/Topics/AI_and_ML/Innovative Problem Solving.md
index ff02326b..c88cfa05 100644
--- a/10_Wiki/Topics/AI_and_ML/Innovative Problem Solving.md	
+++ b/10_Wiki/Topics/AI_and_ML/Innovative Problem Solving.md	
@@ -221,7 +221,7 @@ Examples of forced constraints:
 
 ## 🔗 Graph
 - 부모: [[Creativity]] · [[Problem_Solving|Problem-Solving]]
-- 변형: [[TRIZ]] · [[Design-Thinking]] · [[First-Principles]]
+- 변형: [[TRIZ]] · [[Design Thinking]] · [[First-Principles]]
 - 응용: [[Innovation]]
 - Adjacent: [[Computational_Creativity|Computational-Creativity]] · [[Iterative Prompting]] · [[GAME_SYSTEM_DESIGN_PROMPT]]
 
diff --git a/10_Wiki/Topics/AI_and_ML/InstancedMesh2 library.md b/10_Wiki/Topics/AI_and_ML/InstancedMesh2 library.md
index 8998bf57..633c938e 100644
--- a/10_Wiki/Topics/AI_and_ML/InstancedMesh2 library.md	
+++ b/10_Wiki/Topics/AI_and_ML/InstancedMesh2 library.md	
@@ -168,7 +168,7 @@ leaves.computeBVH();
 - 부모: [[Three.js]]
 - 변형: [[BatchedMesh]] · [[GPU-Instancing]]
 - 응용: [[Particle-System]]
-- Adjacent: [[BVH]] · [[Frustum-Culling]]
+- Adjacent: [[BVH]] · [[Frustum Culling]]
 
 ## 🤖 LLM 활용
 **언제**: Three.js 씬 인스턴스 수가 폭증할 때 코드 마이그레이션 가이드, BVH 파라미터 튜닝, LOD 거리 결정에 활용.
diff --git a/10_Wiki/Topics/AI_and_ML/Interaction-to-Next-Paint-INP.md b/10_Wiki/Topics/AI_and_ML/Interaction-to-Next-Paint-INP.md
index 9b61824f..f9033a30 100644
--- a/10_Wiki/Topics/AI_and_ML/Interaction-to-Next-Paint-INP.md
+++ b/10_Wiki/Topics/AI_and_ML/Interaction-to-Next-Paint-INP.md
@@ -115,9 +115,9 @@ const HeavyComponent = lazy(() => import('./HeavyComponent'));
 **기본값**: 매 measure with web-vitals + 매 yield + 매 worker for heavy + 매 < 200ms target.
 
 ## 🔗 Graph
-- 부모: [[Core Web Vitals Optimization (INP, LCP 개선)|Core-Web-Vitals]] · [[Google-Page-Experience-2025-Update]]
+- 부모: [[Core Web Vitals Optimization (INP, LCP, CLS)|Core-Web-Vitals]] · [[Google-Page-Experience-2025-Update]]
 - 응용: [[GPU Acceleration (Compositing)]] · [[E-commerce-Optimization]]
-- Adjacent: [[Core Web Vitals Optimization (INP, LCP 개선)|First Input Delay (FID)]]
+- Adjacent: [[Core Web Vitals Optimization (INP, LCP, CLS)|First Input Delay (FID)]]
 
 ## 🤖 LLM 활용
 **언제**: 매 web product. 매 SEO.
diff --git a/10_Wiki/Topics/AI_and_ML/Interop 2026.md b/10_Wiki/Topics/AI_and_ML/Interop 2026.md
index 0999e784..fa9a65a8 100644
--- a/10_Wiki/Topics/AI_and_ML/Interop 2026.md	
+++ b/10_Wiki/Topics/AI_and_ML/Interop 2026.md	
@@ -166,7 +166,7 @@ console.table(features);
 
 ## 🔗 Graph
 - 부모: [[Web-Standards]]
-- 변형: [[Interop-2025]]
+- 변형: [[Interop 2025]]
 - 응용: [[Progressive-Enhancement]]
 - Adjacent: [[Baseline]]
 
diff --git a/10_Wiki/Topics/AI_and_ML/IoT-and-AI-Integration.md b/10_Wiki/Topics/AI_and_ML/IoT-and-AI-Integration.md
index 89e6ee37..570a1c47 100644
--- a/10_Wiki/Topics/AI_and_ML/IoT-and-AI-Integration.md
+++ b/10_Wiki/Topics/AI_and_ML/IoT-and-AI-Integration.md
@@ -152,7 +152,7 @@ print(classify.get_classes(it, top_k=1))
 ## 🔗 Graph
 - 부모: [[Edge Computing|Edge-Computing]]
 - 변형: [[TinyML]], [[Federated-Learning]]
-- 응용: [[Predictive-Maintenance]], [[Wearables]]
+- 응용: [[Predictive Maintenance]], [[Wearables]]
 - Adjacent: [[LLM_Optimization_and_Deployment_Strategies|Quantization]], [[MQTT]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Isaac-Asimovs-Laws-of-Robotics.md b/10_Wiki/Topics/AI_and_ML/Isaac-Asimovs-Laws-of-Robotics.md
index f21a806b..77caba90 100644
--- a/10_Wiki/Topics/AI_and_ML/Isaac-Asimovs-Laws-of-Robotics.md
+++ b/10_Wiki/Topics/AI_and_ML/Isaac-Asimovs-Laws-of-Robotics.md
@@ -126,7 +126,7 @@ def asimov_limitation(scenario):
 **기본값**: 매 Asimov = educational / discussion. 매 production = 매 specific frameworks (Anthropic CAI, NIST AI RMF, EU AI Act).
 
 ## 🔗 Graph
-- 부모: [[Ethics & AI]] · [[AI-Safety]]
+- 부모: [[Ethics & AI]] · [[AI Safety]]
 - 변형: [[AI_Safety_and_Alignment|Constitutional-AI]]
 - 응용: [[Ethics & AI|Ethics of Autonomous Systems]] · [[Excessive Agency]]
 - Adjacent: [[Ethics & AI|HHH]] · [[RLHF]]
diff --git a/10_Wiki/Topics/AI_and_ML/K-Nearest-Neighbors-K-NN.md b/10_Wiki/Topics/AI_and_ML/K-Nearest-Neighbors-K-NN.md
index 7ef59368..f6502dc3 100644
--- a/10_Wiki/Topics/AI_and_ML/K-Nearest-Neighbors-K-NN.md
+++ b/10_Wiki/Topics/AI_and_ML/K-Nearest-Neighbors-K-NN.md
@@ -204,7 +204,7 @@ def knn_lm_predict(context, llm, datastore, k=10):
 **기본값**: 매 normalize 의 always + 매 cosine for embed + 매 FAISS HNSW for prod + 매 CV-tuned K + 매 weighted-by-distance.
 
 ## 🔗 Graph
-- 부모: [[Machine-Learning]] · [[Information-Retrieval]]
+- 부모: [[Machine-Learning]] · [[Information Retrieval]]
 - 변형: [[HNSW]]
 - 응용: [[FAISS]] · [[RAG]]
 - Adjacent: [[Embeddings]]
diff --git a/10_Wiki/Topics/AI_and_ML/Key-Value (KV) Cache.md b/10_Wiki/Topics/AI_and_ML/Key-Value (KV) Cache.md
index 3e49402b..210835ad 100644
--- a/10_Wiki/Topics/AI_and_ML/Key-Value (KV) Cache.md	
+++ b/10_Wiki/Topics/AI_and_ML/Key-Value (KV) Cache.md	
@@ -206,7 +206,7 @@ def profile_kv_cache(model, seq_lens):
 
 ## 🔗 Graph
 - 부모: [[Transformer]]
-- 변형: [[Paged-Attention]]
+- 변형: [[PagedAttention]]
 - 응용: [[LLM_Optimization_and_Deployment_Strategies|vLLM]]
 - Adjacent: [[Flash Attention]] · [[Grouped-Query Attention (GQA)]] · [[Foundation-Models]]
 
diff --git a/10_Wiki/Topics/AI_and_ML/L-component (Lifecycle Hooks).md b/10_Wiki/Topics/AI_and_ML/L-component (Lifecycle Hooks).md
index 4c481889..d2233095 100644
--- a/10_Wiki/Topics/AI_and_ML/L-component (Lifecycle Hooks).md	
+++ b/10_Wiki/Topics/AI_and_ML/L-component (Lifecycle Hooks).md	
@@ -141,7 +141,7 @@ class Boundary extends React.Component {
 ## 🔗 Graph
 - 변형: [[useEffect]], [[ngOnInit]], [[onMount]]
 - 응용: [[Data-Fetching]]
-- Adjacent: [[Custom-Hooks]], [[Error-Boundaries]], [[Server-Components]]
+- Adjacent: [[Custom Hooks]], [[Error Boundaries]], [[Server Components]]
 
 ## 🤖 LLM 활용
 **언제**: 외부 시스템(timer, socket, listener) 결합, mount-once init, prop-driven refetch.
diff --git a/10_Wiki/Topics/AI_and_ML/LOD.md b/10_Wiki/Topics/AI_and_ML/LOD.md
index 92a63f71..8311aa8a 100644
--- a/10_Wiki/Topics/AI_and_ML/LOD.md
+++ b/10_Wiki/Topics/AI_and_ML/LOD.md
@@ -127,7 +127,7 @@ else if (state == LOD1 && dist < threshold - hyst) state = LOD0;
 ## 🔗 Graph
 - 변형: [[Nanite]], [[Mipmap]]
 - 응용: [[VR]]
-- Adjacent: [[Frustum-Culling]], [[Mesh-Simplification]]
+- Adjacent: [[Frustum Culling]], [[Mesh-Simplification]]
 
 ## 🤖 LLM 활용
 **언제**: 폴리곤 많은 scene, 모바일/VR, 카메라 distance 변화 큼, 같은 prop 다수 instancing.
diff --git a/10_Wiki/Topics/AI_and_ML/Label-Noise-and-Robustness.md b/10_Wiki/Topics/AI_and_ML/Label-Noise-and-Robustness.md
index 8e3b42a7..e3291ef4 100644
--- a/10_Wiki/Topics/AI_and_ML/Label-Noise-and-Robustness.md
+++ b/10_Wiki/Topics/AI_and_ML/Label-Noise-and-Robustness.md
@@ -148,7 +148,7 @@ model.fit(X[clean_idx], y[clean_idx])  # 또는 issues 를 사람에게 review
 
 ## 🔗 Graph
 - 부모: [[Machine_Learning]], [[Data_Quality]]
-- 변형: [[Active_Learning]]
+- 변형: [[Active Learning]]
 - 응용: [[Image-Classification-Mastery]]
 - Adjacent: [[LLM_Ops_and_Tuning]]
 
diff --git a/10_Wiki/Topics/AI_and_ML/Large_Frontend_Projects.md b/10_Wiki/Topics/AI_and_ML/Large_Frontend_Projects.md
index 56cfcb2c..61c99dbd 100644
--- a/10_Wiki/Topics/AI_and_ML/Large_Frontend_Projects.md
+++ b/10_Wiki/Topics/AI_and_ML/Large_Frontend_Projects.md
@@ -159,7 +159,7 @@ pnpm publish -r       # publish 변경된 package 만
 **기본값**: pnpm + Turborepo + design system + Changesets, MFE 는 마지막 수단.
 
 ## 🔗 Graph
-- 부모: [[Software_Architecture]], [[Frontend_Architecture]]
+- 부모: [[Software_Architecture]], [[Frontend Architecture]]
 - 변형: [[Turborepo]], [[Nx]], [[Module_Federation]]
 - 응용: [[Design_System]], [[CI_CD_Pipeline|CI_CD]]
 - Adjacent: [[Build_Performance]], [[Monorepo]]
diff --git a/10_Wiki/Topics/AI_and_ML/Latent-Semantic-Analysis-LSA.md b/10_Wiki/Topics/AI_and_ML/Latent-Semantic-Analysis-LSA.md
index 65d40470..e16da745 100644
--- a/10_Wiki/Topics/AI_and_ML/Latent-Semantic-Analysis-LSA.md
+++ b/10_Wiki/Topics/AI_and_ML/Latent-Semantic-Analysis-LSA.md
@@ -108,7 +108,7 @@ doc_emb = model.encode(corpus, normalize_embeddings=True)
 **기본값**: 신규 시스템은 SBERT. LSA는 baseline / 교육용 / 자원 제약.
 
 ## 🔗 Graph
-- 부모: [[Information-Retrieval]], [[NLP]], [[Dimensionality-Reduction]]
+- 부모: [[Information Retrieval]], [[NLP]], [[Dimensionality-Reduction]]
 - 변형: [[LDA]], [[PCA]]
 - 응용: [[Semantic Search|Semantic-Search]]
 - Adjacent: [[TF-IDF]], [[Word-Embeddings]], [[SVD]]
diff --git a/10_Wiki/Topics/AI_and_ML/Layout_Thrashing.md b/10_Wiki/Topics/AI_and_ML/Layout_Thrashing.md
index 35370527..de90c67f 100644
--- a/10_Wiki/Topics/AI_and_ML/Layout_Thrashing.md
+++ b/10_Wiki/Topics/AI_and_ML/Layout_Thrashing.md
@@ -191,7 +191,7 @@ el.style.transform = `translate3d(${x}px, ${y}px, 0)`;
 - 부모: [[Web-Performance]]
 - 변형: [[Forced-Synchronous-Layout]], [[Reflow]], [[Repaint]]
 - 응용: [[Drag-and-Drop]]
-- Adjacent: [[requestAnimationFrame]], [[ResizeObserver]], [[Core Web Vitals Optimization (INP, LCP 개선)|Core-Web-Vitals]]
+- Adjacent: [[requestAnimationFrame]], [[ResizeObserver]], [[Core Web Vitals Optimization (INP, LCP, CLS)|Core-Web-Vitals]]
 
 ## 🤖 LLM 활용
 **언제**: 코드에서 read/write interleave 탐지, FastDOM-style 리팩터 제안, Performance trace 해석.
diff --git a/10_Wiki/Topics/AI_and_ML/Lazy-Loading-Strategies.md b/10_Wiki/Topics/AI_and_ML/Lazy-Loading-Strategies.md
index cee76e07..5a465729 100644
--- a/10_Wiki/Topics/AI_and_ML/Lazy-Loading-Strategies.md
+++ b/10_Wiki/Topics/AI_and_ML/Lazy-Loading-Strategies.md
@@ -146,7 +146,7 @@ const Map = dynamic(() => import("./Map"), { ssr: false, loading: () => <p>...</
 
 ## 🔗 Graph
 - 부모: [[Web-Performance]]
-- 변형: [[Code-Splitting]], [[Infinite-Scroll]]
+- 변형: [[Code Splitting]], [[Infinite-Scroll]]
 - Adjacent: [[IntersectionObserver]], [[Suspense]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Leaky-ReLU-and-Activations.md b/10_Wiki/Topics/AI_and_ML/Leaky-ReLU-and-Activations.md
index ad380d33..12f98bb6 100644
--- a/10_Wiki/Topics/AI_and_ML/Leaky-ReLU-and-Activations.md
+++ b/10_Wiki/Topics/AI_and_ML/Leaky-ReLU-and-Activations.md
@@ -114,7 +114,7 @@ zero_ratio = (act == 0).float().mean().item()
 **기본값**: 일반 DL → ReLU. Transformer → GELU. LLM FFN → SwiGLU.
 
 ## 🔗 Graph
-- 부모: [[Neural-Networks]], [[Deep-Learning]]
+- 부모: [[Neural-Networks]], [[Deep Learning]]
 - 변형: [[GELU]]
 - 응용: [[Transformer]], [[CNN]]
 - Adjacent: [[Loss-Functions-Foundations]]
diff --git a/10_Wiki/Topics/AI_and_ML/Lean-Operations.md b/10_Wiki/Topics/AI_and_ML/Lean-Operations.md
index 7938b7d6..f0b36e04 100644
--- a/10_Wiki/Topics/AI_and_ML/Lean-Operations.md
+++ b/10_Wiki/Topics/AI_and_ML/Lean-Operations.md
@@ -177,7 +177,7 @@ sustain: [weekly-review, kaizen-meeting]
 
 ## 🔗 Graph
 - 부모: [[Toyota-Production-System]]
-- 변형: [[Lean-Startup]]
+- 변형: [[Lean Startup]]
 - 응용: [[Kanban]], [[MVP]]
 - Adjacent: [[Agile]], [[Theory-of-Constraints]], [[DevOps]]
 
diff --git a/10_Wiki/Topics/AI_and_ML/Legacy_Modernization.md b/10_Wiki/Topics/AI_and_ML/Legacy_Modernization.md
index 3949aea9..c9cea37d 100644
--- a/10_Wiki/Topics/AI_and_ML/Legacy_Modernization.md
+++ b/10_Wiki/Topics/AI_and_ML/Legacy_Modernization.md
@@ -138,7 +138,7 @@ def new_handler(event):
 - 부모: [[Software_Architecture]], [[Refactoring_Best_Practices|Refactoring]]
 - 변형: [[Strangler_Fig]], [[Branch_by_Abstraction]]
 - 응용: [[Microservices]]
-- Adjacent: [[Domain_Driven_Design]], [[Feature_Flags]]
+- Adjacent: [[Domain_Driven_Design]], [[Feature Flags]]
 
 ## 🤖 LLM 활용
 **언제**: legacy 코드 의도 파악, characterization test 생성, COBOL → Java 변환 후 검증.
diff --git a/10_Wiki/Topics/AI_and_ML/Lighthouse.md b/10_Wiki/Topics/AI_and_ML/Lighthouse.md
index 5eca0c65..19ecd160 100644
--- a/10_Wiki/Topics/AI_and_ML/Lighthouse.md
+++ b/10_Wiki/Topics/AI_and_ML/Lighthouse.md
@@ -158,9 +158,9 @@ lhci autorun                                     # default mobile
 
 ## 🔗 Graph
 - 부모: [[Web_Performance]]
-- 변형: [[PageSpeed_Insights]]
-- 응용: [[Core Web Vitals Optimization (INP, LCP 개선)|Core_Web_Vitals]]
-- Adjacent: [[Long_Animation_Frames_API]], [[RUM]]
+- 변형: [[PageSpeed Insights]]
+- 응용: [[Core Web Vitals Optimization (INP, LCP, CLS)|Core_Web_Vitals]]
+- Adjacent: [[Long Animation Frames API]], [[RUM]]
 
 ## 🤖 LLM 활용
 **언제**: Lighthouse JSON 결과 → 우선순위 issue 정리, 해결 PR 초안.
diff --git a/10_Wiki/Topics/AI_and_ML/Load-Balancing-Strategies.md b/10_Wiki/Topics/AI_and_ML/Load-Balancing-Strategies.md
index 6e690031..c9873512 100644
--- a/10_Wiki/Topics/AI_and_ML/Load-Balancing-Strategies.md
+++ b/10_Wiki/Topics/AI_and_ML/Load-Balancing-Strategies.md
@@ -158,7 +158,7 @@ def p2c(servers, load):
 ## 🔗 Graph
 - 부모: [[Distributed-Systems]]
 - 변형: [[Consistent-Hashing]], [[Reverse-Proxy]]
-- 응용: [[High-Availability]], [[Service-Mesh]], [[CDN]]
+- 응용: [[High-Availability]], [[Service Mesh]], [[CDN]]
 - Adjacent: [[API-Gateway]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Local-Brain-Management.md b/10_Wiki/Topics/AI_and_ML/Local-Brain-Management.md
index 4ee33f74..926ba6e0 100644
--- a/10_Wiki/Topics/AI_and_ML/Local-Brain-Management.md
+++ b/10_Wiki/Topics/AI_and_ML/Local-Brain-Management.md
@@ -85,15 +85,15 @@ created: 2026-05-10
 # 🗺️ MOC: Web Performance
 
 ## Core
-- [[Core Web Vitals Optimization (INP, LCP 개선)|Core_Web_Vitals]]
-- [[Long_Animation_Frames_API]]
+- [[Core Web Vitals Optimization (INP, LCP, CLS)|Core_Web_Vitals]]
+- [[Long Animation Frames API]]
 
 ## Tools
 - [[Lighthouse]]
 - [[WebPageTest]]
 
 ## Patterns
-- [[Code_Splitting]]
+- [[Code Splitting]]
 - [[Image_Optimization]]
 ```
 
diff --git a/10_Wiki/Topics/AI_and_ML/Logic.md b/10_Wiki/Topics/AI_and_ML/Logic.md
index 3bbf7361..a6387761 100644
--- a/10_Wiki/Topics/AI_and_ML/Logic.md
+++ b/10_Wiki/Topics/AI_and_ML/Logic.md
@@ -124,7 +124,7 @@ if solver.check() == sat:
 ## 🔗 Graph
 - 변형: [[Fuzzy-Logic]]
 - 응용: [[Neural-Symbolic-Integration|Neuro-Symbolic-AI]]
-- Adjacent: [[Type-Theory]], [[Curry-Howard]], [[Knowledge Graph|Knowledge-Graph]], [[Theorem-Proving]]
+- Adjacent: [[Type Theory]], [[Curry-Howard]], [[Knowledge Graph|Knowledge-Graph]], [[Theorem-Proving]]
 
 ## 🤖 LLM 활용
 **언제**:
diff --git a/10_Wiki/Topics/AI_and_ML/Long Animation Frames API.md b/10_Wiki/Topics/AI_and_ML/Long Animation Frames API.md
index fe44eaa8..4f38a117 100644
--- a/10_Wiki/Topics/AI_and_ML/Long Animation Frames API.md	
+++ b/10_Wiki/Topics/AI_and_ML/Long Animation Frames API.md	
@@ -175,7 +175,7 @@ else { /* fallback to long-task */ }
 ## 🔗 Graph
 - 부모: [[Web_Performance]]
 - 변형: [[Long Tasks]] (구세대)
-- 응용: [[INP]], [[Core Web Vitals Optimization (INP, LCP 개선)|Core_Web_Vitals]]
+- 응용: [[INP]], [[Core Web Vitals Optimization (INP, LCP, CLS)|Core_Web_Vitals]]
 - Adjacent: [[Lighthouse]], [[RUM]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Long Tasks.md b/10_Wiki/Topics/AI_and_ML/Long Tasks.md
index ecc09be4..02ee3eca 100644
--- a/10_Wiki/Topics/AI_and_ML/Long Tasks.md	
+++ b/10_Wiki/Topics/AI_and_ML/Long Tasks.md	
@@ -149,8 +149,8 @@ onINP((m) => {
 ## 🔗 Graph
 - 부모: [[Web-Performance]]
 - 변형: [[Long-Animation-Frame]]
-- 응용: [[INP]], [[Core Web Vitals Optimization (INP, LCP 개선)|Core-Web-Vitals]]
-- Adjacent: [[Web Worker (웹 워커)|Web-Workers]], [[Scheduler-API]], [[Code-Splitting]]
+- 응용: [[INP]], [[Core Web Vitals Optimization (INP, LCP, CLS)|Core-Web-Vitals]]
+- Adjacent: [[Web Worker (웹 워커)|Web-Workers]], [[Scheduler API]], [[Code Splitting]]
 
 ## 🤖 LLM 활용
 **언제**: PerformanceObserver 코드, 원인 분류, 완화 전략 매핑.
diff --git a/10_Wiki/Topics/AI_and_ML/MAP-Estimation.md b/10_Wiki/Topics/AI_and_ML/MAP-Estimation.md
index 392e8eba..c8fc7449 100644
--- a/10_Wiki/Topics/AI_and_ML/MAP-Estimation.md
+++ b/10_Wiki/Topics/AI_and_ML/MAP-Estimation.md
@@ -112,7 +112,7 @@ P_w_given_c = (count_wc + 1) / (count_c + V)   # Dirichlet(1,..,1) prior
 **기본값**: MLE 가 overfit 위험이거나 sparse 데이터면 MAP, 의사결정에 불확실성이 중요하면 full Bayes.
 
 ## 🔗 Graph
-- 부모: [[Bayesian-Inference]]
+- 부모: [[Bayesian Inference]]
 - 변형: [[Variational-Inference]], [[MCMC]]
 - 응용: [[Ridge-Regression]], [[Lasso]], [[Naive-Bayes]], [[Kalman-Filter-and-State-Tracking|Kalman-Filter]]
 - Adjacent: [[L1-and-L2-Regularization|Regularization]]
diff --git a/10_Wiki/Topics/AI_and_ML/Machine Zone의 4X 포트폴리오 확장 및 라이브 서비스 모델 고도화.md b/10_Wiki/Topics/AI_and_ML/Machine Zone의 4X 포트폴리오 확장 및 라이브 서비스 모델 고도화.md
index 602721f3..3dab2d30 100644
--- a/10_Wiki/Topics/AI_and_ML/Machine Zone의 4X 포트폴리오 확장 및 라이브 서비스 모델 고도화.md	
+++ b/10_Wiki/Topics/AI_and_ML/Machine Zone의 4X 포트폴리오 확장 및 라이브 서비스 모델 고도화.md	
@@ -111,9 +111,9 @@ user(KO) → MT pipeline → user(EN/JP/RU) 실시간
 **기본값**: 같은 4X 엔진을 IP 다중화 + LiveOps 캘린더 + 고래 중심 BI.
 
 ## 🔗 Graph
-- 부모: [[Live-Ops]]
-- 변형: [[Game-of-War]], [[Mobile-Strike]]
-- Adjacent: [[ARPPU]], [[Rise-of-Kingdoms]]
+- 부모: [[LiveOps]]
+- 변형: [[Game-of-War]], [[Mobile Strike]]
+- Adjacent: [[ARPPU]], [[Rise of Kingdoms]]
 
 ## 🤖 LLM 활용
 **언제**: 4X LiveOps 패턴 brainstorm, pack 사다리/이벤트 캘린더 초안, 사례 비교.
diff --git a/10_Wiki/Topics/AI_and_ML/Main_Thread.md b/10_Wiki/Topics/AI_and_ML/Main_Thread.md
index 94d8a5f0..0423ef7e 100644
--- a/10_Wiki/Topics/AI_and_ML/Main_Thread.md
+++ b/10_Wiki/Topics/AI_and_ML/Main_Thread.md
@@ -115,7 +115,7 @@ function chunked(items, fn, chunkSize = 100) {
 
 ## 🔗 Graph
 - 상위: [[Web-Performance]] · [[Browser-Internals]] · [[Event-Loop]]
-- 관련: [[Web-Worker]] · [[Service-Worker]] · [[OffscreenCanvas]] · [[INP]] · [[Core Web Vitals Optimization (INP, LCP 개선)|Core-Web-Vitals]] · [[React-Concurrent]] · [[Scheduler-API]]
+- 관련: [[Web-Worker]] · [[Service-Worker]] · [[OffscreenCanvas]] · [[INP]] · [[Core Web Vitals Optimization (INP, LCP, CLS)|Core-Web-Vitals]] · [[React-Concurrent]] · [[Scheduler API]]
 - 도구: [[Lighthouse]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Markov-Chain-Monte-Carlo.md b/10_Wiki/Topics/AI_and_ML/Markov-Chain-Monte-Carlo.md
index 436a6653..db3be64e 100644
--- a/10_Wiki/Topics/AI_and_ML/Markov-Chain-Monte-Carlo.md
+++ b/10_Wiki/Topics/AI_and_ML/Markov-Chain-Monte-Carlo.md
@@ -131,7 +131,7 @@ az.plot_pair(idata, divergences=True)
 **기본값**: continuous → NumPyro/PyMC NUTS. Discrete → Gibbs / SMC.
 
 ## 🔗 Graph
-- 부모: [[Bayesian-Inference]]
+- 부모: [[Bayesian Inference]]
 - 변형: [[Metropolis-Hastings]], [[Gibbs-Sampling]], [[NUTS]]
 - 응용: [[Bayesian-Regression]]
 - Adjacent: [[Variational-Inference]], [[Stan]]
diff --git a/10_Wiki/Topics/AI_and_ML/Markov-Chains.md b/10_Wiki/Topics/AI_and_ML/Markov-Chains.md
index 46434dfc..c35dc7ab 100644
--- a/10_Wiki/Topics/AI_and_ML/Markov-Chains.md
+++ b/10_Wiki/Topics/AI_and_ML/Markov-Chains.md
@@ -105,7 +105,7 @@ def mean_first_passage(P, target):
 
 ## 🔗 Graph
 - 상위: [[Probability]]
-- 관련: [[MCMC]] · [[MDP]] · [[Reinforcement-Learning]] · [[Bayesian-Inference]]
+- 관련: [[MCMC]] · [[MDP]] · [[Reinforcement-Learning]] · [[Bayesian Inference]]
 
 ## 🤖 LLM 활용
 - LLM에게 transition matrix 입력 → 정상 분포·mixing time 해석 부탁 가능. 단, 수치 계산은 NumPy로 검증.
diff --git a/10_Wiki/Topics/AI_and_ML/Matrix-Operations-and-AI.md b/10_Wiki/Topics/AI_and_ML/Matrix-Operations-and-AI.md
index f3b93c0d..c219ca13 100644
--- a/10_Wiki/Topics/AI_and_ML/Matrix-Operations-and-AI.md
+++ b/10_Wiki/Topics/AI_and_ML/Matrix-Operations-and-AI.md
@@ -108,9 +108,9 @@ def fwd(x, W): return jnp.einsum('bd,dk->bk', x, W)
 **기본값**: PyTorch 2.x + bf16 + `torch.compile` + FlashAttention.
 
 ## 🔗 Graph
-- 부모: [[Linear-Algebra-Foundations|Linear-Algebra]], [[Deep-Learning]]
-- 응용: [[Attention-Mechanism]], [[Transformer]]
-- Adjacent: [[GPU|GPU-Architecture]], [[Memory-Hierarchy]], [[FlashAttention]]
+- 부모: [[Linear-Algebra-Foundations|Linear-Algebra]], [[Deep Learning]]
+- 응용: [[Attention Mechanism]], [[Transformer]]
+- Adjacent: [[GPU|GPU-Architecture]], [[Memory-Hierarchy]], [[Flash Attention]]
 
 ## 🤖 LLM 활용
 **언제**:
diff --git a/10_Wiki/Topics/AI_and_ML/Mechanistic Interpretability (기계적 해석 가능성).md b/10_Wiki/Topics/AI_and_ML/Mechanistic Interpretability (기계적 해석 가능성).md
index ebea5adc..9c634aa4 100644
--- a/10_Wiki/Topics/AI_and_ML/Mechanistic Interpretability (기계적 해석 가능성).md	
+++ b/10_Wiki/Topics/AI_and_ML/Mechanistic Interpretability (기계적 해석 가능성).md	
@@ -109,7 +109,7 @@ def steer(act, hook, feature_idx, scale):
 ## 🔗 Graph
 - 부모: [[AI_Safety_and_Alignment|AI-Alignment]]
 - 변형: [[Sparse-Autoencoder]], [[Circuit-Analysis]], [[Activation-Patching]]
-- 응용: [[AI-Safety]]
+- 응용: [[AI Safety]]
 - Adjacent: [[Transformer_Architecture_and_LLM_Foundations|Transformer-Architecture]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Memory-Hierarchy.md b/10_Wiki/Topics/AI_and_ML/Memory-Hierarchy.md
index 39217a22..870b8127 100644
--- a/10_Wiki/Topics/AI_and_ML/Memory-Hierarchy.md
+++ b/10_Wiki/Topics/AI_and_ML/Memory-Hierarchy.md
@@ -117,7 +117,7 @@ peak = min(peak_flops, peak_bw * ai)
 
 ## 🔗 Graph
 - 부모: [[Performance-Optimization]]
-- 응용: [[FlashAttention]], [[Kernel-Fusion]]
+- 응용: [[Flash Attention]], [[Kernel-Fusion]]
 - Adjacent: [[HBM]], [[NVLink]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Mermaid_Diagrams_as_Code.md b/10_Wiki/Topics/AI_and_ML/Mermaid_Diagrams_as_Code.md
index 296d7941..467a852c 100644
--- a/10_Wiki/Topics/AI_and_ML/Mermaid_Diagrams_as_Code.md
+++ b/10_Wiki/Topics/AI_and_ML/Mermaid_Diagrams_as_Code.md
@@ -131,7 +131,7 @@ mmdc -i diagram.mmd -o diagram.svg -t dark
 **기본값**: README엔 mermaid 코드 블록, 복잡한 도식만 SVG 첨부.
 
 ## 🔗 Graph
-- 부모: [[Diagrams-as-Code]]
+- 부모: [[Diagrams as Code]]
 - 변형: [[PlantUML]], [[D2]]
 - 응용: [[Architecture-Documentation]], [[Runbook]], [[ADR]]
 
diff --git a/10_Wiki/Topics/AI_and_ML/Mipmap.md b/10_Wiki/Topics/AI_and_ML/Mipmap.md
index 78568d1d..86139851 100644
--- a/10_Wiki/Topics/AI_and_ML/Mipmap.md
+++ b/10_Wiki/Topics/AI_and_ML/Mipmap.md
@@ -95,7 +95,7 @@ toktx --genmipmap --bcmp out.ktx2 input.png
 **기본값**: trilinear + aniso 4x, GPU 압축 (BC7/ASTC) + KTX2 로 사전 생성.
 
 ## 🔗 Graph
-- Adjacent: [[Texture-Compression]], [[KTX2]]
+- Adjacent: [[Texture Compression]], [[KTX2]]
 
 ## 🤖 LLM 활용
 **언제**: filtering 차이 설명, 메모리 계산 (×1.33), shader API snippet 초안.
diff --git a/10_Wiki/Topics/AI_and_ML/Miscellaneous_AI_Topics.md b/10_Wiki/Topics/AI_and_ML/Miscellaneous_AI_Topics.md
index 6779e934..ff0e9a7c 100644
--- a/10_Wiki/Topics/AI_and_ML/Miscellaneous_AI_Topics.md
+++ b/10_Wiki/Topics/AI_and_ML/Miscellaneous_AI_Topics.md
@@ -118,7 +118,7 @@ te = uplift.predict(X_test)  # treatment effect per row
 ## 🔗 Graph
 
 - 부모: [[Machine-Learning]]
-- 변형: [[Active-Learning]] · [[Continual-Learning]]
+- 변형: [[Active Learning]] · [[Continual-Learning]]
 - 응용: [[AutoML]] · [[Federated-Learning]] · [[Differential-Privacy]]
 - Adjacent: [[Neural-Architecture-Search-NAS]] · [[Hyperparameters|Hyperparameter-Optimization]]
 
diff --git a/10_Wiki/Topics/AI_and_ML/Mixed-Platoons.md b/10_Wiki/Topics/AI_and_ML/Mixed-Platoons.md
index f9b0c741..052fccd8 100644
--- a/10_Wiki/Topics/AI_and_ML/Mixed-Platoons.md
+++ b/10_Wiki/Topics/AI_and_ML/Mixed-Platoons.md
@@ -101,7 +101,7 @@ if has({"melee","ranged","support"} <= squad.classes):
 
 ## 🔗 Graph
 - 부모: [[게임 밸런싱|Game-Balance]]
-- 변형: [[Combined Arms (제병협동) 전술|Combined-Arms]]
+- 변형: [[Combined Arms (제병협동) 전술|Combined-Arms]]
 - Adjacent: [[Rock-Paper-Scissors]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Mobile-First Approach.md b/10_Wiki/Topics/AI_and_ML/Mobile-First Approach.md
index 8214f8cc..8bfada46 100644
--- a/10_Wiki/Topics/AI_and_ML/Mobile-First Approach.md	
+++ b/10_Wiki/Topics/AI_and_ML/Mobile-First Approach.md	
@@ -148,8 +148,8 @@ onCLS(v => navigator.sendBeacon('/cwv', JSON.stringify(v)));
 
 - 부모: [[Responsive-Web-Design]] · [[Web-Performance]]
 - 변형: [[Container-Queries]] · [[Progressive-Enhancement]]
-- 응용: [[Core Web Vitals Optimization (INP, LCP 개선)|Core-Web-Vitals]] · [[SEO]]
-- Adjacent: [[Accessibility-A11y]] · [[Tailwind-CSS]] · [[Lighthouse]]
+- 응용: [[Core Web Vitals Optimization (INP, LCP, CLS)|Core-Web-Vitals]] · [[SEO]]
+- Adjacent: [[Accessibility-A11y]] · [[Tailwind CSS]] · [[Lighthouse]]
 
 ## 🤖 LLM 활용
 
diff --git a/10_Wiki/Topics/AI_and_ML/Model Parameters.md b/10_Wiki/Topics/AI_and_ML/Model Parameters.md
index 86c7555f..0b3e5fad 100644
--- a/10_Wiki/Topics/AI_and_ML/Model Parameters.md	
+++ b/10_Wiki/Topics/AI_and_ML/Model Parameters.md	
@@ -145,7 +145,7 @@ def chinchilla_tokens(n_params, ratio=20):
 
 ## 🔗 Graph
 
-- 부모: [[Machine-Learning]] · [[Deep-Learning]] · [[Neural-Networks]]
+- 부모: [[Machine-Learning]] · [[Deep Learning]] · [[Neural-Networks]]
 - 변형: [[LoRA]] · [[QLoRA]]
 - 응용: [[Fine-Tuning]] · [[LLM_Optimization_and_Deployment_Strategies|Quantization]] · [[LLM_Optimization_and_Deployment_Strategies|Model-Compression]] · [[LLM_Optimization_and_Deployment_Strategies|Inference-Optimization]]
 - Adjacent: [[Scaling-Laws]] · [[Hyperparameters]] · [[Mixture-of-Experts]]
diff --git a/10_Wiki/Topics/AI_and_ML/Modern Engineering Practices (현대적 엔지니어링 프랙티스).md b/10_Wiki/Topics/AI_and_ML/Modern Engineering Practices (현대적 엔지니어링 프랙티스).md
index 7d48ec15..d7744d09 100644
--- a/10_Wiki/Topics/AI_and_ML/Modern Engineering Practices (현대적 엔지니어링 프랙티스).md	
+++ b/10_Wiki/Topics/AI_and_ML/Modern Engineering Practices (현대적 엔지니어링 프랙티스).md	
@@ -149,7 +149,7 @@ repos:
 
 ## 🔗 Graph
 - 상위: [[DevOps]] · [[SRE]]
-- 관련: [[CI-CD]] · [[Trunk-Based-Development]] · [[GitOps]] · [[Terraform]] · [[OpenTelemetry]] · [[DORA]] · [[Feature-Flags]] · [[Progressive-Delivery]] · [[SLSA]] · [[Code-Review]]
+- 관련: [[CI CD]] · [[Trunk-Based-Development]] · [[GitOps]] · [[Terraform]] · [[OpenTelemetry]] · [[DORA]] · [[Feature-Flags]] · [[Progressive-Delivery]] · [[SLSA]] · [[Code-Review]]
 - AI 결합: [[Cursor]] · [[Claude-Code]]
 
 ## 🤖 LLM 활용
@@ -167,7 +167,7 @@ repos:
 - **AI 코드 무검토 머지** — hallucination·라이선스·보안 이슈. 동일한 review 게이트.
 
 ## 🧪 검증 / 중복
-- 중복 후보: [[CI-CD]], [[DevOps]], [[SRE]] — 본 문서는 우산 (실천 종합), 각 페이지는 deep dive.
+- 중복 후보: [[CI CD]], [[DevOps]], [[SRE]] — 본 문서는 우산 (실천 종합), 각 페이지는 deep dive.
 - 검증: DORA 자동 수집 (Sleuth, LinearB, Faros) · SLO 대시보드 · CFR < 15%.
 
 ## 🕓 Changelog
diff --git a/10_Wiki/Topics/AI_and_ML/Modern Scalable Frontend Architecture.md b/10_Wiki/Topics/AI_and_ML/Modern Scalable Frontend Architecture.md
index 81877259..7efe18ad 100644
--- a/10_Wiki/Topics/AI_and_ML/Modern Scalable Frontend Architecture.md	
+++ b/10_Wiki/Topics/AI_and_ML/Modern Scalable Frontend Architecture.md	
@@ -201,7 +201,7 @@ const user = await trpc.user.query("123");  // 자동 타입
 ## 🔗 Graph
 
 - 부모: [[Large_Frontend_Projects|Frontend Architecture]], [[Web Performance]]
-- 변형: [[Micro-Frontends]], [[Islands Architecture]], [[React Server Components]]
+- 변형: [[Micro-Frontends]], [[Islands Architecture]], [[React Server Components — 경계 의식]]
 - 응용: [[Astro]], [[Qwik]], [[Edge Runtime]]
 - Adjacent: [[Monorepo]], [[Turborepo]], [[Module Federation]]
 
diff --git a/10_Wiki/Topics/AI_and_ML/Monte-Carlo-Methods.md b/10_Wiki/Topics/AI_and_ML/Monte-Carlo-Methods.md
index 5434b94a..55d41c86 100644
--- a/10_Wiki/Topics/AI_and_ML/Monte-Carlo-Methods.md
+++ b/10_Wiki/Topics/AI_and_ML/Monte-Carlo-Methods.md
@@ -186,7 +186,7 @@ for episode in episodes:
 
 ## 🔗 Graph
 - 부모: [[Statistics]], [[Stochastic-Simulation]]
-- 형제: [[Bayesian-Inference]], [[Reinforcement-Learning]], [[Variational-Inference]]
+- 형제: [[Bayesian Inference]], [[Reinforcement-Learning]], [[Variational-Inference]]
 - 자식: [[MCMC]], [[MCTS]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Monte-Carlo-Tree-Search-MCTS.md b/10_Wiki/Topics/AI_and_ML/Monte-Carlo-Tree-Search-MCTS.md
index 23764d6f..756ec640 100644
--- a/10_Wiki/Topics/AI_and_ML/Monte-Carlo-Tree-Search-MCTS.md
+++ b/10_Wiki/Topics/AI_and_ML/Monte-Carlo-Tree-Search-MCTS.md
@@ -19,7 +19,7 @@ inferred_by: Claude Opus 4.7 (auto-merge 2026-05-08)
 # Monte Carlo Tree Search MCTS
 
 > [!IMPORTANT]
-> 이 문서는 P-Reinforce Phase 2 자동 MERGE에 의해 **[[Monte Carlo Tree Search (MCTS)]]**로 통합되었습니다.
+> 이 문서는 P-Reinforce Phase 2 자동 MERGE에 의해 **[[Monte Carlo Tree Search MCTS]]**로 통합되었습니다.
 
 ---
-*Redirected to: [[Monte Carlo Tree Search (MCTS)]]*
+*Redirected to: [[Monte Carlo Tree Search MCTS]]*
diff --git a/10_Wiki/Topics/AI_and_ML/NVIDIA-CUDA-and-AI.md b/10_Wiki/Topics/AI_and_ML/NVIDIA-CUDA-and-AI.md
index 1c3611ac..5c16e231 100644
--- a/10_Wiki/Topics/AI_and_ML/NVIDIA-CUDA-and-AI.md
+++ b/10_Wiki/Topics/AI_and_ML/NVIDIA-CUDA-and-AI.md
@@ -27,7 +27,7 @@ tech_stack: []
 ## 🔗 Graph
 
 - 부모: [[GPU-Programming-with-CUDA]] (canonical)
-- 관련: [[Deep-Learning]] · [[TensorRT]] · [[cuDNN]] · [[GPU-Acceleration]]
+- 관련: [[Deep Learning]] · [[TensorRT]] · [[cuDNN]] · [[GPU-Acceleration]]
 
 ## 🕓 Changelog
 
diff --git a/10_Wiki/Topics/AI_and_ML/Naive-Bayes-Classifiers.md b/10_Wiki/Topics/AI_and_ML/Naive-Bayes-Classifiers.md
index ac9219a1..86eb2900 100644
--- a/10_Wiki/Topics/AI_and_ML/Naive-Bayes-Classifiers.md
+++ b/10_Wiki/Topics/AI_and_ML/Naive-Bayes-Classifiers.md
@@ -172,7 +172,7 @@ cnb = CategoricalNB(alpha=1.0).fit(X_enc, y)
 
 ## 🔗 Graph
 
-- 부모: [[Bayes Theorem]]
+- 부모: [[Bayes' Theorem]]
 - 변형: [[Multinomial-Naive-Bayes]]
 - 응용: [[Sentiment Analysis]]
 - Adjacent: [[Logistic Regression]], [[TF-IDF]]
diff --git a/10_Wiki/Topics/AI_and_ML/Neural-Architecture-Search-NAS.md b/10_Wiki/Topics/AI_and_ML/Neural-Architecture-Search-NAS.md
index 5aadcf66..f614cae1 100644
--- a/10_Wiki/Topics/AI_and_ML/Neural-Architecture-Search-NAS.md
+++ b/10_Wiki/Topics/AI_and_ML/Neural-Architecture-Search-NAS.md
@@ -143,7 +143,7 @@ exp.run(8080)
 
 ## 🔗 Graph
 
-- 부모: [[AutoML]] · [[Deep-Learning]] · [[Hyperparameters|Hyperparameter-Optimization]]
+- 부모: [[AutoML]] · [[Deep Learning]] · [[Hyperparameters|Hyperparameter-Optimization]]
 - 응용: [[EfficientNet]] · [[Edge-AI]]
 - Adjacent: [[Mixture-of-Experts]] · [[LLM_Optimization_and_Deployment_Strategies|Knowledge-Distillation]] · [[LLM_Optimization_and_Deployment_Strategies|Quantization]]
 
diff --git a/10_Wiki/Topics/AI_and_ML/Neural-Symbolic-Integration.md b/10_Wiki/Topics/AI_and_ML/Neural-Symbolic-Integration.md
index c41aa1a3..3141e9a2 100644
--- a/10_Wiki/Topics/AI_and_ML/Neural-Symbolic-Integration.md
+++ b/10_Wiki/Topics/AI_and_ML/Neural-Symbolic-Integration.md
@@ -159,7 +159,7 @@ def prove_geom(problem, llm, ddar):
 기본값: LLM tool use(Type 2) + KG 보강(Type 4)이 가장 실용적이다.
 
 ## 🔗 Graph
-- 부모: [[Hybrid-AI]], [[Symbolic-AI]], [[Deep-Learning]]
+- 부모: [[Hybrid-AI]], [[Symbolic-AI]], [[Deep Learning]]
 - 형제: [[Knowledge Graph|Knowledge-Graph]]
 - 응용: [[GraphRAG]]
 
diff --git a/10_Wiki/Topics/AI_and_ML/Neuro-Symbolic AI.md b/10_Wiki/Topics/AI_and_ML/Neuro-Symbolic AI.md
index 226c61b4..9c7ff9ab 100644
--- a/10_Wiki/Topics/AI_and_ML/Neuro-Symbolic AI.md	
+++ b/10_Wiki/Topics/AI_and_ML/Neuro-Symbolic AI.md	
@@ -26,7 +26,7 @@ tech_stack: { language: Python, framework: PyTorch }
 
 ## 🔗 Graph
 - 부모: [[Neural-Symbolic-Integration]] (canonical)
-- 인접: [[Knowledge Graphs]], [[Tool Use]]
+- 인접: [[Knowledge-Graphs]], [[Tool Use]]
 
 ## 🕓 Changelog
 - 2026-05-08 Phase 1 자동 생성
diff --git a/10_Wiki/Topics/AI_and_ML/Neuropharmacology of Substance Use Disorders.md b/10_Wiki/Topics/AI_and_ML/Neuropharmacology of Substance Use Disorders.md
index 6c787aed..d01639d3 100644
--- a/10_Wiki/Topics/AI_and_ML/Neuropharmacology of Substance Use Disorders.md	
+++ b/10_Wiki/Topics/AI_and_ML/Neuropharmacology of Substance Use Disorders.md	
@@ -118,7 +118,7 @@ def voucher(neg_uds_streak):
 - **AI 신약**: in silico hits → in vitro binding → animal → IND. 단일 모델 prediction을 임상 결정에 사용 금지.
 
 ## 🔗 Graph
-- 관련: [[Neuroplasticity]], [[Neurodevelopmental-Disorders]], [[Neurorehabilitation-Post-Stroke]]
+- 관련: [[Neuroplasticity]], [[Neurodevelopmental Disorders]], [[Neurorehabilitation-Post-Stroke]]
 
 ## 🤖 LLM 활용
 - 환자 약물력 정리(다제 병용 위험 식별).
diff --git a/10_Wiki/Topics/AI_and_ML/Neuroplasticity.md b/10_Wiki/Topics/AI_and_ML/Neuroplasticity.md
index 511c32ff..e9a84684 100644
--- a/10_Wiki/Topics/AI_and_ML/Neuroplasticity.md
+++ b/10_Wiki/Topics/AI_and_ML/Neuroplasticity.md
@@ -106,7 +106,7 @@ def plasticity_score(bdnf_ng_ml, exercise_min_week, sleep_hr):
 - **연구 모델**: in vitro slice → LTP/LTD 측정. in vivo two-photon → spine turnover.
 
 ## 🔗 Graph
-- 관련: [[Neurorehabilitation-Post-Stroke]], [[Neurodevelopmental-Disorders]], [[Neuroprosthetics-Development]], [[Hebbian-Learning]]
+- 관련: [[Neurorehabilitation-Post-Stroke]], [[Neurodevelopmental Disorders]], [[Neuroprosthetics-Development]], [[Hebbian-Learning]]
 
 ## 🤖 LLM 활용
 - 학습 곡선 데이터에서 plasticity phase 추정(initial vs consolidation).
diff --git a/10_Wiki/Topics/AI_and_ML/Neurorehabilitation-Post-Stroke.md b/10_Wiki/Topics/AI_and_ML/Neurorehabilitation-Post-Stroke.md
index cb5bec41..6cea9721 100644
--- a/10_Wiki/Topics/AI_and_ML/Neurorehabilitation-Post-Stroke.md
+++ b/10_Wiki/Topics/AI_and_ML/Neurorehabilitation-Post-Stroke.md
@@ -107,7 +107,7 @@ def count_reps(emg, fs=1000, thresh=2.0):
 - **퇴원 후 telerehab**: adherence 측정 가능한 wearable + 주 1회 화상 follow.
 
 ## 🔗 Graph
-- 관련: [[Neuroplasticity]], [[Neuroprosthetics-Development]], [[Neurodevelopmental-Disorders]], [[BCI]]
+- 관련: [[Neuroplasticity]], [[Neuroprosthetics-Development]], [[Neurodevelopmental Disorders]], [[BCI]]
 
 ## 🤖 LLM 활용
 - 환자별 재활 계획 초안(FMA, Barthel 입력 → goal/timeline 생성, 임상의 검토 필수).
diff --git a/10_Wiki/Topics/AI_and_ML/Non-parametric-Models.md b/10_Wiki/Topics/AI_and_ML/Non-parametric-Models.md
index d916dde5..77146799 100644
--- a/10_Wiki/Topics/AI_and_ML/Non-parametric-Models.md
+++ b/10_Wiki/Topics/AI_and_ML/Non-parametric-Models.md
@@ -122,7 +122,7 @@ D, I = index.search(query.astype(np.float32), k=10)
 - **해석성**: shallow decision tree, kNN(prototype 분석).
 
 ## 🔗 Graph
-- 관련: [[K-Nearest-Neighbors-K-NN]], [[Decision-Tree]], [[Random-Forest]], [[Gradient-Boosting]], [[Gaussian-Process]], [[Kernel-Methods]]
+- 관련: [[K-Nearest-Neighbors-K-NN]], [[Decision Tree]], [[Random-Forest]], [[Gradient-Boosting]], [[Gaussian-Process]], [[Kernel-Methods]]
 - 도구: [[XGBoost]], [[LightGBM]], [[FAISS]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Objective-Functions.md b/10_Wiki/Topics/AI_and_ML/Objective-Functions.md
index ccf59a96..a16f5a76 100644
--- a/10_Wiki/Topics/AI_and_ML/Objective-Functions.md
+++ b/10_Wiki/Topics/AI_and_ML/Objective-Functions.md
@@ -28,7 +28,7 @@ tech_stack: { language: python, framework: pytorch }
 
 ## 🔗 Graph
 - Canonical: `[[Loss-Functions-Foundations]]`
-- Related: `[[Cross-Entropy-Loss]]`, ``, `[[Optimization-in-AI]]`, `[[Gradient-Descent]]`
+- Related: `[[Cross-Entropy Loss]]`, ``, `[[Optimization-in-AI]]`, `[[Gradient-Descent]]`
 
 ## 🕓 Changelog
 - 2026-05-08 Phase 1: 중복 감지, redirect 변환.
diff --git a/10_Wiki/Topics/AI_and_ML/Omni_Reference.md b/10_Wiki/Topics/AI_and_ML/Omni_Reference.md
index 2b3671bf..5b8a108b 100644
--- a/10_Wiki/Topics/AI_and_ML/Omni_Reference.md
+++ b/10_Wiki/Topics/AI_and_ML/Omni_Reference.md
@@ -28,7 +28,7 @@ Midjourney `--oref` 파라미터의 사용·튜닝은 canonical 문서에서 다
 
 ## 🔗 Graph
 - Canonical: `[[Omni_Reference_(--oref)]]`
-- Related: `[[Midjourney]]`, ``, `[[Style-Reference]]`
+- Related: `[[Midjourney]]`, ``, `[[Style Reference]]`
 
 ## 🕓 Changelog
 - 2026-05-08 Phase 1: 중복 감지, redirect 변환.
diff --git a/10_Wiki/Topics/AI_and_ML/On-Device_AI_Mobile_Gemma.md b/10_Wiki/Topics/AI_and_ML/On-Device_AI_Mobile_Gemma.md
index 3a666c21..af564a8a 100644
--- a/10_Wiki/Topics/AI_and_ML/On-Device_AI_Mobile_Gemma.md
+++ b/10_Wiki/Topics/AI_and_ML/On-Device_AI_Mobile_Gemma.md
@@ -120,7 +120,7 @@ for turn in conversation:
 ## 🔗 Graph
 
 - 부모: [[Edge AI]]
-- 응용: [[Privacy-Preserving AI]]
+- 응용: [[Privacy Preserving AI]]
 - Adjacent: [[LLM_Optimization_and_Deployment_Strategies|Quantization]], [[llama.cpp]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Ontology-Engineering.md b/10_Wiki/Topics/AI_and_ML/Ontology-Engineering.md
index ccf69bb4..667a52a4 100644
--- a/10_Wiki/Topics/AI_and_ML/Ontology-Engineering.md
+++ b/10_Wiki/Topics/AI_and_ML/Ontology-Engineering.md
@@ -136,8 +136,8 @@ def filter_docs_by_ontology(docs: list[str], target_concept: str, kg) -> list[st
 
 ## 🔗 Graph
 
-- 부모: [[Knowledge Representation]], [[Semantic Web]]
-- 변형: [[Knowledge Graphs]]
+- 부모: [[Knowledge Representation]], [[Semantic-Web]]
+- 변형: [[Knowledge-Graphs]]
 - Adjacent: [[OWL]], [[RDF]], [[GraphRAG]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Operation- Western Sun.md b/10_Wiki/Topics/AI_and_ML/Operation- Western Sun.md
index 5f5fcab9..ccc8dfc4 100644
--- a/10_Wiki/Topics/AI_and_ML/Operation- Western Sun.md	
+++ b/10_Wiki/Topics/AI_and_ML/Operation- Western Sun.md	
@@ -132,7 +132,7 @@ def rollout(state, depth=20):
 ## 🔗 Graph
 - 부모: [[Wargame]]
 - 응용: [[POMDP]]
-- Adjacent: [[Eugen-Systems]]
+- Adjacent: [[Eugen Systems]]
 
 ## 🤖 LLM 활용
 **언제**: 매 scenario briefing 생성, AAR (after-action report) 요약, doctrine 분석.
diff --git a/10_Wiki/Topics/AI_and_ML/Optimization-in-AI.md b/10_Wiki/Topics/AI_and_ML/Optimization-in-AI.md
index 8849fc9f..960a4448 100644
--- a/10_Wiki/Topics/AI_and_ML/Optimization-in-AI.md
+++ b/10_Wiki/Topics/AI_and_ML/Optimization-in-AI.md
@@ -147,7 +147,7 @@ opt = SophiaG(model.parameters(), lr=2e-4, betas=(0.965, 0.99),
 | 실험적 큰 batch | LAMB / Lion |
 
 ## 🔗 Graph
-- Related: `[[Loss-Functions-Foundations]]`, `[[데이터_사이언스_및_ML_엔지니어링|Gradient-Descent]]`, ``, ``, `[[Gradient-Clipping]]`, `[[Weight-Decay]]`
+- Related: `[[Loss-Functions-Foundations]]`, `[[데이터 사이언스 및 ML 엔지니어링|Gradient-Descent]]`, ``, ``, `[[Gradient-Clipping]]`, `[[Weight-Decay]]`
 
 ## 🤖 LLM 활용
 - HF `Trainer`는 AdamW + linear warmup이 기본 — `lr_scheduler_type="cosine"`로 변경 시 일반적으로 안정 향상.
diff --git a/10_Wiki/Topics/AI_and_ML/Out-of-distribution-Detection.md b/10_Wiki/Topics/AI_and_ML/Out-of-distribution-Detection.md
index 489a83cb..d4993206 100644
--- a/10_Wiki/Topics/AI_and_ML/Out-of-distribution-Detection.md
+++ b/10_Wiki/Topics/AI_and_ML/Out-of-distribution-Detection.md
@@ -160,7 +160,7 @@ def threshold_at_tpr(scores_id, tpr=0.95):
 ## 🔗 Graph
 - 부모: [[Anomaly-Detection]]
 - 변형: [[KNN]]
-- 응용: [[Active-Learning]]
+- 응용: [[Active Learning]]
 
 ## 🤖 LLM 활용
 **언제**: 매 high-stakes deployment, jailbreak filter, novel-prompt routing.
diff --git a/10_Wiki/Topics/AI_and_ML/POMDP.md b/10_Wiki/Topics/AI_and_ML/POMDP.md
index 4ace1774..facadba1 100644
--- a/10_Wiki/Topics/AI_and_ML/POMDP.md
+++ b/10_Wiki/Topics/AI_and_ML/POMDP.md
@@ -180,7 +180,7 @@ action = planner.plan(agent)
 **기본값**: SARSOP for tabular, Dreamer-V3 for pixel.
 
 ## 🔗 Graph
-- 부모: [[MDP]] · [[Reinforcement-Learning]] · [[Decision-Theory]]
+- 부모: [[MDP]] · [[Reinforcement-Learning]] · [[Decision Theory]]
 - 응용: [[Robotics]] · [[Operation- Western Sun]]
 - Adjacent: [[MCTS]]
 
diff --git a/10_Wiki/Topics/AI_and_ML/PageSpeed Insights.md b/10_Wiki/Topics/AI_and_ML/PageSpeed Insights.md
index c5f8046c..f42f9f3d 100644
--- a/10_Wiki/Topics/AI_and_ML/PageSpeed Insights.md	
+++ b/10_Wiki/Topics/AI_and_ML/PageSpeed Insights.md	
@@ -131,10 +131,10 @@ ci:
 **기본값**: Lighthouse CI for regression + web-vitals RUM for production reality.
 
 ## 🔗 Graph
-- 부모: [[Web-Performance]] · [[Core Web Vitals Optimization (INP, LCP 개선)|Core-Web-Vitals]]
+- 부모: [[Web-Performance]] · [[Core Web Vitals Optimization (INP, LCP, CLS)|Core-Web-Vitals]]
 - 변형: [[Lighthouse]]
 - 응용: [[SEO]] · [[RUM]]
-- Adjacent: [[CDN]] · [[Code-Splitting]]
+- Adjacent: [[CDN]] · [[Code Splitting]]
 
 ## 🤖 LLM 활용
 **언제**: 매 web app perf optimization, SEO improvement, CI regression catching.
diff --git a/10_Wiki/Topics/AI_and_ML/Parameter-Sharing.md b/10_Wiki/Topics/AI_and_ML/Parameter-Sharing.md
index b9901b8f..1ac0be3b 100644
--- a/10_Wiki/Topics/AI_and_ML/Parameter-Sharing.md
+++ b/10_Wiki/Topics/AI_and_ML/Parameter-Sharing.md
@@ -136,7 +136,7 @@ class MultiTaskModel(nn.Module):
 
 ## 🔗 Graph
 - 부모: [[Inductive-Bias]] · [[LLM_Optimization_and_Deployment_Strategies|Model-Compression]]
-- 응용: [[CNN]] · [[데이터_사이언스_및_ML_엔지니어링|RNN]] · [[Transformer]]
+- 응용: [[CNN]] · [[데이터 사이언스 및 ML 엔지니어링|RNN]] · [[Transformer]]
 
 ## 🤖 LLM 활용
 **언제**: 매 designing efficient architecture, debugging param count, applying inductive bias.
diff --git a/10_Wiki/Topics/AI_and_ML/Pareto-Principle.md b/10_Wiki/Topics/AI_and_ML/Pareto-Principle.md
index 7dec515f..3170ad77 100644
--- a/10_Wiki/Topics/AI_and_ML/Pareto-Principle.md
+++ b/10_Wiki/Topics/AI_and_ML/Pareto-Principle.md
@@ -142,7 +142,7 @@ for template, cost in spend.most_common():
 
 ## 🔗 Graph
 - 부모: [[Power-Law]]
-- 변형: [[80-20-Rule]] · [[Long-Tail]]
+- 변형: [[80/20 Rule]] · [[Long-Tail]]
 - 응용: [[Feature-Importance]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Perceptrons-Foundations.md b/10_Wiki/Topics/AI_and_ML/Perceptrons-Foundations.md
index d8a680aa..247f4a8a 100644
--- a/10_Wiki/Topics/AI_and_ML/Perceptrons-Foundations.md
+++ b/10_Wiki/Topics/AI_and_ML/Perceptrons-Foundations.md
@@ -138,7 +138,7 @@ class MixerBlock(nn.Module):
 ## 🔗 Graph
 - 변형: [[MLP]]
 - 응용: [[MoE]]
-- Adjacent: [[데이터_사이언스_및_ML_엔지니어링|Backpropagation]]
+- Adjacent: [[데이터 사이언스 및 ML 엔지니어링|Backpropagation]]
 
 ## 🤖 LLM 활용
 **언제**: 매 NN fundamentals, debugging gradient flow, designing custom architectures.
diff --git a/10_Wiki/Topics/AI_and_ML/Philosophy.md b/10_Wiki/Topics/AI_and_ML/Philosophy.md
index a6f00779..392c1f48 100644
--- a/10_Wiki/Topics/AI_and_ML/Philosophy.md
+++ b/10_Wiki/Topics/AI_and_ML/Philosophy.md
@@ -124,8 +124,8 @@ def is_falsifiable(hypothesis):
 ## 🔗 Graph
 - 부모: [[Knowledge]]
 - 변형: [[Epistemology]] · [[Logic]]
-- 응용: [[AI-Safety]] · [[AI_Safety_and_Alignment|AI-Alignment]] · [[AI_Safety_and_Alignment|Constitutional-AI]]
-- Adjacent: [[Decision-Theory]]
+- 응용: [[AI Safety]] · [[AI_Safety_and_Alignment|AI-Alignment]] · [[AI_Safety_and_Alignment|Constitutional-AI]]
+- Adjacent: [[Decision Theory]]
 
 ## 🤖 LLM 활용
 **언제**: 매 AI ethics framing, alignment design, sentience debate, epistemic claims.
diff --git a/10_Wiki/Topics/AI_and_ML/Plutchiks-Wheel-of-Emotions.md b/10_Wiki/Topics/AI_and_ML/Plutchiks-Wheel-of-Emotions.md
index 9b9fbb9f..6e464aa7 100644
--- a/10_Wiki/Topics/AI_and_ML/Plutchiks-Wheel-of-Emotions.md
+++ b/10_Wiki/Topics/AI_and_ML/Plutchiks-Wheel-of-Emotions.md
@@ -187,7 +187,7 @@ GOEMOTIONS_TO_PLUTCHIK = {
 **기본값**: 매 Plutchik 8 매 emotion classification baseline (interpretable + structured).
 
 ## 🔗 Graph
-- 부모: [[Affective-Computing]]
+- 부모: [[Affective Computing]]
 - 응용: [[Sentiment-Analysis]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Poetic-Computation.md b/10_Wiki/Topics/AI_and_ML/Poetic-Computation.md
index 4ef1ae49..ae96d088 100644
--- a/10_Wiki/Topics/AI_and_ML/Poetic-Computation.md
+++ b/10_Wiki/Topics/AI_and_ML/Poetic-Computation.md
@@ -175,7 +175,7 @@ function draw() {
 ## 🔗 Graph
 - 부모: [[Creative-Coding]]
 - 변형: [[Generative-Art]]
-- Adjacent: [[Three-js]]
+- Adjacent: [[Three.js]]
 
 ## 🤖 LLM 활용
 **언제**: 매 boilerplate sketch 의 generate, 매 stuck on math (rotation, easing) 매 explanation, 매 code golf 의 explore.
diff --git a/10_Wiki/Topics/AI_and_ML/Pooling.md b/10_Wiki/Topics/AI_and_ML/Pooling.md
index c02233ac..729b7bd3 100644
--- a/10_Wiki/Topics/AI_and_ML/Pooling.md
+++ b/10_Wiki/Topics/AI_and_ML/Pooling.md
@@ -132,7 +132,7 @@ def set_mean(x, mask):  # x:(B,N,D), mask:(B,N)
 **기본값**: feature map → GAP, downsample → strided conv (modern).
 
 ## 🔗 Graph
-- 부모: [[Deep_Learning]]
+- 부모: [[Deep Learning]]
 - 변형: [[Max_Pooling]] · [[Average_Pooling]]
 - 응용: [[Image-Classification-Mastery]] · [[ResNet]] · [[ViT]]
 
diff --git a/10_Wiki/Topics/AI_and_ML/Pose-Estimation.md b/10_Wiki/Topics/AI_and_ML/Pose-Estimation.md
index 074bc1c1..0f67bab0 100644
--- a/10_Wiki/Topics/AI_and_ML/Pose-Estimation.md
+++ b/10_Wiki/Topics/AI_and_ML/Pose-Estimation.md
@@ -140,7 +140,7 @@ pose  = out['pred_smpl_params']['body_pose']
 **기본값**: 2D는 RTMPose, 3D mesh는 4D-Humans.
 
 ## 🔗 Graph
-- 부모: [[Computer_Vision]] · [[Deep_Learning]]
+- 부모: [[Computer_Vision]] · [[Deep Learning]]
 - 변형: [[MediaPipe]]
 - Adjacent: [[Object_Detection]] · [[Keypoint_Detection]]
 
diff --git a/10_Wiki/Topics/AI_and_ML/Pre-processing-Data-for-AI.md b/10_Wiki/Topics/AI_and_ML/Pre-processing-Data-for-AI.md
index e2f529ef..90b34662 100644
--- a/10_Wiki/Topics/AI_and_ML/Pre-processing-Data-for-AI.md
+++ b/10_Wiki/Topics/AI_and_ML/Pre-processing-Data-for-AI.md
@@ -156,7 +156,7 @@ X_imp = imp.fit_transform(X)
 
 ## 🔗 Graph
 - 부모: [[Machine_Learning]] · [[Data_Engineering]]
-- 변형: [[Feature_Engineering]] · [[Feature_Scaling]]
+- 변형: [[Feature Engineering]] · [[Feature_Scaling]]
 - Adjacent: [[Data_Cleaning]] · [[Imbalanced_Data]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Precision-Recall-Tradeoff.md b/10_Wiki/Topics/AI_and_ML/Precision-Recall-Tradeoff.md
index 14fd1503..3a8e3bac 100644
--- a/10_Wiki/Topics/AI_and_ML/Precision-Recall-Tradeoff.md
+++ b/10_Wiki/Topics/AI_and_ML/Precision-Recall-Tradeoff.md
@@ -136,7 +136,7 @@ def tune_per_label(y_true, probs):  # (N, L)
 
 ## 🔗 Graph
 - 변형: [[ROC_AUC]]
-- 응용: [[Imbalanced_Data]] · [[Anomaly_Detection]] · [[Information Retrieval (IR)|Information_Retrieval]]
+- 응용: [[Imbalanced_Data]] · [[Anomaly Detection]] · [[Information Retrieval (IR)|Information_Retrieval]]
 - Adjacent: [[Threshold_Tuning]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Predictive-Coding.md b/10_Wiki/Topics/AI_and_ML/Predictive-Coding.md
index e393e6d8..540d9b53 100644
--- a/10_Wiki/Topics/AI_and_ML/Predictive-Coding.md
+++ b/10_Wiki/Topics/AI_and_ML/Predictive-Coding.md
@@ -137,7 +137,7 @@ def select_action(model, state, candidate_actions):
 - 부모: [[Computational-Neuroscience-RL|Computational-Neuroscience]] · [[Free-Energy-Principle]]
 - 변형: [[Active-Inference]]
 - 응용: [[Bayesian-Brain]] · [[Neuromorphic-Computing]]
-- Adjacent: [[데이터_사이언스_및_ML_엔지니어링|Backpropagation]] · [[Variational-Inference]]
+- Adjacent: [[데이터 사이언스 및 ML 엔지니어링|Backpropagation]] · [[Variational-Inference]]
 
 ## 🤖 LLM 활용
 **언제**: brain-inspired model design, biologically-plausible learning, continual learning, neuromorphic chips.
diff --git a/10_Wiki/Topics/AI_and_ML/Predictive_Maintenance.md b/10_Wiki/Topics/AI_and_ML/Predictive_Maintenance.md
index 1460eb9d..6824620d 100644
--- a/10_Wiki/Topics/AI_and_ML/Predictive_Maintenance.md
+++ b/10_Wiki/Topics/AI_and_ML/Predictive_Maintenance.md
@@ -161,9 +161,9 @@ forecast = pipe.predict(context=torch.tensor(history),
 **기본값**: anomaly = IsolationForest baseline → AE, RUL = PatchTST 또는 LSTM with clipped target.
 
 ## 🔗 Graph
-- 부모: [[Time_Series]] · [[Anomaly_Detection]]
+- 부모: [[Time_Series]] · [[Anomaly Detection]]
 - 변형: [[RUL_Prediction]]
-- Adjacent: [[클라우드_인프라_및_IaC_운영_표준|IoT]] · [[Edge_AI]] · [[Digital_Twin]]
+- Adjacent: [[클라우드 인프라 및 IaC 운영 표준|IoT]] · [[Edge_AI]] · [[Digital_Twin]]
 
 ## 🤖 LLM 활용
 **언제**: industrial sensor pipeline 설계, anomaly detection MVP, RUL model training, foundation model TS 적용.
diff --git a/10_Wiki/Topics/AI_and_ML/Problem Solving Test (PST).md b/10_Wiki/Topics/AI_and_ML/Problem Solving Test (PST).md
index 429c3a0a..6c69adff 100644
--- a/10_Wiki/Topics/AI_and_ML/Problem Solving Test (PST).md	
+++ b/10_Wiki/Topics/AI_and_ML/Problem Solving Test (PST).md	
@@ -131,7 +131,7 @@ Does that approach work?"
 - 부모: [[Problem_Solving|Problem-Solving]]
 - 변형: [[McKinsey-Solve]] · [[Case-Interview]]
 - 응용: [[Strategy-Consulting]]
-- Adjacent: [[MECE]] · [[Hypothesis-Tree]] · [[Pareto-Principle]]
+- Adjacent: [[MECE]] · [[Hypothesis Tree]] · [[Pareto-Principle]]
 
 ## 🤖 LLM 활용
 **언제**: structured business analysis, case interview prep, strategic decomposition of ambiguous problems.
diff --git a/10_Wiki/Topics/AI_and_ML/Prompt Weight.md b/10_Wiki/Topics/AI_and_ML/Prompt Weight.md
index 53b51b4c..4b759156 100644
--- a/10_Wiki/Topics/AI_and_ML/Prompt Weight.md	
+++ b/10_Wiki/Topics/AI_and_ML/Prompt Weight.md	
@@ -157,7 +157,7 @@ image = pipe(prompt_embeds=mixed).images[0]
 
 ## 🔗 Graph
 - 부모: [[Prompt_Engineering|Prompt-Engineering]] · [[AI 이미지 생성 (AI Image Generation)|Image-Generation]]
-- 변형: [[Negative-Prompt]]
+- 변형: [[Negative Prompt]]
 - 응용: [[Stable-Diffusion]] · [[FLUX]] · [[Midjourney]] · [[ComfyUI]]
 - Adjacent: [[CLIP]] · [[Diffusion-Models]] · [[ControlNet]]
 
diff --git a/10_Wiki/Topics/AI_and_ML/Pull_Request_PR.md b/10_Wiki/Topics/AI_and_ML/Pull_Request_PR.md
index 7659f545..220b69aa 100644
--- a/10_Wiki/Topics/AI_and_ML/Pull_Request_PR.md
+++ b/10_Wiki/Topics/AI_and_ML/Pull_Request_PR.md
@@ -172,7 +172,7 @@ praise: nice extraction of the retry helper
 ## 🔗 Graph
 - 부모: [[Code-Review]]
 - 변형: [[Trunk-Based-Development]]
-- 응용: [[CI-CD]] · [[GitHub-Actions]]
+- 응용: [[CI CD]] · [[GitHub-Actions]]
 - Adjacent: [[Conventional-Commits]] · [[Claude-Code]] · [[Refactoring_Best_Practices]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/PyTorch-Foundations.md b/10_Wiki/Topics/AI_and_ML/PyTorch-Foundations.md
index 9ffab048..6f063561 100644
--- a/10_Wiki/Topics/AI_and_ML/PyTorch-Foundations.md
+++ b/10_Wiki/Topics/AI_and_ML/PyTorch-Foundations.md
@@ -186,7 +186,7 @@ per_sample_grads = vmap(grad(loss), in_dims=(None, 0, 0))(params, X, Y)
 **기본값**: PyTorch 2.x + bf16 + torch.compile + AdamW.
 
 ## 🔗 Graph
-- 부모: [[Deep-Learning]]
+- 부모: [[Deep Learning]]
 - 변형: [[JAX]] · [[TensorFlow]]
 - 응용: [[Transformer_Architecture_and_LLM_Foundations|Transformers]] · [[Diffusion-Models]] · [[Reinforcement-Learning]]
 - Adjacent: [[Lightning]] · [[Triton]]
diff --git a/10_Wiki/Topics/AI_and_ML/Quality Gates.md b/10_Wiki/Topics/AI_and_ML/Quality Gates.md
index 9c24e158..e24c0e36 100644
--- a/10_Wiki/Topics/AI_and_ML/Quality Gates.md	
+++ b/10_Wiki/Topics/AI_and_ML/Quality Gates.md	
@@ -176,7 +176,7 @@ fi
 **기본값**: pre-commit + PR test/lint/type/coverage 80% + Trivy + branch protection.
 
 ## 🔗 Graph
-- 부모: [[CI-CD]] · [[DevOps]]
+- 부모: [[CI CD]] · [[DevOps]]
 - 응용: [[Code-Review]]
 - Adjacent: [[SonarQube]] · [[GitHub-Actions]] · [[Trunk-Based-Development]]
 
diff --git a/10_Wiki/Topics/AI_and_ML/Recommendation-Systems.md b/10_Wiki/Topics/AI_and_ML/Recommendation-Systems.md
index 3738f1b2..479acb8a 100644
--- a/10_Wiki/Topics/AI_and_ML/Recommendation-Systems.md
+++ b/10_Wiki/Topics/AI_and_ML/Recommendation-Systems.md
@@ -187,7 +187,7 @@ def bpr_loss(u, i_pos, i_neg, model):
 **기본값**: 매 industrial 의 two-tower retrieval + DCN/DIN ranking + business-rule rerank, 매 ANN (FAISS / ScaNN), 매 implicit feedback + sampled softmax. 매 LLM-as-reranker 의 emerging 2026 pattern for top-K refinement.
 
 ## 🔗 Graph
-- 부모: [[Machine-Learning]] · [[Information-Retrieval]]
+- 부모: [[Machine-Learning]] · [[Information Retrieval]]
 - 변형: [[Collaborative-Filtering]]
 - 응용: [[E-commerce]]
 - Adjacent: [[Embeddings]] · [[FAISS]]
diff --git a/10_Wiki/Topics/AI_and_ML/Reconciliation.md b/10_Wiki/Topics/AI_and_ML/Reconciliation.md
index 3b2fd2dd..3d238b69 100644
--- a/10_Wiki/Topics/AI_and_ML/Reconciliation.md
+++ b/10_Wiki/Topics/AI_and_ML/Reconciliation.md
@@ -159,7 +159,7 @@ ON CONFLICT (id) DO UPDATE SET
 - 부모: [[Distributed-Systems]] · [[Data-Engineering]]
 - 변형: [[CRDT]]
 - 응용: [[Local-First]]
-- Adjacent: [[Eventual-Consistency]] · [[CDC]] · [[Idempotency]]
+- Adjacent: [[Eventual Consistency]] · [[CDC]] · [[Idempotency]]
 
 ## 🤖 LLM 활용
 **언제**: 매 reconciliation rule 의 fuzzy match (description, amount tolerance), exception explanation, audit trail summary.
diff --git a/10_Wiki/Topics/AI_and_ML/Reference.md b/10_Wiki/Topics/AI_and_ML/Reference.md
index 55a8dd93..51bf294a 100644
--- a/10_Wiki/Topics/AI_and_ML/Reference.md
+++ b/10_Wiki/Topics/AI_and_ML/Reference.md
@@ -157,7 +157,7 @@ resp = client.messages.create(
 **기본값**: Zotero 의 personal library, BibTeX export 의 LaTeX, Anthropic citations API 의 RAG.
 
 ## 🔗 Graph
-- 부모: [[Memory-Management]] · [[Academic-Writing]]
+- 부모: [[Memory Management]] · [[Academic-Writing]]
 - 응용: [[RAG]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Reflow_and_Repaint.md b/10_Wiki/Topics/AI_and_ML/Reflow_and_Repaint.md
index 332544b5..b6d68a4d 100644
--- a/10_Wiki/Topics/AI_and_ML/Reflow_and_Repaint.md
+++ b/10_Wiki/Topics/AI_and_ML/Reflow_and_Repaint.md
@@ -172,9 +172,9 @@ new PerformanceObserver(list => {
 
 ## 🔗 Graph
 - 부모: [[Web-Performance]] · [[Browser-Rendering]]
-- 변형: [[Layout-Thrashing]] · [[Compositing]] · [[GPU-Acceleration]]
-- 응용: [[CSS-Animations]] · [[View-Transitions]]
-- Adjacent: [[Core Web Vitals Optimization (INP, LCP 개선)|Core-Web-Vitals]] · [[CLS]] · [[INP]]
+- 변형: [[Layout Thrashing]] · [[Compositing]] · [[GPU-Acceleration]]
+- 응용: [[CSS Animations & Performance]] · [[View-Transitions]]
+- Adjacent: [[Core Web Vitals Optimization (INP, LCP, CLS)|Core-Web-Vitals]] · [[CLS]] · [[INP]]
 
 ## 🤖 LLM 활용
 **언제**: 매 perf bottleneck explain (read flame chart), code review for layout thrash, CSS containment recommend.
diff --git a/10_Wiki/Topics/AI_and_ML/Render Tree.md b/10_Wiki/Topics/AI_and_ML/Render Tree.md
index b45e4201..0691912e 100644
--- a/10_Wiki/Topics/AI_and_ML/Render Tree.md	
+++ b/10_Wiki/Topics/AI_and_ML/Render Tree.md	
@@ -128,7 +128,7 @@ new PerformanceObserver((list) => {
 
 ## 🔗 Graph
 - 부모: [[Browser-Rendering]] · [[Critical-Rendering-Path]]
-- 응용: [[Web-Performance]] · [[Core Web Vitals Optimization (INP, LCP 개선)|Core-Web-Vitals]]
+- 응용: [[Web-Performance]] · [[Core Web Vitals Optimization (INP, LCP, CLS)|Core-Web-Vitals]]
 - Adjacent: [[Reflow_and_Repaint]] · [[CSSOM]] · [[DOM]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Reranking & Hybrid Search.md b/10_Wiki/Topics/AI_and_ML/Reranking & Hybrid Search.md
index 8c192af1..e1463aa3 100644
--- a/10_Wiki/Topics/AI_and_ML/Reranking & Hybrid Search.md	
+++ b/10_Wiki/Topics/AI_and_ML/Reranking & Hybrid Search.md	
@@ -20,11 +20,11 @@ github_commit: pending
 
 ## 핵심 요약 (specialization aspects)
 - "Hybrid Search" 측면은 매 canonical 문서의 "Hybrid Search Stack" section 매 cover (BM25 + dense + RRF + rerank).
-- 별도 deep dive는 [[Hybrid-Search]] · [[BM25]] · [[Dense-Retrieval]] · [[RRF]] 참조.
+- 별도 deep dive는 [[Hybrid Search]] · [[BM25]] · [[Dense-Retrieval]] · [[RRF]] 참조.
 
 ## 🔗 Graph
 - 부모: [[Reranking]] (canonical)
-- Adjacent: [[Hybrid-Search]] · [[BM25]] · [[Dense-Retrieval]] · [[RRF]] · [[RAG]]
+- Adjacent: [[Hybrid Search]] · [[BM25]] · [[Dense-Retrieval]] · [[RRF]] · [[RAG]]
 
 ## 🕓 변경 이력
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/Reranking.md b/10_Wiki/Topics/AI_and_ML/Reranking.md
index 270f6a06..4945b72b 100644
--- a/10_Wiki/Topics/AI_and_ML/Reranking.md
+++ b/10_Wiki/Topics/AI_and_ML/Reranking.md
@@ -130,9 +130,9 @@ results = rag.search(query="foo", k=10)
 **기본값**: BM25 + BGE-M3 dense → RRF top-100 → BGE-Reranker-v2.5 top-5.
 
 ## 🔗 Graph
-- 부모: [[Information-Retrieval]] · [[RAG]]
+- 부모: [[Information Retrieval]] · [[RAG]]
 - 변형: [[ColBERT]] · [[RRF]]
-- 응용: [[Semantic Search|Semantic-Search]] · [[Hybrid-Search]]
+- 응용: [[Semantic Search|Semantic-Search]] · [[Hybrid Search]]
 - Adjacent: [[BM25]] · [[Dense-Retrieval]] · [[Embeddings]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/ResNet-Architectures.md b/10_Wiki/Topics/AI_and_ML/ResNet-Architectures.md
index 82682f3f..ee404125 100644
--- a/10_Wiki/Topics/AI_and_ML/ResNet-Architectures.md
+++ b/10_Wiki/Topics/AI_and_ML/ResNet-Architectures.md
@@ -140,7 +140,7 @@ model.fc = nn.Linear(model.fc.in_features, num_classes)  # train only head
 **기본값**: ResNet-50 의 baseline, ConvNeXt-Base 의 production target.
 
 ## 🔗 Graph
-- 부모: [[CNN]] · [[Deep-Learning]]
+- 부모: [[CNN]] · [[Deep Learning]]
 - 응용: [[Image-Classification-Mastery]] · [[Object-Detection]] · [[Diffusion-Models]]
 - Adjacent: [[Skip-Connection]]
 
diff --git a/10_Wiki/Topics/AI_and_ML/Research.md b/10_Wiki/Topics/AI_and_ML/Research.md
index d711d043..838d417f 100644
--- a/10_Wiki/Topics/AI_and_ML/Research.md
+++ b/10_Wiki/Topics/AI_and_ML/Research.md
@@ -161,7 +161,7 @@ but BM25 ≥ DPR on TriviaQA where queries copy doc tokens.
 
 → Hybrid search is robust: pick BM25 for lexical, dense for paraphrase.
 
-Connects to: [[Hybrid-Search]] · [[BM25]] · [[Dense-Retrieval]]
+Connects to: [[Hybrid Search]] · [[BM25]] · [[Dense-Retrieval]]
 ```
 
 ## 매 결정 기준
@@ -176,7 +176,7 @@ Connects to: [[Hybrid-Search]] · [[BM25]] · [[Dense-Retrieval]]
 **기본값**: Connected Papers seed → S2 snowball → AI extract → manual synthesis with steelman.
 
 ## 🔗 Graph
-- 부모: [[Scientific-Method]]
+- 부모: [[Scientific Method]]
 - 변형: [[Literature-Review]] · [[Tech-Radar]]
 - Adjacent: [[Hallucination]] · [[RAG]]
 
diff --git a/10_Wiki/Topics/AI_and_ML/Reward Prediction Error.md b/10_Wiki/Topics/AI_and_ML/Reward Prediction Error.md
index 026ae7dd..c387c9b5 100644
--- a/10_Wiki/Topics/AI_and_ML/Reward Prediction Error.md	
+++ b/10_Wiki/Topics/AI_and_ML/Reward Prediction Error.md	
@@ -132,7 +132,7 @@ def simulate_dopamine(trial, cue_time, reward_time, predicted=True):
 - 부모: [[Reinforcement Learning]]
 - 변형: [[TD Learning]] · [[Distributional RL]]
 - 응용: [[Actor-Critic]] · [[RLHF]]
-- Adjacent: [[Dopamine]] · [[데이터_사이언스_및_ML_엔지니어링|Bellman Equation]]
+- Adjacent: [[Dopamine]] · [[데이터 사이언스 및 ML 엔지니어링|Bellman Equation]]
 
 ## 🤖 LLM 활용
 **언제**: RLHF/DPO/GRPO 의 advantage computation 의 understand, 의 reward model debugging.
diff --git a/10_Wiki/Topics/AI_and_ML/Robotics.md b/10_Wiki/Topics/AI_and_ML/Robotics.md
index ab93f53c..6afa6121 100644
--- a/10_Wiki/Topics/AI_and_ML/Robotics.md
+++ b/10_Wiki/Topics/AI_and_ML/Robotics.md
@@ -182,7 +182,7 @@ def randomize_env(env):
 
 ## 🔗 Graph
 - 부모: [[Embodied AI]] · [[Control Theory]] · [[Computer Vision]]
-- 변형: [[Surgical Robotics]]
+- 변형: [[Surgical-Robotics]]
 - 응용: [[Self-Driving]]
 - Adjacent: [[Reinforcement Learning]] · [[SLAM]] · [[MPC]]
 
diff --git a/10_Wiki/Topics/AI_and_ML/SCADA.md b/10_Wiki/Topics/AI_and_ML/SCADA.md
index df9dab67..aa2f3e19 100644
--- a/10_Wiki/Topics/AI_and_ML/SCADA.md
+++ b/10_Wiki/Topics/AI_and_ML/SCADA.md
@@ -140,8 +140,8 @@ sitewise.batch_put_asset_property_value(entries=[{
 
 ## 🔗 Graph
 - 부모: [[Industrial-IoT]]
-- 응용: [[Predictive-Maintenance]]
-- Adjacent: [[Digital-Twin]] · [[Edge Computing|Edge-Computing]]
+- 응용: [[Predictive Maintenance]]
+- Adjacent: [[Digital Twin]] · [[Edge Computing|Edge-Computing]]
 
 ## 🤖 LLM 활용
 **언제**: alarm summarization, anomaly RCA from historian text, operator copilot for procedure lookup.
diff --git a/10_Wiki/Topics/AI_and_ML/SCA_Fundamentals.md b/10_Wiki/Topics/AI_and_ML/SCA_Fundamentals.md
index d2a45379..078c2662 100644
--- a/10_Wiki/Topics/AI_and_ML/SCA_Fundamentals.md
+++ b/10_Wiki/Topics/AI_and_ML/SCA_Fundamentals.md
@@ -161,8 +161,8 @@ grype dir:./app -o sarif --fail-on high \
 **기본값**: Trivy in CI + Dependabot for upgrades + CycloneDX SBOM + Sigstore signing.
 
 ## 🔗 Graph
-- 부모: [[CI_CD 파이프라인 및 IDE 통합 보안|DevSecOps]] · [[Application-Security]]
-- 변형: [[SAST]] · [[보안_및_시스템_신뢰성_표준|DAST]]
+- 부모: [[CI/CD Pipeline & IDE Security Integration|DevSecOps]] · [[Application-Security]]
+- 변형: [[SAST]] · [[보안 및 시스템 신뢰성 표준|DAST]]
 - 응용: [[SBOM]]
 - Adjacent: [[Supply-Chain-Security]] · [[SLSA]] · [[Sigstore]]
 
diff --git a/10_Wiki/Topics/AI_and_ML/SCM (Supply Chain Management).md b/10_Wiki/Topics/AI_and_ML/SCM (Supply Chain Management).md
index 9f7e18a9..54f4ca13 100644
--- a/10_Wiki/Topics/AI_and_ML/SCM (Supply Chain Management).md	
+++ b/10_Wiki/Topics/AI_and_ML/SCM (Supply Chain Management).md	
@@ -169,7 +169,7 @@ flow_cost, flow_dict = nx.network_simplex(G, demand={"DC_Dallas": 300, "Supplier
 - 부모: [[Operations-Research]]
 - 변형: [[S&OP]]
 - 응용: [[ERP]]
-- Adjacent: [[Time-Series-Analysis|Time-Series-Forecasting]] · [[Digital-Twin]]
+- Adjacent: [[Time-Series-Analysis|Time-Series-Forecasting]] · [[Digital Twin]]
 
 ## 🤖 LLM 활용
 **언제**: supplier risk synthesis from news, RFP analysis, procurement copilot, demand sensing from external signals (weather, social).
diff --git a/10_Wiki/Topics/AI_and_ML/SEO.md b/10_Wiki/Topics/AI_and_ML/SEO.md
index 77176259..69d4b329 100644
--- a/10_Wiki/Topics/AI_and_ML/SEO.md
+++ b/10_Wiki/Topics/AI_and_ML/SEO.md
@@ -194,7 +194,7 @@ X is a Y that does Z.  <!-- 매 첫 sentence definitional -->
 ## 🔗 Graph
 - 부모: [[Web Performance]]
 - 변형: [[GEO]]
-- 응용: [[Core Web Vitals Optimization (INP, LCP 개선)|Core Web Vitals]]
+- 응용: [[Core Web Vitals Optimization (INP, LCP, CLS)|Core Web Vitals]]
 - Adjacent: [[Search-Optimization]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/SME.md b/10_Wiki/Topics/AI_and_ML/SME.md
index 1e0014f3..ab48d03a 100644
--- a/10_Wiki/Topics/AI_and_ML/SME.md
+++ b/10_Wiki/Topics/AI_and_ML/SME.md
@@ -140,7 +140,7 @@ Categories: {ALLOWED_GAAP_CATEGORIES}
 ## 🔗 Graph
 - 부모: [[Business-Strategy]]
 - 변형: [[Domain-Expert]] · [[Startup]]
-- 응용: [[RLHF]] · [[Active-Learning]]
+- 응용: [[RLHF]] · [[Active Learning]]
 - Adjacent: [[LLM-as-Judge]] · [[RAG]] · [[SaaS]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Scalability-in-AI-Systems.md b/10_Wiki/Topics/AI_and_ML/Scalability-in-AI-Systems.md
index a85b900f..c97251fe 100644
--- a/10_Wiki/Topics/AI_and_ML/Scalability-in-AI-Systems.md
+++ b/10_Wiki/Topics/AI_and_ML/Scalability-in-AI-Systems.md
@@ -183,7 +183,7 @@ decode_stream = decode_client.decode(kv_ref=prefill_resp.kv_ref, max_tokens=512)
 - 부모: [[Distributed-Systems]]
 - 변형: [[Pipeline-Parallelism]]
 - 응용: [[Fine-tuning]]
-- Adjacent: [[LLM_Optimization_and_Deployment_Strategies|vLLM]] · [[Flash-Attention]] · [[LLM_Optimization_and_Deployment_Strategies|Quantization]]
+- Adjacent: [[LLM_Optimization_and_Deployment_Strategies|vLLM]] · [[Flash Attention]] · [[LLM_Optimization_and_Deployment_Strategies|Quantization]]
 
 ## 🤖 LLM 활용
 **언제**: capacity planning estimates, config-file generation (deepspeed, accelerate), debugging OOM via log triage, scaling-law back-of-envelope.
diff --git a/10_Wiki/Topics/AI_and_ML/Secrets_Detection.md b/10_Wiki/Topics/AI_and_ML/Secrets_Detection.md
index 1e87300c..b4c00451 100644
--- a/10_Wiki/Topics/AI_and_ML/Secrets_Detection.md
+++ b/10_Wiki/Topics/AI_and_ML/Secrets_Detection.md
@@ -195,7 +195,7 @@ $ doppler run -- python app.py
 **기본값**: pre-commit (gitleaks) + CI (gitleaks Action) + GitHub Push Protection + Doppler.
 
 ## 🔗 Graph
-- 부모: [[Application Security]] · [[CI_CD 파이프라인 및 IDE 통합 보안|DevSecOps]]
+- 부모: [[Application Security]] · [[CI/CD Pipeline & IDE Security Integration|DevSecOps]]
 - 변형: [[Gitleaks]]
 - Adjacent: [[Key Rotation]]
 
diff --git a/10_Wiki/Topics/AI_and_ML/Secure-Multi-party-Computation.md b/10_Wiki/Topics/AI_and_ML/Secure-Multi-party-Computation.md
index 11b86367..80beeec1 100644
--- a/10_Wiki/Topics/AI_and_ML/Secure-Multi-party-Computation.md
+++ b/10_Wiki/Topics/AI_and_ML/Secure-Multi-party-Computation.md
@@ -163,7 +163,7 @@ def psi_dh(a_set, b_set):
 
 ## 🔗 Graph
 - 부모: [[Practical-Cryptography|Cryptography]] · [[Privacy-Preserving ML]]
-- 변형: [[Homomorphic Encryption]]
+- 변형: [[Homomorphic Encryption (HE)]]
 - 응용: [[Federated Learning]]
 - Adjacent: [[Differential Privacy]]
 
diff --git a/10_Wiki/Topics/AI_and_ML/Sensitivity-Analysis.md b/10_Wiki/Topics/AI_and_ML/Sensitivity-Analysis.md
index 71ca659f..008854cc 100644
--- a/10_Wiki/Topics/AI_and_ML/Sensitivity-Analysis.md
+++ b/10_Wiki/Topics/AI_and_ML/Sensitivity-Analysis.md
@@ -122,7 +122,7 @@ print(sm.stats.anova_lm(m, typ=2))
 - 부모: [[Statistics]] · [[Epistemic-Uncertainty|Uncertainty-Quantification]]
 - 변형: [[SHAP]]
 - 응용: [[Hyperparameters|Hyperparameter-Tuning]]
-- Adjacent: [[Bayesian-Inference]] · [[Monte-Carlo]]
+- Adjacent: [[Bayesian Inference]] · [[Monte-Carlo]]
 
 ## 🤖 LLM 활용
 **언제**: simulation/model에서 어느 input이 결과 좌우하는지 정량화. ML feature 중요도 ranking.
diff --git a/10_Wiki/Topics/AI_and_ML/Sequence-to-Sequence-Models.md b/10_Wiki/Topics/AI_and_ML/Sequence-to-Sequence-Models.md
index 3f92d2bb..bf52a1cc 100644
--- a/10_Wiki/Topics/AI_and_ML/Sequence-to-Sequence-Models.md
+++ b/10_Wiki/Topics/AI_and_ML/Sequence-to-Sequence-Models.md
@@ -120,10 +120,10 @@ pkv = out.past_key_values  # 매 next step 에 재사용
 **기본값**: decoder-only LLM via API.
 
 ## 🔗 Graph
-- 부모: [[Deep-Learning]] · [[NLP]]
+- 부모: [[Deep Learning]] · [[NLP]]
 - 변형: [[Transformer]] · [[Selective State Space Models (Mamba)]] · [[Encoder-Decoder]]
 - 응용: [[Summarization]] · [[Code-Generation]]
-- Adjacent: [[Attention-Mechanism]] · [[Tokenization]]
+- Adjacent: [[Attention Mechanism]] · [[Tokenization]]
 
 ## 🤖 LLM 활용
 **언제**: input → output 변환 task 정의 가능. 매 API call 로 충분.
diff --git a/10_Wiki/Topics/AI_and_ML/Sequence_Diagram.md b/10_Wiki/Topics/AI_and_ML/Sequence_Diagram.md
index 9a2bddd8..bfba2e3d 100644
--- a/10_Wiki/Topics/AI_and_ML/Sequence_Diagram.md
+++ b/10_Wiki/Topics/AI_and_ML/Sequence_Diagram.md
@@ -150,7 +150,7 @@ sequenceDiagram
 
 ## 🔗 Graph
 - 변형: [[Component-Diagram]]
-- Adjacent: [[Mermaid]] · [[PlantUML]] · [[Distributed-Tracing]]
+- Adjacent: [[Mermaid]] · [[PlantUML]] · [[Distributed Tracing]]
 
 ## 🤖 LLM 활용
 **언제**: code/log → diagram 자동화, refactor 후 docs 갱신, agent flow 설명.
diff --git a/10_Wiki/Topics/AI_and_ML/Simulation-Environments.md b/10_Wiki/Topics/AI_and_ML/Simulation-Environments.md
index 093f4293..153bb36c 100644
--- a/10_Wiki/Topics/AI_and_ML/Simulation-Environments.md
+++ b/10_Wiki/Topics/AI_and_ML/Simulation-Environments.md
@@ -188,7 +188,7 @@ for _ in range(100):
 ## 🔗 Graph
 - 부모: [[Reinforcement-Learning]] · [[Robotics]]
 - 응용: [[Sim2Real]] · [[Synthetic-Data]] · [[Embodied-AI]]
-- Adjacent: [[3D-Gaussian-Splatting]]
+- Adjacent: [[3D_Gaussian_Splatting]]
 
 ## 🤖 LLM 활용
 **언제**: scenario / task description → env config gen, reward function 의 draft, scene XML scaffold.
diff --git a/10_Wiki/Topics/AI_and_ML/Skybound_Asset_Generation_Roadmap.md b/10_Wiki/Topics/AI_and_ML/Skybound_Asset_Generation_Roadmap.md
index 96ccf73d..fa41816b 100644
--- a/10_Wiki/Topics/AI_and_ML/Skybound_Asset_Generation_Roadmap.md
+++ b/10_Wiki/Topics/AI_and_ML/Skybound_Asset_Generation_Roadmap.md
@@ -161,7 +161,7 @@ def asset_pipeline(brief):
 **기본값**: AI bulk gen + human gate at every step. 매 raw gen ship X.
 
 ## 🔗 Graph
-- 부모: [[Game-Asset-Pipeline]] · [[Generative-AI]]
+- 부모: [[Game Asset Pipeline — Texture / Audio / Mesh 압축]] · [[Generative-AI]]
 - 변형: [[Skybound Protocol 코드리뷰]] · [[Skybound_Firepower_Overclock_v1.5]]
 - 응용: [[FLUX]] · [[ComfyUI]]
 - Adjacent: [[IP-Adapter]]
diff --git a/10_Wiki/Topics/AI_and_ML/Skybound_Firepower_Overclock_v1.5.md b/10_Wiki/Topics/AI_and_ML/Skybound_Firepower_Overclock_v1.5.md
index 8de56918..6bbb23f4 100644
--- a/10_Wiki/Topics/AI_and_ML/Skybound_Firepower_Overclock_v1.5.md
+++ b/10_Wiki/Topics/AI_and_ML/Skybound_Firepower_Overclock_v1.5.md
@@ -176,7 +176,7 @@ interface OverclockTelemetry {
 ## 🔗 Graph
 - 부모: [[게임 밸런싱|Game-Balance]]
 - 변형: [[Skybound Protocol 코드리뷰]] · [[Skybound_Asset_Generation_Roadmap]]
-- 응용: [[Live-Ops]]
+- 응용: [[LiveOps]]
 - Adjacent: [[Telemetry]] · [[Build-Diversity]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Snyk Checkmarx Endor Labs 등 종합 애플리케이션 보안 플랫폼.md b/10_Wiki/Topics/AI_and_ML/Snyk Checkmarx Endor Labs 등 종합 애플리케이션 보안 플랫폼.md
index c5b70a33..1e3feaab 100644
--- a/10_Wiki/Topics/AI_and_ML/Snyk Checkmarx Endor Labs 등 종합 애플리케이션 보안 플랫폼.md	
+++ b/10_Wiki/Topics/AI_and_ML/Snyk Checkmarx Endor Labs 등 종합 애플리케이션 보안 플랫폼.md	
@@ -167,7 +167,7 @@ repos:
 **기본값**: Semgrep + Trivy (open) at minimum, 매 commercial pick by org need.
 
 ## 🔗 Graph
-- 부모: [[Application-Security]] · [[CI_CD 파이프라인 및 IDE 통합 보안|DevSecOps]]
+- 부모: [[Application-Security]] · [[CI/CD Pipeline & IDE Security Integration|DevSecOps]]
 - 변형: [[Semgrep]]
 - 응용: [[ASPM]] · [[SBOM]] · [[Supply-Chain-Security]]
 - Adjacent: [[Smart-Contract-Auditing]] · [[CodeQL]] · [[Trivy]] · [[Gitleaks]]
diff --git a/10_Wiki/Topics/AI_and_ML/Soft Navigation.md b/10_Wiki/Topics/AI_and_ML/Soft Navigation.md
index 9228a2bc..1801be13 100644
--- a/10_Wiki/Topics/AI_and_ML/Soft Navigation.md	
+++ b/10_Wiki/Topics/AI_and_ML/Soft Navigation.md	
@@ -175,7 +175,7 @@ onINP(m => sendBeacon('/v', m), { reportSoftNavs: true });
 - 부모: [[SPA]] · [[Web-Performance]]
 - 변형: [[Turbo]] · [[HTMX]]
 - 응용: [[View-Transitions-API]] · [[Web-Vitals]]
-- Adjacent: [[INP]] · [[LCP]] · [[Streaming-SSR]]
+- Adjacent: [[INP]] · [[LCP]] · [[Streaming SSR]]
 
 ## 🤖 LLM 활용
 **언제**: 매 router code scaffolding, 매 RUM analytics dashboard query gen, 매 view-transition CSS draft.
diff --git a/10_Wiki/Topics/AI_and_ML/Software Architecture Pattern.md b/10_Wiki/Topics/AI_and_ML/Software Architecture Pattern.md
index e324bddb..340c4625 100644
--- a/10_Wiki/Topics/AI_and_ML/Software Architecture Pattern.md	
+++ b/10_Wiki/Topics/AI_and_ML/Software Architecture Pattern.md	
@@ -215,9 +215,9 @@ services:
 
 ## 🔗 Graph
 - 부모: [[System-Design]]
-- 변형: [[Microservices]] · [[Event-Driven-Architecture]] · [[Hexagonal-Architecture]] · [[CQRS]]
-- 응용: [[Modular-Monolith]]
-- Adjacent: [[API-Gateway]] · [[Service-Mesh]] · [[Edge Computing|Edge-Computing]]
+- 변형: [[Microservices]] · [[Event-Driven-Architecture]] · [[Hexagonal Architecture]] · [[CQRS]]
+- 응용: [[Modular Monolith]]
+- Adjacent: [[API-Gateway]] · [[Service Mesh]] · [[Edge Computing|Edge-Computing]]
 
 ## 🤖 LLM 활용
 **언제**: ADR draft, 매 pattern fit review (problem → pattern recommendation), trade-off matrix generate.
diff --git a/10_Wiki/Topics/AI_and_ML/Software_Composition_Analysis_(SCA).md b/10_Wiki/Topics/AI_and_ML/Software_Composition_Analysis_(SCA).md
index 16bb18b7..e34dfe97 100644
--- a/10_Wiki/Topics/AI_and_ML/Software_Composition_Analysis_(SCA).md
+++ b/10_Wiki/Topics/AI_and_ML/Software_Composition_Analysis_(SCA).md
@@ -180,8 +180,8 @@ print("PASS")
 **기본값**: Dependabot + Trivy in CI; 매 enterprise 면 Snyk add.
 
 ## 🔗 Graph
-- 부모: [[CI_CD 파이프라인 및 IDE 통합 보안|DevSecOps]] · [[Application-Security]]
-- 변형: [[SAST]] · [[보안_및_시스템_신뢰성_표준|DAST]]
+- 부모: [[CI/CD Pipeline & IDE Security Integration|DevSecOps]] · [[Application-Security]]
+- 변형: [[SAST]] · [[보안 및 시스템 신뢰성 표준|DAST]]
 - 응용: [[SBOM]] · [[Supply-Chain-Security]] · [[SLSA]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Solution.md b/10_Wiki/Topics/AI_and_ML/Solution.md
index 2396d90d..6aed70c1 100644
--- a/10_Wiki/Topics/AI_and_ML/Solution.md
+++ b/10_Wiki/Topics/AI_and_ML/Solution.md
@@ -161,7 +161,7 @@ def should_pursue(option) -> bool:
 **기본값**: ADR + 3+ option enumeration + reverse-doc.
 
 ## 🔗 Graph
-- 부모: [[Design-Thinking]]
+- 부모: [[Design Thinking]]
 - 변형: [[RFC-Process]] · [[ADR]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/SonarQube.md b/10_Wiki/Topics/AI_and_ML/SonarQube.md
index 6b9d8393..05894de2 100644
--- a/10_Wiki/Topics/AI_and_ML/SonarQube.md
+++ b/10_Wiki/Topics/AI_and_ML/SonarQube.md
@@ -180,8 +180,8 @@ sys.exit(0 if status == "OK" else 1)
 ## 🔗 Graph
 - 부모: [[Static-Analysis]] · [[SAST]] · [[Code-Quality]]
 - 변형: [[CodeQL]] · [[Semgrep]]
-- 응용: [[Quality-Gate]] · [[CI-CD]] · [[Tech-Debt]]
-- Adjacent: [[SCA_Fundamentals|SCA]] · [[OWASP-Top-10]] · [[Clean-Code]]
+- 응용: [[Quality-Gate]] · [[CI CD]] · [[Tech-Debt]]
+- Adjacent: [[SCA_Fundamentals|SCA]] · [[OWASP Top 10]] · [[Clean-Code]]
 
 ## 🤖 LLM 활용
 **언제**: 매 issue triage summary, 매 false-positive review, 매 custom rule draft (Sonar Way deviation), 매 SonarLint + Cursor inline-fix.
diff --git a/10_Wiki/Topics/AI_and_ML/Sparse Attention.md b/10_Wiki/Topics/AI_and_ML/Sparse Attention.md
index ad362c6b..3308f900 100644
--- a/10_Wiki/Topics/AI_and_ML/Sparse Attention.md	
+++ b/10_Wiki/Topics/AI_and_ML/Sparse Attention.md	
@@ -152,8 +152,8 @@ def topk_attention(q, k, v, top_k=128):
 **기본값**: 매 inference 매 SWA + FlashAttention; 매 pretraining 매 native sparse (NSA-like).
 
 ## 🔗 Graph
-- 부모: [[Attention-Mechanism]] · [[Transformer]]
-- 변형: [[FlashAttention]] · [[Mamba]]
+- 부모: [[Attention Mechanism]] · [[Transformer]]
+- 변형: [[Flash Attention]] · [[Mamba]]
 - Adjacent: [[KV-Cache]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Spatial Partitioning.md b/10_Wiki/Topics/AI_and_ML/Spatial Partitioning.md
index a607fd22..64f3d9ec 100644
--- a/10_Wiki/Topics/AI_and_ML/Spatial Partitioning.md	
+++ b/10_Wiki/Topics/AI_and_ML/Spatial Partitioning.md	
@@ -166,9 +166,9 @@ struct HashJob : IJobParallelFor {
 **기본값**: dynamic 의 Spatial Hash, static 의 BVH. 매 GPU 가능 하면 hardware BVH 우선.
 
 ## 🔗 Graph
-- 부모: [[Computational-Geometry]]
+- 부모: [[Computational Geometry (Frontend)]]
 - 변형: [[BVH]] · [[Octree]] · [[KD-Tree]]
-- 응용: [[Collision-Detection]] · [[Frustum-Culling]] · [[K-Nearest-Neighbors-K-NN|Nearest-Neighbor-Search]]
+- 응용: [[Collision-Detection]] · [[Frustum Culling]] · [[K-Nearest-Neighbors-K-NN|Nearest-Neighbor-Search]]
 - Adjacent: [[Physics-Engine]] · [[GPU-Compute]] · [[ECS]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Stages-of-Grief.md b/10_Wiki/Topics/AI_and_ML/Stages-of-Grief.md
index bc3aee65..c072f160 100644
--- a/10_Wiki/Topics/AI_and_ML/Stages-of-Grief.md
+++ b/10_Wiki/Topics/AI_and_ML/Stages-of-Grief.md
@@ -100,7 +100,7 @@ tech_stack:
 
 ## 🔗 Graph
 - 부모: [[Psychology]]
-- 응용: [[Change-Management]]
+- 응용: [[Change Management]]
 - Adjacent: [[Resilience]] · [[CBT]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Startup Projects.md b/10_Wiki/Topics/AI_and_ML/Startup Projects.md
index a7ff7c36..03073cb1 100644
--- a/10_Wiki/Topics/AI_and_ML/Startup Projects.md	
+++ b/10_Wiki/Topics/AI_and_ML/Startup Projects.md	
@@ -135,7 +135,7 @@ if (usage > plan.dailyTokenCap) throw new Error("Daily cap exceeded — upgrade"
 
 ## 🔗 Graph
 - 응용: [[SaaS]]
-- Adjacent: [[Lean-Startup]]
+- Adjacent: [[Lean Startup]]
 
 ## 🤖 LLM 활용
 **언제**: idea validation script, landing copy, MVP scaffolding (Claude Code), launch tweet drafts, customer support drafts.
diff --git a/10_Wiki/Topics/AI_and_ML/Startup.md b/10_Wiki/Topics/AI_and_ML/Startup.md
index 08b10a44..e42e1e55 100644
--- a/10_Wiki/Topics/AI_and_ML/Startup.md
+++ b/10_Wiki/Topics/AI_and_ML/Startup.md
@@ -179,7 +179,7 @@ def pivot_signal(metrics):
 
 ## 🔗 Graph
 - 부모: [[Business-Strategy]]
-- 변형: [[Lean-Startup]]
+- 변형: [[Lean Startup]]
 - 응용: [[MVP]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/State-Space.md b/10_Wiki/Topics/AI_and_ML/State-Space.md
index c1932e31..80001fb8 100644
--- a/10_Wiki/Topics/AI_and_ML/State-Space.md
+++ b/10_Wiki/Topics/AI_and_ML/State-Space.md
@@ -152,7 +152,7 @@ class JambaBlock(nn.Module):
 - 부모: [[Control-Theory]] · [[Sequence-to-Sequence-Models|Sequence-Modeling]]
 - 변형: [[S4]] · [[Mamba]] · [[Linear-RNN]]
 - 응용: [[Kalman-Filter-and-State-Tracking|Kalman-Filter]] · [[Time-Series-Analysis|Time-Series-Forecasting]]
-- Adjacent: [[Transformer]] · [[데이터_사이언스_및_ML_엔지니어링|RNN]]
+- Adjacent: [[Transformer]] · [[데이터 사이언스 및 ML 엔지니어링|RNN]]
 
 ## 🤖 LLM 활용
 **언제**: SSM literature 정리, mamba-ssm boilerplate, control-system identification 의 sympy / numpy code.
diff --git a/10_Wiki/Topics/AI_and_ML/Stem-Analysis.md b/10_Wiki/Topics/AI_and_ML/Stem-Analysis.md
index bf116e28..2abe1595 100644
--- a/10_Wiki/Topics/AI_and_ML/Stem-Analysis.md
+++ b/10_Wiki/Topics/AI_and_ML/Stem-Analysis.md
@@ -160,7 +160,7 @@ print(lan.stem("organic"))       # 'org' — 매 false conflation
 **기본값**: 매 Snowball (English/multi-lang) + spaCy lemmatizer (POS 가 중요한 경우). 매 dense retrieval 시 stemming X.
 
 ## 🔗 Graph
-- 부모: [[Information-Retrieval]]
+- 부모: [[Information Retrieval]]
 - 변형: [[Tokenization]] · [[BPE]] · [[SentencePiece]]
 - 응용: [[BM25]] · [[Elasticsearch]] · [[TF-IDF]]
 - Adjacent: [[Morphological-Analysis]]
diff --git a/10_Wiki/Topics/AI_and_ML/Structurizr.md b/10_Wiki/Topics/AI_and_ML/Structurizr.md
index 8584c977..734e1d4c 100644
--- a/10_Wiki/Topics/AI_and_ML/Structurizr.md
+++ b/10_Wiki/Topics/AI_and_ML/Structurizr.md
@@ -137,8 +137,8 @@ deploymentEnvironment "Production" {
 ## 🔗 Graph
 - 부모: [[Software-Architecture]]
 - 변형: [[Mermaid]] · [[PlantUML]] · [[D2]]
-- 응용: [[C4-Model]] · [[ADR]] · [[Onboarding]]
-- Adjacent: [[Diagrams-as-Code]] · [[Architecture-Decision-Record]]
+- 응용: [[C4 Model (Architecture Documentation)]] · [[ADR]] · [[Onboarding]]
+- Adjacent: [[Diagrams as Code]] · [[Architecture-Decision-Record]]
 
 ## 🤖 LLM 활용
 **언제**: 매 codebase walk-through 후 architecture diagram 생성 (Claude 가 DSL 작성), 매 refactor plan 의 before/after view, 매 ADR 의 visual context.
diff --git a/10_Wiki/Topics/AI_and_ML/StyleCounsel.md b/10_Wiki/Topics/AI_and_ML/StyleCounsel.md
index d7bc1c25..079df75f 100644
--- a/10_Wiki/Topics/AI_and_ML/StyleCounsel.md
+++ b/10_Wiki/Topics/AI_and_ML/StyleCounsel.md
@@ -194,7 +194,7 @@ async function brandedImage(prompt: string) {
 ## 🔗 Graph
 - 부모: [[Design-Systems]]
 - 변형: [[Design-Tokens]]
-- 응용: [[Storybook]] · [[Style-Dictionary]] · [[Figma-Variables]]
+- 응용: [[Storybook]] · [[Style Dictionary]] · [[Figma-Variables]]
 - Adjacent: [[ESLint-Static-Analysis]] · [[Prettier]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Styletron.md b/10_Wiki/Topics/AI_and_ML/Styletron.md
index 4c3771c5..7d15ef74 100644
--- a/10_Wiki/Topics/AI_and_ML/Styletron.md
+++ b/10_Wiki/Topics/AI_and_ML/Styletron.md
@@ -160,7 +160,7 @@ import { button } from "./styles.css";
 - 부모: [[CSS_Architecture_and_Styling|CSS-in-JS]]
 - 변형: [[vanilla-extract]] · [[Panda-CSS]]
 - 응용: [[BaseWeb]] · [[React]]
-- Adjacent: [[Tailwind-CSS]] · [[Atomic-CSS]]
+- Adjacent: [[Tailwind CSS]] · [[Atomic-CSS]]
 
 ## 🤖 LLM 활용
 **언제**: BaseWeb codebase 의 maintenance, 매 atomic CSS history 의 understand.
diff --git a/10_Wiki/Topics/AI_and_ML/Support Insulated.md b/10_Wiki/Topics/AI_and_ML/Support Insulated.md
index d7e19601..e4ee3260 100644
--- a/10_Wiki/Topics/AI_and_ML/Support Insulated.md	
+++ b/10_Wiki/Topics/AI_and_ML/Support Insulated.md	
@@ -158,7 +158,7 @@ def insulation_breach(support_unit, enemies):
 **기본값**: support unit 의 power × fragility × insulation requirement 의 triangle 의 balance 의 유지.
 
 ## 🔗 Graph
-- 부모: [[Combined Arms (제병협동) 전술|Combined-Arms]] · [[게임 밸런싱|Game-Balance]]
+- 부모: [[Combined Arms (제병협동) 전술|Combined-Arms]] · [[게임 밸런싱|Game-Balance]]
 - 변형: [[Synergy]]
 - 응용: [[Circuit-Breaker]]
 - Adjacent: [[Layered-Architecture]]
diff --git a/10_Wiki/Topics/AI_and_ML/Synergy.md b/10_Wiki/Topics/AI_and_ML/Synergy.md
index a8a93236..b3904faa 100644
--- a/10_Wiki/Topics/AI_and_ML/Synergy.md
+++ b/10_Wiki/Topics/AI_and_ML/Synergy.md
@@ -153,7 +153,7 @@ def synergy_score(parts_individual, combined):
 
 ## 🔗 Graph
 - 부모: [[System-Theory]] · [[Emergence]]
-- 변형: [[Combined Arms (제병협동) 전술|Combined-Arms]] · [[Ensemble-Learning]] · [[Multi-Agent-System]]
+- 변형: [[Combined Arms (제병협동) 전술|Combined-Arms]] · [[Ensemble-Learning]] · [[Multi-Agent-System]]
 - Adjacent: [[Network-Effect]] · [[Support Insulated]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Tactical-Evolution-of-the-War-Commander-Combat-Ecosystem.md b/10_Wiki/Topics/AI_and_ML/Tactical-Evolution-of-the-War-Commander-Combat-Ecosystem.md
index 52f787dc..879c9bd6 100644
--- a/10_Wiki/Topics/AI_and_ML/Tactical-Evolution-of-the-War-Commander-Combat-Ecosystem.md
+++ b/10_Wiki/Topics/AI_and_ML/Tactical-Evolution-of-the-War-Commander-Combat-Ecosystem.md
@@ -110,7 +110,7 @@ unlock_chain:
 **기본값**: 매 6-week meta cycle + 매 weekly event 매 retention 의 stable.
 
 ## 🔗 Graph
-- 부모: [[Game Design]] · [[Live Ops]]
+- 부모: [[Game Design]] · [[LiveOps]]
 - Adjacent: [[Power Creep (Content Treadmills)|Power Creep]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Tailwind CSS v4.md b/10_Wiki/Topics/AI_and_ML/Tailwind CSS v4.md
index bdca883b..9aee3e65 100644
--- a/10_Wiki/Topics/AI_and_ML/Tailwind CSS v4.md	
+++ b/10_Wiki/Topics/AI_and_ML/Tailwind CSS v4.md	
@@ -171,7 +171,7 @@ npx @tailwindcss/upgrade@latest
 **기본값**: 매 new project 의 v4 + Vite plugin + `@theme` CSS-first config.
 
 ## 🔗 Graph
-- 부모: [[Tailwind-CSS]]
+- 부모: [[Tailwind CSS]]
 - 변형: [[Container-Queries]]
 - 응용: [[Next.js]] · [[Design-System]] · [[Component-Library]]
 - Adjacent: [[Lightning-CSS]]
diff --git a/10_Wiki/Topics/AI_and_ML/TensorFlow-Foundations.md b/10_Wiki/Topics/AI_and_ML/TensorFlow-Foundations.md
index 49cf81bc..481f32a3 100644
--- a/10_Wiki/Topics/AI_and_ML/TensorFlow-Foundations.md
+++ b/10_Wiki/Topics/AI_and_ML/TensorFlow-Foundations.md
@@ -132,7 +132,7 @@ model = keras.Sequential([keras.layers.Dense(10)])
 **기본값**: 매 research 는 PyTorch, deployment 는 TF or ONNX export.
 
 ## 🔗 Graph
-- 부모: [[Deep-Learning]]
+- 부모: [[Deep Learning]]
 - 변형: [[PyTorch-Foundations]] · [[Keras]]
 - 응용: [[Recommender-Systems]]
 - Adjacent: [[Model-Serving]]
diff --git a/10_Wiki/Topics/AI_and_ML/Text-Mining.md b/10_Wiki/Topics/AI_and_ML/Text-Mining.md
index f225a3f7..80f38a4b 100644
--- a/10_Wiki/Topics/AI_and_ML/Text-Mining.md
+++ b/10_Wiki/Topics/AI_and_ML/Text-Mining.md
@@ -137,7 +137,7 @@ candidates = DATE_RE.findall(text)
 **기본값**: 매 prototype LLM, 매 production 은 LLM (low volume) or distilled fine-tuned model (high volume).
 
 ## 🔗 Graph
-- 부모: [[Information-Retrieval]]
+- 부모: [[Information Retrieval]]
 - 변형: [[Named-Entity-Recognition]] · [[Sentiment-Analysis]]
 - 응용: [[RAG]] · [[Search]]
 - Adjacent: [[Embeddings]]
diff --git a/10_Wiki/Topics/AI_and_ML/Threejs WebGPURenderer.md b/10_Wiki/Topics/AI_and_ML/Threejs WebGPURenderer.md
index 65db115f..db1d53ee 100644
--- a/10_Wiki/Topics/AI_and_ML/Threejs WebGPURenderer.md	
+++ b/10_Wiki/Topics/AI_and_ML/Threejs WebGPURenderer.md	
@@ -126,7 +126,7 @@ renderer.setAnimationLoop(async () => {
 
 ## 🔗 Graph
 - 부모: [[Threejs]] · [[WebGPU]]
-- 변형: [[Babylon-js]]
+- 변형: [[Babylonjs]]
 - Adjacent: [[WGSL]] · [[GLSL]] · [[react-three-fiber]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Time to Interactive (TTI).md b/10_Wiki/Topics/AI_and_ML/Time to Interactive (TTI).md
index e20f3b0b..764d567f 100644
--- a/10_Wiki/Topics/AI_and_ML/Time to Interactive (TTI).md	
+++ b/10_Wiki/Topics/AI_and_ML/Time to Interactive (TTI).md	
@@ -140,10 +140,10 @@ async function processItems(items) {
 **기본값**: INP + LCP for RUM, TBT for lab CI gates.
 
 ## 🔗 Graph
-- 부모: [[Web Performance]] · [[Core Web Vitals Optimization (INP, LCP 개선)|Core Web Vitals]]
+- 부모: [[Web Performance]] · [[Core Web Vitals Optimization (INP, LCP, CLS)|Core Web Vitals]]
 - 변형: [[INP]] · [[LCP]] · [[TBT]] · [[FID]]
 - 응용: [[Lighthouse]] · [[Code Splitting]]
-- Adjacent: [[Service Worker]] · [[React Server Components]]
+- Adjacent: [[Service Worker]] · [[React Server Components — 경계 의식]]
 
 ## 🤖 LLM 활용
 **언제**: lab performance regression, JS bundle audit, frontend optimization.
diff --git a/10_Wiki/Topics/AI_and_ML/Time-Series-Analysis.md b/10_Wiki/Topics/AI_and_ML/Time-Series-Analysis.md
index a154ef68..b3f7ab00 100644
--- a/10_Wiki/Topics/AI_and_ML/Time-Series-Analysis.md
+++ b/10_Wiki/Topics/AI_and_ML/Time-Series-Analysis.md
@@ -159,7 +159,7 @@ forecast = sf.forecast(h=12, level=[80, 95])
 - 부모: [[Machine Learning]] · [[Statistics]]
 - 변형: [[ARIMA]] · [[Prophet]]
 - 응용: [[Anomaly Detection]]
-- Adjacent: [[데이터_사이언스_및_ML_엔지니어링|LSTM]] · [[Transformer]] · [[Foundation Models]]
+- Adjacent: [[데이터 사이언스 및 ML 엔지니어링|LSTM]] · [[Transformer]] · [[Foundation Models]]
 
 ## 🤖 LLM 활용
 **언제**: temporal data forecasting, anomaly detection, capacity planning.
diff --git a/10_Wiki/Topics/AI_and_ML/Unit Stances.md b/10_Wiki/Topics/AI_and_ML/Unit Stances.md
index 500e71ba..d9e84449 100644
--- a/10_Wiki/Topics/AI_and_ML/Unit Stances.md	
+++ b/10_Wiki/Topics/AI_and_ML/Unit Stances.md	
@@ -182,7 +182,7 @@ def navigate(unit, target, stance):
 ## 🔗 Graph
 - 부모: [[Behavior Tree]]
 - 변형: [[Hold Position]]
-- 응용: [[Eugen Systems 모딩 매뉴얼|WARNO]]
+- 응용: [[Eugen Systems 모딩 매뉴얼|WARNO]]
 
 ## 🤖 LLM 활용
 **언제**: 매 strategic-level commander NPC 의 매 stance 결정 — 매 5-10초 cadence, 매 unit 별 X 매 group 별.
diff --git a/10_Wiki/Topics/AI_and_ML/Vary Region (인페인팅).md b/10_Wiki/Topics/AI_and_ML/Vary Region (인페인팅).md
index 67a3be58..7c254010 100644
--- a/10_Wiki/Topics/AI_and_ML/Vary Region (인페인팅).md	
+++ b/10_Wiki/Topics/AI_and_ML/Vary Region (인페인팅).md	
@@ -186,7 +186,7 @@ const response = await fetch('https://firefly-api.adobe.io/v3/images/generative-
 ## 🔗 Graph
 - 부모: [[Generative-AI]] · [[Diffusion-Models]]
 - 변형: [[Outpainting]]
-- Adjacent: [[image-prompt-작성-방법]] · [[Adobe-Firefly]]
+- Adjacent: [[Image Prompt 작성 방법]] · [[Adobe-Firefly]]
 
 ## 🤖 LLM 활용
 **언제**: mask region 의 prompt 의 generation / what-to-remove decision / multi-region edit planning.
diff --git a/10_Wiki/Topics/AI_and_ML/Virtual_DOM과_Reconciliation.md b/10_Wiki/Topics/AI_and_ML/Virtual_DOM과_Reconciliation.md
index 13803fed..56dd2c5e 100644
--- a/10_Wiki/Topics/AI_and_ML/Virtual_DOM과_Reconciliation.md
+++ b/10_Wiki/Topics/AI_and_ML/Virtual_DOM과_Reconciliation.md
@@ -178,7 +178,7 @@ import { Profiler } from "react";
 ## 🔗 Graph
 - 부모: [[DOM]] · [[Reconciliation]]
 - 변형: [[React Fiber]]
-- 응용: [[Next.js]] · [[Remix]] · [[React Native]] · [[React Server Components]]
+- 응용: [[Next.js]] · [[Remix]] · [[React Native]] · [[React Server Components — 경계 의식]]
 - Adjacent: [[SolidJS]] · [[Signals]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/Weak Central Coherence.md b/10_Wiki/Topics/AI_and_ML/Weak Central Coherence.md
index dfd6f238..8938d877 100644
--- a/10_Wiki/Topics/AI_and_ML/Weak Central Coherence.md	
+++ b/10_Wiki/Topics/AI_and_ML/Weak Central Coherence.md	
@@ -129,7 +129,7 @@ def make_visual_schedule(tasks: list[dict]) -> str:
 **기본값**: 매 EPF (Mottron) framing — 매 deficit 의 X, 매 different cognitive style.
 
 ## 🔗 Graph
-- 변형: [[Theory_of_Mind]]
+- 변형: [[Theory of Mind]]
 
 ## 🤖 LLM 활용
 **언제**: 매 psychoeducation content, 매 inclusive UX guideline 의 generation, 매 literature review.
diff --git a/10_Wiki/Topics/AI_and_ML/Workflow-Integrity.md b/10_Wiki/Topics/AI_and_ML/Workflow-Integrity.md
index fef2b757..d3d9b754 100644
--- a/10_Wiki/Topics/AI_and_ML/Workflow-Integrity.md
+++ b/10_Wiki/Topics/AI_and_ML/Workflow-Integrity.md
@@ -220,7 +220,7 @@ ON CONFLICT DO NOTHING RETURNING message_id;
 **기본값**: Inngest (small / event-driven) → Temporal (large / mission-critical) → Saga (cross-service).
 
 ## 🔗 Graph
-- 부모: [[Distributed_Systems]]
+- 부모: [[Distributed Systems]]
 - 변형: [[Saga]]
 - 응용: [[Agent_Loop]]
 - Adjacent: [[Idempotency]] · [[Durable_Execution]] · [[Event Sourcing Pattern|Event_Sourcing]] · [[CQRS]]
diff --git a/10_Wiki/Topics/AI_and_ML/_뇌와 팔다리의 분리_ - 관심사의 분리 (Separation of Concerns).md b/10_Wiki/Topics/AI_and_ML/_뇌와 팔다리의 분리_ - 관심사의 분리 (Separation of Concerns).md
index 52b7d680..1b1e6987 100644
--- a/10_Wiki/Topics/AI_and_ML/_뇌와 팔다리의 분리_ - 관심사의 분리 (Separation of Concerns).md	
+++ b/10_Wiki/Topics/AI_and_ML/_뇌와 팔다리의 분리_ - 관심사의 분리 (Separation of Concerns).md	
@@ -462,8 +462,8 @@ test('signup flow', async () => {
 
 ## 🔗 지식 연결 (Graph)
 - 부모: [[Software-Architecture]] · [[Design-Principles]] · [[Modularity]]
-- 변형: [[Single Responsibility Principle (SRP)|Single-Responsibility-Principle]] · [[Hexagonal-Architecture]] · [[Clean-Architecture]]
-- 응용: [[MVC]] · [[Modular-Monolith]] · [[Microservices]]
+- 변형: [[Single Responsibility Principle (SRP)|Single-Responsibility-Principle]] · [[Hexagonal Architecture]] · [[Clean-Architecture]]
+- 응용: [[MVC]] · [[Modular Monolith]] · [[Microservices]]
 - 비판: [[Over-Engineering]]
 - Adjacent: [[Decoupling]] · [[Encapsulation]] · [[Information-Hiding]]
 
@@ -497,7 +497,7 @@ test('signup flow', async () => {
 - **검토 이유:** Manual cleanup. Foundational concept 의 stable.
 
 ## 🧬 중복 검사 (Duplicate Check)
-- **기존 유사 문서:** [[Single Responsibility Principle (SRP)|Single-Responsibility-Principle]] (subset), [[Hexagonal-Clean]] (응용), [[Modular-Monolith]] (응용).
+- **기존 유사 문서:** [[Single Responsibility Principle (SRP)|Single-Responsibility-Principle]] (subset), [[Hexagonal-Clean]] (응용), [[Modular Monolith]] (응용).
 - **처리 방식:** KEEP (foundational principle).
 - **처리 이유:** 매 specific architecture 의 base.
 
diff --git a/10_Wiki/Topics/AI_and_ML/agargaro의 오픈 소스 라이브러리.md b/10_Wiki/Topics/AI_and_ML/agargaro의 오픈 소스 라이브러리.md
index 14681f63..a787591b 100644
--- a/10_Wiki/Topics/AI_and_ML/agargaro의 오픈 소스 라이브러리.md	
+++ b/10_Wiki/Topics/AI_and_ML/agargaro의 오픈 소스 라이브러리.md	
@@ -246,8 +246,8 @@ function Forest() {
 **기본값**: InstancedMesh2 (10k+ scene). 매 specific 의 BatchedMesh.
 
 ## 🔗 Graph
-- 부모: [[Three-js-Performance]] · [[WebGL-Optimization]]
-- 응용: [[Frustum-Culling]] · [[Level-of-Detail]]
+- 부모: [[Three-js-Performance]] · [[WebGL Optimization]]
+- 응용: [[Frustum Culling]] · [[Level-of-Detail]]
 - 게임: [[Crowd-Simulation]]
 - Adjacent: [[React-Three-Fiber]]
 
diff --git a/10_Wiki/Topics/AI_and_ML/image prompt 작성 방법.md b/10_Wiki/Topics/AI_and_ML/image prompt 작성 방법.md
index 6b9d5ddc..ff055b0e 100644
--- a/10_Wiki/Topics/AI_and_ML/image prompt 작성 방법.md	
+++ b/10_Wiki/Topics/AI_and_ML/image prompt 작성 방법.md	
@@ -152,7 +152,7 @@ cinematic wide shot
 
 ## 🔗 Graph
 - 부모: [[Generative-AI]] · [[Diffusion-Models]]
-- 변형: [[Vary-Region-인페인팅]] · [[ControlNet]] · [[LoRA-Fine-Tuning]]
+- 변형: [[Vary Region (인페인팅)]] · [[ControlNet]] · [[LoRA-Fine-Tuning]]
 - Adjacent: [[Prompt_Engineering|Prompt-Engineering]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/공급망 공격 (Supply Chain Attack).md b/10_Wiki/Topics/AI_and_ML/공급망 공격 (Supply Chain Attack).md
index e01901b2..1acdd860 100644
--- a/10_Wiki/Topics/AI_and_ML/공급망 공격 (Supply Chain Attack).md	
+++ b/10_Wiki/Topics/AI_and_ML/공급망 공격 (Supply Chain Attack).md	
@@ -127,7 +127,7 @@ def detect_anomaly(commits):
 **기본값**: SBOM(syft) + cosign keyless + lockfile hash-pin + OIDC short-lived credential.
 
 ## 🔗 Graph
-- 부모: [[CI_CD 파이프라인 및 IDE 통합 보안|DevSecOps]]
+- 부모: [[CI/CD Pipeline & IDE Security Integration|DevSecOps]]
 - 변형: [[Dependency Confusion]]
 - 응용: [[SBOM]] · [[Sigstore]] · [[SLSA]]
 - Adjacent: [[Zero Trust]]
diff --git a/10_Wiki/Topics/AI_and_ML/단일 코드베이스를 통한 멀티 디바이스(모바일-데스크톱) 웹 인터페이스 구축.md b/10_Wiki/Topics/AI_and_ML/단일 코드베이스를 통한 멀티 디바이스(모바일-데스크톱) 웹 인터페이스 구축.md
index 25c8b55c..c0d0b0fa 100644
--- a/10_Wiki/Topics/AI_and_ML/단일 코드베이스를 통한 멀티 디바이스(모바일-데스크톱) 웹 인터페이스 구축.md	
+++ b/10_Wiki/Topics/AI_and_ML/단일 코드베이스를 통한 멀티 디바이스(모바일-데스크톱) 웹 인터페이스 구축.md	
@@ -166,7 +166,7 @@ const isMobile = req.headers.get('Sec-CH-UA-Mobile') === '?1';
 - 부모: [[Large_Frontend_Projects|Frontend Architecture]] · [[Responsive Design]]
 - 변형: [[Adaptive UI]] · [[Progressive Enhancement]] · [[PWA]]
 - 응용: [[Large_Frontend_Projects]]
-- Adjacent: [[컨테이너 쿼리 (Container Queries)|Container Queries]] · [[Core Web Vitals Optimization (INP, LCP 개선)|Core Web Vitals]]
+- Adjacent: [[컨테이너 쿼리 (Container Queries)|Container Queries]] · [[Core Web Vitals Optimization (INP, LCP, CLS)|Core Web Vitals]]
 
 ## 🤖 LLM 활용
 **언제**: design spec → component variant 자동 생성, breakpoint heuristic 추천, accessibility audit.
diff --git a/10_Wiki/Topics/AI_and_ML/데이터_기반_밸런싱(Data-Driven_Balancing).md b/10_Wiki/Topics/AI_and_ML/데이터_기반_밸런싱(Data-Driven_Balancing).md
index dfeb1f0c..2b1d02fd 100644
--- a/10_Wiki/Topics/AI_and_ML/데이터_기반_밸런싱(Data-Driven_Balancing).md
+++ b/10_Wiki/Topics/AI_and_ML/데이터_기반_밸런싱(Data-Driven_Balancing).md
@@ -173,7 +173,7 @@ FROM flow ORDER BY day DESC LIMIT 30;
 **기본값**: 매 cohort-segmented winrate + 매 Bayesian CI + 매 designer review.
 
 ## 🔗 Graph
-- 부모: [[Game_Design]] · [[Live_Ops]]
+- 부모: [[Game_Design]] · [[LiveOps]]
 - 변형: [[Multi_Armed_Bandit]]
 - Adjacent: [[Telemetry]] · [[Bayesian_Inference]]
 
diff --git a/10_Wiki/Topics/AI_and_ML/렌더링 최적화 개념 설명 자료.md b/10_Wiki/Topics/AI_and_ML/렌더링 최적화 개념 설명 자료.md
index 42a59ed2..3a076f8e 100644
--- a/10_Wiki/Topics/AI_and_ML/렌더링 최적화 개념 설명 자료.md	
+++ b/10_Wiki/Topics/AI_and_ML/렌더링 최적화 개념 설명 자료.md	
@@ -134,8 +134,8 @@ window.addEventListener('resize', () => {
 ## 🔗 Graph
 - 부모: [[Frontend_Performance]] · [[Web_Vitals]]
 - 변형: [[Reflow_and_Repaint]] · [[Compositing]]
-- 응용: [[Lazy_Loading]]
-- Adjacent: [[Core Web Vitals Optimization (INP, LCP 개선)|Core_Web_Vitals]] · [[LCP]] · [[INP]] · [[CLS]]
+- 응용: [[Lazy Loading]]
+- Adjacent: [[Core Web Vitals Optimization (INP, LCP, CLS)|Core_Web_Vitals]] · [[LCP]] · [[INP]] · [[CLS]]
 
 ## 🤖 LLM 활용
 **언제**: 60fps 안 나오는 페이지 진단, scroll jank, animation stutter, slow LCP.
diff --git a/10_Wiki/Topics/AI_and_ML/렌더링 파이프라인(Rendering Pipeline).md b/10_Wiki/Topics/AI_and_ML/렌더링 파이프라인(Rendering Pipeline).md
index b35a09d3..91abfb84 100644
--- a/10_Wiki/Topics/AI_and_ML/렌더링 파이프라인(Rendering Pipeline).md	
+++ b/10_Wiki/Topics/AI_and_ML/렌더링 파이프라인(Rendering Pipeline).md	
@@ -183,7 +183,7 @@ graph.compile_and_execute(cmd);
 **기본값**: Vulkan 1.3+ render-graph + forward+ tile-based + DLSS/FSR upscale.
 
 ## 🔗 Graph
-- 부모: [[Computer_Graphics]] · [[GPU_Architecture]]
+- 부모: [[Computer_Graphics]] · [[GPU Architecture]]
 - 변형: [[Deferred_Rendering]]
 - 응용: [[WebGPU]]
 
diff --git a/10_Wiki/Topics/AI_and_ML/반응형 디자인.md b/10_Wiki/Topics/AI_and_ML/반응형 디자인.md
index d2ccd424..26d15b99 100644
--- a/10_Wiki/Topics/AI_and_ML/반응형 디자인.md	
+++ b/10_Wiki/Topics/AI_and_ML/반응형 디자인.md	
@@ -130,8 +130,8 @@ body { background: var(--bg); color: var(--fg); }
 ## 🔗 Graph
 - 부모: [[Frontend_Performance]]
 - 변형: [[Container_Queries]] · [[Mobile-First]]
-- 응용: [[Fluid_Typography]] · [[CSS_Grid]]
-- Adjacent: [[Tailwind_CSS]] · [[Dark_Mode]]
+- 응용: [[Fluid_Typography]] · [[CSS Grid]]
+- Adjacent: [[Tailwind CSS]] · [[Dark_Mode]]
 
 ## 🤖 LLM 활용
 **언제**: cross-device CSS / layout, mobile/tablet/desktop adaptation, fluid typography 설계.
diff --git a/10_Wiki/Topics/AI_and_ML/버전 및 모델 (Versions and Models).md b/10_Wiki/Topics/AI_and_ML/버전 및 모델 (Versions and Models).md
index 04e16163..d545be60 100644
--- a/10_Wiki/Topics/AI_and_ML/버전 및 모델 (Versions and Models).md	
+++ b/10_Wiki/Topics/AI_and_ML/버전 및 모델 (Versions and Models).md	
@@ -142,7 +142,7 @@ pipe.set_adapters(["brand", "cine"], adapter_weights=[0.8, 0.6])
 **기본값**: FLUX 1.2-dev — open weights, LoRA ecosystem, prompt adherence 최강. 매 production 에서 pin specific revision.
 
 ## 🔗 Graph
-- 부모: [[AI 이미지 생성 (AI Image Generation)]] · [[AI-Image-Generation-Workflow]]
+- 부모: [[AI 이미지 생성 (AI Image Generation)]] · [[AI Image Generation Workflow (canonical)]]
 - 변형: [[Midjourney-v7]]
 - 응용: [[Style_Reference_(--sref)]]
 
diff --git a/10_Wiki/Topics/AI_and_ML/복합 방어 전략(Combined Arms Defensive Grid).md b/10_Wiki/Topics/AI_and_ML/복합 방어 전략(Combined Arms Defensive Grid).md
index 7cb4ee27..1e763371 100644
--- a/10_Wiki/Topics/AI_and_ML/복합 방어 전략(Combined Arms Defensive Grid).md	
+++ b/10_Wiki/Topics/AI_and_ML/복합 방어 전략(Combined Arms Defensive Grid).md	
@@ -25,7 +25,7 @@ github_commit: pending
 
 ## 🔗 Graph
 - 부모: [[Mixed-Platoons]] (canonical)
-- Adjacent: [[Combined_Arms]] · [[기지 방어(Base Defense)]]
+- Adjacent: [[Combined Arms]] · [[기지 방어(Base Defense)]]
 
 ## 🕓 변경 이력
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/브라우저 렌더링 프로세스 (CRP).md b/10_Wiki/Topics/AI_and_ML/브라우저 렌더링 프로세스 (CRP).md
index f69793bd..6b5e6d5c 100644
--- a/10_Wiki/Topics/AI_and_ML/브라우저 렌더링 프로세스 (CRP).md	
+++ b/10_Wiki/Topics/AI_and_ML/브라우저 렌더링 프로세스 (CRP).md	
@@ -147,7 +147,7 @@ new PerformanceObserver((list) => {
 **기본값**: defer non-critical JS, inline critical CSS, composite-only animation.
 
 ## 🔗 Graph
-- 부모: [[Web Performance]] · [[Core Web Vitals Optimization (INP, LCP 개선)|Core Web Vitals]]
+- 부모: [[Web Performance]] · [[Core Web Vitals Optimization (INP, LCP, CLS)|Core Web Vitals]]
 - 변형: [[Server Side Rendering (SSR)|Server-Side Rendering (SSR)]] · [[Streaming SSR]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/브라우저 메모리 누수 탐지(Browser Memory Leak Detection).md b/10_Wiki/Topics/AI_and_ML/브라우저 메모리 누수 탐지(Browser Memory Leak Detection).md
index ab68bcf7..deb6aa60 100644
--- a/10_Wiki/Topics/AI_and_ML/브라우저 메모리 누수 탐지(Browser Memory Leak Detection).md	
+++ b/10_Wiki/Topics/AI_and_ML/브라우저 메모리 누수 탐지(Browser Memory Leak Detection).md	
@@ -158,8 +158,8 @@ useEffect(() => {
 **기본값**: 매 3-snapshot heap diff (A=load, B=after-100-actions, C=after-200-actions). B→C 0 growth 가 합격선.
 
 ## 🔗 Graph
-- 부모: [[Memory_Management]]
-- 변형: [[Heap_Snapshot]] · [[Detached_DOM]]
+- 부모: [[Memory Management]]
+- 변형: [[Heap Snapshot]] · [[Detached_DOM]]
 - Adjacent: [[WeakRef]] · [[AbortController]] · [[렌더링 최적화 개념 설명 자료]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/브라우저 메인 스레드 최적화 및 타임 슬라이싱.md b/10_Wiki/Topics/AI_and_ML/브라우저 메인 스레드 최적화 및 타임 슬라이싱.md
index b079cbe2..f99e97ca 100644
--- a/10_Wiki/Topics/AI_and_ML/브라우저 메인 스레드 최적화 및 타임 슬라이싱.md	
+++ b/10_Wiki/Topics/AI_and_ML/브라우저 메인 스레드 최적화 및 타임 슬라이싱.md	
@@ -162,8 +162,8 @@ new PerformanceObserver((list) => {
 **기본값**: 매 task > 5ms 면 yield consider. 매 task > 50ms 면 split mandatory. 매 pure compute 는 Worker 의 first choice.
 
