feat(precedents): surface auto-detected incoming citations in the "ציטוטים מקושרים" panel

The precedent-detail "ציטוטים מקושרים" panel rendered only MANUAL appeal-chain
links (case_law_relations), so it stayed empty even when decisions cite the
ruling — the automatic citation graph (precedent_internal_citations) was never
surfaced. e.g. עע"מ 317/10 (שפר) has 12 incoming citations in the DB, none shown.

Fills the existing panel from the citation graph (data/logic only, no new
visual design — gate-exempt per web-ui/AGENTS.md):
- citation_extractor.list_citations_to_case_law: return source precedent_level/
  court/date too (additive; reuses the one canonical incoming query — G2).
- precedent_library.get_precedent: add incoming_citations[], shaped like the
  RelatedCase row. No parallel resolution path.
- web-ui: render incoming citations in the same row style, read-only (no unlink),
  de-duped against manual links; manual "קשר" linking preserved alongside.

Invariants: G2 (single citation-resolution path, reused), G1 (graph self-heals
via existing relink_orphan_citations on upload). No schema change.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

mcp-server/src/legal_mcp/services/citation_extractor.py

@@ -404,7 +404,10 @@ async def list_citations_to_case_law(case_law_id: UUID) -> list[dict]:
                cl.case_number AS source_case_number,
                cl.case_name AS source_case_name,
                cl.chair_name AS source_chair_name,
-               cl.district AS source_district
+               cl.district AS source_district,
+               cl.precedent_level AS source_precedent_level,
+               cl.court AS source_court,
+               cl.date AS source_date
           FROM precedent_internal_citations pic
           JOIN case_law cl ON cl.id = pic.source_case_law_id
          WHERE pic.cited_case_law_id = $1

mcp-server/src/legal_mcp/services/precedent_library.py

@@ -411,6 +411,28 @@ async def get_precedent(case_law_id: UUID | str) -> dict | None:
         return None
     record["halachot"] = await db.list_halachot(case_law_id=case_law_id, limit=500)
     record["related_cases"] = await db.get_case_law_relations(case_law_id)
+    # Auto-detected citation graph: which decisions cite THIS ruling (incoming
+    # edges in precedent_internal_citations). Reuses the canonical query (G2) —
+    # no parallel resolution path. Shaped to match the front-end RelatedCase row
+    # so the existing "ציטוטים מקושרים" panel renders them with no visual change.
+    from legal_mcp.services import citation_extractor as _ce
+    raw = await _ce.list_citations_to_case_law(case_law_id)
+    record["incoming_citations"] = [
+        {
+            "id": r["source_case_law_id"],
+            "case_number": r.get("source_case_number") or r.get("cited_case_number") or "",
+            "case_name": r.get("source_case_name") or "",
+            "court": r.get("source_court") or "",
+            "precedent_level": r.get("source_precedent_level") or "",
+            "chair_name": r.get("source_chair_name") or "",
+            "date": (
+                r["source_date"].isoformat()
+                if r.get("source_date") is not None else None
+            ),
+            "confidence": r.get("confidence"),
+        }
+        for r in raw
+    ]
     return record