Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data | Paper Citation Record

Observation b5a9ce93-7053-493c-be9b-026bcbeaa92d · outbound

This paper cites Data-driven root-cause fault diagnosis for multivariate non-linear processes,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Data-driven root-cause fault diagnosis for multivariate non-linear processes,

Reference 1

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Observation 95699c50-7f87-4dc6-aafc-36d01f8614b0 · outbound

This paper cites PEN: process estimator neural network for root cause analysis using graph convolution,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data PEN: process estimator neural network for root cause analysis using graph convolution,

Reference 2

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Observation 0f2222b9-dc50-4bb5-bea4-58bdd19b2591 · outbound

This paper cites High-recall causal discovery for autocorrelated time series with latent confounders,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data High-recall causal discovery for autocorrelated time series with latent confounders,

Reference 3

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Observation 386373c2-dabb-4ed3-8463-35a6e1edd3ec · outbound

This paper cites FLAGS: a methodology for adaptive anomaly detection and root cause analysis on sensor data streams by fusing expert knowledge with machine learning,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data FLAGS: a methodology for adaptive anomaly detection and root cause analysis on sensor data streams by fusing expert knowledge with machine learning,

Reference 4

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Observation fb7e0982-c5f8-4e6c-a352-b0e50bd3d845 · outbound

This paper cites Root cause analysis in the industrial domain using knowledge graphs: a case study on power transformers,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Root cause analysis in the industrial domain using knowledge graphs: a case study on power transformers,

Reference 5

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Observation a284ede8-fa03-4981-ba1a-1adf49cf6d95 · outbound

This paper cites Review of causal discovery methods based on graphical models,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Review of causal discovery methods based on graphical models,

Reference 6

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Observation 89a3b29b-293c-454a-9f46-85d709dc09a2 · outbound

This paper cites A survey of learning causality with data: problems and methods,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data A survey of learning causality with data: problems and methods,

Reference 7

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Observation 0969351a-38fe-4df1-8807-74cdb731f160 · outbound

This paper cites Root-cause analysis for time-series anomalies via spatiotemporal graphical modeling in distributed complex systems,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Root-cause analysis for time-series anomalies via spatiotemporal graphical modeling in distributed complex systems,

Reference 8

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Observation e9d6053e-a939-4c32-a45a-4135ac85614f · outbound

This paper cites Mining association rules for anomaly detection in dynamic process runtime behavior and explaining the root cause to users,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Mining association rules for anomaly detection in dynamic process runtime behavior and explaining the root cause to users,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:39.224455Z

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Observation d4e58cf2-b987-445f-a5d1-f0c28c13b06f · outbound

This paper cites Causal network construction based on convergent cross mapping (ccm) for alarm system root cause tracing of nonlinear industrial process,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Causal network construction based on convergent cross mapping (ccm) for alarm system root cause tracing of nonlinear industrial process,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:39.202961Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a0fe1b49-fe14-4b9a-a602-c6c63e189553 · outbound

This paper cites Causal discovery with attention-based convolutional neural networks,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Causal discovery with attention-based convolutional neural networks,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:39.187081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5dc75ffc-36f6-41ce-b4d9-20ad67aacb8b · outbound

This paper cites Root cause diagnosis in multivariate time series based on modified temporal convolution and multi-head self-attention,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Root cause diagnosis in multivariate time series based on modified temporal convolution and multi-head self-attention,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:39.171524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 74c78e35-7333-4711-b08a-fd1c990037aa · outbound

This paper cites Unsupervised deep variational model for multivariate sensor anomaly detection,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Unsupervised deep variational model for multivariate sensor anomaly detection,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:39.155403Z

Source-reported events for the cited work

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Observation 275d5b7e-9353-4575-86d2-a364c2e36254 · outbound

This paper cites Long horizon anomaly prediction in multivariate time series with causal autoencoders,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Long horizon anomaly prediction in multivariate time series with causal autoencoders,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:39.138972Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 967053f2-c3c7-457b-8b01-44fd5e687f2a · outbound

This paper cites Spatio-temporal anomaly detection with graph networks for data quality monitoring of the Hadron Calorimeter,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Spatio-temporal anomaly detection with graph networks for data quality monitoring of the Hadron Calorimeter,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:39.121697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3d19a3e7-6567-4466-b48c-7cd20e0fd6b3 · outbound