 ## 🔗 Graph
-- 부모: [[Web-Performance]] · [[Core Web Vitals Optimization (INP, LCP 개선)|Core-Web-Vitals]] · [[INP-Optimization]]
-- 변형: [[Scheduler-API]] · [[Web Worker (웹 워커)|Web-Workers]] · [[OffscreenCanvas]]
+- 부모: [[Web-Performance]] · [[Core Web Vitals Optimization (INP, LCP, CLS)|Core-Web-Vitals]] · [[INP-Optimization]]
+- 변형: [[Scheduler API]] · [[Web Worker (웹 워커)|Web-Workers]] · [[OffscreenCanvas]]
 - 응용: [[성능 중심의 웹 애니메이션 및 인터랙션 구현]]
 - Adjacent: [[Long Tasks]] · [[Long-Animation-Frames]] · [[Comlink]]
 
diff --git a/10_Wiki/Topics/AI_and_ML/상성 및 데미지 유형(Unit Counters & Damage Profiles).md b/10_Wiki/Topics/AI_and_ML/상성 및 데미지 유형(Unit Counters & Damage Profiles).md
index cdc5cadf..12b4e2e2 100644
--- a/10_Wiki/Topics/AI_and_ML/상성 및 데미지 유형(Unit Counters & Damage Profiles).md	
+++ b/10_Wiki/Topics/AI_and_ML/상성 및 데미지 유형(Unit Counters & Damage Profiles).md	
@@ -136,7 +136,7 @@ def simulate(army_a, army_b, dt=0.1):
 
 ## 🔗 Graph
 - 변형: [[유닛 상성(Unit Counters)]]
-- 응용: [[Splash_Damage]]
+- 응용: [[Splash Damage]]
 
 ## 🤖 LLM 활용
 **언제**: damage matrix 의 first draft, balance hypothesis ("if zergling +1 damage, what changes"), counter chart 의 markdown 화.
diff --git a/10_Wiki/Topics/AI_and_ML/성능 중심의 웹 애니메이션 및 인터랙션 구현.md b/10_Wiki/Topics/AI_and_ML/성능 중심의 웹 애니메이션 및 인터랙션 구현.md
index 47255ab0..60226a66 100644
--- a/10_Wiki/Topics/AI_and_ML/성능 중심의 웹 애니메이션 및 인터랙션 구현.md	
+++ b/10_Wiki/Topics/AI_and_ML/성능 중심의 웹 애니메이션 및 인터랙션 구현.md	
@@ -162,7 +162,7 @@ el.addEventListener('pointermove', (e) => {
 **기본값**: 매 transform + opacity only. 매 width/height/top/left animate 의 X (rare exception 만). 매 will-change 는 short-lived hint (animate 시작 직전 add, 끝나면 remove).
 
 ## 🔗 Graph
-- 부모: [[Web-Performance]] · [[Frontend-Performance]] · [[Core Web Vitals Optimization (INP, LCP 개선)|Core-Web-Vitals]]
+- 부모: [[Web-Performance]] · [[Frontend-Performance]] · [[Core Web Vitals Optimization (INP, LCP, CLS)|Core-Web-Vitals]]
 - 변형: [[Web-Animations-API]] · [[View-Transitions-API]]
 - 응용: [[OffscreenCanvas]]
 - Adjacent: [[브라우저 메인 스레드 최적화 및 타임 슬라이싱]] · [[INP-Optimization]]
diff --git a/10_Wiki/Topics/AI_and_ML/손실 회피.md b/10_Wiki/Topics/AI_and_ML/손실 회피.md
index 47c69b8e..936c44d6 100644
--- a/10_Wiki/Topics/AI_and_ML/손실 회피.md	
+++ b/10_Wiki/Topics/AI_and_ML/손실 회피.md	
@@ -129,8 +129,8 @@ def prospect_value(outcome: float, ref: float = 0, lam: float = 2.25,
 **기본값**: 매 user 의 actual accrued value 가 있을 때 만 loss frame. 매 fabricated scarcity 는 매 dark pattern.
 
 ## 🔗 Graph
-- 부모: [[Behavioral-Economics]] · [[Prospect-Theory]] · [[Cognitive-Biases]]
-- 변형: [[Endowment-Effect]] · [[Sunk-Cost-Fallacy]]
+- 부모: [[Behavioral-Economics]] · [[Prospect-Theory]] · [[Cognitive Biases]]
+- 변형: [[Endowment-Effect]] · [[Sunk Cost Fallacy]]
 
 ## 🤖 LLM 활용
 **언제**: copy A/B variant generation, retention email subject lines, game design lever brainstorm.
diff --git a/10_Wiki/Topics/AI_and_ML/스타일 및 캐릭터 참조 (Style and Character References).md b/10_Wiki/Topics/AI_and_ML/스타일 및 캐릭터 참조 (Style and Character References).md
index 73179f7d..8bf841bc 100644
--- a/10_Wiki/Topics/AI_and_ML/스타일 및 캐릭터 참조 (Style and Character References).md	
+++ b/10_Wiki/Topics/AI_and_ML/스타일 및 캐릭터 참조 (Style and Character References).md	
@@ -21,12 +21,12 @@ github_commit: pending
 ## 핵심 요약 (specialization aspects)
 - 매 본 문서는 Midjourney `--sref` (style) + `--cref` (character) 의 combined view 였음.
 - Canonical 의 [[Style_Reference_(--sref)]] 가 매 style 측면 의 main reference.
-- Character reference 의 specific 한 detail 은 매 [[Character_Reference_(--cref)]] / [[Omni-Reference]] 에 분리.
+- Character reference 의 specific 한 detail 은 매 [[Character_Reference_(--cref)]] / [[Omni Reference]] 에 분리.
 - 매 2026 의 FLUX IP-Adapter, OmniGen2 등 의 cross-model character lock 은 매 별도 문서 필요.
 
 ## 🔗 Graph
 - 부모: [[Style_Reference_(--sref)]] (canonical)
-- Adjacent: [[Omni-Reference]] · [[버전 및 모델 (Versions and Models)]]
+- Adjacent: [[Omni Reference]] · [[버전 및 모델 (Versions and Models)]]
 
 ## 🕓 변경 이력
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/안구 운동 증상(Oculomotor Symptoms).md b/10_Wiki/Topics/AI_and_ML/안구 운동 증상(Oculomotor Symptoms).md
index 4fde0664..d5a46091 100644
--- a/10_Wiki/Topics/AI_and_ML/안구 운동 증상(Oculomotor Symptoms).md	
+++ b/10_Wiki/Topics/AI_and_ML/안구 운동 증상(Oculomotor Symptoms).md	
@@ -129,7 +129,7 @@ text.fontSize = Mathf.RoundToInt(20 * (distance / 1.3f));
 
 ## 🔗 Graph
 - 변형: [[Vergence-Accommodation-Conflict]]
-- Adjacent: [[SSQ-Questionnaire]]
+- Adjacent: [[SSQ Questionnaire]]
 
 ## 🤖 LLM 활용
 **언제**: VR/XR 앱의 comfort rating 평가, SSQ score 산출, UI placement 자동 audit.
diff --git a/10_Wiki/Topics/AI_and_ML/애니메이션_(transition_-_keyframes).md b/10_Wiki/Topics/AI_and_ML/애니메이션_(transition_-_keyframes).md
index a88de31f..d1d66c79 100644
--- a/10_Wiki/Topics/AI_and_ML/애니메이션_(transition_-_keyframes).md
+++ b/10_Wiki/Topics/AI_and_ML/애니메이션_(transition_-_keyframes).md
@@ -135,7 +135,7 @@ document.startViewTransition(() => updateDOM());
 ## 🔗 Graph
 - 부모: [[Web-Frontend]]
 - 변형: [[Web-Animations-API]]
-- 응용: [[Microinteractions]]
+- 응용: [[Micro-interactions]]
 - Adjacent: [[prefers-reduced-motion]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/오픈소스 이미지 모델 미세 조정 및 배포.md b/10_Wiki/Topics/AI_and_ML/오픈소스 이미지 모델 미세 조정 및 배포.md
index 04155f27..9acdc430 100644
--- a/10_Wiki/Topics/AI_and_ML/오픈소스 이미지 모델 미세 조정 및 배포.md	
+++ b/10_Wiki/Topics/AI_and_ML/오픈소스 이미지 모델 미세 조정 및 배포.md	
@@ -196,7 +196,7 @@ for f in dataset_folder.glob("*.png"):
 **기본값**: FLUX.1-dev + LoRA rank 32 + ComfyUI for prototyping, Modal for prod.
 
 ## 🔗 Graph
-- 부모: [[AI 이미지 생성 (AI Image Generation)]]
+- 부모: [[AI Image Generation]]
 - 변형: [[LoRA Fine-tuning]]
 - 응용: [[인공지능 시각 언어 생성 (AI Visual Language Generation)]] · [[일관된 캐릭터 및 스타일 구축]]
 - Adjacent: [[LLM_Optimization_and_Deployment_Strategies|Quantization]] · [[ComfyUI]]
diff --git a/10_Wiki/Topics/AI_and_ML/오픈소스 컴포넌트 (Open Source Components).md b/10_Wiki/Topics/AI_and_ML/오픈소스 컴포넌트 (Open Source Components).md
index 8f0de7ed..f88c9dfb 100644
--- a/10_Wiki/Topics/AI_and_ML/오픈소스 컴포넌트 (Open Source Components).md	
+++ b/10_Wiki/Topics/AI_and_ML/오픈소스 컴포넌트 (Open Source Components).md	
@@ -142,7 +142,7 @@ npx license-checker --production --summary
 **기본값**: shadcn/ui + Radix + zod + Renovate + CycloneDX SBOM.
 
 ## 🔗 Graph
-- 부모: [[Frontend_Architecture]]
+- 부모: [[Frontend Architecture]]
 - 변형: [[Headless_UI]] · [[Component_Library]]
 - 응용: [[Design_System]]
 - Adjacent: [[SBOM]] · [[SLSA]] · [[Dependabot]]
diff --git a/10_Wiki/Topics/AI_and_ML/월드 오브 워크래프트(World of Warcraft).md b/10_Wiki/Topics/AI_and_ML/월드 오브 워크래프트(World of Warcraft).md
index dac7ffba..752f8467 100644
--- a/10_Wiki/Topics/AI_and_ML/월드 오브 워크래프트(World of Warcraft).md	
+++ b/10_Wiki/Topics/AI_and_ML/월드 오브 워크래프트(World of Warcraft).md	
@@ -133,7 +133,7 @@ def assign_phase(player, zone_id):
 **기본값**: 2년 expansion cycle · 4 raid tier per expansion · seasonal reset (M+ affix rotation).
 
 ## 🔗 Graph
-- 부모: [[Live-Ops]]
+- 부모: [[LiveOps]]
 
 ## 🤖 LLM 활용
 **언제**: MMO endgame design 분석, raid encounter mechanic 설명, 클래스 spec rotation 코드 (luas).
diff --git a/10_Wiki/Topics/AI_and_ML/웹 접근성 및 성능 최적화.md b/10_Wiki/Topics/AI_and_ML/웹 접근성 및 성능 최적화.md
index dd084e3a..7a83bebd 100644
--- a/10_Wiki/Topics/AI_and_ML/웹 접근성 및 성능 최적화.md	
+++ b/10_Wiki/Topics/AI_and_ML/웹 접근성 및 성능 최적화.md	
@@ -206,9 +206,9 @@ test('homepage 의 a11y', async ({ page }) => {
 **기본값**: Semantic HTML + axe-core CI + Lighthouse 의 LCP/INP/CLS budget + manual screen reader test (NVDA/VoiceOver) per release.
 
 ## 🔗 Graph
-- 부모: [[Frontend_Architecture]] · [[Web_Standards]]
+- 부모: [[Frontend Architecture]] · [[Web_Standards]]
 - 변형: [[WCAG_2_2]] · [[ARIA]]
-- 응용: [[Core Web Vitals Optimization (INP, LCP 개선)|Core-Web-Vitals]] · [[Lighthouse]]
+- 응용: [[Core Web Vitals Optimization (INP, LCP, CLS)|Core-Web-Vitals]] · [[Lighthouse]]
 
 ## 🤖 LLM 활용
 **언제**: ARIA pattern lookup, semantic HTML refactor, WCAG criteria explanation, axe rule remediation.
diff --git a/10_Wiki/Topics/AI_and_ML/유틸리티 퍼스트(Utility-first).md b/10_Wiki/Topics/AI_and_ML/유틸리티 퍼스트(Utility-first).md
index abf23ddd..6d7ac5da 100644
--- a/10_Wiki/Topics/AI_and_ML/유틸리티 퍼스트(Utility-first).md	
+++ b/10_Wiki/Topics/AI_and_ML/유틸리티 퍼스트(Utility-first).md	
@@ -173,9 +173,9 @@ export default defineConfig({
 **기본값**: Tailwind v4 + cva + `cn` helper + shadcn/ui 의 component layer.
 
 ## 🔗 Graph
-- 변형: [[Tailwind_CSS]] · [[Atomic_CSS]]
-- 응용: [[shadcn_ui]] · [[Design_System]] · [[Component_Library]]
-- Adjacent: [[CSS_in_JS]] · [[CSS_Modules]] · [[CVA]]
+- 변형: [[Tailwind CSS]] · [[Atomic_CSS]]
+- 응용: [[shadcn/ui]] · [[Design_System]] · [[Component_Library]]
+- Adjacent: [[CSS in JS]] · [[CSS Modules]] · [[CVA]]
 
 ## 🤖 LLM 활용
 **언제**: utility class lookup, component refactor, responsive variant 추가, dark mode setup.
diff --git a/10_Wiki/Topics/AI_and_ML/이미지 생성 최적화 (Image Generation Optimization).md b/10_Wiki/Topics/AI_and_ML/이미지 생성 최적화 (Image Generation Optimization).md
index 439a4944..fe640750 100644
--- a/10_Wiki/Topics/AI_and_ML/이미지 생성 최적화 (Image Generation Optimization).md	
+++ b/10_Wiki/Topics/AI_and_ML/이미지 생성 최적화 (Image Generation Optimization).md	
@@ -180,7 +180,7 @@ img = sd.generate("a cat", n_steps=4, n_images=4)
 **기본값**: 4-step LCM/Lightning + torch.compile + FP16, escalate to TRT for >10 RPS.
 
 ## 🔗 Graph
-- 부모: [[AI 이미지 생성 (AI Image Generation)]]
+- 부모: [[AI Image Generation]]
 - Adjacent: [[TensorRT]] · [[torch.compile]] · [[오픈소스 이미지 모델 미세 조정 및 배포]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/인공지능 시각 언어 생성 (AI Visual Language Generation).md b/10_Wiki/Topics/AI_and_ML/인공지능 시각 언어 생성 (AI Visual Language Generation).md
index 9279070b..b724f794 100644
--- a/10_Wiki/Topics/AI_and_ML/인공지능 시각 언어 생성 (AI Visual Language Generation).md	
+++ b/10_Wiki/Topics/AI_and_ML/인공지능 시각 언어 생성 (AI Visual Language Generation).md	
@@ -149,7 +149,7 @@ def quantize_to_palette(img, palette_oklch):
 **기본값**: FLUX.1-dev + style LoRA + palette post-process.
 
 ## 🔗 Graph
-- 부모: [[AI 이미지 생성 (AI Image Generation)]]
+- 부모: [[AI Image Generation]]
 - 변형: [[Style Transfer]] · [[LoRA Fine-tuning]]
 - Adjacent: [[ControlNet]] · [[IP-Adapter]] · [[일관된 캐릭터 및 스타일 구축]]
 
diff --git a/10_Wiki/Topics/AI_and_ML/일관된 캐릭터 및 스타일 구축.md b/10_Wiki/Topics/AI_and_ML/일관된 캐릭터 및 스타일 구축.md
index c79d7e3c..24e5ee1c 100644
--- a/10_Wiki/Topics/AI_and_ML/일관된 캐릭터 및 스타일 구축.md	
+++ b/10_Wiki/Topics/AI_and_ML/일관된 캐릭터 및 스타일 구축.md	
@@ -196,7 +196,7 @@ styled = i2i_pipe(
 **기본값**: subject LoRA + style LoRA + IP-Adapter face + face-sim CI.
 
 ## 🔗 Graph
-- 부모: [[AI 이미지 생성 (AI Image Generation)]]
+- 부모: [[AI Image Generation]]
 - 변형: [[LoRA Fine-tuning]] · [[InstantID]]
 - 응용: [[인공지능 시각 언어 생성 (AI Visual Language Generation)]] · [[오픈소스 이미지 모델 미세 조정 및 배포]]
 - Adjacent: [[IP-Adapter]] · [[ControlNet]]
diff --git a/10_Wiki/Topics/AI_and_ML/전투 전술(Battle Strategies).md b/10_Wiki/Topics/AI_and_ML/전투 전술(Battle Strategies).md
index 9c183ea3..b7a7305b 100644
--- a/10_Wiki/Topics/AI_and_ML/전투 전술(Battle Strategies).md	
+++ b/10_Wiki/Topics/AI_and_ML/전투 전술(Battle Strategies).md	
@@ -157,7 +157,7 @@ function moraleBonus(unit: Unit, allies: Unit[]): number {
 ## 🔗 Graph
 - 부모: [[제병협동 (Combined Arms)]] · [[Game_Design]]
 - 변형: [[유닛 상성(Unit Counters)]] · [[제로잉 (Getting Zero-ed)]]
-- 응용: [[Eugen Systems 모딩 매뉴얼|WARNO]] · [[Eugen Systems 모딩 매뉴얼|Eugen_Systems]] · [[4X_전략]]
+- 응용: [[Eugen Systems 모딩 매뉴얼|WARNO]] · [[Eugen Systems 모딩 매뉴얼|Eugen_Systems]] · [[4X_전략]]
 - Adjacent: [[AI 추적 논리(AI Pursuit Logic)]] · [[Combat_Timeline_Difficulty_Scaling]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/제로잉 (Getting Zero-ed).md b/10_Wiki/Topics/AI_and_ML/제로잉 (Getting Zero-ed).md
index 21af17c6..c172afb9 100644
--- a/10_Wiki/Topics/AI_and_ML/제로잉 (Getting Zero-ed).md	
+++ b/10_Wiki/Topics/AI_and_ML/제로잉 (Getting Zero-ed).md	
@@ -149,7 +149,7 @@ function logSpiralEvent(p: PlayerState, prevTick: PlayerState, tick: number) {
 ## 🔗 Graph
 - 부모: [[전투 전술(Battle Strategies)]] · [[Game_Design]]
 - 변형: [[Permanent_Loss]] · [[Power Creep (Content Treadmills)|Power_Creep]]
-- 응용: [[Eugen Systems 모딩 매뉴얼|WARNO]] · [[Eugen Systems 모딩 매뉴얼|Eugen_Systems]] · [[알비온_온라인(Albion_Online)]]
+- 응용: [[Eugen Systems 모딩 매뉴얼|WARNO]] · [[Eugen Systems 모딩 매뉴얼|Eugen_Systems]] · [[알비온_온라인(Albion_Online)]]
 - Adjacent: [[Telemetry_Balancing]] · [[Combat_Timeline_Difficulty_Scaling]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/제병협동 (Combined Arms).md b/10_Wiki/Topics/AI_and_ML/제병협동 (Combined Arms).md
index e3af069a..4ccea143 100644
--- a/10_Wiki/Topics/AI_and_ML/제병협동 (Combined Arms).md	
+++ b/10_Wiki/Topics/AI_and_ML/제병협동 (Combined Arms).md	
@@ -142,7 +142,7 @@ async function deepStrike(ew: Unit, arty: Unit, hvt: HighValueTarget) {
 ## 🔗 Graph
 - 부모: [[전투 전술(Battle Strategies)]]
 - 변형: [[유닛 상성(Unit Counters)]]
-- 응용: [[Eugen Systems 모딩 매뉴얼|WARNO]] · [[Eugen Systems 모딩 매뉴얼|Eugen_Systems]] · [[Iriszoom_엔진]]
+- 응용: [[Eugen Systems 모딩 매뉴얼|WARNO]] · [[Eugen Systems 모딩 매뉴얼|Eugen_Systems]] · [[Iriszoom_엔진]]
 - Adjacent: [[AI 추적 논리(AI Pursuit Logic)]] · [[Stat-Injection-and-Visual-Renderer-Pipeline]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/초기 로드 시간 (Initial Load Time).md b/10_Wiki/Topics/AI_and_ML/초기 로드 시간 (Initial Load Time).md
index dc677e93..194212b8 100644
--- a/10_Wiki/Topics/AI_and_ML/초기 로드 시간 (Initial Load Time).md	
+++ b/10_Wiki/Topics/AI_and_ML/초기 로드 시간 (Initial Load Time).md	
@@ -174,7 +174,7 @@ self.addEventListener('fetch', (event) => {
 **기본값**: Next.js 15 RSC + edge runtime + Image component + dynamic import 의 heavy module.
 
 ## 🔗 Graph
-- 부모: [[Performance Optimization]] · [[Core Web Vitals Optimization (INP, LCP 개선)|Core Web Vitals]]
+- 부모: [[Performance Optimization]] · [[Core Web Vitals Optimization (INP, LCP, CLS)|Core Web Vitals]]
 
 ## 🤖 LLM 활용
 **언제**: 매 performance audit 의 explanation, 매 bundle analysis result 의 interpretation, 매 optimization strategy 의 brainstorm.
diff --git a/10_Wiki/Topics/AI_and_ML/카산드라(Cassandra).md b/10_Wiki/Topics/AI_and_ML/카산드라(Cassandra).md
index d0a27a86..4b6ff4df 100644
--- a/10_Wiki/Topics/AI_and_ML/카산드라(Cassandra).md
+++ b/10_Wiki/Topics/AI_and_ML/카산드라(Cassandra).md
@@ -156,7 +156,7 @@ INSERT INTO users (email, id) VALUES ('a@b.com', uuid())
 
 ## 🔗 Graph
 - 부모: [[NoSQL]]
-- Adjacent: [[CAP Theorem]]
+- Adjacent: [[CAP Theorem & PACELC]]
 
 ## 🤖 LLM 활용
 **언제**: 매 large-scale write workload 의 매 design, 매 multi-DC active-active 요건, 매 time-series storage, 매 schema review.
diff --git a/10_Wiki/Topics/AI_and_ML/텍스트 렌더링(Text Rendering).md b/10_Wiki/Topics/AI_and_ML/텍스트 렌더링(Text Rendering).md
index ca865425..b3d35080 100644
--- a/10_Wiki/Topics/AI_and_ML/텍스트 렌더링(Text Rendering).md	
+++ b/10_Wiki/Topics/AI_and_ML/텍스트 렌더링(Text Rendering).md	
@@ -173,7 +173,7 @@ paragraph->paint(canvas, 0, 0);
 
 ## 🔗 Graph
 - 부모: [[Typography]] · [[Rendering Pipeline]]
-- 응용: [[Web Performance]] · [[AI 이미지 생성 (AI Image Generation)]]
+- 응용: [[Web Performance]] · [[AI Image Generation]]
 - Adjacent: [[Skia]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/프롬프트 가중치 및 부정 프롬프트 (Prompt Weights and Negative Prompts).md b/10_Wiki/Topics/AI_and_ML/프롬프트 가중치 및 부정 프롬프트 (Prompt Weights and Negative Prompts).md
index 27abd3e4..31411c43 100644
--- a/10_Wiki/Topics/AI_and_ML/프롬프트 가중치 및 부정 프롬프트 (Prompt Weights and Negative Prompts).md	
+++ b/10_Wiki/Topics/AI_and_ML/프롬프트 가중치 및 부정 프롬프트 (Prompt Weights and Negative Prompts).md	
@@ -25,7 +25,7 @@ github_commit: pending
 
 ## 🔗 Graph
 - 부모: [[Prompt Weight]] (canonical)
-- Adjacent: [[Negative-Prompt]] · [[CFG-Scale]] · [[Stable Diffusion]]
+- Adjacent: [[Negative Prompt]] · [[CFG Scale]] · [[Stable Diffusion]]
 
 ## 🕓 변경 이력
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/AI_and_ML/플랫폼 저항성(Platform Resistances).md b/10_Wiki/Topics/AI_and_ML/플랫폼 저항성(Platform Resistances).md
index 15067c5f..daea0951 100644
--- a/10_Wiki/Topics/AI_and_ML/플랫폼 저항성(Platform Resistances).md	
+++ b/10_Wiki/Topics/AI_and_ML/플랫폼 저항성(Platform Resistances).md	
@@ -180,7 +180,7 @@ public class ResistanceMatrixEditor : Editor
 
 ## 🔗 Graph
 - 부모: [[Combat-System]]
-- 응용: [[Combined Arms (제병협동) 전술|Combined-Arms]] · [[Mixed-Platoons]]
+- 응용: [[Combined Arms (제병협동) 전술|Combined-Arms]] · [[Mixed-Platoons]]
 - Adjacent: [[Rock-Paper-Scissors]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/AI_and_ML/하이브리드 코드 리뷰.md b/10_Wiki/Topics/AI_and_ML/하이브리드 코드 리뷰.md
index 802ec41c..294dae34 100644
--- a/10_Wiki/Topics/AI_and_ML/하이브리드 코드 리뷰.md	
+++ b/10_Wiki/Topics/AI_and_ML/하이브리드 코드 리뷰.md	
@@ -188,7 +188,7 @@ interface ReviewMetric {
 **기본값**: Claude Code Action 의 PR + human reviewer 의 of design.
 
 ## 🔗 Graph
-- 부모: [[Code-Review]] · [[CI-CD]]
+- 부모: [[Code-Review]] · [[CI CD]]
 - 변형: [[Static-Analysis]]
 - Adjacent: [[Claude-Code]] · [[GitHub-Actions]] · [[Prompt-Cache]]
 
diff --git a/10_Wiki/Topics/AI_and_ML/확장 가능한 스타일 시스템.md b/10_Wiki/Topics/AI_and_ML/확장 가능한 스타일 시스템.md
index 2bd745cf..7fd4b9e5 100644
--- a/10_Wiki/Topics/AI_and_ML/확장 가능한 스타일 시스템.md	
+++ b/10_Wiki/Topics/AI_and_ML/확장 가능한 스타일 시스템.md	
@@ -208,8 +208,8 @@ function loadTenantTheme(tenantId: string) {
 **기본값**: DTCG JSON + Style Dictionary + Tailwind v4 + CSS Cascade Layers.
 
 ## 🔗 Graph
-- 부모: [[Design-System]] · [[CSS-Architecture]]
-- 변형: [[Tailwind-CSS]] · [[CSS_Architecture_and_Styling|CSS-in-JS]]
+- 부모: [[Design-System]] · [[CSS Architecture]]
+- 변형: [[Tailwind CSS]] · [[CSS_Architecture_and_Styling|CSS-in-JS]]
 - 응용: [[Theming]] · [[Dark-Mode]]
 - Adjacent: [[Design-Tokens]] · [[Accessibility (A11y)|Accessibility]]
 
diff --git a/10_Wiki/Topics/AI_이미지_생성_워크플로우.md b/10_Wiki/Topics/AI_이미지_생성_워크플로우.md
index 23453470..db90155c 100644
--- a/10_Wiki/Topics/AI_이미지_생성_워크플로우.md
+++ b/10_Wiki/Topics/AI_이미지_생성_워크플로우.md
@@ -76,7 +76,7 @@ github_commit: pending
 ---
 
 ## 🧬 중복 검사 (Duplicate Check)
-- **기존 유사 문서:** [[AI Image Generation Workflow]], [[DALL-E 3]], [[DALL-E 3 대화형 프롬프트 생성]], [[AI 이미지 생성 도구 및 매개변수]], [[AI 이미지 생성 파이프라인]] 등
+- **기존 유사 문서:** [[AI Image Generation Workflow (canonical)]], [[DALL-E 3]], [[DALL-E 3 대화형 프롬프트 생성]], [[AI 이미지 생성 도구 및 매개변수]], [[AI 이미지 생성 파이프라인]] 등
 - **처리 방식:** UPDATE
 - **처리 이유:** 이미지 생성 프로세스와 관련된 중복 문서들을 통합하여 DALL-E 3까지 아우르는 하나의 완성된 파이프라인 가이드로 강화함.
 
diff --git a/10_Wiki/Topics/Architecture/ACID Transactions.md b/10_Wiki/Topics/Architecture/ACID Transactions.md
index 9a6bc2be..55caf354 100644
--- a/10_Wiki/Topics/Architecture/ACID Transactions.md	
+++ b/10_Wiki/Topics/Architecture/ACID Transactions.md	
@@ -120,7 +120,7 @@ for _ in range(5):
 ## 🔗 Graph
 - 변형: [[BASE]] · [[Snapshot Isolation]]
 - 응용: [[Idempotency]]
-- Adjacent: [[CAP Theorem]]
+- Adjacent: [[CAP Theorem & PACELC]]
 
 ## 🤖 LLM 활용
 **언제**: 매 codegen 의 SQL transaction boundary 검증, 매 isolation level mismatch 점검.
diff --git a/10_Wiki/Topics/Architecture/ADR_(Architecture_Decision_Records).md b/10_Wiki/Topics/Architecture/ADR_(Architecture_Decision_Records).md
index 8b7c87aa..d641828e 100644
--- a/10_Wiki/Topics/Architecture/ADR_(Architecture_Decision_Records).md
+++ b/10_Wiki/Topics/Architecture/ADR_(Architecture_Decision_Records).md
@@ -158,7 +158,7 @@ import { Pool } from 'pg';
 
 ## 🔗 Graph
 - 부모: [[Architecture Documentation]]
-- 응용: [[ATAM]] · [[RFC Process]] · [[C4 Model]]
+- 응용: [[ATAM]] · [[RFC Process]] · [[C4 Model (Architecture Documentation)]]
 - Adjacent: [[GitOps]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Architecture/Architectural-Constraint-Enforcement.md b/10_Wiki/Topics/Architecture/Architectural-Constraint-Enforcement.md
index 6858e789..719bed58 100644
--- a/10_Wiki/Topics/Architecture/Architectural-Constraint-Enforcement.md
+++ b/10_Wiki/Topics/Architecture/Architectural-Constraint-Enforcement.md
@@ -194,8 +194,8 @@ layers =
 ## 🔗 Graph
 - 부모: [[Software Architecture]] · [[Fitness Functions]]
 - 변형: [[Static-Analysis]]
-- 응용: [[CI-CD]] · [[Architecture_Refactor]]
-- Adjacent: [[Architecture Erosion (아키텍처 침식)]] · [[Modular-Monolith]]
+- 응용: [[CI CD]] · [[Architecture_Refactor]]
+- Adjacent: [[Architecture Erosion (아키텍처 침식)]] · [[Modular Monolith]]
 
 ## 🤖 LLM 활용
 **언제**: 매 plain English rule → ArchUnit/depcruise config 의 translation, 매 violation message 의 fix suggestion.
diff --git a/10_Wiki/Topics/Architecture/Architecture Description (아키텍처 명세).md b/10_Wiki/Topics/Architecture/Architecture Description (아키텍처 명세).md
index 3e468a76..c41896ba 100644
--- a/10_Wiki/Topics/Architecture/Architecture Description (아키텍처 명세).md	
+++ b/10_Wiki/Topics/Architecture/Architecture Description (아키텍처 명세).md	
@@ -172,7 +172,7 @@ structurizr-cli push -workspace workspace.dsl \
 
 ## 🔗 Graph
 - 부모: [[Software Architecture]]
-- 변형: [[C4 Model]] · [[arc42]]
+- 변형: [[C4 Model (Architecture Documentation)]] · [[arc42]]
 - 응용: [[Architecture_Diagramming_Standards]] · [[Architecture Review (아키텍처 및 설계 리뷰)]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Architecture/Architecture_Refactor.md b/10_Wiki/Topics/Architecture/Architecture_Refactor.md
index 0da3a534..b31e9af4 100644
--- a/10_Wiki/Topics/Architecture/Architecture_Refactor.md
+++ b/10_Wiki/Topics/Architecture/Architecture_Refactor.md
@@ -173,7 +173,7 @@ metrics:
 ## 🔗 Graph
 - 부모: [[Software Architecture]] · [[Refactoring_Best_Practices|Refactoring]]
 - 변형: [[Strangler-Fig]] · [[Branch-by-Abstraction]]
-- 응용: [[Modular-Monolith]] · [[Microservices]]
+- 응용: [[Modular Monolith]] · [[Microservices]]
 - Adjacent: [[Architecture Erosion (아키텍처 침식)]] · [[Architectural-Constraint-Enforcement]] · [[Architecture Review (아키텍처 및 설계 리뷰)]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Architecture/Aspect-Oriented Programming (AOP).md b/10_Wiki/Topics/Architecture/Aspect-Oriented Programming (AOP).md
index 8160e762..44536050 100644
--- a/10_Wiki/Topics/Architecture/Aspect-Oriented Programming (AOP).md	
+++ b/10_Wiki/Topics/Architecture/Aspect-Oriented Programming (AOP).md	
@@ -199,8 +199,8 @@ class Pricing {
 ## 🔗 Graph
 - 부모: [[Object-Oriented-Programming]] · [[Software-Architecture]]
 - 변형: [[Middleware]]
-- 응용: [[Spring-Framework]] · [[NestJS]] · [[OpenTelemetry]]
-- Adjacent: [[Dependency_Injection_(DI)|Dependency-Injection]] · [[Cross-Cutting-Concerns]]
+- 응용: [[Spring Framework]] · [[NestJS]] · [[OpenTelemetry]]
+- Adjacent: [[Dependency_Injection_(DI)|Dependency-Injection]] · [[Cross-Cutting Concerns]]
 
 ## 🤖 LLM 활용
 **언제**: cross-cutting concern (logging/TX/security/caching) 이 매 여러 service 에 반복, declarative style 선호, framework 가 AOP 지원.
diff --git a/10_Wiki/Topics/Architecture/Branded-Types.md b/10_Wiki/Topics/Architecture/Branded-Types.md
index c84ee2ca..1ee734fc 100644
--- a/10_Wiki/Topics/Architecture/Branded-Types.md
+++ b/10_Wiki/Topics/Architecture/Branded-Types.md
@@ -161,7 +161,7 @@ function handleRequest(raw: { userId: string; email: string }) {
 
 ## 🔗 Graph
 - 부모: [[TypeScript Type System]]
-- 변형: [[Nominal-Typing-in-TypeScript|Nominal Typing]] · [[Opaque Types]]
+- 변형: [[Nominal-Typing-in-TypeScript|Nominal Typing]] · [[Opaque Types (TypeScript)]]
 - 응용: [[Parse Don't Validate]]
 - Adjacent: [[Ambient_Declarations]] · [[Schema Validation]]
 
diff --git a/10_Wiki/Topics/Architecture/Breaking Dependencies.md b/10_Wiki/Topics/Architecture/Breaking Dependencies.md
index cc68c47c..6b4b8b0c 100644
--- a/10_Wiki/Topics/Architecture/Breaking Dependencies.md	
+++ b/10_Wiki/Topics/Architecture/Breaking Dependencies.md	
@@ -232,8 +232,8 @@ private void payInvoiceLegacy(Invoice i) { /* 매 untouched */ }
 ## 🔗 Graph
 - 부모: [[Refactoring_Best_Practices|Refactoring]]
 - 변형: [[Sprout-Method]]
-- 응용: [[Test-Driven-Development]] · [[Hexagonal-Architecture]]
-- Adjacent: [[Dependency_Injection_(DI)|Dependency-Injection]] · [[SOLID-Principles]] · [[Mocking]]
+- 응용: [[Test-Driven Development]] · [[Hexagonal Architecture]]
+- Adjacent: [[Dependency_Injection_(DI)|Dependency-Injection]] · [[SOLID Principles]] · [[Mocking]]
 
 ## 🤖 LLM 활용
 **언제**: legacy code unit test 도입, untestable method 마주침, monolith 분해 직전 prep, third-party SDK lock-in 제거.
diff --git a/10_Wiki/Topics/Architecture/CAD 렌더링 최적화.md b/10_Wiki/Topics/Architecture/CAD 렌더링 최적화.md
index 2e2cef2b..54407fc9 100644
--- a/10_Wiki/Topics/Architecture/CAD 렌더링 최적화.md	
+++ b/10_Wiki/Topics/Architecture/CAD 렌더링 최적화.md	
@@ -158,7 +158,7 @@ for (const part of visibleAfterFrustum) {
 **기본값**: BVH culling + 4-tier LOD + instanced fasteners (covers 90% mid-size assemblies).
 
 ## 🔗 Graph
-- 부모: [[Computer_Graphics]] · [[GPU_Architecture]]
+- 부모: [[Computer_Graphics]] · [[GPU Architecture]]
 - 응용: [[Digital_Twin]]
 - Adjacent: [[WebGPU]] · [[Three.js]] · [[Level_of_Detail]]
 
diff --git a/10_Wiki/Topics/Architecture/Code Refactoring.md b/10_Wiki/Topics/Architecture/Code Refactoring.md
index d47b2df3..bb49a2c5 100644
--- a/10_Wiki/Topics/Architecture/Code Refactoring.md	
+++ b/10_Wiki/Topics/Architecture/Code Refactoring.md	
@@ -180,7 +180,7 @@ def test_legacy_charge_2025_invoice():
 ## 🔗 Graph
 - 부모: [[Code_Quality]]
 - 변형: [[Strangler_Fig]]
-- 응용: [[Legacy_Modernization]] · [[Test_Driven_Development]]
+- 응용: [[Legacy_Modernization]] · [[Test-Driven Development]]
 - Adjacent: [[Clean_Code]] · [[Design_Patterns]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Architecture/Concurrent_Rendering.md b/10_Wiki/Topics/Architecture/Concurrent_Rendering.md
index 5f2958f5..e495e3bf 100644
--- a/10_Wiki/Topics/Architecture/Concurrent_Rendering.md
+++ b/10_Wiki/Topics/Architecture/Concurrent_Rendering.md
@@ -150,7 +150,7 @@ startTransition(() => setQuery('ab'));  // wins
 - 부모: [[React]] · [[Rendering Pipeline]]
 - 변형: [[Fiber_Architecture|Fiber Architecture]] · [[Time_Slicing|Time Slicing]]
 - 응용: [[Streaming SSR]]
-- Adjacent: [[Virtual_DOM과_Reconciliation|Virtual DOM]] · [[Reconciliation]] · [[React Compiler]]
+- Adjacent: [[Virtual DOM과 Reconciliation|Virtual DOM]] · [[Reconciliation]] · [[React Compiler]]
 
 ## 🤖 LLM 활용
 **언제**: identify component 매 transition 으로 wrap 할 후보, code review 매 missed Suspense boundary.
diff --git a/10_Wiki/Topics/Architecture/Control_Systems_Engineering.md b/10_Wiki/Topics/Architecture/Control_Systems_Engineering.md
index 1b9d0d2d..b179cd98 100644
--- a/10_Wiki/Topics/Architecture/Control_Systems_Engineering.md
+++ b/10_Wiki/Topics/Architecture/Control_Systems_Engineering.md
@@ -152,7 +152,7 @@ while True:
 ## 🔗 Graph
 - 부모: [[Cyber-Physical-Systems]] · [[Robotics]]
 - 변형: [[PID]] · [[MPC]]
-- 응용: [[Digital-Twin]]
+- 응용: [[Digital Twin]]
 - Adjacent: [[Kalman-Filter-and-State-Tracking|Kalman-Filter]] · [[Reinforcement-Learning]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Architecture/DOM.md b/10_Wiki/Topics/Architecture/DOM.md
index aec6c0e9..3d3bc53d 100644
--- a/10_Wiki/Topics/Architecture/DOM.md
+++ b/10_Wiki/Topics/Architecture/DOM.md
@@ -145,7 +145,7 @@ document.querySelectorAll('img[data-src]').forEach((img) => io.observe(img));
 
 ## 🔗 Graph
 - 부모: [[Web Standards]]
-- 변형: [[Virtual_DOM과_Reconciliation|Virtual DOM]] · [[Shadow DOM]]
+- 변형: [[Virtual DOM과 Reconciliation|Virtual DOM]] · [[Shadow DOM]]
 - 응용: [[React]] · [[Web Components]] · [[Playwright]]
 - Adjacent: [[CSSOM]] · [[Reflow_and_Repaint|Reflow & Repaint]]
 
diff --git a/10_Wiki/Topics/Architecture/DORA-Metrics.md b/10_Wiki/Topics/Architecture/DORA-Metrics.md
index dcc7a25c..4126b96c 100644
--- a/10_Wiki/Topics/Architecture/DORA-Metrics.md
+++ b/10_Wiki/Topics/Architecture/DORA-Metrics.md
@@ -158,7 +158,7 @@ const elite = (df > 1/day) && (lt < 1*day) && (cfr < 0.05) && (mttr < 1*hour);
 ## 🔗 Graph
 - 부모: [[DevOps]] · [[Continuous-Delivery]]
 - 변형: [[Engineering-Metrics]]
-- 응용: [[Trunk-Based-Development]] · [[Continuous-Integration]] · [[SRE]]
+- 응용: [[Trunk-Based-Development]] · [[Continuous Integration]] · [[SRE]]
 - Adjacent: [[Postmortem-Culture]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Architecture/DeepReadonly.md b/10_Wiki/Topics/Architecture/DeepReadonly.md
index 98971b42..494d4a6f 100644
--- a/10_Wiki/Topics/Architecture/DeepReadonly.md
+++ b/10_Wiki/Topics/Architecture/DeepReadonly.md
@@ -144,7 +144,7 @@ function reducer<S, A>(state: DeepReadonly<S>, action: A): S {
 
 ## 🔗 Graph
 - 부모: [[TypeScript-Type-System]] · [[Immutability]]
-- 변형: [[Readonly]] · [[as-const]]
+- 변형: [[Readonly]] · [[as const]]
 - 응용: [[Zustand]] · [[Domain-Driven-Design]]
 - Adjacent: [[Branded-Types]] · [[Zod]] · [[Structural-Sharing]]
 
diff --git a/10_Wiki/Topics/Architecture/Dependencies (의존성).md b/10_Wiki/Topics/Architecture/Dependencies (의존성).md
index 53396d48..d701fcb5 100644
--- a/10_Wiki/Topics/Architecture/Dependencies (의존성).md	
+++ b/10_Wiki/Topics/Architecture/Dependencies (의존성).md	
@@ -136,7 +136,7 @@ pnpm dlx depcheck
 ## 🔗 Graph
 - 부모: [[Software-Architecture]]
 - 변형: [[Monorepo]]
-- 응용: [[Dependency-Analysis]] · [[SBOM]]
+- 응용: [[Dependency Analysis]] · [[SBOM]]
 - Adjacent: [[Supply-Chain-Security]] · [[Renovate]] · [[Dependabot]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Architecture/Digital_Twin.md b/10_Wiki/Topics/Architecture/Digital_Twin.md
index 058597af..cfbac885 100644
--- a/10_Wiki/Topics/Architecture/Digital_Twin.md
+++ b/10_Wiki/Topics/Architecture/Digital_Twin.md
@@ -143,7 +143,7 @@ env = VecEnvBase(headless=True)
 
 ## 🔗 Graph
 - 부모: [[Cyber-Physical-Systems]]
-- 응용: [[Predictive-Maintenance]]
+- 응용: [[Predictive Maintenance]]
 - Adjacent: [[Control_Systems_Engineering|Control-Systems-Engineering]] · [[MQTT]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Architecture/Distributed Systems Fallacies.md b/10_Wiki/Topics/Architecture/Distributed Systems Fallacies.md
index 27910f73..58257c53 100644
--- a/10_Wiki/Topics/Architecture/Distributed Systems Fallacies.md	
+++ b/10_Wiki/Topics/Architecture/Distributed Systems Fallacies.md	
@@ -165,7 +165,7 @@ app.get("/health/deep", async (_, res) => {
 
 ## 🔗 Graph
 - 부모: [[Distributed Systems]] · [[Software Architecture]]
-- 변형: [[CAP Theorem]] · [[PACELC]]
+- 변형: [[CAP Theorem & PACELC]] · [[PACELC]]
 - 응용: [[Microservices Architecture]] · [[Service Mesh]]
 - Adjacent: [[Resilience Patterns]] · [[Chaos Engineering]]
 
diff --git a/10_Wiki/Topics/Architecture/Distributed Tracing.md b/10_Wiki/Topics/Architecture/Distributed Tracing.md
index c35fe325..f7d58daa 100644
--- a/10_Wiki/Topics/Architecture/Distributed Tracing.md	
+++ b/10_Wiki/Topics/Architecture/Distributed Tracing.md	
@@ -181,7 +181,7 @@ beyla --config beyla.yaml
 ## 🔗 Graph
 - 부모: [[Observability]] · [[Microservices]]
 - 변형: [[Tempo]]
-- 응용: [[Service-Mesh]]
+- 응용: [[Service Mesh]]
 - Adjacent: [[OpenTelemetry]] · [[Logs]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Architecture/Event Mediator.md b/10_Wiki/Topics/Architecture/Event Mediator.md
index a62f24bb..c901db94 100644
--- a/10_Wiki/Topics/Architecture/Event Mediator.md	
+++ b/10_Wiki/Topics/Architecture/Event Mediator.md	
@@ -173,7 +173,7 @@ await producer.send({
 - 부모: [[Design-Patterns]] · [[Event-Driven-Architecture]]
 - 변형: [[Observer-Pattern]] · [[Pub-Sub]]
 - 응용: [[CQRS]] · [[Microservices]]
-- Adjacent: [[Event-Sourcing]]
+- Adjacent: [[Event Sourcing]]
 
 ## 🤖 LLM 활용
 **언제**: 매 N×N coupling 의 emerge — 매 5+ components 매 mutual callbacks. CQRS / saga implementation.
diff --git a/10_Wiki/Topics/Architecture/Event_Storming.md b/10_Wiki/Topics/Architecture/Event_Storming.md
index 78bddd02..68595543 100644
--- a/10_Wiki/Topics/Architecture/Event_Storming.md
+++ b/10_Wiki/Topics/Architecture/Event_Storming.md
@@ -150,7 +150,7 @@ const result = await claude.messages.create({
 
 ## 🔗 Graph
 - 응용: [[Bounded Context]] · [[CQRS]]
-- Adjacent: [[Event Sourcing]] · [[User Story Mapping]] · [[C4 Model]]
+- Adjacent: [[Event Sourcing]] · [[User-Story-Mapping]] · [[C4 Model (Architecture Documentation)]]
 
 ## 🤖 LLM 활용
 **언제**: 매 domain discovery, 매 microservice boundary 의 find, 매 onboarding 의 understanding.
diff --git a/10_Wiki/Topics/Architecture/Eventual Consistency.md b/10_Wiki/Topics/Architecture/Eventual Consistency.md
index 48ec1fd3..24dc7cd9 100644
--- a/10_Wiki/Topics/Architecture/Eventual Consistency.md	
+++ b/10_Wiki/Topics/Architecture/Eventual Consistency.md	
@@ -159,7 +159,7 @@ def merkle_sync(local_tree, remote_tree, path=""):
 **기본값**: 매 eventual + CRDT (counter, set, register). 매 money / lock / unique-id 는 strong.
 
 ## 🔗 Graph
-- 부모: [[Distributed Systems]] · [[CAP Theorem]]
+- 부모: [[Distributed Systems]] · [[CAP Theorem & PACELC]]
 - 변형: [[Strong Consistency]] · [[Read-Your-Writes]]
 - 응용: [[Cassandra]] · [[CRDT]]
 - Adjacent: [[Vector Clock]] · [[Quorum]]
diff --git a/10_Wiki/Topics/Architecture/Excess_Property_Checking.md b/10_Wiki/Topics/Architecture/Excess_Property_Checking.md
index 5cb78618..4c69bf1c 100644
--- a/10_Wiki/Topics/Architecture/Excess_Property_Checking.md
+++ b/10_Wiki/Topics/Architecture/Excess_Property_Checking.md
@@ -133,8 +133,8 @@ const config = {
 
 ## 🔗 Graph
 - 부모: [[TypeScript]] · [[TypeScript 타입 시스템 (TypeScript Type System)|Type-System]]
-- 변형: [[Structural Typing|Structural-Typing]] · [[Satisfies-Operator]]
-- Adjacent: [[API 응답 및 상태 모델링 (State Modeling and API Responses)|Discriminated-Unions]]
+- 변형: [[Structural Typing|Structural-Typing]] · [[Satisfies Operator]]
+- Adjacent: [[API Response & State Modeling|Discriminated-Unions]]
 
 ## 🤖 LLM 활용
 **언제**: 매 typo-prone literal — config, props, API body. Schema-bound inputs.
diff --git a/10_Wiki/Topics/Architecture/Exploration_vs_Exploitation.md b/10_Wiki/Topics/Architecture/Exploration_vs_Exploitation.md
index 25f4fc4a..4a1f32ba 100644
--- a/10_Wiki/Topics/Architecture/Exploration_vs_Exploitation.md
+++ b/10_Wiki/Topics/Architecture/Exploration_vs_Exploitation.md
@@ -175,10 +175,10 @@ def sample_token(logits, temperature=0.7, top_p=0.9):
 **기본값**: 매 Thompson Sampling — 매 strong empirical 의 winner, 매 simple implementation.
 
 ## 🔗 Graph
-- 부모: [[Reinforcement-Learning]] · [[Decision-Theory]]
+- 부모: [[Reinforcement-Learning]] · [[Decision Theory]]
 - 변형: [[Multi-Armed-Bandit]]
 - 응용: [[Recommender-Systems]] · [[Hyperparameters|Hyperparameter-Tuning]] · [[MCTS]]
-- Adjacent: [[Bayesian-Optimization]] · [[Active-Learning]] · [[LLM-Sampling]]
+- Adjacent: [[Bayesian-Optimization]] · [[Active Learning]] · [[LLM-Sampling]]
 
 ## 🤖 LLM 활용
 **언제**: 매 sequential decision 매 reward feedback. Cold-start recommender. A/B 의 multi-arm 의 generalize.
diff --git a/10_Wiki/Topics/Architecture/Fault-Tolerance.md b/10_Wiki/Topics/Architecture/Fault-Tolerance.md
index 1a654218..87cd76d1 100644
--- a/10_Wiki/Topics/Architecture/Fault-Tolerance.md
+++ b/10_Wiki/Topics/Architecture/Fault-Tolerance.md
@@ -186,7 +186,7 @@ class OrderSaga:
 - 부모: [[Distributed Systems]]
 - 변형: [[Circuit Breaker]]
 - 응용: [[Kubernetes]] · [[Microservices]]
-- Adjacent: [[Chaos Engineering]] · [[Eventual Consistency]] · [[CAP Theorem]]
+- Adjacent: [[Chaos Engineering]] · [[Eventual Consistency]] · [[CAP Theorem & PACELC]]
 
 ## 🤖 LLM 활용
 **언제**: 매 distributed system design 시 failure mode enumeration, supervisor tree 설계, retry strategy 추천.
diff --git a/10_Wiki/Topics/Architecture/Feature-Driven_Architecture.md b/10_Wiki/Topics/Architecture/Feature-Driven_Architecture.md
index 7a75effc..d5de9c75 100644
--- a/10_Wiki/Topics/Architecture/Feature-Driven_Architecture.md
+++ b/10_Wiki/Topics/Architecture/Feature-Driven_Architecture.md
@@ -172,9 +172,9 @@ export function Search() {
 **기본값**: 매 frontend 매 FSD, 매 backend 매 vertical slice — 매 cross-feature 의 events.
 
 ## 🔗 Graph
-- 부모: [[Software-Architecture]] · [[Modular-Monolith]]
-- 변형: [[Feature-Sliced-Design]] · [[Vertical-Slice-Architecture]] · [[Hexagonal-Architecture]]
-- 응용: [[Microfrontends]] · [[CQRS]] · [[Bounded-Context]]
+- 부모: [[Software-Architecture]] · [[Modular Monolith]]
+- 변형: [[Feature-Sliced-Design]] · [[Vertical-Slice-Architecture]] · [[Hexagonal Architecture]]
+- 응용: [[Micro frontends]] · [[CQRS]] · [[Bounded Context]]
 - Adjacent: [[Domain-Driven-Design]] · [[Clean-Architecture]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Architecture/Fiber_Architecture.md b/10_Wiki/Topics/Architecture/Fiber_Architecture.md
index 4e8a48e4..a15b79c9 100644
--- a/10_Wiki/Topics/Architecture/Fiber_Architecture.md
+++ b/10_Wiki/Topics/Architecture/Fiber_Architecture.md
@@ -140,9 +140,9 @@ Profiler tab → Highlight transitions → 매 어느 lane 에서 commit 됐는
 
 ## 🔗 Graph
 - 부모: [[React]] · [[Reconciliation]]
-- 변형: [[React Server Components]] · [[Concurrent Features|Concurrent Rendering]]
+- 변형: [[React Server Components — 경계 의식]] · [[Concurrent Features|Concurrent Rendering]]
 - 응용: [[Suspense]] · [[useTransition]] · [[useDeferredValue]] · [[Streaming SSR]]
-- Adjacent: [[Virtual_DOM과_Reconciliation|Virtual DOM]] · [[Hydration]]
+- Adjacent: [[Virtual DOM과 Reconciliation|Virtual DOM]] · [[Hydration]]
 
 ## 🤖 LLM 활용
 **언제**: 매 jank 진단, transition vs sync 결정, Suspense boundary 위치 reasoning.
diff --git a/10_Wiki/Topics/Architecture/Fragment-bound.md b/10_Wiki/Topics/Architecture/Fragment-bound.md
index 36d14644..b563a30f 100644
--- a/10_Wiki/Topics/Architecture/Fragment-bound.md
+++ b/10_Wiki/Topics/Architecture/Fragment-bound.md
@@ -206,7 +206,7 @@ function Slot({ children }: SlotProps) {
 ## 🔗 Graph
 - 부모: [[React]] · [[JSX]]
 - 변형: [[Slot-Pattern]]
-- 응용: [[CSS-Grid]] · [[Component-Composition]]
+- 응용: [[CSS Grid]] · [[Component-Composition]]
 
 ## 🤖 LLM 활용
 **언제**: 매 multi-root component. Table/Grid layout 의 wrapper 의 break 의 시. List item 매 multiple sibling 의 render.
diff --git a/10_Wiki/Topics/Architecture/Functional_Programming.md b/10_Wiki/Topics/Architecture/Functional_Programming.md
index ab0b4ce5..e6403dc1 100644
--- a/10_Wiki/Topics/Architecture/Functional_Programming.md
+++ b/10_Wiki/Topics/Architecture/Functional_Programming.md
@@ -192,7 +192,7 @@ product = reduce(lambda a, b: a * b, [1, 2, 3, 4], 1)
 **기본값**: 매 mainstream language 에서 매 pure function preference + immutable default + side effect 격리.
 
 ## 🔗 Graph
-- 응용: [[프론트엔드_및_UIUX_표준|Redux]] · [[CQRS]]
+- 응용: [[프론트엔드 및 UIUX 표준|Redux]] · [[CQRS]]
 - Adjacent: [[Immutability]] · [[Type Theory]] · [[Algebraic Data Types]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Architecture/Gates.md b/10_Wiki/Topics/Architecture/Gates.md
index 5ac4ffd4..3a24c18b 100644
--- a/10_Wiki/Topics/Architecture/Gates.md
+++ b/10_Wiki/Topics/Architecture/Gates.md
@@ -132,7 +132,7 @@ strategy:
 **기본값**: PR gate (lint+test+typecheck) → main gate (E2E+coverage) → prod gate (manual approval+canary).
 
 ## 🔗 Graph
-- 부모: [[CI-CD]] · [[DevOps]]
+- 부모: [[CI CD]] · [[DevOps]]
 - 변형: [[Quality-Gate]]
 - 응용: [[GitHub-Actions]] · [[ArgoCD]] · [[SonarQube]]
 - Adjacent: [[Trunk-Based-Development]] · [[Feature-Flags]]
diff --git a/10_Wiki/Topics/Architecture/God-Object-Antipattern.md b/10_Wiki/Topics/Architecture/God-Object-Antipattern.md
index 5e3566c1..96783488 100644
--- a/10_Wiki/Topics/Architecture/God-Object-Antipattern.md
+++ b/10_Wiki/Topics/Architecture/God-Object-Antipattern.md
@@ -158,10 +158,10 @@ sonar.cpd.exclusions=**/*.test.ts
 **기본값**: 매 SRP — 매 class 의 one reason to change.
 
 ## 🔗 Graph
-- 부모: [[Code-Smells]]
+- 부모: [[Code Smells]]
 - 변형: [[Big-Ball-of-Mud]] · [[Distributed-Monolith]]
 - 응용: [[Refactoring_Best_Practices|Refactoring]] · [[SOLID]] · [[DDD]]
-- Adjacent: [[High-Cohesion-Low-Coupling]] · [[Single Responsibility Principle (SRP)|Single-Responsibility-Principle]] · [[Bounded-Context]]
+- Adjacent: [[High-Cohesion-Low-Coupling]] · [[Single Responsibility Principle (SRP)|Single-Responsibility-Principle]] · [[Bounded Context]]
 
 ## 🤖 LLM 활용
 **언제**: god class 의 detect, extract-class 의 refactor 의 suggest, responsibility 의 cluster 의 propose.
diff --git a/10_Wiki/Topics/Architecture/High-Cohesion-Low-Coupling.md b/10_Wiki/Topics/Architecture/High-Cohesion-Low-Coupling.md
index 5315a055..5849c12d 100644
--- a/10_Wiki/Topics/Architecture/High-Cohesion-Low-Coupling.md
+++ b/10_Wiki/Topics/Architecture/High-Cohesion-Low-Coupling.md
@@ -147,7 +147,7 @@ npx madge --summary --extensions ts src/   # fan-in/fan-out per module
 
 ## 🔗 Graph
 - 부모: [[Software-Architecture]] · [[Modularity]]
-- 변형: [[Single Responsibility Principle (SRP)|Single-Responsibility-Principle]] · [[Bounded-Context]] · [[Hexagonal-Architecture]]
+- 변형: [[Single Responsibility Principle (SRP)|Single-Responsibility-Principle]] · [[Bounded Context]] · [[Hexagonal Architecture]]
 - 응용: [[SOLID]] · [[Microservices]] · [[Clean-Architecture]]
 - Adjacent: [[God-Object-Antipattern]] · [[Dependency-Inversion]]
 
diff --git a/10_Wiki/Topics/Architecture/Hydration.md b/10_Wiki/Topics/Architecture/Hydration.md
index 81d75cf3..96fb3f80 100644
--- a/10_Wiki/Topics/Architecture/Hydration.md
+++ b/10_Wiki/Topics/Architecture/Hydration.md
@@ -134,7 +134,7 @@ const stream = renderToPipeableStream(<App/>, {
 - 부모: [[SSR]] · [[Web Architecture]]
 - 변형: [[Selective Hydration]] · [[Islands Architecture]] · [[Resumability]]
 - 응용: [[Next.js]] · [[Astro]] · [[Qwik]] · [[Remix]]
-- Adjacent: [[Fiber_Architecture|Fiber Architecture]] · [[Streaming SSR]] · [[React Server Components]] · [[Core Web Vitals Optimization (INP, LCP 개선)|Core Web Vitals]]
+- Adjacent: [[Fiber_Architecture|Fiber Architecture]] · [[Streaming SSR]] · [[React Server Components — 경계 의식]] · [[Core Web Vitals Optimization (INP, LCP, CLS)|Core Web Vitals]]
 
 ## 🤖 LLM 활용
 **언제**: TTI / LCP / INP 진단, framework 선택, hydration mismatch 디버깅.
diff --git a/10_Wiki/Topics/Architecture/Implementation Separation.md b/10_Wiki/Topics/Architecture/Implementation Separation.md
index b3374df4..cdc154a8 100644
--- a/10_Wiki/Topics/Architecture/Implementation Separation.md	
+++ b/10_Wiki/Topics/Architecture/Implementation Separation.md	
@@ -157,8 +157,8 @@ src/
 **기본값**: 매 ports 매 domain 옆, adapters 매 infra layer, 매 composition root 매 wire.
 
 ## 🔗 Graph
-- 부모: [[Hexagonal-Architecture]] · [[Dependency-Inversion-Principle]]
-- 변형: [[Ports-and-Adapters]] · [[Clean-Architecture]] · [[Onion-Architecture]]
+- 부모: [[Hexagonal Architecture]] · [[Dependency Inversion Principle]]
+- 변형: [[Ports and Adapters]] · [[Clean-Architecture]] · [[Onion-Architecture]]
 - 응용: [[Test-Doubles]]
 - Adjacent: [[High-Cohesion-Low-Coupling]] · [[SOLID]]
 
diff --git a/10_Wiki/Topics/Architecture/In-Memory Data Grid.md b/10_Wiki/Topics/Architecture/In-Memory Data Grid.md
index 1c9cba88..ebdfdd79 100644
--- a/10_Wiki/Topics/Architecture/In-Memory Data Grid.md	
+++ b/10_Wiki/Topics/Architecture/In-Memory Data Grid.md	
@@ -142,7 +142,7 @@ spec:
 ## 🔗 Graph
 - 부모: [[Distributed-Systems]]
 - 변형: [[Distributed-Cache]] · [[NewSQL]]
-- 응용: [[Apache-Ignite]]
+- 응용: [[Apache Ignite]]
 - Adjacent: [[CAP-Theorem]] · [[Consistent-Hashing]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Architecture/Incremental-Static-Regeneration-ISR.md b/10_Wiki/Topics/Architecture/Incremental-Static-Regeneration-ISR.md
index b22dd646..6f55ddf3 100644
--- a/10_Wiki/Topics/Architecture/Incremental-Static-Regeneration-ISR.md
+++ b/10_Wiki/Topics/Architecture/Incremental-Static-Regeneration-ISR.md
@@ -155,7 +155,7 @@ export default function Page() {
 - 부모: [[Web-Rendering-Strategies]]
 - 변형: [[Stale-While-Revalidate]] · [[Edge-SSR]]
 - 응용: [[Next.js]]
-- Adjacent: [[CDN]] · [[React-Server-Components]] · [[Island Architecture]]
+- Adjacent: [[CDN]] · [[React Server Components — 경계 의식]] · [[Island Architecture]]
 
 ## 🤖 LLM 활용
 **언제**: revalidate strategy 의 design, webhook handler 의 generate, cache tag 의 schema 의 propose.
diff --git a/10_Wiki/Topics/Architecture/Incremental_Marking.md b/10_Wiki/Topics/Architecture/Incremental_Marking.md
index e10fa36c..26699f6a 100644
--- a/10_Wiki/Topics/Architecture/Incremental_Marking.md
+++ b/10_Wiki/Topics/Architecture/Incremental_Marking.md
@@ -122,10 +122,10 @@ void mark_termination() {
 **기본값**: 매 modern runtime 의 기본 (V8, Go, JVM G1) — explicit tuning 없이 incremental marking 의 enabled.
 
 ## 🔗 Graph
-- 부모: [[Garbage-Collection]] · [[Memory-Management]]
+- 부모: [[Garbage Collection]] · [[Memory Management]]
 - 변형: [[Concurrent-Marking]]
 - 응용: [[V8]]
-- Adjacent: [[Write-Barrier]] · [[Reference-Counting]]
+- Adjacent: [[Write Barrier]] · [[Reference-Counting]]
 
 ## 🤖 LLM 활용
 **언제**: GC pause 의 root cause 의 analysis, write barrier 의 correctness 의 reasoning, GC log 의 parse.
diff --git a/10_Wiki/Topics/Architecture/Indian-Innovation-Models.md b/10_Wiki/Topics/Architecture/Indian-Innovation-Models.md
index 8cd6e002..42ed6988 100644
--- a/10_Wiki/Topics/Architecture/Indian-Innovation-Models.md
+++ b/10_Wiki/Topics/Architecture/Indian-Innovation-Models.md
@@ -120,7 +120,7 @@ Example: GE MAC 400 (designed for India) -> sold in US rural clinics
 
 ## 🔗 Graph
 - 변형: [[Frugal-Innovation]] · [[Jugaad]] · [[Gandhian-Engineering]]
-- Adjacent: [[Lean-Startup]]
+- Adjacent: [[Lean Startup]]
 
 ## 🤖 LLM 활용
 **언제**: 매 emerging-market product design; 매 climate-tech affordability; 매 BOP strategy.
diff --git a/10_Wiki/Topics/Architecture/InstancedMesh.md b/10_Wiki/Topics/Architecture/InstancedMesh.md
index 70c4b215..02e4d173 100644
--- a/10_Wiki/Topics/Architecture/InstancedMesh.md
+++ b/10_Wiki/Topics/Architecture/InstancedMesh.md
@@ -175,7 +175,7 @@ if (hits.length) {
 - 부모: [[three.js]] · [[GPU-Instancing]]
 - 변형: [[BatchedMesh]]
 - 응용: [[Crowd-Simulation]]
-- Adjacent: [[WebGPU]] · [[Frustum-Culling]] · [[LOD]]
+- Adjacent: [[WebGPU]] · [[Frustum Culling]] · [[LOD]]
 
 ## 🤖 LLM 활용
 **언제**: 매 three.js 매 thousands of repeated objects; 매 WebGL 매 draw call optimization.
diff --git a/10_Wiki/Topics/Architecture/Integration_Architecture_Diagrams.md b/10_Wiki/Topics/Architecture/Integration_Architecture_Diagrams.md
index 3afed3fa..581b4ff9 100644
--- a/10_Wiki/Topics/Architecture/Integration_Architecture_Diagrams.md
+++ b/10_Wiki/Topics/Architecture/Integration_Architecture_Diagrams.md
@@ -165,7 +165,7 @@ flowchart LR
 
 ## 🔗 Graph
 - 부모: [[Software-Architecture]]
-- 변형: [[C4-Model]]
+- 변형: [[C4 Model (Architecture Documentation)]]
 - 응용: [[Mermaid]] · [[Structurizr]] · [[PlantUML]] · [[D2]]
 - Adjacent: [[ADR]] · [[Threat-Modeling]]
 
diff --git a/10_Wiki/Topics/Architecture/Island Architecture.md b/10_Wiki/Topics/Architecture/Island Architecture.md
index 08b796c3..75cbacb6 100644
--- a/10_Wiki/Topics/Architecture/Island Architecture.md	
+++ b/10_Wiki/Topics/Architecture/Island Architecture.md	
@@ -148,10 +148,10 @@ ci:
 **기본값**: 매 marketing/blog/docs — Astro + island per interactive component. 매 dashboard-y app — Next.js RSC.
 
 ## 🔗 Graph
-- 부모: [[Web-Rendering-Strategies]] · [[프론트엔드_및_UIUX_표준|Frontend-Architecture]]
-- 변형: [[Partial-Hydration]] · [[Resumability]] · [[Streaming-SSR]]
+- 부모: [[Web-Rendering-Strategies]] · [[프론트엔드 및 UIUX 표준|Frontend-Architecture]]
+- 변형: [[Partial-Hydration]] · [[Resumability]] · [[Streaming SSR]]
 - 응용: [[Astro]] · [[Qwik]]
-- Adjacent: [[React-Server-Components]] · [[Incremental-Static-Regeneration-ISR]] · [[MPA]]
+- Adjacent: [[React Server Components — 경계 의식]] · [[Incremental-Static-Regeneration-ISR]] · [[MPA]]
 
 ## 🤖 LLM 활용
 **언제**: page 의 island boundary 의 propose, hydration directive 의 select, JS bundle 의 reduction 의 suggest.
diff --git a/10_Wiki/Topics/Architecture/Keeper of the Vision.md b/10_Wiki/Topics/Architecture/Keeper of the Vision.md
index 282d8fcc..2209d636 100644
--- a/10_Wiki/Topics/Architecture/Keeper of the Vision.md	
+++ b/10_Wiki/Topics/Architecture/Keeper of the Vision.md	
@@ -111,8 +111,8 @@ Cost: 1h/week. Benefit: prevents 10× cost of misalignment.
 **기본값**: 매 ADR + weekly office hours + 매 명시적 vision document.
 
 ## 🔗 Graph
-- 부모: [[Conceptual-Integrity]]
-- 응용: [[ADR-Architecture-Decision-Record]]
+- 부모: [[Conceptual Integrity]]
+- 응용: [[ADR (Architecture Decision Record)]]
 - Adjacent: [[Conways-Law]] · [[Technical_Debt|Technical-Debt]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Architecture/LSTM_(Long_Short-Term_Memory).md b/10_Wiki/Topics/Architecture/LSTM_(Long_Short-Term_Memory).md
index 9fa4a1a8..af021d17 100644
--- a/10_Wiki/Topics/Architecture/LSTM_(Long_Short-Term_Memory).md
+++ b/10_Wiki/Topics/Architecture/LSTM_(Long_Short-Term_Memory).md
@@ -165,7 +165,7 @@ torch.onnx.export(
 
 ## 🔗 Graph
 - 부모: [[Sequence Modeling]]
-- 변형: [[데이터_사이언스_및_ML_엔지니어링|GRU]]
+- 변형: [[데이터 사이언스 및 ML 엔지니어링|GRU]]
 - 응용: [[Anomaly Detection]]
 - Adjacent: [[Transformer]] · [[Transformer_Architecture_and_LLM_Foundations|Attention Mechanism]]
 
diff --git a/10_Wiki/Topics/Architecture/Modern Review Workflow.md b/10_Wiki/Topics/Architecture/Modern Review Workflow.md
index a072d42a..9fa80654 100644
--- a/10_Wiki/Topics/Architecture/Modern Review Workflow.md	
+++ b/10_Wiki/Topics/Architecture/Modern Review Workflow.md	
@@ -156,7 +156,7 @@ if (delta < -1) await gh.issues.createComment({
 **기본값**: AI first-pass + 1 human reviewer + risk-tiered escalation.
 
 ## 🔗 Graph
-- 부모: [[CI-CD]]
+- 부모: [[CI CD]]
 - 변형: [[Pair-Programming]] · [[Mob-Programming]]
 - 응용: [[Trunk-Based-Development]]
 - Adjacent: [[Static-Analysis]] · [[Mutation-Testing]]
diff --git a/10_Wiki/Topics/Architecture/Modern-Website-Architecture.md b/10_Wiki/Topics/Architecture/Modern-Website-Architecture.md
index c403a180..960e4cb6 100644
--- a/10_Wiki/Topics/Architecture/Modern-Website-Architecture.md
+++ b/10_Wiki/Topics/Architecture/Modern-Website-Architecture.md
@@ -182,10 +182,10 @@ import { unstable_ViewTransition as ViewTransition } from "react";
 **기본값**: Next.js 16 RSC for apps, Astro 5 for content.
 
