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/Cross-Entropy Loss.md

@@ -217,9 +217,9 @@ def mixup_loss(logits, y_a, y_b, lam):
 **기본값**: F.cross_entropy + label_smoothing 0.1 (대부분).
 
 ## 🔗 Graph
-- 부모: [[Loss-Function]] · [[Information-Theory]] · [[Deep-Learning]]
-- 변형: [[Focal-Loss]] · [[Label-Smoothing]] · [[Knowledge-Distillation]] · [[KL-Divergence]]
-- 응용: [[Classification]] · [[LLM-Pretraining]] · [[Image-Classification]] · [[Calibration]]
+- 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]]
 
 ## 🤖 LLM 활용
@@ -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]] · [[Bias-vs-Variance]] · [[Bias-Correction-Algorithm]] · [[Best-of-N_Sampling]].
+- Related: [[Information_Theory|Information-Theory]] · [[Bias-vs-Variance]] · [[Bias-Correction-Algorithm]] · [[Best-of-N_Sampling]].
 
 ## 🕓 Changelog
 | 날짜 | 변경 |