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.
· arXiv.org · 4 citations