Wiki cleanup: error-doc removal, dedup merge, link normalization

10_Wiki/Topics 대규모 정리:
- 오류 캡처/미완성 stub 문서 227개 제거
- 교차폴더 중복 43클러스터 병합 (63파일 → redirect)
- 링크명 정규화: 깨진 링크 수정·redirect 직결·개념 매핑 ~2,400건
- 카테고리 MOC 6개 신규 생성
- Graph 섹션 미해결 related-keyword 링크 10,058건 제거

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

10_Wiki/Topics/AI_and_ML/Data Distillation (데이터 증류).md

@@ -248,10 +248,10 @@ def dp_distill(real_data, epsilon=1.0):
 **기본값**: Self-distillation from larger model (LLM era).
 
 ## 🔗 Graph
-- 부모: [[ML-Training]] · [[Knowledge-Distillation]] · [[Data-Efficiency]]
-- 변형: [[Dataset-Distillation]] · [[Self-Distillation]] · [[LIMA]] · [[Synthetic-Data]]
-- 응용: [[Phi-3]] · [[Vicuna]] · [[sLLM]] · [[Continual-Learning]]
-- Adjacent: [[Cross-Entropy Loss]] · [[Catastrophic-Forgetting]] · [[Computational-Creativity]] · [[CV_Synthesis]]
+- 부모: [[LLM_Optimization_and_Deployment_Strategies|Knowledge-Distillation]]
+- 변형: [[Dataset-Distillation]] · [[Self-Distillation]] · [[Synthetic-Data]]
+- 응용: [[sLLM]] · [[Continual-Learning]]
+- Adjacent: [[Cross-Entropy Loss]] · [[Catastrophic-Forgetting]] · [[Computational_Creativity|Computational-Creativity]] · [[CV_Synthesis]]
 
 ## 🤖 LLM 활용
 **언제**: 매 sLLM training. 매 cost-efficient deploy. 매 privacy-sensitive. 매 continual replay.
@@ -267,7 +267,7 @@ def dp_distill(real_data, epsilon=1.0):
 ## 🧪 검증 / 중복
 - Verified (Wang 2018 dataset distillation, Hinton 2015 KD, Phi-3 paper, LIMA paper).
 - 신뢰도 A.
-- Related: [[Cross-Entropy Loss]] · [[Catastrophic-Forgetting]] · [[Computational-Creativity]] · [[CV_Synthesis]] · [[Cost-Benefit Analysis in AI]].
+- Related: [[Cross-Entropy Loss]] · [[Catastrophic-Forgetting]] · [[Computational_Creativity|Computational-Creativity]] · [[CV_Synthesis]] · [[Cost-Benefit Analysis in AI]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |