Same Winners, Different Success Rates: Evaluating How LLM Agents Recover from Failures.

arXiv:2609.34215v1 Announce Type: new Abstract: Evaluating how LLM agents recover from mid-task failures is central to deploying reliable agentic systems. Existing checkpoint-based benchmarks measure recovery by comparing which action is selected as best acros