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/resolution/__init__.py

@@ -0,0 +1,40 @@
+"""Symbol resolution package for Intelligence Pipeline v3.
+
+Resolves company mentions in documents to canonical identifiers using the
+symbol registry, supporting alias matching, ambiguity detection, and
+separation of explicit mentions from inferred exposures.
+"""
+
+from services.intelligence_pipeline_v3.resolution.alias_index import (
+    AliasIndex,
+    build_alias_index,
+)
+from services.intelligence_pipeline_v3.resolution.explicit_vs_inferred import (
+    ClassifiedMentionType,
+    classify_mention,
+    to_mention_type,
+)
+from services.intelligence_pipeline_v3.resolution.models import (
+    MatchType,
+    MentionType,
+    ResolutionCandidate,
+    ResolutionResult,
+    UnresolvedMention,
+    UnresolvedReason,
+)
+from services.intelligence_pipeline_v3.resolution.symbol_resolver import SymbolResolver
+
+__all__ = [
+    "AliasIndex",
+    "ClassifiedMentionType",
+    "MatchType",
+    "MentionType",
+    "ResolutionCandidate",
+    "ResolutionResult",
+    "SymbolResolver",
+    "UnresolvedMention",
+    "UnresolvedReason",
+    "build_alias_index",
+    "classify_mention",
+    "to_mention_type",
+]