feat(WP-0013): IHF Phase 12 — Platform Memory and Continuous Learning

Closes the long-range feedback loop: outcome signals now enrich the full
traceability chain and feed back into routing, triage, and AI proposals.

Schema (T01):
- outcome_correlations (CHECK correlation_type)
- pattern_performance_records
- adaptive_threshold_configs
- institutional_knowledge_entries (GIN tsvector FTS)
- learning_insights (CHECK insight_type)
- ALTER TABLE decision_records + requirement_candidates: outcome_summary JSONB
- AFTER INSERT trigger trg_enrich_lineage on outcome_signals
- contracts/core/ updated (outcome-summary-columns-v1, append-only addendum)

Correlation engine (T02):
- Application/Helper/CorrelationEngine.hs: pure annotation→outcome SQL
- Web/Controller/OutcomeCorrelations.hs: ComputeCorrelationsAction + index

Pattern performance (T03):
- Web/Controller/PatternPerformance.hs: ComputePatternPerformanceAction

Adaptive thresholds (T04):
- Web/Controller/AdaptiveThresholds.hs: CalibrateThresholdsAction
- Application/Helper/FrictionScore.hs: applyAdaptiveWeights

Institutional knowledge (T05):
- DistilDecisionAction in DecisionRecords controller
- Web/Controller/InstitutionalKnowledge.hs: QueryKnowledgeBaseAction

Lineage enrichment (T06):
- Web/Controller/LineageEnrichment.hs: EnrichLineageAction (batch backfill)
- enrich_lineage_on_outcome_batch() PL/pgSQL helper in migration

Learning dashboard (T07):
- Web/Controller/LearningDashboard.hs: 5-panel autoRefresh view
- "Learning" nav link in FrontController

API v2 learning endpoints (T08):
- GET /api/v2/outcome-correlations, /pattern-performance, /knowledge-base/{id}
- OpenAPI schemas: OutcomeCorrelation, PatternPerformanceRecord, InstitutionalKnowledgeEntry

GAAF scorecard + docs (T09):
- Core 3.8→3.9, Functional 3.6→3.8, overall 3.61→3.68
- CLAUDE.md: IHF v0.2 complete, no active workplan

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

Web/Types.hs

@@ -424,6 +424,45 @@ data AiGovernancePoliciesController
     | ToggleAiGovernancePolicyAction { aiGovernancePolicyId :: !(Id AiGovernancePolicy) }
     deriving (Eq, Show, Data)
 
+-- Phase 12 — Platform Memory and Continuous Learning
+
+data OutcomeCorrelationsController
+    = OutcomeCorrelationsAction
+    | ComputeCorrelationsAction { hubId :: !(Id Hub) }
+    deriving (Eq, Show, Data)
+
+data PatternPerformanceController
+    = PatternPerformanceAction
+    | ComputePatternPerformanceAction { hubIdForPerformance :: !(Id Hub) }
+    deriving (Eq, Show, Data)
+
+data AdaptiveThresholdsController
+    = AdaptiveThresholdsAction
+    | CalibrateThresholdsAction { hubIdForThreshold :: !(Id Hub) }
+    deriving (Eq, Show, Data)
+
+data InstitutionalKnowledgeController
+    = InstitutionalKnowledgeAction
+    | ShowInstitutionalKnowledgeAction { knowledgeEntryId :: !(Id InstitutionalKnowledgeEntry) }
+    | QueryKnowledgeBaseAction
+    deriving (Eq, Show, Data)
+
+data LineageEnrichmentController
+    = LineageEnrichmentAction
+    | EnrichLineageAction { hubIdForLineage :: !(Id Hub) }
+    deriving (Eq, Show, Data)
+
+data LearningDashboardController
+    = LearningDashboardAction
+    deriving (Eq, Show, Data)
+
+data ApiV2LearningController
+    = ApiV2IndexOutcomeCorrelationsAction
+    | ApiV2IndexPatternPerformanceAction
+    | ApiV2IndexKnowledgeBaseAction
+    | ApiV2ShowKnowledgeBaseAction { knowledgeEntryId :: !(Id InstitutionalKnowledgeEntry) }
+    deriving (Eq, Show, Data)
+
 data SessionsController
     = NewSessionAction
     | CreateSessionAction