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/adjudication/__init__.py

@@ -0,0 +1,60 @@
+"""Adjudication layer for Intelligence Pipeline v3.
+
+This package provides:
+- Schemas for adjudication candidates, conflicts, evidence, questions, and decisions
+- Focused adjudication prompt building with strict JSON Schema output
+- 9B adjudicator deployment configuration and VRAM gating
+- Post-adjudication verification ensuring evidence grounding
+"""
+
+from services.intelligence_pipeline_v3.adjudication.deployment import (
+    APPROVED_MODEL,
+    APPROVED_VLLM_VERSION,
+    AlertConfig,
+    ConcurrencySemaphore,
+    check_vram_gate,
+    verify_structured_output,
+)
+from services.intelligence_pipeline_v3.adjudication.prompts import (
+    AdjudicationPacket,
+    PromptMetadata,
+    build_adjudication_packet,
+)
+from services.intelligence_pipeline_v3.adjudication.schemas import (
+    AdjudicationCandidate,
+    AdjudicationDecision,
+    AdjudicationQuestion,
+    ConflictDescription,
+    EvidencePacket,
+)
+from services.intelligence_pipeline_v3.adjudication.verification import (
+    AdjudicationRecord,
+    RejectionResult,
+    preserve_pre_and_post,
+    reject_unsupported_decisions,
+    route_repeated_failures,
+    verify_evidence_references,
+)
+
+__all__ = [
+    "APPROVED_MODEL",
+    "APPROVED_VLLM_VERSION",
+    "AdjudicationCandidate",
+    "AdjudicationDecision",
+    "AdjudicationPacket",
+    "AdjudicationQuestion",
+    "AdjudicationRecord",
+    "AlertConfig",
+    "ConcurrencySemaphore",
+    "ConflictDescription",
+    "EvidencePacket",
+    "PromptMetadata",
+    "RejectionResult",
+    "build_adjudication_packet",
+    "check_vram_gate",
+    "preserve_pre_and_post",
+    "reject_unsupported_decisions",
+    "route_repeated_failures",
+    "verify_evidence_references",
+    "verify_structured_output",
+]