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Jul 2026

Chain-Aware Encoding for Microservice Trace Anomaly Detection

This work instantiates CHAINLSTM, a lightweight dual-task LSTM supporting per-event online detection and shows that chain-aware encoding shifts median prediction probability on path anomalies from 0.91 to 0.002, suggesting a wider separation margin for threshold-based detection.

Yi-Liu Xu, Ziwei Hong, Zhongheng Yang et al. · 4 citations

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