Andrew Zhang

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.

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