Time series anomaly detection (TSAD) plays a pivotal role in domains ranging from industrial automation to IT operations and healthcare monitoring. Despite significant advances in point-wise outlier detection, real anomalies are often not obvious spikes. Instead, they frequently manifest as mechanism shifts, subtle cha...
Hang Cui, Ze-Xin Wang, Changhua Pei et al.· Proceedings of the 32nd ACM...· 0 citations
DUOTRACE follows a detect-before-attribute paradigm: it first detects anomalous executions and then supplies focused trajectory evidence to downstream LLM-based attribution methods, which improves agent-level and step-level attribution accuracy.
Jia-Yi Zhang, Ze-Xin Wang, DecisionMakingRon Sun et al.· 0 citations
This work introduces LongRCA Bench, comprising 1,140 failed trajectories across five domains without injected errors, and presents Root-Cause Trajectory Attribution (RCTA), a training-free method that retrieves candidate error steps from segment summaries and traces them to available earlier handoff instructions.
Yunfei Zhang, Boyu Feng, Changhua Pei et al.· 1 citation
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