Classification

Evidentiary Hierarchy of Transition Checks

StateM organizes state transition checks into distinct tiers based on evidentiary strength to prevent unverified self-attestations from being mistaken for deterministic proof:

  1. Command and Predicate Checks: Evaluated directly by the host runtime to provide independently reproducible evidence (subject to the correctness of the command or predicate).
  2. Manual Checks: Require an explicit operational decision or authorization from a human user or operator.
  3. Checklist and Message Checks: Require the agent to acknowledge specified contractual obligations; these serve as structured self-attestations rather than independent verification.
  4. LLM Review Checks (llm_review): Incorporate semantic judgment via an external model call, offering flexible heuristic review without deterministic verification guarantees.

This hierarchy ensures that model receipts and structured declarations are kept visible and auditable, while recognizing that their evidentiary weight depends on the mechanism that evaluates them.

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Updated 2026-09-29

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Prep Sessions

Engineering State-Bound Execution Runtimes for Autonomous Agents @ University of Michigan - Ann Arbor

Ch.2 Agent Runtime Design and Execution Framework - Engineering State-Bound Execution Runtimes for Autonomous Agents @ University of Michigan - Ann Arbor

StateM Agent-Native Runtime Architecture - Engineering State-Bound Execution Runtimes for Autonomous Agents @ University of Michigan - Ann Arbor

Context and Contract Boundaries in Phase Execution - Engineering State-Bound Execution Runtimes for Autonomous Agents @ University of Michigan - Ann Arbor

Autonomous Agent Control Planes: State Scaffolding and Resilient Execution @ University of Michigan - Ann Arbor

Ch.1 Execution Lifecycle and State Boundaries - Autonomous Agent Control Planes: State Scaffolding and Resilient Execution @ University of Michigan - Ann Arbor

States as Context-and-Contract Boundaries - Autonomous Agent Control Planes: State Scaffolding and Resilient Execution @ University of Michigan - Ann Arbor

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