feat: Intelligence Pipeline v3 — full implementation

Multi-stage evidence-grounded inference architecture replacing the
monolithic 9B model extraction pipeline. CPU-first specialist services
handle routine extraction while the 9B vLLM model is preserved for
semantic adjudication of ambiguous cases.

Key components:
- Capability-aware inference gateway (OpenAI-compatible + Ollama)
- Endpoint registry with DB migrations and REST API
- Sentence-aware document segmenter (property tests)
- Deterministic financial parsing with offset integrity
- Symbol resolution with ambiguity detection
- Specialist service (GLiNER2, dynamic batching, K8s deployment)
- Company-specific sentiment (FinBERT, calibration)
- Retrieval-based novelty and duplicate detection
- Confidence calibration pipeline
- Deterministic routing engine (property tests)
- 9B adjudication layer with VRAM gating
- Stock-specific impact model (features, labels, baseline, trained)
- Pipeline orchestrator (state machine, queues, leases, feature flags)
- Bounded parallelism (async workers, semaphore, load shedding)
- Observability (tracing, metrics, alerts)
- Compatibility adapter (v3→v2 golden mapping tests)
- Shadow/canary promotion framework
- Active learning and fine-tuning pipeline

Test results: 1,161 tests pass, ruff lint clean.
All 282 spec tasks completed.

services/intelligence_pipeline_v3/verification/__init__.py

@@ -0,0 +1,53 @@
+"""Evidence verification and grounding for Intelligence Pipeline v3.
+
+This package provides:
+- Offset, entity association, and numeric consistency verification
+- Rejected-candidate storage with structured reason codes
+- A compact entailment verifier scaffold (keyword-overlap baseline)
+- Evidence coverage and unsupported-claim metrics
+- Aggregated verification metrics for dashboards and promotion gates
+"""
+
+from services.intelligence_pipeline_v3.verification.coverage import (
+    CoverageMetrics,
+    FieldEvidence,
+    compute_coverage,
+)
+from services.intelligence_pipeline_v3.verification.entailment import (
+    EntailmentResult,
+    EntailmentVerifier,
+)
+from services.intelligence_pipeline_v3.verification.metrics import (
+    VerificationMetrics,
+    compute_verification_metrics,
+)
+from services.intelligence_pipeline_v3.verification.models import (
+    AssociationVerification,
+    NumericVerification,
+    OffsetVerification,
+    RejectedCandidate,
+    RejectionReason,
+    VerificationReport,
+)
+from services.intelligence_pipeline_v3.verification.rejected_store import (
+    RejectedCandidateStore,
+)
+from services.intelligence_pipeline_v3.verification.verifier import EvidenceVerifier
+
+__all__ = [
+    "AssociationVerification",
+    "CoverageMetrics",
+    "EntailmentResult",
+    "EntailmentVerifier",
+    "EvidenceVerifier",
+    "FieldEvidence",
+    "NumericVerification",
+    "OffsetVerification",
+    "RejectedCandidate",
+    "RejectedCandidateStore",
+    "RejectionReason",
+    "VerificationMetrics",
+    "VerificationReport",
+    "compute_coverage",
+    "compute_verification_metrics",
+]