This paper cites Data quality monitoring through transfer learning on anomaly detection for the Hadron Calorimeters,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Data quality monitoring through transfer learning on anomaly detection for the Hadron Calorimeters,

Reference 16

Resolution: verified exact; raw_fallback, observed 2026-08-11T14:39:37.814753Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5e275f6c-8c2c-4426-a929-96ff852e2d34 · outbound

This paper cites Anomaly detection using deep autoencoders for the assessment of the quality of the data acquired by the CMS experiment,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Anomaly detection using deep autoencoders for the assessment of the quality of the data acquired by the CMS experiment,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:39.105844Z

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Observation a1ebc748-447a-4909-ba6d-43472f74a5a1 · outbound

This paper cites The model of an anomaly detector for HiLumi LHC magnets based on recurrent neural networks and adaptive quantization,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data The model of an anomaly detector for HiLumi LHC magnets based on recurrent neural networks and adaptive quantization,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:39.090399Z

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Observation ca60080c-4953-452e-8a25-f5b154bcca4a · outbound

This paper cites Autoencoder-based anomaly detection system for online data quality monitoring of the cms electromagnetic calorimeter,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Autoencoder-based anomaly detection system for online data quality monitoring of the cms electromagnetic calorimeter,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:39.072192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f2ed3812-b032-4be0-b5ea-a0c7cce23912 · outbound

This paper cites Framework for inferring empirical causal graphs from binary data to support multidimensional poverty analysis,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Framework for inferring empirical causal graphs from binary data to support multidimensional poverty analysis,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:39.052755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6a150954-02cc-4ca8-ad67-5373247d8b3e · outbound

This paper cites Causal structure-based root cause analysis of outliers,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Causal structure-based root cause analysis of outliers,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:39.029008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7db6a90b-d5ca-48de-b1ca-aec5536aee74 · outbound

This paper cites Causal network reconstruction from time series: from theoretical assumptions to practical estimation,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Causal network reconstruction from time series: from theoretical assumptions to practical estimation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:39.011261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f1886bbc-f910-4264-a753-fdd82ec06911 · outbound

This paper cites Detecting and quantifying causal associations in large nonlinear time series datasets,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Detecting and quantifying causal associations in large nonlinear time series datasets,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:38.992987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b4a5e9a8-3046-4bb8-ade6-75e7295e4eaf · outbound

This paper cites Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:38.974424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f6b83673-e670-4503-a323-0ea632befef6 · outbound

This paper cites Reconstructing regime-dependent causal relationships from observa- tional time series,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Reconstructing regime-dependent causal relationships from observa- tional time series,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:38.843151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ecdb300d-3a64-46cf-9ab1-981f22ecc2f8 · outbound

This paper cites an unresolved cited work.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-11T14:39:38.825931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c333defc-6bd3-43d4-9900-af097355161d · outbound

This paper cites CloudRanger: root cause identification for cloud native systems,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data CloudRanger: root cause identification for cloud native systems,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:38.808647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7e092b3a-250d-4198-b1cb-47c3498ae76e · outbound

This paper cites Localizing failure root causes in a microservice through causality inference,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Localizing failure root causes in a microservice through causality inference,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:38.791298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 656be39e-fdb6-48c8-8046-6ceee52b5329 · outbound

This paper cites Spirtes, C.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Spirtes, C

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T14:39:37.074931Z

Source-reported events for the cited work

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Observation 19e85fdc-0e94-4e91-9a3f-27c715cd5d57 · outbound

This paper cites CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T14:39:37.080296Z

Source-reported events for the cited work

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Observation 9ee891c6-b6c6-4b61-89ab-ab7813c165a1 · outbound

This paper cites Root cause identification for collective anomalies in time series given an acyclic summary causal graph with loops,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Root cause identification for collective anomalies in time series given an acyclic summary causal graph with loops,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:38.763562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1be2ce38-031e-4129-b495-f866bb4a0619 · outbound

This paper cites Multi-lag and multi-type temporal causality inference and analysis for industrial process fault diagnosis,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Multi-lag and multi-type temporal causality inference and analysis for industrial process fault diagnosis,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:38.745785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a4b3084e-d2be-49b4-9c8e-9f2f511ae0ad · outbound

