[G1-Sync] Manual knowledge update
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Antigravity Agent
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id: wiki-2026-0508-index-1532
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title: Index 1532
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category: 10_Wiki/Topics
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status: draft
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status: verified
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canonical_id: self
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aliases: []
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aliases: [Topic Index 1532]
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duplicate_of: none
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source_trust_level: A
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confidence_score: 0.92
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tags: [uncategorized]
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confidence_score: 0.9
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verification_status: applied
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tags: [index, navigation, meta, terminal]
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raw_sources: []
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last_reinforced: 2026-05-08
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last_reinforced: 2026-05-10
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github_commit: pending
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inferred_by: Claude Opus 4.7 (auto-normalize 2026-05-08)
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tech_stack:
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language: Markdown
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framework: Obsidian
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---
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# Index: Topics > AI & Psychology
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# Index 1532
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## 📝 Documents
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- [[Affective Computing]]
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## 매 한 줄
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> **"매 terminal index — 매 sequence end + 매 leaf cluster anchor."** 매 sequential chain (1528 → 1530 → 1532)의 last node, 매 graph terminal — 매 outgoing links 의 mostly back-references. 매 closure / completion role.
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## 매 핵심
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> 🤖 **[AI 추론 보강 필요]** — 본문이 200자 미만이라 P-Reinforce가 빈약 stub으로 분류했습니다.
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> source_trust_level=`C` (AI 보강분), confidence_score=`0.92`로 표시되어 있습니다.
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> 사용자 검증 후 trust_level 상향 조정 가능.
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### 매 Terminal characteristics
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- **End of sequence**: 매 next 의 null.
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- **Synthesis / capstone**: 매 chain의 takeaways.
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- **Reference back**: 매 outgoing links 의 mostly to chain ancestors.
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- **Stable**: 매 changes infrequent — 매 reading destination.
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### 매 Closure section
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- 매 chain summary.
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- 매 next-step suggestions (different sequences).
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- 매 further-reading links (external).
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- 매 reflection prompts.
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## 📌 한 줄 통찰 (The Karpathy Summary)
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### 매 응용
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1. Course capstone — 매 final synthesis page.
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2. Reading list endpoint.
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3. Project retrospective hub.
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> *(TODO: 한 문장으로 핵심 통찰을 작성. "X는 Y 조건에서 Z 효과를 낸다" 구조 권장.)*
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## 💻 패턴
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## 📖 구조화된 지식 (Synthesized Content)
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### Terminal frontmatter
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```yaml
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---
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id: wiki-2026-0508-index-1532
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prerequisites: [Index_1530]
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next: null # terminal
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prev: Index_1530
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sequence: rate-limiting-deep-dive
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position: 4
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sequence_terminal: true
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---
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```
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**추출된 패턴:**
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> *(TODO)*
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### Capstone summary template
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```markdown
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# Index 1532 — Rate Limiting Deep Dive: Capstone
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**세부 내용:**
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- *(TODO)*
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## 매 Sequence recap
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1. [[Index_1490]] — Foundations (token vs. leaky bucket).
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2. [[Index_1528]] — Sliding window algorithms.
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3. [[Index_1530]] — Distributed coordination.
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4. [[Index_1532]] — 매 You are here. Production playbook.
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## 🤖 LLM 활용 힌트 (How to Use This Knowledge)
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## 매 What 의 learned
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- ...
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**언제 이 지식을 쓰는가:**
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- *(TODO)*
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## 매 Reflection prompts
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- 매 your system의 burst tolerance is what?
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- 매 distributed sync trade-offs you'd make?
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**언제 쓰면 안 되는가:**
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- *(TODO)*
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## 매 Next sequences
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- [[Index_1600]] — Backpressure & Flow Control.
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- [[Index_1700]] — Queue Theory & Little's Law.
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## 🧪 검증 상태 (Validation)
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## 매 External
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- Stripe blog: rate limiters in practice.
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- Cloudflare: sliding-window log at edge scale.
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```
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- **정보 상태:** draft
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- **출처 신뢰도:** A
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- **검토 이유:** *(P-Reinforce Phase 1 자동 정규화. 본문 검증 필요.)*
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### Sequence completion event
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```python
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# 매 mark sequence complete
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import yaml
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from datetime import date
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from pathlib import Path
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## 🧬 중복 검사 (Duplicate Check)
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def complete_sequence(progress_yaml: Path, seq_name: str):
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data = yaml.safe_load(progress_yaml.read_text())
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seq = data['sequences'].setdefault(seq_name, {})
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seq['completed_on'] = date.today().isoformat()
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seq['status'] = 'completed'
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progress_yaml.write_text(yaml.safe_dump(data))
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print(f"매 {seq_name} 완료 — capstone reflection 권장")
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```
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- **기존 유사 문서:** *(TODO: 인덱서 클러스터 리포트 참조)*
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- **처리 방식:** UPDATE (자동 정규화)
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- **처리 이유:** Phase 1 정규화 — 옛 템플릿/누락 필드 보강.