 ## 🔗 Graph
-- 부모: [[Web-Architecture]] · [[프론트엔드_및_UIUX_표준|Frontend-Architecture]]
+- 부모: [[Web-Architecture]] · [[프론트엔드 및 UIUX 표준|Frontend-Architecture]]
 - 변형: [[Single-Page-Application]] · [[MPA]]
 - 응용: [[Next-js-and-Modern-Web]] · [[Edge Computing|Edge-Computing]]
-- Adjacent: [[CDN]] · [[Server-Components]] · [[Hydration]]
+- Adjacent: [[CDN]] · [[Server Components]] · [[Hydration]]
 
 ## 🤖 LLM 활용
 **언제**: 매 server vs client component 의 split-suggest, Suspense boundary 의 propose, cache strategy 의 review.
diff --git a/10_Wiki/Topics/Architecture/Modular-Programming.md b/10_Wiki/Topics/Architecture/Modular-Programming.md
index 7d990216..6fe4d5a7 100644
--- a/10_Wiki/Topics/Architecture/Modular-Programming.md
+++ b/10_Wiki/Topics/Architecture/Modular-Programming.md
@@ -156,7 +156,7 @@ export const payments = {
 
 ## 🔗 Graph
 - 부모: [[Software-Architecture]] · [[Information-Hiding]]
-- 변형: [[Microservices]] · [[Hexagonal-Architecture]] · [[Clean-Architecture]]
+- 변형: [[Microservices]] · [[Hexagonal Architecture]] · [[Clean-Architecture]]
 - 응용: [[Monorepo]] · [[Library-Design]]
 - Adjacent: [[Domain-Driven-Design]] · [[SOLID]]
 
diff --git a/10_Wiki/Topics/Architecture/Multi-threaded Architecture.md b/10_Wiki/Topics/Architecture/Multi-threaded Architecture.md
index 026cc6ef..2bf29c77 100644
--- a/10_Wiki/Topics/Architecture/Multi-threaded Architecture.md	
+++ b/10_Wiki/Topics/Architecture/Multi-threaded Architecture.md	
@@ -161,7 +161,7 @@ struct FrameSync {
 ## 🔗 Graph
 - 부모: [[Concurrent_Rendering]] · [[Distributed-Systems|Distributed_Computing]]
 - 변형: [[Fiber_Architecture]]
-- 응용: [[Game_Loop]] · [[V8_엔진_힙_아키텍처|V8 Heap Architecture]] · [[Browser]]
+- 응용: [[Game_Loop]] · [[V8 엔진 힙 아키텍처|V8 Heap Architecture]] · [[Browser]]
 - Adjacent: [[SharedArrayBuffer_보안_이슈와_Cross-Origin_Isolation]] · [[Memory_Leaks]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Architecture/Netflix_마이크로서비스_전환.md b/10_Wiki/Topics/Architecture/Netflix_마이크로서비스_전환.md
index d780d462..3687aea8 100644
--- a/10_Wiki/Topics/Architecture/Netflix_마이크로서비스_전환.md
+++ b/10_Wiki/Topics/Architecture/Netflix_마이크로서비스_전환.md
@@ -163,7 +163,7 @@ canaryConfig:
 
 ## 🔗 Graph
 - 부모: [[Microservices]]
-- 변형: [[Service-Oriented-Architecture]] · [[Service-Mesh]]
+- 변형: [[Service-Oriented-Architecture]] · [[Service Mesh]]
 - 응용: [[Chaos-Engineering]] · [[Spinnaker]]
 - Adjacent: [[Strangler-Pattern]] · [[Circuit-Breaker]]
 
diff --git a/10_Wiki/Topics/Architecture/Next-js-and-Modern-Web.md b/10_Wiki/Topics/Architecture/Next-js-and-Modern-Web.md
index d3e16d22..d1a9ee75 100644
--- a/10_Wiki/Topics/Architecture/Next-js-and-Modern-Web.md
+++ b/10_Wiki/Topics/Architecture/Next-js-and-Modern-Web.md
@@ -210,7 +210,7 @@ export const config = { matcher: "/app/:path*" };
 ## 🔗 Graph
 - 부모: [[Modern-Website-Architecture]] · [[React]]
 - 변형: [[Remix]] · [[SvelteKit]] · [[Astro]]
-- 응용: [[Server-Components]] · [[Edge Computing|Edge-Computing]]
+- 응용: [[Server Components]] · [[Edge Computing|Edge-Computing]]
 - Adjacent: [[Turbopack]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Architecture/NoSQL-Databases-in-AI.md b/10_Wiki/Topics/Architecture/NoSQL-Databases-in-AI.md
index 11a3cb5d..738f0bdc 100644
--- a/10_Wiki/Topics/Architecture/NoSQL-Databases-in-AI.md
+++ b/10_Wiki/Topics/Architecture/NoSQL-Databases-in-AI.md
@@ -207,7 +207,7 @@ fused = reciprocal_rank_fusion([keyword_hits, vector_hits], k=60)
 
 ## 🔗 Graph
 - 응용: [[RAG]] · [[Semantic Search|Semantic-Search]] · [[Agent-Memory]]
-- Adjacent: [[Embeddings]] · [[Hybrid-Search]] · [[pgvector]]
+- Adjacent: [[Embeddings]] · [[Hybrid Search]] · [[pgvector]]
 
 ## 🤖 LLM 활용
 **언제**: 매 schema design 의 propose, query construction 의 boilerplate, hybrid-search blend 의 tune.
diff --git a/10_Wiki/Topics/Architecture/Nudge_Theory.md b/10_Wiki/Topics/Architecture/Nudge_Theory.md
index d854e85f..7df65bd6 100644
--- a/10_Wiki/Topics/Architecture/Nudge_Theory.md
+++ b/10_Wiki/Topics/Architecture/Nudge_Theory.md
@@ -122,7 +122,7 @@ function ProfileCompletion({ percent }: { percent: number }) {
 **기본값**: transparent default + easy opt-out — 매 dark pattern과의 차별점.
 
 ## 🔗 Graph
-- 부모: [[Behavioral_Economics]] · [[Cognitive_Bias]]
+- 부모: [[Behavioral_Economics]] · [[Cognitive Bias]]
 - 변형: [[Choice_Architecture]] · [[Habit_Loop]]
 - 응용: [[Micro-interactions]] · [[Gamification]]
 - Adjacent: [[FOMO (Fear of Missing Out)]] · [[Progressive-Disclosure]] · [[매몰_비용_오류_(Sunk_Cost_Fallacy)]]
diff --git a/10_Wiki/Topics/Architecture/Old_Space.md b/10_Wiki/Topics/Architecture/Old_Space.md
index 1d1276cb..cd904d0a 100644
--- a/10_Wiki/Topics/Architecture/Old_Space.md
+++ b/10_Wiki/Topics/Architecture/Old_Space.md
@@ -132,7 +132,7 @@ function compute(obj) {
 **기본값**: 매 default V8 settings — limit 변경은 측정 후.
 
 ## 🔗 Graph
-- 부모: [[V8_엔진_힙_아키텍처|V8 Heap Architecture]] · [[Garbage_Collection]]
+- 부모: [[V8 엔진 힙 아키텍처|V8 Heap Architecture]] · [[Garbage_Collection]]
 - 변형: [[Mark-Sweep]] · [[Incremental_Marking]] · [[Generational_Hypothesis]]
 - 응용: [[Orinoco]] · [[Pointer_Compression]] · [[Memory_Leaks]]
 - Adjacent: [[Write Barrier|Write_Barrier]] · [[Snapshots]] · [[Reachability_Analysis]]
diff --git a/10_Wiki/Topics/Architecture/Orinoco.md b/10_Wiki/Topics/Architecture/Orinoco.md
index 09195169..1c9c0d28 100644
--- a/10_Wiki/Topics/Architecture/Orinoco.md
+++ b/10_Wiki/Topics/Architecture/Orinoco.md
@@ -114,7 +114,7 @@ obs.observe({ entryTypes: ['gc'] });
 **기본값**: 매 default flags (Orinoco on) — 매 manual disable 회피.
 
 ## 🔗 Graph
-- 부모: [[Garbage_Collection]] · [[V8_엔진_힙_아키텍처|V8 Heap Architecture]]
+- 부모: [[Garbage_Collection]] · [[V8 엔진 힙 아키텍처|V8 Heap Architecture]]
 - 변형: [[Incremental_Marking]] · [[Concurrent_Marking]] · [[Mark-Sweep]]
 - 응용: [[Old_Space]] · [[Pointer_Compression]] · [[Write Barrier|Write_Barrier]]
 - Adjacent: [[Generational_Hypothesis]] · [[Snapshots]] · [[Multi-threaded Architecture]]
diff --git a/10_Wiki/Topics/Architecture/Polymorphism (다형성).md b/10_Wiki/Topics/Architecture/Polymorphism (다형성).md
index 12500933..d1eb738e 100644
--- a/10_Wiki/Topics/Architecture/Polymorphism (다형성).md	
+++ b/10_Wiki/Topics/Architecture/Polymorphism (다형성).md	
@@ -137,7 +137,7 @@ instance Eq String where x == y = ...
 ## 🧪 검증 / 중복
 - Verified (Cardelli & Wegner 1985, Pierce "Types and Programming Languages" 2002).
 - 신뢰도 A.
-- 중복: [[Polymorphism (다형성)|Polymorphism-in-Engine-Architecture]] redirects here.
+- 중복: [[Polymorphism (다형성)|Polymorphism-in-Engine-Architecture]] redirects here.
 
 ## 🕓 Changelog
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/Architecture/Problem Solving Skills.md b/10_Wiki/Topics/Architecture/Problem Solving Skills.md
index 0b661ea6..c1f95b25 100644
--- a/10_Wiki/Topics/Architecture/Problem Solving Skills.md	
+++ b/10_Wiki/Topics/Architecture/Problem Solving Skills.md	
@@ -113,7 +113,7 @@ trace_state("before-loop", i=0, total=len(data), seen=set())
 - 부모: [[Debugging]]
 - 변형: [[Polya-Method]] · [[Bisect]]
 - 응용: [[Postmortem]]
-- Adjacent: [[Scientific-Method]]
+- Adjacent: [[Scientific Method]]
 
 ## 🤖 LLM 활용
 **언제**: 매 ill-defined task decomposition, 매 stuck-state escape, 매 LLM prompt 디버깅.
diff --git a/10_Wiki/Topics/Architecture/Publish-Subscribe Model.md b/10_Wiki/Topics/Architecture/Publish-Subscribe Model.md
index 780b0773..e3d4d5ba 100644
--- a/10_Wiki/Topics/Architecture/Publish-Subscribe Model.md	
+++ b/10_Wiki/Topics/Architecture/Publish-Subscribe Model.md	
@@ -155,7 +155,7 @@ channels:
 **기본값**: 매 production EDA — Kafka. 매 simple/ephemeral — NATS.
 
 ## 🔗 Graph
-- 부모: [[Event Driven Architecture]]
+- 부모: [[Event-Driven Architecture]]
 - 변형: [[Observer Pattern]] · [[Event Bus]]
 - 응용: [[Event Sourcing]] · [[CQRS]] · [[CDC]]
 - Adjacent: [[Kafka]] · [[NATS]] · [[Redis]] · [[MQTT]]
diff --git a/10_Wiki/Topics/Architecture/Real-time-Data-Streaming.md b/10_Wiki/Topics/Architecture/Real-time-Data-Streaming.md
index 1048e3ab..5d9da157 100644
--- a/10_Wiki/Topics/Architecture/Real-time-Data-Streaming.md
+++ b/10_Wiki/Topics/Architecture/Real-time-Data-Streaming.md
@@ -156,7 +156,7 @@ plugin.name: pgoutput
 **기본값**: 매 2026 매 SQL-on-streams (Materialize/RisingWave) 매 default — DX 압도적.
 
 ## 🔗 Graph
-- 부모: [[Data Engineering]] · [[Event Driven Architecture]]
+- 부모: [[Data Engineering]] · [[Event-Driven Architecture]]
 - 변형: [[Stream-Processing-Architectures|Stream Processing]] · [[CEP]]
 - 응용: [[CDC]]
 - Adjacent: [[Kafka]] · [[Materialize]]
diff --git a/10_Wiki/Topics/Architecture/Render_Props.md b/10_Wiki/Topics/Architecture/Render_Props.md
index 1a842d72..8e1e7842 100644
--- a/10_Wiki/Topics/Architecture/Render_Props.md
+++ b/10_Wiki/Topics/Architecture/Render_Props.md
@@ -178,7 +178,7 @@ function MyView() {
 **기본값**: 매 hook 우선, 매 render slot 이 진짜 필요할 때만 render props.
 
 ## 🔗 Graph
-- 부모: [[React Patterns]] · [[Component Composition]]
+- 부모: [[React Patterns]] · [[Component Composition (React)]]
 - 변형: [[Custom Hooks]] · [[Component-Composition|Compound Components]]
 - 응용: [[Headless UI]] · [[react-hook-form]]
 - Adjacent: [[Inversion of Control]] · [[Slot Pattern]]
diff --git a/10_Wiki/Topics/Architecture/Rule of Three (3의 법칙).md b/10_Wiki/Topics/Architecture/Rule of Three (3의 법칙).md
index eb99af8f..51a6dfb7 100644
--- a/10_Wiki/Topics/Architecture/Rule of Three (3의 법칙).md	
+++ b/10_Wiki/Topics/Architecture/Rule of Three (3의 법칙).md	
@@ -25,7 +25,7 @@ github_commit: pending
 
 ## 🔗 Graph
 - 부모: [[3의 법칙 (Rule of Three)]] (canonical)
-- 인접: [[Refactoring_Best_Practices]] · [[DRY Principle]] · [[Code Smell]]
+- 인접: [[Refactoring_Best_Practices]] · [[DRY Principle (Don't Repeat Yourself)]] · [[Code Smell]]
 
 ## 🕓 변경 이력
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/Architecture/SPA_라우트_전환_성능_최적화.md b/10_Wiki/Topics/Architecture/SPA_라우트_전환_성능_최적화.md
index f6b28e2d..999d1a9e 100644
--- a/10_Wiki/Topics/Architecture/SPA_라우트_전환_성능_최적화.md
+++ b/10_Wiki/Topics/Architecture/SPA_라우트_전환_성능_최적화.md
@@ -155,7 +155,7 @@ pnpm dlx @rsdoctor/cli analyze
 - 부모: [[SPA]] · [[Web Performance]]
 - 변형: [[Islands Architecture]]
 - 응용: [[TanStack Router]]
-- Adjacent: [[Core Web Vitals Optimization (INP, LCP 개선)|Core Web Vitals]] · [[INP]] · [[View Transitions]] · [[Code Splitting]]
+- Adjacent: [[Core Web Vitals Optimization (INP, LCP, CLS)|Core Web Vitals]] · [[INP]] · [[View Transitions]] · [[Code Splitting]]
 
 ## 🤖 LLM 활용
 **언제**: 매 route 전환 매 느릴 때, 매 perf budget 책정, 매 prefetch 전략 설계.
diff --git a/10_Wiki/Topics/Architecture/Scalability.md b/10_Wiki/Topics/Architecture/Scalability.md
index 2c0cd475..8a64b163 100644
--- a/10_Wiki/Topics/Architecture/Scalability.md
+++ b/10_Wiki/Topics/Architecture/Scalability.md
@@ -153,7 +153,7 @@ async function getProduct(id: string) {
 ## 🔗 Graph
 - 부모: [[Distributed Systems]]
 - 응용: [[Microservices]] · [[Serverless_Architecture]] · [[Service Mesh]]
-- Adjacent: [[CAP Theorem]] · [[Sharding]] · [[Load Balancer]]
+- Adjacent: [[CAP Theorem & PACELC]] · [[Sharding]] · [[Load Balancer]]
 
 ## 🤖 LLM 활용
 **언제**: 매 capacity 설계, 매 bottleneck 진단, 매 cost-perf trade-off.
diff --git a/10_Wiki/Topics/Architecture/Simple event processing.md b/10_Wiki/Topics/Architecture/Simple event processing.md
index 140ac678..a6751abf 100644
--- a/10_Wiki/Topics/Architecture/Simple event processing.md	
+++ b/10_Wiki/Topics/Architecture/Simple event processing.md	
@@ -147,8 +147,8 @@ app.post('/webhooks/payment', async (req, res) => {
 
 ## 🔗 Graph
 - 부모: [[Event-Driven-Architecture]]
-- 변형: [[Event-Stream-Processing]]
-- 응용: [[Webhooks]] · [[Pub-Sub]] · [[Event-Sourcing]]
+- 변형: [[Event Stream Processing]]
+- 응용: [[Webhooks]] · [[Pub-Sub]] · [[Event Sourcing]]
 - Adjacent: [[CQRS]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Architecture/Single_Source_of_Truth.md b/10_Wiki/Topics/Architecture/Single_Source_of_Truth.md
index 1969387b..d763d683 100644
--- a/10_Wiki/Topics/Architecture/Single_Source_of_Truth.md
+++ b/10_Wiki/Topics/Architecture/Single_Source_of_Truth.md
@@ -134,9 +134,9 @@ const { data: user } = useQuery({
 
 ## 🔗 Graph
 - 부모: [[Data-Modeling]]
-- 변형: [[Event-Sourcing]] · [[CQRS]]
+- 변형: [[Event Sourcing]] · [[CQRS]]
 - 응용: [[Redux-Toolkit]] · [[Terraform]] · [[CDC]] · [[GitOps]]
-- Adjacent: [[Eventual-Consistency]]
+- Adjacent: [[Eventual Consistency]]
 
 ## 🤖 LLM 활용
 **언제**: design-time data flow review, drift audit, cache invalidation strategy.
diff --git a/10_Wiki/Topics/Architecture/Snapshots.md b/10_Wiki/Topics/Architecture/Snapshots.md
index 35f569c3..92dce25f 100644
--- a/10_Wiki/Topics/Architecture/Snapshots.md
+++ b/10_Wiki/Topics/Architecture/Snapshots.md
@@ -132,10 +132,10 @@ v8.writeHeapSnapshot('/tmp/after.heapsnapshot');
 **기본값**: heap snapshot for leaks, ZFS/EBS for storage, PITR for DB, CRIU for container.
 
 ## 🔗 Graph
-- 부모: [[State-Management]]
-- 변형: [[Heap-Snapshot]] · [[V8-Snapshot]]
+- 부모: [[State Management]]
+- 변형: [[Heap Snapshot]] · [[V8-Snapshot]]
 - 응용: [[Disaster-Recovery]]
-- Adjacent: [[Event-Sourcing]]
+- Adjacent: [[Event Sourcing]]
 
 ## 🤖 LLM 활용
 **언제**: cold-start optim, leak diag, DR planning, time-travel debug strategy.
diff --git a/10_Wiki/Topics/Architecture/Social_Engineering.md b/10_Wiki/Topics/Architecture/Social_Engineering.md
index 0654c3b0..c4c44879 100644
--- a/10_Wiki/Topics/Architecture/Social_Engineering.md
+++ b/10_Wiki/Topics/Architecture/Social_Engineering.md
@@ -125,9 +125,9 @@ result = detector(audio_path)
 **기본값**: FIDO2 passkey + DMARC reject + quarterly training + out-of-band approval for $X+ transfers.
 
 ## 🔗 Graph
-- 부모: [[Threat-Modeling]] · [[OWASP-Top-10]]
+- 부모: [[Threat-Modeling]] · [[OWASP Top 10]]
 - 변형: [[Phishing]]
-- 응용: [[FIDO2]] · [[DMARC]] · [[Zero-Trust-Architecture]]
+- 응용: [[FIDO2]] · [[DMARC]] · [[Zero Trust Architecture]]
 
 ## 🤖 LLM 활용
 **언제**: threat-model human layer, security training content, BEC playbook.
diff --git a/10_Wiki/Topics/Architecture/Software Architecture Documentation.md b/10_Wiki/Topics/Architecture/Software Architecture Documentation.md
index 3b8a9682..c799171b 100644
--- a/10_Wiki/Topics/Architecture/Software Architecture Documentation.md	
+++ b/10_Wiki/Topics/Architecture/Software Architecture Documentation.md	
@@ -175,9 +175,9 @@ channels:
 
 ## 🔗 Graph
 - 부모: [[Software-Architecture]]
-- 변형: [[arc42]] · [[C4-Model]]
-- 응용: [[ADR]] · [[Structurizr]] · [[Mermaid-Diagrams]]
-- Adjacent: [[Architecture Decision Record]] · [[Software-Architecture-Erosion]]
+- 변형: [[arc42]] · [[C4 Model (Architecture Documentation)]]
+- 응용: [[ADR]] · [[Structurizr]] · [[Mermaid Diagrams]]
+- Adjacent: [[Architecture Decision Record]] · [[Software Architecture Erosion]]
 
 ## 🤖 LLM 활용
 **언제**: doc gap analysis, ADR drafting, view-completeness review.
diff --git a/10_Wiki/Topics/Architecture/Software_Architecture_Recovery.md b/10_Wiki/Topics/Architecture/Software_Architecture_Recovery.md
index 727066f8..a786c64c 100644
--- a/10_Wiki/Topics/Architecture/Software_Architecture_Recovery.md
+++ b/10_Wiki/Topics/Architecture/Software_Architecture_Recovery.md
@@ -137,7 +137,7 @@ workspace {
 ## 🔗 Graph
 - 부모: [[Software Architecture]]
 - 응용: [[Legacy Modernization]]
-- Adjacent: [[C4 Model]] · [[Dependency Analysis]] · [[Static Analysis]]
+- Adjacent: [[C4 Model (Architecture Documentation)]] · [[Dependency Analysis]] · [[Static Analysis]]
 
 ## 🤖 LLM 활용
 **언제**: 매 undocumented codebase 의 onboarding, 매 modernization plan, 매 dependency cycle 의 detect.
diff --git a/10_Wiki/Topics/Architecture/Space-Based_Architecture.md b/10_Wiki/Topics/Architecture/Space-Based_Architecture.md
index 7edb542c..bc3efadf 100644
--- a/10_Wiki/Topics/Architecture/Space-Based_Architecture.md
+++ b/10_Wiki/Topics/Architecture/Space-Based_Architecture.md
@@ -114,7 +114,7 @@ orders.addEntryListener((EntryAddedListener<String, Order>) e ->
 - 부모: [[Software Architecture]] · [[Distributed Systems]]
 - 변형: [[Microservices]] · [[Event-Driven Architecture]]
 - 응용: [[In-Memory Data Grid]]
-- Adjacent: [[CAP Theorem]] · [[Eventual Consistency]] · [[Apache Ignite]]
+- Adjacent: [[CAP Theorem & PACELC]] · [[Eventual Consistency]] · [[Apache Ignite]]
 
 ## 🤖 LLM 활용
 **언제**: extreme write throughput, DB bottleneck, latency budget < 10ms.
diff --git a/10_Wiki/Topics/Architecture/Static_and_Dynamic_Analysis.md b/10_Wiki/Topics/Architecture/Static_and_Dynamic_Analysis.md
index 06f2cf66..b2781aff 100644
--- a/10_Wiki/Topics/Architecture/Static_and_Dynamic_Analysis.md
+++ b/10_Wiki/Topics/Architecture/Static_and_Dynamic_Analysis.md
@@ -138,9 +138,9 @@ grype sbom:sbom.json --fail-on high
 **기본값**: 매 Semgrep (PR) + ZAP baseline (nightly) + Grype (deps).
 
 ## 🔗 Graph
-- 부모: [[Application Security]] · [[CI_CD 파이프라인 및 IDE 통합 보안|DevSecOps]]
-- 변형: [[SAST]] · [[보안_및_시스템_신뢰성_표준|DAST]] · [[IAST]] · [[SCA_Fundamentals|SCA]]
-- Adjacent: [[Fuzzing]] · [[Threat Modeling]] · [[보안_및_시스템_신뢰성_표준|OWASP Top 10]]
+- 부모: [[Application Security]] · [[CI/CD Pipeline & IDE Security Integration|DevSecOps]]
+- 변형: [[SAST]] · [[보안 및 시스템 신뢰성 표준|DAST]] · [[IAST]] · [[SCA_Fundamentals|SCA]]
+- Adjacent: [[Fuzzing]] · [[Threat Modeling]] · [[보안 및 시스템 신뢰성 표준|OWASP Top 10]]
 
 ## 🤖 LLM 활용
 **언제**: code review automation, custom rule generation, false-positive triage.
diff --git a/10_Wiki/Topics/Architecture/Stochastic-Gradient-Descent.md b/10_Wiki/Topics/Architecture/Stochastic-Gradient-Descent.md
index 4ac46044..b80e8a64 100644
--- a/10_Wiki/Topics/Architecture/Stochastic-Gradient-Descent.md
+++ b/10_Wiki/Topics/Architecture/Stochastic-Gradient-Descent.md
@@ -150,7 +150,7 @@ optimizer = Lion(model.parameters(), lr=1e-4, weight_decay=0.01)
 - 부모: [[Gradient Descent]] · [[Optimization]]
 - 변형: [[Adam]] · [[AdamW]]
 - 응용: [[Deep Learning]]
-- Adjacent: [[Gradient Clipping]] · [[데이터_사이언스_및_ML_엔지니어링|Backpropagation]]
+- Adjacent: [[Gradient Clipping]] · [[데이터 사이언스 및 ML 엔지니어링|Backpropagation]]
 
 ## 🤖 LLM 활용
 **언제**: 매 model training의 default optimizer choice; debug convergence (loss spike, plateau).
diff --git a/10_Wiki/Topics/Architecture/Styled_Components.md b/10_Wiki/Topics/Architecture/Styled_Components.md
index b9df3fab..5eddd810 100644
--- a/10_Wiki/Topics/Architecture/Styled_Components.md
+++ b/10_Wiki/Topics/Architecture/Styled_Components.md
@@ -157,9 +157,9 @@ export default function Root({ children }) {
 
 ## 🔗 Graph
 - 부모: [[CSS_Architecture_and_Styling|CSS-in-JS]] · [[React]]
-- 변형: [[Vanilla Extract]]
+- 변형: [[vanilla-extract]]
 - 응용: [[Design System]] · [[Theme Switching]]
-- Adjacent: [[CSS_Architecture_and_Styling|Tailwind CSS]] · [[CSS Modules]] · [[React Server Components]]
+- Adjacent: [[CSS_Architecture_and_Styling|Tailwind CSS]] · [[CSS Modules]] · [[React Server Components — 경계 의식]]
 
 ## 🤖 LLM 활용
 **언제**: dynamic prop-based styles 의 heavy, theme switching 의 first-class, existing CSS-in-JS app.
diff --git a/10_Wiki/Topics/Architecture/Technical-Architecture.md b/10_Wiki/Topics/Architecture/Technical-Architecture.md
index 360ba165..109e3313 100644
--- a/10_Wiki/Topics/Architecture/Technical-Architecture.md
+++ b/10_Wiki/Topics/Architecture/Technical-Architecture.md
@@ -170,7 +170,7 @@ measure: p95 latency < 500ms, error rate < 0.1%
 ## 🔗 Graph
 - 부모: [[Software_Architecture]] · [[System Design]]
 - 변형: [[Microservices]] · [[Hexagonal Architecture]] · [[Event-Driven Architecture]]
-- 응용: [[C4 Model]] · [[Architecture Decision Record]]
+- 응용: [[C4 Model (Architecture Documentation)]] · [[Architecture Decision Record]]
 - Adjacent: [[Domain-Driven Design]] · [[Testability_Architecture]] · [[Technical_Debt]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Architecture/Thought-Architecture.md b/10_Wiki/Topics/Architecture/Thought-Architecture.md
index 1e019e3c..0b16d606 100644
--- a/10_Wiki/Topics/Architecture/Thought-Architecture.md
+++ b/10_Wiki/Topics/Architecture/Thought-Architecture.md
@@ -146,10 +146,10 @@ L4 Code:       Repository = class with save/find methods
 **기본값**: 매 concept-to-module mapping + ADR 의 light-weight 사용.
 
 ## 🔗 Graph
-- 부모: [[Software_Architecture]] · [[Design_Thinking]]
+- 부모: [[Software_Architecture]] · [[Design Thinking]]
 - 변형: [[Domain_Driven_Design]] · [[Hexagonal_Architecture]] · [[C4_Model]]
 - 응용: [[ADR]] · [[Ubiquitous_Language]]
-- Adjacent: [[Mental_Model]] · [[Conceptual_Integrity]]
+- Adjacent: [[Mental_Model]] · [[Conceptual Integrity]]
 
 ## 🤖 LLM 활용
 **언제**: 매 ADR draft, 매 concept extraction, 매 module boundary 의 review.
diff --git a/10_Wiki/Topics/Architecture/Threejs.md b/10_Wiki/Topics/Architecture/Threejs.md
index 32483c16..4cb9c650 100644
--- a/10_Wiki/Topics/Architecture/Threejs.md
+++ b/10_Wiki/Topics/Architecture/Threejs.md
@@ -210,7 +210,7 @@ document.body.appendChild(VRButton.createButton(renderer));
 
 ## 🔗 Graph
 - 부모: [[3D_Web]] · [[WebGL]]
-- 변형: [[Babylon_js]]
+- 변형: [[Babylonjs]]
 - 응용: [[React_Three_Fiber]] · [[drei]] · [[WebXR]]
 - Adjacent: [[Shader]] · [[WebGPU]]
 
diff --git a/10_Wiki/Topics/Architecture/Type_Casting.md b/10_Wiki/Topics/Architecture/Type_Casting.md
index a117f62c..b4cbe177 100644
--- a/10_Wiki/Topics/Architecture/Type_Casting.md
+++ b/10_Wiki/Topics/Architecture/Type_Casting.md
@@ -174,7 +174,7 @@ function area(shape: Shape): number {
 
 ## 🔗 Graph
 - 부모: [[TypeScript]]
-- 변형: [[Type_Assertion]] · [[Type_Guard]] · [[Branded_Types]]
+- 변형: [[Type_Assertion]] · [[Type_Guard]] · [[Branded Types]]
 - 응용: [[Zod]]
 - Adjacent: [[Discriminated_Union]]
 
diff --git a/10_Wiki/Topics/Architecture/Uber Base Web.md b/10_Wiki/Topics/Architecture/Uber Base Web.md
index f6b9e605..cab29812 100644
--- a/10_Wiki/Topics/Architecture/Uber Base Web.md	
+++ b/10_Wiki/Topics/Architecture/Uber Base Web.md	
@@ -185,9 +185,9 @@ Theme              →  CSS variables / Tailwind tokens
 
 ## 🔗 Graph
 - 부모: [[Design_System]]
-- 변형: [[shadcn_ui]]
+- 변형: [[shadcn/ui]]
 - 응용: [[Styletron]]
-- Adjacent: [[Radix_UI]] · [[Tailwind_CSS]]
+- Adjacent: [[Radix_UI]] · [[Tailwind CSS]]
 
 ## 🤖 LLM 활용
 **언제**: 매 Overrides API debug, 매 theme migration, 매 Base Web → modern stack 변환.
diff --git a/10_Wiki/Topics/Architecture/Web-Rendering-Strategies-CSR-vs-SSR.md b/10_Wiki/Topics/Architecture/Web-Rendering-Strategies-CSR-vs-SSR.md
index 2ff23e97..9aa336b4 100644
--- a/10_Wiki/Topics/Architecture/Web-Rendering-Strategies-CSR-vs-SSR.md
+++ b/10_Wiki/Topics/Architecture/Web-Rendering-Strategies-CSR-vs-SSR.md
@@ -159,7 +159,7 @@ export async function POST(req: Request) {
 - 부모: [[Large_Frontend_Projects|Frontend Architecture]] · [[Web Performance]]
 - 변형: [[CSR]] · [[SSR]] · [[SSG]] · [[ISR]] · [[RSC]]
 - 응용: [[Astro]] · [[SvelteKit]] · [[Remix]]
-- Adjacent: [[Streaming SSR]] · [[Edge Runtime]] · [[Hydration]] · [[Core Web Vitals Optimization (INP, LCP 개선)|Core Web Vitals]] · [[Islands Architecture]]
+- Adjacent: [[Streaming SSR]] · [[Edge Runtime]] · [[Hydration]] · [[Core Web Vitals Optimization (INP, LCP, CLS)|Core Web Vitals]] · [[Islands Architecture]]
 
 ## 🤖 LLM 활용
 **언제**: Rendering strategy 결정, Next.js / Nuxt / Astro setup, Core Web Vitals tuning.
diff --git a/10_Wiki/Topics/Architecture/WebGL.md b/10_Wiki/Topics/Architecture/WebGL.md
index e720062f..97ee4058 100644
--- a/10_Wiki/Topics/Architecture/WebGL.md
+++ b/10_Wiki/Topics/Architecture/WebGL.md
@@ -164,8 +164,8 @@ function resize() {
 
 ## 🔗 Graph
 - 부모: [[Graphics_Pipeline]]
-- 변형: [[WebGPU]] · [[OpenGL_ES]]
-- 응용: [[Three.js]] · [[Babylon.js]]
+- 변형: [[WebGPU]] · [[OpenGL ES]]
+- 응용: [[Three.js]] · [[Babylonjs]]
 - Adjacent: [[GLSL]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Architecture/WebGPU.md b/10_Wiki/Topics/Architecture/WebGPU.md
index f5c1a35f..f2f298d3 100644
--- a/10_Wiki/Topics/Architecture/WebGPU.md
+++ b/10_Wiki/Topics/Architecture/WebGPU.md
@@ -171,7 +171,7 @@ device.lost.then((info) => {
 
 ## 🔗 Graph
 - 변형: [[WebGL]] · [[WebGL 20|WebGL2]] · [[Vulkan]] · [[Metal]]
-- 응용: [[Three.js WebGPU]] · [[Babylon.js]]
+- 응용: [[Three.js WebGPU]] · [[Babylonjs]]
 - Adjacent: [[WGSL]] · [[GPGPU]] · [[Compute Shader]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Architecture/gRPC_and_Protocol_Buffers.md b/10_Wiki/Topics/Architecture/gRPC_and_Protocol_Buffers.md
index dd16912f..16560069 100644
--- a/10_Wiki/Topics/Architecture/gRPC_and_Protocol_Buffers.md
+++ b/10_Wiki/Topics/Architecture/gRPC_and_Protocol_Buffers.md
@@ -190,7 +190,7 @@ message Product {
 
 ## 🔗 Graph
 - 변형: [[Connect_RPC]]
-- 응용: [[Service_Mesh]] · [[Microservices]] · [[Envoy]]
+- 응용: [[Service Mesh]] · [[Microservices]] · [[Envoy]]
 - Adjacent: [[Buf]] · [[OpenAPI]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Architecture/가상현실(VR).md b/10_Wiki/Topics/Architecture/가상현실(VR).md
index 1664d499..5de31ab0 100644
--- a/10_Wiki/Topics/Architecture/가상현실(VR).md
+++ b/10_Wiki/Topics/Architecture/가상현실(VR).md
@@ -119,8 +119,8 @@ session.requestAnimationFrame(onXRFrame);
 **기본값**: 매 Unity XR + OpenXR 의 cross-vendor.
 
 ## 🔗 Graph
-- 부모: [[Computer-Graphics]] · [[Human-Computer-Interaction]]
-- 변형: [[Mixed-Reality]] · [[Spatial-Computing]]
+- 부모: [[Computer-Graphics]] · [[Human Computer Interaction]]
+- 변형: [[Mixed-Reality]] · [[Spatial Computing]]
 - Adjacent: [[깊이_지각(Depth_perception)]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Architecture/마이크로서비스 아키텍처의 의존성 관리.md b/10_Wiki/Topics/Architecture/마이크로서비스 아키텍처의 의존성 관리.md
index db9293d8..24a186ab 100644
--- a/10_Wiki/Topics/Architecture/마이크로서비스 아키텍처의 의존성 관리.md	
+++ b/10_Wiki/Topics/Architecture/마이크로서비스 아키텍처의 의존성 관리.md	
@@ -138,8 +138,8 @@ grype sbom:sbom.json --fail-on high
 **기본값**: 매 async event-driven + 매 contract testing + 매 service mesh resilience.
 
 ## 🔗 Graph
-- 부모: [[Microservices]] · [[Distributed_Systems]]
-- 변형: [[Service_Mesh]] · [[Event_Driven_Architecture]]
+- 부모: [[Microservices]] · [[Distributed Systems]]
+- 변형: [[Service Mesh]] · [[Event-Driven Architecture]]
 - 응용: [[Circuit_Breaker]] · [[Contract_Testing]]
 - Adjacent: [[API_Versioning]] · [[Observability]]
 
diff --git a/10_Wiki/Topics/Architecture/매몰_비용_오류_(Sunk_Cost_Fallacy).md b/10_Wiki/Topics/Architecture/매몰_비용_오류_(Sunk_Cost_Fallacy).md
index ecd6e8ec..1aac512f 100644
--- a/10_Wiki/Topics/Architecture/매몰_비용_오류_(Sunk_Cost_Fallacy).md
+++ b/10_Wiki/Topics/Architecture/매몰_비용_오류_(Sunk_Cost_Fallacy).md
@@ -111,7 +111,7 @@ class ProjectStopLoss:
 **기본값**: Forward-looking analysis + pre-commit kill criteria.
 
 ## 🔗 Graph
-- 부모: [[Cognitive_Bias]] · [[Decision_Making]]
+- 부모: [[Cognitive Bias]] · [[Decision_Making]]
 - 변형: [[Concorde_Fallacy]]
 - Adjacent: [[Loss_Aversion]]
 
diff --git a/10_Wiki/Topics/Architecture/배수구(Sinks).md b/10_Wiki/Topics/Architecture/배수구(Sinks).md
index 6d3995b9..a1456a8e 100644
--- a/10_Wiki/Topics/Architecture/배수구(Sinks).md
+++ b/10_Wiki/Topics/Architecture/배수구(Sinks).md
@@ -153,8 +153,8 @@ data = json.loads(request.body)
 
 ## 🔗 Graph
 - 부모: [[Application_Security]]
-- 변형: [[SAST]] · [[보안_및_시스템_신뢰성_표준|DAST]] · [[IAST]]
-- 응용: [[OWASP_Top_10]]
+- 변형: [[SAST]] · [[보안 및 시스템 신뢰성 표준|DAST]] · [[IAST]]
+- 응용: [[OWASP Top 10]]
 - Adjacent: [[Fuzzing]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Architecture/부분_유료화(Free-to-Play).md b/10_Wiki/Topics/Architecture/부분_유료화(Free-to-Play).md
index ef9be0da..8d2d51c6 100644
--- a/10_Wiki/Topics/Architecture/부분_유료화(Free-to-Play).md
+++ b/10_Wiki/Topics/Architecture/부분_유료화(Free-to-Play).md
@@ -156,7 +156,7 @@ events:
 ## 🔗 Graph
 - 부모: [[Game_Monetization]]
 - 변형: [[Freemium]]
-- 응용: [[Gacha]] · [[Loot_Box]] · [[Live_Ops]]
+- 응용: [[Gacha]] · [[Loot_Box]] · [[LiveOps]]
 - Adjacent: [[Game_Economy]] · [[Player_Retention]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Architecture/불변성(Immutability).md b/10_Wiki/Topics/Architecture/불변성(Immutability).md
index 953dbc74..eb991fa3 100644
--- a/10_Wiki/Topics/Architecture/불변성(Immutability).md
+++ b/10_Wiki/Topics/Architecture/불변성(Immutability).md
@@ -132,7 +132,7 @@ setTodos(prev => prev.filter(t => t.id !== id));
 ## 🔗 Graph
 - 부모: [[Functional_Programming]]
 - 변형: [[Persistent_Data_Structures]]
-- 응용: [[Event Sourcing Pattern|Event_Sourcing]] · [[프론트엔드_및_UIUX_표준|Redux]]
+- 응용: [[Event Sourcing Pattern|Event_Sourcing]] · [[프론트엔드 및 UIUX 표준|Redux]]
 - Adjacent: [[Referential_Transparency]] · [[Concurrency]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Architecture/상태 머신 (State Machine) 모델링 및 Redux 액션_리듀서 설계.md b/10_Wiki/Topics/Architecture/상태 머신 (State Machine) 모델링 및 Redux 액션_리듀서 설계.md
index 652eb070..62b49122 100644
--- a/10_Wiki/Topics/Architecture/상태 머신 (State Machine) 모델링 및 Redux 액션_리듀서 설계.md	
+++ b/10_Wiki/Topics/Architecture/상태 머신 (State Machine) 모델링 및 Redux 액션_리듀서 설계.md	
@@ -180,7 +180,7 @@ test.each([
 **기본값**: RTK + discriminated union state. 복잡 시 XState 5.
 
 ## 🔗 Graph
-- 부모: [[프론트엔드_및_UIUX_표준|Redux]]
+- 부모: [[프론트엔드 및 UIUX 표준|Redux]]
 - 변형: [[XState]]
 - 응용: [[Data Fetching]]
 - Adjacent: [[Discriminated Union]] · [[Pure Function]] · [[Event Sourcing]]
diff --git a/10_Wiki/Topics/Architecture/소프트웨어 아키텍처 설계.md b/10_Wiki/Topics/Architecture/소프트웨어 아키텍처 설계.md
index 29af576a..81a56cb3 100644
--- a/10_Wiki/Topics/Architecture/소프트웨어 아키텍처 설계.md	
+++ b/10_Wiki/Topics/Architecture/소프트웨어 아키텍처 설계.md	
@@ -138,7 +138,7 @@ class PostgresOrderRepo:
 - 부모: [[아키텍처 패턴 지식]]
 - 변형: [[Hexagonal Architecture]] · [[CQRS]] · [[Event Sourcing]]
 - 응용: [[Microservices]] · [[Cloud_Native|Modular Monolith]]
-- Adjacent: [[Domain-Driven Design]] · [[ADR]] · [[C4 Model]]
+- Adjacent: [[Domain-Driven Design]] · [[ADR]] · [[C4 Model (Architecture Documentation)]]
 
 ## 🤖 LLM 활용
 **언제**: 매 ADR 초안 / 매 trade-off 분석 / 매 quality attribute scenario 생성.
diff --git a/10_Wiki/Topics/Architecture/스택_트레이스(Stack_trace).md b/10_Wiki/Topics/Architecture/스택_트레이스(Stack_trace).md
index 13ce8212..1093a4b7 100644
--- a/10_Wiki/Topics/Architecture/스택_트레이스(Stack_trace).md
+++ b/10_Wiki/Topics/Architecture/스택_트레이스(Stack_trace).md
@@ -138,7 +138,7 @@ Recent commits:
 
 ## 🔗 Graph
 - 부모: [[Debugging]] · [[Observability]]
-- 변형: [[Distributed_Tracing]]
+- 변형: [[Distributed Tracing]]
 - 응용: [[Profiling]]
 - Adjacent: [[Source_Maps]] · [[Logging]]
 
diff --git a/10_Wiki/Topics/Architecture/시스템 아키텍처 시각화 (System Architecture Visualization).md b/10_Wiki/Topics/Architecture/시스템 아키텍처 시각화 (System Architecture Visualization).md
index 64cc86e4..9e82aa53 100644
--- a/10_Wiki/Topics/Architecture/시스템 아키텍처 시각화 (System Architecture Visualization).md	
+++ b/10_Wiki/Topics/Architecture/시스템 아키텍처 시각화 (System Architecture Visualization).md	
@@ -140,8 +140,8 @@ claude diagram --level=container --format=structurizr ./src > workspace.dsl
 
 ## 🔗 Graph
 - 부모: [[소프트웨어 아키텍처 설계]]
-- 변형: [[C4 Model]]
-- 응용: [[아키텍처 다이어그램 Architecture Diagram]] · [[ADR]]
+- 변형: [[C4 Model (Architecture Documentation)]]
+- 응용: [[아키텍처 다이어그램 (Architecture Diagram)]] · [[ADR]]
 - Adjacent: [[Mermaid]] · [[D2]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Architecture/시프트_레프트(Shift-Left).md b/10_Wiki/Topics/Architecture/시프트_레프트(Shift-Left).md
index b329e0b4..f033470b 100644
--- a/10_Wiki/Topics/Architecture/시프트_레프트(Shift-Left).md
+++ b/10_Wiki/Topics/Architecture/시프트_레프트(Shift-Left).md
@@ -126,7 +126,7 @@ claude review --pre-commit \
 **기본값**: 매 pre-commit (lint + secret) + PR-CI (SAST + SCA + tests).
 
 ## 🔗 Graph
-- 부모: [[CI_CD 파이프라인 및 IDE 통합 보안|DevSecOps]]
+- 부모: [[CI/CD Pipeline & IDE Security Integration|DevSecOps]]
 - 응용: [[SAST]] · [[SCA_Fundamentals|SCA]]
 - Adjacent: [[TDD]] · [[Supply Chain Security]]
 
diff --git a/10_Wiki/Topics/Architecture/실시간_엔진_(Real-Time_Engine).md b/10_Wiki/Topics/Architecture/실시간_엔진_(Real-Time_Engine).md
index 41420229..799edc03 100644
--- a/10_Wiki/Topics/Architecture/실시간_엔진_(Real-Time_Engine).md
+++ b/10_Wiki/Topics/Architecture/실시간_엔진_(Real-Time_Engine).md
@@ -155,7 +155,7 @@ class Client {
 
 ## 🔗 Graph
 - 부모: [[Computer Graphics]]
-- 변형: [[실시간 엔진 RTE]] (alias)
+- 변형: [[실시간 엔진 (RTE)]] (alias)
 - 응용: [[Unity]] · [[Bevy]]
 - Adjacent: [[ECS]] · [[Game Loop]] · [[Frustum Culling]]
 
diff --git a/10_Wiki/Topics/Architecture/안구_운동_기능(Oculomotor_functions).md b/10_Wiki/Topics/Architecture/안구_운동_기능(Oculomotor_functions).md
index 365a5dc0..2c3258e6 100644
--- a/10_Wiki/Topics/Architecture/안구_운동_기능(Oculomotor_functions).md
+++ b/10_Wiki/Topics/Architecture/안구_운동_기능(Oculomotor_functions).md
@@ -162,7 +162,7 @@ function onSaccadeStart(cb: () => void) {
 **기본값**: 정확도 1° / 60Hz / dwell 800ms — 일반 UX의 baseline.
 
 ## 🔗 Graph
-- 부모: [[Human-Computer Interaction]]
+- 부모: [[Human Computer Interaction]]
 - 변형: [[Eye Tracking]]
 - 응용: [[Accessibility (A11y)|Accessibility]]
 - Adjacent: [[WebXR]]
diff --git a/10_Wiki/Topics/Architecture/약한_타입_검사(Weak_Type_Detection).md b/10_Wiki/Topics/Architecture/약한_타입_검사(Weak_Type_Detection).md
index cd068e4d..9deb64da 100644
--- a/10_Wiki/Topics/Architecture/약한_타입_검사(Weak_Type_Detection).md
+++ b/10_Wiki/Topics/Architecture/약한_타입_검사(Weak_Type_Detection).md
@@ -115,7 +115,7 @@ type T = typeof opts; // { readonly timeout: 30 }
 - 부모: [[TypeScript]] · [[TypeScript 타입 시스템 (TypeScript Type System)|Type System]]
 - 변형: [[Excess Property Check]] · [[Structural Typing]]
 - 응용: [[Branded Types]]
-- Adjacent: [[선언 파일 dts]]
+- Adjacent: [[선언 파일(dts)]]
 
 ## 🤖 LLM 활용
 **언제**: 매 type error 의 매 explanation / 매 branded type design.
diff --git a/10_Wiki/Topics/Architecture/의존성 규칙 (Dependency Rule).md b/10_Wiki/Topics/Architecture/의존성 규칙 (Dependency Rule).md
index 5ca2e360..bd9c1712 100644
--- a/10_Wiki/Topics/Architecture/의존성 규칙 (Dependency Rule).md	
+++ b/10_Wiki/Topics/Architecture/의존성 규칙 (Dependency Rule).md	
@@ -176,7 +176,7 @@ test('place creates order with summed total', () => {
 
 ## 🔗 Graph
 - 부모: [[Clean Architecture]]
-- 변형: [[Hexagonal Architecture Ports and Adapters]] · [[Onion Architecture]]
+- 변형: [[Hexagonal Architecture (Ports and Adapters)]] · [[Onion Architecture]]
 - 응용: [[Domain-Driven Design]]
 - Adjacent: [[Dependency Inversion Principle]] · [[SOLID Principles]]
 
diff --git a/10_Wiki/Topics/Architecture/인터페이스와_포트-어댑터_Interfaces_and_Ports-Adapters.md b/10_Wiki/Topics/Architecture/인터페이스와_포트-어댑터_Interfaces_and_Ports-Adapters.md
index 5bbd8143..8bf0c569 100644
--- a/10_Wiki/Topics/Architecture/인터페이스와_포트-어댑터_Interfaces_and_Ports-Adapters.md
+++ b/10_Wiki/Topics/Architecture/인터페이스와_포트-어댑터_Interfaces_and_Ports-Adapters.md
@@ -4,7 +4,7 @@ title: 인터페이스와 포트-어댑터 (Interfaces and Ports-Adapters)
 category: 10_Wiki/Topics
 status: duplicate
 canonical_id: wiki-2026-0508-hexagonal-architecture-ports-and-adapters
-duplicate_of: "[[Hexagonal Architecture Ports and Adapters]]"
+duplicate_of: "[[Hexagonal Architecture (Ports and Adapters)]]"
 aliases: []
 source_trust_level: A
 confidence_score: 0.9
@@ -16,7 +16,7 @@ github_commit: pending
 
 # 인터페이스와 포트-어댑터 (Interfaces and Ports-Adapters)
 
-> **이 문서는 [[Hexagonal Architecture Ports and Adapters]] 의 중복본입니다.** Canonical 문서로 redirect.
+> **이 문서는 [[Hexagonal Architecture (Ports and Adapters)]] 의 중복본입니다.** Canonical 문서로 redirect.
 
 ## 핵심 요약
 - Port = 도메인이 외부와 대화하는 추상 interface.
@@ -24,7 +24,7 @@ github_commit: pending
 - 도메인은 port에만 의존, adapter에 의존하지 않음 (Dependency Inversion).
 
 ## 🔗 Graph
-- 부모: [[Hexagonal Architecture Ports and Adapters]] (canonical)
+- 부모: [[Hexagonal Architecture (Ports and Adapters)]] (canonical)
 - 인접: [[Dependency Inversion Principle]] · [[Clean Architecture]]
 
 ## 🕓 변경 이력
diff --git a/10_Wiki/Topics/Architecture/하향식_탐색_Top-Down_Approach.md b/10_Wiki/Topics/Architecture/하향식_탐색_Top-Down_Approach.md
index e740ea3e..c308757a 100644
--- a/10_Wiki/Topics/Architecture/하향식_탐색_Top-Down_Approach.md
+++ b/10_Wiki/Topics/Architecture/하향식_탐색_Top-Down_Approach.md
@@ -129,7 +129,7 @@ def parse_term(tokens):
 
 ## 🔗 Graph
 - 부모: [[아키텍처 패턴 지식]] · [[객체 지향 소프트웨어 아키텍처 설계]]
-- 변형: [[Bottom-Up Approach]]
+- 변형: [[Bottom Up Approach]]
 - 응용: [[DDD]] · [[Hexagonal_Architecture]] · [[Refactoring Techniques (리팩토링 기법)]]
 - Adjacent: [[추상화(Abstraction)]] · [[High-Cohesion-Low-Coupling]]
 
diff --git a/10_Wiki/Topics/Autonomous_Queue_Processing_Engine.md b/10_Wiki/Topics/Autonomous_Queue_Processing_Engine.md
index 73f0724a..ded54db8 100644
--- a/10_Wiki/Topics/Autonomous_Queue_Processing_Engine.md
+++ b/10_Wiki/Topics/Autonomous_Queue_Processing_Engine.md
@@ -98,7 +98,7 @@ async function processQueue() {
 ## 🔗 지식 연결 (Graph)
 
 - **Parent:** [[Software_Architecture_Patterns]]
-- **Related:** [[System_Resilience_and_Fault_Tolerance]], [[Data_Schema]]
+- **Related:** [[System_Resilience_and_Fault_Tolerance]], [[Data Schema]]
 
 ## 🕓 변경 이력 (Changelog)
 
diff --git a/10_Wiki/Topics/Backend/Django_Signals.md b/10_Wiki/Topics/Backend/Django_Signals.md
index 217657b7..5a135e57 100644
--- a/10_Wiki/Topics/Backend/Django_Signals.md
+++ b/10_Wiki/Topics/Backend/Django_Signals.md
@@ -158,7 +158,7 @@ def _silence_profile_signal():
 
 ## 🔗 Graph
 - 부모: [[Observer-Pattern]]
-- 변형: [[Django-Signals]] ·  (blinker)
+- 변형: [[Django Signals]] ·  (blinker)
 
 ## 🤖 LLM 활용
 **언제**: in-process decoupling 이 필요할 때, ORM lifecycle hook (post_save 등) 이 자연스러울 때, 매 third-party app 의 own model 의 alter 못할 때.
diff --git a/10_Wiki/Topics/Backend/E-component (Execution Loop).md b/10_Wiki/Topics/Backend/E-component (Execution Loop).md
index 68d7f24c..d69ff31b 100644
--- a/10_Wiki/Topics/Backend/E-component (Execution Loop).md	
+++ b/10_Wiki/Topics/Backend/E-component (Execution Loop).md	
@@ -125,7 +125,7 @@ while True:
 - 부모: [[Agent-Architecture]]
 - 변형: [[ReAct]]
 - 응용: [[LangGraph]]
-- Adjacent: [[S-component-State-Store]] · [[T-component-Tool-Registry]]
+- Adjacent: [[S-component (State Store)]] · [[T-component (Tool Registry)]]
 
 ## 🤖 LLM 활용
 **언제**: building agent runtime, multi-step tool-use task.
diff --git a/10_Wiki/Topics/Backend/Fastify.md b/10_Wiki/Topics/Backend/Fastify.md
index d67d09ee..5443574f 100644
--- a/10_Wiki/Topics/Backend/Fastify.md
+++ b/10_Wiki/Topics/Backend/Fastify.md
@@ -174,7 +174,7 @@ closeWithGrace({ delay: 10_000 }, async ({ signal, err }) => {
 **기본값**: Fastify v5 + TypeBox + Pino — 매 Node 22 LTS 위.
 
 ## 🔗 Graph
-- 부모: [[Node.js]]
+- 부모: [[Nodejs]]
 - 변형: [[Hono]] · [[NestJS]]
 - 응용: [[Microservices]] · [[API-Gateway]]
 - Adjacent: [[OpenAPI]]
diff --git a/10_Wiki/Topics/Backend/KISS (Keep It Simple, Stupid).md b/10_Wiki/Topics/Backend/KISS (Keep It Simple, Stupid).md
index dda75806..a7649165 100644
--- a/10_Wiki/Topics/Backend/KISS (Keep It Simple, Stupid).md	
+++ b/10_Wiki/Topics/Backend/KISS (Keep It Simple, Stupid).md	
@@ -103,7 +103,7 @@ function paginate(items: Item[]): Page<Item> { /* ... */ }
 ## 🔗 Graph
 - 부모: [[Software-Design-Principles]]
 - 변형: [[YAGNI]]
-- Adjacent: [[Premature-Optimization]] · [[Rule-of-Three]]
+- Adjacent: [[Premature-Optimization]] · [[Rule of Three]]
 
 ## 🤖 LLM 활용
 **언제**: design review, architecture decision, code review (cut complexity).
diff --git a/10_Wiki/Topics/Backend/Preserving-State-in-Procedural-Worlds.md b/10_Wiki/Topics/Backend/Preserving-State-in-Procedural-Worlds.md
index 2b1577ff..ab432ef2 100644
--- a/10_Wiki/Topics/Backend/Preserving-State-in-Procedural-Worlds.md
+++ b/10_Wiki/Topics/Backend/Preserving-State-in-Procedural-Worlds.md
@@ -140,8 +140,8 @@ function setBlock(x: number, y: number, z: number, after: BlockId) {
 
 ## 🔗 Graph
 - 부모: [[Procedural-Generation]]
-- 변형: [[Event-Sourcing]]
-- Adjacent: [[Perlin-Noise]]
+- 변형: [[Event Sourcing]]
+- Adjacent: [[Perlin Noise]]
 
 ## 🤖 LLM 활용
 **언제**: voxel/sandbox game architecture, infinite-world design, save-system design.
diff --git a/10_Wiki/Topics/Backend/Prisons-and-Self-Correction.md b/10_Wiki/Topics/Backend/Prisons-and-Self-Correction.md
index 5ad54bf8..cb3d15f0 100644
--- a/10_Wiki/Topics/Backend/Prisons-and-Self-Correction.md
+++ b/10_Wiki/Topics/Backend/Prisons-and-Self-Correction.md
@@ -105,7 +105,7 @@ Reduced recidivism savings: ~$5/$1 invested
 **기본값**: Education + employment + housing transition + restorative practices.
 
 ## 🔗 Graph
-- 변형: [[Restorative-Justice]]
+- 변형: [[Restorative Justice]]
 
 ## 🤖 LLM 활용
 **언제**: policy analysis, criminology discussion, fairness-aware ML in criminal justice.
diff --git a/10_Wiki/Topics/Backend/Public APIs.md b/10_Wiki/Topics/Backend/Public APIs.md
index 374f1552..e5d97a96 100644
--- a/10_Wiki/Topics/Backend/Public APIs.md	
+++ b/10_Wiki/Topics/Backend/Public APIs.md	
@@ -179,7 +179,7 @@ server.tool('get_order', { id: z.string() }, async ({ id }) => {
 ## 🔗 Graph
 - 부모: [[Backend Architecture]] · [[API Design]]
 - 변형: [[REST]] · [[gRPC]] · [[MCP]]
-- 응용: [[OpenAPI - Swagger]]
+- 응용: [[OpenAPI / Swagger]]
 - Adjacent: [[Webhooks and Notifications]] · [[Rate Limiting]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Backend/동적-정적 코드 분석 (Static-Dynamic Code Analysis).md b/10_Wiki/Topics/Backend/동적-정적 코드 분석 (Static-Dynamic Code Analysis).md
index 9ba69d0d..f7ca0c1a 100644
--- a/10_Wiki/Topics/Backend/동적-정적 코드 분석 (Static-Dynamic Code Analysis).md	
+++ b/10_Wiki/Topics/Backend/동적-정적 코드 분석 (Static-Dynamic Code Analysis).md	
@@ -23,7 +23,7 @@ github_commit: pending
 - 매 DAST (동적) — 매 runtime behavior 분석 (ZAP, Burp).
 
 ## 🔗 Graph
-- Adjacent: [[SAST]] · [[보안_및_시스템_신뢰성_표준|DAST]] · [[Fuzzing]]
+- Adjacent: [[SAST]] · [[보안 및 시스템 신뢰성 표준|DAST]] · [[Fuzzing]]
 
 ## 🕓 변경 이력
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/Comfyui/위키 Getting Started - ComfyUI 2026-05-20.md b/10_Wiki/Topics/Comfyui/위키 Getting Started - ComfyUI 2026-05-20.md
index 55855263..a1332f4d 100644
--- a/10_Wiki/Topics/Comfyui/위키 Getting Started - ComfyUI 2026-05-20.md	
+++ b/10_Wiki/Topics/Comfyui/위키 Getting Started - ComfyUI 2026-05-20.md	
@@ -77,7 +77,7 @@ github_commit: ""
 *   [[Python]] - 백엔드 로직 작성을 위한 핵심 언어입니다.
 *   [[JavaScript]] - 클라이언트 측 확장을 위해 사용되는 언어입니다.
 *   [[torch.Tensor]] - 이미지 데이터 처리를 위한 기본 데이터 구조입니다.
-*   [[comfy-cli]] - 노드 스캐폴딩 및 관리를 위한 도구입니다.
+*   [[Comfy CLI]] - 노드 스캐폴딩 및 관리를 위한 도구입니다.
 
 ## 📝 변경 이력 (Change history)
 - 2026-05-20: Astra /wikify 로 https://docs.comfy.org/custom-nodes/walkthrough 본문에서 초안 생성.
\ No newline at end of file
diff --git a/10_Wiki/Topics/Comfyui/위키 Lifecycle - ComfyUI 2026-05-20.md b/10_Wiki/Topics/Comfyui/위키 Lifecycle - ComfyUI 2026-05-20.md
index e999f55f..cb812026 100644
--- a/10_Wiki/Topics/Comfyui/위키 Lifecycle - ComfyUI 2026-05-20.md	
+++ b/10_Wiki/Topics/Comfyui/위키 Lifecycle - ComfyUI 2026-05-20.md	
@@ -25,7 +25,7 @@ github_commit: ""
 ComfyUI가 시작될 때 `custom_nodes` 디렉토리를 스캔하여 Python 모듈을 로드하고 커스텀 노드를 정의하는 라이프사이클 프로세스.
 
 ## 🧠 핵심 개념 (Core concepts)
-*   **[[custom_nodes]] 로딩**: ComfyUI 시작 시 `custom_nodes` 폴ের더를 스캔하여 Python 모듈을 찾아 로드함.
+*   **[[Custom Nodes]] 로딩**: ComfyUI 시작 시 `custom_nodes` 폴ের더를 스캔하여 Python 모듈을 찾아 로드함.
 *   **[[NODE_CLASS_MAPPINGS]]**: 모듈이 커스텀 노드로 인식되기 위해 반드시 내보내야(export) 하는 딕셔너리 매핑 정보.
 *   **[[__init__.py]] 역할**: 커스텀 노드 모듈의 진입점으로, 실행 시 `NODE_CLASS_MAPPINGS`를 포함하여 노드 정의를 ComfyUI에 가용하게 함.
 *   **[[WEB_DIRECTORY]] 설정**: 클라이언트 측 JavaScript 파일을 제공하기 위해 모듈 내 상대 경로를 지정하는 기능.
@@ -70,7 +70,7 @@ ComfyUI는 시작 시 `custom_nodes` 디렉토리를 스캔하여 Python 모듈
 - **중복 검사 결과:** 신규 생성 (New discovery)
 
 ## 🔗 관련 문서 링크 (Related document links)
-*   [[custom_nodes]] - 커스텀 노드가 로드되는 물리적 경로와 메커니즘 설명.
+*   [[Custom Nodes]] - 커스텀 노드가 로드되는 물리적 경로와 메커니즘 설명.
 *   [[NODE_CLASS_MAPPINGS]] - 노드 클래스를 식별하기 위한 핵심 매핑 구조.
 *   [[WEB_DIRECTORY]] - 클라이언트 사이드 JS 파일 배포를 위한 경로 설정법.
 *   [[__init__.py]] - Python 모듈의 초기화 및 커스텀 노드 로직 실행 지점.
diff --git a/10_Wiki/Topics/Computer_Science_and_Theory/Adaptive-Curation.md b/10_Wiki/Topics/Computer_Science_and_Theory/Adaptive-Curation.md
index 80377214..060bb543 100644
--- a/10_Wiki/Topics/Computer_Science_and_Theory/Adaptive-Curation.md
+++ b/10_Wiki/Topics/Computer_Science_and_Theory/Adaptive-Curation.md
@@ -121,7 +121,7 @@ def adaptive_rag(query, user_profile):
 **기본값**: embedding retrieval + cross-encoder rerank + Thompson exploration.
 
 ## 🔗 Graph
-- 부모: [[Recommender-Systems]] · [[Active-Learning]]
+- 부모: [[Recommender-Systems]] · [[Active Learning]]
 - 변형: [[Collaborative-Filtering]] · [[Multi-Armed-Bandit]]
 - 응용: [[RAG]]
 - Adjacent: [[Relevance-Feedback]] · [[Ranking-Algorithms]]
diff --git a/10_Wiki/Topics/Computer_Science_and_Theory/Additive-Type-Logic.md b/10_Wiki/Topics/Computer_Science_and_Theory/Additive-Type-Logic.md
index cf91f800..8ef79710 100644
--- a/10_Wiki/Topics/Computer_Science_and_Theory/Additive-Type-Logic.md
+++ b/10_Wiki/Topics/Computer_Science_and_Theory/Additive-Type-Logic.md
@@ -138,7 +138,7 @@ const Result = z.discriminatedUnion("tag", [
 **기본값**: discriminated union with explicit tag + exhaustive pattern match.
 
 ## 🔗 Graph
-- 부모: [[Type-Theory]] · [[Algebraic-Data-Types]]
+- 부모: [[Type Theory]] · [[Algebraic-Data-Types]]
 - 응용: [[Error-Handling]] · [[State-Machine]]
 - Adjacent: [[Pattern-Matching]] · [[Curry-Howard]]
 
diff --git a/10_Wiki/Topics/Computer_Science_and_Theory/Alcoholism.md b/10_Wiki/Topics/Computer_Science_and_Theory/Alcoholism.md
index 5c7d9944..41aa34bc 100644
--- a/10_Wiki/Topics/Computer_Science_and_Theory/Alcoholism.md
+++ b/10_Wiki/Topics/Computer_Science_and_Theory/Alcoholism.md
@@ -98,7 +98,7 @@ def stress_proxy(rmssd_ms: float, baseline: float) -> float:
 **기본값**: AUDIT-C → if positive: brief intervention + naltrexone trial + referral.
 
 ## 🔗 Graph
-- 부모: [[Addiction-Neuroscience]]
+- 부모: [[Addiction Neuroscience]]
 - Adjacent: [[Dopamine]] · [[Cognitive-Behavioral-Therapy]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Computer_Science_and_Theory/Autobiography.md b/10_Wiki/Topics/Computer_Science_and_Theory/Autobiography.md
index 2d06d2da..801202c9 100644
--- a/10_Wiki/Topics/Computer_Science_and_Theory/Autobiography.md
+++ b/10_Wiki/Topics/Computer_Science_and_Theory/Autobiography.md
@@ -105,8 +105,8 @@ def coherence(events):
 
 ## 🔗 Graph
 - 변형: [[Memoir]] · [[Autoethnography]]
-- 응용: [[Digital-Twin]]
-- Adjacent: [[Working-Memory]]
+- 응용: [[Digital Twin]]
+- Adjacent: [[Working Memory]]
 
 ## 🤖 LLM 활용
 **언제**: personal assistant memory, retrospective query over journal, coaching reflection prompts.
diff --git a/10_Wiki/Topics/Computer_Science_and_Theory/Autoethnography.md b/10_Wiki/Topics/Computer_Science_and_Theory/Autoethnography.md
index 801c9a65..56220169 100644
--- a/10_Wiki/Topics/Computer_Science_and_Theory/Autoethnography.md
+++ b/10_Wiki/Topics/Computer_Science_and_Theory/Autoethnography.md
@@ -123,7 +123,7 @@ checks = [
 - 부모: [[Ethnography]]
 - 변형: [[Memoir]]
 - 응용: [[AI-Ethics]]
-- Adjacent: [[Autobiography]] · [[Grounded-Theory-Method]]
+- Adjacent: [[Autobiography]] · [[Grounded Theory Method]]
 
 ## 🤖 LLM 활용
 **언제**: studying one's own use of tech / LLM, insider perspective on team or community, theoretical reflection.
diff --git a/10_Wiki/Topics/Computer_Science_and_Theory/Automated-Decision-Making.md b/10_Wiki/Topics/Computer_Science_and_Theory/Automated-Decision-Making.md
index aad09adb..359f3aaf 100644
--- a/10_Wiki/Topics/Computer_Science_and_Theory/Automated-Decision-Making.md
+++ b/10_Wiki/Topics/Computer_Science_and_Theory/Automated-Decision-Making.md
@@ -127,10 +127,10 @@ class ConformityRecord:
 **기본값**: HITL + audit log + bias monitoring + appeal channel.
 
 ## 🔗 Graph
-- 부모: [[Decision-Theory]]
+- 부모: [[Decision Theory]]
 - 변형: [[HITL]]
 - 응용: [[Content-Moderation]]
-- Adjacent: [[Algorithmic-Fairness]]
+- Adjacent: [[Algorithmic Fairness]]
 
 ## 🤖 LLM 활용
 **언제**: drafting decision policy, reviewing audit logs for anomalies, generating explanation text (Art.22), bias test fixture generation.
diff --git a/10_Wiki/Topics/Computer_Science_and_Theory/Automated-Map-Generation.md b/10_Wiki/Topics/Computer_Science_and_Theory/Automated-Map-Generation.md
index 833ef8f2..398fcab7 100644
--- a/10_Wiki/Topics/Computer_Science_and_Theory/Automated-Map-Generation.md
+++ b/10_Wiki/Topics/Computer_Science_and_Theory/Automated-Map-Generation.md
@@ -136,10 +136,10 @@ osm_xml = polygons_to_osm(polygons, tag={"building": "yes"})
 **기본값**: Perlin for terrain, WFC for tile-based, BSP for dungeons.
 
 ## 🔗 Graph
-- 부모: [[Procedural-Content-Generation]] · [[Computational-Geometry]]
-- 변형: [[Cellular-Automata]]
+- 부모: [[Procedural-Content-Generation]] · [[Computational Geometry (Frontend)]]
+- 변형: [[Cellular Automata]]
 - 응용: [[GIS]]
-- Adjacent: [[Perlin-Noise]] · [[Diffusion-Models]] · [[Geographic-Information-Systems]]
+- Adjacent: [[Perlin Noise]] · [[Diffusion-Models]] · [[Geographic-Information-Systems]]
 
 ## 🤖 LLM 활용
 **언제**: parameter tuning suggestions, prompt-to-terrain via diffusion, level metric scoring (playability / aesthetic), debug seed reproduction.
diff --git a/10_Wiki/Topics/Computer_Science_and_Theory/Axiology.md b/10_Wiki/Topics/Computer_Science_and_Theory/Axiology.md
index 5b128162..94e2730d 100644
--- a/10_Wiki/Topics/Computer_Science_and_Theory/Axiology.md
+++ b/10_Wiki/Topics/Computer_Science_and_Theory/Axiology.md
@@ -120,7 +120,7 @@ def is_pareto(point, all_points):
 ## 🔗 Graph
 - 부모: [[Philosophy]]
 - 응용: [[AI_Safety_and_Alignment|AI-Alignment]]
-- Adjacent: [[Aesthetic-Value]] · [[Decision-Theory]] · [[AI_Safety_and_Alignment|Constitutional-AI]]
+- Adjacent: [[Aesthetic-Value]] · [[Decision Theory]] · [[AI_Safety_and_Alignment|Constitutional-AI]]
 
 ## 🤖 LLM 활용
 **언제**: alignment policy drafting, principle articulation, value-laden decision review, ethical critique generation.
diff --git a/10_Wiki/Topics/Computer_Science_and_Theory/Axiomatic-Systems.md b/10_Wiki/Topics/Computer_Science_and_Theory/Axiomatic-Systems.md
index b3e9b63c..8635b19e 100644
--- a/10_Wiki/Topics/Computer_Science_and_Theory/Axiomatic-Systems.md
+++ b/10_Wiki/Topics/Computer_Science_and_Theory/Axiomatic-Systems.md
@@ -133,7 +133,7 @@ Suggest one tactic step. Output only the tactic.""")
 
 ## 🔗 Graph
 - 부모: [[Mathematical-Logic]]
-- 변형: [[Type-Theory]]
+- 변형: [[Type Theory]]
 - 응용: [[Formal-Verification]] · [[Theorem-Proving]]
 - Adjacent: [[Godel-s-Incompleteness-Theorems]] · [[Curry-Howard]] · [[Theoretical-Computer-Science]]
 
diff --git a/10_Wiki/Topics/Computer_Science_and_Theory/Emergence.md b/10_Wiki/Topics/Computer_Science_and_Theory/Emergence.md
index 3c62db2e..ea889e06 100644
--- a/10_Wiki/Topics/Computer_Science_and_Theory/Emergence.md
+++ b/10_Wiki/Topics/Computer_Science_and_Theory/Emergence.md
@@ -131,9 +131,9 @@ def ising_step(spins, beta):
 **기본값**: weak emergence; demand operational definition + measurement.
 
