AI RESEARCH
Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought
arXiv CS.AI
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ArXi:2605.14866v1 Announce Type: cross As modern microservice systems grow increasingly complex due to dynamic interactions and evolving runtime environments, they experience failures with rising frequency. Ensuring system reliability therefore critically depends on accurate root cause localization (RCL). While numerous traditional machine learning and deep learning approaches have been explored for this task, they often suffer from limited interpretability and poor transferability across deployments.