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
 
 

web-ui/src/app/precedents/[id]/page.tsx

@@ -236,7 +236,11 @@ export default function PrecedentDetailPage({
 
           {/* side rail — citations + corroboration */}
           <div className="space-y-4">
-            <RelatedCasesSection caseId={id} related={data.related_cases ?? []} />
+            <RelatedCasesSection
+              caseId={id}
+              related={data.related_cases ?? []}
+              incoming={data.incoming_citations ?? []}
+            />
           </div>
         </div>
       </div>

web-ui/src/components/precedents/link-related-dialog.tsx

@@ -18,6 +18,7 @@ import {
   useLinkRelatedCase,
   useUnlinkRelatedCase,
   RelatedCase,
+  IncomingCitation,
 } from "@/lib/api/precedent-library";
 
 const LEVEL_LABELS: Record<string, string> = {
@@ -133,19 +134,28 @@ function LinkDialog({ caseId, currentRelated, open, onOpenChange }: DialogProps)
 type SectionProps = {
   caseId: string;
   related: RelatedCase[];
+  /** Decisions that cite THIS ruling — auto-detected from the citation graph
+   *  (read-only). Optional so existing call-sites stay valid. */
+  incoming?: IncomingCitation[];
 };
 
 /* Rail-styled citations card (mockup 08 side rail). Renders linked related
  * decisions as a navy-headed card with arrow-prefixed rows; keeps the full
- * link/unlink logic. Used in the precedent-detail side rail. */
+ * link/unlink logic. Auto-detected incoming citations (decisions that cite this
-export function RelatedCasesSection({ caseId, related }: SectionProps) {
+ * ruling) render in the SAME row style, read-only (no unlink). Used in the
+ * precedent-detail side rail. */
+export function RelatedCasesSection({ caseId, related, incoming = [] }: SectionProps) {
   const [dialogOpen, setDialogOpen] = useState(false);
+  // De-dupe: a decision already linked manually shouldn't appear twice.
+  const manualIds = new Set(related.map((r) => r.id));
+  const autoCites = incoming.filter((c) => !manualIds.has(c.id));
+  const total = related.length + autoCites.length;
 
   return (
     <div className="rounded-lg border border-rule bg-surface shadow-sm px-4 py-3.5 space-y-2.5">
       <div className="flex items-center justify-between gap-2">
         <h3 className="text-navy text-[0.92rem] font-semibold m-0">
-          ציטוטים מקושרים{related.length > 0 ? ` (${related.length})` : ""}
+          ציטוטים מקושרים{total > 0 ? ` (${total})` : ""}
         </h3>
         <Button
           variant="outline"
@@ -157,10 +167,46 @@ export function RelatedCasesSection({ caseId, related }: SectionProps) {
         </Button>
       </div>
 
-      {related.length === 0 ? (
+      {total === 0 ? (
         <p className="text-ink-muted text-[0.82rem] m-0">אין החלטות קשורות עדיין</p>
       ) : (
         <ul className="list-none p-0 m-0">
+          {autoCites.map((c) => (
+            <li
+              key={c.id}
+              className="flex items-start gap-2 py-2 border-b border-rule-soft last:border-b-0"
+            >
+              <span className="text-gold font-bold leading-6 shrink-0" aria-hidden>←</span>
+              <a
+                href={`/precedents/${c.id}`}
+                className="min-w-0 flex-1 group hover:opacity-90 transition-opacity"
+              >
+                <div className="text-[0.82rem] text-ink-soft leading-5 group-hover:text-navy">
+                  {c.case_name || c.case_number}
+                </div>
+                <div className="flex items-center gap-2 mt-0.5 flex-wrap">
+                  {c.precedent_level && (
+                    <Badge
+                      variant="outline"
+                      className={`text-[0.6rem] ${LEVEL_COLORS[c.precedent_level] ?? ""}`}
+                    >
+                      {LEVEL_LABELS[c.precedent_level] ?? c.precedent_level}
+                    </Badge>
+                  )}
+                  {(c.chair_name || c.court) && (
+                    <span className="text-[0.68rem] text-ink-muted truncate">
+                      {c.chair_name || c.court}
+                    </span>
+                  )}
+                  {c.date && (
+                    <span className="text-[0.68rem] text-ink-muted tabular-nums" dir="ltr">
+                      {c.date.slice(0, 10)}
+                    </span>
+                  )}
+                </div>
+              </a>
+            </li>
+          ))}
           {related.map((r) => (
             <li
               key={r.id}

web-ui/src/lib/api/precedent-library.ts

@@ -143,10 +143,24 @@ export type RelatedCase = {
   relation_type: string;
 };
 
+/** A decision that cites THIS ruling — auto-detected from the citation graph
+ *  (precedent_internal_citations incoming edges). Read-only (no unlink). */
+export type IncomingCitation = {
+  id: string;
+  case_number: string;
+  case_name: string;
+  court: string;
+  precedent_level: string;
+  chair_name: string;
+  date: string | null;
+  confidence: number | null;
+};
+
 export type PrecedentDetail = Precedent & {
   full_text: string;
   halachot: Halacha[];
   related_cases: RelatedCase[];
+  incoming_citations: IncomingCitation[];
 };
 
 export type SearchHit =