New Control-Theoretic Framework Proposed for Overseeing Long-Horizon AI Agent Behavior
A new arXiv paper introduces a control-theoretic oversight framework addressing how AI agents can pass individual task checks while retaining memory or code changes that alter later behavior across long-horizon trajectories and maintained deployments.
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