A six-stage neuro-symbolic pipeline compresses production microservice logs enough for an LLM to rank root causes with MRR 0.790 on 11 Huawei incidents under a one-minute SLA.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.IR 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Log-Insight: Automating Microservice Incident Diagnosis via Neuro-Symbolic Log Analysis
A six-stage neuro-symbolic pipeline compresses production microservice logs enough for an LLM to rank root causes with MRR 0.790 on 11 Huawei incidents under a one-minute SLA.