This paper cites Detection and root cause analysis of multiple plant-wide oscillations using multivariate nonlinear chirp mode decomposition and multivariate Granger causality,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Detection and root cause analysis of multiple plant-wide oscillations using multivariate nonlinear chirp mode decomposition and multivariate Granger causality,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:38.729696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f0f11ba6-4002-4ffa-93f6-a5b5a1c02839 · outbound

This paper cites Root cause analysis of industrial faults based on binary extreme gradient boosting and temporal causal discovery network,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Root cause analysis of industrial faults based on binary extreme gradient boosting and temporal causal discovery network,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:38.709913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ed2f20dd-5bef-4724-826e-d4c087979b6f · outbound

This paper cites Fault detection and diagnosis using bayesian network model combining mechanism correlation analysis and process data: application to unmonitored root cause variables type faults,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Fault detection and diagnosis using bayesian network model combining mechanism correlation analysis and process data: application to unmonitored root cause variables type faults,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:38.693280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d2d1e491-35a3-47f3-94dd-360626d38b4d · outbound

This paper cites A generalized matrix profile framework with support for contextual series analysis,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data A generalized matrix profile framework with support for contextual series analysis,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:38.674456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation af6d740c-206c-4af8-9d99-fdba27a5516a · outbound

This paper cites Why did the distribution change?.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Why did the distribution change?

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:38.656042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8b68016d-4535-4ad3-aedb-23ff8deb9497 · outbound

This paper cites A unified approach to interpreting model predictions,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data A unified approach to interpreting model predictions,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:38.638619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b56881df-9979-4faf-bdd9-063788cd5a6f · outbound

This paper cites Learning bayesian network model structure from data,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Learning bayesian network model structure from data,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T14:39:37.130591Z

Source-reported events for the cited work

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Observation ef585c04-821d-4484-8937-79302805489b · outbound

This paper cites Algorithms for large scale Markov blanket discovery,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Algorithms for large scale Markov blanket discovery,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:38.608449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c2d27872-9e9b-4e02-8b8d-d5099b910173 · outbound

This paper cites Time and sample efficient discovery of Markov blankets and direct causal relations,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Time and sample efficient discovery of Markov blankets and direct causal relations,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:38.588746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b845bcc5-f8a5-4228-9a7a-59100401ec7a · outbound

This paper cites Order-independent constraint-based causal structure learning,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Order-independent constraint-based causal structure learning,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:38.566089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 36ff13a9-170b-4511-b15d-b2bf3ceb69ee · outbound

This paper cites The max-min hill-climbing bayesian network structure learning algorithm,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data The max-min hill-climbing bayesian network structure learning algorithm,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:38.549753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 21300868-c388-4134-b2d3-1c26bf9b4b9e · outbound

This paper cites Koller and N.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Koller and N

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T14:39:37.159821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a21de9c9-abe4-476a-8cda-6bace6b9eccf · outbound

This paper cites Optimal structure identification with greedy search,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Optimal structure identification with greedy search,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:38.521284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4fb225a5-9f6a-4eea-862e-a4458e5729de · outbound

This paper cites Scaling up Greedy Causal Search for Continuous Variables.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Scaling up Greedy Causal Search for Continuous Variables

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-11T14:39:37.172861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79682d27-1930-4d0c-9df3-7ecb1b7dcf8b · outbound

This paper cites A hybrid causal search algorithm for latent variable models,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data A hybrid causal search algorithm for latent variable models,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:38.505210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3731fc07-af56-44b4-b210-3fa4b9edc664 · outbound

This paper cites CAM: causal additive models, high-dimensional order search and penalized regression,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data CAM: causal additive models, high-dimensional order search and penalized regression,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:38.486368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9b5f9a01-ac31-4f8d-ae73-28249e44150f · outbound

This paper cites Learning functional causal models with generative neural networks,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Learning functional causal models with generative neural networks,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:38.466534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4a4d58b0-de7b-4a6b-aeb0-5a349f896640 · outbound

This paper cites Peters, D.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Peters, D

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:38.446446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a25abb3b-adcf-4daa-a676-422936a832b7 · outbound

This paper cites Simplified granger causality map for data-driven root cause diagnosis of process disturbances,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Simplified granger causality map for data-driven root cause diagnosis of process disturbances,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:38.428114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8062c5f1-dc24-4ca8-9357-dfc15ad79db8 · outbound

