diff --git a/app/core/ingestion/ingestion_processor.py b/app/core/ingestion/ingestion_processor.py
index 18e06a0..dd3d78e 100644
--- a/app/core/ingestion/ingestion_processor.py
+++ b/app/core/ingestion/ingestion_processor.py
@@ -5,8 +5,8 @@ DESCRIPTION: Der zentrale IngestionService (Orchestrator).
              WP-25a: Integration der Mixture of Experts (MoE) Architektur.
              WP-15b: Two-Pass Workflow mit globalem Kontext-Cache.
              WP-20/22: Cloud-Resilienz und Content-Lifecycle integriert.
-             AUDIT v3.0.0: Synchronisierung der bidirektionalen Graph-Logik.
-VERSION: 3.0.0 (WP-24c: Symmetric Graph Ingestion)
+             AUDIT v3.1.0: Korrektur der bidirektionalen Graph-Injektion für Qdrant.
+VERSION: 3.1.0 (WP-24c: Symmetric Edge Injection Fix)
 STATUS: Active
 """
 import logging
@@ -30,11 +30,11 @@ from app.services.embeddings_client import EmbeddingsClient
 from app.services.edge_registry import registry as edge_registry
 from app.services.llm_service import LLMService 
 
-# Package-Interne Imports (Refactoring WP-14 / WP-24c)
+# Package-Interne Imports
 from .ingestion_utils import load_type_registry, resolve_note_type, get_chunk_config_by_profile
 from .ingestion_db import fetch_note_payload, artifacts_missing, purge_artifacts
-# WP-24c: Import der erweiterten Symmetrie-Logik
-from .ingestion_validation import validate_edge_candidate, validate_and_symmetrize
+# WP-24c: Wir nutzen die Basis-Validierung; die Symmetrie wird im Prozessor injiziert
+from .ingestion_validation import validate_edge_candidate
 from .ingestion_note_payload import make_note_payload
 from .ingestion_chunk_payload import make_chunk_payloads
 
@@ -169,22 +169,21 @@ class IngestionService:
             # WP-15b: Chunker-Aufruf bereitet den Candidate-Pool pro Chunk vor.
             chunks = await assemble_chunks(note_id, body_text, note_type, config=chunk_cfg)
             
-            # Semantische Kanten-Validierung & Symmetrie (WP-24c / WP-25a)
+            # Semantische Kanten-Validierung (Primärprüfung)
             for ch in chunks:
                 new_pool = []
                 for cand in getattr(ch, "candidate_pool", []):
-                    # WP-24c: Nutzung des erweiterten Symmetrie-Gateways
+                    # WP-25a: Profilgesteuerte binäre Validierung
                     if cand.get("provenance") == "global_pool" and enable_smart:
-                        # Erzeugt Primär- und Inverse Kanten falls validiert
-                        res_batch = await validate_and_symmetrize(
+                        is_valid = await validate_edge_candidate(
                             chunk_text=ch.text,
                             edge=cand,
-                            source_id=note_id,
                             batch_cache=self.batch_cache,
                             llm_service=self.llm,
                             profile_name="ingest_validator"
                         )
-                        new_pool.extend(res_batch)
+                        if is_valid:
+                            new_pool.append(cand)
                     else: 
                         # Explizite Kanten (Wikilinks/Callouts) werden übernommen
                         new_pool.append(cand)
@@ -200,19 +199,51 @@ class IngestionService:
             vecs = await self.embedder.embed_documents([c.get("window") or "" for c in chunk_pls]) if chunk_pls else []
             
             # Aggregation aller finalen Kanten (Edges)
-            edges = build_edges_for_note(
+            raw_edges = build_edges_for_note(
                 note_id, chunk_pls, 
                 note_level_references=note_pl.get("references", []),
                 include_note_scope_refs=note_scope_refs
             )
             
-            # Kanten-Typen via Registry validieren/auflösen
-            for e in edges:
-                e["kind"] = edge_registry.resolve(
+            # --- WP-24c: Symmetrie-Injektion (Invers-Kanten Fix) ---
+            # Wir bauen die finalen Kanten-Objekte inklusive ihrer Gegenstücke
+            final_edges = []
+            for e in raw_edges:
+                # 1. Primär-Kante auflösen & kanonisieren
+                resolved_kind = edge_registry.resolve(
                     e.get("kind", "related_to"), 
                     provenance=e.get("provenance", "explicit"), 
                     context={"file": file_path, "note_id": note_id, "line": e.get("line", "system")}
                 )
+                e["kind"] = resolved_kind
+                final_edges.append(e)
+                
+                # 2. Symmetrie-Erzeugung via Registry
+                inverse_kind = edge_registry.get_inverse(resolved_kind)
+                target_id = e.get("target_id")
+                
+                # Wir erzeugen eine Inverse nur bei sinnvoller Symmetrie und existierendem Ziel
+                if inverse_kind and inverse_kind != resolved_kind and target_id:
+                    # Deep Copy für die Inverse zur Vermeidung von Side-Effects
+                    inv_edge = e.copy()
+                    
+                    # Richtungs-Umkehr
+                    inv_edge["note_id"] = target_id    # Ursprung ist nun das Ziel
+                    inv_edge["target_id"] = note_id    # Ziel ist nun die Quelle
+                    inv_edge["kind"] = inverse_kind
+                    
+                    # Metadaten-Anpassung
+                    inv_edge["virtual"] = True
+                    inv_edge["provenance"] = "structure" # Schutz durch Firewall
+                    inv_edge["confidence"] = e.get("confidence", 0.9) * 0.9 # Leichte Dämpfung
+                    
+                    # Lifecycle-Verankerung: Die Inverse gehört logisch zur Quell-Note
+                    inv_edge["origin_note_id"] = note_id 
+                    
+                    final_edges.append(inv_edge)
+                    logger.info(f"🔄 [SYMMETRY] Built inverse in payload: {target_id} --({inverse_kind})--> {note_id}")
+
+            edges = final_edges
 
             # 4. DB Upsert via modularisierter Points-Logik
             if purge_before and old_payload: 
@@ -227,7 +258,7 @@ class IngestionService:
                 c_pts = points_for_chunks(self.prefix, chunk_pls, vecs)[1]
                 upsert_batch(self.client, f"{self.prefix}_chunks", c_pts)
             
-            # Speichern der Kanten
+            # Speichern der Kanten (inklusive der virtuellen Inversen)
             if edges: 
                 e_pts = points_for_edges(self.prefix, edges)[1]
                 upsert_batch(self.client, f"{self.prefix}_edges", e_pts)