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The Stake Was Governance Outside the Schema. MICA v0.1.5 Pulled It In
How-ToMachine Learning

The Stake Was Governance Outside the Schema. MICA v0.1.5 Pulled It In

via Dev.toKwansub Yun3h ago

Glossary: terms used in this article 🔸 MICA (Memory Invocation & Context Archive) : A governance schema for AI context management. Defines how context should be structured, trusted, scored, and handed off across sessions. 🔸 Provenance Registry : A structured, hash-anchored record of where each context item came from. Requires uri , sha256 , kind , created_at , and trust_class . Formalized as a required field in v0.1.5. 🔸 Deviation Log : An auditable record of every change to a governed archive. Each entry requires before_hash , after_hash , gate , approved_by , and rollback_ready . Formalized in v0.1.5. 🔸 Semantic Validation Policy : A machine-evaluable rule set applied to context items. Each rule requires id , expression , severity , and on_fail . Replaces string invariants in v0.1.5. 🔸 Semantic Collapse : The pattern in which a JSON Schema specification is applied to an LLM as a runtime contract rather than as a validator. The LLM executes the schema semantically and produces a contr

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