Framework measures structural stability in intelligent systems, suggesting early detection of potential failures.
The Unified Annotation Schema (UAS), or the Mentim Ontology, is our core framework designed to measure the structural stability of intelligent systems. Unlike standard evaluations that assess model outputs, the UAS evaluates how representational structure persists and shifts across contexts. By applying a standardized annotation language to model trajectories, early signals of structural degradation can be identified before they surface as behavioral failures. This summary outlines the three primary layers of the ontology: Structural Stability, Contextual Persistence, and Trajectory-Level Recovery.
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Mentim (2026) studied this question.
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