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#small language model Preprint Sep 2026

EviRCA: Decoupling Evidence Extraction from Reasoning for Microservice Root-Cause Analysis

EviRCA is presented, a framework for LLM-based RCA that decouples deterministic evidence extraction from LLM reasoning and substantially outperforms prior OpenRCA baselines that achieve up to 15.2%, while reducing token consumption by 15-26x and execution time by 3-20x.

Yu-Hao Wang, Zhen Qin, Xing-Liang Wang et al. · 0 citations

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