juhar1github/Awesome-causal-time-series-anomaly-detection

A curated collection of causality-based time-series anomaly detection and root-cause analysis papers with official code, datasets, and benchmarks

Python

12 commits

updated Jul 29, 2026

See the code

README

Awesome Causal Time-Series Anomaly Detection

A curated collection of papers, official implementations, libraries, datasets, and benchmarks for causality-based time-series anomaly detection and root-cause analysis.

Scope

This collection includes work where causality is central to at least one of the following:

Anomaly scoring or detection
Granger-causal or structural-causal graph discovery
Root-cause localization or intervention recognition
Causality-aware representation learning
Causal benchmarks for multivariate time series

The main list prioritizes official author repositories. A blank code cell means that no verified public implementation was located.

Papers

Year	Method	Paper	Venue	Paper link	Code link	Main causal idea
2026	CGT	Causally-Constrained Probabilistic Forecasting for Time-Series Anomaly Detection	arXiv	Paper	Code	Time-lagged causal graph masks a probabilistic forecasting model
2026	CAAD	CAAD: Causality-Aware Multivariate Time Series Anomaly Detection via Multi-Scale Alignment and Structural Causal Consistency	arXiv	Paper		Continuous verification of Granger-causal consistency
2025	AERCA	Root Cause Analysis of Anomalies in Multivariate Time Series through Granger Causal Discovery	ICLR	Paper	Code	Joint Granger causal discovery and intervention-based root-cause scoring
2025	CAROTS	Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection	ICML	Paper	Code	Causality-aware contrastive representation learning
2025	causRCA	causRCA Dataset and Benchmarking Framework	Dataset and benchmark	Not available	Code	Ground-truth causal structures and fault scenarios
2025	CGAD	Entropy Causal Graphs for Multivariate Time Series Anomaly Detection	ACM TIST	Paper	Code	Transfer-entropy causal graph with graph and temporal convolutions
2025	RCAEval	RCAEval: A Benchmark for Root Cause Analysis of Microservice Systems with Telemetry Data	The Web Conference	Paper	Code	Includes reproducible causal and graph-based RCA baselines
2025	GCAD	GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality	arXiv	Paper		Dynamic gradient-based Granger-causality discovery
2025	OracleAD	Structured Temporal Causality for Interpretable Multivariate Time-Series Anomaly Detection	arXiv	Paper		Structured temporal causal modeling
2024	RUN	Root Cause Analysis in Microservice Using Neural Granger Causal Discovery	AAAI	Paper	Code	Contrastive temporal encoder plus neural Granger discovery and personalized PageRank
2023	EasyRCA	Root Cause Identification for Collective Anomalies in Time Series given an Acyclic Summary Causal Graph with Loops	AISTATS	Paper	Code	Causal graph, anomaly timing, d-separation, and direct-effect changes
2023	PyRCA	PyRCA: A Library for Metric-based Root Cause Analysis	arXiv / open-source library	Paper	Code	Unified causal-graph construction and graph-based RCA methods
2023	CausalAD	A Causal Approach to Detecting Multivariate Time-Series Anomalies and Root Causes	ICLR	Paper		Detects violations of local causal mechanisms
2022	CIRCA	Causal Inference-Based Root Cause Analysis for Online Service Systems with Intervention Recognition	KDD	Paper	Code	Recognizes interventions through changes in conditional mechanisms

Important copyright and license rule

This repository links to external implementations. It does not copy or redistribute another author's code.

Before reusing an implementation:

Read the original repository's license
Preserve required copyright and license notices
Cite the associated paper
Mark unofficial implementations clearly
Do not redistribute code that has no reuse license

Search keywords

causal time-series anomaly detection, multivariate time-series anomaly detection, Granger causality, causal discovery, structural causal model, root-cause analysis, intervention recognition, causal graph, AIOps, industrial monitoring

Disclaimer

Metadata can change when preprints are accepted or repositories are released. Verify paper versions, venues, and licenses before reuse.

Contributors

juhar1github

12 commits

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juhar1github/Awesome-causal-time-series-anomaly-detection

A curated collection of causality-based time-series anomaly detection and root-cause analysis papers with official code, datasets, and benchmarks

Python

12 commits

updated Jul 29, 2026

See the code

README

Awesome Causal Time-Series Anomaly Detection

A curated collection of papers, official implementations, libraries, datasets, and benchmarks for causality-based time-series anomaly detection and root-cause analysis.

Scope

This collection includes work where causality is central to at least one of the following:

Anomaly scoring or detection
Granger-causal or structural-causal graph discovery
Root-cause localization or intervention recognition
Causality-aware representation learning
Causal benchmarks for multivariate time series

The main list prioritizes official author repositories. A blank code cell means that no verified public implementation was located.

Papers

Year	Method	Paper	Venue	Paper link	Code link	Main causal idea
2026	CGT	Causally-Constrained Probabilistic Forecasting for Time-Series Anomaly Detection	arXiv	Paper	Code	Time-lagged causal graph masks a probabilistic forecasting model
2026	CAAD	CAAD: Causality-Aware Multivariate Time Series Anomaly Detection via Multi-Scale Alignment and Structural Causal Consistency	arXiv	Paper		Continuous verification of Granger-causal consistency
2025	AERCA	Root Cause Analysis of Anomalies in Multivariate Time Series through Granger Causal Discovery	ICLR	Paper	Code	Joint Granger causal discovery and intervention-based root-cause scoring
2025	CAROTS	Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection	ICML	Paper	Code	Causality-aware contrastive representation learning
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2025	CGAD	Entropy Causal Graphs for Multivariate Time Series Anomaly Detection	ACM TIST	Paper	Code	Transfer-entropy causal graph with graph and temporal convolutions
2025	RCAEval	RCAEval: A Benchmark for Root Cause Analysis of Microservice Systems with Telemetry Data	The Web Conference	Paper	Code	Includes reproducible causal and graph-based RCA baselines
2025	GCAD	GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality	arXiv	Paper		Dynamic gradient-based Granger-causality discovery
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2024	RUN	Root Cause Analysis in Microservice Using Neural Granger Causal Discovery	AAAI	Paper	Code	Contrastive temporal encoder plus neural Granger discovery and personalized PageRank
2023	EasyRCA	Root Cause Identification for Collective Anomalies in Time Series given an Acyclic Summary Causal Graph with Loops	AISTATS	Paper	Code	Causal graph, anomaly timing, d-separation, and direct-effect changes
2023	PyRCA	PyRCA: A Library for Metric-based Root Cause Analysis	arXiv / open-source library	Paper	Code	Unified causal-graph construction and graph-based RCA methods
2023	CausalAD	A Causal Approach to Detecting Multivariate Time-Series Anomalies and Root Causes	ICLR	Paper		Detects violations of local causal mechanisms
2022	CIRCA	Causal Inference-Based Root Cause Analysis for Online Service Systems with Intervention Recognition	KDD	Paper	Code	Recognizes interventions through changes in conditional mechanisms

Important copyright and license rule

This repository links to external implementations. It does not copy or redistribute another author's code.

Before reusing an implementation:

Read the original repository's license
Preserve required copyright and license notices
Cite the associated paper
Mark unofficial implementations clearly
Do not redistribute code that has no reuse license

Search keywords

Disclaimer

Metadata can change when preprints are accepted or repositories are released. Verify paper versions, venues, and licenses before reuse.

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Contributors

juhar1github

12 commits

Languages

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100.0%