No existing agent benchmark protocol replays a fixed temporal change across varied persistent user states while measuring cross-component failure propagation, creating a concrete design gap for personal-agent evaluation.
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Toward User-Conditioned Evaluation of Personal LLM Agents under Temporal Interventions
No existing agent benchmark protocol replays a fixed temporal change across varied persistent user states while measuring cross-component failure propagation, creating a concrete design gap for personal-agent evaluation.