AINeutralarXiv – CS AI · 8h ago6/10
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Root Cause Analysis with Latent Confounders using Partial Ancestral Graphs
Researchers introduce PAG-RCA, a framework for root cause analysis in complex systems that accounts for unobserved latent variables using Partial Ancestral Graphs. The methodology combines causal identification with partial identification bounds to diagnose system failures reliably even when data is scarce or incomplete, outperforming existing approaches on synthetic and real-world infrastructure benchmarks.