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Definition

StateM Per-Run Execution Record

In StateM, each execution maintains an isolated, mutable runtime record that is strictly decoupled from the static, reusable runbook. For every individual run, StateM tracks and persists:

  • A unique run identifier
  • The current active state and current state-entry identifier
  • The complete transition history across states
  • Execution outcomes of all lifecycle hooks and before-transfer checks
  • Event timestamps
  • File references to state-local evidence artifacts

Separating the mutable per-run record from the static control profile ensures that multiple concurrent runs or distinct agents can operate simultaneously under the same runbook without conflating their procedural progress.

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Updated 2026-09-29

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Prep Sessions

Long-Horizon Agent Reliability: Stateful Scaffolding and Runtime Verification @ University of Michigan - Ann Arbor

Ch.3 State Persistence and Continuous Optimization - Long-Horizon Agent Reliability: Stateful Scaffolding and Runtime Verification @ University of Michigan - Ann Arbor

Persistent Run State and Recoverable Execution Protocols - Long-Horizon Agent Reliability: Stateful Scaffolding and Runtime Verification @ University of Michigan - Ann Arbor

Engineering Deterministic Runtimes and Verification for Autonomous Agents @ University of Michigan - Ann Arbor

Ch.2 Runtime Lifecycle and State Management - Engineering Deterministic Runtimes and Verification for Autonomous Agents @ University of Michigan - Ann Arbor

Per-Run State Persistence, Recovery, and Stop Hooks - Engineering Deterministic Runtimes and Verification 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

Runtime Persistence, Recovery, and Stop Hooks - Autonomous Agent Control Planes: State Scaffolding and Resilient Execution @ University of Michigan - Ann Arbor