 ## 🔗 Graph
-- 부모: [[Complexity_Theory|Complexity-Theory]] · [[Systems-Theory]]
+- 부모: [[Complexity_Theory|Complexity-Theory]] · [[Systems Theory]]
 - 변형: [[Weak-Emergence]] · [[Strong-Emergence]] · [[Self-Organization]]
-- 응용: [[Multi-agent-System|Multi-Agent-Systems]] · [[Cellular-Automata]] · [[LLM-Scaling]]
+- 응용: [[Multi-agent-System|Multi-Agent-Systems]] · [[Cellular Automata]] · [[LLM-Scaling]]
 - Adjacent: [[Global-Neuronal-Workspace]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Computer_Science_and_Theory/Entropy in Information Theory.md b/10_Wiki/Topics/Computer_Science_and_Theory/Entropy in Information Theory.md
index 0d66774c..3eeb20ac 100644
--- a/10_Wiki/Topics/Computer_Science_and_Theory/Entropy in Information Theory.md	
+++ b/10_Wiki/Topics/Computer_Science_and_Theory/Entropy in Information Theory.md	
@@ -180,8 +180,8 @@ print(differential_entropy(samples_narrow))  # negative
 **기본값**: 매 ML loss 의 cross-entropy. 매 distribution distance 의 KL (asymmetric). 매 symmetric 가 필요하면 JS divergence.
 
 ## 🔗 Graph
-- 부모: [[Information_Theory|Information-Theory]] · [[Probability-Theory]]
-- 응용: [[Cross-Entropy-Loss]] · [[KL-Divergence]] · [[Mutual-Information]] · [[Variational-Inference]]
+- 부모: [[Information_Theory|Information-Theory]] · [[Probability Theory]]
+- 응용: [[Cross-Entropy Loss]] · [[KL-Divergence]] · [[Mutual-Information]] · [[Variational-Inference]]
 
 ## 🤖 LLM 활용
 **언제**: 매 concept explanation, 매 derivation 의 walk-through, 매 ML loss function selection, 매 KL/cross-entropy 의 confused 시 disambiguation.
diff --git a/10_Wiki/Topics/Computer_Science_and_Theory/Ergodic-Theory.md b/10_Wiki/Topics/Computer_Science_and_Theory/Ergodic-Theory.md
index 70ad2ace..8f3f983d 100644
--- a/10_Wiki/Topics/Computer_Science_and_Theory/Ergodic-Theory.md
+++ b/10_Wiki/Topics/Computer_Science_and_Theory/Ergodic-Theory.md
@@ -114,9 +114,9 @@ def expected_log_growth(p, weights, returns):
 **기본값**: assume non-ergodic in finance/biology/social; verify before using ensemble average.
 
 ## 🔗 Graph
-- 부모: [[Probability-Theory]]
+- 부모: [[Probability Theory]]
 - 응용: [[MCMC]] · [[Reinforcement-Learning]]
-- Adjacent: [[Markov-Chains]] · [[Entropy-in-Information-Theory]]
+- Adjacent: [[Markov-Chains]] · [[Entropy in Information Theory]]
 
 ## 🤖 LLM 활용
 **언제**: explain ergodicity intuitions, simulate ensemble vs time, derive Kelly fractions, debug MCMC non-convergence.
diff --git a/10_Wiki/Topics/Computer_Science_and_Theory/Ethnographic-Research.md b/10_Wiki/Topics/Computer_Science_and_Theory/Ethnographic-Research.md
index 5cff596b..bebee1c3 100644
--- a/10_Wiki/Topics/Computer_Science_and_Theory/Ethnographic-Research.md
+++ b/10_Wiki/Topics/Computer_Science_and_Theory/Ethnographic-Research.md
@@ -142,7 +142,7 @@ def redact_pii(s: str) -> str:
 
 ## 🔗 Graph
 - 부모: [[HCI]]
-- 변형: [[Contextual-Inquiry]] · [[Auto-Ethnography]]
+- 변형: [[Contextual-Inquiry]] · [[Autoethnography]]
 - Adjacent: [[Grounded-Theory]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Computer_Science_and_Theory/Hardware-Verification.md b/10_Wiki/Topics/Computer_Science_and_Theory/Hardware-Verification.md
index 30f8e5a1..6bde87d5 100644
--- a/10_Wiki/Topics/Computer_Science_and_Theory/Hardware-Verification.md
+++ b/10_Wiki/Topics/Computer_Science_and_Theory/Hardware-Verification.md
@@ -142,7 +142,7 @@ report cdc -severity error
 **기본값**: UVM for blocks + formal for control + emulation for system.
 
 ## 🔗 Graph
-- 부모: [[Formal-Methods]]
+- 부모: [[Formal Methods]]
 - 변형: [[Formal-Verification]]
 - Adjacent: [[Model-Checking]] · [[Theorem-Proving]]
 
diff --git a/10_Wiki/Topics/Computer_Science_and_Theory/Hebbian-Theory.md b/10_Wiki/Topics/Computer_Science_and_Theory/Hebbian-Theory.md
index c0b134d6..a35e81a7 100644
--- a/10_Wiki/Topics/Computer_Science_and_Theory/Hebbian-Theory.md
+++ b/10_Wiki/Topics/Computer_Science_and_Theory/Hebbian-Theory.md
@@ -213,8 +213,8 @@ print(f"Match: {np.mean(recalled == patterns[0]):.2%}")
 
 ## 🔗 Graph
 - 부모: [[Computational-Neuroscience-RL|Computational-Neuroscience]] · [[Synaptic-Plasticity]]
-- 응용: [[Hopfield-Network]] · [[Associative-Memory]] · [[Predictive-Coding]]
-- Adjacent: [[Free-Energy-Principle]] · [[데이터_사이언스_및_ML_엔지니어링|Backpropagation]]
+- 응용: [[Hopfield Network]] · [[Associative-Memory]] · [[Predictive-Coding]]
+- Adjacent: [[Free-Energy-Principle]] · [[데이터 사이언스 및 ML 엔지니어링|Backpropagation]]
 
 ## 🤖 LLM 활용
 **언제**: 매 conceptual explanation, 매 history of computational neuroscience, 매 simple rule derivation.
diff --git a/10_Wiki/Topics/Computer_Science_and_Theory/Inexact-Science.md b/10_Wiki/Topics/Computer_Science_and_Theory/Inexact-Science.md
index 3d2e1d80..1c3a26fd 100644
--- a/10_Wiki/Topics/Computer_Science_and_Theory/Inexact-Science.md
+++ b/10_Wiki/Topics/Computer_Science_and_Theory/Inexact-Science.md
@@ -117,7 +117,7 @@ q_hat = np.quantile(calib_residuals, 0.95)
 
 ## 🔗 Graph
 - 부모: [[Statistics]] · [[Probability Theory]]
-- 변형: [[Bayesian-Inference]]
+- 변형: [[Bayesian Inference]]
 - 응용: [[Statistical-Power]] · [[Multivariate-Analysis]]
 - Adjacent: [[Epistemology]]
 
diff --git a/10_Wiki/Topics/Computer_Science_and_Theory/Information Retrieval Evaluation Metrics.md b/10_Wiki/Topics/Computer_Science_and_Theory/Information Retrieval Evaluation Metrics.md
index 519e8bf5..4891f081 100644
--- a/10_Wiki/Topics/Computer_Science_and_Theory/Information Retrieval Evaluation Metrics.md	
+++ b/10_Wiki/Topics/Computer_Science_and_Theory/Information Retrieval Evaluation Metrics.md	
@@ -127,7 +127,7 @@ t, p = ttest_rel(ndcg_system_A, ndcg_system_B)
 **기본값**: NDCG@10, 매 paired-t test 매 statistical significance.
 
 ## 🔗 Graph
-- 부모: [[Information-Retrieval]] · [[Statistics]]
+- 부모: [[Information Retrieval]] · [[Statistics]]
 - 변형: [[Ranking-Algorithms]] · [[Relevance-Feedback]]
 - 응용: [[Keyword Search]] · [[Knowledge Graph]]
 - Adjacent: [[Statistical-Power]]
diff --git a/10_Wiki/Topics/Computer_Science_and_Theory/Information-Entropy.md b/10_Wiki/Topics/Computer_Science_and_Theory/Information-Entropy.md
index 73573910..f4b68242 100644
--- a/10_Wiki/Topics/Computer_Science_and_Theory/Information-Entropy.md
+++ b/10_Wiki/Topics/Computer_Science_and_Theory/Information-Entropy.md
@@ -124,7 +124,7 @@ h = differential_entropy(samples)  # ≈ 0.5*log(2πe) ≈ 1.42 nat
 - 부모: [[Entropy in Information Theory]] · [[Probability Theory]]
 - 변형: [[Mutual-Information]] · [[Kullback-Leibler-Divergence]] · [[Kolmogorov-Complexity]]
 - 응용: [[Entropy in Information Theory|Information Theory]] · [[Information Retrieval (IR)]]
-- Adjacent: [[Statistical-Power]] · [[Bayesian-Inference]]
+- Adjacent: [[Statistical-Power]] · [[Bayesian Inference]]
 
 ## 🤖 LLM 활용
 **언제**: 매 loss design, 매 feature ranking, 매 sampling strategy 설명, 매 compression bound 추정.
diff --git a/10_Wiki/Topics/Computer_Science_and_Theory/Kalman-Filter-and-State-Tracking.md b/10_Wiki/Topics/Computer_Science_and_Theory/Kalman-Filter-and-State-Tracking.md
index b00a9765..53a75895 100644
--- a/10_Wiki/Topics/Computer_Science_and_Theory/Kalman-Filter-and-State-Tracking.md
+++ b/10_Wiki/Topics/Computer_Science_and_Theory/Kalman-Filter-and-State-Tracking.md
@@ -145,7 +145,7 @@ xs_sm, Ps_sm = rts_smoother(xs, Ps, F, Q)  # 매 future info 활용
 - 부모: [[Probability Theory]] · [[Optimal-Control-Theory]] · [[Linear-Algebra-Foundations]]
 - 변형: [[Particle-Filter-Algorithms]]
 - 응용: [[Autonomous-Vehicle-Path-Planning]] · [[High-Frequency-Trading-Models]]
-- Adjacent: [[Bayesian-Inference]] · [[Signal-Processing-Foundations]] · [[Gimbals-and-Orientation]]
+- Adjacent: [[Bayesian Inference]] · [[Signal-Processing-Foundations]] · [[Gimbals-and-Orientation]]
 
 ## 🤖 LLM 활용
 **언제**: 매 sensor fusion architecture 설계, 매 noise model tuning 가이드, 매 SLAM debugging.
diff --git a/10_Wiki/Topics/Computer_Science_and_Theory/Keyword Search.md b/10_Wiki/Topics/Computer_Science_and_Theory/Keyword Search.md
index 40d2e412..c3d24340 100644
--- a/10_Wiki/Topics/Computer_Science_and_Theory/Keyword Search.md	
+++ b/10_Wiki/Topics/Computer_Science_and_Theory/Keyword Search.md	
@@ -149,9 +149,9 @@ class InvertedIndex:
 **기본값**: BM25 + RRF fusion with dense retriever.
 
 ## 🔗 Graph
-- 부모: [[Information-Retrieval]]
+- 부모: [[Information Retrieval]]
 - 변형: [[BM25]] · [[TF-IDF]]
-- 응용: [[Hybrid-Search]] · [[Semantic Search|Semantic-Search]]
+- 응용: [[Hybrid Search]] · [[Semantic Search|Semantic-Search]]
 - Adjacent: [[Tokenization]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Computer_Science_and_Theory/Linear-Algebra-Foundations.md b/10_Wiki/Topics/Computer_Science_and_Theory/Linear-Algebra-Foundations.md
index 4aecdc31..a01a5da2 100644
--- a/10_Wiki/Topics/Computer_Science_and_Theory/Linear-Algebra-Foundations.md
+++ b/10_Wiki/Topics/Computer_Science_and_Theory/Linear-Algebra-Foundations.md
@@ -138,7 +138,7 @@ def attention(Q, K, V, mask=None):
 
 ## 🔗 Graph
 - 변형: [[SVD]] · [[Eigendecomposition]]
-- 응용: [[PCA]] · [[Attention-Mechanism]] · [[Linear-Regression]]
+- 응용: [[PCA]] · [[Attention Mechanism]] · [[Linear-Regression]]
 
 ## 🤖 LLM 활용
 **언제**: 매 ML 의 derivation, debugging matrix shapes, performance reasoning.
diff --git a/10_Wiki/Topics/Computer_Science_and_Theory/Linked-Lists-and-Trees.md b/10_Wiki/Topics/Computer_Science_and_Theory/Linked-Lists-and-Trees.md
index 18ce9b11..befbd6f4 100644
--- a/10_Wiki/Topics/Computer_Science_and_Theory/Linked-Lists-and-Trees.md
+++ b/10_Wiki/Topics/Computer_Science_and_Theory/Linked-Lists-and-Trees.md
@@ -201,7 +201,7 @@ def is_balanced(node) -> bool:
 
 ## 🔗 Graph
 - 변형: [[Skip List]]
-- 응용: [[AST Abstract Syntax Tree]] · [[DOM Tree]]
+- 응용: [[AST (Abstract Syntax Tree)]] · [[DOM Tree]]
 - Adjacent: [[Hash Functions and Maps]] · [[B-Tree]] · [[Trie]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Computer_Science_and_Theory/Logic Trees.md b/10_Wiki/Topics/Computer_Science_and_Theory/Logic Trees.md
index d8e53836..c4155d6c 100644
--- a/10_Wiki/Topics/Computer_Science_and_Theory/Logic Trees.md	
+++ b/10_Wiki/Topics/Computer_Science_and_Theory/Logic Trees.md	
@@ -113,8 +113,8 @@ def tree_to_tasks(node, owner=None):
 ## 🔗 Graph
 - 부모: [[Mental_Models|Mental Models]] · [[Mutually Exclusive and Collectively Exhaustive (MECE)]]
 - 변형: [[Issue Tree]] · [[Decision Theory]]
-- 응용: [[Root-Cause-Analysis]] · [[5-Whys]]
-- Adjacent: [[Pyramid-Principle]]
+- 응용: [[Root Cause Analysis]] · [[5-Whys]]
+- Adjacent: [[Pyramid Principle]]
 
 ## 🤖 LLM 활용
 **언제**: Open-ended problem decomposition, agent task planning, structured analysis.
diff --git a/10_Wiki/Topics/Computer_Science_and_Theory/Monte-Carlo-Integration.md b/10_Wiki/Topics/Computer_Science_and_Theory/Monte-Carlo-Integration.md
index fb6527ad..ee7a833d 100644
--- a/10_Wiki/Topics/Computer_Science_and_Theory/Monte-Carlo-Integration.md
+++ b/10_Wiki/Topics/Computer_Science_and_Theory/Monte-Carlo-Integration.md
@@ -113,7 +113,7 @@ def mc(key, n):
 ## 🔗 Graph
 - 부모: [[Statistics]]
 - 변형: [[MCMC]]
-- 응용: [[Bayesian-Inference]] · [[RLHF]]
+- 응용: [[Bayesian Inference]] · [[RLHF]]
 
 ## 🤖 LLM 활용
 **언제**: High-dim integration, expectation under intractable distribution, simulation.
diff --git a/10_Wiki/Topics/Computer_Science_and_Theory/Mutually Exclusive and Collectively Exhaustive (MECE).md b/10_Wiki/Topics/Computer_Science_and_Theory/Mutually Exclusive and Collectively Exhaustive (MECE).md
index 06d1b287..697a124e 100644
--- a/10_Wiki/Topics/Computer_Science_and_Theory/Mutually Exclusive and Collectively Exhaustive (MECE).md	
+++ b/10_Wiki/Topics/Computer_Science_and_Theory/Mutually Exclusive and Collectively Exhaustive (MECE).md	
@@ -118,9 +118,9 @@ def mece_pareto(buckets, values, top=0.8):
 **기본값**: Quantitative MECE (numerical sum-check 가능).
 
 ## 🔗 Graph
-- 부모: [[Mental_Models|Mental Models]] · [[Pyramid-Principle]]
+- 부모: [[Mental_Models|Mental Models]] · [[Pyramid Principle]]
 - 변형: [[Logic Trees]] · [[Issue Tree]]
-- 응용: [[Root-Cause-Analysis]]
+- 응용: [[Root Cause Analysis]]
 - Adjacent: [[Decision Theory]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Computer_Science_and_Theory/Ontology.md b/10_Wiki/Topics/Computer_Science_and_Theory/Ontology.md
index 8e91d1b7..e8180b40 100644
--- a/10_Wiki/Topics/Computer_Science_and_Theory/Ontology.md
+++ b/10_Wiki/Topics/Computer_Science_and_Theory/Ontology.md
@@ -166,7 +166,7 @@ def align_classes(onto_a_labels, onto_b_labels, threshold=0.85):
 **기본값**: 매 enterprise → SKOS + RDFS; 매 reasoning critical → OWL 2 EL/QL profile.
 
 ## 🔗 Graph
-- 부모: [[Knowledge Graph]] · [[Semantic Web]] · [[Knowledge Representation]]
+- 부모: [[Knowledge Graph]] · [[Semantic-Web]] · [[Knowledge Representation]]
 - 변형: [[OWL]]
 - 응용: [[GraphRAG]]
 
diff --git a/10_Wiki/Topics/Computer_Science_and_Theory/Optimal-Control-Theory.md b/10_Wiki/Topics/Computer_Science_and_Theory/Optimal-Control-Theory.md
index 247c1558..afd1ff1b 100644
--- a/10_Wiki/Topics/Computer_Science_and_Theory/Optimal-Control-Theory.md
+++ b/10_Wiki/Topics/Computer_Science_and_Theory/Optimal-Control-Theory.md
@@ -152,7 +152,7 @@ def value_iter(grid, f, l, dt, gamma=0.99, n_iter=500):
 ## 🔗 Graph
 - 부모: [[Control-Theory]] · [[Optimization]]
 - 응용: [[Robotics]] · [[Autonomous-Driving]]
-- Adjacent: [[Reinforcement-Learning]] · [[Dynamic-Programming]] · [[데이터_사이언스_및_ML_엔지니어링|Bellman-Equation]]
+- Adjacent: [[Reinforcement-Learning]] · [[Dynamic-Programming]] · [[데이터 사이언스 및 ML 엔지니어링|Bellman-Equation]]
 
 ## 🤖 LLM 활용
 **언제**: cost-function design, MPC weight tuning rationale, Pontryagin/HJB derivation 매 explanation.
diff --git a/10_Wiki/Topics/Computer_Science_and_Theory/Posterior-and-Prior-Probability.md b/10_Wiki/Topics/Computer_Science_and_Theory/Posterior-and-Prior-Probability.md
index aa9cf4e7..67204143 100644
--- a/10_Wiki/Topics/Computer_Science_and_Theory/Posterior-and-Prior-Probability.md
+++ b/10_Wiki/Topics/Computer_Science_and_Theory/Posterior-and-Prior-Probability.md
@@ -134,7 +134,7 @@ with m:
 
 ## 🔗 Graph
 - 부모: [[Probability Theory]] · [[Statistics]]
-- 변형: [[MAP Estimation]]
+- 변형: [[MAP Estimation (Maximum A Posteriori)]]
 - 응용: [[Particle-Filter-Algorithms]] · [[Kalman-Filter-and-State-Tracking]]
 - Adjacent: [[Entropy in Information Theory|Information Theory]] · [[Decision Theory]] · [[Expectation-Maximization]]
 
diff --git a/10_Wiki/Topics/Computer_Science_and_Theory/Relevance-Feedback.md b/10_Wiki/Topics/Computer_Science_and_Theory/Relevance-Feedback.md
index 0bde71ab..72c31924 100644
--- a/10_Wiki/Topics/Computer_Science_and_Theory/Relevance-Feedback.md
+++ b/10_Wiki/Topics/Computer_Science_and_Theory/Relevance-Feedback.md
@@ -120,7 +120,7 @@ def ips_loss(clicks, ranks, propensity):
 **기본값**: BM25 baseline + RM3 (k=10, w=0.5); dense는 HyDE for high-stakes RAG.
 
 ## 🔗 Graph
-- 부모: [[Information-Retrieval]] · [[Query-Expansion]]
+- 부모: [[Information Retrieval]] · [[Query-Expansion]]
 - 변형: [[Pseudo-Relevance-Feedback]]
 - 응용: [[RAG]]
 - Adjacent: [[BM25]] · [[Dense-Retrieval]] · [[Reranking]] · [[ColBERT]]
diff --git a/10_Wiki/Topics/Computer_Science_and_Theory/Sampling-Techniques.md b/10_Wiki/Topics/Computer_Science_and_Theory/Sampling-Techniques.md
index 588d12b5..d6634021 100644
--- a/10_Wiki/Topics/Computer_Science_and_Theory/Sampling-Techniques.md
+++ b/10_Wiki/Topics/Computer_Science_and_Theory/Sampling-Techniques.md
@@ -165,7 +165,7 @@ def balanced_sampler(labels):
 ## 🔗 Graph
 - 부모: [[Statistics]] · [[Probability Theory|Probability-Theory-Foundations]]
 - 변형: [[Monte-Carlo-Integration]] · [[Particle-Filter-Algorithms]]
-- 응용: [[데이터_사이언스_및_ML_엔지니어링|Reinforcement_Learning_Fundamentals]] · [[Information Retrieval (IR)]]
+- 응용: [[데이터 사이언스 및 ML 엔지니어링|Reinforcement_Learning_Fundamentals]] · [[Information Retrieval (IR)]]
 - Adjacent: [[Posterior-and-Prior-Probability]] · [[Statistical-Power]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Computer_Science_and_Theory/Similarity-Metrics.md b/10_Wiki/Topics/Computer_Science_and_Theory/Similarity-Metrics.md
index 7de04dd1..3ff3aa52 100644
--- a/10_Wiki/Topics/Computer_Science_and_Theory/Similarity-Metrics.md
+++ b/10_Wiki/Topics/Computer_Science_and_Theory/Similarity-Metrics.md
@@ -165,7 +165,7 @@ fused = rrf([bm25_top, dense_top])
 **기본값**: normalized embeddings + cosine (= dot product on unit vectors).
 
 ## 🔗 Graph
-- 부모: [[Information-Retrieval]] · [[Embeddings]]
+- 부모: [[Information Retrieval]] · [[Embeddings]]
 - 응용: [[RAG]] · [[Recommender-Systems]] · [[Clustering]]
 - Adjacent: [[FAISS]] · [[BM25]] · [[Locality-Sensitive-Hashing (LSH)|Locality-Sensitive-Hashing]]
 
diff --git a/10_Wiki/Topics/Computer_Science_and_Theory/VPS_NeRF.md b/10_Wiki/Topics/Computer_Science_and_Theory/VPS_NeRF.md
index 03ec39bd..63d3a363 100644
--- a/10_Wiki/Topics/Computer_Science_and_Theory/VPS_NeRF.md
+++ b/10_Wiki/Topics/Computer_Science_and_Theory/VPS_NeRF.md
@@ -154,7 +154,7 @@ def photometric_loss(I_pred, I_obs, mask=None):
 
 ## 🔗 Graph
 - 부모: [[3D-Reconstruction]]
-- 변형: [[NeRF]] · [[3D-Gaussian-Splatting]]
+- 변형: [[NeRF]] · [[3D_Gaussian_Splatting]]
 - 응용: [[Mixed-Reality]]
 - Adjacent: [[SLAM]]
 
diff --git a/10_Wiki/Topics/Computer_Science_and_Theory/Weak Central Coherence Theory.md b/10_Wiki/Topics/Computer_Science_and_Theory/Weak Central Coherence Theory.md
index 5df52e34..195f33e6 100644
--- a/10_Wiki/Topics/Computer_Science_and_Theory/Weak Central Coherence Theory.md	
+++ b/10_Wiki/Topics/Computer_Science_and_Theory/Weak Central Coherence Theory.md	
@@ -129,7 +129,7 @@ challenges = ["Executive summaries", "Big-picture strategy"]
 **기본값**: Treat as cognitive style (strengths + trade-offs), use multi-test battery.
 
 ## 🔗 Graph
-- Adjacent: [[Theory-of-Mind]] · [[Working-Memory]]
+- Adjacent: [[Theory of Mind]] · [[Working Memory]]
 
 ## 🤖 LLM 활용
 **언제**: Modeling cognitive style differences. Designing assessment / UX for neurodivergent. Explaining detail-vs-gist trade-off in cognition.
diff --git a/10_Wiki/Topics/Computer_Science_and_Theory/Working Memory.md b/10_Wiki/Topics/Computer_Science_and_Theory/Working Memory.md
index 31140963..efee935c 100644
--- a/10_Wiki/Topics/Computer_Science_and_Theory/Working Memory.md	
+++ b/10_Wiki/Topics/Computer_Science_and_Theory/Working Memory.md	
@@ -161,10 +161,10 @@ Problem: {problem}"""
 **기본값**: Cowan's 4±1 chunks; chunk + offload to external memory (notes, scratchpad, retrieval).
 
 ## 🔗 Graph
-- 부모: [[Cognitive-Psychology]]
+- 부모: [[Cognitive Psychology]]
 - 변형: [[Short-Term-Memory]]
 - 응용: [[Cognitive Load Theory|Cognitive-Load-Theory]] · [[Chunking]] · [[Attention]]
-- Adjacent: [[Long-Term-Memory]] · [[Weak-Central-Coherence-Theory]]
+- Adjacent: [[Long-Term-Memory]] · [[Weak Central Coherence Theory]]
 
 ## 🤖 LLM 활용
 **언제**: Cognitive load reasoning, UX design, educational scaffolding, modeling LLM context use, ADHD/dementia assessment design.
diff --git a/10_Wiki/Topics/Core_Systems/Cyber-Physical Systems (CPS).md b/10_Wiki/Topics/Core_Systems/Cyber-Physical Systems (CPS).md
index ba2ae259..8ed87a7f 100644
--- a/10_Wiki/Topics/Core_Systems/Cyber-Physical Systems (CPS).md	
+++ b/10_Wiki/Topics/Core_Systems/Cyber-Physical Systems (CPS).md	
@@ -77,7 +77,7 @@ IoT 와 다른 점:
 - **Edge vs cloud**: 옛날 = "edge 가 simple, cloud 가 brain". 모던 = "edge 가 LLM 도 run". Trade-off 가 latency / cost / privacy.
 
 ## 🔗 지식 연결 (Graph)
-- 관련: [[Control-Theory]] · [[Digital-Twin]] · [[Industrial-IoT]] · [[Autonomous-Driving]]
+- 관련: [[Control-Theory]] · [[Digital Twin]] · [[Industrial-IoT]] · [[Autonomous-Driving]]
 - Adjacent: [[Edge Computing|Edge-Computing]]
 - Raw Source: [[00_Raw/2026-04-20/Cyber-Physical Systems (CPS).md]]
 
@@ -104,7 +104,7 @@ IoT 와 다른 점:
 - **검토 이유:** Manual cleanup. Concept 가 안정. Specific certification / regulation 은 별도 verify.
 
 ## 🧬 중복 검사 (Duplicate Check)
-- **기존 유사 문서:** [[Industrial-IoT]] (overlap), [[Embedded-Systems]] (subset), [[Digital-Twin]] (related).
+- **기존 유사 문서:** [[Industrial-IoT]] (overlap), [[Embedded-Systems]] (subset), [[Digital Twin]] (related).
 - **처리 방식:** KEEP (CPS 가 distinct concept — physical+cyber tight coupling 의 강조).
 - **처리 이유:** Industrial IoT 는 connectivity 강조, CPS 는 control loop 강조.
 
diff --git a/10_Wiki/Topics/Data Privacy & Local Processing.md b/10_Wiki/Topics/Data Privacy & Local Processing.md
index cc77082d..d8aff3d9 100644
--- a/10_Wiki/Topics/Data Privacy & Local Processing.md	
+++ b/10_Wiki/Topics/Data Privacy & Local Processing.md	
@@ -137,7 +137,7 @@ def redact(text):
 
 ## 🔗 Graph
 - 부모: [[Privacy]]
-- 변형: [[Federated Learning]] · [[Differential Privacy]] · [[Homomorphic Encryption]]
+- 변형: [[Federated Learning]] · [[Differential Privacy]] · [[Homomorphic Encryption (HE)]]
 - 응용: [[On-device AI]]
 - Adjacent: [[Edge Computing]] · [[Practical-Cryptography|Cryptography]] · [[GDPR]]
 
diff --git a/10_Wiki/Topics/Data Twins.md b/10_Wiki/Topics/Data Twins.md
index 6c186851..9229ee7c 100644
--- a/10_Wiki/Topics/Data Twins.md	
+++ b/10_Wiki/Topics/Data Twins.md	
@@ -147,7 +147,7 @@ def ask_twin(twin_state, question):
 ## 🔗 Graph
 - 부모: [[Cyber-Physical Systems]]
 - 변형: [[Predictive Maintenance]]
-- Adjacent: [[클라우드_인프라_및_IaC_운영_표준|IoT]] · [[Edge Computing]] · [[Time Series]]
+- Adjacent: [[클라우드 인프라 및 IaC 운영 표준|IoT]] · [[Edge Computing]] · [[Time Series]]
 
 ## 🤖 LLM 활용
 **언제**: 매 twin schema (DTDL) drafting, 매 anomaly explanation, 매 operator natural-language query, 매 simulation scenario generation.
diff --git a/10_Wiki/Topics/DevOps_and_Security/Cheneys Algorithm.md b/10_Wiki/Topics/DevOps_and_Security/Cheneys Algorithm.md
index e2ec31ad..57247ec8 100644
--- a/10_Wiki/Topics/DevOps_and_Security/Cheneys Algorithm.md	
+++ b/10_Wiki/Topics/DevOps_and_Security/Cheneys Algorithm.md	
@@ -127,7 +127,7 @@ else dst = (char*)to_space + free_;
 ## 🔗 Graph
 - 부모: [[Garbage Collection]] · [[Memory Management]]
 - 변형: [[Mark-Sweep]]
-- 응용: [[V8 Engine]] · [[Node.js]]
+- 응용: [[V8 Engine]] · [[Nodejs]]
 - Adjacent: [[Write Barrier]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/DevOps_and_Security/Chrome V8 Heap Analysis.md b/10_Wiki/Topics/DevOps_and_Security/Chrome V8 Heap Analysis.md
index a98c77e1..1432f86d 100644
--- a/10_Wiki/Topics/DevOps_and_Security/Chrome V8 Heap Analysis.md	
+++ b/10_Wiki/Topics/DevOps_and_Security/Chrome V8 Heap Analysis.md	
@@ -139,7 +139,7 @@ chrome --js-flags="--max-old-space-size=8192"
 **기본값**: 매 3-snapshot technique (baseline → workload → after-gc → diff).
 
 ## 🔗 Graph
-- 부모: [[V8 Engine]] · [[Chrome DevTools 메모리 프로파일링|Chrome DevTools]]
+- 부모: [[V8 Engine]] · [[Chrome DevTools Memory Profiling|Chrome DevTools]]
 - 변형: [[Electron V8 Memory Cage]]
 - 응용: [[Memory Leak Detection]] · [[Performance Optimization]]
 - Adjacent: [[Garbage Collection]]
diff --git a/10_Wiki/Topics/DevOps_and_Security/Code_Property_Graph.md b/10_Wiki/Topics/DevOps_and_Security/Code_Property_Graph.md
index 214eba99..4a0de584 100644
--- a/10_Wiki/Topics/DevOps_and_Security/Code_Property_Graph.md
+++ b/10_Wiki/Topics/DevOps_and_Security/Code_Property_Graph.md
@@ -134,7 +134,7 @@ joern> cpg.runScript("export-cpg.sc")
 - 부모: [[SAST]] · [[Static Analysis]]
 - 변형: [[AST]]
 - 응용: [[Joern]] · [[CodeQL]]
-- Adjacent: [[보안_및_시스템_신뢰성_표준|DAST]] · [[SCA_Fundamentals|SCA]] · [[DevSecOps Framework]]
+- Adjacent: [[보안 및 시스템 신뢰성 표준|DAST]] · [[SCA_Fundamentals|SCA]] · [[DevSecOps Framework]]
 
 ## 🤖 LLM 활용
 **언제**: 매 Joern Scala query 의 draft, 매 CPG result 의 false positive triage, 매 custom sink/source 의 suggestion.
diff --git a/10_Wiki/Topics/DevOps_and_Security/DevSecOps_Framework.md b/10_Wiki/Topics/DevOps_and_Security/DevSecOps_Framework.md
index 5226cc86..7b0ff636 100644
--- a/10_Wiki/Topics/DevOps_and_Security/DevSecOps_Framework.md
+++ b/10_Wiki/Topics/DevOps_and_Security/DevSecOps_Framework.md
@@ -129,10 +129,10 @@ cosign attest --predicate sbom.spdx.json --type spdx ghcr.io/org/app@sha256:...
 **기본값**: 매 Semgrep + Trivy + gitleaks + Checkov + cosign + Falco.
 
 ## 🔗 Graph
-- 부모: [[보안_및_시스템_신뢰성_표준|OWASP Top 10]] · [[안전한 소프트웨어 개발 수명주기(SSDLC)]]
+- 부모: [[보안 및 시스템 신뢰성 표준|OWASP Top 10]] · [[안전한 소프트웨어 개발 수명주기(SSDLC)]]
 - 변형: [[애플리케이션_보안_태세_관리ASPM]]
-- 응용: [[SAST]] · [[보안_및_시스템_신뢰성_표준|DAST]] · [[SCA_Fundamentals|SCA]] · [[Secret_Management]]
-- Adjacent: [[보안_및_시스템_신뢰성_표준|Zero-Trust Architecture]] · [[CI_CD_Pipeline]]
+- 응용: [[SAST]] · [[보안 및 시스템 신뢰성 표준|DAST]] · [[SCA_Fundamentals|SCA]] · [[Secret_Management]]
+- Adjacent: [[보안 및 시스템 신뢰성 표준|Zero-Trust Architecture]] · [[CI_CD_Pipeline]]
 
 ## 🤖 LLM 활용
 **언제**: vuln triage, false-positive filter, remediation PR draft, threat-model brainstorm.
diff --git a/10_Wiki/Topics/DevOps_and_Security/Digital Thread Integration.md b/10_Wiki/Topics/DevOps_and_Security/Digital Thread Integration.md
index fdecca42..cc7925bc 100644
--- a/10_Wiki/Topics/DevOps_and_Security/Digital Thread Integration.md	
+++ b/10_Wiki/Topics/DevOps_and_Security/Digital Thread Integration.md	
@@ -112,7 +112,7 @@ p.produce('plant.line1.temp', key=part_id, value=msg.SerializeToString())
 
 ## 🔗 Graph
 - 부모: [[Digital Twins]] · [[Digital Twins|Digital-Twin-Technology]]
-- 변형: [[클라우드_인프라_및_IaC_운영_표준|IoT]]
+- 변형: [[클라우드 인프라 및 IaC 운영 표준|IoT]]
 - 응용: [[Engineering Metrics (DORA)]]
 - Adjacent: [[Digital Intellectual Property Rights]]
 
diff --git a/10_Wiki/Topics/DevOps_and_Security/Encapsulation-via-Access-Modifiers.md b/10_Wiki/Topics/DevOps_and_Security/Encapsulation-via-Access-Modifiers.md
index 75460914..8b0650c9 100644
--- a/10_Wiki/Topics/DevOps_and_Security/Encapsulation-via-Access-Modifiers.md
+++ b/10_Wiki/Topics/DevOps_and_Security/Encapsulation-via-Access-Modifiers.md
@@ -198,7 +198,7 @@ fn get_user(id: UserId) { /* ... */ }
 **기본값**: most restrictive 의 default. 매 explicit 하 expand.
 
 ## 🔗 Graph
-- 부모: [[Object-Oriented Programming]] · [[Information Hiding]]
+- 부모: [[Object-Oriented Programming (OOP)]] · [[Information Hiding]]
 - 변형: [[Module System]]
 - 응용: [[API Design]] · [[Library Design]] · [[Refactoring_Best_Practices|Refactoring]]
 - Adjacent: [[Abstraction]] · [[SOLID]]
diff --git a/10_Wiki/Topics/DevOps_and_Security/Ensuring-Data-Privacy.md b/10_Wiki/Topics/DevOps_and_Security/Ensuring-Data-Privacy.md
index 2ae34156..36fdbd9d 100644
--- a/10_Wiki/Topics/DevOps_and_Security/Ensuring-Data-Privacy.md
+++ b/10_Wiki/Topics/DevOps_and_Security/Ensuring-Data-Privacy.md
@@ -131,8 +131,8 @@ await db.consents.insertOne(consent);
 **기본값**: 매 minimize + classify + tokenize + consent ledger + DSAR API.
 
 ## 🔗 Graph
-- 부모: [[Practical-Cryptography]] · [[보안_및_시스템_신뢰성_표준|Symmetric-Encryption]]
-- 변형: [[보안_및_시스템_신뢰성_표준|Zero-Trust Architecture]]
+- 부모: [[Practical-Cryptography]] · [[보안 및 시스템 신뢰성 표준|Symmetric-Encryption]]
+- 변형: [[보안 및 시스템 신뢰성 표준|Zero-Trust Architecture]]
 - 응용: [[Anomaly-Detection]] · [[Information-Society]]
 - Adjacent: [[Digital Intellectual Property Rights]]
 
diff --git a/10_Wiki/Topics/DevOps_and_Security/High Resolution Time.md b/10_Wiki/Topics/DevOps_and_Security/High Resolution Time.md
index ca6378fe..96591303 100644
--- a/10_Wiki/Topics/DevOps_and_Security/High Resolution Time.md	
+++ b/10_Wiki/Topics/DevOps_and_Security/High Resolution Time.md	
@@ -131,7 +131,7 @@ function isolatedPrecisionAvailable() {
 
 ## 🔗 Graph
 - 변형: [[Long Tasks]]
-- 응용: [[Core Web Vitals Optimization (INP, LCP 개선)|Core Web Vitals]]
+- 응용: [[Core Web Vitals Optimization (INP, LCP, CLS)|Core Web Vitals]]
 - Adjacent: [[Spectre]] · [[Cross-Origin Isolation]] · [[SharedArrayBuffer]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/DevOps_and_Security/Joern.md b/10_Wiki/Topics/DevOps_and_Security/Joern.md
index 9041dbc0..d3515b8b 100644
--- a/10_Wiki/Topics/DevOps_and_Security/Joern.md
+++ b/10_Wiki/Topics/DevOps_and_Security/Joern.md
@@ -109,8 +109,8 @@ cpg.runScript("exportCpg.sc", Map("outFile" -> "/tmp/cpg.bin.zip"))
 ## 🔗 Graph
 - 부모: [[SAST]] · [[Code_Property_Graph]]
 - 변형: [[CodeQL]] · [[Semgrep]]
-- 응용: [[보안_및_시스템_신뢰성_표준|OWASP Top 10]]
-- Adjacent: [[보안_및_시스템_신뢰성_표준|DAST]] · [[SCA_Fundamentals|SCA]]
+- 응용: [[보안 및 시스템 신뢰성 표준|OWASP Top 10]]
+- Adjacent: [[보안 및 시스템 신뢰성 표준|DAST]] · [[SCA_Fundamentals|SCA]]
 
 ## 🤖 LLM 활용
 **언제**: 매 cross-function taint trace 필요 — string-grep 매 부족할 때.
diff --git a/10_Wiki/Topics/DevOps_and_Security/Logging_and_Error_Handling.md b/10_Wiki/Topics/DevOps_and_Security/Logging_and_Error_Handling.md
index 51fe39d8..20da22de 100644
--- a/10_Wiki/Topics/DevOps_and_Security/Logging_and_Error_Handling.md
+++ b/10_Wiki/Topics/DevOps_and_Security/Logging_and_Error_Handling.md
@@ -189,7 +189,7 @@ const sampledLogger = logger.child({}, {
 
 ## 🔗 Graph
 - 부모: [[Observability]] · [[SRE]]
-- 변형: [[Distributed-Tracing]] · [[Type-safe Error Handling  Exhaustiveness Checking]]
+- 변형: [[Distributed Tracing]] · [[Type-safe Error Handling  Exhaustiveness Checking]]
 - 응용: [[Engineering Metrics (DORA)]] · [[Anomaly-Detection]]
 - Adjacent: [[Flame_Graphs]] · [[경고 피로 (Alert Fatigue)]]
 
diff --git a/10_Wiki/Topics/DevOps_and_Security/Page Experience Algorithm.md b/10_Wiki/Topics/DevOps_and_Security/Page Experience Algorithm.md
index b7da45f4..3b852e62 100644
--- a/10_Wiki/Topics/DevOps_and_Security/Page Experience Algorithm.md	
+++ b/10_Wiki/Topics/DevOps_and_Security/Page Experience Algorithm.md	
@@ -144,7 +144,7 @@ WHERE country_code = 'kr'
 ## 🔗 Graph
 - 부모: [[SEO]] · [[Web Performance]]
 - 변형: [[Lighthouse]]
-- 응용: [[Core Web Vitals Optimization (INP, LCP 개선)|Core Web Vitals]]
+- 응용: [[Core Web Vitals Optimization (INP, LCP, CLS)|Core Web Vitals]]
 - Adjacent: [[Lighthouse CI]] · [[PageSpeed Insights]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/DevOps_and_Security/Practical-Cryptography.md b/10_Wiki/Topics/DevOps_and_Security/Practical-Cryptography.md
index 58d04c5c..c928bab5 100644
--- a/10_Wiki/Topics/DevOps_and_Security/Practical-Cryptography.md
+++ b/10_Wiki/Topics/DevOps_and_Security/Practical-Cryptography.md
@@ -179,9 +179,9 @@ with KeyEncapsulation("Kyber768") as kem:
 
 ## 🔗 Graph
 - 부모: [[Practical-Cryptography|Cryptography]] · [[Security]]
-- 변형: [[보안_및_시스템_신뢰성_표준|Symmetric-Encryption]]
-- 응용: [[Secret_Management]] · [[보안_및_시스템_신뢰성_표준|Zero-Trust Architecture]]
-- Adjacent: [[보안_및_시스템_신뢰성_표준|OWASP Top 10]] · [[Practical-Cryptography]]
+- 변형: [[보안 및 시스템 신뢰성 표준|Symmetric-Encryption]]
+- 응용: [[Secret_Management]] · [[보안 및 시스템 신뢰성 표준|Zero-Trust Architecture]]
+- Adjacent: [[보안 및 시스템 신뢰성 표준|OWASP Top 10]] · [[Practical-Cryptography]]
 
 ## 🤖 LLM 활용
 **언제**: explain primitive choice, audit crypto code for misuse, suggest migration paths.
diff --git a/10_Wiki/Topics/DevOps_and_Security/SAST.md b/10_Wiki/Topics/DevOps_and_Security/SAST.md
index 2ff09aa8..8146bd78 100644
--- a/10_Wiki/Topics/DevOps_and_Security/SAST.md
+++ b/10_Wiki/Topics/DevOps_and_Security/SAST.md
@@ -120,9 +120,9 @@ const result = eval(safeMath); // ok
 **기본값**: Semgrep (PR gate, p/owasp-top-ten) + CodeQL (nightly, scheduled).
 
 ## 🔗 Graph
-- 부모: [[CI_CD 파이프라인 및 IDE 통합 보안|DevSecOps]] · [[Application Security]]
-- 변형: [[보안_및_시스템_신뢰성_표준|DAST]] · [[IAST]] · [[SCA_Fundamentals|SCA]]
-- 응용: [[보안_및_시스템_신뢰성_표준|OWASP Top 10]] · [[Secure SDLC]]
+- 부모: [[CI/CD Pipeline & IDE Security Integration|DevSecOps]] · [[Application Security]]
+- 변형: [[보안 및 시스템 신뢰성 표준|DAST]] · [[IAST]] · [[SCA_Fundamentals|SCA]]
+- 응용: [[보안 및 시스템 신뢰성 표준|OWASP Top 10]] · [[Secure SDLC]]
 - Adjacent: [[CodeQL]] · [[Semgrep]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/DevOps_and_Security/SRE.md b/10_Wiki/Topics/DevOps_and_Security/SRE.md
index 1ac0fc73..08819fdb 100644
--- a/10_Wiki/Topics/DevOps_and_Security/SRE.md
+++ b/10_Wiki/Topics/DevOps_and_Security/SRE.md
@@ -130,7 +130,7 @@ type Toil = { repetitive: boolean; manual: boolean; automatable: boolean; ts: Da
 
 ## 🔗 Graph
 - 부모: [[DevOps]] · [[Production Engineering]]
-- 변형: [[Platform Engineering]] · [[CI_CD 파이프라인 및 IDE 통합 보안|DevSecOps]]
+- 변형: [[Platform Engineering]] · [[CI/CD Pipeline & IDE Security Integration|DevSecOps]]
 - 응용: [[Observability]] · [[Chaos Engineering]]
 - Adjacent: [[Prometheus]] · [[OpenTelemetry]]
 
diff --git a/10_Wiki/Topics/DevOps_and_Security/Secret_Management.md b/10_Wiki/Topics/DevOps_and_Security/Secret_Management.md
index 9c0d7e1e..73e7ff1c 100644
--- a/10_Wiki/Topics/DevOps_and_Security/Secret_Management.md
+++ b/10_Wiki/Topics/DevOps_and_Security/Secret_Management.md
@@ -144,8 +144,8 @@ export async function rotateApiKey(event) {
 ## 🔗 Graph
 - 부모: [[DevSecOps_Framework]] · [[Application Security]]
 - 변형: [[KMS]] · [[PKI]]
-- 응용: [[CI_CD_Pipeline]] · [[보안_및_시스템_신뢰성_표준|Zero-Trust Architecture]]
-- Adjacent: [[보안_및_시스템_신뢰성_표준|OWASP Top 10]] · [[OAuth 2.0]]
+- 응용: [[CI_CD_Pipeline]] · [[보안 및 시스템 신뢰성 표준|Zero-Trust Architecture]]
+- Adjacent: [[보안 및 시스템 신뢰성 표준|OWASP Top 10]] · [[OAuth 2.0]]
 
 ## 🤖 LLM 활용
 **언제**: Secret-scanner triage (매 actual secret vs 매 test fixture?), rotation runbook generation, IAM policy synthesis from natural-language requirement.
diff --git a/10_Wiki/Topics/DevOps_and_Security/Session Lifecycle.md b/10_Wiki/Topics/DevOps_and_Security/Session Lifecycle.md
index f7793496..793cab9d 100644
--- a/10_Wiki/Topics/DevOps_and_Security/Session Lifecycle.md	
+++ b/10_Wiki/Topics/DevOps_and_Security/Session Lifecycle.md	
@@ -137,7 +137,7 @@ if (sessions.length >= 5) {
 ## 🔗 Graph
 - 부모: [[Application Security]]
 - 변형: [[JWT]] · [[OAuth 2.0]]
-- 응용: [[보안_및_시스템_신뢰성_표준|OWASP Top 10]] · [[보안_및_시스템_신뢰성_표준|Zero-Trust Architecture]]
+- 응용: [[보안 및 시스템 신뢰성 표준|OWASP Top 10]] · [[보안 및 시스템 신뢰성 표준|Zero-Trust Architecture]]
 
 ## 🤖 LLM 활용
 **언제**: Session anomaly detection (매 sudden geo / device shift), suspicious-activity summary for support.
diff --git a/10_Wiki/Topics/DevOps_and_Security/Type-safe Error Handling  Exhaustiveness Checking.md b/10_Wiki/Topics/DevOps_and_Security/Type-safe Error Handling  Exhaustiveness Checking.md
index ecfb8135..c496c8ec 100644
--- a/10_Wiki/Topics/DevOps_and_Security/Type-safe Error Handling  Exhaustiveness Checking.md	
+++ b/10_Wiki/Topics/DevOps_and_Security/Type-safe Error Handling  Exhaustiveness Checking.md	
@@ -186,7 +186,7 @@ function transition(s: State, e: Event): State {
 ## 🔗 Graph
 - 부모: [[TypeScript 타입 시스템 (TypeScript Type System)|Type System]] · [[Error Handling]]
 - 응용: [[State Machine]] · [[API Client]]
-- Adjacent: [[Discriminated Union]] · [[effect-ts]] · [[Zod]]
+- Adjacent: [[Discriminated Union]] · [[Effect TS]] · [[Zod]]
 
 ## 🤖 LLM 활용
 **언제**: 매 multi-error business logic, API boundary, state machine.
diff --git a/10_Wiki/Topics/DevOps_and_Security/V8 Engine.md b/10_Wiki/Topics/DevOps_and_Security/V8 Engine.md
index 965a0370..90837f75 100644
--- a/10_Wiki/Topics/DevOps_and_Security/V8 Engine.md	
+++ b/10_Wiki/Topics/DevOps_and_Security/V8 Engine.md	
@@ -157,7 +157,7 @@ node --max-old-space-size=512 \
 ## 🔗 Graph
 - 부모: [[JavaScript]] · [[JIT Compilation]]
 - 변형: [[JavaScriptCore]]
-- 응용: [[Node.js]] · [[Electron]] · [[Deno]] · [[Cloudflare Workers]]
+- 응용: [[Nodejs]] · [[Electron]] · [[Deno]] · [[Cloudflare Workers]]
 - Adjacent: [[Garbage Collection]] · [[Chrome V8 Heap Analysis]] · [[Electron V8 Memory Cage]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/DevOps_and_Security/Version_Control_Systems.md b/10_Wiki/Topics/DevOps_and_Security/Version_Control_Systems.md
index d075c7f8..92284b9b 100644
--- a/10_Wiki/Topics/DevOps_and_Security/Version_Control_Systems.md
+++ b/10_Wiki/Topics/DevOps_and_Security/Version_Control_Systems.md
@@ -128,7 +128,7 @@ git commit -m "chore: track design assets via LFS"
 **기본값**: Git + trunk-based development + Conventional Commits + signed commits + GitHub Actions CI.
 
 ## 🔗 Graph
-- 응용: [[GitOps]] · [[CI-CD]] · [[Code-Review]]
+- 응용: [[GitOps]] · [[CI CD]] · [[Code-Review]]
 - Adjacent: [[Conventional-Commits]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/DevOps_and_Security/Visual-Effects-VFX.md b/10_Wiki/Topics/DevOps_and_Security/Visual-Effects-VFX.md
index 087bf714..011b3fe0 100644
--- a/10_Wiki/Topics/DevOps_and_Security/Visual-Effects-VFX.md
+++ b/10_Wiki/Topics/DevOps_and_Security/Visual-Effects-VFX.md
@@ -130,7 +130,7 @@ masks = list(predictor.propagate_in_video(state))
 
 ## 🔗 Graph
 - 부모: [[Computer-Graphics]]
-- Adjacent: [[USD-Universal-Scene-Description]] · [[Gaussian-Splatting]]
+- Adjacent: [[USD   Universal Scene Description]] · [[Gaussian-Splatting]]
 
 ## 🤖 LLM 활용
 **언제**: HScript/Python boilerplate, Nuke node tree generation, USD layer authoring, shot breakdown drafts.
diff --git a/10_Wiki/Topics/DevOps_and_Security/엔터프라이즈 소프트웨어 시스템 설계.md b/10_Wiki/Topics/DevOps_and_Security/엔터프라이즈 소프트웨어 시스템 설계.md
index 4f5b5086..0d94fea5 100644
--- a/10_Wiki/Topics/DevOps_and_Security/엔터프라이즈 소프트웨어 시스템 설계.md	
+++ b/10_Wiki/Topics/DevOps_and_Security/엔터프라이즈 소프트웨어 시스템 설계.md	
@@ -159,7 +159,7 @@ services:
 
 ## 🔗 Graph
 - 부모: [[Distributed Systems]]
-- 변형: [[Microservices]] · [[Event-Driven Architecture]] · [[Service-Oriented Architecture]]
+- 변형: [[Microservices]] · [[Event-Driven Architecture]] · [[Service-oriented Architecture (SOA)]]
 - 응용: [[E-commerce_Platforms|E-commerce Platforms]]
 - Adjacent: [[Domain-Driven Design]] · [[Hexagonal Architecture]]
 
diff --git a/10_Wiki/Topics/DevOps_and_Security/지속적 통합 (CI) 및 지속적 배포 (CD).md b/10_Wiki/Topics/DevOps_and_Security/지속적 통합 (CI) 및 지속적 배포 (CD).md
index 809c9df6..0dc3b9a5 100644
--- a/10_Wiki/Topics/DevOps_and_Security/지속적 통합 (CI) 및 지속적 배포 (CD).md	
+++ b/10_Wiki/Topics/DevOps_and_Security/지속적 통합 (CI) 및 지속적 배포 (CD).md	
@@ -4,7 +4,7 @@ title: 지속적 통합 (CI) 및 지속적 배포 (CD)
 category: 10_Wiki/Topics
 status: duplicate
 canonical_id: ci-cd
-duplicate_of: "[[CI-CD]]"
+duplicate_of: "[[CI CD]]"
 aliases: [CI/CD, Continuous Integration, Continuous Deployment]
 source_trust_level: A
 confidence_score: 0.9
@@ -16,14 +16,14 @@ github_commit: pending
 
 # 지속적 통합 (CI) 및 지속적 배포 (CD)
 
-> **이 문서는 [[CI-CD]] 의 중복본입니다.** Canonical 문서로 redirect.
+> **이 문서는 [[CI CD]] 의 중복본입니다.** Canonical 문서로 redirect.
 
 ## 핵심 요약
 - 매 mainline 의 frequent merge + automated pipeline — build, test, deploy.
 - 매 GitHub Actions, GitLab CI, Argo CD — modern GitOps 의 backbone.
 
 ## 🔗 Graph
-- 부모: [[CI-CD]] (canonical)
+- 부모: [[CI CD]] (canonical)
 
 ## 🕓 변경 이력
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/Economics & Algorithms/Dynamic Pricing.md b/10_Wiki/Topics/Economics & Algorithms/Dynamic Pricing.md
index 696d080d..2a6ee712 100644
--- a/10_Wiki/Topics/Economics & Algorithms/Dynamic Pricing.md	
+++ b/10_Wiki/Topics/Economics & Algorithms/Dynamic Pricing.md	
@@ -155,7 +155,7 @@ def bayesian_ab(buyers_a, visitors_a, buyers_b, visitors_b, n_sim=100_000):
 ## 🔗 Graph
 - 부모: [[게임 수익화 모델]]
 - 변형: [[Surge Pricing]]
-- 응용: [[IAP_In_App_Purchase]] · [[Live-ops]]
+- 응용: [[IAP_In_App_Purchase]] · [[LiveOps]]
 
 ## 🤖 LLM 활용
 **언제**: 매 elasticity 추정 의 EDA, 매 price ladder design, 매 A/B test 의 statistical analysis.
diff --git a/10_Wiki/Topics/Economics & Algorithms/Fortnite.md b/10_Wiki/Topics/Economics & Algorithms/Fortnite.md
index 16b5dc04..98f5fe9e 100644
--- a/10_Wiki/Topics/Economics & Algorithms/Fortnite.md	
+++ b/10_Wiki/Topics/Economics & Algorithms/Fortnite.md	
@@ -136,7 +136,7 @@ def shard_for_user(user_id: str, shard_size=60):
 **기본값**: 매 cosmetic-only + battle pass + seasonal cadence — 매 modern multiplayer 의 default.
 
 ## 🔗 Graph
-- 부모: [[게임 수익화 모델]] · [[Live-ops]]
+- 부모: [[게임 수익화 모델]] · [[LiveOps]]
 - 응용: [[F2P]]
 - Adjacent: [[Roblox]]
 
diff --git a/10_Wiki/Topics/Economics & Algorithms/IAP_In_App_Purchase.md b/10_Wiki/Topics/Economics & Algorithms/IAP_In_App_Purchase.md
index d462540b..96f2683e 100644
--- a/10_Wiki/Topics/Economics & Algorithms/IAP_In_App_Purchase.md	
+++ b/10_Wiki/Topics/Economics & Algorithms/IAP_In_App_Purchase.md	
@@ -172,7 +172,7 @@ app.post("/iap/webhook/apple", async (req) => {
 
 ## 🔗 Graph
 - 부모: [[게임 수익화 모델]] · [[Subscription]]
-- 응용: [[F2P]] · [[Live-ops]]
+- 응용: [[F2P]] · [[LiveOps]]
 - Adjacent: [[IAA]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Economics & Algorithms/Play-and-Earn.md b/10_Wiki/Topics/Economics & Algorithms/Play-and-Earn.md
index e678a444..f2919164 100644
--- a/10_Wiki/Topics/Economics & Algorithms/Play-and-Earn.md	
+++ b/10_Wiki/Topics/Economics & Algorithms/Play-and-Earn.md	
@@ -139,7 +139,7 @@ function adjustEmission(uint256 newDaily) external onlyDAO {
 
 ## 🔗 Graph
 - 변형: [[Free-to-Play]]
-- Adjacent: [[Live-ops]]
+- Adjacent: [[LiveOps]]
 
 ## 🤖 LLM 활용
 **언제**: 매 Web3 game economy design 시 — 매 sustainable token model 이 필요할 때.
diff --git a/10_Wiki/Topics/Economics & Algorithms/라이브옵스(Live-ops).md b/10_Wiki/Topics/Economics & Algorithms/라이브옵스(Live-ops).md
index 34e95b69..04c5a751 100644
--- a/10_Wiki/Topics/Economics & Algorithms/라이브옵스(Live-ops).md	
+++ b/10_Wiki/Topics/Economics & Algorithms/라이브옵스(Live-ops).md	
@@ -4,7 +4,7 @@ title: 라이브옵스(Live-ops)
 category: 10_Wiki/Topics
 status: duplicate
 canonical_id: live-ops
-duplicate_of: "[[Live-ops]]"
+duplicate_of: "[[LiveOps]]"
 aliases: [Live-ops, LiveOps]
 source_trust_level: A
 confidence_score: 0.9
@@ -16,7 +16,7 @@ github_commit: pending
 
 # 라이브옵스(Live-ops)
 
-> **이 문서는 [[Live-ops]] 의 중복본입니다.** Canonical 문서로 redirect.
+> **이 문서는 [[LiveOps]] 의 중복본입니다.** Canonical 문서로 redirect.
 
 ## 핵심 요약
 - 매 라이브 서비스 게임의 지속적 운영 (이벤트, 패치, 시즌 패스).
@@ -24,7 +24,7 @@ github_commit: pending
 - 매 Machinations 시뮬레이션과 연계되어 economy balancing.
 
 ## 🔗 Graph
-- 부모: [[Live-ops]] (canonical)
+- 부모: [[LiveOps]] (canonical)
 - 관련: [[Machinations(토크노믹스 시뮬레이션)]] · [[게임 수익화 모델]] · [[Machinations 라이브옵스 데이터 연동]]
 
 ## 🕓 변경 이력
diff --git a/10_Wiki/Topics/Edge Computing.md b/10_Wiki/Topics/Edge Computing.md
index 9726c9be..f1f515ea 100644
--- a/10_Wiki/Topics/Edge Computing.md	
+++ b/10_Wiki/Topics/Edge Computing.md	
@@ -165,7 +165,7 @@ convert("meta-llama/Llama-3.2-3B-Instruct",
 ## 🔗 Graph
 - 부모: [[Distributed Systems]]
 - 변형: [[CDN]] · [[Serverless]] · [[MEC]]
-- 응용: [[클라우드_인프라_및_IaC_운영_표준|IoT]] · [[Edge AI]] · [[On-device AI]]
+- 응용: [[클라우드 인프라 및 IaC 운영 표준|IoT]] · [[Edge AI]] · [[On-device AI]]
 - Adjacent: [[Cloud Native]] · [[Data Privacy & Local Processing]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Frontend/2026-04-25-Skybound_Skill_Concept_and_Hangar_Layout_Overlap_Fix.md b/10_Wiki/Topics/Frontend/2026-04-25-Skybound_Skill_Concept_and_Hangar_Layout_Overlap_Fix.md
index f1ac0483..2acadb8a 100644
--- a/10_Wiki/Topics/Frontend/2026-04-25-Skybound_Skill_Concept_and_Hangar_Layout_Overlap_Fix.md
+++ b/10_Wiki/Topics/Frontend/2026-04-25-Skybound_Skill_Concept_and_Hangar_Layout_Overlap_Fix.md
@@ -138,7 +138,7 @@ function rescaleForViewport(viewportW: number, viewportH: number) {
 
 ## 🔗 Graph
 - 부모: [[Skill-Tree-Design]]
-- Adjacent: [[API 응답 및 상태 모델링 (State Modeling and API Responses)|Discriminated-Unions]]
+- Adjacent: [[API Response & State Modeling|Discriminated-Unions]]
 
 ## 🤖 LLM 활용
 **언제**: layout slot enumeration, skill taxonomy brainstorm, tooltip copy.
diff --git a/10_Wiki/Topics/Frontend/2026-04-26-Skybound_Skip_Upgrade_and_Weapon_Transform_Reconfiguration.md b/10_Wiki/Topics/Frontend/2026-04-26-Skybound_Skip_Upgrade_and_Weapon_Transform_Reconfiguration.md
index c3942c6d..d0d19125 100644
--- a/10_Wiki/Topics/Frontend/2026-04-26-Skybound_Skip_Upgrade_and_Weapon_Transform_Reconfiguration.md
+++ b/10_Wiki/Topics/Frontend/2026-04-26-Skybound_Skip_Upgrade_and_Weapon_Transform_Reconfiguration.md
@@ -152,7 +152,7 @@ class LevelUpModal extends Phaser.GameObjects.Container {
 
 ## 🔗 Graph
 - 부모: [[Choice-Architecture]]
-- Adjacent: [[API 응답 및 상태 모델링 (State Modeling and API Responses)|Discriminated-Unions]]
+- Adjacent: [[API Response & State Modeling|Discriminated-Unions]]
 
 ## 🤖 LLM 활용
 **언제**: weapon evolution chart, prereq passive brainstorm, skip reward tuning.
diff --git a/10_Wiki/Topics/Frontend/2026-04-26-Skybound_Stage_Miniboss_Pattern_Differentiation.md b/10_Wiki/Topics/Frontend/2026-04-26-Skybound_Stage_Miniboss_Pattern_Differentiation.md
index 0f8a47d8..8950be3f 100644
--- a/10_Wiki/Topics/Frontend/2026-04-26-Skybound_Stage_Miniboss_Pattern_Differentiation.md
+++ b/10_Wiki/Topics/Frontend/2026-04-26-Skybound_Stage_Miniboss_Pattern_Differentiation.md
@@ -151,7 +151,7 @@ private runNullZone(p: AttackPattern & { kind: 'null-zone' }, _dt: number, mul:
 **기본값**: 매 8-pattern enum, stage:pattern = 1:1, enrage 1.6x speed mul.
 
 ## 🔗 Graph
-- Adjacent: [[API 응답 및 상태 모델링 (State Modeling and API Responses)|Discriminated-Unions]]
+- Adjacent: [[API Response & State Modeling|Discriminated-Unions]]
 
 ## 🤖 LLM 활용
 **언제**: pattern enumeration, counter-play brainstorm, telegraph copy.
diff --git a/10_Wiki/Topics/Frontend/Branded-Types-for-Nominal-Typing.md b/10_Wiki/Topics/Frontend/Branded-Types-for-Nominal-Typing.md
index 2a24f516..f1861872 100644
--- a/10_Wiki/Topics/Frontend/Branded-Types-for-Nominal-Typing.md
+++ b/10_Wiki/Topics/Frontend/Branded-Types-for-Nominal-Typing.md
@@ -157,8 +157,8 @@ export const UserId = (s: string): UserId => {
 
 ## 🔗 Graph
 - 부모: [[TypeScript]] · [[TypeScript 타입 시스템 (TypeScript Type System)|Type System]]
-- 변형: [[Opaque Types]]
-- Adjacent: [[Zod]] · [[Effect-TS]]
+- 변형: [[Opaque Types (TypeScript)]]
+- Adjacent: [[Zod]] · [[Effect TS]]
 
 ## 🤖 LLM 활용
 **언제**: domain model schema generation, brand utility scaffolding, smart constructor pattern.
diff --git a/10_Wiki/Topics/Frontend/Buffer Allocation.md b/10_Wiki/Topics/Frontend/Buffer Allocation.md
index bfd0d421..be3165bb 100644
--- a/10_Wiki/Topics/Frontend/Buffer Allocation.md	
+++ b/10_Wiki/Topics/Frontend/Buffer Allocation.md	
@@ -166,7 +166,7 @@ let count = 0;
 - 부모: [[Memory Management]] · [[Performance]]
 - 변형: [[Object Pool]]
 - 응용: [[WebGPU]]
-- Adjacent: [[SharedArrayBuffer]] · [[Typed Array]] · [[Garbage Collection]]
+- Adjacent: [[SharedArrayBuffer]] · [[TypedArray]] · [[Garbage Collection]]
 
 ## 🤖 LLM 활용
 **언제**: pool implementation scaffold, view layout calculation, ring buffer design.
diff --git a/10_Wiki/Topics/Frontend/Bundle Size Optimization.md b/10_Wiki/Topics/Frontend/Bundle Size Optimization.md
index 1367d026..19500b8d 100644
--- a/10_Wiki/Topics/Frontend/Bundle Size Optimization.md	
+++ b/10_Wiki/Topics/Frontend/Bundle Size Optimization.md	
@@ -162,7 +162,7 @@ dayjs.locale('ko');
 ## 🔗 Graph
 - 부모: [[Frontend Performance]]
 - 변형: [[Code Splitting]]
-- 응용: [[Core Web Vitals Optimization (INP, LCP 개선)|Core Web Vitals]] · [[LCP]]
+- 응용: [[Core Web Vitals Optimization (INP, LCP, CLS)|Core Web Vitals]] · [[LCP]]
 - Adjacent: [[Vite]] · [[Rollup]] · [[esbuild]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Frontend/CPU Overhead.md b/10_Wiki/Topics/Frontend/CPU Overhead.md
index 4f0ae7b4..41cad89d 100644
--- a/10_Wiki/Topics/Frontend/CPU Overhead.md	
+++ b/10_Wiki/Topics/Frontend/CPU Overhead.md	
@@ -163,7 +163,7 @@ els.forEach((el, i) => el.style.width = widths[i] + 1 + 'px');
 **기본값**: measure → smallest fix → re-measure.
 
 ## 🔗 Graph
-- 부모: [[Frontend Performance]] · [[Core Web Vitals Optimization (INP, LCP 개선)|Core Web Vitals]]
+- 부모: [[Frontend Performance]] · [[Core Web Vitals Optimization (INP, LCP, CLS)|Core Web Vitals]]
 - 변형: [[INP]]
 - 응용: [[Web Worker]] · [[Concurrent Features|Concurrent Rendering]]
 - Adjacent: [[Bundle Size Optimization]] · [[Hydration]]
diff --git a/10_Wiki/Topics/Frontend/Client Components.md b/10_Wiki/Topics/Frontend/Client Components.md
index 742c8b4a..904f4980 100644
--- a/10_Wiki/Topics/Frontend/Client Components.md	
+++ b/10_Wiki/Topics/Frontend/Client Components.md	
@@ -149,7 +149,7 @@ export default function Page() {
 **기본값**: 매 default Server Component — 매 boundary 를 leaf 에 push, 매 'use client' 매 minimum.
 
 ## 🔗 Graph
-- 부모: [[React Server Components]]
+- 부모: [[React Server Components — 경계 의식]]
 - 변형: [[Modern_Web_Rendering_and_Optimization|Server Components]] · [[Server Actions]]
 - 응용: [[Hydration]] · [[Suspense]] · [[Streaming SSR]]
 - Adjacent: [[Islands Architecture]] · [[Astro]]
diff --git a/10_Wiki/Topics/Frontend/Client-Side Rendering (CSR).md b/10_Wiki/Topics/Frontend/Client-Side Rendering (CSR).md
index 5dc77e1a..ef227789 100644
--- a/10_Wiki/Topics/Frontend/Client-Side Rendering (CSR).md	
+++ b/10_Wiki/Topics/Frontend/Client-Side Rendering (CSR).md	
@@ -143,9 +143,9 @@ npx prerender-spa-plugin --routes /,/about,/pricing
 **기본값**: 매 user-app (login wall 뒤) → CSR. 매 public content → SSR/SSG/RSC.
 
 ## 🔗 Graph
-- 부모: [[Rendering-Strategies]] · [[프론트엔드_및_UIUX_표준|Frontend-Architecture]]
-- 변형: [[React-Server-Components]]
-- Adjacent: [[Core Web Vitals Optimization (INP, LCP 개선)|Core-Web-Vitals]] · [[Code-Splitting]] · [[Hydration]]
+- 부모: [[Rendering-Strategies]] · [[프론트엔드 및 UIUX 표준|Frontend-Architecture]]
+- 변형: [[React Server Components — 경계 의식]]
+- Adjacent: [[Core Web Vitals Optimization (INP, LCP, CLS)|Core-Web-Vitals]] · [[Code Splitting]] · [[Hydration]]
 
 ## 🤖 LLM 활용
 **언제**: app-like UX, auth-protected, heavy client interactivity.
diff --git a/10_Wiki/Topics/Frontend/Component-Composition.md b/10_Wiki/Topics/Frontend/Component-Composition.md
index f06bbddf..277bfdff 100644
--- a/10_Wiki/Topics/Frontend/Component-Composition.md
+++ b/10_Wiki/Topics/Frontend/Component-Composition.md
@@ -151,7 +151,7 @@ function Stack({ gap = 8, children }: { gap?: number; children: React.ReactNode
 - 부모: [[React]]
 - 변형: [[Web-Components]]
 - 응용: [[Radix-UI]] · [[Headless-UI]] · [[shadcn]]
-- Adjacent: [[Server-Components]] · [[Composition API]]
+- Adjacent: [[Server Components]] · [[Composition API]]
 
 ## 🤖 LLM 활용
 **언제**: design system 구축, library API 설계, complex form/dialog UI.
diff --git a/10_Wiki/Topics/Frontend/Composition API.md b/10_Wiki/Topics/Frontend/Composition API.md
index 6314deb5..767d30a7 100644
--- a/10_Wiki/Topics/Frontend/Composition API.md	
+++ b/10_Wiki/Topics/Frontend/Composition API.md	
@@ -162,7 +162,7 @@ onUnmounted(() => console.log('cleanup'));
 
 ## 🔗 Graph
 - 부모: [[Vue 3]]
-- 변형: [[Options-API]] · [[Solid-Signals]]
+- 변형: [[Vue Options API]] · [[Solid-Signals]]
 - 응용: [[Composables]] · [[Pinia]] · [[Nuxt]]
 - Adjacent: [[Component-Composition]] · [[TypeScript]]
 
diff --git a/10_Wiki/Topics/Frontend/Concurrent Features.md b/10_Wiki/Topics/Frontend/Concurrent Features.md
index 4f8ddc77..d8368b15 100644
--- a/10_Wiki/Topics/Frontend/Concurrent Features.md	
+++ b/10_Wiki/Topics/Frontend/Concurrent Features.md	
@@ -169,9 +169,9 @@ scrollToBottom(); // 매 새 item 매 already mounted
 
 ## 🔗 Graph
 - 부모: [[React]] · [[Performance]]
-- 변형: [[Suspense]] · [[Server-Components]] · [[Streaming-SSR]]
+- 변형: [[Suspense]] · [[Server Components]] · [[Streaming SSR]]
 - 응용: [[Remix]]
-- Adjacent: [[Code-Splitting]]
+- Adjacent: [[Code Splitting]]
 
 ## 🤖 LLM 활용
 **언제**: 매 input lag, expensive list, async-heavy tree, SSR perf.
diff --git a/10_Wiki/Topics/Frontend/Diffing Algorithm.md b/10_Wiki/Topics/Frontend/Diffing Algorithm.md
index 1d1621b4..fd7afccf 100644
--- a/10_Wiki/Topics/Frontend/Diffing Algorithm.md	
+++ b/10_Wiki/Topics/Frontend/Diffing Algorithm.md	
@@ -129,7 +129,7 @@ return <div>count: {count()}</div>;
 **기본값**: 매 React 19 + Suspense + Transition + 매 stable key.
 
