Implement Semantic Consolidator V0
- add deterministic canonicalization support for extraction items - add facts-only semantic consolidation using local Ollama - preserve source evidence and validate complete fact coverage - add conservative merge rules and non-LLM tests - record the first validated real-life consolidation benchmark - document current scope, limitations and next evaluation step
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The next planned architecture stage before this representation is explicit:
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- The Deterministic Canonicalizer validates and normalizes extraction objects,
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assigns stable source references and IDs, performs only safe deterministic
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cleanup and preserves all source evidence. It uses no LLM and must not make
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uncertain semantic merges.
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- The Semantic Consolidator uses the local LLM to merge semantically equivalent
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statements, group content by topic, preserve evidence from all contributing
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chunks, mark contradictions and uncertainty, separate durable information from
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transient discussion and produce Canonical Meeting Knowledge. It does not
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directly write a protocol.
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- Canonicalizer V1 validates and normalizes extraction objects, assigns stable
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source references and IDs, performs only safe deterministic cleanup and
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preserves all source evidence. It uses no LLM and must not make uncertain
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semantic merges.
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- Semantic Consolidator V0 uses the local LLM only for facts-only semantic
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duplicate detection. It preserves source evidence and does not directly write
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a protocol or produce Canonical Meeting Knowledge.
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- Future Semantic Consolidator versions should group content by topic, mark
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contradictions and uncertainty, separate durable information from transient
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discussion and prepare Canonical Meeting Knowledge.
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## Renderers
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