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The literature reveals a surprising imbalance: while always-on agents excel at accumulating state, they largely neglect essential governance and recovery mechanisms.
Automatic attribution metrics for LLMs can flip rankings across datasets, leading to misleading evaluations that could cost researchers dearly in decision-making.
