feat(crypto): Complete Phase 2 - Configuration-driven crypto architecture with 100% compliance
## Summary
This commit completes Phase 2 of the configuration-driven crypto architecture, achieving
100% crypto compliance by eliminating all hardcoded cryptographic implementations.
## Key Changes
### Phase 1: Plugin Loader Infrastructure
- **Plugin Discovery System**: Created StellaOps.Cryptography.PluginLoader with manifest-based loading
- **Configuration Model**: Added CryptoPluginConfiguration with regional profiles support
- **Dependency Injection**: Extended DI to support plugin-based crypto provider registration
- **Regional Configs**: Created appsettings.crypto.{international,russia,eu,china}.yaml
- **CI Workflow**: Added .gitea/workflows/crypto-compliance.yml for audit enforcement
### Phase 2: Code Refactoring
- **API Extension**: Added ICryptoProvider.CreateEphemeralVerifier for verification-only scenarios
- **Plugin Implementation**: Created OfflineVerificationCryptoProvider with ephemeral verifier support
- Supports ES256/384/512, RS256/384/512, PS256/384/512
- SubjectPublicKeyInfo (SPKI) public key format
- **100% Compliance**: Refactored DsseVerifier to remove all BouncyCastle cryptographic usage
- **Unit Tests**: Created OfflineVerificationProviderTests with 39 passing tests
- **Documentation**: Created comprehensive security guide at docs/security/offline-verification-crypto-provider.md
- **Audit Infrastructure**: Created scripts/audit-crypto-usage.ps1 for static analysis
### Testing Infrastructure (TestKit)
- **Determinism Gate**: Created DeterminismGate for reproducibility validation
- **Test Fixtures**: Added PostgresFixture and ValkeyFixture using Testcontainers
- **Traits System**: Implemented test lane attributes for parallel CI execution
- **JSON Assertions**: Added CanonicalJsonAssert for deterministic JSON comparisons
- **Test Lanes**: Created test-lanes.yml workflow for parallel test execution
### Documentation
- **Architecture**: Created CRYPTO_CONFIGURATION_DRIVEN_ARCHITECTURE.md master plan
- **Sprint Tracking**: Created SPRINT_1000_0007_0002_crypto_refactoring.md (COMPLETE)
- **API Documentation**: Updated docs2/cli/crypto-plugins.md and crypto.md
- **Testing Strategy**: Created testing strategy documents in docs/implplan/SPRINT_5100_0007_*
## Compliance & Testing
- ✅ Zero direct System.Security.Cryptography usage in production code
- ✅ All crypto operations go through ICryptoProvider abstraction
- ✅ 39/39 unit tests passing for OfflineVerificationCryptoProvider
- ✅ Build successful (AirGap, Crypto plugin, DI infrastructure)
- ✅ Audit script validates crypto boundaries
## Files Modified
**Core Crypto Infrastructure:**
- src/__Libraries/StellaOps.Cryptography/CryptoProvider.cs (API extension)
- src/__Libraries/StellaOps.Cryptography/CryptoSigningKey.cs (verification-only constructor)
- src/__Libraries/StellaOps.Cryptography/EcdsaSigner.cs (fixed ephemeral verifier)
**Plugin Implementation:**
- src/__Libraries/StellaOps.Cryptography.Plugin.OfflineVerification/ (new)
- src/__Libraries/StellaOps.Cryptography.PluginLoader/ (new)
**Production Code Refactoring:**
- src/AirGap/StellaOps.AirGap.Importer/Validation/DsseVerifier.cs (100% compliant)
**Tests:**
- src/__Libraries/__Tests/StellaOps.Cryptography.Plugin.OfflineVerification.Tests/ (new, 39 tests)
- src/__Libraries/__Tests/StellaOps.Cryptography.PluginLoader.Tests/ (new)
**Configuration:**
- etc/crypto-plugins-manifest.json (plugin registry)
- etc/appsettings.crypto.*.yaml (regional profiles)
**Documentation:**
- docs/security/offline-verification-crypto-provider.md (600+ lines)
- docs/implplan/CRYPTO_CONFIGURATION_DRIVEN_ARCHITECTURE.md (master plan)
- docs/implplan/SPRINT_1000_0007_0002_crypto_refactoring.md (Phase 2 complete)
## Next Steps
Phase 3: Docker & CI/CD Integration
- Create multi-stage Dockerfiles with all plugins
- Build regional Docker Compose files
- Implement runtime configuration selection
- Add deployment validation scripts
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
This commit is contained in:
48
docs2/signals/callgraph-schema.md
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docs2/signals/callgraph-schema.md
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# Callgraph schema (stella.callgraph.v1)
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Purpose
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- Represent static and runtime call graphs for reachability.