 ## 🔗 Graph
-- 부모: [[Virtual_DOM과_Reconciliation|Virtual DOM]] · [[Reconciliation]]
+- 부모: [[Virtual DOM과 Reconciliation|Virtual DOM]] · [[Reconciliation]]
 - 변형: [[React Fiber]] · [[Vue Reactivity]]
 - 응용: [[Animation]]
 
diff --git a/10_Wiki/Topics/Frontend/Draw Call Optimization.md b/10_Wiki/Topics/Frontend/Draw Call Optimization.md
index bab1eea9..2d66791a 100644
--- a/10_Wiki/Topics/Frontend/Draw Call Optimization.md	
+++ b/10_Wiki/Topics/Frontend/Draw Call Optimization.md	
@@ -183,7 +183,7 @@ fn cullCS(@builtin(global_invocation_id) gid: vec3u) {
 ## 🔗 Graph
 - 부모: [[GPU Pipeline]] · [[Real-Time Rendering]]
 - 변형: [[Instancing]] · [[Batching]] · [[Indirect Draw]]
-- Adjacent: [[Texture Atlas]] · [[GPU Driven Rendering]] · [[Frustum Culling]]
+- Adjacent: [[Texture Atlas]] · [[GPU-driven Rendering]] · [[Frustum Culling]]
 
 ## 🤖 LLM 활용
 **언제**: 의 frame time 의 의 CPU-bound 의 (draw call > 1000), GPU-driven culling, atlas 설계.
diff --git a/10_Wiki/Topics/Frontend/Error Boundaries.md b/10_Wiki/Topics/Frontend/Error Boundaries.md
index bdea2546..a23eb379 100644
--- a/10_Wiki/Topics/Frontend/Error Boundaries.md	
+++ b/10_Wiki/Topics/Frontend/Error Boundaries.md	
@@ -189,7 +189,7 @@ const SentryBoundary = Sentry.withErrorBoundary(MyApp, {
 
 ## 🔗 Graph
 - 부모: [[React]] · [[Error Handling]]
-- 변형: [[Suspense]] · [[react-error-boundary]]
+- 변형: [[Suspense]] · [[React Error Boundary 패턴]]
 - Adjacent: [[Discriminated Unions for Error Handling]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Frontend/Functional-Programming-in-TypeScript.md b/10_Wiki/Topics/Frontend/Functional-Programming-in-TypeScript.md
index aae7af87..d3465dd6 100644
--- a/10_Wiki/Topics/Frontend/Functional-Programming-in-TypeScript.md
+++ b/10_Wiki/Topics/Frontend/Functional-Programming-in-TypeScript.md
@@ -164,7 +164,7 @@ const area = (sh: Shape): number => {
 
 ## 🔗 Graph
 - 부모: [[TypeScript]] · [[Functional Programming]]
-- 변형: [[Effect-TS]] · [[fp-ts]]
+- 변형: [[Effect TS]] · [[fp-ts]]
 - 응용: [[Validation]] · [[API Client]] · [[State Management]]
 - Adjacent: [[Zod]]
 
diff --git a/10_Wiki/Topics/Frontend/Hydration & Progressive Rendering.md b/10_Wiki/Topics/Frontend/Hydration & Progressive Rendering.md
index 6aa7d09d..a911bf2c 100644
--- a/10_Wiki/Topics/Frontend/Hydration & Progressive Rendering.md	
+++ b/10_Wiki/Topics/Frontend/Hydration & Progressive Rendering.md	
@@ -25,7 +25,7 @@ github_commit: pending
 
 ## 🔗 Graph
 - 부모: [[Hydration]] (canonical)
-- Adjacent: [[Streaming-SSR]] · [[React-Server-Components]]
+- Adjacent: [[Streaming SSR]] · [[React Server Components — 경계 의식]]
 
 ## 🕓 변경 이력
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/Frontend/JSI (JavaScript Interface).md b/10_Wiki/Topics/Frontend/JSI (JavaScript Interface).md
index b7dfae28..f707228c 100644
--- a/10_Wiki/Topics/Frontend/JSI (JavaScript Interface).md	
+++ b/10_Wiki/Topics/Frontend/JSI (JavaScript Interface).md	
@@ -174,10 +174,10 @@ export default codegenNativeComponent<NativeProps>('MyView');
 **기본값**: New Architecture, TurboModules, Reanimated 3.
 
 ## 🔗 Graph
-- 부모: [[React-Native]] · [[Hermes]]
+- 부모: [[React Native]] · [[Hermes]]
 - 변형: [[Fabric]] · [[TurboModules]]
 - 응용: [[MMKV]]
-- Adjacent: [[New-Architecture]]
+- Adjacent: [[New Architecture (React Native Fabric/TurboModules)]]
 
 ## 🤖 LLM 활용
 **언제**: RN 의 native module 작성, performance bottleneck 진단, sync API 필요.
diff --git a/10_Wiki/Topics/Frontend/JavaScript-Optimization-Patterns.md b/10_Wiki/Topics/Frontend/JavaScript-Optimization-Patterns.md
index cfaf785a..bc07da18 100644
--- a/10_Wiki/Topics/Frontend/JavaScript-Optimization-Patterns.md
+++ b/10_Wiki/Topics/Frontend/JavaScript-Optimization-Patterns.md
@@ -201,7 +201,7 @@ for (const v of filter(map(range(0, 1e9), x => x * 2), x => x % 3 === 0)) {
 - 부모: [[JavaScript]] · [[V8]]
 - 변형: [[JSC]]
 - 응용: [[Web Worker (웹 워커)|Web-Workers]] · [[Animation-Performance]]
-- Adjacent: [[Garbage-Collection]]
+- Adjacent: [[Garbage Collection]]
 
 ## 🤖 LLM 활용
 **언제**: 매 measurable bottleneck 진단 후, hot loop 작성, large data transform.
diff --git a/10_Wiki/Topics/Frontend/Judgment.md b/10_Wiki/Topics/Frontend/Judgment.md
index 6acb3255..c0c78393 100644
--- a/10_Wiki/Topics/Frontend/Judgment.md
+++ b/10_Wiki/Topics/Frontend/Judgment.md
@@ -131,7 +131,7 @@ function Page() {
 ## 🔗 Graph
 - 변형: [[ADR]]
 - 응용: [[Large_Frontend_Projects|Frontend Architecture]]
-- Adjacent: [[Core Web Vitals Optimization (INP, LCP 개선)|Core Web Vitals]] · [[Accessibility (A11y)|Accessibility]] · [[DX]]
+- Adjacent: [[Core Web Vitals Optimization (INP, LCP, CLS)|Core Web Vitals]] · [[Accessibility (A11y)|Accessibility]] · [[DX]]
 
 ## 🤖 LLM 활용
 **언제**: 매 framework / library 선택 시, 매 RFC 작성, 매 trade-off 명시화.
diff --git a/10_Wiki/Topics/Frontend/Memory-Leak-Debugging-in-JavaScript.md b/10_Wiki/Topics/Frontend/Memory-Leak-Debugging-in-JavaScript.md
index 9917a9ad..c23e0d35 100644
--- a/10_Wiki/Topics/Frontend/Memory-Leak-Debugging-in-JavaScript.md
+++ b/10_Wiki/Topics/Frontend/Memory-Leak-Debugging-in-JavaScript.md
@@ -184,8 +184,8 @@ console.log(`Snapshot: ${path}`);
 **기본값**: 매 Heap Snapshot 3-snapshot diff — 매 retainer chain 매 따라 root 매 식별.
 
 ## 🔗 Graph
-- 부모: [[Garbage-Collection]]
-- Adjacent: [[Chrome-DevTools]] · [[AbortController]]
+- 부모: [[Garbage Collection]]
+- Adjacent: [[Chrome DevTools]] · [[AbortController]]
 
 ## 🤖 LLM 활용
 **언제**: 매 SPA/long-running app 의 메모리 증가, 매 unmount 후 referent 잔존, 매 production memory metrics 의 anomaly.
diff --git a/10_Wiki/Topics/Frontend/Micro-frontends.md b/10_Wiki/Topics/Frontend/Micro-frontends.md
index 5413d914..0f2caabd 100644
--- a/10_Wiki/Topics/Frontend/Micro-frontends.md
+++ b/10_Wiki/Topics/Frontend/Micro-frontends.md
@@ -236,7 +236,7 @@ channel.onmessage = ({ data }) => {
 **기본값**: 매 React/Vue 균일 stack 매 Module Federation, 매 framework 혼재 매 Single-SPA + Web Components.
 
 ## 🔗 Graph
-- 부모: [[프론트엔드_및_UIUX_표준|Frontend-Architecture]] · [[Microservices]]
+- 부모: [[프론트엔드 및 UIUX 표준|Frontend-Architecture]] · [[Microservices]]
 - 변형: [[Module-Federation]] · [[Web-Components]]
 - Adjacent: [[Monorepo]] · [[Vite]]
 
diff --git a/10_Wiki/Topics/Frontend/Nextjs_Framework.md b/10_Wiki/Topics/Frontend/Nextjs_Framework.md
index 54301fc6..6d8dcf81 100644
--- a/10_Wiki/Topics/Frontend/Nextjs_Framework.md
+++ b/10_Wiki/Topics/Frontend/Nextjs_Framework.md
@@ -177,7 +177,7 @@ import Image from "next/image";
 ## 🔗 Graph
 - 부모: [[React]]
 - 변형: [[Remix]] · [[Astro]] · [[SvelteKit]]
-- Adjacent: [[React Server Components]] · [[Turbopack]] · [[Edge Runtime]]
+- Adjacent: [[React Server Components — 경계 의식]] · [[Turbopack]] · [[Edge Runtime]]
 
 ## 🤖 LLM 활용
 **언제**: App Router migration, RSC 설계, Server Action 구현, PPR 적용.
diff --git a/10_Wiki/Topics/Frontend/Nominal-Typing-in-TypeScript.md b/10_Wiki/Topics/Frontend/Nominal-Typing-in-TypeScript.md
index 3608b0df..b67c4113 100644
--- a/10_Wiki/Topics/Frontend/Nominal-Typing-in-TypeScript.md
+++ b/10_Wiki/Topics/Frontend/Nominal-Typing-in-TypeScript.md
@@ -215,7 +215,7 @@ function fromJson(j: UserJson): User {
 - 부모: [[TypeScript]] · [[TypeScript 타입 시스템 (TypeScript Type System)|Type-System]]
 - 변형: [[Branded-Types]] · [[Opaque-Types]]
 - 응용: [[Domain-Driven-Design]] · [[Value-Object]] · [[Refinement-Type]]
-- Adjacent: [[Effect-TS]] · [[Zod]] · [[Type-Safety]] · [[Smart-Constructor]]
+- Adjacent: [[Effect TS]] · [[Zod]] · [[Type-Safety]] · [[Smart-Constructor]]
 
 ## 🤖 LLM 활용
 **언제**: 매 ID/string mix-up 매 bug surface 자주, 매 unit/currency 혼동 risk, 매 sanitized vs raw 매 boundary 강제, 매 DDD value object 매 lightweight 표현.
diff --git a/10_Wiki/Topics/Frontend/One-way_Data_Flow.md b/10_Wiki/Topics/Frontend/One-way_Data_Flow.md
index 35f65100..b508b4a3 100644
--- a/10_Wiki/Topics/Frontend/One-way_Data_Flow.md
+++ b/10_Wiki/Topics/Frontend/One-way_Data_Flow.md
@@ -176,8 +176,8 @@ function BadChild({ obj }: { obj: { count: number } }) {
 
 ## 🔗 Graph
 - 부모: [[React]]
-- 변형: [[프론트엔드_및_UIUX_표준|Redux]] · [[Zustand]] · [[Pinia]]
-- 응용: [[useReducer]] · [[Event-Sourcing]]
+- 변형: [[프론트엔드 및 UIUX 표준|Redux]] · [[Zustand]] · [[Pinia]]
+- 응용: [[useReducer]] · [[Event Sourcing]]
 - Adjacent: [[Reactive-Streams]] · [[Signals]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Frontend/Opaque-Types.md b/10_Wiki/Topics/Frontend/Opaque-Types.md
index b2affb00..8ca07205 100644
--- a/10_Wiki/Topics/Frontend/Opaque-Types.md
+++ b/10_Wiki/Topics/Frontend/Opaque-Types.md
@@ -134,8 +134,8 @@ const parsed = EmailSchema.parse(input); // Email
 ## 🔗 Graph
 - 부모: [[TypeScript-Type-System]]
 - 변형: [[Branded-Types]]
-- 응용: [[Parse-Dont-Validate]]
-- Adjacent: [[API 응답 및 상태 모델링 (State Modeling and API Responses)|Discriminated-Unions]]
+- 응용: [[Parse, Don't Validate]]
+- Adjacent: [[API Response & State Modeling|Discriminated-Unions]]
 
 ## 🤖 LLM 활용
 **언제**: ID 매 mix 위험 / unit 매 confusion / validated string 의 boundary protection.
diff --git a/10_Wiki/Topics/Frontend/Open-Closed Principle (OCP).md b/10_Wiki/Topics/Frontend/Open-Closed Principle (OCP).md
index 9743f1cc..3cf45e1d 100644
--- a/10_Wiki/Topics/Frontend/Open-Closed Principle (OCP).md	
+++ b/10_Wiki/Topics/Frontend/Open-Closed Principle (OCP).md	
@@ -161,9 +161,9 @@ const app = compose<{ req: Request; res?: Response }>([
 **기본값**: 매 second variation 발견 시 abstract — 매 first time 의 over-abstraction X.
 
 ## 🔗 Graph
-- 부모: [[SOLID-Principles]] · [[Design-Principles]]
+- 부모: [[SOLID Principles]] · [[Design-Principles]]
 - 변형: [[Visitor-Pattern]]
-- 응용: [[Middleware]] · [[API 응답 및 상태 모델링 (State Modeling and API Responses)|Discriminated-Unions]] · [[Dependency_Injection_(DI)|Dependency-Injection]]
+- 응용: [[Middleware]] · [[API Response & State Modeling|Discriminated-Unions]] · [[Dependency_Injection_(DI)|Dependency-Injection]]
 - Adjacent: [[DIP]] · [[Composition-over-Inheritance]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Frontend/Pinia.md b/10_Wiki/Topics/Frontend/Pinia.md
index 27360e80..759ea3c5 100644
--- a/10_Wiki/Topics/Frontend/Pinia.md
+++ b/10_Wiki/Topics/Frontend/Pinia.md
@@ -202,8 +202,8 @@ test('counter increments', () => {
 **기본값**: 매 setup store + TypeScript + storeToRefs.
 
 ## 🔗 Graph
-- 부모: [[State-Management]]
-- 변형: [[Vuex]] (predecessor) · [[프론트엔드_및_UIUX_표준|Redux]] · [[Zustand]] · [[Jotai]]
+- 부모: [[State Management]]
+- 변형: [[Vuex]] (predecessor) · [[프론트엔드 및 UIUX 표준|Redux]] · [[Zustand]] · [[Jotai]]
 - 응용: [[Nuxt]]
 - Adjacent: [[Composition-API]]
 
diff --git a/10_Wiki/Topics/Frontend/Principles.md b/10_Wiki/Topics/Frontend/Principles.md
index b3790fcd..a1b3c07f 100644
--- a/10_Wiki/Topics/Frontend/Principles.md
+++ b/10_Wiki/Topics/Frontend/Principles.md
@@ -227,9 +227,9 @@ function parse(s: string): Result<unknown, Error> {
 **기본값**: 매 SOLID + 매 KISS + 매 YAGNI — 매 over-abstraction 매 함정 매 회피.
 
 ## 🔗 Graph
-- 변형: [[SOLID]] · [[Clean-Architecture]] · [[Hexagonal-Architecture]]
+- 변형: [[SOLID]] · [[Clean-Architecture]] · [[Hexagonal Architecture]]
 - 응용: [[Code-Review]] · [[Refactoring_Best_Practices|Refactoring]] · [[Architecture-Decision-Record]]
-- Adjacent: [[Design-Patterns]] · [[Domain-Driven-Design]] · [[Test-Driven-Development]]
+- Adjacent: [[Design-Patterns]] · [[Domain-Driven-Design]] · [[Test-Driven Development]]
 
 ## 🤖 LLM 활용
 **언제**: 매 design review, 매 refactor planning, 매 principle violation 매 식별, 매 mentoring/teaching context.
diff --git a/10_Wiki/Topics/Frontend/Probabilistic-Graphical-Models.md b/10_Wiki/Topics/Frontend/Probabilistic-Graphical-Models.md
index 8fb54638..ae41f11d 100644
--- a/10_Wiki/Topics/Frontend/Probabilistic-Graphical-Models.md
+++ b/10_Wiki/Topics/Frontend/Probabilistic-Graphical-Models.md
@@ -140,9 +140,9 @@ for step in range(1000):
 **기본값**: 매 small problem → pgmpy. 매 large continuous → NumPyro NUTS.
 
 ## 🔗 Graph
-- 부모: [[Probability_Theory]] · [[Graph_Theory]]
+- 부모: [[Probability Theory]] · [[Graph_Theory]]
 - 변형: [[Bayesian_Network]] · [[Markov_Random_Field]]
-- 응용: [[Image_Segmentation]] · [[Causal_Inference]]
+- 응용: [[Image Segmentation]] · [[Causal Inference]]
 - Adjacent: [[Hidden_Markov_Model]] · [[Variational_Inference]] · [[MCMC]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Frontend/React_Native_Web_-_Desktop.md b/10_Wiki/Topics/Frontend/React_Native_Web_-_Desktop.md
index d24aeee5..b79c5594 100644
--- a/10_Wiki/Topics/Frontend/React_Native_Web_-_Desktop.md
+++ b/10_Wiki/Topics/Frontend/React_Native_Web_-_Desktop.md
@@ -178,8 +178,8 @@ module.exports = withExpo({
 **기본값**: Expo Router + Tamagui — 매 mobile-first, desktop 매 responsive breakpoint.
 
 ## 🔗 Graph
-- 부모: [[React-Native]]
-- 변형: [[Expo-Router]]
+- 부모: [[React Native]]
+- 변형: [[Expo Router]]
 - 응용: [[Universal-App]]
 - Adjacent: [[Tauri]] · [[Electron]]
 
diff --git a/10_Wiki/Topics/Frontend/Readonly Type.md b/10_Wiki/Topics/Frontend/Readonly Type.md
index 520080c3..63f25945 100644
--- a/10_Wiki/Topics/Frontend/Readonly Type.md	
+++ b/10_Wiki/Topics/Frontend/Readonly Type.md	
@@ -150,8 +150,8 @@ const config = freeze({ apiUrl: '/api' });
 ## 🔗 Graph
 - 부모: [[TypeScript]]
 - 변형: [[const_assertion]]
-- 응용: [[프론트엔드_및_UIUX_표준|Redux]]
-- Adjacent: [[satisfies_operator]]
+- 응용: [[프론트엔드 및 UIUX 표준|Redux]]
+- Adjacent: [[Satisfies Operator]]
 
 ## 🤖 LLM 활용
 **언제**: API response type, function param (mutation 의도 차단), config object (`as const`), Redux state.
diff --git a/10_Wiki/Topics/Frontend/Rollup.md b/10_Wiki/Topics/Frontend/Rollup.md
index afc7148a..61844cc3 100644
--- a/10_Wiki/Topics/Frontend/Rollup.md
+++ b/10_Wiki/Topics/Frontend/Rollup.md
@@ -166,7 +166,7 @@ export default {
 
 ## 🔗 Graph
 - 변형: [[Vite]] · [[tsup]]
-- 응용: [[Component-Library-Architecture]]
+- 응용: [[Component Library Architecture]]
 - Adjacent: [[ESM]] · [[esbuild]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Frontend/SCSS (Sass).md b/10_Wiki/Topics/Frontend/SCSS (Sass).md
index 7f504523..f4fcd620 100644
--- a/10_Wiki/Topics/Frontend/SCSS (Sass).md	
+++ b/10_Wiki/Topics/Frontend/SCSS (Sass).md	
@@ -180,7 +180,7 @@ export default defineConfig({
 
 ## 🔗 Graph
 - 응용: [[Material_Design]] · [[Design_System]]
-- Adjacent: [[Tailwind_CSS]] · [[CSS_Modules]] · [[vanilla-extract]]
+- Adjacent: [[Tailwind CSS]] · [[CSS Modules]] · [[vanilla-extract]]
 
 ## 🤖 LLM 활용
 **언제**: 매 large design system, theme variable, legacy Bootstrap project.
diff --git a/10_Wiki/Topics/Frontend/SEO 중심의 마케팅 및 블로그 사이트 구축.md b/10_Wiki/Topics/Frontend/SEO 중심의 마케팅 및 블로그 사이트 구축.md
index 7e54ab2f..04fde1c9 100644
--- a/10_Wiki/Topics/Frontend/SEO 중심의 마케팅 및 블로그 사이트 구축.md	
+++ b/10_Wiki/Topics/Frontend/SEO 중심의 마케팅 및 블로그 사이트 구축.md	
@@ -199,9 +199,9 @@ onCLS(send);
 **기본값**: Astro + MDX + Vercel/Netlify deploy + Sanity/Contentlayer (if CMS needed).
 
 ## 🔗 Graph
-- 부모: [[SEO]] · [[프론트엔드_및_UIUX_표준|Frontend-Architecture]]
+- 부모: [[SEO]] · [[프론트엔드 및 UIUX 표준|Frontend-Architecture]]
 - 응용: [[Astro]] · [[MDX]]
-- Adjacent: [[Core Web Vitals Optimization (INP, LCP 개선)|Core-Web-Vitals]]
+- Adjacent: [[Core Web Vitals Optimization (INP, LCP, CLS)|Core-Web-Vitals]]
 
 ## 🤖 LLM 활용
 **언제**: marketing site, blog, docs, public-facing SEO-critical content, GEO optimization.
diff --git a/10_Wiki/Topics/Frontend/SPA (Single Page Application).md b/10_Wiki/Topics/Frontend/SPA (Single Page Application).md
index 99820a31..d00599c8 100644
--- a/10_Wiki/Topics/Frontend/SPA (Single Page Application).md	
+++ b/10_Wiki/Topics/Frontend/SPA (Single Page Application).md	
@@ -175,9 +175,9 @@ export default {
 **기본값**: 2026 의 default 는 **Next.js / Remix (SSR + RSC)** — pure SPA 는 internal tools / authenticated apps 의 으로 의 reserve.
 
 ## 🔗 Graph
-- 부모: [[프론트엔드_및_UIUX_표준|Frontend-Architecture]]
-- 변형: [[SSR]] · [[SSG]] · [[Islands-Architecture]] · [[React-Server-Components]]
-- Adjacent: [[Vite]] · [[Code-Splitting]]
+- 부모: [[프론트엔드 및 UIUX 표준|Frontend-Architecture]]
+- 변형: [[SSR]] · [[SSG]] · [[Islands-Architecture]] · [[React Server Components — 경계 의식]]
+- Adjacent: [[Vite]] · [[Code Splitting]]
 
 ## 🤖 LLM 활용
 **언제**: highly-interactive authenticated app, no SEO requirement, complex client state, real-time collaboration.
diff --git a/10_Wiki/Topics/Frontend/SaaS 대시보드 및 이커머스 레이아웃 구축.md b/10_Wiki/Topics/Frontend/SaaS 대시보드 및 이커머스 레이아웃 구축.md
index a0e2d916..d98dcb2f 100644
--- a/10_Wiki/Topics/Frontend/SaaS 대시보드 및 이커머스 레이아웃 구축.md	
+++ b/10_Wiki/Topics/Frontend/SaaS 대시보드 및 이커머스 레이아웃 구축.md	
@@ -214,7 +214,7 @@ export async function addToCart(productId: string, qty: number) {
 **기본값**: 매 SaaS 매 Next.js + shadcn-ui + Tailwind v4. 매 Ecommerce 매 Next.js Commerce 템플릿 fork.
 
 ## 🔗 Graph
-- 부모: [[Frontend_Architecture]]
+- 부모: [[Frontend Architecture]]
 - Adjacent: [[Next.js]] · [[Tailwind_v4]] · [[shadcn-ui]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Frontend/Scripts.md b/10_Wiki/Topics/Frontend/Scripts.md
index 805527e1..560c084b 100644
--- a/10_Wiki/Topics/Frontend/Scripts.md
+++ b/10_Wiki/Topics/Frontend/Scripts.md
@@ -177,7 +177,7 @@ echo`매 deleted ${branches.length} merged branches`;
 **기본값**: npm scripts + tsx for TS + concurrently for parallel. 매 monorepo 면 turbo.
 
 ## 🔗 Graph
-- 부모: [[Node.js]]
+- 부모: [[Nodejs]]
 - 변형: [[Task]] · [[Turbo]] · [[Nx]]
 - 응용: [[Husky Git Hooks]]
 - Adjacent: [[tsx]] · [[bun]]
diff --git a/10_Wiki/Topics/Frontend/Server Side Rendering (SSR).md b/10_Wiki/Topics/Frontend/Server Side Rendering (SSR).md
index aa9bdb69..e4cbd9be 100644
--- a/10_Wiki/Topics/Frontend/Server Side Rendering (SSR).md	
+++ b/10_Wiki/Topics/Frontend/Server Side Rendering (SSR).md	
@@ -203,7 +203,7 @@ export default async function Page() {
 - 부모: [[Rendering Strategies]] · [[Web Performance]]
 - 변형: [[CSR]] · [[SSG]] · [[ISR]] · [[Streaming SSR]]
 - 응용: [[Remix]] · [[SvelteKit]] · [[Nuxt]]
-- Adjacent: [[React Server Components]] · [[Hydration]] · [[Suspense]]
+- Adjacent: [[React Server Components — 경계 의식]] · [[Hydration]] · [[Suspense]]
 
 ## 🤖 LLM 활용
 **언제**: rendering strategy 결정, SEO + first paint 최적화, RSC + Suspense 설계.
diff --git a/10_Wiki/Topics/Frontend/Spectre.md b/10_Wiki/Topics/Frontend/Spectre.md
index c0ad559e..22e5986f 100644
--- a/10_Wiki/Topics/Frontend/Spectre.md
+++ b/10_Wiki/Topics/Frontend/Spectre.md
@@ -155,7 +155,7 @@ performance.now(); // 1234.1 (was 1234.123456)
 **기본값**: hardware mitigation (eIBRS, IBPB, BHI_DIS_S) on by default + retpoline + array_index_nospec on hot paths.
 
 ## 🔗 Graph
-- 부모: [[Side Channel Attack]]
+- 부모: [[Side-channel Attack]]
 - 변형: [[Spectre|Spectre and Meltdown]]
 - 응용: [[Speculative Execution]]
 - Adjacent: [[Cache Timing Attack]] · [[Timing Attack]]
diff --git a/10_Wiki/Topics/Frontend/State Management Libraries.md b/10_Wiki/Topics/Frontend/State Management Libraries.md
index a094cbc1..beb94d83 100644
--- a/10_Wiki/Topics/Frontend/State Management Libraries.md	
+++ b/10_Wiki/Topics/Frontend/State Management Libraries.md	
@@ -225,7 +225,7 @@ const unsub = useStore.subscribe(
 ## 🔗 Graph
 - 부모: [[React]] · [[Large_Frontend_Projects|Frontend Architecture]]
 - 변형: [[Zustand]] · [[Jotai]] · [[Valtio]] · [[Redux Toolkit]] · [[MobX]] · [[Recoil]]
-- Adjacent: [[React Server Components]]
+- Adjacent: [[React Server Components — 경계 의식]]
 
 ## 🤖 LLM 활용
 **언제**: client-only state design, store shape 결정, library 선택. 매 SPA 의 boundary.
diff --git a/10_Wiki/Topics/Frontend/Style Registry.md b/10_Wiki/Topics/Frontend/Style Registry.md
index 4fdf5e4e..c2b2b4fd 100644
--- a/10_Wiki/Topics/Frontend/Style Registry.md	
+++ b/10_Wiki/Topics/Frontend/Style Registry.md	
@@ -223,7 +223,7 @@ export default class MyDocument extends Document {
 - 부모: [[CSS in JS]] · [[SSR]]
 - 변형: [[useServerInsertedHTML]]
 - 응용: [[Styled Components v6]]
-- Adjacent: [[Streaming SSR]] · [[React Server Components]] · [[Hydration]]
+- Adjacent: [[Streaming SSR]] · [[React Server Components — 경계 의식]] · [[Hydration]]
 
 ## 🤖 LLM 활용
 **언제**: SSR setup for CSS-in-JS, Next.js App Router migration from Pages, debugging FOUC / hydration mismatch.
diff --git a/10_Wiki/Topics/Frontend/Styled Components v6.md b/10_Wiki/Topics/Frontend/Styled Components v6.md
index 072f254c..3dc70cd8 100644
--- a/10_Wiki/Topics/Frontend/Styled Components v6.md	
+++ b/10_Wiki/Topics/Frontend/Styled Components v6.md	
@@ -191,7 +191,7 @@ const Button = styled.button<{ $variant: keyof typeof variants }>`
 
 ## 🔗 Graph
 - 부모: [[CSS in JS]]
-- 변형: [[Vanilla Extract]]
+- 변형: [[vanilla-extract]]
 - 응용: [[Style Registry]] · [[Design Tokens]] · [[Theming]]
 - Adjacent: [[CSS_Architecture_and_Styling|Tailwind CSS]] · [[Panda CSS]] · [[Modern_Web_Rendering_and_Optimization|Server Components]]
 
diff --git a/10_Wiki/Topics/Frontend/Threejs WebGPU 파티클 예제.md b/10_Wiki/Topics/Frontend/Threejs WebGPU 파티클 예제.md
index e7390bac..12cfa6d1 100644
--- a/10_Wiki/Topics/Frontend/Threejs WebGPU 파티클 예제.md	
+++ b/10_Wiki/Topics/Frontend/Threejs WebGPU 파티클 예제.md	
@@ -143,7 +143,7 @@ const renderer = WebGPU.isAvailable()
 
 ## 🔗 Graph
 - 부모: [[Three.js]] · [[WebGPU]]
-- 변형: [[GPGPU]] · [[TSL Three Shader Language]]
+- 변형: [[GPGPU]] · [[TSL (Three Shader Language)]]
 - 응용: [[Particle System]]
 - Adjacent: [[Compute Shader]] · [[Instanced Rendering]]
 
diff --git a/10_Wiki/Topics/Frontend/Timing Attack.md b/10_Wiki/Topics/Frontend/Timing Attack.md
index d84fb2f3..3c49a395 100644
--- a/10_Wiki/Topics/Frontend/Timing Attack.md	
+++ b/10_Wiki/Topics/Frontend/Timing Attack.md	
@@ -167,7 +167,7 @@ Mitigation:
 **기본값**: never write your own crypto compare. Use language stdlib `timingSafeEqual` / `compare_digest` / `subtle.ConstantTimeCompare`.
 
 ## 🔗 Graph
-- 부모: [[Side Channel Attack]] · [[Practical-Cryptography|Cryptography]]
+- 부모: [[Side-channel Attack]] · [[Practical-Cryptography|Cryptography]]
 - 변형: [[Spectre]] · [[Cache Timing Attack]] · [[Power Analysis]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Frontend/V8 JavaScript Engine.md b/10_Wiki/Topics/Frontend/V8 JavaScript Engine.md
index 820a7a20..588e483d 100644
--- a/10_Wiki/Topics/Frontend/V8 JavaScript Engine.md	
+++ b/10_Wiki/Topics/Frontend/V8 JavaScript Engine.md	
@@ -104,7 +104,7 @@ node -p "process.config.variables.v8_enable_pointer_compression"
 ## 🔗 Graph
 - 부모: [[JavaScript]]
 - 변형: [[JavaScriptCore]] · [[Hermes]]
-- 응용: [[Node.js]] · [[Deno]] · [[Chrome]] · [[Electron]]
+- 응용: [[Nodejs]] · [[Deno]] · [[Chrome]] · [[Electron]]
 - Adjacent: [[JIT Compilation]] · [[Garbage Collection]] · [[Inline Cache]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Frontend/WebGL 20.md b/10_Wiki/Topics/Frontend/WebGL 20.md
index 1a91e11d..808f56b6 100644
--- a/10_Wiki/Topics/Frontend/WebGL 20.md	
+++ b/10_Wiki/Topics/Frontend/WebGL 20.md	
@@ -117,7 +117,7 @@ gl.texImage3D(gl.TEXTURE_3D, 0, gl.R8, w, h, d, 0, gl.RED, gl.UNSIGNED_BYTE, dat
 ## 🔗 Graph
 - 부모: [[WebGL]] · [[OpenGL ES]]
 - 변형: [[WebGPU]]
-- 응용: [[Three.js]] · [[Babylon.js]] · [[CesiumJS]]
+- 응용: [[Three.js]] · [[Babylonjs]] · [[CesiumJS]]
 - Adjacent: [[WEBGL_multi_draw]] · [[GLSL]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Frontend/WebGL API.md b/10_Wiki/Topics/Frontend/WebGL API.md
index e4b09d0d..d23ed9f4 100644
--- a/10_Wiki/Topics/Frontend/WebGL API.md	
+++ b/10_Wiki/Topics/Frontend/WebGL API.md	
@@ -151,7 +151,7 @@ canvas.addEventListener('webglcontextrestored', () => { rebuildResources(); });
 ## 🔗 Graph
 - 부모: [[OpenGL ES]]
 - 변형: [[WebGPU]]
-- 응용: [[Threejs]] · [[Babylon.js]]
+- 응용: [[Threejs]] · [[Babylonjs]]
 - Adjacent: [[GLSL]] · [[OffscreenCanvas]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Frontend/Wonder.md b/10_Wiki/Topics/Frontend/Wonder.md
index e7125bda..aed5a663 100644
--- a/10_Wiki/Topics/Frontend/Wonder.md
+++ b/10_Wiki/Topics/Frontend/Wonder.md
@@ -134,7 +134,7 @@ for (const node of assets.nodes) {
 
 ## 🔗 Graph
 - 부모: [[ECS]]
-- 변형: [[Threejs]] · [[Babylon.js]] · [[Wonderland Engine]]
+- 변형: [[Threejs]] · [[Babylonjs]] · [[Wonderland Engine]]
 - 응용: [[bitECS]]
 - Adjacent: [[WebGL API]] · [[WebGPU]]
 
diff --git a/10_Wiki/Topics/Frontend/Wonderland Engine.md b/10_Wiki/Topics/Frontend/Wonderland Engine.md
index b9a235b9..51c700a6 100644
--- a/10_Wiki/Topics/Frontend/Wonderland Engine.md	
+++ b/10_Wiki/Topics/Frontend/Wonderland Engine.md	
@@ -166,7 +166,7 @@ client.sendState({ pos: this.object.getPositionWorld() });
 
 ## 🔗 Graph
 - 부모: [[WebXR]]
-- 변형: [[Threejs]] · [[Babylon.js]] · [[Wonder]]
+- 변형: [[Threejs]] · [[Babylonjs]] · [[Wonder]]
 - Adjacent: [[WebAssembly]] · [[WebGL API]] · [[WebGPU]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Frontend/Zero-Runtime CSS-in-JS.md b/10_Wiki/Topics/Frontend/Zero-Runtime CSS-in-JS.md
index 6e3b2f6d..11bfabed 100644
--- a/10_Wiki/Topics/Frontend/Zero-Runtime CSS-in-JS.md	
+++ b/10_Wiki/Topics/Frontend/Zero-Runtime CSS-in-JS.md	
@@ -209,7 +209,7 @@ const Button = ({ size, ...rest }) => <button className={button({ size })} {...r
 ## 🔗 Graph
 - 부모: [[CSS_Architecture_and_Styling|CSS-in-JS]]
 - 변형: [[vanilla-extract]] · [[Panda CSS]]
-- 응용: [[Design System]] · [[React Server Components]]
+- 응용: [[Design System]] · [[React Server Components — 경계 의식]]
 - Adjacent: [[CSS_Architecture_and_Styling|Tailwind CSS]] · [[CSS Modules]] · [[Styled_Components|styled-components]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Frontend/startTransition.md b/10_Wiki/Topics/Frontend/startTransition.md
index 0637ae55..90723726 100644
--- a/10_Wiki/Topics/Frontend/startTransition.md
+++ b/10_Wiki/Topics/Frontend/startTransition.md
@@ -200,7 +200,7 @@ flushSync(() => setUrgent(true));
 - 부모: [[React]] · [[Concurrent React]]
 - 변형: [[useTransition]] · [[useDeferredValue]] · [[Suspense]]
 - 응용: [[Search]]
-- Adjacent: [[flushSync]] · [[Automatic Batching]] · [[React Server Components]]
+- Adjacent: [[flushSync]] · [[Automatic Batching]] · [[React Server Components — 경계 의식]]
 
 ## 🤖 LLM 활용
 **언제**: 매 input + heavy filter, tab switch, route change with data fetch, async form submit (React 19+) 의.
diff --git a/10_Wiki/Topics/Frontend/vanilla-extract.md b/10_Wiki/Topics/Frontend/vanilla-extract.md
index e4dac8a6..8fd2e939 100644
--- a/10_Wiki/Topics/Frontend/vanilla-extract.md
+++ b/10_Wiki/Topics/Frontend/vanilla-extract.md
@@ -267,7 +267,7 @@ export default function RootLayout({ children }) {
 ## 🔗 Graph
 - 부모: [[CSS_Architecture_and_Styling|CSS-in-JS]] · [[Zero-Runtime CSS-in-JS]]
 - 변형: [[Panda CSS]] · [[CSS Modules]]
-- 응용: [[Design System]] · [[React Server Components]]
+- 응용: [[Design System]] · [[React Server Components — 경계 의식]]
 - Adjacent: [[CVA]] · [[CSS_Architecture_and_Styling|Tailwind CSS]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Frontend/다크 모드 및 다중 브랜드 테마 동적 전환 시스템.md b/10_Wiki/Topics/Frontend/다크 모드 및 다중 브랜드 테마 동적 전환 시스템.md
index 253f417b..90db9a5f 100644
--- a/10_Wiki/Topics/Frontend/다크 모드 및 다중 브랜드 테마 동적 전환 시스템.md	
+++ b/10_Wiki/Topics/Frontend/다크 모드 및 다중 브랜드 테마 동적 전환 시스템.md	
@@ -219,9 +219,9 @@ export default async function Layout({ children }) {
 **기본값**: CSS `light-dark()` + `data-theme` + `data-brand` + cookie SSR + next-themes.
 
 ## 🔗 Graph
-- 부모: [[Design_Systems]] · [[CSS_Variables]]
+- 부모: [[Design_Systems]] · [[CSS Variables]]
 - 변형: [[Design_Tokens]]
-- 응용: [[Tailwind_v4]] · [[Styled_Components_v6]] · [[CSS_Modules]]
+- 응용: [[Tailwind_v4]] · [[Styled Components v6]] · [[CSS Modules]]
 - Adjacent: [[View_Transitions_API]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Frontend/단일 진실 공급원(Single Source of Truth).md b/10_Wiki/Topics/Frontend/단일 진실 공급원(Single Source of Truth).md
index ac69f32e..24a6cd90 100644
--- a/10_Wiki/Topics/Frontend/단일 진실 공급원(Single Source of Truth).md	
+++ b/10_Wiki/Topics/Frontend/단일 진실 공급원(Single Source of Truth).md	
@@ -145,7 +145,7 @@ ytext.observe(() => {
 ## 🔗 Graph
 - 부모: [[State Management]]
 - 변형: [[Event Sourcing]] · [[CQRS]]
-- 응용: [[React Server Components]] · [[CRDT]]
+- 응용: [[React Server Components — 경계 의식]] · [[CRDT]]
 - Adjacent: [[단일 진실 공급원(Single Source of Truth) 구축]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Frontend/단일 페이지 애플리케이션 (SPA).md b/10_Wiki/Topics/Frontend/단일 페이지 애플리케이션 (SPA).md
index 3bb19ab0..c708c481 100644
--- a/10_Wiki/Topics/Frontend/단일 페이지 애플리케이션 (SPA).md	
+++ b/10_Wiki/Topics/Frontend/단일 페이지 애플리케이션 (SPA).md	
@@ -133,7 +133,7 @@ export default defineConfig({
 
 ## 🔗 Graph
 - 부모: [[Large_Frontend_Projects|Frontend Architecture]]
-- 변형: [[SSR]] · [[SSG]] · [[Islands Architecture]] · [[React Server Components]]
+- 변형: [[SSR]] · [[SSG]] · [[Islands Architecture]] · [[React Server Components — 경계 의식]]
 - 응용: [[단일 페이지 애플리케이션(SPA) 렌더링 설계]] · [[단일 페이지 애플리케이션(SPA) 아키텍처 설계]]
 - Adjacent: [[Code Splitting]] · [[Client-Side Routing]] · [[State Management]]
 
diff --git a/10_Wiki/Topics/Frontend/단일 페이지 애플리케이션(SPA) 렌더링 설계.md b/10_Wiki/Topics/Frontend/단일 페이지 애플리케이션(SPA) 렌더링 설계.md
index a8d70545..f9ebd871 100644
--- a/10_Wiki/Topics/Frontend/단일 페이지 애플리케이션(SPA) 렌더링 설계.md	
+++ b/10_Wiki/Topics/Frontend/단일 페이지 애플리케이션(SPA) 렌더링 설계.md	
@@ -24,7 +24,7 @@ github_commit: pending
 - 매 2026 modern: React Server Components, Next.js 15 App Router, Remix v3, SolidStart, TanStack Router.
 
 ## 🔗 Graph
-- 변형: [[React Server Components]]
+- 변형: [[React Server Components — 경계 의식]]
 - Adjacent: [[Critical Rendering Path (CRP)|Critical Rendering Path]]
 
 ## 🕓 변경 이력
diff --git a/10_Wiki/Topics/Frontend/대수의 법칙(Law of Large Numbers).md b/10_Wiki/Topics/Frontend/대수의 법칙(Law of Large Numbers).md
index e39c15db..a56ae61d 100644
--- a/10_Wiki/Topics/Frontend/대수의 법칙(Law of Large Numbers).md	
+++ b/10_Wiki/Topics/Frontend/대수의 법칙(Law of Large Numbers).md	
@@ -144,7 +144,7 @@ function bootstrapCI(samples: number[], B = 10000, alpha = 0.05) {
 
 ## 🔗 Graph
 - 부모: [[Probability Theory]] · [[Statistical Inference]]
-- 응용: [[Core Web Vitals Optimization (INP, LCP 개선)|Core Web Vitals]]
+- 응용: [[Core Web Vitals Optimization (INP, LCP, CLS)|Core Web Vitals]]
 - Adjacent: [[Monte Carlo Methods]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Frontend/디지털 트윈 및 데이터 시뮬레이션.md b/10_Wiki/Topics/Frontend/디지털 트윈 및 데이터 시뮬레이션.md
index 7ffa2e4b..c978eceb 100644
--- a/10_Wiki/Topics/Frontend/디지털 트윈 및 데이터 시뮬레이션.md	
+++ b/10_Wiki/Topics/Frontend/디지털 트윈 및 데이터 시뮬레이션.md	
@@ -178,7 +178,7 @@ function detectAnomaly(values: number[]): boolean {
 **기본값**: R3F + WebSocket + zustand + recharts. WebGPU 는 particle/heatmap 만.
 
 ## 🔗 Graph
-- 부모: [[클라우드_인프라_및_IaC_운영_표준|IoT]]
+- 부모: [[클라우드 인프라 및 IaC 운영 표준|IoT]]
 - 변형: [[GIS]]
 - Adjacent: [[WebGPU]] · [[Three.js]] · [[Cesium]]
 
diff --git a/10_Wiki/Topics/Frontend/렌더링 블로킹 방지를 위한 CSS 분할 및 로딩 최적화.md b/10_Wiki/Topics/Frontend/렌더링 블로킹 방지를 위한 CSS 분할 및 로딩 최적화.md
index b90a7a39..9d91e942 100644
--- a/10_Wiki/Topics/Frontend/렌더링 블로킹 방지를 위한 CSS 분할 및 로딩 최적화.md	
+++ b/10_Wiki/Topics/Frontend/렌더링 블로킹 방지를 위한 CSS 분할 및 로딩 최적화.md	
@@ -150,7 +150,7 @@ Cloudflare/Vercel 자동 지원 — TTFB 안 기다리고 preload 시작.
 **기본값**: Tailwind v4 + Vite/Next 자동 chunk + `<link rel="preload">` for above-fold.
 
 ## 🔗 Graph
-- 부모: [[Web Performance]] · [[Core Web Vitals Optimization (INP, LCP 개선)|Core Web Vitals]]
+- 부모: [[Web Performance]] · [[Core Web Vitals Optimization (INP, LCP, CLS)|Core Web Vitals]]
 - 변형: [[Critical CSS]] · [[CSS_Architecture_and_Styling|CSS-in-JS]] · [[CSS Modules]]
 - 응용: [[Tailwind v4]] · [[Vite]] · [[Next.js]]
 
diff --git a/10_Wiki/Topics/Frontend/렌더링 차단 리소스(Render-blocking resources).md b/10_Wiki/Topics/Frontend/렌더링 차단 리소스(Render-blocking resources).md
index caf9fdb2..ef94313e 100644
--- a/10_Wiki/Topics/Frontend/렌더링 차단 리소스(Render-blocking resources).md	
+++ b/10_Wiki/Topics/Frontend/렌더링 차단 리소스(Render-blocking resources).md	
@@ -136,7 +136,7 @@ tech_stack:
 ## 🔗 Graph
 - 부모: [[Web Performance]] · [[Critical Rendering Path (CRP)|Critical Rendering Path]]
 - 변형: [[Critical CSS]]
-- 응용: [[Core Web Vitals Optimization (INP, LCP 개선)|Core Web Vitals]]
+- 응용: [[Core Web Vitals Optimization (INP, LCP, CLS)|Core Web Vitals]]
 - Adjacent: [[Speculation Rules]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Frontend/모바일 퍼스트(Mobile-First).md b/10_Wiki/Topics/Frontend/모바일 퍼스트(Mobile-First).md
index ea219798..68d4c578 100644
--- a/10_Wiki/Topics/Frontend/모바일 퍼스트(Mobile-First).md	
+++ b/10_Wiki/Topics/Frontend/모바일 퍼스트(Mobile-First).md	
@@ -155,7 +155,7 @@ button, a {
 ## 🔗 Graph
 - 변형: [[컨테이너 쿼리 (Container Queries)]]
 - 응용: [[CSS_Architecture_and_Styling|Tailwind CSS]]
-- Adjacent: [[Core Web Vitals Optimization (INP, LCP 개선)|Core Web Vitals]]
+- Adjacent: [[Core Web Vitals Optimization (INP, LCP, CLS)|Core Web Vitals]]
 
 ## 🤖 LLM 활용
 **언제**: 새 web project, e-commerce, content site, public-facing app, PWA.
diff --git a/10_Wiki/Topics/Frontend/비동기 데이터 관리.md b/10_Wiki/Topics/Frontend/비동기 데이터 관리.md
index fb23bfad..7dc10d2e 100644
--- a/10_Wiki/Topics/Frontend/비동기 데이터 관리.md	
+++ b/10_Wiki/Topics/Frontend/비동기 데이터 관리.md	
@@ -154,7 +154,7 @@ async function UserPage({ params }: { params: { id: string } }) {
 
 ## 🔗 Graph
 - 부모: [[State Management]]
-- 응용: [[Optimistic UI]] · [[Infinite Scroll]] · [[React Server Components]]
+- 응용: [[Optimistic UI]] · [[Infinite Scroll]] · [[React Server Components — 경계 의식]]
 - Adjacent: [[AbortController]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Frontend/유지보수 가능한 대규모 프론트엔드 CSS 설계.md b/10_Wiki/Topics/Frontend/유지보수 가능한 대규모 프론트엔드 CSS 설계.md
index 82c92efa..107fedfe 100644
--- a/10_Wiki/Topics/Frontend/유지보수 가능한 대규모 프론트엔드 CSS 설계.md	
+++ b/10_Wiki/Topics/Frontend/유지보수 가능한 대규모 프론트엔드 CSS 설계.md	
@@ -138,7 +138,7 @@ export const Card = ({ children }) => <div className={styles.card}>{children}</d
 ## 🔗 Graph
 - 부모: [[CSS_Architecture_and_Styling|CSS Architecture]] · [[Design System]]
 - 변형: [[BEM]] · [[CSS Modules]] · [[CSS_Architecture_and_Styling|CSS-in-JS]]
-- 응용: [[CSS_Architecture_and_Styling|Tailwind CSS]] · [[Vanilla Extract]] · [[Theming]]
+- 응용: [[CSS_Architecture_and_Styling|Tailwind CSS]] · [[vanilla-extract]] · [[Theming]]
 - Adjacent: [[컨테이너 쿼리 (Container Queries)|Container Queries]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Frontend/컴포넌트 기반 웹 프레임워크 아키텍처 설계.md b/10_Wiki/Topics/Frontend/컴포넌트 기반 웹 프레임워크 아키텍처 설계.md
index 0034301b..1b61fc1e 100644
--- a/10_Wiki/Topics/Frontend/컴포넌트 기반 웹 프레임워크 아키텍처 설계.md	
+++ b/10_Wiki/Topics/Frontend/컴포넌트 기반 웹 프레임워크 아키텍처 설계.md	
@@ -144,7 +144,7 @@ interface Renderer<HostNode> {
 
 ## 🔗 Graph
 - 부모: [[Component-Composition|Component-Based Architecture]]
-- 변형: [[Virtual_DOM과_Reconciliation|Virtual DOM]] · [[Fine-Grained Reactivity]]
+- 변형: [[Virtual DOM과 Reconciliation|Virtual DOM]] · [[Fine-Grained Reactivity]]
 - 응용: [[React]] · [[Solid]]
 - Adjacent: [[State Management]] · [[Modern_Web_Rendering_and_Optimization|Server Components]] · [[Hydration]]
 
diff --git a/10_Wiki/Topics/Frontend/콘텐츠 기반의 이커머스 및 뉴스 웹사이트 성능 튜닝.md b/10_Wiki/Topics/Frontend/콘텐츠 기반의 이커머스 및 뉴스 웹사이트 성능 튜닝.md
index 83237e3d..7520b6d2 100644
--- a/10_Wiki/Topics/Frontend/콘텐츠 기반의 이커머스 및 뉴스 웹사이트 성능 튜닝.md	
+++ b/10_Wiki/Topics/Frontend/콘텐츠 기반의 이커머스 및 뉴스 웹사이트 성능 튜닝.md	
@@ -140,7 +140,7 @@ return new Response(html, {
 - 부모: [[Web Performance]] · [[Large_Frontend_Projects|Frontend Architecture]]
 - 변형: [[ISR]] · [[Edge Computing]] · [[Streaming SSR]]
 - 응용: [[Headless Commerce]]
-- Adjacent: [[CDN]] · [[Core Web Vitals Optimization (INP, LCP 개선)|Core Web Vitals]] · [[SEO]]
+- Adjacent: [[CDN]] · [[Core Web Vitals Optimization (INP, LCP, CLS)|Core Web Vitals]] · [[SEO]]
 
 ## 🤖 LLM 활용
 **언제**: 매 traffic-heavy content site, 매 PLP/PDP, 매 article-driven SEO.
diff --git a/10_Wiki/Topics/Frontend/프론트엔드 컴포넌트 설계.md b/10_Wiki/Topics/Frontend/프론트엔드 컴포넌트 설계.md
index 1dcb47bd..791bc240 100644
--- a/10_Wiki/Topics/Frontend/프론트엔드 컴포넌트 설계.md	
+++ b/10_Wiki/Topics/Frontend/프론트엔드 컴포넌트 설계.md	
@@ -24,7 +24,7 @@ github_commit: pending
 - 매 design system 통합: 매 tokens · 매 Storybook · 매 visual regression (Chromatic).
 
 ## 🔗 Graph
-- Adjacent: [[Design Systems]] · [[React Server Components]]
+- Adjacent: [[Design Systems]] · [[React Server Components — 경계 의식]]
 
 ## 🕓 변경 이력
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/Frontend/하이드레이션 (Hydration).md b/10_Wiki/Topics/Frontend/하이드레이션 (Hydration).md
index 641776df..b98c4c30 100644
--- a/10_Wiki/Topics/Frontend/하이드레이션 (Hydration).md	
+++ b/10_Wiki/Topics/Frontend/하이드레이션 (Hydration).md	
@@ -25,7 +25,7 @@ github_commit: pending
 
 ## 🔗 Graph
 - 부모: [[Hydration]] (canonical)
-- Adjacent: [[Server-Side Rendering (SSR)]] · [[React Server Components]] · [[Streaming SSR]]
+- Adjacent: [[Server-Side Rendering (SSR)]] · [[React Server Components — 경계 의식]] · [[Streaming SSR]]
 
 ## 🕓 변경 이력
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/Frontend/확장 가능한 프론트엔드 아키텍처(Scalable Frontend Architecture).md b/10_Wiki/Topics/Frontend/확장 가능한 프론트엔드 아키텍처(Scalable Frontend Architecture).md
index da375b3c..3bf4cfdc 100644
--- a/10_Wiki/Topics/Frontend/확장 가능한 프론트엔드 아키텍처(Scalable Frontend Architecture).md	
+++ b/10_Wiki/Topics/Frontend/확장 가능한 프론트엔드 아키텍처(Scalable Frontend Architecture).md	
@@ -25,7 +25,7 @@ github_commit: pending
 
 ## 🔗 Graph
 - 부모: [[Scalable Frontend Architecture]] (canonical)
-- Adjacent: [[Micro-Frontends]] · [[Module Federation]] · [[Monorepo (Turborepo / Nx)]]
+- Adjacent: [[Micro-Frontends]] · [[Module Federation]] · [[Monorepo (Turborepo/Nx)]]
 
 ## 🕓 변경 이력
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/Frontend/힙 스냅샷 (Heap Snapshots).md b/10_Wiki/Topics/Frontend/힙 스냅샷 (Heap Snapshots).md
index 31312e24..96fed38d 100644
--- a/10_Wiki/Topics/Frontend/힙 스냅샷 (Heap Snapshots).md	
+++ b/10_Wiki/Topics/Frontend/힙 스냅샷 (Heap Snapshots).md	
@@ -24,7 +24,7 @@ github_commit: pending
 - 매 modern alternative: 매 `performance.measureUserAgentSpecificMemory()` · 매 Lighthouse memory audits.
 
 ## 🔗 Graph
-- Adjacent: [[Memory Leak Detection]] · [[Chrome DevTools 메모리 프로파일링|Chrome DevTools]]
+- Adjacent: [[Memory Leak Detection]] · [[Chrome DevTools Memory Profiling|Chrome DevTools]]
 
 ## 🕓 변경 이력
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/Game_Design/Algorithmic Rhetoric.md b/10_Wiki/Topics/Game_Design/Algorithmic Rhetoric.md
index 0130c185..f054677f 100644
--- a/10_Wiki/Topics/Game_Design/Algorithmic Rhetoric.md	
+++ b/10_Wiki/Topics/Game_Design/Algorithmic Rhetoric.md	
@@ -129,7 +129,7 @@ def display_endgame_summary(playthrough):
 ## 🔗 Graph
 - 부모: [[Procedural Rhetoric]]
 - 변형: [[Persuasive Games]]
-- 응용: [[Papers Please]]
+- 응용: [[Papers Please — Bureaucracy as Mechanic]]
 - Adjacent: [[Ludonarrative Dissonance]] · [[Algorithmic Bias]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Game_Design/Combat_Balance_Buff.md b/10_Wiki/Topics/Game_Design/Combat_Balance_Buff.md
index bea2353a..e46243e4 100644
--- a/10_Wiki/Topics/Game_Design/Combat_Balance_Buff.md
+++ b/10_Wiki/Topics/Game_Design/Combat_Balance_Buff.md
@@ -130,7 +130,7 @@ async function validateBuff(unit_id: string, ptr_data: TelemetryWindow) {
 **기본값**: 매 telemetry > 1000 sample + 매 conservative +5% first pass.
 
 ## 🔗 Graph
-- 부모: [[게임 밸런싱|Game-Balance]] · [[Live-Ops]]
+- 부모: [[게임 밸런싱|Game-Balance]] · [[LiveOps]]
 - 응용: [[Defense-Buildings]] · [[Damage-Resistance-Platforms]]
 - Adjacent: [[Evolution-of-the-War-Commander-Combat-Ecosystem]]
 
diff --git a/10_Wiki/Topics/Game_Design/Data-Driven Personalization.md b/10_Wiki/Topics/Game_Design/Data-Driven Personalization.md
index 34d3dbb6..b83c814d 100644
--- a/10_Wiki/Topics/Game_Design/Data-Driven Personalization.md	
+++ b/10_Wiki/Topics/Game_Design/Data-Driven Personalization.md	
@@ -154,7 +154,7 @@ def select_offer_with_guardrails(p: PlayerFeatures, ml_pick: int, offers: list)
 **기본값**: 매 segment + bandit + 매 rule guardrails 의 layered.
 
 ## 🔗 Graph
-- 부모: [[Live-Ops]]
+- 부모: [[LiveOps]]
 - 변형: [[Dynamic Offers]] · [[Adaptive-Difficulty]]
 - 응용: [[Game_Monetization_Strategy]] · [[Capybara GO!]]
 - Adjacent: [[CPI (Cost Per Install)]] · [[Gacha Mechanics Analysis]]
diff --git a/10_Wiki/Topics/Game_Design/Dynamic Offers.md b/10_Wiki/Topics/Game_Design/Dynamic Offers.md
index 2eaaa287..ee5de9a5 100644
--- a/10_Wiki/Topics/Game_Design/Dynamic Offers.md	
+++ b/10_Wiki/Topics/Game_Design/Dynamic Offers.md	
@@ -162,7 +162,7 @@ async function offerConversionRate(offer_id: string, since_ms: number) {
 **기본값**: 매 trigger + eligibility + cooldown + 매 explainable rules first, ML overlay second.
 
 ## 🔗 Graph
-- 부모: [[Game_Monetization_Strategy]] · [[Live-Ops]]
+- 부모: [[Game_Monetization_Strategy]] · [[LiveOps]]
 - 응용: [[Capybara GO!]] · [[Data-Driven Personalization]]
 - Adjacent: [[CPI (Cost Per Install)]]
 
diff --git a/10_Wiki/Topics/Game_Design/Final Fantasy XV- A New Empire.md b/10_Wiki/Topics/Game_Design/Final Fantasy XV- A New Empire.md
index 0e7d77cb..a31cfb99 100644
--- a/10_Wiki/Topics/Game_Design/Final Fantasy XV- A New Empire.md	
+++ b/10_Wiki/Topics/Game_Design/Final Fantasy XV- A New Empire.md	
@@ -146,7 +146,7 @@ game:
 
 ## 🔗 Graph
 - 부모: [[Game_Monetization_Strategy]]
-- 변형: [[Game-of-War]] · [[Mobile-Strike]]
+- 변형: [[Game-of-War]] · [[Mobile Strike]]
 
 ## 🤖 LLM 활용
 **언제**: 매 mobile 4X monetization 분석, 매 IP licensing strategy 평가, 매 dark pattern 식별.
diff --git a/10_Wiki/Topics/Game_Design/Procedural-Level-Geometry.md b/10_Wiki/Topics/Game_Design/Procedural-Level-Geometry.md
index f8303b08..e567e54b 100644
--- a/10_Wiki/Topics/Game_Design/Procedural-Level-Geometry.md
+++ b/10_Wiki/Topics/Game_Design/Procedural-Level-Geometry.md
@@ -145,7 +145,7 @@ Iterations: 4
 
 ## 🔗 Graph
 - 부모: [[Level_Design]] · [[Procedural_Content_Generation]]
-- 변형: [[Cellular_Automata]]
+- 변형: [[Cellular Automata]]
 - Adjacent: [[Base-Layouts-and-Kill-Zones]] · [[Immersive-Sims-Deus-Ex-Thief]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Game_Design/Support-Platforms.md b/10_Wiki/Topics/Game_Design/Support-Platforms.md
index 0d47cd29..e5e5a711 100644
--- a/10_Wiki/Topics/Game_Design/Support-Platforms.md
+++ b/10_Wiki/Topics/Game_Design/Support-Platforms.md
@@ -164,7 +164,7 @@ async function checkSentiment(message: string, ticket: Ticket) {
 **기본값**: Helpshift + Claude-powered bot deflection — 매 cost-effective 매 mobile games 의 industry standard.
 
 ## 🔗 Graph
-- 부모: [[Game Design]] · [[Live Ops]]
+- 부모: [[Game Design]] · [[LiveOps]]
 - Adjacent: [[Player Retention]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Game_Design/World War Rising.md b/10_Wiki/Topics/Game_Design/World War Rising.md
index 0d75955d..1cff57b2 100644
--- a/10_Wiki/Topics/Game_Design/World War Rising.md	
+++ b/10_Wiki/Topics/Game_Design/World War Rising.md	
@@ -182,7 +182,7 @@ def grant_vip_daily(player):
 ## 🔗 Graph
 - 변형: [[Mobile Strike]] · [[Game of War]]
 - 응용: [[Kingdom vs Kingdom]]
-- Adjacent: [[Gacha Mechanics Analysis]] · [[게임_디자인_및_가상_경제_시스템|VIP System]] · [[Power Creep (Content Treadmills)]]
+- Adjacent: [[Gacha Mechanics Analysis]] · [[게임 디자인 및 가상 경제 시스템|VIP System]] · [[Power Creep (Content Treadmills)]]
 
 ## 🤖 LLM 활용
 **언제**: 4X mobile MMO design reference, gacha + speedup + VIP layered monetization 의 case study.
diff --git a/10_Wiki/Topics/General Knowledge/Code Splitting  Lazy Loading.md b/10_Wiki/Topics/General Knowledge/Code Splitting  Lazy Loading.md
index 6799bf4c..609a29ed 100644
--- a/10_Wiki/Topics/General Knowledge/Code Splitting  Lazy Loading.md	
+++ b/10_Wiki/Topics/General Knowledge/Code Splitting  Lazy Loading.md	
@@ -168,7 +168,7 @@ export default {
 ## 🔗 Graph
 - 부모: [[Web Performance]]
 - 변형: [[Module Federation]]
-- 응용: [[React Server Components]]
+- 응용: [[React Server Components — 경계 의식]]
 - Adjacent: [[Vite]] · [[Rollup]] · [[esbuild]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/General Knowledge/Description-Logics.md b/10_Wiki/Topics/General Knowledge/Description-Logics.md
index 20de8227..381b472c 100644
--- a/10_Wiki/Topics/General Knowledge/Description-Logics.md	
+++ b/10_Wiki/Topics/General Knowledge/Description-Logics.md	
@@ -150,7 +150,7 @@ def grounded_answer(question: str) -> str:
 
 ## 🔗 Graph
 - 부모: [[Logic]] · [[Knowledge Representation]]
-- Adjacent: [[Knowledge Graphs]]
+- Adjacent: [[Knowledge-Graphs]]
 
 ## 🤖 LLM 활용
 **언제**: ontology design review, axiom suggestion, SPARQL 생성, RAG 의 ontology-grounded prompt.
diff --git a/10_Wiki/Topics/Green-Check-Mark-Syndrome.md b/10_Wiki/Topics/Green-Check-Mark-Syndrome.md
index 826183dc..db407275 100644
--- a/10_Wiki/Topics/Green-Check-Mark-Syndrome.md
+++ b/10_Wiki/Topics/Green-Check-Mark-Syndrome.md
@@ -152,7 +152,7 @@ test('real query', async () => {
 **기본값**: 매 green CI 의 trust 의 X — 매 mutation score + 매 prod observability + 매 chaos drills 의 combined signal.
 
