cleanup: remove dead code and duplicate docs

- Remove session-ses_2f27.md (161KB raw session log)
- Remove 49 ROOT_* duplicate files across REFERENCE/
- Remove 14 duplicate files between REFERENCE/ root and history/
- Remove asr_legacy.rs (dead code, replaced by asr.rs)
- Remove src/core/worker/ (duplicate JobWorker)
- Remove src/core/layers/ (empty directory)
- Remove 4 .bak files in src/
- Remove 7 dead private methods in worker/processor.rs
- Remove backup directory from git tracking

scripts/tmdb_identity_integration.py

@@ -104,7 +104,6 @@ def download_image(image_url: str, save_path: Path) -> bool:
 def load_insightface():
     """Load InsightFace model"""
     try:
-        import insightface
         from insightface.app import FaceAnalysis
         
         print("🔧 Loading InsightFace buffalo_l...")
@@ -351,18 +350,18 @@ def main():
         print(f"  [{i+1}/{min(len(images), args.limit)}] {file_path}")
         
         if not local_path.exists():
-            print(f"    🔧 Downloading...")
+            print("    🔧 Downloading...")
             if not download_image(image_url, local_path):
                 continue
         
-        print(f"    🔧 Extracting embedding...")
+        print("    🔧 Extracting embedding...")
         result = extract_face_embedding(app, local_path)
         
         if result:
             face_embeddings.append(result)
             print(f"    ✅ Success: angle={result['angle']}, quality={result['quality_score']:.2f}")
         else:
-            print(f"    ⚠️ Failed")
+            print("    ⚠️ Failed")
     
     if not face_embeddings:
         print("❌ No valid face embeddings extracted")
@@ -386,7 +385,7 @@ def main():
     )
     
     if uuid:
-        print(f"\n🎉 Integration completed!")
+        print("\n🎉 Integration completed!")
         print(f"   Identity: {name}")
         print(f"   UUID: {uuid}")
         print(f"   TMDB ID: {tmdb_id}")