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arXiv AI By Egor Pakhomov, Erik Nijkamp

Attributing Agent Failures to Their History Needs an Executed Counterfactual: Toward a Reporting Standard

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The paper proposes a new reporting standard for attributing agent failures to their history, insisting on intervention‑verified evidence rather than post‑hoc taxonomies. It outlines a method to freeze an executable mid‑trajectory state, alter only the agent’s perceived history, and continue execution to obtain a measured replay certificate. The authors review existing manipulation classes and highlight that while several methods perform interventions, none currently report a quantified replay certificate, and they provide two cautionary examples illustrating the pitfalls of lacking such verification.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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