This paper cites Granger causality: a review and recent advances,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Granger causality: a review and recent advances,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:38.406841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d1292115-16a3-4f63-a050-5c44f9108113 · outbound

This paper cites Statistical perspective on functional and causal neural connectomics: the time-aware pc algorithm,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Statistical perspective on functional and causal neural connectomics: the time-aware pc algorithm,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:38.385427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dcf970b4-ffdf-45e3-a5ab-af92560b5de7 · outbound

This paper cites Investigating causal relations by econometric models and cross-spectral methods,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Investigating causal relations by econometric models and cross-spectral methods,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:38.366760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5c75f56f-1228-482c-ab98-e740044570fe · outbound

This paper cites Neural Granger causality,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Neural Granger causality,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:38.347853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 740a7c53-a050-443d-bd4c-4675ef2adcb4 · outbound

This paper cites The CMS experiment at the CERN LHC,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data The CMS experiment at the CERN LHC,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:38.327993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1841710b-1527-4494-9caa-dea5861e4629 · outbound

This paper cites Development of the CMS detector for the CERN LHC Run 3,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Development of the CMS detector for the CERN LHC Run 3,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:38.307356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bc92bcf4-0982-4494-bf2d-abd8a2fd3abc · outbound

This paper cites The upgrade of the CMS Hadron Calorimeter with Silicon photomultipliers,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data The upgrade of the CMS Hadron Calorimeter with Silicon photomultipliers,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:38.288418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 38e03b99-c15e-47ad-b57e-6e7dadfa3904 · outbound

This paper cites Status of the CMS detector,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Status of the CMS detector,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:38.269167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 619ffd74-bb35-4a69-9849-1072317c9bf3 · outbound

This paper cites CMS technical design report for the phase 1 upgrade of the hadron calorimeter,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data CMS technical design report for the phase 1 upgrade of the hadron calorimeter,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:38.252424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7d1e6aa1-ee80-4a0d-bbb7-0fb08adfa338 · outbound

This paper cites Design, performance, and calibration of CMS Hadron Endcap calorimeters,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Design, performance, and calibration of CMS Hadron Endcap calorimeters,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:38.234108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation db547b5f-e3b4-4772-866c-9732d3de04be · outbound

This paper cites Lightweight multi- system multivariate interconnection and divergence discovery,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Lightweight multi- system multivariate interconnection and divergence discovery,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:38.215008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b443841c-a59f-4a30-95af-7b9218a3d292 · outbound

This paper cites EasyVista,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data EasyVista,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:38.197643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 57c6fdb0-5a5f-4308-8e73-9a83d4f7d2aa · outbound

This paper cites EasyRCA IT monitoring dataset,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data EasyRCA IT monitoring dataset,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:38.176024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5686d759-8c2a-412a-aa1b-33d030cc0e63 · outbound

This paper cites Multivariate LSTM-FCNs for time series classification,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Multivariate LSTM-FCNs for time series classification,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:38.154295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 01e12079-c517-4c29-ab78-5a6534a01311 · outbound

This paper cites STL: a seasonal-trend decomposition,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data STL: a seasonal-trend decomposition,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:38.134211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6778eb93-7da0-4c91-b837-f6b470160ab4 · outbound

This paper cites A fully automated periodicity detection in time series,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data A fully automated periodicity detection in time series,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:38.115158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5323db6e-d051-4ca2-a538-a094d27cbb8c · outbound

This paper cites ClaSP: parameter-free time series segmentation,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data ClaSP: parameter-free time series segmentation,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:38.097837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 79346268-5edd-41d9-b7ec-6a167b130a5d · outbound

This paper cites MSTL: A Seasonal-Trend Decomposition Algorithm for Time Series with Multiple Seasonal Patterns.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data MSTL: A Seasonal-Trend Decomposition Algorithm for Time Series with Multiple Seasonal Patterns

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-11T14:39:37.305762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2362caf5-1721-4b5a-9ebc-5d669dc11718 · outbound

This paper cites Time-series anomaly detection service at Microsoft,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Time-series anomaly detection service at Microsoft,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:38.079975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7a4793fc-20d2-4965-b9df-4170eb7633b0 · outbound

