Metrology-Theoretic Epistemics Engine (MTE): Observable-Only Metrology for Long-Horizon Autonomous Intelligence

Abstract

This preprint introduces the Metrology-Theoretic Epistemics Engine (MTE), a machine-checkable epistemic governance layer for no-meta observable-only autonomous intelligence, yielding fail-closed criteria for when claimed progress is scientifically credit-bearing. It formalizes deterministic artifact canonicalization, observability credit gates, equivalence-class collapse rate accounting, dual risk ledgers, and supermartingale-style over-credit control with reproducible replay and destructive test obligations.

Keywords

• metrology-theoretic epistemics engine
• observable-only metrology
• no-meta governance
• autonomous intelligence
• fail-closed certification
• observability credit
• equivalence-class collapse rate
• risk ledgers
• supermartingale controls
• deterministic replay
• scientific reproducibility
• long-horizon AI safety

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