Agentic Root Cause Analysis through Evidence-Grounded Reasoning

Diagnosing the root cause of anomalies is essential for safe industrial operation. Despite extensive sensor instrumentation, formulating hypotheses and gathering evidence remains a manual process, creating a major operational bottleneck. While existing data-driven approaches aim to automate this, two critical limitations restrict their deployment: their operate as black boxes unable to justify their diagnosis, and they require scarce labeled examples of faulty operation. To address this gap, we

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ethics.ai (24 July 2026), “Agentic Root Cause Analysis through Evidence-Grounded Reasoning,” evidence record 13697, https://ethics.ai/record/13697 (originally published by arXiv cs.AI).

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