AI RESEARCH
CausalFlow: Causal Attribution and Counterfactual Repair for LLM Agent Failures
arXiv CS.AI
•
ArXi:2605.25338v1 Announce Type: cross Large language model (LLM) agents frequently fail on multi-step tasks involving reasoning, tool use, and environment interaction. While such failures are typically logged or retried heuristically, they contain structured signals about where execution broke down. We