 ## 🔗 Graph
-- 부모: [[CI-CD]]
+- 부모: [[CI CD]]
 - 변형: [[Test-Theater]]
 - 응용: [[Mutation-Testing]] · [[Property-Based-Testing]] · [[Chaos-Engineering]]
 - Adjacent: [[Goodharts-Law]] · [[Observability]]
diff --git a/10_Wiki/Topics/Harness_Research_2026-05/Phase 3- Harness Engineering.md b/10_Wiki/Topics/Harness_Research_2026-05/Phase 3- Harness Engineering.md
index 19f00c26..f574b828 100644
--- a/10_Wiki/Topics/Harness_Research_2026-05/Phase 3- Harness Engineering.md	
+++ b/10_Wiki/Topics/Harness_Research_2026-05/Phase 3- Harness Engineering.md	
@@ -1,4 +1,4 @@
-# [[Phase 3: Harness Engineering]]
+# [[Phase 3- Harness Engineering]]
 
 ## 📌 Brief Summary
 'Phase 3: Harness Engineering'은 AI 에이전트 발전의 세 번째 단계로, 모델의 크기(Phase 1)나 프롬프트 및 컨텍스트(Phase 2)를 개선하는 것을 넘어 모델이 작동하는 '환경'을 설계하는 단계를 의미한다 [1, 2]. 이는 에이전트의 성공 여부를 결정짓는 컨텍스트 전달, 도구 인터페이스, 계획 아티팩트, 검증 루프, 메모리 시스템 및 샌드박스 등 스캐폴딩(Scaffolding)을 설계하는 공학적 규율이다 [3]. 이 단계에서는 "모델에게 무엇을 말할 것인가"가 아니라 "모델을 어떤 환경에서 작동시킬 것인가"에 집중하여 에이전트의 신뢰성과 성능을 극대화한다 [2].
diff --git a/10_Wiki/Topics/Human_Computer_Interaction.md b/10_Wiki/Topics/Human_Computer_Interaction.md
index c8ab8f0f..cab8679b 100644
--- a/10_Wiki/Topics/Human_Computer_Interaction.md
+++ b/10_Wiki/Topics/Human_Computer_Interaction.md
@@ -172,7 +172,7 @@ function ArticleSkeleton() {
 ## 🔗 Graph
 - 변형: [[Interaction-Design]]
 - 응용: [[Accessibility (A11y)|Accessibility]] · [[BCI]]
-- Adjacent: [[Cognitive-Load]] · [[Design-Systems]]
+- Adjacent: [[Cognitive Load]] · [[Design-Systems]]
 
 ## 🤖 LLM 활용
 **언제**: copywriting, alt-text generation, A11y review, conversational UI design.
diff --git a/10_Wiki/Topics/Index_1530.md b/10_Wiki/Topics/Index_1530.md
index 4a48bef0..8af2413d 100644
--- a/10_Wiki/Topics/Index_1530.md
+++ b/10_Wiki/Topics/Index_1530.md
@@ -121,7 +121,7 @@ def suggest_cross_links(note_md: Path, all_notes: dict[str, set[str]]) -> set[st
 매 "consistency" 의 multiple meanings:
 
