Agentic AI evaluation and governance lack mechanisms to bind obligations to actions and prove compliance at runtime; a new synthesis framework with ODTA criteria and action-evidence bundles addresses this closure gap.
A Trace-Based Assurance Framework for Agentic AI Orchestration: Contracts, Testing, and Governance
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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DEMM defines four executable evidence-sufficiency categories plus a conflicting category for agentic AI decisions and rolls per-property verdicts into a five-level maturity rubric.
citing papers explorer
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Beyond Task Success: An Evidence-Synthesis Framework for Evaluating, Governing, and Orchestrating Agentic AI
Agentic AI evaluation and governance lack mechanisms to bind obligations to actions and prove compliance at runtime; a new synthesis framework with ODTA criteria and action-evidence bundles addresses this closure gap.
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Decision Evidence Maturity Model for Agentic AI: A Property-Level Method Specification
DEMM defines four executable evidence-sufficiency categories plus a conflicting category for agentic AI decisions and rolls per-property verdicts into a five-level maturity rubric.