Author

Chengzhan Li

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Review

Agent Step Value: Probing the Observer Effect in Black-Box Traces

Agent Step Value (ASV), a replay framework that scores before/after states with a state-less LLM evaluator over a fixed candidate set, turns prompt sensitivity into a measured channel effect and localizes the largest rationale-conditioned losses to extraction and audit.

Andrew Zhang, Chengzhan Li · 0 citations

Review

Agent Step Value: State-Transition Measurement with State-Grounded LLM Evaluators

Agent Step Value (ASV), a state-transition measurement framework that scores each observed action by the change it induces in a state-grounded evaluator’s distribution over fixed candidate outcomes, is introduced.

Andrew Zhang, Chengzhan Li · 0 citations