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- Preserve provenance, entrypoints, and explainable edge reasons.
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Top-level fields
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- schema: fixed string stella.callgraph.v1.
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- nodes: symbol nodes with ids, names, and metadata.
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- edges: call edges between nodes.
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- entrypoints: entry nodes and routes.
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- artifacts: optional artifacts list for mapping nodes to binaries.
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- metadata: graph-level info (language, component, version, ingestedAt).
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- graphHash: sha256 of canonical content for deduplication.
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Core enumerations (examples)
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- Language: DotNet, Java, Node, Python, Go, Rust, Binary.
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- EdgeKind: static, heuristic, runtime.
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- EdgeReason: directCall, virtualCall, reflectionString, dynamicImport, runtimeMinted.
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- EntrypointKind: http, grpc, cli, job, event, timer, main.
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Node shape (key fields)
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- id, name, kind, namespace, file, line.
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- symbolKey: canonical signature for the symbol.
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- visibility: public, internal, protected, private.
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- isEntrypointCandidate: boolean.
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- attributes: extra metadata such as http method and route.
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Edge shape (key fields)
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- sourceId, targetId.
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- kind, reason, weight, isResolved.
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- candidates for unresolved dynamic dispatch.
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Determinism rules
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- Sort nodes by id, edges by sourceId then targetId, entrypoints by order.
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- Enums serialize as camelCase strings.
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- Timestamps use UTC ISO-8601.
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- graphHash uses SHA-256 over canonical JSON.
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Validation rules
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- Node ids are unique.
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- Edge endpoints reference existing nodes.
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- Entrypoint nodeIds reference existing nodes.
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- Edge weights are within 0.0 to 1.0.
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Related references
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- docs/signals/callgraph-formats.md
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- docs/reachability/README.md
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docs2/signals/contract-mapping.md
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docs2/signals/contract-mapping.md
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# Signal contract mapping
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StellaOps implements advisory signal contracts using domain-specific models.
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The signals align to five core concepts:
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Mapping summary
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| Advisory signal | StellaOps equivalent | Purpose |
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| --- | --- | --- |
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| Signal-10 (SBOM intake) | SBOM ingestion + callgraph ingest | Normalize SBOMs and call graphs with tenant and source metadata. |
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| Signal-12 (Evidence) | in-toto statements + DSSE envelopes | Signed attestations and evidence bundles. |
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| Signal-14 (Triage fact) | Triage finding, reachability, risk, and VEX entities | Aggregated facts for a vuln and component. |
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| Signal-16 (Diff delta) | Triage snapshot + smart-diff + drift causes | Deterministic change detection between runs. |
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| Signal-18 (Decision) | Triage decision + policy decision attestation | Final decision with rationale and signatures. |
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Evidence references
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- DSSE envelopes are addressed by sha256 of the envelope payload.
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- CAS URIs reference content-addressed evidence blobs (graphs, traces).
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Idempotency
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- Event envelopes include explicit idempotency keys.
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- Findings use stable identifiers derived from CVE and subject context.
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API surface alignment
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- SBOM ingest endpoints map to scanner and signals ingest.
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- Decision and diff endpoints map to triage and smart-diff APIs.
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Key equivalence guarantees
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- Subject digests and PURLs are preserved across ingestion and triage.
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- Reachability and VEX evidence is attached to findings, not rewritten.
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- Decisions carry rationale and policy references suitable for audit.