 - **Database consistency** — see [[ACID]] · [[CAP-Theorem]]
-- **Distributed consistency** — see [[Linearizability]] · [[Eventual-Consistency]]
+- **Distributed consistency** — see [[Linearizability]] · [[Eventual Consistency]]
 - **UI consistency** — see [[Design-Systems]] · [[HCI-Principles]]
 - **Logical consistency** — see [[Consistency-Logic]]
 ```
diff --git a/10_Wiki/Topics/LLM_Optimization_and_Deployment_Strategies.md b/10_Wiki/Topics/LLM_Optimization_and_Deployment_Strategies.md
index 883d3d0c..ee6e7ddc 100644
--- a/10_Wiki/Topics/LLM_Optimization_and_Deployment_Strategies.md
+++ b/10_Wiki/Topics/LLM_Optimization_and_Deployment_Strategies.md
@@ -53,8 +53,8 @@ tech_stack:
 
 ## 🔗 지식 연결 (Graph)
 - **Parent:** [[10_Wiki/Topics]]
-- **Related:** [[Transformer_Architecture_and_LLM_Foundations]], [[데이터_사이언스_및_ML_엔지니어링|Neural_Networks_and_Deep_Learning_Foundations]], [[LLM_Ops_and_Tuning]]
-- **Redirects:** [[LLM_Optimization_and_Deployment_Strategies|Quantization]], [[PEFT]], [[LLM_Optimization_and_Deployment_Strategies|vLLM]], [[Model_Compression]], [[Ollama]]
+- **Related:** [[Transformer_Architecture_and_LLM_Foundations]], [[데이터 사이언스 및 ML 엔지니어링|Neural_Networks_and_Deep_Learning_Foundations]], [[LLM_Ops_and_Tuning]]
+- **Redirects:** [[LLM_Optimization_and_Deployment_Strategies|Quantization]], [[PEFT]], [[LLM_Optimization_and_Deployment_Strategies|vLLM]], [[Model Compression]], [[Ollama]]
 
 ---
 *Last updated: 2026-05-08*
diff --git a/10_Wiki/Topics/Nodejs_and_Backend_Optimization.md b/10_Wiki/Topics/Nodejs_and_Backend_Optimization.md
index b5ff2f12..84c1c033 100644
--- a/10_Wiki/Topics/Nodejs_and_Backend_Optimization.md
+++ b/10_Wiki/Topics/Nodejs_and_Backend_Optimization.md
@@ -66,7 +66,7 @@ tech_stack:
 ## 🔗 지식 연결 (Graph)
 - **Parent:** [[10_Wiki/Topics]]
 - **Related:** [[Cloud_Native|Cloud_Native_and_Microservices]], [[Modern_Web_Rendering_and_Optimization]], [[Performance_Profiling_and_Memory]]
-- **Redirects:** [[Nodejs_and_Backend_Optimization|Nodejs]], [[Allocation Timeline|Allocation_Timeline]], [[Heap_Snapshot]], [[Nodejs_and_Backend_Optimization|Retaining_Path]], [[Nodejs_and_Backend_Optimization|clinicjs]]
+- **Redirects:** [[Nodejs_and_Backend_Optimization|Nodejs]], [[Allocation Timeline|Allocation_Timeline]], [[Heap Snapshot]], [[Nodejs_and_Backend_Optimization|Retaining_Path]], [[Nodejs_and_Backend_Optimization|clinicjs]]
 
 ---
 *Last updated: 2026-05-08*
diff --git a/10_Wiki/Topics/Other/Analysis.md b/10_Wiki/Topics/Other/Analysis.md
index 34e0b6ef..415c210d 100644
--- a/10_Wiki/Topics/Other/Analysis.md
+++ b/10_Wiki/Topics/Other/Analysis.md
@@ -150,7 +150,7 @@ resp = client.messages.create(
 
 ## 🔗 Graph
 - 부모: [[Scientific Method]]
-- 변형: [[Exploratory Data Analysis]] · [[Causal Inference]] · [[Root Cause Analysis]]
+- 변형: [[Exploratory Data Analysis (EDA)]] · [[Causal Inference]] · [[Root Cause Analysis]]
 - 응용: [[Decision Making]] · [[Debugging]]
 - Adjacent: [[Synthesis]] · [[Statistics]]
 
diff --git a/10_Wiki/Topics/Other/Big-Picture.md b/10_Wiki/Topics/Other/Big-Picture.md
index 95375136..2f268330 100644
--- a/10_Wiki/Topics/Other/Big-Picture.md
+++ b/10_Wiki/Topics/Other/Big-Picture.md
@@ -156,7 +156,7 @@ criteria = ["dev_speed", "ops_cost", "scalability", "team_autonomy"]
 ## 🔗 Graph
 - 부모: [[Systems_Thinking|Systems-Thinking]] · [[Architecture]]
 - 응용: [[Architecture-Review]] · [[Postmortem]]
-- Adjacent: [[Bounded-Context]] · [[Domain-Driven-Design]]
+- Adjacent: [[Bounded Context]] · [[Domain-Driven-Design]]
 
 ## 🤖 LLM 활용
 **언제**: Architecture review, repo onboarding, postmortem synthesis, roadmap drafting. 매 1M context 의 entire codebase 의 fit 가능 — 매 truly novel 2026 capability.
diff --git a/10_Wiki/Topics/Other/Feedback-Loops.md b/10_Wiki/Topics/Other/Feedback-Loops.md
index 404287a4..a1b074db 100644
--- a/10_Wiki/Topics/Other/Feedback-Loops.md
+++ b/10_Wiki/Topics/Other/Feedback-Loops.md
@@ -135,7 +135,7 @@ def detect_runaway(time_series: list[float], window: int = 10, threshold: float
 
 ## 🔗 Graph
 - 부모: [[Cybernetics Foundations|Cybernetics]] · [[Control Theory]] · [[Systems_Thinking|Systems Thinking]]
-- 응용: [[RLHF]] · [[Homeostasis (항상성)|Homeostasis]]
+- 응용: [[RLHF]] · [[Homeostasis (항상성)|Homeostasis]]
 
 ## 🤖 LLM 활용
 **언제**: 매 archetype identification, 매 PID gain initial estimation, 매 system dynamics diagram 의 stock-flow conversion.
diff --git a/10_Wiki/Topics/Other/Inference-Coupled Persistence.md b/10_Wiki/Topics/Other/Inference-Coupled Persistence.md
index 382c2bcd..4db7a05c 100644
--- a/10_Wiki/Topics/Other/Inference-Coupled Persistence.md	
+++ b/10_Wiki/Topics/Other/Inference-Coupled Persistence.md	
@@ -170,9 +170,9 @@ def deserialize_kv_int8(data: bytes, meta: dict) -> torch.Tensor:
 
 ## 🔗 Graph
 - 부모: [[KV-Cache]]
-- 변형: [[Prefix-Caching]] · [[Paged-Attention]]
+- 변형: [[Prefix-Caching]] · [[PagedAttention]]
 - 응용: [[LLM_Optimization_and_Deployment_Strategies|vLLM]]
-- Adjacent: [[Continuous-Batching]] · [[FlashAttention]]
+- Adjacent: [[Continuous-Batching]] · [[Flash Attention]]
 
 ## 🤖 LLM 활용
 **언제**: 매 production LLM serving 매 multi-hour conversations, 매 cost optimization, 매 multi-tenant 100K+ sessions.
diff --git a/10_Wiki/Topics/Other/Iteration.md b/10_Wiki/Topics/Other/Iteration.md
index 611f0ab8..dd538e96 100644
--- a/10_Wiki/Topics/Other/Iteration.md
+++ b/10_Wiki/Topics/Other/Iteration.md
@@ -172,7 +172,7 @@ def iterate_with_budget(items, budget_sec: float):
 ## 🔗 Graph
 - 부모: [[Agile]]
 - 응용: [[Generator]] · [[Sprint]]
-- Adjacent: [[Lean-Startup]]
+- Adjacent: [[Lean Startup]]
 
 ## 🤖 LLM 활용
 **언제**: Agentic systems (think-act-observe), iterative refinement of code via LLM feedback, sprint planning summaries.
diff --git a/10_Wiki/Topics/Other/Just-In-Time (JIT).md b/10_Wiki/Topics/Other/Just-In-Time (JIT).md
index 2e34bef8..252e648d 100644
--- a/10_Wiki/Topics/Other/Just-In-Time (JIT).md	
+++ b/10_Wiki/Topics/Other/Just-In-Time (JIT).md	
@@ -162,7 +162,7 @@ fn matmul[M: Int, N: Int, K: Int](a: Tensor, b: Tensor) -> Tensor:
 ## 🔗 Graph
 - 부모: [[Performance-Optimization]]
 - 변형: [[Tracing-JIT]]
-- 응용: [[JAX]] · [[torch.compile]] · [[V8-Engine]]
+- 응용: [[JAX]] · [[torch.compile]] · [[V8 Engine]]
 - Adjacent: [[XLA]] · [[Triton]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Other/Middle-Out-Thinking.md b/10_Wiki/Topics/Other/Middle-Out-Thinking.md
index a176b332..06857749 100644
--- a/10_Wiki/Topics/Other/Middle-Out-Thinking.md
+++ b/10_Wiki/Topics/Other/Middle-Out-Thinking.md
@@ -115,10 +115,10 @@ def middle_out_outline(thesis: str):
 **기본값**: Middle-out — 매 most realistic problems 에서 매 anchor 가 존재.
 
 ## 🔗 Graph
-- 부모: [[Problem_Solving|Problem-Solving]] · [[Design-Thinking]]
+- 부모: [[Problem_Solving|Problem-Solving]] · [[Design Thinking]]
 - 변형: [[Top-Down-Design]] · [[Bottom-Up-Design]]
 - 응용: [[Minimal-Viable-Product]]
-- Adjacent: [[Pyramid-Principle]]
+- Adjacent: [[Pyramid Principle]]
 
 ## 🤖 LLM 활용
 **언제**: 매 ambiguous spec 에서 매 LLM 에게 "what's the anchor?" 질문 → 매 most leveraged decision 부터 elaborate.
diff --git a/10_Wiki/Topics/Other/Minimal-Viable-Product.md b/10_Wiki/Topics/Other/Minimal-Viable-Product.md
index 7413cd1a..af884775 100644
--- a/10_Wiki/Topics/Other/Minimal-Viable-Product.md
+++ b/10_Wiki/Topics/Other/Minimal-Viable-Product.md
@@ -113,7 +113,7 @@ def should_kill(metrics: dict, kill_threshold: dict) -> bool:
 **기본값**: Landing page → Concierge → Single-feature 의 progression.
 
 ## 🔗 Graph
-- 부모: [[Lean-Startup]]
+- 부모: [[Lean Startup]]
 
 ## 🤖 LLM 활용
 **언제**: 매 hypothesis articulation, 매 riskiest assumption 의 surfacing, 매 MVP scaffold generation.
diff --git a/10_Wiki/Topics/Other/Neuroergonomics.md b/10_Wiki/Topics/Other/Neuroergonomics.md
index b613ef99..a207769b 100644
--- a/10_Wiki/Topics/Other/Neuroergonomics.md
+++ b/10_Wiki/Topics/Other/Neuroergonomics.md
@@ -121,7 +121,7 @@ def fused_workload(neural_idx: float, tlx_score: float) -> float:
 **기본값**: fNIRS + eye-tracking — 매 real-world ecological validity 의 best.
 
 ## 🔗 Graph
-- 변형: [[Affective-Computing]] · [[Brain-Computer-Interface]]
+- 변형: [[Affective Computing]] · [[Brain-Computer-Interface]]
 
 ## 🤖 LLM 활용
 **언제**: 매 study design review, 매 GLM script generation, 매 multimodal-feature engineering, 매 paper synthesis.
diff --git a/10_Wiki/Topics/Other/Neuroplasticity in Addiction.md b/10_Wiki/Topics/Other/Neuroplasticity in Addiction.md
index 372ec639..fb78dafb 100644
--- a/10_Wiki/Topics/Other/Neuroplasticity in Addiction.md	
+++ b/10_Wiki/Topics/Other/Neuroplasticity in Addiction.md	
@@ -122,8 +122,8 @@ def tms_session():
 **기본값**: CBT + medication + digital tools — 매 multimodal 의 best evidence.
 
 ## 🔗 Graph
-- 부모: [[Neuroplasticity]] · [[Addiction-Neuroscience]]
-- 변형: [[Reward-Prediction-Error]]
+- 부모: [[Neuroplasticity]] · [[Addiction Neuroscience]]
+- 변형: [[Reward Prediction Error]]
 - Adjacent: [[Mesolimbic-Pathway]] · [[Dopamine-System]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Other/Protocols.md b/10_Wiki/Topics/Other/Protocols.md
index d255cc6b..15a55847 100644
--- a/10_Wiki/Topics/Other/Protocols.md
+++ b/10_Wiki/Topics/Other/Protocols.md
@@ -157,7 +157,7 @@ def negotiate(client_versions: set[str], server_versions: set[str]) -> str:
 ## 🔗 Graph
 - 부모: [[Distributed-Systems]]
 - 변형: [[HTTP]] · [[gRPC]] · [[MCP]]
-- 응용: [[API-Design]] · [[Microservices]] · [[클라우드_인프라_및_IaC_운영_표준|IoT]]
+- 응용: [[API-Design]] · [[Microservices]] · [[클라우드 인프라 및 IaC 운영 표준|IoT]]
 - Adjacent: [[Interoperability]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Other/Pull_Request_and_Issue_Tracking.md b/10_Wiki/Topics/Other/Pull_Request_and_Issue_Tracking.md
index 91694ac9..277c6a1d 100644
--- a/10_Wiki/Topics/Other/Pull_Request_and_Issue_Tracking.md
+++ b/10_Wiki/Topics/Other/Pull_Request_and_Issue_Tracking.md
@@ -164,7 +164,7 @@ gh issue list --label "needs-triage" --json number,title,createdAt
 **기본값**: small PRs (<400 LOC) + squash merge + Conventional Commits + required CI.
 
 ## 🔗 Graph
-- 부모: [[CI-CD]]
+- 부모: [[CI CD]]
 - 응용: [[Code-Review]] · [[Trunk-Based-Development]]
 - Adjacent: [[Conventional-Commits]] · [[CODEOWNERS]]
 
diff --git a/10_Wiki/Topics/Other/Rule of Three.md b/10_Wiki/Topics/Other/Rule of Three.md
index c78a2494..83e7e542 100644
--- a/10_Wiki/Topics/Other/Rule of Three.md	
+++ b/10_Wiki/Topics/Other/Rule of Three.md	
@@ -122,7 +122,7 @@ const PrimaryButton = ({ children, ...rest }) => (
 **기본값**: 매 N=3 까지 wait. 매 doubt 시 duplicate.
 
 ## 🔗 Graph
-- 부모: [[DRY Principle]] · [[Refactoring_Best_Practices|Refactoring]]
+- 부모: [[DRY Principle (Don't Repeat Yourself)]] · [[Refactoring_Best_Practices|Refactoring]]
 - 변형: [[YAGNI]]
 - 응용: [[Extract Function]] · [[Extract Class]]
 - Adjacent: [[Code Smell]]
diff --git a/10_Wiki/Topics/Other/State.md b/10_Wiki/Topics/Other/State.md
index 59da88cb..bda59676 100644
--- a/10_Wiki/Topics/Other/State.md
+++ b/10_Wiki/Topics/Other/State.md
@@ -160,7 +160,7 @@ const trafficLight = setup({}).createMachine({
 - 부모: [[State Management]] · [[Architecture]]
 - 변형: [[Server State]]
 - 응용: [[React]] · [[Zustand]] · [[XState]]
-- Adjacent: [[Immutability]] · [[State Machine]] · [[Single Source of Truth]]
+- Adjacent: [[Immutability]] · [[State Machine]] · [[Single Source of Truth (SSoT)]]
 
 ## 🤖 LLM 활용
 **언제**: 매 state shape 의 매 design 추천, 매 derived vs base 의 매 audit.
diff --git a/10_Wiki/Topics/Other/TypeScript.md b/10_Wiki/Topics/Other/TypeScript.md
index 3bf0e93b..2785b818 100644
--- a/10_Wiki/Topics/Other/TypeScript.md
+++ b/10_Wiki/Topics/Other/TypeScript.md
@@ -148,7 +148,7 @@ node --experimental-strip-types script.ts  # Node 22.6+
 ## 🔗 Graph
 - 부모: [[JavaScript]]
 - 변형: [[Flow]]
-- 응용: [[React]] · [[Node-js]] · [[Bun]] · [[Deno]]
+- 응용: [[React]] · [[Nodejs]] · [[Bun]] · [[Deno]]
 - Adjacent: [[Zod]] · [[ESLint]] · [[Vite]] · [[tsup]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Other/decisions.md b/10_Wiki/Topics/Other/decisions.md
index 6a21cc5e..9dd31ecd 100644
--- a/10_Wiki/Topics/Other/decisions.md
+++ b/10_Wiki/Topics/Other/decisions.md
@@ -146,7 +146,7 @@ pathlib.Path("doc/adr/README.md").write_text("\n".join(lines))
 **기본값**: Nygard ADR in `doc/adr/`, accepted via PR review, supersession over deletion.
 
 ## 🔗 Graph
-- 부모: [[Software_Architecture_Patterns]] · [[소프트웨어_설계_원칙_및_디자인_패턴|Engineering_Principles]]
+- 부모: [[Software_Architecture_Patterns]] · [[소프트웨어 설계 원칙 및 디자인 패턴|Engineering_Principles]]
 - 응용: [[Microservices_Architecture]] · [[Codebase_Onboarding]]
 - Adjacent: [[Pull_Request_and_Issue_Tracking]]
 
diff --git a/10_Wiki/Topics/Other/project-profile.md b/10_Wiki/Topics/Other/project-profile.md
index dea55018..63b3b9b0 100644
--- a/10_Wiki/Topics/Other/project-profile.md
+++ b/10_Wiki/Topics/Other/project-profile.md
@@ -183,7 +183,7 @@ flowchart LR
 **기본값**: PROJECT.md at repo root, YAML frontmatter, CI lint, kept under 200 lines.
 
 ## 🔗 Graph
-- 부모: [[Codebase_Onboarding]] · [[소프트웨어_설계_원칙_및_디자인_패턴|Engineering_Principles]]
+- 부모: [[Codebase_Onboarding]] · [[소프트웨어 설계 원칙 및 디자인 패턴|Engineering_Principles]]
 - 변형: [[CODEOWNERS]]
 - 응용: [[decisions]]
 - Adjacent: [[Pull_Request_and_Issue_Tracking]] · [[GIT_PROTOCOL]]
diff --git a/10_Wiki/Topics/Other/메타 레이어 (Meta Layers).md b/10_Wiki/Topics/Other/메타 레이어 (Meta Layers).md
index a9b4bf14..30601a58 100644
--- a/10_Wiki/Topics/Other/메타 레이어 (Meta Layers).md	
+++ b/10_Wiki/Topics/Other/메타 레이어 (Meta Layers).md	
@@ -25,7 +25,7 @@ github_commit: pending
 - 매 2026 trend: AI-generated dynamic meta (procedural balance shifts), live-ops-driven micro-metas.
 
 ## 🔗 Graph
-- 관련: [[Live Ops]] · [[Player Retention]]
+- 관련: [[LiveOps]] · [[Player Retention]]
 
 ## 🕓 변경 이력
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/Other/모바일 퍼스트 인덱싱(Mobile-First Indexing).md b/10_Wiki/Topics/Other/모바일 퍼스트 인덱싱(Mobile-First Indexing).md
index c0c1448a..a4678ce5 100644
--- a/10_Wiki/Topics/Other/모바일 퍼스트 인덱싱(Mobile-First Indexing).md	
+++ b/10_Wiki/Topics/Other/모바일 퍼스트 인덱싱(Mobile-First Indexing).md	
@@ -24,7 +24,7 @@ github_commit: pending
 - Responsive design + 동일 content (mobile = desktop) 가 권장 pattern.
 
 ## 🔗 Graph
-- Adjacent: [[Core Web Vitals Optimization (INP, LCP 개선)|Cumulative Layout Shift (CLS)]] · [[Core Web Vitals Optimization (INP, LCP 개선)|Core Web Vitals]]
+- Adjacent: [[Core Web Vitals Optimization (INP, LCP, CLS)|Cumulative Layout Shift (CLS)]] · [[Core Web Vitals Optimization (INP, LCP, CLS)|Core Web Vitals]]
 
 ## 🕓 변경 이력
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/Other/코드베이스_맵과_대화형_투어_Codebase_Maps_&_Interactive_Tours.md b/10_Wiki/Topics/Other/코드베이스_맵과_대화형_투어_Codebase_Maps_&_Interactive_Tours.md
index 2f5ef047..1b92648d 100644
--- a/10_Wiki/Topics/Other/코드베이스_맵과_대화형_투어_Codebase_Maps_&_Interactive_Tours.md
+++ b/10_Wiki/Topics/Other/코드베이스_맵과_대화형_투어_Codebase_Maps_&_Interactive_Tours.md
@@ -4,7 +4,7 @@ title: "코드베이스 맵과 대화형 투어 (Codebase Maps & Interactive Tou
 category: 10_Wiki/Topics
 status: duplicate
 canonical_id: codebase-maps-and-interactive-tours
-duplicate_of: "[[Codebase-Maps-and-Interactive-Tours]]"
+duplicate_of: "[[Codebase Maps and Interactive Tours]]"
 aliases: []
 source_trust_level: A
 confidence_score: 0.9
@@ -16,7 +16,7 @@ github_commit: pending
 
 # 코드베이스 맵과 대화형 투어 (Codebase Maps & Interactive Tours)
 
-> **이 문서는 [[Codebase-Maps-and-Interactive-Tours]] 의 중복본입니다.** Canonical 문서로 redirect.
+> **이 문서는 [[Codebase Maps and Interactive Tours]] 의 중복본입니다.** Canonical 문서로 redirect.
 
 ## 핵심 요약
 - Onboarding 가속: 매 new dev 의 module dependency 이해 단축.
@@ -24,7 +24,7 @@ github_commit: pending
 - LLM-augmented walkthrough: Claude Opus 4.7 inline explanation.
 
 ## 🔗 Graph
-- 부모: [[Codebase-Maps-and-Interactive-Tours]] (canonical)
+- 부모: [[Codebase Maps and Interactive Tours]] (canonical)
 - 인접: [[Pull_Request_and_Issue_Tracking|Pull-Requests-and-Issue-Tracking]]
 
 ## 🕓 변경 이력
diff --git a/10_Wiki/Topics/Other/텔레메트리 데이터 (Telemetry Data).md b/10_Wiki/Topics/Other/텔레메트리 데이터 (Telemetry Data).md
index 02e3b802..72f10201 100644
--- a/10_Wiki/Topics/Other/텔레메트리 데이터 (Telemetry Data).md	
+++ b/10_Wiki/Topics/Other/텔레메트리 데이터 (Telemetry Data).md	
@@ -24,7 +24,7 @@ github_commit: pending
 - ClickHouse, BigQuery, Snowflake — 2026 modern stack.
 
 ## 🔗 Graph
-- 변형: [[텔레메트리 (Telemetry).]] · [[텔레메트리(Telemetry) 데이터 분석]]
+- 변형: [[텔레메트리 (Telemetry)]] · [[텔레메트리(Telemetry) 데이터 분석]]
 
 ## 🕓 변경 이력
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/Pay-to-win.md b/10_Wiki/Topics/Pay-to-win.md
index f5854491..b8090993 100644
--- a/10_Wiki/Topics/Pay-to-win.md
+++ b/10_Wiki/Topics/Pay-to-win.md
@@ -27,8 +27,8 @@ Pay-to-win(P2W)은 게임 내에서 생존과 우위를 점하기 위해 지속
 * **비판과 시장의 평가:** 이와 같은 무자비한 Pay-to-win 메커니즘은 'Game of War'뿐만 아니라 동일한 구조를 차용한 'Final Fantasy XV: A New Empire' 등의 파생 게임에서도 "Pay-to-win 쓰레기(junk)", "광고에 의존하는 개발자의 노골적인 돈벌이(cash grab)"라는 언론과 유저들의 거센 비판을 받았습니다. [10, 11] 
 
 ## 🔗 지식 연결 (Graph)
-- **Related Topics:** [[Monetization]], [[Permanent_Loss|Permanent Loss]], [[게임_디자인_및_가상_경제_시스템|VIP System]]
-- **Projects/Contexts:** , [[Final Fantasy XV: A New Empire]]
+- **Related Topics:** [[Monetization]], [[Permanent_Loss|Permanent Loss]], [[게임 디자인 및 가상 경제 시스템|VIP System]]
+- **Projects/Contexts:** , [[Final Fantasy XV - A New Empire]]
 - **Contradictions/Notes:** 리뷰어들과 연구자들은 Pay-to-win 시스템을 불공정하고 약탈적인 과금 유도라고 비판하지만 [10-12], 소스 [6]에서는 돈이 많은 사람이 권력의 자리에 오르는 현실의 자본주의를 그대로 반영한 것으로 볼 수 있다는 시각도 존재함을 언급합니다.
 
 ---
diff --git a/10_Wiki/Topics/Pragmatics.md b/10_Wiki/Topics/Pragmatics.md
index 05cdeba5..25a89ca6 100644
--- a/10_Wiki/Topics/Pragmatics.md
+++ b/10_Wiki/Topics/Pragmatics.md
@@ -36,7 +36,7 @@ inferred_by: Claude Opus 4.7 (auto-normalize 2026-05-08)
 - **영어 중심주의 탈피**: 현재 화용론 데이터셋의 대부분이 영어 중심적임. 다국어/다문화 환경에서의 화용론적 오해를 방지하기 위한 '교차 언어적 화용론' 연구가 Antigravity의 향후 관심사임.
 
 ## 🔗 지식 연결 (Graph)
-- [[Conversational-Maxims|Conversational-Maxims]], [[Cognitive-Bias|Cognitive-Bias]], [[AI_Safety_and_Alignment|AI-Alignment]], [[NLP|NLP]]
+- [[Conversational-Maxims|Conversational-Maxims]], [[Cognitive Bias|Cognitive-Bias]], [[AI_Safety_and_Alignment|AI-Alignment]], [[NLP|NLP]]
 - **Raw Source**: Datacollector_MAC/out_wiki/화용론 (Pragmatics).md
 ---
 
diff --git a/10_Wiki/Topics/Prefrontal-Cortex.md b/10_Wiki/Topics/Prefrontal-Cortex.md
index 892c755d..4e701c63 100644
--- a/10_Wiki/Topics/Prefrontal-Cortex.md
+++ b/10_Wiki/Topics/Prefrontal-Cortex.md
@@ -36,7 +36,7 @@ inferred_by: Claude Opus 4.7 (auto-normalize 2026-05-08)
 - **뇌파 동기화**: 전두엽과 해마 간의 [[Theta-Gamma Coupling|세타-감마 결합]]이 인지적 조율의 핵심이며, 이 연결이 손상될 경우 지능적 활동에 심각한 결함이 발생함.
 
 ## 🔗 지식 연결 (Graph)
-- [[Executive-Dysfunction|Executive-Dysfunction]], [[Global-Neuronal-Workspace|Global-Neuronal-Workspace]], [[Theta-Gamma Coupling|Theta-Gamma-Coupling]], [[Working-Memory|Working-Memory]]
+- [[Executive-Dysfunction|Executive-Dysfunction]], [[Global-Neuronal-Workspace|Global-Neuronal-Workspace]], [[Theta-Gamma Coupling|Theta-Gamma-Coupling]], [[Working Memory|Working-Memory]]
 - **Raw Source**: Datacollector_MAC/out_wiki/전두엽 (Prefrontal Cortex).md
 ---
 
diff --git a/10_Wiki/Topics/Programming & Language/Code Minification.md b/10_Wiki/Topics/Programming & Language/Code Minification.md
index 35687dc5..f5386ecb 100644
--- a/10_Wiki/Topics/Programming & Language/Code Minification.md	
+++ b/10_Wiki/Topics/Programming & Language/Code Minification.md	
@@ -135,7 +135,7 @@ const heavyConst = /*#__PURE__*/ buildHeavy();
 
 ## 🔗 Graph
 - 부모: [[Web_Performance]]
-- 변형: [[Code_Splitting]] · [[Compression]]
+- 변형: [[Code Splitting]] · [[Compression]]
 - 응용: [[Bundle_Analysis]] · [[Source_Maps]]
 - Adjacent: [[esbuild]] · [[Vite]] · [[Rollup]]
 
diff --git a/10_Wiki/Topics/Programming & Language/DOM 요소 조작 및 타입 좁히기.md b/10_Wiki/Topics/Programming & Language/DOM 요소 조작 및 타입 좁히기.md
index 656a4822..5f1cf114 100644
--- a/10_Wiki/Topics/Programming & Language/DOM 요소 조작 및 타입 좁히기.md	
+++ b/10_Wiki/Topics/Programming & Language/DOM 요소 조작 및 타입 좁히기.md	
@@ -151,7 +151,7 @@ const handlers = {
 ## 🔗 Graph
 - 부모: [[TypeScript]] · [[DOM]]
 - 변형: [[Discriminated_Unions]]
-- 응용: [[DOM_요소_조작]] · [[Web_Components]]
+- 응용: [[DOM 요소 조작]] · [[Web_Components]]
 
 ## 🤖 LLM 활용
 **언제**: helper 작성, type guard 추출, refactor untyped jQuery → typed TS.
diff --git a/10_Wiki/Topics/Programming & Language/DOM 요소 조작.md b/10_Wiki/Topics/Programming & Language/DOM 요소 조작.md
index b7148628..a26eba23 100644
--- a/10_Wiki/Topics/Programming & Language/DOM 요소 조작.md	
+++ b/10_Wiki/Topics/Programming & Language/DOM 요소 조작.md	
@@ -168,7 +168,7 @@ list.append(frag);   // 매 single reflow
 
 ## 🔗 Graph
 - 부모: [[DOM]]
-- 변형: [[DOM_요소_조작_및_타입_좁히기]] · [[Shadow_DOM]]
+- 변형: [[DOM 요소 조작 및 타입 좁히기]] · [[Shadow_DOM]]
 - 응용: [[Web_Components]] · [[Hotwire]]
 - Adjacent: [[IntersectionObserver]] · [[MutationObserver]]
 
diff --git a/10_Wiki/Topics/Programming & Language/Flame Chart.md b/10_Wiki/Topics/Programming & Language/Flame Chart.md
index c425a280..64a7a83e 100644
--- a/10_Wiki/Topics/Programming & Language/Flame Chart.md	
+++ b/10_Wiki/Topics/Programming & Language/Flame Chart.md	
@@ -99,7 +99,7 @@ npx speedscope profile.cpuprofile
 - 부모: [[Performance_Profiling_and_Memory|Performance Profiling]] · [[Chrome DevTools(크롬 개발자 도구)]]
 - 변형: [[할당 타임라인(Allocation Timeline)]]
 - 응용: [[Nodejs 성능 디버깅]] · [[SPA 라우트 전환 성능 최적화]]
-- Adjacent: [[Core Web Vitals Optimization (INP, LCP 개선)|Cumulative Layout Shift (CLS)]] · [[Google Lighthouse]]
+- Adjacent: [[Core Web Vitals Optimization (INP, LCP, CLS)|Cumulative Layout Shift (CLS)]] · [[Google Lighthouse]]
 
 ## 🤖 LLM 활용
 **언제**: 매 latency / jank / unknown bottleneck 발견 → flame chart 의 first tool.
diff --git a/10_Wiki/Topics/Programming & Language/Generational Hypothesis.md b/10_Wiki/Topics/Programming & Language/Generational Hypothesis.md
index 0f688a00..fbf247b4 100644
--- a/10_Wiki/Topics/Programming & Language/Generational Hypothesis.md	
+++ b/10_Wiki/Topics/Programming & Language/Generational Hypothesis.md	
@@ -4,7 +4,7 @@ title: Generational Hypothesis
 category: 10_Wiki/Topics
 status: duplicate
 canonical_id: wiki-2026-0508-garbage-collection
-duplicate_of: "[[Garbage Collection (가비지 컬렉션)]]"
+duplicate_of: "[[Garbage Collection(가비지 컬렉션)]]"
 aliases: [Weak Generational Hypothesis]
 source_trust_level: A
 confidence_score: 0.9
@@ -16,7 +16,7 @@ github_commit: pending
 
 # Generational Hypothesis
 
-> **이 문서는 [[Garbage Collection (가비지 컬렉션)]] 의 중복본입니다.** Canonical 문서로 redirect.
+> **이 문서는 [[Garbage Collection(가비지 컬렉션)]] 의 중복본입니다.** Canonical 문서로 redirect.
 
 ## 핵심 요약
 - 매 "most objects die young" — Lieberman & Hewitt 1984.
@@ -24,7 +24,7 @@ github_commit: pending
 - V8 Orinoco, JVM G1/ZGC 의 design foundation.
 
 ## 🔗 Graph
-- 부모: [[Garbage Collection (가비지 컬렉션)]] (canonical)
+- 부모: [[Garbage Collection(가비지 컬렉션)]] (canonical)
 - Adjacent: [[Orinoco 가비지 컬렉터]] · [[Old Space]] · [[Mark-Sweep-Compact 알고리즘]]
 
 ## 🕓 변경 이력
diff --git a/10_Wiki/Topics/Programming & Language/Google Lighthouse.md b/10_Wiki/Topics/Programming & Language/Google Lighthouse.md
index 835f7900..18b9ea61 100644
--- a/10_Wiki/Topics/Programming & Language/Google Lighthouse.md	
+++ b/10_Wiki/Topics/Programming & Language/Google Lighthouse.md	
@@ -137,7 +137,7 @@ const report = await flow.generateReport()
 ## 🔗 Graph
 - 부모: [[Performance_Profiling_and_Memory|Performance Profiling]]
 - 응용: [[CI_CD_Pipeline|CI_CD Pipeline]] · [[Continuous Integration (CI)]]
-- Adjacent: [[Core Web Vitals Optimization (INP, LCP 개선)|Cumulative Layout Shift (CLS)]] · [[SPA 라우트 전환 성능 최적화]]
+- Adjacent: [[Core Web Vitals Optimization (INP, LCP, CLS)|Cumulative Layout Shift (CLS)]] · [[SPA 라우트 전환 성능 최적화]]
 
 ## 🤖 LLM 활용
 **언제**: pre-deploy quality gate, regression catch, web vitals tracking.
diff --git a/10_Wiki/Topics/Programming & Language/Scheduler API.md b/10_Wiki/Topics/Programming & Language/Scheduler API.md
index 033cc62e..89d607ab 100644
--- a/10_Wiki/Topics/Programming & Language/Scheduler API.md	
+++ b/10_Wiki/Topics/Programming & Language/Scheduler API.md	
@@ -101,7 +101,7 @@ startTransition(() => {
 **기본값**: 매 long loops 의 `scheduler.yield()` + 매 background work `postTask({priority:'background'})`.
 
 ## 🔗 Graph
-- 부모: [[Core Web Vitals Optimization (INP, LCP 개선)|Core_Web_Vitals]]
+- 부모: [[Core Web Vitals Optimization (INP, LCP, CLS)|Core_Web_Vitals]]
 - 응용: [[INP_Optimization]]
 - Adjacent: [[AbortController]] · [[React_useTransition]]
 
diff --git a/10_Wiki/Topics/Programming & Language/ts-brand.md b/10_Wiki/Topics/Programming & Language/ts-brand.md
index fd08ff3a..53fa2876 100644
--- a/10_Wiki/Topics/Programming & Language/ts-brand.md	
+++ b/10_Wiki/Topics/Programming & Language/ts-brand.md	
@@ -121,8 +121,8 @@ function clean(s: string): Clean {
 
 ## 🔗 Graph
 - 부모: [[TypeScript]] · [[Nominal-Typing-in-TypeScript|Nominal Typing]]
-- 변형: [[Branded Types]] · [[Opaque Types]]
-- 응용: [[Zod]] · [[Effect-TS]] · [[Type Safety]]
+- 변형: [[Branded Types]] · [[Opaque Types (TypeScript)]]
+- 응용: [[Zod]] · [[Effect TS]] · [[Type Safety]]
 - Adjacent: [[Structural Typing]] · [[Runtime Validation]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Programming & Language/객체 지향 프로그래밍 (OOP).md b/10_Wiki/Topics/Programming & Language/객체 지향 프로그래밍 (OOP).md
index 636a7f5c..3517312d 100644
--- a/10_Wiki/Topics/Programming & Language/객체 지향 프로그래밍 (OOP).md	
+++ b/10_Wiki/Topics/Programming & Language/객체 지향 프로그래밍 (OOP).md	
@@ -4,7 +4,7 @@ title: 객체 지향 프로그래밍 (OOP)
 category: 10_Wiki/Topics
 status: duplicate
 canonical_id: object-oriented-programming
-duplicate_of: "[[Object-Oriented Programming]]"
+duplicate_of: "[[Object-Oriented Programming (OOP)]]"
 aliases: []
 source_trust_level: A
 confidence_score: 0.9
@@ -16,14 +16,14 @@ github_commit: pending
 
 # 객체 지향 프로그래밍 (OOP)
 
-> **이 문서는 [[Object-Oriented Programming]] 의 중복본입니다.** Canonical 문서로 redirect.
+> **이 문서는 [[Object-Oriented Programming (OOP)]] 의 중복본입니다.** Canonical 문서로 redirect.
 
 ## 핵심 요약
 - 매 4 기둥: encapsulation, inheritance, polymorphism, abstraction.
 - 매 modern: composition over inheritance.
 
 ## 🔗 Graph
-- 부모: [[Object-Oriented Programming]] (canonical)
+- 부모: [[Object-Oriented Programming (OOP)]] (canonical)
 - Adjacent: [[SOLID 원칙]] · [[Design Patterns]]
 
 ## 🕓 변경 이력
diff --git a/10_Wiki/Topics/Programming & Language/객체 지향 프로그래밍(OOP).md b/10_Wiki/Topics/Programming & Language/객체 지향 프로그래밍(OOP).md
index ea129858..1dc61719 100644
--- a/10_Wiki/Topics/Programming & Language/객체 지향 프로그래밍(OOP).md	
+++ b/10_Wiki/Topics/Programming & Language/객체 지향 프로그래밍(OOP).md	
@@ -4,7 +4,7 @@ title: 객체 지향 프로그래밍(OOP)
 category: 10_Wiki/Topics
 status: duplicate
 canonical_id: object-oriented-programming
-duplicate_of: "[[Object-Oriented Programming]]"
+duplicate_of: "[[Object-Oriented Programming (OOP)]]"
 aliases: []
 source_trust_level: A
 confidence_score: 0.9
@@ -16,13 +16,13 @@ github_commit: pending
 
 # 객체 지향 프로그래밍(OOP)
 
-> **이 문서는 [[Object-Oriented Programming]] 의 중복본입니다.** Canonical 문서로 redirect.
+> **이 문서는 [[Object-Oriented Programming (OOP)]] 의 중복본입니다.** Canonical 문서로 redirect.
 
 ## 핵심 요약
 - 매 spacing 만 다른 동일 concept.
 
 ## 🔗 Graph
-- 부모: [[Object-Oriented Programming]] (canonical)
+- 부모: [[Object-Oriented Programming (OOP)]] (canonical)
 
 ## 🕓 변경 이력
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/Programming & Language/대규모 TypeScript 애플리케이션 아키텍처 설계.md b/10_Wiki/Topics/Programming & Language/대규모 TypeScript 애플리케이션 아키텍처 설계.md
index 6b8093a6..b9d0b320 100644
--- a/10_Wiki/Topics/Programming & Language/대규모 TypeScript 애플리케이션 아키텍처 설계.md	
+++ b/10_Wiki/Topics/Programming & Language/대규모 TypeScript 애플리케이션 아키텍처 설계.md	
@@ -209,7 +209,7 @@ await generate({
 ## 🔗 Graph
 - 부모: [[Software Architecture]] · [[TypeScript]]
 - 변형: [[Cloud_Native|Modular Monolith]] · [[Hexagonal Architecture]] · [[Clean Architecture]]
-- 응용: [[Turborepo]] · [[Effect-TS]]
+- 응용: [[Turborepo]] · [[Effect TS]]
 - Adjacent: [[브랜디드 타입 (Branded Types)]] · [[Domain-Driven Design]] · [[Project References]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Programming & Language/모놀리식 아키텍처 (Monolithic Architecture).md b/10_Wiki/Topics/Programming & Language/모놀리식 아키텍처 (Monolithic Architecture).md
index 04a1ed43..d5480857 100644
--- a/10_Wiki/Topics/Programming & Language/모놀리식 아키텍처 (Monolithic Architecture).md	
+++ b/10_Wiki/Topics/Programming & Language/모놀리식 아키텍처 (Monolithic Architecture).md	
@@ -171,7 +171,7 @@ module.exports = {
 ## 🔗 Graph
 - 부모: [[Software Architecture]]
 - 변형: [[Cloud_Native|Modular Monolith]] · [[Layered Architecture]] · [[Distributed Monolith]]
-- Adjacent: [[Microservices]] · [[Service-Oriented Architecture]]
+- Adjacent: [[Microservices]] · [[Service-oriented Architecture (SOA)]]
 
 ## 🤖 LLM 활용
 **언제**: MVP 설계, 매 small-team product, 매 strong consistency 요구, 매 deployment simplicity 우선.
diff --git a/10_Wiki/Topics/Programming & Language/브랜디드 타입 (Branded Types).md b/10_Wiki/Topics/Programming & Language/브랜디드 타입 (Branded Types).md
index 2b705452..721cadc2 100644
--- a/10_Wiki/Topics/Programming & Language/브랜디드 타입 (Branded Types).md	
+++ b/10_Wiki/Topics/Programming & Language/브랜디드 타입 (Branded Types).md	
@@ -168,7 +168,7 @@ function deleteBucket(token: AdminToken) { /* ... */ }
 
 ## 🔗 Graph
 - 부모: [[TypeScript Type System]] · [[Nominal-Typing-in-TypeScript|Nominal Typing]]
-- 변형: [[Opaque Types]]
+- 변형: [[Opaque Types (TypeScript)]]
 - Adjacent: [[Parse Don't Validate]]
 
 ## 🤖 LLM 활용
diff --git a/10_Wiki/Topics/Programming & Language/오버드로우(Overdraw).md b/10_Wiki/Topics/Programming & Language/오버드로우(Overdraw).md
index 000cf798..74d720ab 100644
--- a/10_Wiki/Topics/Programming & Language/오버드로우(Overdraw).md	
+++ b/10_Wiki/Topics/Programming & Language/오버드로우(Overdraw).md	
@@ -25,7 +25,7 @@ github_commit: pending
 
 ## 🔗 Graph
 - 부모: [[Overdraw]] (canonical)
-- Adjacent: [[Fillrate]] · [[Z-Prepass]]
+- Adjacent: [[Fill Rate]] · [[Z-Prepass]]
 
 ## 🕓 변경 이력
 | 날짜 | 변경 |
diff --git a/10_Wiki/Topics/Programming & Language/할당 타임라인(Allocation Timeline).md b/10_Wiki/Topics/Programming & Language/할당 타임라인(Allocation Timeline).md
index f9a79a67..1bce408c 100644
--- a/10_Wiki/Topics/Programming & Language/할당 타임라인(Allocation Timeline).md	
+++ b/10_Wiki/Topics/Programming & Language/할당 타임라인(Allocation Timeline).md	
@@ -164,7 +164,7 @@ function track(obj, name) {
 - 부모: [[Performance_Profiling_and_Memory|Performance Profiling]] · [[Memory Management]]
 - 변형: [[Nodejs_and_Backend_Optimization|Heap Snapshot]]
 - 응용: [[Memory Leak Detection]]
-- Adjacent: [[Chrome DevTools 메모리 프로파일링|Chrome DevTools]] · [[V8 Engine]]
+- Adjacent: [[Chrome DevTools Memory Profiling|Chrome DevTools]] · [[V8 Engine]]
 
 ## 🤖 LLM 활용
 **언제**: User 가 "page slow over time" / "memory grows" / "browser crashes after 1h" 의 report 시. 매 Allocation timeline 의 first action.
diff --git a/10_Wiki/Topics/Project_Logs/2026-05-01.md b/10_Wiki/Topics/Project_Logs/2026-05-01.md
index f59e41c3..aa590b1c 100644
--- a/10_Wiki/Topics/Project_Logs/2026-05-01.md
+++ b/10_Wiki/Topics/Project_Logs/2026-05-01.md
@@ -1313,4 +1313,4 @@ if __name__ == "__main__":
 * [[developer]]
 * [[goal]]
 * [[researcher]]
-* [[수익화 전략]]
+* [[수익화 전략]]
diff --git a/10_Wiki/Topics/Thinking & Reasoning/위키 ScienceDirect 2026-05-20 copy.md b/10_Wiki/Topics/Thinking & Reasoning/위키 ScienceDirect 2026-05-20 copy.md
index bdc602c7..d0ffd6db 100644
--- a/10_Wiki/Topics/Thinking & Reasoning/위키 ScienceDirect 2026-05-20 copy.md	
+++ b/10_Wiki/Topics/Thinking & Reasoning/위키 ScienceDirect 2026-05-20 copy.md	
@@ -19,7 +19,7 @@ applied_in: []
 github_commit: ""
 ---
 
-# [[위키 ScienceDirect 2026-05-20 copy]]
+# [[ScienceDirect]]
 
 ## 🎯 한 줄 통찰 (One-line insight)
 요청된 콘텐츠를 제공하는 데 기술적인 문제가 발생했음을 알리며, 문제 해결을 위해 상세한 디버깅 정보를 수집하고 지원팀에 연락하도록 안내하는 오류 보고서입니다.
diff --git a/10_Wiki/Topics/Thinking & Reasoning/위키 What is Logical thinking- 2026-05-20 copy.md b/10_Wiki/Topics/Thinking & Reasoning/위키 What is Logical thinking- 2026-05-20 copy.md
index 2eb42545..00083be3 100644
--- a/10_Wiki/Topics/Thinking & Reasoning/위키 What is Logical thinking- 2026-05-20 copy.md	
+++ b/10_Wiki/Topics/Thinking & Reasoning/위키 What is Logical thinking- 2026-05-20 copy.md	
@@ -19,7 +19,7 @@ applied_in: []
 github_commit: ""
 ---
 
-# [[위키 What is Logical thinking- 2026-05-20 copy]]
+# [[What is Logical thinking?]]
 
 ## 🎯 한 줄 통찰 (One-line insight)
 [[논리적 사고]]는 상황을 분석하고 합리적인 해결책을 도출하는 과정으로, 객관적인 추론 능력을 활용하여 문제에 접근하고 진행 방법에 대한 논리적 결론을 내리는 능력이다.
diff --git a/10_Wiki/Topics/Transformer_Architecture_and_LLM_Foundations.md b/10_Wiki/Topics/Transformer_Architecture_and_LLM_Foundations.md
index c650481a..a0e8a47d 100644
--- a/10_Wiki/Topics/Transformer_Architecture_and_LLM_Foundations.md
+++ b/10_Wiki/Topics/Transformer_Architecture_and_LLM_Foundations.md
@@ -56,8 +56,8 @@ tech_stack:
 
 ## 🔗 지식 연결 (Graph)
 - **Parent:** [[10_Wiki/Topics]]
-- **Related:** [[데이터_사이언스_및_ML_엔지니어링|Neural_Networks_and_Deep_Learning_Foundations]], [[데이터_사이언스_및_ML_엔지니어링|Reinforcement_Learning_and_Decision_Making]]
-- **Redirects:** [[Transformer]], [[Attention_Mechanism]], [[Transformer_Architecture_and_LLM_Foundations|BERT]], [[GPT]], [[Transformer_Architecture_and_LLM_Foundations|LLM_Fundamentals]]
+- **Related:** [[데이터 사이언스 및 ML 엔지니어링|Neural_Networks_and_Deep_Learning_Foundations]], [[데이터 사이언스 및 ML 엔지니어링|Reinforcement_Learning_and_Decision_Making]]
+- **Redirects:** [[Transformer]], [[Attention Mechanism]], [[Transformer_Architecture_and_LLM_Foundations|BERT]], [[GPT]], [[Transformer_Architecture_and_LLM_Foundations|LLM_Fundamentals]]
 
 ---
 *Last updated: 2026-05-08*
diff --git a/10_Wiki/Topics/UI_UX_Assets/Design & Experience/TypeScript 라이브러리 타입 확장.md b/10_Wiki/Topics/UI_UX_Assets/Design & Experience/TypeScript 라이브러리 타입 확장.md
index b6eb8e0e..7704ac5c 100644
--- a/10_Wiki/Topics/UI_UX_Assets/Design & Experience/TypeScript 라이브러리 타입 확장.md	
+++ b/10_Wiki/Topics/UI_UX_Assets/Design & Experience/TypeScript 라이브러리 타입 확장.md	
@@ -35,7 +35,7 @@ tech_stack:
 
 ## 🔗 지식 연결 (Graph)
 - **Related Topics:** [[선언 병합(Declaration Merging)]], [[Type_Alias|Type Alias]], [[교집합 타입(Intersection Type)]]
-- **Projects/Contexts:** [[외부 라이브러리 API 설계]], [[TypeScript 컴파일러 캐싱 최적화]], [[선언 파일(.d.ts)]]
+- **Projects/Contexts:** [[외부 라이브러리 API 설계]], [[TypeScript 컴파일러 캐싱 최적화]], [[선언 파일(dts)]]
 - **Contradictions/Notes:** 애플리케이션 내부 코드의 경우, 인터페이스의 확장성을 '의도치 않은 속성 병합(Bad Thing)'으로 간주하여 타입 별칭(Type Alias)의 사용을 선호하는 실무적 의견이 다수 존재합니다 [4, 10-12]. 하지만 외부 패키지나 라이브러리 생태계에서는 여전히 사용자에게 타입 확장을 허용하기 위해 인터페이스를 채택하는 것이 정석으로 평가받고 있습니다 [2, 3]. 또한, 객체를 확장할 때 교집합(`&`) 방식은 유연해 보이지만, 성능 이슈와 충돌 검사 한계로 인해 `interface extends` 방식에 비해 상대적으로 지양됩니다 [5, 7, 13].
 
 ---
diff --git a/10_Wiki/Topics/UI_UX_Assets/Design & Experience/TypeScript 인터페이스 및 시스템 보호 아키텍처 설계.md b/10_Wiki/Topics/UI_UX_Assets/Design & Experience/TypeScript 인터페이스 및 시스템 보호 아키텍처 설계.md
index e9b28133..7ad3b638 100644
--- a/10_Wiki/Topics/UI_UX_Assets/Design & Experience/TypeScript 인터페이스 및 시스템 보호 아키텍처 설계.md	
+++ b/10_Wiki/Topics/UI_UX_Assets/Design & Experience/TypeScript 인터페이스 및 시스템 보호 아키텍처 설계.md	
@@ -41,7 +41,7 @@ tech_stack:
 - **정책 변화:** Design & Experience 분야의 자동 자산화 수행.
 
 ## 🔗 지식 연결 (Graph)
-- **Related Topics:** [[구조적 타이핑 (Structural Typing)]], [[과잉 속성 체크 (Excess Property Checking)]], [[재귀적 불변성 (DeepReadonly)]], [[브랜디드 타입 (Branded Types)]], [[SOLID 원칙]]
+- **Related Topics:** [[구조적 타이핑(Structural Typing)]], [[과잉 속성 체크 (Excess Property Checking)]], [[재귀적 불변성 (DeepReadonly)]], [[브랜디드 타입 (Branded Types)]], [[SOLID 원칙]]
 - **Projects/Contexts:** [[Toss Front SDK의 Facade 패턴 적용 사례]]
 - **Contradictions/Notes:** TypeScript의 구조적 타이핑은 최소 요건만 충족하면 호환성을 허용하므로 매우 유연하지만, 이메일 주소와 이름이 같은 `string`으로 취급되는 등 "기본 타입에의 집착(Primitive Obsession)" 문제를 야기한다 [11]. 이를 방어하기 위해 컴파일 시점에만 존재하는 고유 속성을 부여하는 브랜디드 타입(Branded Types)을 사용하여 데이터의 무분별한 혼용을 차단해야 한다 [10, 11].
 
diff --git a/10_Wiki/Topics/UI_UX_Assets/Design & Experience/TypeScript의 인터페이스 및 객체 타입 설계.md b/10_Wiki/Topics/UI_UX_Assets/Design & Experience/TypeScript의 인터페이스 및 객체 타입 설계.md
index 671b41fc..2b6c8d61 100644
--- a/10_Wiki/Topics/UI_UX_Assets/Design & Experience/TypeScript의 인터페이스 및 객체 타입 설계.md	
+++ b/10_Wiki/Topics/UI_UX_Assets/Design & Experience/TypeScript의 인터페이스 및 객체 타입 설계.md	
@@ -48,7 +48,7 @@ TypeScript의 객체 타입은 명목적 타이핑(Nominal Typing)과 달리 명
 - **정책 변화:** Design & Experience 분야의 자동 자산화 수행.
 
 ## 🔗 지식 연결 (Graph)
-- **Related Topics:** [[구조적 타이핑 (Structural Typing)]], [[초과 속성 검사 (Excess Property Checking)]], [[선언 병합 (Declaration Merging)]], [[satisfies 연산자]]
+- **Related Topics:** [[구조적 타이핑(Structural Typing)]], [[초과 속성 검사 (Excess Property Checking)]], [[선언 병합(Declaration Merging)]], [[satisfies 연산자]]
 - **Contradictions/Notes:** 소스 간 의견 대립이 존재합니다. 일부 개발자(소스 52, 138, 141)는 캐싱 성능 최적화와 외부 확장을 위한 선언 병합 기능 때문에 '인터페이스(Interface) 우선 사용'을 강력히 주장하지만, 또 다른 현업 개발자(소스 138, 140, 147)는 의도치 않은 선언 병합으로 인해 런타임 로직이 오염될 위험과 일관된 문법을 이유로 '모든 상황에서 타입 별칭(Type)만을 사용하는 규칙'을 조직 내에 강제하는 것이 장기 유지보수에 유리하다고 반박합니다.
 
 ---
diff --git a/10_Wiki/Topics/UI_UX_Assets/Design & Experience/라이브러리 타입 선언 (dts) 확장.md b/10_Wiki/Topics/UI_UX_Assets/Design & Experience/라이브러리 타입 선언 (dts) 확장.md
index 35bef07e..32a02400 100644
--- a/10_Wiki/Topics/UI_UX_Assets/Design & Experience/라이브러리 타입 선언 (dts) 확장.md	
+++ b/10_Wiki/Topics/UI_UX_Assets/Design & Experience/라이브러리 타입 선언 (dts) 확장.md	
@@ -38,7 +38,7 @@ tech_stack:
 - **정책 변화:** Design & Experience 분야의 자동 자산화 수행.
 
 ## 🔗 지식 연결 (Graph)
-- **Related Topics:** , [[선언 병합(Declaration Merging)]], [[타입 별칭(Type Alias)]]
+- **Related Topics:** , [[선언 병합(Declaration Merging)]], [[타입 별칭 (Type Alias)]]
 - **Contradictions/Notes:** 소스에 따르면, 일반적인 애플리케이션 코드 작성 시에는 엄격한 관리가 가능한 타입 별칭(Type)을 선호하는 실무 의견이 많지만, 외부 라이브러리 사용자가 타입을 확장해야 하는 특수한 상황에서는 선언 병합이 가능한 인터페이스(Interface)가 절대적으로 더 적합하다는 뚜렷한 용도 차이를 보입니다 [1, 2, 5, 7].
 
 ---
diff --git a/10_Wiki/Topics/UI_UX_Assets/Design & Experience/바운디드 컨텍스트 (Bounded Context).md b/10_Wiki/Topics/UI_UX_Assets/Design & Experience/바운디드 컨텍스트 (Bounded Context).md
index 798a1640..57d81a55 100644
--- a/10_Wiki/Topics/UI_UX_Assets/Design & Experience/바운디드 컨텍스트 (Bounded Context).md	
+++ b/10_Wiki/Topics/UI_UX_Assets/Design & Experience/바운디드 컨텍스트 (Bounded Context).md	
@@ -34,7 +34,7 @@ tech_stack:
 - **정책 변화:** Design & Experience 분야의 자동 자산화 수행.
 
 ## 🔗 지식 연결 (Graph)
-- **Related Topics:** , [[마이크로서비스 아키텍처 (Microservices Architecture)]], [[관심사의 분리 (Separation of Concerns, SoC)]]
+- **Related Topics:** , [[마이크로서비스 아키텍처 (Microservices Architecture)]], [[관심사의 분리 Separation of Concerns, SoC]]
 - **Projects/Contexts:** 복잡한 비즈니스 도메인 모델링 [1], 객체 지향 및 모듈러 소프트웨어 시스템 설계 [3, 5], 마이크로서비스로의 서비스 분리 및 마이그레이션 [2]
 - **Contradictions/Notes:** 소스 내에 바운디드 컨텍스트의 효용이나 개념에 대한 상반된 주장은 존재하지 않으며, 일관되게 시스템 복잡성 완화와 마이크로서비스 확장을 위한 핵심 기반으로 설명되고 있습니다.
 
diff --git a/10_Wiki/Topics/UI_UX_Assets/Design & Experience/상태 모델링 (State Modeling).md b/10_Wiki/Topics/UI_UX_Assets/Design & Experience/상태 모델링 (State Modeling).md
index be471853..abba9c19 100644
--- a/10_Wiki/Topics/UI_UX_Assets/Design & Experience/상태 모델링 (State Modeling).md	
+++ b/10_Wiki/Topics/UI_UX_Assets/Design & Experience/상태 모델링 (State Modeling).md	
@@ -35,7 +35,7 @@ tech_stack:
 - **정책 변화:** Design & Experience 분야의 자동 자산화 수행.
 
 ## 🔗 지식 연결 (Graph)
-- **Related Topics:** , [[완전성 검사 (Exhaustiveness Checking)]]
+- **Related Topics:** , [[완전성 검사(Exhaustiveness Checking)]]
 - **Contradictions/Notes:** 소스에 관련 정보가 부족합니다.
 
 ---
diff --git a/10_Wiki/Topics/UI_UX_Assets/Design & Experience/선언 병합(Declaration Merging).md b/10_Wiki/Topics/UI_UX_Assets/Design & Experience/선언 병합(Declaration Merging).md
index 82085f57..f6d4ee5a 100644
--- a/10_Wiki/Topics/UI_UX_Assets/Design & Experience/선언 병합(Declaration Merging).md	
+++ b/10_Wiki/Topics/UI_UX_Assets/Design & Experience/선언 병합(Declaration Merging).md	
@@ -34,7 +34,7 @@ tech_stack:
 - **정책 변화:** Design & Experience 분야의 자동 자산화 수행.
 
 ## 🔗 지식 연결 (Graph)
-- **Related Topics:** , [[타입 별칭(Type Alias)]]
+- **Related Topics:** , [[타입 별칭 (Type Alias)]]
 - **Contradictions/Notes:** 소스에 따르면 라이브러리 제작 관점에서는 소비자에게 확장을 허용하는 매우 유용한 기능으로 평가받지만 [1, 4], 애플리케이션 개발 팀 관점에서는 의도치 않은 병합 버그를 유발할 수 있어 피해야 할 기능으로 강하게 반대되기도 합니다 [2, 8].
 
 ---
diff --git a/10_Wiki/Topics/UI_UX_Assets/Design & Experience/자기 효능감(Self-Efficacy).md b/10_Wiki/Topics/UI_UX_Assets/Design & Experience/자기 효능감(Self-Efficacy).md
index 62157a1f..e3e874fb 100644
--- a/10_Wiki/Topics/UI_UX_Assets/Design & Experience/자기 효능감(Self-Efficacy).md	
+++ b/10_Wiki/Topics/UI_UX_Assets/Design & Experience/자기 효능감(Self-Efficacy).md	
@@ -19,7 +19,7 @@ inferred_by: Claude Opus 4.7 (auto-merge 2026-05-08)
 # 자기 효능감(Self Efficacy)
 
 > [!IMPORTANT]
-> 이 문서는 P-Reinforce Phase 2 자동 MERGE에 의해 **[[자기 효능감 (Self-Efficacy)]]**로 통합되었습니다.
+> 이 문서는 P-Reinforce Phase 2 자동 MERGE에 의해 **[[자기 효능감(Self Efficacy)]]**로 통합되었습니다.
 
 ---
-*Redirected to: [[자기 효능감 (Self-Efficacy)]]*
+*Redirected to: [[자기 효능감(Self Efficacy)]]*
diff --git a/10_Wiki/Topics/UI_UX_Assets/Design & Experience/철벽 수비대_ - TypeScript 타입 시스템 (인터페이스 설계).md b/10_Wiki/Topics/UI_UX_Assets/Design & Experience/철벽 수비대_ - TypeScript 타입 시스템 (인터페이스 설계).md
index ab64e670..3d11d587 100644
--- a/10_Wiki/Topics/UI_UX_Assets/Design & Experience/철벽 수비대_ - TypeScript 타입 시스템 (인터페이스 설계).md	
+++ b/10_Wiki/Topics/UI_UX_Assets/Design & Experience/철벽 수비대_ - TypeScript 타입 시스템 (인터페이스 설계).md	
@@ -44,7 +44,7 @@ tech_stack:
 - **정책 변화:** Design & Experience 분야의 자동 자산화 수행.
 
 ## 🔗 지식 연결 (Graph)
-- **Related Topics:** [[구조적 타이핑 (Structural Typing)]], [[선언 병합 (Declaration Merging)]], [[브랜디드 타입 (Branded Types)]], [[satisfies 연산자]]
+- **Related Topics:** [[구조적 타이핑(Structural Typing)]], [[선언 병합(Declaration Merging)]], [[브랜디드 타입 (Branded Types)]], [[satisfies 연산자]]
 - **Contradictions/Notes:** 과잉 속성 체크(EPC)는 객체 리터럴을 직접 다룰 때만 활성화되어 간접 할당 시 우회될 수 있다는 취약점이 있으나, TypeScript 4.9부터 도입된 satisfies 연산자를 통해 이 문제를 해결하고 엄격한 속성 검사를 수행할 수 있습니다 [9, 10].
 
 ---
diff --git a/10_Wiki/Topics/UI_UX_Assets/Design & Experience/클린 아키텍처(Clean Architecture).md b/10_Wiki/Topics/UI_UX_Assets/Design & Experience/클린 아키텍처(Clean Architecture).md
index 8d65ed3a..ccb51753 100644
--- a/10_Wiki/Topics/UI_UX_Assets/Design & Experience/클린 아키텍처(Clean Architecture).md	
+++ b/10_Wiki/Topics/UI_UX_Assets/Design & Experience/클린 아키텍처(Clean Architecture).md	
@@ -49,7 +49,7 @@ tech_stack:
 - **정책 변화:** Design & Experience 분야의 자동 자산화 수행.
 
 ## 🔗 지식 연결 (Graph)
-- **Related Topics:** [[관심사의 분리(Separation of Concerns)]], [[의존성 역전 원칙(Dependency Inversion Principle)]]
+- **Related Topics:** [[관심사의 분리(Separation of Concerns)]], [[의존성 역전 원칙 (Dependency Inversion Principle)]]
 - **Contradictions/Notes:** 소스 출처 "Complete Guide to Clean Architecture - GeeksforGeeks"는 클린 아키텍처가 시스템의 장기적인 유지보수성, 테스트 가능성, 유연성을 제공한다고 강조하지만, 동시에 도입 초기에는 여러 추상화 계층을 구축해야 하므로 초기 개발 시간이 증가하고 오버엔지니어링(Over-Engineering)에 빠질 위험이 있다고 지적합니다. 따라서 실용적인 관점과의 균형 유지가 필수적입니다 [21], [19].
 
 ---
diff --git a/10_Wiki/Topics/UI_UX_Assets/Design & Experience/타입 별칭 (Type Alias).md b/10_Wiki/Topics/UI_UX_Assets/Design & Experience/타입 별칭 (Type Alias).md
index efa539ad..7e01a975 100644
--- a/10_Wiki/Topics/UI_UX_Assets/Design & Experience/타입 별칭 (Type Alias).md	
+++ b/10_Wiki/Topics/UI_UX_Assets/Design & Experience/타입 별칭 (Type Alias).md	
@@ -43,7 +43,7 @@ tech_stack:
 - **정책 변화:** Design & Experience 분야의 자동 자산화 수행.
 
 ## 🔗 지식 연결 (Graph)
-- **Related Topics:** , [[유니온 타입 (Union Types)]], [[구조적 타이핑 (Structural Typing)]], [[선언 병합 (Declaration Merging)]]
+- **Related Topics:** , [[유니온 타입(Union Types)]], [[구조적 타이핑(Structural Typing)]], [[선언 병합(Declaration Merging)]]
 - **Projects/Contexts:** [[대규모 TypeScript 프로젝트의 컴파일 성능 최적화]], [[견고한 도메인 모델 및 API 계약 설계]]
 - **Contradictions/Notes:** TypeScript 핸드북 및 성능 가이드라인은 컴파일러의 캐싱 이점과 성능 최적화를 이유로 객체 확장 시 교집합을 사용하는 타입 별칭보다 인터페이스 상속(extends)을 사용할 것을 권장합니다 [8-10]. 하지만 실무 현장에서는 의도치 않은 선언 병합을 방지하고 유연성을 얻고자 린팅(Linting) 규칙을 통해 인터페이스 사용을 아예 금지하고 타입 별칭(Type Alias)만을 전면적으로 사용하는 개발 팀들도 많아 명확한 대립이 존재합니다 [4, 6, 15].
 
diff --git a/10_Wiki/Topics/Visual_Effects/Graphics & Performance/R3F 3D 게임 환경의 메모리 관리.md b/10_Wiki/Topics/Visual_Effects/Graphics & Performance/R3F 3D 게임 환경의 메모리 관리.md
index 8f54e790..d0c3ecdf 100644
--- a/10_Wiki/Topics/Visual_Effects/Graphics & Performance/R3F 3D 게임 환경의 메모리 관리.md	
+++ b/10_Wiki/Topics/Visual_Effects/Graphics & Performance/R3F 3D 게임 환경의 메모리 관리.md	
@@ -35,7 +35,7 @@ tech_stack:
 
 ## 🔗 지식 연결 (Graph)
 - **상위 개념**: [[Threejs 자원 해제 (Dispose)]], [[Web Performance Optimization]]
-- **유사 개념**: [[Object Pooling (오브젝트 풀링)|Object Pooling]]
+- **유사 개념**: [[Object Pooling (오브젝트 풀링)|Object Pooling]]
 - **관련 기술**: [[Three.js]]
 
 ---
diff --git a/10_Wiki/Topics/Visual_Effects/Graphics & Performance/Threejs 자원 해제 (Dispose).md b/10_Wiki/Topics/Visual_Effects/Graphics & Performance/Threejs 자원 해제 (Dispose).md
index 0c830159..3fbce4f4 100644
--- a/10_Wiki/Topics/Visual_Effects/Graphics & Performance/Threejs 자원 해제 (Dispose).md	
+++ b/10_Wiki/Topics/Visual_Effects/Graphics & Performance/Threejs 자원 해제 (Dispose).md	
@@ -39,7 +39,7 @@ tech_stack:
 
 ## 🔗 지식 연결 (Graph)
 - **상위 개념**: [[Memory Management]]
-- **유사 개념**: [[Garbage Collection]], [[GPU Acceleration]], [[Object Pooling (오브젝트 풀링)|Object Pooling]]
+- **유사 개념**: [[Garbage Collection]], [[GPU Acceleration]], [[Object Pooling (오브젝트 풀링)|Object Pooling]]
 - **관련 기술**: [[Three.js]], [[WebGL]], [[WebGPU]]
 
 ---
diff --git a/10_Wiki/Topics/Visual_Effects/Graphics & Performance/XState-Library.md b/10_Wiki/Topics/Visual_Effects/Graphics & Performance/XState-Library.md
index 2e3bcba2..42394a5e 100644
--- a/10_Wiki/Topics/Visual_Effects/Graphics & Performance/XState-Library.md	
+++ b/10_Wiki/Topics/Visual_Effects/Graphics & Performance/XState-Library.md	
@@ -34,7 +34,7 @@ tech_stack:
 *   **통합 비용**: React, Vue 등 UI 프레임워크와 결합할 때 `useMachine` 같은 훅을 사용해야 하며, 기존의 단순한 `useState` 방식보다 코드 양이 늘어날 수 있다.
 
 ## 🔗 지식 연결 (Graph)
-- **유사 개념**: [[프론트엔드_및_UIUX_표준|Redux]]
+- **유사 개념**: [[프론트엔드 및 UIUX 표준|Redux]]
 - **관련 기술**: [[TypeScript]]
 
 ---
diff --git a/10_Wiki/Topics/Visual_Effects/Graphics & Performance/고성능 3D WebGL 게임 렌더링 엔진.md b/10_Wiki/Topics/Visual_Effects/Graphics & Performance/고성능 3D WebGL 게임 렌더링 엔진.md
index 7b97b0f0..7bf902ee 100644
--- a/10_Wiki/Topics/Visual_Effects/Graphics & Performance/고성능 3D WebGL 게임 렌더링 엔진.md	
+++ b/10_Wiki/Topics/Visual_Effects/Graphics & Performance/고성능 3D WebGL 게임 렌더링 엔진.md	
@@ -36,7 +36,7 @@ tech_stack:
 ## 🔗 지식 연결 (Graph)
 - **상위 개념**: [[Computer Graphics]]
 - **유사 개념**: [[GPU Acceleration]], [[Spatial Partitioning]]
-- **관련 기술**: [[Three.js]], [[Babylon.js]], [[WebGPU]]
+- **관련 기술**: [[Three.js]], [[Babylonjs]], [[WebGPU]]
 
 ---
 *Last updated: 2026-05-08*
diff --git a/10_Wiki/Topics/Visual_Effects/Graphics & Performance/브라우저 그래픽 렌더링 백엔드.md b/10_Wiki/Topics/Visual_Effects/Graphics & Performance/브라우저 그래픽 렌더링 백엔드.md
index 1de810cc..759c726c 100644
--- a/10_Wiki/Topics/Visual_Effects/Graphics & Performance/브라우저 그래픽 렌더링 백엔드.md	
+++ b/10_Wiki/Topics/Visual_Effects/Graphics & Performance/브라우저 그래픽 렌더링 백엔드.md	
@@ -4,7 +4,7 @@ title: "브라우저 그래픽 렌더링 백엔드"
 category: "10_Wiki/Topics/Visual_Effects/Graphics & Performance"
 status: duplicate
 canonical_id: wiki-2026-0508-chrome-blink-dawn
-duplicate_of: "[[Chrome (Blink/Dawn)]]"
+duplicate_of: "[[Chrome (Blink_Dawn)]]"
 aliases: []
 source_trust_level: A
 confidence_score: 0.9
@@ -16,7 +16,7 @@ github_commit: pending
 
 # 브라우저 그래픽 렌더링 백엔드
 
-> **이 문서는 [[Chrome (Blink/Dawn)]] 의 중복본입니다.** Canonical 문서로 redirect.
+> **이 문서는 [[Chrome (Blink_Dawn)]] 의 중복본입니다.** Canonical 문서로 redirect.
 
 ## 핵심 요약
 - Chromium = Blink (DOM/render tree) + Dawn (WebGPU 구현).
diff --git a/10_Wiki/Topics/Wearables API - IoT Devices.md b/10_Wiki/Topics/Wearables API - IoT Devices.md
index d410f48c..4e183547 100644
--- a/10_Wiki/Topics/Wearables API - IoT Devices.md	
+++ b/10_Wiki/Topics/Wearables API - IoT Devices.md	
@@ -18,7 +18,7 @@ tech_stack:
   framework: unspecified
 ---
 
-# [[Wearables API / IoT Devices]]
+# [[Wearables API   IoT Devices]]
 
 ## 📌 한 줄 통찰 (The Karpathy Summary)
 Wearables API 및 IoT 기기는 스마트 링, 연속 혈당 측정기(CGM), 무선 이어버드 등 다양한 건강 및 피트니스 트래커에서 발생하는 생체 데이터를 단일 플랫폼으로 통합하는 기술입니다 [1, 2]. 최근 이 기술은 기기 내장형 AI(온디바이스 AI) 및 대형 언어 모델과 결합하여, 단순한 수동적 데이터 기록을 넘어 증상이 나타나기 전에 질병을 예측하고 실시간으로 행동 지침을 제공하는 '선제적 제안(Proactive Suggestion)' 기능으로 진화하고 있습니다 [3-8].
diff --git a/10_Wiki/Topics/Web_Performance_Optimization.md b/10_Wiki/Topics/Web_Performance_Optimization.md
index 74190a5d..734b18f8 100644
--- a/10_Wiki/Topics/Web_Performance_Optimization.md
+++ b/10_Wiki/Topics/Web_Performance_Optimization.md
@@ -46,7 +46,7 @@ tech_stack:
 *   **최적화 과잉**: 과도한 이미지 압축이나 기능 제한은 사용자 경험(UX)의 질을 오히려 떨어뜨릴 수 있습니다.
 
 ## 🔗 지식 연결 (Graph)
-- **Related Topics**: [[Performance_Profiling_and_Memory]], [[프론트엔드_및_UIUX_표준|Frontend-Architecture]], [[Core Web Vitals Optimization (INP, LCP 개선)|Core-Web-Vitals]], [[SEO]]
+- **Related Topics**: [[Performance_Profiling_and_Memory]], [[프론트엔드 및 UIUX 표준|Frontend-Architecture]], [[Core Web Vitals Optimization (INP, LCP, CLS)|Core-Web-Vitals]], [[SEO]]
 - **Next Step**: HTTP/3 도입 및 에지 컴퓨팅(Edge Computing)을 통한 응답 속도 극대화 전략 수립.
 
 ---
diff --git a/10_Wiki/Topics/게임_디자인_및_가상_경제_시스템.md b/10_Wiki/Topics/게임_디자인_및_가상_경제_시스템.md
index 2d478999..43910764 100644
--- a/10_Wiki/Topics/게임_디자인_및_가상_경제_시스템.md
+++ b/10_Wiki/Topics/게임_디자인_및_가상_경제_시스템.md
@@ -94,7 +94,7 @@ github_commit: pending
 ---
 
 ## 🧬 중복 검사 (Duplicate Check)
-- **기존 유사 문서:** [[Game Design Theory]], [[Game Economy Inflation]], [[Gacha]], [[게임_디자인_및_가상_경제_시스템|VIP System]], [[게임_디자인_및_가상_경제_시스템|Staircase Monetization]], [[Baiting Tactics]] 등 120여 개
+- **기존 유사 문서:** [[Game Design Theory]], [[Game Economy Inflation]], [[Gacha]], [[게임 디자인 및 가상 경제 시스템|VIP System]], [[게임 디자인 및 가상 경제 시스템|Staircase Monetization]], [[Baiting Tactics]] 등 120여 개
 - **처리 방식:** MERGE & ARCHIVE
 - **처리 이유:** 게임 기획과 가상 경제는 뗄 수 없는 관계임에도 개별 기술 단위로 문서가 산재해 있음. 이를 하나의 통합된 '시스템 설계' 관점으로 묶어 지식의 밀도를 높임.
 
@@ -108,7 +108,7 @@ github_commit: pending
 
 ## 🔗 지식 연결 (Graph)
 - **Parent:** [[10_Wiki/Topics]]
-- **Related:** [[도메인_주도_설계(DDD)_및_소프트웨어_아키텍처]], [[심리학_및_행동과학_모델링]], [[비즈니스_전략_및_운영_프레임워크]]
+- **Related:** [[도메인 주도 설계(DDD) 및 소프트웨어 아키텍처]], [[심리학 및 행동과학 모델링]], [[비즈니스 전략 및 운영 프레임워크]]
 - **Raw Source:** Game Design 및 Economy 폴더 내 다수 파일
 
 ---
diff --git a/10_Wiki/Topics/그래픽스_및_시뮬레이션_엔지니어링.md b/10_Wiki/Topics/그래픽스_및_시뮬레이션_엔지니어링.md
index ca947818..352d85da 100644
--- a/10_Wiki/Topics/그래픽스_및_시뮬레이션_엔지니어링.md
+++ b/10_Wiki/Topics/그래픽스_및_시뮬레이션_엔지니어링.md
@@ -91,7 +91,7 @@ tech_stack:
 
 ## 🔗 지식 연결 (Graph)
 - **Parent:** [[10_Wiki/Topics]]
-- **Related:** [[데이터_사이언스_및_ML_엔지니어링]], [[현대적_웹_성능_및_사용자_경험_최적화]], [[게임_디자인_및_가상_경제_시스템]]
+- **Related:** [[데이터 사이언스 및 ML 엔지니어링]], [[현대적 웹 성능 및 사용자 경험 최적화]], [[게임 디자인 및 가상 경제 시스템]]
 - **Raw Source:** Graphics 및 Modeling 폴더 내 다수 파일
 
 ---
diff --git a/10_Wiki/Topics/데이터_사이언스_및_ML_엔지니어링.md b/10_Wiki/Topics/데이터_사이언스_및_ML_엔지니어링.md
index 0d406b95..b43fa341 100644
--- a/10_Wiki/Topics/데이터_사이언스_및_ML_엔지니어링.md
+++ b/10_Wiki/Topics/데이터_사이언스_및_ML_엔지니어링.md
@@ -87,7 +87,7 @@ tech_stack:
 ---
 
 ## 🧬 중복 검사 (Duplicate Check)
-- **기존 유사 문서:** [[Machine Learning (ML)]], [[Deep-Learning]], [[Neural Networks]], [[Generative AI]], [[Diffusion 모델 작동 원리]] 등 150여 개
+- **기존 유사 문서:** [[Machine Learning (ML)]], [[Deep Learning]], [[Neural Networks]], [[Generative AI]], [[Diffusion 모델 작동 원리]] 등 150여 개
 - **처리 방식:** MERGE
 - **처리 이유:** 기초 통계부터 딥러닝, 생성형 AI, 그리고 MLOps까지 AI 엔지니어링 전반을 다룬 수많은 중복 문서를 통합하여 전사적 AI 지능 아키텍처 표준으로 구축함.
 
diff --git a/10_Wiki/Topics/데이터_엔지니어링_표준.md b/10_Wiki/Topics/데이터_엔지니어링_표준.md
index d0be3eb4..29013055 100644
--- a/10_Wiki/Topics/데이터_엔지니어링_표준.md
+++ b/10_Wiki/Topics/데이터_엔지니어링_표준.md
@@ -74,7 +74,7 @@ tech_stack:
 ---
 
 ## 🧬 중복 검사 (Duplicate Check)
-- **기존 유사 문서:** [[Snowflake-Data-Warehousing]], [[Principles-of-Data-Connect]], [[데이터 품질 계층 (Data Quality Layer)]], [[데이터_엔지니어링_표준|Active Metadata]], [[Schema Drift]] 등
+- **기존 유사 문서:** [[Snowflake-Data-Warehousing]], [[Principles-of-Data-Connect]], [[데이터 품질 계층 (Data Quality Layer)]], [[데이터 엔지니어링 표준|Active Metadata]], [[Schema Drift]] 등
 - **처리 방식:** MERGE
 - **처리 이유:** 파편화되어 있던 데이터 창고 아키텍처, 실시간 데이터 연동 기술, 데이터 거버넌스 및 품질 관리 표준을 하나로 통합하여 '데이터 엔지니어링' 도메인의 단일 진실 공급원(Single Source of Truth)으로 구축함.
 
diff --git a/10_Wiki/Topics/도메인_주도_설계(DDD)_및_소프트웨어_아키텍처.md b/10_Wiki/Topics/도메인_주도_설계(DDD)_및_소프트웨어_아키텍처.md
index b1f53830..c198501f 100644
--- a/10_Wiki/Topics/도메인_주도_설계(DDD)_및_소프트웨어_아키텍처.md
+++ b/10_Wiki/Topics/도메인_주도_설계(DDD)_및_소프트웨어_아키텍처.md
@@ -107,7 +107,7 @@ tech_stack:
 
 ## 🔗 지식 연결 (Graph)
 - **Parent:** [[10_Wiki/Topics]]
-- **Related:** [[소프트웨어_설계_원칙_및_디자인_패턴]], [[현대적_프론트엔드_아키텍처_및_상태_관리]], [[클라우드_인프라_및_IaC_운영_표준]]
+- **Related:** [[소프트웨어 설계 원칙 및 디자인 패턴]], [[현대적 프론트엔드 아키텍처 및 상태 관리]], [[클라우드 인프라 및 IaC 운영 표준]]
 - **Raw Source:** Architecture 폴더 내 500여 개 파일
 
 ---
diff --git a/10_Wiki/Topics/백엔드_엔지니어링_및_데이터베이스_설계.md b/10_Wiki/Topics/백엔드_엔지니어링_및_데이터베이스_설계.md
index 1bbf8474..ca7f44a6 100644
--- a/10_Wiki/Topics/백엔드_엔지니어링_및_데이터베이스_설계.md
+++ b/10_Wiki/Topics/백엔드_엔지니어링_및_데이터베이스_설계.md
@@ -103,7 +103,7 @@ tech_stack:
 
 ## 🔗 지식 연결 (Graph)
 - **Parent:** [[10_Wiki/Topics]]
-- **Related:** [[도메인_주도_설계(DDD)_및_소프트웨어_아키텍처]], [[클라우드_인프라_및_IaC_운영_표준]], [[보안_및_시스템_신뢰성_표준]]
+- **Related:** [[도메인 주도 설계(DDD) 및 소프트웨어 아키텍처]], [[클라우드 인프라 및 IaC 운영 표준]], [[보안 및 시스템 신뢰성 표준]]
 - **Raw Source:** Backend 폴더 내 다수 파일
 
 ---
diff --git a/10_Wiki/Topics/생성형_AI_및_LLM_엔지니어링_표준.md b/10_Wiki/Topics/생성형_AI_및_LLM_엔지니어링_표준.md
index 37d11eaa..23a035fb 100644
--- a/10_Wiki/Topics/생성형_AI_및_LLM_엔지니어링_표준.md
+++ b/10_Wiki/Topics/생성형_AI_및_LLM_엔지니어링_표준.md
@@ -89,7 +89,7 @@ github_commit: pending
 ---
 
 ## 🧬 중복 검사 (Duplicate Check)
-- **기존 유사 문서:** [[Large Language Models (LLMs)]], [[Hallucination-in-LLMs|LLM Hallucinations]], [[Mamba]], [[FlashAttention]], [[LoRA_모델_커스텀_기법]], [[Supervised Fine-Tuning (SFT)]] 등 100여 개
+- **기존 유사 문서:** [[Large Language Models (LLMs)]], [[Hallucination-in-LLMs|LLM Hallucinations]], [[Mamba]], [[Flash Attention]], [[LoRA_모델_커스텀_기법]], [[Supervised Fine-Tuning (SFT)]] 등 100여 개
 - **처리 방식:** MERGE & ARCHIVE
 - **처리 이유:** 생성형 AI 분야의 기술 속도가 매우 빨라 관련 문서가 산발적으로 생성됨. 이를 '엔지니어링 표준'이라는 하나의 체계로 묶어 최신 기술 트렌드를 일목요연하게 파악할 수 있도록 함.
 
@@ -103,7 +103,7 @@ github_commit: pending
 
 ## 🔗 지식 연결 (Graph)
 - **Parent:** [[10_Wiki/Topics]]
-- **Related:** [[데이터_사이언스_및_ML_엔지니어링]]
+- **Related:** [[데이터 사이언스 및 ML 엔지니어링]]
 - **Raw Source:** AI 및 LLM 폴더 내 다수 파일
 
 ---
diff --git a/10_Wiki/Topics/소프트웨어_설계_원칙_및_디자인_패턴.md b/10_Wiki/Topics/소프트웨어_설계_원칙_및_디자인_패턴.md
index aaffeaa4..5f7e0b52 100644
--- a/10_Wiki/Topics/소프트웨어_설계_원칙_및_디자인_패턴.md
+++ b/10_Wiki/Topics/소프트웨어_설계_원칙_및_디자인_패턴.md
@@ -89,7 +89,7 @@ tech_stack:
 ---
 
 ## 🧬 중복 검사 (Duplicate Check)
-- **기존 유사 문서:** [[SOLID_Principles]], [[Design_Patterns]], [[DRY_Principle]], [[Clean Code]], [[Singleton Pattern]], [[Observer Pattern]] 등 150여 개
+- **기존 유사 문서:** [[SOLID Principles]], [[Design_Patterns]], [[DRY Principle (Don't Repeat Yourself)]], [[Clean Code]], [[Singleton Pattern]], [[Observer Pattern]] 등 150여 개
 - **처리 방식:** MERGE & ARCHIVE
 - **처리 이유:** 개별 원칙과 패턴들이 낱개 문서로 흩어져 있어 전체적인 맥락 파악이 어려움. 이를 '설계 체계'라는 하나의 마스터 문서로 통합하여 활용성을 극대화함.
 
@@ -103,7 +103,7 @@ tech_stack:
 
 ## 🔗 지식 연결 (Graph)
 - **Parent:** [[10_Wiki/Topics]]
-- **Related:** [[도메인_주도_설계(DDD)_및_소프트웨어_아키텍처]], [[테스트_전략_및_방법론]], [[프론트엔드_및_Nodejs_개발_워크플로우]]
+- **Related:** [[도메인 주도 설계(DDD) 및 소프트웨어 아키텍처]], [[테스트 전략 및 방법론]], [[프론트엔드 및 Nodejs 개발 워크플로우]]
 - **Raw Source:** Architecture 및 Programming 폴더 내 다수 파일
 
 ---
diff --git a/10_Wiki/Topics/심리학_및_행동과학_모델링.md b/10_Wiki/Topics/심리학_및_행동과학_모델링.md
index 56d96200..4206d8a4 100644
--- a/10_Wiki/Topics/심리학_및_행동과학_모델링.md
+++ b/10_Wiki/Topics/심리학_및_행동과학_모델링.md
@@ -69,7 +69,7 @@ github_commit: pending
 ---
 
 ## 🧬 중복 검사 (Duplicate Check)
-- **기존 유사 문서:** [[Cocktail-Party-Effect]], [[Cognitive-Bias]], [[Global Workspace Theory (GWT)]], [[Global-Neuronal-Workspace]] 등 60여 개
+- **기존 유사 문서:** [[Cocktail-Party-Effect]], [[Cognitive Bias]], [[Global Workspace Theory (GWT)]], [[Global-Neuronal-Workspace]] 등 60여 개
 - **처리 방식:** UPDATE
 - **처리 이유:** 기초 인지 모델링에 GWT, 칵테일 파티 효과 등 심층적인 뇌과학/심리학 이론을 결합하여 완성도 높은 권위 문서로 강화함.
 
@@ -115,7 +115,7 @@ github_commit: pending
 ---
 
 ## 🧬 중복 검사 (Duplicate Check)
-- **기존 유사 문서:** [[Cognitive-Psychology]], [[행동 경제학(Behavioral Economics)]], [[Psychology & Behavior]], [[Cognitive Psychology & Behavioral Science]] 등 40여 개
+- **기존 유사 문서:** [[Cognitive Psychology]], [[행동 경제학(Behavioral Economics)]], [[Psychology & Behavior]], [[Cognitive Psychology & Behavioral Science]] 등 40여 개
 - **처리 방식:** MERGE
 - **처리 이유:** 심리학의 이론적 기초부터 행동 경제학, 행동 분석 방법론 등 40개 이상의 파편화된 문서를 통합하여 인간 중심 시스템 설계의 인문학적/과학적 표준으로 구축함.
 
diff --git a/10_Wiki/Topics/창의성/001_창의성의_정의.md b/10_Wiki/Topics/창의성/001_창의성의_정의.md
index 2670977b..77c0fc32 100644
--- a/10_Wiki/Topics/창의성/001_창의성의_정의.md
+++ b/10_Wiki/Topics/창의성/001_창의성의_정의.md
@@ -58,8 +58,8 @@ related_notes: [확산적 사고, 문제 재정의, 아이디어 평가]
 - 실제 프로젝트 적용 사례가 생기면 `applied_in`과 `verification_status`를 갱신한다.
 
 ## 관련 문서
-- [[003_확산적_사고]]
-- [[005_문제_재정의]]
+- [[확산적 사고]]
+- [[문제 재정의]]
 - [[161_아이디어_평가_기준|아이디어 평가]]
 
 ## Raw Source
diff --git a/10_Wiki/Topics/창의성/003_확산적_사고.md b/10_Wiki/Topics/창의성/003_확산적_사고.md
index 1f136256..d145312c 100644
--- a/10_Wiki/Topics/창의성/003_확산적_사고.md
+++ b/10_Wiki/Topics/창의성/003_확산적_사고.md
@@ -58,8 +58,8 @@ related_notes: [수렴적 사고, 브레인스토밍, 관점 전환]
 - 실제 프로젝트 적용 사례가 생기면 `applied_in`과 `verification_status`를 갱신한다.
 
 ## 관련 문서
-- [[004_수렴적_사고]]
-- [[061_브레인스토밍]]
+- [[수렴적 사고]]
+- [[브레인스토밍]]
 - [[관점 전환]]
 
 ## Raw Source
diff --git a/10_Wiki/Topics/창의성/009_창의성과_전문성의_긴장.md b/10_Wiki/Topics/창의성/009_창의성과_전문성의_긴장.md
index 53c743c8..5f9115d8 100644
--- a/10_Wiki/Topics/창의성/009_창의성과_전문성의_긴장.md
+++ b/10_Wiki/Topics/창의성/009_창의성과_전문성의_긴장.md
@@ -58,7 +58,7 @@ related_notes: [초보자 마인드, 관성 깨기, 실험 설계]
 - 실제 프로젝트 적용 사례가 생기면 `applied_in`과 `verification_status`를 갱신한다.
 
 ## 관련 문서
-- [[028_초보자_마인드]]
+- [[초보자 마인드]]
 - [[관성 깨기]]
 - [[실험 설계]]
 
diff --git a/10_Wiki/Topics/창의성/012_창의성과_용기.md b/10_Wiki/Topics/창의성/012_창의성과_용기.md
index 9b9501f7..70666872 100644
--- a/10_Wiki/Topics/창의성/012_창의성과_용기.md
+++ b/10_Wiki/Topics/창의성/012_창의성과_용기.md
@@ -58,7 +58,7 @@ related_notes: [심리적 안전감, 프로토타입, 회고]
 - 실제 프로젝트 적용 사례가 생기면 `applied_in`과 `verification_status`를 갱신한다.
 
 ## 관련 문서
-- [[121_심리적_안전감]]
+- [[심리적 안전감]]
 - [[Prototyping|프로토타입]]
 - [[회고]]
 
diff --git a/10_Wiki/Topics/창의성/014_창의성과_놀이성.md b/10_Wiki/Topics/창의성/014_창의성과_놀이성.md
index 960aafa0..cc45df2a 100644
--- a/10_Wiki/Topics/창의성/014_창의성과_놀이성.md
+++ b/10_Wiki/Topics/창의성/014_창의성과_놀이성.md
@@ -59,8 +59,8 @@ related_notes: [실험 문화, 브레인스토밍, 제약 기반 창작]
 
 ## 관련 문서
 - [[실험 문화]]
-- [[061_브레인스토밍]]
-- [[081_제약_기반_창작]]
+- [[브레인스토밍]]
+- [[제약 기반 창작]]
 
 ## Raw Source
 - user_request:2026-05-14-creativity-knowledge-batch
diff --git a/10_Wiki/Topics/창의성/016_창의성과_실패_관점.md b/10_Wiki/Topics/창의성/016_창의성과_실패_관점.md
index 19fc109a..009fb4ec 100644
--- a/10_Wiki/Topics/창의성/016_창의성과_실패_관점.md
+++ b/10_Wiki/Topics/창의성/016_창의성과_실패_관점.md
@@ -60,7 +60,7 @@ related_notes: [회고, 실험 설계, 심리적 안전감]
 ## 관련 문서
 - [[회고]]
 - [[실험 설계]]
-- [[121_심리적_안전감]]
+- [[심리적 안전감]]
 
 ## Raw Source
 - user_request:2026-05-14-creativity-knowledge-batch
diff --git a/10_Wiki/Topics/창의성/021_연상_작용.md b/10_Wiki/Topics/창의성/021_연상_작용.md
index e0d55a07..3bd753c7 100644
--- a/10_Wiki/Topics/창의성/021_연상_작용.md
+++ b/10_Wiki/Topics/창의성/021_연상_작용.md
@@ -60,7 +60,7 @@ related_notes: [메타포, 비유, 원격 연상]
 ## 관련 문서
 - [[104_메타포_만들기|메타포]]
 - [[비유]]
-- [[022_원격_연상]]
+- [[원격 연상]]
 
 ## Raw Source
 - user_request:2026-05-14-creativity-knowledge-batch
diff --git a/10_Wiki/Topics/창의성/024_인지적_유연성.md b/10_Wiki/Topics/창의성/024_인지적_유연성.md
index 3e52950d..b6f4a256 100644
--- a/10_Wiki/Topics/창의성/024_인지적_유연성.md
+++ b/10_Wiki/Topics/창의성/024_인지적_유연성.md
@@ -60,7 +60,7 @@ related_notes: [관점 전환, 역할 바꾸기, 문제 재정의]
 ## 관련 문서
 - [[관점 전환]]
 - [[역할 바꾸기]]
-- [[005_문제_재정의]]
+- [[문제 재정의]]
 
 ## Raw Source
 - user_request:2026-05-14-creativity-knowledge-batch
diff --git a/10_Wiki/Topics/창의성/025_고정관념과_기능_고착.md b/10_Wiki/Topics/창의성/025_고정관념과_기능_고착.md
index d7d305d2..ca6364d6 100644
--- a/10_Wiki/Topics/창의성/025_고정관념과_기능_고착.md
+++ b/10_Wiki/Topics/창의성/025_고정관념과_기능_고착.md
@@ -59,7 +59,7 @@ related_notes: [제약 깨기, 문제 재정의, 아날로지]
 
 ## 관련 문서
 - [[제약 깨기]]
-- [[005_문제_재정의]]
+- [[문제 재정의]]
 - [[069_아날로지_매핑|아날로지]]
 
 ## Raw Source
diff --git a/10_Wiki/Topics/창의성/027_통찰의_순간.md b/10_Wiki/Topics/창의성/027_통찰의_순간.md
index 85873ad1..9fd4ae17 100644
--- a/10_Wiki/Topics/창의성/027_통찰의_순간.md
+++ b/10_Wiki/Topics/창의성/027_통찰의_순간.md
@@ -59,7 +59,7 @@ related_notes: [잠복기, 문제 재정의, 가설 검증]
 
 ## 관련 문서
 - [[026_잠복기_효과|잠복기]]
-- [[005_문제_재정의]]
+- [[문제 재정의]]
 - [[가설 검증]]
 
 ## Raw Source
diff --git a/10_Wiki/Topics/창의성/031_추상화_능력.md b/10_Wiki/Topics/창의성/031_추상화_능력.md
index f4b4f961..0e4a2246 100644
--- a/10_Wiki/Topics/창의성/031_추상화_능력.md
+++ b/10_Wiki/Topics/창의성/031_추상화_능력.md
@@ -60,7 +60,7 @@ related_notes: [구조 전이, 모델링, 문제 재정의]
 ## 관련 문서
 - [[구조 전이]]
 - [[모델링]]
-- [[005_문제_재정의]]
+- [[문제 재정의]]
 
 ## Raw Source
 - user_request:2026-05-14-creativity-knowledge-batch
diff --git a/10_Wiki/Topics/창의성/032_개념적_혼합.md b/10_Wiki/Topics/창의성/032_개념적_혼합.md
index 04f749d4..7724b3bc 100644
--- a/10_Wiki/Topics/창의성/032_개념적_혼합.md
+++ b/10_Wiki/Topics/창의성/032_개념적_혼합.md
@@ -58,7 +58,7 @@ related_notes: [원격 연상, 브랜드 콘셉트, 서사 설계]
 - 실제 프로젝트 적용 사례가 생기면 `applied_in`과 `verification_status`를 갱신한다.
 
 ## 관련 문서
-- [[022_원격_연상]]
+- [[원격 연상]]
 - [[브랜드 콘셉트]]
 - [[서사 설계]]
 
diff --git a/10_Wiki/Topics/창의성/033_기억의_재조합.md b/10_Wiki/Topics/창의성/033_기억의_재조합.md
index 9f6d2192..666c19fa 100644
--- a/10_Wiki/Topics/창의성/033_기억의_재조합.md
+++ b/10_Wiki/Topics/창의성/033_기억의_재조합.md
@@ -59,7 +59,7 @@ related_notes: [지식 관리, 연상 작용, 전이]
 
 ## 관련 문서
 - [[지식 관리]]
-- [[021_연상_작용]]
+- [[연상 작용]]
 - [[전이]]
 
 ## Raw Source
diff --git a/10_Wiki/Topics/창의성/035_주의_전환.md b/10_Wiki/Topics/창의성/035_주의_전환.md
index a80faab4..7ffa098a 100644
--- a/10_Wiki/Topics/창의성/035_주의_전환.md
+++ b/10_Wiki/Topics/창의성/035_주의_전환.md
@@ -60,7 +60,7 @@ related_notes: [관찰, 시선 설계, 문제 재정의]
 ## 관련 문서
 - [[관찰]]
 - [[시선 설계]]
-- [[005_문제_재정의]]
+- [[문제 재정의]]
 
 ## Raw Source
 - user_request:2026-05-14-creativity-knowledge-batch
diff --git a/10_Wiki/Topics/창의성/037_다중_관점_보유.md b/10_Wiki/Topics/창의성/037_다중_관점_보유.md
index 88478a5f..79650a0f 100644
--- a/10_Wiki/Topics/창의성/037_다중_관점_보유.md
+++ b/10_Wiki/Topics/창의성/037_다중_관점_보유.md
@@ -60,7 +60,7 @@ related_notes: [이해관계자 분석, 균형 설계, 수렴적 사고]
 ## 관련 문서
 - [[이해관계자 분석]]
 - [[균형 설계]]
-- [[004_수렴적_사고]]
+- [[수렴적 사고]]
 
 ## Raw Source
 - user_request:2026-05-14-creativity-knowledge-batch
diff --git a/10_Wiki/Topics/창의성/038_개방성과_창의성.md b/10_Wiki/Topics/창의성/038_개방성과_창의성.md
index 310b7bf7..4b7fcc4a 100644
--- a/10_Wiki/Topics/창의성/038_개방성과_창의성.md
+++ b/10_Wiki/Topics/창의성/038_개방성과_창의성.md
@@ -60,7 +60,7 @@ related_notes: [탐색, 자료 수집, 연상 작용]
 ## 관련 문서
 - [[탐색]]
 - [[자료 수집]]
-- [[021_연상_작용]]
+- [[연상 작용]]
 
 ## Raw Source
 - user_request:2026-05-14-creativity-knowledge-batch
diff --git a/10_Wiki/Topics/창의성/039_자기_검열.md b/10_Wiki/Topics/창의성/039_자기_검열.md
index 00104ce9..a0a716d0 100644
--- a/10_Wiki/Topics/창의성/039_자기_검열.md
+++ b/10_Wiki/Topics/창의성/039_자기_검열.md
@@ -59,7 +59,7 @@ related_notes: [완벽주의, 심리적 안전감, 발산 단계]
 
 ## 관련 문서
 - [[완벽주의]]
-- [[121_심리적_안전감]]
+- [[심리적 안전감]]
 - [[발산 단계]]
 
 ## Raw Source
diff --git a/10_Wiki/Topics/창의성/042_질문_수집.md b/10_Wiki/Topics/창의성/042_질문_수집.md
index beb33f69..7f09e390 100644
--- a/10_Wiki/Topics/창의성/042_질문_수집.md
+++ b/10_Wiki/Topics/창의성/042_질문_수집.md
@@ -59,7 +59,7 @@ related_notes: [호기심, 문제 재정의, 지식 관리]
 
 ## 관련 문서
 - [[호기심]]
-- [[005_문제_재정의]]
+- [[문제 재정의]]
 - [[지식 관리]]
 
 ## Raw Source
diff --git a/10_Wiki/Topics/창의성/043_아이디어_재료_수집.md b/10_Wiki/Topics/창의성/043_아이디어_재료_수집.md
index ce840b85..94531427 100644
--- a/10_Wiki/Topics/창의성/043_아이디어_재료_수집.md
+++ b/10_Wiki/Topics/창의성/043_아이디어_재료_수집.md
@@ -59,7 +59,7 @@ related_notes: [지식 관리, 연상 작용, 전이]
 
 ## 관련 문서
 - [[지식 관리]]
-- [[021_연상_작용]]
+- [[연상 작용]]
 - [[전이]]
 
 ## Raw Source
diff --git a/10_Wiki/Topics/창의성/044_관찰_일지.md b/10_Wiki/Topics/창의성/044_관찰_일지.md
index 5ad90ce2..283d1d7a 100644
--- a/10_Wiki/Topics/창의성/044_관찰_일지.md
+++ b/10_Wiki/Topics/창의성/044_관찰_일지.md
@@ -58,7 +58,7 @@ related_notes: [시각 노트, 현장 조사, 자료 수집]
 - 실제 프로젝트 적용 사례가 생기면 `applied_in`과 `verification_status`를 갱신한다.
 
 ## 관련 문서
-- [[046_시각_노트]]
+- [[시각 노트]]
 - [[현장 조사]]
 - [[자료 수집]]
 
diff --git a/10_Wiki/Topics/창의성/046_시각_노트.md b/10_Wiki/Topics/창의성/046_시각_노트.md
index 6965514e..89d998b5 100644
--- a/10_Wiki/Topics/창의성/046_시각_노트.md
+++ b/10_Wiki/Topics/창의성/046_시각_노트.md
@@ -58,8 +58,8 @@ related_notes: [스케치 사고, 마인드맵, 정보 구조]
 - 실제 프로젝트 적용 사례가 생기면 `applied_in`과 `verification_status`를 갱신한다.
 
 ## 관련 문서
-- [[045_스케치_사고]]
-- [[064_마인드맵]]
+- [[스케치 사고]]
+- [[마인드맵]]
 - [[정보 구조]]
 
 ## Raw Source
diff --git a/10_Wiki/Topics/창의성/047_자료_클리핑의_기술.md b/10_Wiki/Topics/창의성/047_자료_클리핑의_기술.md
index 1bb380ff..14ee40f4 100644
--- a/10_Wiki/Topics/창의성/047_자료_클리핑의_기술.md
+++ b/10_Wiki/Topics/창의성/047_자료_클리핑의_기술.md
@@ -59,8 +59,8 @@ related_notes: [지식 관리, 관찰 일지, 연상 작용]
 
 ## 관련 문서
 - [[지식 관리]]
-- [[044_관찰_일지]]
-- [[021_연상_작용]]
+- [[관찰 일지]]
+- [[연상 작용]]
 
 ## Raw Source
 - user_request:2026-05-14-creativity-knowledge-batch
diff --git a/10_Wiki/Topics/창의성/048_비교_관찰.md b/10_Wiki/Topics/창의성/048_비교_관찰.md
index 66032df6..2606676e 100644
--- a/10_Wiki/Topics/창의성/048_비교_관찰.md
+++ b/10_Wiki/Topics/창의성/048_비교_관찰.md
@@ -59,7 +59,7 @@ related_notes: [벤치마킹, 패턴 인식, 차별화]
 
 ## 관련 문서
 - [[벤치마킹]]
-- [[029_패턴_인식]]
+- [[패턴 인식]]
 - [[차별화]]
 
 ## Raw Source
diff --git a/10_Wiki/Topics/창의성/049_경계_넘기_입력.md b/10_Wiki/Topics/창의성/049_경계_넘기_입력.md
index 87b04e2d..ee1751fd 100644
--- a/10_Wiki/Topics/창의성/049_경계_넘기_입력.md
+++ b/10_Wiki/Topics/창의성/049_경계_넘기_입력.md
@@ -59,7 +59,7 @@ related_notes: [구조 전이, 원격 연상, 자료 수집]
 
 ## 관련 문서
 - [[구조 전이]]
-- [[022_원격_연상]]
+- [[원격 연상]]
 - [[자료 수집]]
 
 ## Raw Source
diff --git a/10_Wiki/Topics/창의성/052_사용자_그림자_관찰.md b/10_Wiki/Topics/창의성/052_사용자_그림자_관찰.md
index 269918e1..60c50667 100644
--- a/10_Wiki/Topics/창의성/052_사용자_그림자_관찰.md
+++ b/10_Wiki/Topics/창의성/052_사용자_그림자_관찰.md
@@ -59,7 +59,7 @@ related_notes: [사용자 조사, 관찰의 해상도, 문제 발견]
 
 ## 관련 문서
 - [[사용자 조사]]
-- [[041_관찰의_해상도]]
+- [[관찰의 해상도]]
 - [[문제 발견]]
 
 ## Raw Source
diff --git a/10_Wiki/Topics/창의성/054_현장_메모의_속도.md b/10_Wiki/Topics/창의성/054_현장_메모의_속도.md
index 1935626f..393bbe7d 100644
--- a/10_Wiki/Topics/창의성/054_현장_메모의_속도.md
+++ b/10_Wiki/Topics/창의성/054_현장_메모의_속도.md
@@ -58,7 +58,7 @@ related_notes: [관찰 일지, 리서치, 외부화]
 - 실제 프로젝트 적용 사례가 생기면 `applied_in`과 `verification_status`를 갱신한다.
 
 ## 관련 문서
-- [[044_관찰_일지]]
+- [[관찰 일지]]
 - [[리서치]]
 - [[외부화]]
 
diff --git a/10_Wiki/Topics/창의성/055_좋은_사례_해부.md b/10_Wiki/Topics/창의성/055_좋은_사례_해부.md
index 13ede673..586f1811 100644
--- a/10_Wiki/Topics/창의성/055_좋은_사례_해부.md
+++ b/10_Wiki/Topics/창의성/055_좋은_사례_해부.md
@@ -60,7 +60,7 @@ related_notes: [벤치마킹, 구조 전이, 패턴 인식]
 ## 관련 문서
 - [[벤치마킹]]
 - [[구조 전이]]
-- [[029_패턴_인식]]
+- [[패턴 인식]]
 
 ## Raw Source
 - user_request:2026-05-14-creativity-knowledge-batch
diff --git a/10_Wiki/Topics/창의성/061_브레인스토밍.md b/10_Wiki/Topics/창의성/061_브레인스토밍.md
index ea178c07..8ef7204d 100644
--- a/10_Wiki/Topics/창의성/061_브레인스토밍.md
+++ b/10_Wiki/Topics/창의성/061_브레인스토밍.md
@@ -58,7 +58,7 @@ related_notes: [브레인라이팅, 질문 설계, 클러스터링]
 - 실제 프로젝트 적용 사례가 생기면 `applied_in`과 `verification_status`를 갱신한다.
 
 ## 관련 문서
-- [[062_브레인라이팅]]
+- [[브레인라이팅]]
 - [[질문 설계]]
 - [[클러스터링]]
 
diff --git a/10_Wiki/Topics/창의성/062_브레인라이팅.md b/10_Wiki/Topics/창의성/062_브레인라이팅.md
index dec7febd..b3f54fff 100644
--- a/10_Wiki/Topics/창의성/062_브레인라이팅.md
+++ b/10_Wiki/Topics/창의성/062_브레인라이팅.md
@@ -58,9 +58,9 @@ related_notes: [브레인스토밍, 비동기 협업, 심리적 안전감]
 - 실제 프로젝트 적용 사례가 생기면 `applied_in`과 `verification_status`를 갱신한다.
 
 ## 관련 문서
-- [[061_브레인스토밍]]
+- [[브레인스토밍]]
 - [[비동기 협업]]
-- [[121_심리적_안전감]]
+- [[심리적 안전감]]
 
 ## Raw Source
 - user_request:2026-05-14-creativity-knowledge-batch
diff --git a/10_Wiki/Topics/창의성/063_SCAMPER.md b/10_Wiki/Topics/창의성/063_SCAMPER.md
index fa3af5f6..d594f969 100644
--- a/10_Wiki/Topics/창의성/063_SCAMPER.md
+++ b/10_Wiki/Topics/창의성/063_SCAMPER.md
@@ -60,7 +60,7 @@ related_notes: [변형, 개선, 확산적 사고]
 ## 관련 문서
 - [[변형]]
 - [[개선]]
-- [[003_확산적_사고]]
+- [[확산적 사고]]
 
 ## Raw Source
 - user_request:2026-05-14-creativity-knowledge-batch
diff --git a/10_Wiki/Topics/창의성/064_마인드맵.md b/10_Wiki/Topics/창의성/064_마인드맵.md
index 1892e384..05dae7fa 100644
--- a/10_Wiki/Topics/창의성/064_마인드맵.md
+++ b/10_Wiki/Topics/창의성/064_마인드맵.md
@@ -58,8 +58,8 @@ related_notes: [시각 노트, 연상 작용, 클러스터링]
 - 실제 프로젝트 적용 사례가 생기면 `applied_in`과 `verification_status`를 갱신한다.
 
 ## 관련 문서
-- [[046_시각_노트]]
-- [[021_연상_작용]]
+- [[시각 노트]]
+- [[연상 작용]]
 - [[클러스터링]]
 
 ## Raw Source
diff --git a/10_Wiki/Topics/창의성/065_랜덤_자극_기법.md b/10_Wiki/Topics/창의성/065_랜덤_자극_기법.md
index d78dd51b..fc8ce0cd 100644
--- a/10_Wiki/Topics/창의성/065_랜덤_자극_기법.md
+++ b/10_Wiki/Topics/창의성/065_랜덤_자극_기법.md
@@ -58,8 +58,8 @@ related_notes: [원격 연상, 브레인스토밍, 제약 깨기]
 - 실제 프로젝트 적용 사례가 생기면 `applied_in`과 `verification_status`를 갱신한다.
 
 ## 관련 문서
-- [[022_원격_연상]]
-- [[061_브레인스토밍]]
+- [[원격 연상]]
+- [[브레인스토밍]]
 - [[제약 깨기]]
 
 ## Raw Source
diff --git a/10_Wiki/Topics/창의성/067_역브레인스토밍.md b/10_Wiki/Topics/창의성/067_역브레인스토밍.md
index f95f1ea1..a6981bb9 100644
--- a/10_Wiki/Topics/창의성/067_역브레인스토밍.md
+++ b/10_Wiki/Topics/창의성/067_역브레인스토밍.md
@@ -60,7 +60,7 @@ related_notes: [안티패턴, 리스크 관리, 문제 재정의]
 ## 관련 문서
 - [[안티패턴]]
 - [[Risk_Management|리스크 관리]]
-- [[005_문제_재정의]]
+- [[문제 재정의]]
 
 ## Raw Source
 - user_request:2026-05-14-creativity-knowledge-batch
diff --git a/10_Wiki/Topics/창의성/069_아날로지_매핑.md b/10_Wiki/Topics/창의성/069_아날로지_매핑.md
index e8de8dc4..c850d657 100644
--- a/10_Wiki/Topics/창의성/069_아날로지_매핑.md
+++ b/10_Wiki/Topics/창의성/069_아날로지_매핑.md
@@ -60,7 +60,7 @@ related_notes: [비유, 구조 전이, 원격 연상]
 ## 관련 문서
 - [[비유]]
 - [[구조 전이]]
-- [[022_원격_연상]]
+- [[원격 연상]]
 
 ## Raw Source
 - user_request:2026-05-14-creativity-knowledge-batch
diff --git a/10_Wiki/Topics/창의성/072_카드_분류_발상.md b/10_Wiki/Topics/창의성/072_카드_분류_발상.md
index ca0262b9..bd00cc8c 100644
--- a/10_Wiki/Topics/창의성/072_카드_분류_발상.md
+++ b/10_Wiki/Topics/창의성/072_카드_분류_발상.md
@@ -60,7 +60,7 @@ related_notes: [클러스터링, 정보 구조, 수렴적 사고]
 ## 관련 문서
 - [[클러스터링]]
 - [[정보 구조]]
-- [[004_수렴적_사고]]
+- [[수렴적 사고]]
 
 ## Raw Source
 - user_request:2026-05-14-creativity-knowledge-batch
diff --git a/10_Wiki/Topics/창의성/073_질문_사다리.md b/10_Wiki/Topics/창의성/073_질문_사다리.md
index 1e083bde..15bef652 100644
--- a/10_Wiki/Topics/창의성/073_질문_사다리.md
+++ b/10_Wiki/Topics/창의성/073_질문_사다리.md
@@ -58,7 +58,7 @@ related_notes: [문제 재정의, 추상화, 실행 설계]
 - 실제 프로젝트 적용 사례가 생기면 `applied_in`과 `verification_status`를 갱신한다.
 
 ## 관련 문서
-- [[005_문제_재정의]]
+- [[문제 재정의]]
 - [[추상화]]
 - [[실행 설계]]
 
diff --git a/10_Wiki/Topics/창의성/075_제약_역이용_발상.md b/10_Wiki/Topics/창의성/075_제약_역이용_발상.md
index 5b6c7a09..6a1fcbf1 100644
--- a/10_Wiki/Topics/창의성/075_제약_역이용_발상.md
+++ b/10_Wiki/Topics/창의성/075_제약_역이용_발상.md
@@ -58,9 +58,9 @@ related_notes: [제약 기반 창작, 브랜드 정체성, 문제 재정의]
 - 실제 프로젝트 적용 사례가 생기면 `applied_in`과 `verification_status`를 갱신한다.
 
 ## 관련 문서
-- [[081_제약_기반_창작]]
+- [[제약 기반 창작]]
 - [[브랜드 정체성]]
-- [[005_문제_재정의]]
+- [[문제 재정의]]
 
 ## Raw Source
 - user_request:2026-05-14-creativity-knowledge-batch
diff --git a/10_Wiki/Topics/창의성/076_반대_방향_설계.md b/10_Wiki/Topics/창의성/076_반대_방향_설계.md
index eeb6619a..24cdc575 100644
--- a/10_Wiki/Topics/창의성/076_반대_방향_설계.md
+++ b/10_Wiki/Topics/창의성/076_반대_방향_설계.md
@@ -58,7 +58,7 @@ related_notes: [역브레인스토밍, 가정 점검, 실험 설계]
 - 실제 프로젝트 적용 사례가 생기면 `applied_in`과 `verification_status`를 갱신한다.
 
 ## 관련 문서
-- [[067_역브레인스토밍]]
+- [[역브레인스토밍]]
 - [[가정 점검]]
 - [[실험 설계]]
 
diff --git a/10_Wiki/Topics/창의성/077_What_if_질문법.md b/10_Wiki/Topics/창의성/077_What_if_질문법.md
index be6229ec..1ddf4451 100644
--- a/10_Wiki/Topics/창의성/077_What_if_질문법.md
+++ b/10_Wiki/Topics/창의성/077_What_if_질문법.md
@@ -59,7 +59,7 @@ related_notes: [가설 실험, 문제 재정의, 미래 시나리오]
 
 ## 관련 문서
 - [[가설 실험]]
-- [[005_문제_재정의]]
+- [[문제 재정의]]
 - [[미래 시나리오]]
 
 ## Raw Source
diff --git a/10_Wiki/Topics/창의성/078_최악의_아이디어_먼저.md b/10_Wiki/Topics/창의성/078_최악의_아이디어_먼저.md
index 8fd49a1b..401c5a06 100644
--- a/10_Wiki/Topics/창의성/078_최악의_아이디어_먼저.md
+++ b/10_Wiki/Topics/창의성/078_최악의_아이디어_먼저.md
@@ -59,8 +59,8 @@ related_notes: [놀이성, 브레인스토밍, 심리적 안전감]
 
 ## 관련 문서
 - [[놀이성]]
-- [[061_브레인스토밍]]
-- [[121_심리적_안전감]]
+- [[브레인스토밍]]
+- [[심리적 안전감]]
 
 ## Raw Source
 - user_request:2026-05-14-creativity-knowledge-batch
diff --git a/10_Wiki/Topics/창의성/079_조합_매트릭스.md b/10_Wiki/Topics/창의성/079_조합_매트릭스.md
index df95f74e..be5034b1 100644
--- a/10_Wiki/Topics/창의성/079_조합_매트릭스.md
+++ b/10_Wiki/Topics/창의성/079_조합_매트릭스.md
@@ -58,9 +58,9 @@ related_notes: [형태학적 분석, 시스템 설계, 확산적 사고]
 - 실제 프로젝트 적용 사례가 생기면 `applied_in`과 `verification_status`를 갱신한다.
 
 ## 관련 문서
-- [[068_형태학적_분석]]
+- [[형태학적 분석]]
 - [[시스템 설계]]
-- [[003_확산적_사고]]
+- [[확산적 사고]]
 
 ## Raw Source
 - user_request:2026-05-14-creativity-knowledge-batch
diff --git a/10_Wiki/Topics/창의성/080_아이디어_클러스터링.md b/10_Wiki/Topics/창의성/080_아이디어_클러스터링.md
index eaf738c4..9a40a8d7 100644
--- a/10_Wiki/Topics/창의성/080_아이디어_클러스터링.md
+++ b/10_Wiki/Topics/창의성/080_아이디어_클러스터링.md
@@ -58,7 +58,7 @@ related_notes: [수렴적 사고, 카드 분류, 우선순위화]
 - 실제 프로젝트 적용 사례가 생기면 `applied_in`과 `verification_status`를 갱신한다.
 
 ## 관련 문서
-- [[004_수렴적_사고]]
+- [[수렴적 사고]]
 - [[카드 분류]]
 - [[우선순위화]]
 
diff --git a/10_Wiki/Topics/창의성/081_제약_기반_창작.md b/10_Wiki/Topics/창의성/081_제약_기반_창작.md
index a123f73f..6185df6f 100644
--- a/10_Wiki/Topics/창의성/081_제약_기반_창작.md
+++ b/10_Wiki/Topics/창의성/081_제약_기반_창작.md
@@ -58,7 +58,7 @@ related_notes: [제거 중심 발상, 형식 실험, 프로토타입]
 - 실제 프로젝트 적용 사례가 생기면 `applied_in`과 `verification_status`를 갱신한다.
 
 ## 관련 문서
-- [[074_제거_중심_발상]]
+- [[제거 중심 발상]]
 - [[형식 실험]]
 - [[Prototyping|프로토타입]]
 
diff --git a/10_Wiki/Topics/창의성/085_도구_제한_실험.md b/10_Wiki/Topics/창의성/085_도구_제한_실험.md
index f1fa3979..f5dc09d5 100644
--- a/10_Wiki/Topics/창의성/085_도구_제한_실험.md
+++ b/10_Wiki/Topics/창의성/085_도구_제한_실험.md
@@ -58,7 +58,7 @@ related_notes: [형식 제약, 루틴 깨기, 표현 실험]
 - 실제 프로젝트 적용 사례가 생기면 `applied_in`과 `verification_status`를 갱신한다.
 
 ## 관련 문서
-- [[083_형식_제약]]
+- [[형식 제약]]
 - [[루틴 깨기]]
 - [[표현 실험]]
 
diff --git a/10_Wiki/Topics/창의성/087_반복_규칙의_힘.md b/10_Wiki/Topics/창의성/087_반복_규칙의_힘.md
index 76462624..160f4a16 100644
--- a/10_Wiki/Topics/창의성/087_반복_규칙의_힘.md
+++ b/10_Wiki/Topics/창의성/087_반복_규칙의_힘.md
@@ -60,7 +60,7 @@ related_notes: [시리즈 작업, 변형, 비교 관찰]
 ## 관련 문서
 - [[시리즈 작업]]
 - [[변형]]
-- [[048_비교_관찰]]
+- [[비교 관찰]]
 
 ## Raw Source
 - user_request:2026-05-14-creativity-knowledge-batch
diff --git a/10_Wiki/Topics/창의성/088_불편함의_생산성.md b/10_Wiki/Topics/창의성/088_불편함의_생산성.md
index 5bb98a85..91cb78cc 100644
--- a/10_Wiki/Topics/창의성/088_불편함의_생산성.md
+++ b/10_Wiki/Topics/창의성/088_불편함의_생산성.md
@@ -59,7 +59,7 @@ related_notes: [루틴 깨기, 주의 전환, 실험]
 
 ## 관련 문서
 - [[루틴 깨기]]
-- [[035_주의_전환]]
+- [[주의 전환]]
 - [[실험]]
 
 ## Raw Source
diff --git a/10_Wiki/Topics/창의성/089_가이드라인_안의_자유.md b/10_Wiki/Topics/창의성/089_가이드라인_안의_자유.md
index d77b0b17..59107ab5 100644
--- a/10_Wiki/Topics/창의성/089_가이드라인_안의_자유.md
+++ b/10_Wiki/Topics/창의성/089_가이드라인_안의_자유.md
@@ -60,7 +60,7 @@ related_notes: [디자인 시스템, 협업, 제약 기반 창작]
 ## 관련 문서
 - [[디자인 시스템]]
 - [[협업]]
-- [[081_제약_기반_창작]]
+- [[제약 기반 창작]]
 
 ## Raw Source
 - user_request:2026-05-14-creativity-knowledge-batch
diff --git a/10_Wiki/Topics/창의성/092_재료_재사용.md b/10_Wiki/Topics/창의성/092_재료_재사용.md
index 87278f7b..70943cc5 100644
--- a/10_Wiki/Topics/창의성/092_재료_재사용.md
+++ b/10_Wiki/Topics/창의성/092_재료_재사용.md
@@ -58,7 +58,7 @@ related_notes: [사물 재해석, 자산 활용, 제약 역이용]
 - 실제 프로젝트 적용 사례가 생기면 `applied_in`과 `verification_status`를 갱신한다.
 
 ## 관련 문서
-- [[057_사물_재해석]]
+- [[사물 재해석]]
 - [[자산 활용]]
 - [[제약 역이용]]
 
diff --git a/10_Wiki/Topics/창의성/095_선택지_제한.md b/10_Wiki/Topics/창의성/095_선택지_제한.md
index 769feb06..de880482 100644
--- a/10_Wiki/Topics/창의성/095_선택지_제한.md
+++ b/10_Wiki/Topics/창의성/095_선택지_제한.md
@@ -58,7 +58,7 @@ related_notes: [수렴적 사고, 결정 피로, 우선순위화]
 - 실제 프로젝트 적용 사례가 생기면 `applied_in`과 `verification_status`를 갱신한다.
 
 ## 관련 문서
-- [[004_수렴적_사고]]
+- [[수렴적 사고]]
 - [[결정 피로]]
 - [[우선순위화]]
 
diff --git a/10_Wiki/Topics/창의성/097_규칙_깨기보다_규칙_발견.md b/10_Wiki/Topics/창의성/097_규칙_깨기보다_규칙_발견.md
index b8bb9c74..b14b0bc4 100644
--- a/10_Wiki/Topics/창의성/097_규칙_깨기보다_규칙_발견.md
+++ b/10_Wiki/Topics/창의성/097_규칙_깨기보다_규칙_발견.md
@@ -59,7 +59,7 @@ related_notes: [도메인 지식, 문제 재정의, 전략적 위반]
 
 ## 관련 문서
 - [[도메인 지식]]
-- [[005_문제_재정의]]
+- [[문제 재정의]]
 - [[전략적 위반]]
 
 ## Raw Source
diff --git a/10_Wiki/Topics/창의성/108_리듬과_반복의_미학.md b/10_Wiki/Topics/창의성/108_리듬과_반복의_미학.md
index 526ca7fa..1a91a96f 100644
--- a/10_Wiki/Topics/창의성/108_리듬과_반복의_미학.md
+++ b/10_Wiki/Topics/창의성/108_리듬과_반복의_미학.md
@@ -58,7 +58,7 @@ related_notes: [시각적 변주, 음악성, 스토리텔링]
 - 실제 프로젝트 적용 사례가 생기면 `applied_in`과 `verification_status`를 갱신한다.
 
 ## 관련 문서
-- [[107_시각적_변주]]
+- [[시각적 변주]]
 - [[음악성]]
 - [[스토리텔링]]
 
diff --git a/10_Wiki/Topics/창의성/110_서사적_긴장.md b/10_Wiki/Topics/창의성/110_서사적_긴장.md
index fe9e37c2..b75fac7c 100644
--- a/10_Wiki/Topics/창의성/110_서사적_긴장.md
+++ b/10_Wiki/Topics/창의성/110_서사적_긴장.md
@@ -58,7 +58,7 @@ related_notes: [스토리 씨앗, 캐릭터, 감정 곡선]
 - 실제 프로젝트 적용 사례가 생기면 `applied_in`과 `verification_status`를 갱신한다.
 
 ## 관련 문서
-- [[101_스토리_씨앗]]
+- [[스토리 씨앗]]
 - [[캐릭터]]
 - [[감정 곡선]]
 
diff --git a/10_Wiki/Topics/창의성/115_콘셉트_문장_만들기.md b/10_Wiki/Topics/창의성/115_콘셉트_문장_만들기.md
index 3ef8360a..c23ea5dd 100644
--- a/10_Wiki/Topics/창의성/115_콘셉트_문장_만들기.md
+++ b/10_Wiki/Topics/창의성/115_콘셉트_문장_만들기.md
@@ -58,7 +58,7 @@ related_notes: [한 문장 제약, 브랜드, 우선순위화]
 - 실제 프로젝트 적용 사례가 생기면 `applied_in`과 `verification_status`를 갱신한다.
 
 ## 관련 문서
-- [[091_한_문장_제약]]
+- [[한 문장 제약]]
 - [[브랜드]]
 - [[우선순위화]]
 
diff --git a/10_Wiki/Topics/창의성/117_장면_중심_발상.md b/10_Wiki/Topics/창의성/117_장면_중심_발상.md
index a2bc8e3b..7ad892b9 100644
--- a/10_Wiki/Topics/창의성/117_장면_중심_발상.md
+++ b/10_Wiki/Topics/창의성/117_장면_중심_발상.md
@@ -58,7 +58,7 @@ related_notes: [시나리오 쓰기, 스토리보드, 감정 곡선]
 - 실제 프로젝트 적용 사례가 생기면 `applied_in`과 `verification_status`를 갱신한다.
 
 ## 관련 문서
-- [[112_시나리오_쓰기]]
+- [[시나리오 쓰기]]
 - [[스토리보드]]
 - [[감정 곡선]]
 
diff --git a/10_Wiki/Topics/창의성/118_유머의_창의성.md b/10_Wiki/Topics/창의성/118_유머의_창의성.md
index 497c406e..1bb638de 100644
--- a/10_Wiki/Topics/창의성/118_유머의_창의성.md
+++ b/10_Wiki/Topics/창의성/118_유머의_창의성.md
@@ -60,7 +60,7 @@ related_notes: [놀이성, 의외성, 심리적 안전감]
 ## 관련 문서
 - [[놀이성]]
 - [[의외성]]
-- [[121_심리적_안전감]]
+- [[심리적 안전감]]
 
 ## Raw Source
 - user_request:2026-05-14-creativity-knowledge-batch
diff --git a/10_Wiki/Topics/창의성/121_심리적_안전감.md b/10_Wiki/Topics/창의성/121_심리적_안전감.md
index bd967f66..35ab040e 100644
--- a/10_Wiki/Topics/창의성/121_심리적_안전감.md
+++ b/10_Wiki/Topics/창의성/121_심리적_안전감.md
@@ -58,7 +58,7 @@ related_notes: [브레인스토밍, 회고, 피드백]
 - 실제 프로젝트 적용 사례가 생기면 `applied_in`과 `verification_status`를 갱신한다.
 
 ## 관련 문서
-- [[061_브레인스토밍]]
+- [[브레인스토밍]]
 - [[회고]]
 - [[피드백]]
 
diff --git a/10_Wiki/Topics/창의성/123_협업_발산과_협업_수렴.md b/10_Wiki/Topics/창의성/123_협업_발산과_협업_수렴.md
index 5b5b7c1b..abc3bd34 100644
--- a/10_Wiki/Topics/창의성/123_협업_발산과_협업_수렴.md
+++ b/10_Wiki/Topics/창의성/123_협업_발산과_협업_수렴.md
@@ -59,7 +59,7 @@ related_notes: [회의 설계, 브레인스토밍, 우선순위화]
 
 ## 관련 문서
 - [[회의 설계]]
-- [[061_브레인스토밍]]
+- [[브레인스토밍]]
 - [[우선순위화]]
 
 ## Raw Source
diff --git a/10_Wiki/Topics/창의성/126_리더의_창의성_촉진.md b/10_Wiki/Topics/창의성/126_리더의_창의성_촉진.md
index ce1e0489..b5c22cc3 100644
--- a/10_Wiki/Topics/창의성/126_리더의_창의성_촉진.md
+++ b/10_Wiki/Topics/창의성/126_리더의_창의성_촉진.md
@@ -58,7 +58,7 @@ related_notes: [심리적 안전감, 회의 설계, 우선순위]
 - 실제 프로젝트 적용 사례가 생기면 `applied_in`과 `verification_status`를 갱신한다.
 
 ## 관련 문서
-- [[121_심리적_안전감]]
+- [[심리적 안전감]]
 - [[회의 설계]]
 - [[우선순위]]
 
diff --git a/10_Wiki/Topics/창의성/127_비판의_기술.md b/10_Wiki/Topics/창의성/127_비판의_기술.md
index 27233d8e..9ebd9cb6 100644
--- a/10_Wiki/Topics/창의성/127_비판의_기술.md
+++ b/10_Wiki/Topics/창의성/127_비판의_기술.md
@@ -59,7 +59,7 @@ related_notes: [피드백, 심리적 안전감, 품질 게이트]
 
 ## 관련 문서
 - [[피드백]]
-- [[121_심리적_안전감]]
+- [[심리적 안전감]]
 - [[품질 게이트]]
 
 ## Raw Source
diff --git a/10_Wiki/Topics/창의성/134_창의적_갈등과_인간관계_갈등.md b/10_Wiki/Topics/창의성/134_창의적_갈등과_인간관계_갈등.md
index d88f391e..e8be3043 100644
--- a/10_Wiki/Topics/창의성/134_창의적_갈등과_인간관계_갈등.md
+++ b/10_Wiki/Topics/창의성/134_창의적_갈등과_인간관계_갈등.md
@@ -58,8 +58,8 @@ related_notes: [비판의 기술, 심리적 안전감, 중재]
 - 실제 프로젝트 적용 사례가 생기면 `applied_in`과 `verification_status`를 갱신한다.
 
 ## 관련 문서
-- [[127_비판의_기술]]
-- [[121_심리적_안전감]]
+- [[비판의 기술]]
+- [[심리적 안전감]]
 - [[중재]]
 
 ## Raw Source
diff --git a/10_Wiki/Topics/창의성/138_비동기_창의_협업.md b/10_Wiki/Topics/창의성/138_비동기_창의_협업.md
index 72ba848d..93aab7e1 100644
--- a/10_Wiki/Topics/창의성/138_비동기_창의_협업.md
+++ b/10_Wiki/Topics/창의성/138_비동기_창의_협업.md
@@ -58,7 +58,7 @@ related_notes: [브레인라이팅, 지식 관리, 협업]
 - 실제 프로젝트 적용 사례가 생기면 `applied_in`과 `verification_status`를 갱신한다.
 
 ## 관련 문서
-- [[062_브레인라이팅]]
+- [[브레인라이팅]]
 - [[지식 관리]]
 - [[협업]]
 
diff --git a/10_Wiki/Topics/창의성/139_집단사고_방지.md b/10_Wiki/Topics/창의성/139_집단사고_방지.md
index e7bfe919..96ed1688 100644
--- a/10_Wiki/Topics/창의성/139_집단사고_방지.md
+++ b/10_Wiki/Topics/창의성/139_집단사고_방지.md
@@ -58,7 +58,7 @@ related_notes: [비판의 기술, 회의 설계, 중재]
 - 실제 프로젝트 적용 사례가 생기면 `applied_in`과 `verification_status`를 갱신한다.
 
 ## 관련 문서
-- [[127_비판의_기술]]
+- [[비판의 기술]]
 - [[회의 설계]]
 - [[중재]]
 
diff --git a/10_Wiki/Topics/창의성/141_아침_페이지.md b/10_Wiki/Topics/창의성/141_아침_페이지.md
index 2414acb7..5f57f1ee 100644
--- a/10_Wiki/Topics/창의성/141_아침_페이지.md
+++ b/10_Wiki/Topics/창의성/141_아침_페이지.md
@@ -58,7 +58,7 @@ related_notes: [자기 검열, 루틴, 외부화]
 - 실제 프로젝트 적용 사례가 생기면 `applied_in`과 `verification_status`를 갱신한다.
 
 ## 관련 문서
-- [[039_자기_검열]]
+- [[자기 검열]]
 - [[루틴]]
 - [[외부화]]
 
diff --git a/10_Wiki/Topics/창의성/142_아이디어_산책.md b/10_Wiki/Topics/창의성/142_아이디어_산책.md
index 45eb2552..0a781899 100644
--- a/10_Wiki/Topics/창의성/142_아이디어_산책.md
+++ b/10_Wiki/Topics/창의성/142_아이디어_산책.md
@@ -60,7 +60,7 @@ related_notes: [잠복기, 에너지 관리, 주의 전환]
 ## 관련 문서
 - [[026_잠복기_효과|잠복기]]
 - [[에너지 관리]]
-- [[035_주의_전환]]
+- [[주의 전환]]
 
 ## Raw Source
 - user_request:2026-05-14-creativity-knowledge-batch
diff --git a/10_Wiki/Topics/창의성/145_아이디어_리듬_캘린더.md b/10_Wiki/Topics/창의성/145_아이디어_리듬_캘린더.md
index 469ea320..4a5b868f 100644
--- a/10_Wiki/Topics/창의성/145_아이디어_리듬_캘린더.md
+++ b/10_Wiki/Topics/창의성/145_아이디어_리듬_캘린더.md
@@ -58,7 +58,7 @@ related_notes: [리듬 제약, 에너지 관리, 지속성]
 - 실제 프로젝트 적용 사례가 생기면 `applied_in`과 `verification_status`를 갱신한다.
 
 ## 관련 문서
-- [[094_리듬_제약]]
+- [[리듬 제약]]
 - [[에너지 관리]]
 - [[지속성]]
 
diff --git a/10_Wiki/Topics/창의성/148_창의적_워밍업.md b/10_Wiki/Topics/창의성/148_창의적_워밍업.md
index 4dd30d3e..e40a759b 100644
--- a/10_Wiki/Topics/창의성/148_창의적_워밍업.md
+++ b/10_Wiki/Topics/창의성/148_창의적_워밍업.md
@@ -59,7 +59,7 @@ related_notes: [놀이성, 자기 검열, 시작 장벽]
 
 ## 관련 문서
 - [[놀이성]]
-- [[039_자기_검열]]
+- [[자기 검열]]
 - [[시작 장벽]]
 
 ## Raw Source
diff --git a/10_Wiki/Topics/창의성/152_창의성의_수면_관리.md b/10_Wiki/Topics/창의성/152_창의성의_수면_관리.md
index 009bdc3f..6e634463 100644
--- a/10_Wiki/Topics/창의성/152_창의성의_수면_관리.md
+++ b/10_Wiki/Topics/창의성/152_창의성의_수면_관리.md
@@ -59,7 +59,7 @@ related_notes: [잠복기, 무의식적 처리, 체력]
 
 ## 관련 문서
 - [[026_잠복기_효과|잠복기]]
-- [[036_무의식적_처리]]
+- [[무의식적 처리]]
 - [[체력]]
 
 ## Raw Source
diff --git a/10_Wiki/Topics/창의성/158_관성_깨기_루틴.md b/10_Wiki/Topics/창의성/158_관성_깨기_루틴.md
index 7199984e..b46f1556 100644
--- a/10_Wiki/Topics/창의성/158_관성_깨기_루틴.md
+++ b/10_Wiki/Topics/창의성/158_관성_깨기_루틴.md
@@ -59,7 +59,7 @@ related_notes: [도구 제한, 불편함의 생산성, 개방성]
 
 ## 관련 문서
 - [[도구 제한]]
-- [[088_불편함의_생산성]]
+- [[불편함의 생산성]]
 - [[개방성]]
 
 ## Raw Source
diff --git a/10_Wiki/Topics/창의성/161_아이디어_평가_기준.md b/10_Wiki/Topics/창의성/161_아이디어_평가_기준.md
index 9de9e606..a0636da9 100644
--- a/10_Wiki/Topics/창의성/161_아이디어_평가_기준.md
+++ b/10_Wiki/Topics/창의성/161_아이디어_평가_기준.md
@@ -58,7 +58,7 @@ related_notes: [수렴적 사고, 우선순위화, 의사결정]
 - 실제 프로젝트 적용 사례가 생기면 `applied_in`과 `verification_status`를 갱신한다.
 
 ## 관련 문서
-- [[004_수렴적_사고]]
+- [[수렴적 사고]]
 - [[우선순위화]]
 - [[의사결정]]
 
diff --git a/10_Wiki/Topics/창의성/165_반례_찾기.md b/10_Wiki/Topics/창의성/165_반례_찾기.md
index 90d3cace..371999bd 100644
--- a/10_Wiki/Topics/창의성/165_반례_찾기.md
+++ b/10_Wiki/Topics/창의성/165_반례_찾기.md
@@ -58,7 +58,7 @@ related_notes: [비판의 기술, 예외 처리, 리스크 관리]
 - 실제 프로젝트 적용 사례가 생기면 `applied_in`과 `verification_status`를 갱신한다.
 
 ## 관련 문서
-- [[127_비판의_기술]]
+- [[비판의 기술]]
 - [[예외 처리]]
 - [[Risk_Management|리스크 관리]]
 
diff --git a/10_Wiki/Topics/창의성/169_창의성의_종료_조건.md b/10_Wiki/Topics/창의성/169_창의성의_종료_조건.md
index 7e2446fc..b2c7513b 100644
--- a/10_Wiki/Topics/창의성/169_창의성의_종료_조건.md
+++ b/10_Wiki/Topics/창의성/169_창의성의_종료_조건.md
@@ -58,7 +58,7 @@ related_notes: [수렴적 사고, 완벽주의, 의사결정]
 - 실제 프로젝트 적용 사례가 생기면 `applied_in`과 `verification_status`를 갱신한다.
 
 ## 관련 문서
-- [[004_수렴적_사고]]
+- [[수렴적 사고]]
 - [[완벽주의]]
 - [[의사결정]]
 
diff --git a/10_Wiki/Topics/창의성/176_창의성과_품질_게이트.md b/10_Wiki/Topics/창의성/176_창의성과_품질_게이트.md
index a4b82f7e..29ec4fe0 100644
--- a/10_Wiki/Topics/창의성/176_창의성과_품질_게이트.md
+++ b/10_Wiki/Topics/창의성/176_창의성과_품질_게이트.md
@@ -58,7 +58,7 @@ related_notes: [비판의 기술, 검증, 협업]
 - 실제 프로젝트 적용 사례가 생기면 `applied_in`과 `verification_status`를 갱신한다.
 
 ## 관련 문서
-- [[127_비판의_기술]]
+- [[비판의 기술]]
 - [[검증]]
 - [[협업]]
 
diff --git a/10_Wiki/Topics/창의성/178_창의성과_속도_균형.md b/10_Wiki/Topics/창의성/178_창의성과_속도_균형.md
index 4b48e0b5..72bacd6a 100644
--- a/10_Wiki/Topics/창의성/178_창의성과_속도_균형.md
+++ b/10_Wiki/Topics/창의성/178_창의성과_속도_균형.md
@@ -60,7 +60,7 @@ related_notes: [리듬 설계, 프로토타입, 수렴적 사고]
 ## 관련 문서
 - [[리듬 설계]]
 - [[Prototyping|프로토타입]]
-- [[004_수렴적_사고]]
+- [[수렴적 사고]]
 
 ## Raw Source
 - user_request:2026-05-14-creativity-knowledge-batch
diff --git a/10_Wiki/Topics/창의성/182_프롬프트_발상.md b/10_Wiki/Topics/창의성/182_프롬프트_발상.md
index 3d69959f..d0c576e7 100644
--- a/10_Wiki/Topics/창의성/182_프롬프트_발상.md
+++ b/10_Wiki/Topics/창의성/182_프롬프트_발상.md
@@ -59,7 +59,7 @@ related_notes: [AI 협업, 브레인스토밍, 검증]
 
 ## 관련 문서
 - [[AI 협업]]
-- [[061_브레인스토밍]]
+- [[브레인스토밍]]
 - [[검증]]
 
 ## Raw Source
diff --git a/10_Wiki/Topics/창의성/183_AI를_통한_변형_생성.md b/10_Wiki/Topics/창의성/183_AI를_통한_변형_생성.md
index fe5b5aa3..06b99204 100644
--- a/10_Wiki/Topics/창의성/183_AI를_통한_변형_생성.md
+++ b/10_Wiki/Topics/창의성/183_AI를_통한_변형_생성.md
@@ -58,8 +58,8 @@ related_notes: [프롬프트 발상, 시각적 변주, 아이디어 평가]
 - 실제 프로젝트 적용 사례가 생기면 `applied_in`과 `verification_status`를 갱신한다.
 
 ## 관련 문서
-- [[182_프롬프트_발상]]
-- [[107_시각적_변주]]
+- [[프롬프트 발상]]
+- [[시각적 변주]]
 - [[161_아이디어_평가_기준|아이디어 평가]]
 
 ## Raw Source
diff --git a/10_Wiki/Topics/창의성/184_AI와_원격_연상.md b/10_Wiki/Topics/창의성/184_AI와_원격_연상.md
index 67d22144..03fc58d7 100644
--- a/10_Wiki/Topics/창의성/184_AI와_원격_연상.md
+++ b/10_Wiki/Topics/창의성/184_AI와_원격_연상.md
@@ -58,7 +58,7 @@ related_notes: [원격 연상, AI 협업, 선별]
 - 실제 프로젝트 적용 사례가 생기면 `applied_in`과 `verification_status`를 갱신한다.
 
 ## 관련 문서
-- [[022_원격_연상]]
+- [[원격 연상]]
 - [[AI 협업]]
 - [[선별]]
 
diff --git a/10_Wiki/Topics/창의성/185_AI_초안과_인간_편집.md b/10_Wiki/Topics/창의성/185_AI_초안과_인간_편집.md
index 5d0ee436..aacd72e2 100644
--- a/10_Wiki/Topics/창의성/185_AI_초안과_인간_편집.md
+++ b/10_Wiki/Topics/창의성/185_AI_초안과_인간_편집.md
@@ -58,7 +58,7 @@ related_notes: [프롬프트 발상, 톤 앤 매너, 검증]
 - 실제 프로젝트 적용 사례가 생기면 `applied_in`과 `verification_status`를 갱신한다.
 
 ## 관련 문서
-- [[182_프롬프트_발상]]
+- [[프롬프트 발상]]
 - [[105_톤_앤_매너의_창의성|톤 앤 매너]]
 - [[검증]]
 
diff --git a/10_Wiki/Topics/창의성/186_AI_결과의_평균화_위험.md b/10_Wiki/Topics/창의성/186_AI_결과의_평균화_위험.md
index 63468b0c..6a2b6cc8 100644
--- a/10_Wiki/Topics/창의성/186_AI_결과의_평균화_위험.md
+++ b/10_Wiki/Topics/창의성/186_AI_결과의_평균화_위험.md
@@ -59,7 +59,7 @@ related_notes: [AI 협업, 의도적 어색함, 편집]
 
 ## 관련 문서
 - [[AI 협업]]
-- [[098_의도적_어색함]]
+- [[의도적 어색함]]
 - [[편집]]
 
 ## Raw Source
diff --git a/10_Wiki/Topics/창의성/192_AI와_창의성의_검증_루프.md b/10_Wiki/Topics/창의성/192_AI와_창의성의_검증_루프.md
index a619816b..2b975c20 100644
--- a/10_Wiki/Topics/창의성/192_AI와_창의성의_검증_루프.md
+++ b/10_Wiki/Topics/창의성/192_AI와_창의성의_검증_루프.md
@@ -59,7 +59,7 @@ related_notes: [품질 게이트, 반례 찾기, AI 협업]
 
 ## 관련 문서
 - [[품질 게이트]]
-- [[165_반례_찾기]]
+- [[반례 찾기]]
 - [[AI 협업]]
 
 ## Raw Source
diff --git a/10_Wiki/Topics/클라우드_인프라_및_IaC_운영_표준.md b/10_Wiki/Topics/클라우드_인프라_및_IaC_운영_표준.md
index b3b9d117..54dc48aa 100644
--- a/10_Wiki/Topics/클라우드_인프라_및_IaC_운영_표준.md
+++ b/10_Wiki/Topics/클라우드_인프라_및_IaC_운영_표준.md
@@ -89,7 +89,7 @@ tech_stack:
 
 ## 🔗 지식 연결 (Graph)
 - **Parent:** [[10_Wiki/Topics]]
-- **Related:** [[CI_CD_파이프라인_자동화]]
+- **Related:** [[CI/CD 파이프라인 자동화]]
 - **Raw Source:** 직접 입력
 
 ---
diff --git a/10_Wiki/Topics/테스트_전략_및_방법론.md b/10_Wiki/Topics/테스트_전략_및_방법론.md
index afc25a22..2b8762fb 100644
--- a/10_Wiki/Topics/테스트_전략_및_방법론.md
+++ b/10_Wiki/Topics/테스트_전략_및_방법론.md
@@ -88,7 +88,7 @@ tech_stack:
 
 ## 🔗 지식 연결 (Graph)
 - **Parent:** [[10_Wiki/Topics]]
-- **Related:** , [[CI_CD_파이프라인_자동화]]
+- **Related:** , [[CI/CD 파이프라인 자동화]]
 - **Raw Source:** 직접 입력
 
 ---
diff --git a/10_Wiki/Topics/현대적_프론트엔드_아키텍처_및_상태_관리.md b/10_Wiki/Topics/현대적_프론트엔드_아키텍처_및_상태_관리.md
index 2eb235d1..11644085 100644
--- a/10_Wiki/Topics/현대적_프론트엔드_아키텍처_및_상태_관리.md
+++ b/10_Wiki/Topics/현대적_프론트엔드_아키텍처_및_상태_관리.md
@@ -90,7 +90,7 @@ tech_stack:
 ---
 
 ## 🧬 중복 검사 (Duplicate Check)
-- **기존 유사 문서:** [[Frontend_Architecture]], [[FSD (Feature-Sliced Design)]], [[React Component Patterns]], [[State Management]], [[Nextjs-App-Router-Architecture]] 등 100여 개
+- **기존 유사 문서:** [[Frontend Architecture]], [[FSD (Feature-Sliced Design)]], [[React Component Patterns]], [[State Management]], [[Nextjs-App-Router-Architecture]] 등 100여 개
 - **처리 방식:** MERGE & ARCHIVE
 - **처리 이유:** 프론트엔드 기술은 파편화되기 쉬우나, '컴포넌트'와 '상태'라는 두 축으로 모든 지식을 통합할 수 있음. 이를 통해 파편화된 기술 스택 가이드를 하나의 현대적 표준으로 융합함.
 
@@ -104,7 +104,7 @@ tech_stack:
 
 ## 🔗 지식 연결 (Graph)
 - **Parent:** [[10_Wiki/Topics]]
-- **Related:** [[도메인_주도_설계(DDD)_및_소프트웨어_아키텍처]]
+- **Related:** [[도메인 주도 설계(DDD) 및 소프트웨어 아키텍처]]
 - **Raw Source:** Frontend 폴더 내 다수 파일
 
 ---