refactor: lead provenance, unified link path, SSOT cleanup, configurable weights

Five interrelated cleanups:

1. Lead -> Phenomenon provenance
   - Phenomenon.from_lead_id field on the dataclass
   - BaseAgent.run(lead_id=...) writes self._current_lead_id
   - _add_phenomenon auto-injects from agent state (LLM unaware)
   - Orchestrator dispatch passes lead.id; Phase 1/2-auto/4/5 stay None
   - Merge path preserves the first non-None lead_id on collision

2. Unified Phenomenon <-> Hypothesis link path
   - HypothesisAgent only adds hypotheses, never links
   - link_phenomenon_to_hypothesis tool + executor removed
   - All links go through Orchestrator._judge_new_phenomena
   - Phase 2 unconditionally judges after hypothesis generation
   - Gap Analysis judges after each dispatch round
   (Three previously-missing judge calls now in place.)

3. SSOT in agent subclasses
   - Remove RoleTemplate dataclass, ROLE_TEMPLATES dict,
     _instantiate_from_template method
   - Each agent subclass owns name, role, and tool list
   - agent_factory.py shrinks from 299 to 153 lines
   - All 7 agents now route through _AGENT_CLASSES (filesystem,
     registry, communication, network, timeline were previously dead
     subclasses overridden by templates)

4. Configurable edge weights
   - HYPOTHESIS_EDGE_WEIGHTS -> _DEFAULT_EDGE_WEIGHTS (private default)
   - EvidenceGraph(edge_weights=...) override via config.yaml
   - hypothesis_edge_weights section in config.yaml (commented example)
   - main.py and regenerate_report.py read and pass through

5. regenerate_report.py auto-picks the latest run/*/graph_state.json
   when no CLI arg is given (was a hardcoded date path)

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

main.py

@@ -229,6 +229,7 @@ async def async_main() -> None:
         graph = EvidenceGraph(
             case_info=config.get("cfreds_hacking_case", {}),
             persist_path=run_dir / "graph_state.json",
+            edge_weights=config.get("hypothesis_edge_weights"),
         )
         graph.image_path = image_path
         graph.partition_offset = partition_offset