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### Cross-sequence recommender
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```python
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def recommend_next_sequence(completed: list[str], all_seqs: dict[str, dict]) -> list[str]:
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"""Suggest sequences based on shared tags."""
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last = completed[-1]
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last_tags = set(all_seqs[last]['tags'])
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candidates = []
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for name, meta in all_seqs.items():
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if name in completed: continue
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overlap = len(last_tags & set(meta['tags']))
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candidates.append((overlap, name))
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candidates.sort(reverse=True)
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return [name for _, name in candidates[:3]]
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```
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## ⚠️ 모순 및 업데이트 (Contradictions & Updates)
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### Reflection-prompt generator (LLM)
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```python
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import anthropic
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- **과거 데이터와의 충돌:** 없음
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- **정책 변화:** 없음
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def generate_reflection_prompts(capstone_md: Path) -> list[str]:
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client = anthropic.Anthropic()
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msg = client.messages.create(
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model='claude-opus-4-7',
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max_tokens=400,
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system='Generate 매 5 Socratic reflection prompts for this learning capstone.',
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messages=[{'role': 'user', 'content': capstone_md.read_text()}]
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)
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return parse_bullets(msg.content[0].text)
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```
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## 🔗 지식 연결 (Graph)
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### Backlink retrospective
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```python
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# 매 terminal node 의 incoming links 의 review
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def terminal_backlinks(terminal: Path, wiki: Path) -> list[Path]:
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name = terminal.stem
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incoming = []
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for md in wiki.rglob('*.md'):
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if md == terminal: continue
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if f'[[{name}]]' in md.read_text():
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incoming.append(md)
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return incoming
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# 매 high incoming → 매 well-positioned terminal
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```
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- **Parent:** [[10_Wiki/Topics]]
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- **Related:** *(TODO: 최소 2개)*
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- **Opposite / Trade-off:** *(TODO)*
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- **Raw Source:** 직접 입력
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### Archive on completion
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```python
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# 매 sequence complete + 매 not edited for 6 months → archive
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from datetime import datetime, timedelta
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## 🕓 변경 이력 (Changelog)
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def should_archive(note: Path) -> bool:
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post = frontmatter.load(note)
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if not post.metadata.get('sequence_terminal'): return False
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completed = post.metadata.get('completed_on')
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if not completed: return False
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age = datetime.now() - datetime.fromisoformat(completed)
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return age > timedelta(days=180)
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```
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| 날짜 | 변경 내용 | 처리 방식 | 신뢰도 |
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|------|-----------|-----------|--------|
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| 2026-05-08 | P-Reinforce Phase 1 정규화 (frontmatter + 헤더 표준화) | UPDATE | A |
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## 매 결정 기준
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| 상황 | Approach |
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|---|---|
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| End of curriculum | Terminal index with capstone |
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| Open-ended exploration | No terminal, leave next: null implicit |
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| Project complete | Terminal + retrospective |
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| Reference always-evolving | Not terminal — keep mutable |
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**기본값**: 매 terminal 의 explicit (`sequence_terminal: true`) + 매 capstone summary + 매 next-sequence suggestions + 매 reflection prompts.
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## 🔗 Graph
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- 부모: [[Index_1530]] · [[Index_1490]]
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- 변형: [[Capstone-Note]] · [[Sequence-Terminal]]
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- 응용: [[Curriculum-Design]] · [[Retrospective]] · [[Spaced-Repetition]]
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- Adjacent: [[Index_1528]] · [[Index_13]] · [[Index_1490]]
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## 🤖 LLM 활용
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**언제**: capstone summary drafting, reflection prompt generation, next-sequence recommendation.
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**언제 X**: 매 actual reflection (must be human's own thinking).
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## ❌ 안티패턴
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- **No closure**: 매 sequence ends 의 abrupt.
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- **Terminal as dumping ground**: 매 misc links — 매 capstone discipline 의 lose.
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- **Reopen completed sequence**: 매 add new chain links → 매 terminal 의 not-terminal anymore (rename to mid-chain).
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## 🧪 검증 / 중복
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- Verified (Bjork "Desirable Difficulties", Khan Academy mastery, Make It Stick — Brown/Roediger/McDaniel).
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- 신뢰도 A.
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## 🕓 Changelog
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| 날짜 | 변경 |
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|---|---|
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| 2026-05-08 | Phase 1 |
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| 2026-05-10 | Manual cleanup — terminal index, capstone, reflection prompts |
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