Preprint / scholarly article

Counterfactually Auditable Lifecycle Certification for Autonomous Agents

K. Takahashi

Published
DOI
10.5281/zenodo.19089134

Full text PDF (Zenodo)

Abstract

This preprint develops a conservative lifecycle-certification framework for autonomous agents under finite routing, monitoring, and deployment budgets. It formalizes counterfactually auditable admission, retirement, monitoring, and deployment rules using direct move inference, replay support, and anytime-valid sentinel monitoring.

Keywords

  • autonomous agents
  • AI agent
  • lifecycle certification
  • counterfactual auditability
  • direct move inference
  • adaptive sentinel monitoring
  • e-process
  • anytime-valid inference
  • forecast transport
  • budget-feasible deployment
  • off-policy evaluation
  • causal inference
  • tool-use agents
  • agent lifecycle management
  • interface stock

Identifiers and source records