Architecture designer, author cluster names, FP filtering, new pages

- Add /architecture page: system-of-systems view with 8 layers, component
  cards, gap markers, source coverage chart, and clickable detail sidebar
- Give author clusters meaningful names from orgs + draft topic keywords
- Filter false positives (73 drafts, 54 ideas) from idea clusters,
  architecture, ideas listing, and search results
- Add NIST source fetcher with curated catalog of 11 AI publications
- New pages: trends, complexity, sources, false positives, idea analysis
- Clickable gap cards with full details (evidence, priority, nearby work)
- Component detail panel with linked drafts and top ideas

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

src/ietf_analyzer/db.py

@@ -761,16 +761,30 @@ class Database:
         ).fetchall()
         return [r["name"] for r in rows]
 
-    def all_ideas(self) -> list[dict]:
-        rows = self.conn.execute(
-            "SELECT * FROM ideas ORDER BY draft_name"
-        ).fetchall()
+    def all_ideas(self, include_false_positives: bool = False) -> list[dict]:
+        if include_false_positives:
+            rows = self.conn.execute(
+                "SELECT * FROM ideas ORDER BY draft_name"
+            ).fetchall()
+        else:
+            rows = self.conn.execute(
+                "SELECT i.* FROM ideas i "
+                "WHERE i.draft_name NOT IN "
+                "(SELECT draft_name FROM ratings WHERE false_positive = 1) "
+                "ORDER BY i.draft_name"
+            ).fetchall()
         return [{"title": r["title"], "description": r["description"],
                  "type": r["idea_type"], "draft_name": r["draft_name"],
                  "novelty_score": r["novelty_score"]} for r in rows]
 
-    def idea_count(self) -> int:
-        return self.conn.execute("SELECT COUNT(*) FROM ideas").fetchone()[0]
+    def idea_count(self, include_false_positives: bool = False) -> int:
+        if include_false_positives:
+            return self.conn.execute("SELECT COUNT(*) FROM ideas").fetchone()[0]
+        return self.conn.execute(
+            "SELECT COUNT(*) FROM ideas "
+            "WHERE draft_name NOT IN "
+            "(SELECT draft_name FROM ratings WHERE false_positive = 1)"
+        ).fetchone()[0]
 
     def ideas_with_drafts(self, unscored_only: bool = False, limit: int = 5000) -> list[dict]:
         """Return ideas joined with draft title, optionally only unscored ones."""