Study introduces A-R space framework measuring Action Rate and Refusal Signal to assess LLM agent behavior at execution level rather than just task success
Tests models across four normative regimes (Control, Gray, Dilemma, Malicious) and three autonomy configurations (direct execution, planning, reflection)
Reveals how execution and refusal patterns shift based on contextual framing and autonomy scaffold depth, moving beyond simple aggregate safety scores
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