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Related references
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- docs/architecture/signal-contract-mapping.md
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- docs/07_HIGH_LEVEL_ARCHITECTURE.md
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docs2/signals/uncertainty.md
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docs2/signals/uncertainty.md
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# Uncertainty and entropy
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Uncertainty captures missing or untrusted evidence as first-class signals.
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It prevents silent false negatives and feeds risk scoring and policy gates.
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Core states (examples)
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- U1: MissingSymbolResolution
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- U2: MissingPurl
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- U3: UntrustedAdvisory
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- U4: Unknown (no analysis yet)
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Tiers and scoring
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- Tiers group states by entropy ranges.
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- The aggregate tier is the maximum severity present.
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- Risk score adds an entropy-based modifier.
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Policy guidance
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- High uncertainty blocks not_affected claims.
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- Lower tiers allow decisions with caveats.
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- Remediation hints are attached to findings.
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Determinism rules
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- Stable ordering of uncertainty states.
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- UTC timestamps and fixed precision for entropy values.
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- Canonical JSON for hashing and replay.
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Related references
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- docs/uncertainty/README.md
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- docs/reachability/lattice.md
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- docs/policy/dsl.md
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docs2/signals/unknowns-ranking.md
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docs2/signals/unknowns-ranking.md
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# Unknowns ranking
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Unknowns are prioritized using a deterministic, multi-factor score and
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assigned to triage bands that drive rescan scheduling.
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Scoring formula
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- Score = wP*P + wE*E + wU*U + wC*C + wS*S (clamped to 0.0-1.0).
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- Factors: Popularity (P), Exploit potential (E), Uncertainty density (U),
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Centrality (C), Staleness (S).
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- Default weights: P 0.25, E 0.25, U 0.25, C 0.15, S 0.10.
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Band thresholds
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- HOT: score >= 0.70 (immediate rescan, 15-minute cadence).
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- WARM: 0.40 <= score < 0.70 (scheduled rescan, 12-72 hours).
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- COLD: score < 0.40 (weekly batch).
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Determinism and replay
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- Each scored unknown stores a normalization trace with raw values,
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normalized values, weights, and computed score.
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- Replaying the trace yields the same score and band.
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Configuration (Signals:UnknownsScoring)
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- WeightPopularity, WeightExploitPotential, WeightUncertainty,
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WeightCentrality, WeightStaleness.
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- HotThreshold, WarmThreshold, HotRescanMinutes, WarmRescanHours,
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ColdRescanDays.
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Related references
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- docs/signals/unknowns-ranking.md
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- docs/signals/unknowns-registry.md
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docs2/signals/unknowns.md
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docs2/signals/unknowns.md
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# Signals and unknowns
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Unknowns are first-class signals that capture gaps in identity, reachability,
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or evidence mapping. They prevent silent false negatives.
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Unknowns registry model
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- Deterministic id based on type, scope, and evidence.
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- Includes provenance, scope, unknown_type, evidence, and status.
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- Stores confidence metrics and exposure hints.
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Producers
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- Scanner: unresolved symbols or missing mappings.
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- Signals: runtime hits without graph linkage.
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- SbomService: conflicting versions or hash mismatches.
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- Policy: undecidable cases due to missing evidence.
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Consumers
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- Risk and reachability scoring uses unknowns pressure.
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- Policy gates can block not_affected when unknowns are high.
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- UI and CLI provide triage and suppression workflows.
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Ranking and triage bands
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- Unknowns are scored using popularity, exploit potential, uncertainty, centrality, and staleness.
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- Bands: hot, warm, cold drive rescan cadence.
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API sketch
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- POST /unknowns/ingest for idempotent upserts.
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- GET /unknowns with filters by artifact and status.
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- POST /unknowns/{id}/triage to update status and labels.
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Storage
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- Append-only store with CAS references for large evidence blobs.
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- Tenant isolation and schema versioning for replay.
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Related references
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- docs/signals/unknowns-registry.md
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- docs/signals/unknowns-ranking.md
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- docs/uncertainty/README.md
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- docs2/signals/uncertainty.md
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- docs2/signals/unknowns-ranking.md
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