This release adds 1 notable feature for engineering teams evaluating rollout.
✓ No known CVEs patched in this version
Summary
AI summaryFixes mean‑centered etalon classification, hides retrieval/embedding tools with index_all(with_embeddings=true), and adds external derived_from provenance handling.
Changes in this release
| Type | Severity | Summary | CVE |
|---|---|---|---|
| Feature | Low |
Adds derived_from provenance handling outside strict hierarchy/cycle validation. Adds derived_from provenance handling outside strict hierarchy/cycle validation. Source: llm_adapter@2026-05-29 Confidence: high |
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| Bugfix | Medium |
Fixes mean-centered etalon classification calculation. Fixes mean-centered etalon classification calculation. Source: llm_adapter@2026-05-29 Confidence: low |
— |
| Bugfix | Low |
Fixes mean-centered etalon classification by centering candidate notes against the raw etalon centroid. Fixes mean-centered etalon classification by centering candidate notes against the raw etalon centroid. Source: granite4.1:30b@2026-05-29-audit Confidence: low |
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| Refactor | Low |
Keeps LUCA graph-only by hiding retrieval/embedding tools and rejecting index_all(with_embeddings=true). Keeps LUCA graph-only by hiding retrieval/embedding tools and rejecting index_all(with_embeddings=true). Source: llm_adapter@2026-05-29 Confidence: high |
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Full changelog
Fixes mean-centered etalon classification by centering candidate notes against the raw etalon centroid. Keeps LUCA graph-only by hiding retrieval/embedding tools and rejecting index_all(with_embeddings=true). Adds derived_from provenance handling outside strict hierarchy/cycle validation.
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About KVANTRA-dev/NOUZ-MCP
Semantic knowledge graph for Obsidian. Three modes (pure graph / semantic classification / strict hierarchy)
Related context
Beta — feedback welcome: [email protected]