This paper cites Comprehensive Review and Empirical Evaluation of Causal Discovery Algorithms for Numerical Data.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Comprehensive Review and Empirical Evaluation of Causal Discovery Algorithms for Numerical Data

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-11T14:39:37.317662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69fdee78-cd6a-425d-8f40-f2e091a495ac · outbound

This paper cites Enhancing causal discovery from robot sensor data in dynamic scenarios,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Enhancing causal discovery from robot sensor data in dynamic scenarios,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:38.061048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6c11b9e3-1bc2-4e0a-b383-0782af13ae18 · outbound

This paper cites an unresolved cited work.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-11T14:39:38.042756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8e7f6d6c-7225-44bd-b557-f6077ecc4fa8 · outbound

This paper cites an unresolved cited work.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Unresolved cited work

Reference 74

Resolution: unresolved; raw_fallback, observed 2026-08-11T14:39:38.023271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 087b8172-a063-4458-9a92-99d4b1f346cb · outbound

This paper cites A novel dynamic Bayesian network approach for data mining and survival data analysis,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data A novel dynamic Bayesian network approach for data mining and survival data analysis,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:38.001320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c7298e9d-f413-429e-a3e7-97068496aba9 · outbound

This paper cites Optimal detection of changepoints with a linear computational cost,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Optimal detection of changepoints with a linear computational cost,

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-11T14:39:37.347859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16604c30-4713-411e-b78d-392d2d04b8b7 · outbound

This paper cites New efficient algorithms for multiple change-point detection with reproducing kernels,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data New efficient algorithms for multiple change-point detection with reproducing kernels,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:37.957514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation aa0e60c2-a31d-4663-b4cc-3c486e873718 · outbound

This paper cites Structural intervention distance for evaluating causal graphs,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Structural intervention distance for evaluating causal graphs,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:37.939398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3674f4a5-4bb9-4c3e-a4a3-49715c663f27 · outbound

This paper cites gCastle: A Python Toolbox for Causal Discovery.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data gCastle: A Python Toolbox for Causal Discovery

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-11T14:39:37.364431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2223f552-d09e-4180-94a0-961d212d7822 · outbound

This paper cites Scoring functions for learning bayesian networks,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Scoring functions for learning bayesian networks,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:37.920284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 46e3a0cc-20e3-4473-98dd-a3a80a584c90 · outbound

This paper cites Di- rectLiNGAM: a direct method for learning a linear non-Gaussian structural equation model,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Di- rectLiNGAM: a direct method for learning a linear non-Gaussian structural equation model,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:37.896499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 14938e87-e459-434f-944c-307eef797a7d · outbound

This paper cites A linear non-Gaussian acyclic model for causal discovery,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data A linear non-Gaussian acyclic model for causal discovery,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:37.873665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cceb3ad2-53aa-4d55-92a0-653ef4810d92 · outbound

This paper cites Gradient-Based Neural DAG Learning.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Gradient-Based Neural DAG Learning

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-11T14:39:37.387931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 046fb62b-f963-406b-a4d0-059eab9fe652 · outbound

This paper cites On the role of sparsity and dag constraints for learning linear dags,.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data On the role of sparsity and dag constraints for learning linear dags,

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-11T14:39:37.393791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1eb7e0a5-ffee-4af8-bf0e-2ac353ebbbf0 · outbound

This paper cites A Graph Autoencoder Approach to Causal Structure Learning.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data A Graph Autoencoder Approach to Causal Structure Learning

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-11T14:39:37.399979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f912a6f-2f0a-434b-ae7b-342cc2d51112 · outbound

This paper cites Causal Discovery with Reinforcement Learning.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Causal Discovery with Reinforcement Learning

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-11T14:39:37.406078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdd1f86a-9459-4f26-8a30-83a9e21beb3b · outbound

This paper cites Ordering-Based Causal Discovery with Reinforcement Learning.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Ordering-Based Causal Discovery with Reinforcement Learning

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-11T14:39:37.412572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e47151ba-524d-44a2-ad6f-29da2e863803 · outbound

This paper cites an unresolved cited work.

Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data Unresolved cited work

Reference 88

Resolution: unresolved; raw_fallback, observed 2026-08-11T14:39:37.835997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers