Root Cause Analysis
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Related Articles from SNS
StableRCA: Robust Graph-Agnostic Mechanism-Level Root Cause Analysis
arXiv:2606.05636v1 Announce Type: new Abstract: Root-Cause Analysis (RCA) seeks to identify the variables responsible for abnormal system behavior in complex domains such as manufacturing, cloud computing, and healthcare. Existing approaches face a critical bottleneck: graph-based causal methods can identify intervention targets but typically require a known or accurately estimated causal graph, while graph-free statistical methods either localize marginal anomalies rather than structural...
Conditional Attribution for Root Cause Analysis in Time-Series Anomaly Detection
arXiv:2604.17616v2 Announce Type: replace Abstract: Root cause analysis (RCA) for time-series anomaly detection is critical for the reliable operation of complex real-world systems. Existing explanation methods often rely on unrealistic feature perturbations and ignore temporal and cross-feature dependencies, leading to unreliable attributions. We propose a conditional attribution framework that explains anomalies relative to contextually similar normal system states.
Auditable Graph-Guided Root Cause Analysis for Kubernetes Incidents
Announce Type: new Abstract: Kubernetes incidents are diagnosed reliably only when a root-cause system's reported gains come from incident evidence rather than scenario-specific shortcuts. We present Graph Traversal Agent, a graph-guided RCA agent that combines LLM reasoning with specialized tools. The model reasons over a typed evidence graph, while deterministic graph and tool operations collect evidence, bound the search, and check proposed verdicts.
Automated Root-Cause Subclassification and No-Code Fix Generation for Invalid Bug Reports
arXiv:2605.17561v2 Announce Type: replace Abstract: Issues faced when using software are reported in the form of bug reports. However, many bug reports are invalid, meaning they do not require code changes, and are resolved with a no-code fix. Manually determining the root cause of the invalid bug reports and providing actionable resolutions by the customer support causes a serious waste of resources.
UModel: An Agent-Ready Observability Data Modeling Method at Scale
arXiv:2606.04799v1 Announce Type: new Abstract: When networked system failures occur, automatically performing Root Cause Analysis (RCA) using observability data is critical for ensuring networked system reliability. Recently, LLM-based agents have shown promise for automating this diagnosis process through advanced reasoning and autonomous exploration.
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Formalizing and falsifying causal pathways of rare events
Announce Type: new Abstract: Building on recent formalizations of root cause analysis for rare events (``outliers'') in structural equation models, we propose a formal definition of a causal pathway and discuss its testable implications. We identify conditions under which these implications depend only on a causal abstraction defined by the pathway of rare events, rather than on the full causal graph of the underlying system.
PECKER: A Precisely Efficient Critical Knowledge Erasure Recipe For Machine Unlearning in Diffusion Models
Announce Type: replace Abstract: Machine unlearning (MU) has become a critical technique for GenAI models' safe and compliant operation. While existing MU methods are effective, most impose prohibitive training time and computational overhead. Our analysis suggests the root cause lies in poorly directed gradient updates, which reduce training efficiency and destabilize convergence.
More than 1,300 deaths a month in England due to long A&E waits, figures suggest
Senior medical staff call for solutions to tackle root causes of excess deaths amid tenfold increase in a decadeMore than 1,300 patients a month in England are dying needlessly due to long A&E waits, a tenfold rise in a decade, figures suggest. There were more than 300 deaths linked to long waits every week in 2025, up from 30 a week in 2015, according to analysis by the Royal College of Emergency Medicine.
More than 1,300 deaths a month in England due to long A&E waits, figures suggest
Senior medical staff call for solutions to tackle root causes of excess deaths amid tenfold increase in a decadeMore than 1,300 patients a month in England are dying needlessly due to long A&E waits, a tenfold rise in a decade, figures suggest. There were more than 300 deaths linked to long waits every week in 2025, up from 30 a week in 2015, according to analysis by the Royal College of Emergency Medicine.