Paper Citation Record · LEDGER

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems

As of 9 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2607.23197.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.23197 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T03:22:38.017693Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

verified exact0
verified fuzzy0
unresolved43
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 09879e42-aa8f-49fb-b84b-0863ec217687 · outbound

This paper cites 2016 international workshop on cyber-physical systems for smart water networks (CySWater) , pages=.

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems 2016 international workshop on cyber-physical systems for smart water networks (CySWater) , pages=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:36.103240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a66a4e73-3ddc-44e2-a966-4111245c82c8 · outbound

This paper cites Proceedings of the 3rd international workshop on cyber-physical systems for smart water networks , pages=.

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems Proceedings of the 3rd international workshop on cyber-physical systems for smart water networks , pages=

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:36.208193Z

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Observation 810e4ffb-3f77-40ce-8cda-54d6530eafbf · outbound

This paper cites Computers & chemical engineering , volume=.

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems Computers & chemical engineering , volume=

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:36.315624Z

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Observation b34d54e3-789b-4943-be63-2ca69f988d74 · outbound

This paper cites Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining , pages=.

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining , pages=

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:36.414148Z

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Observation 81340f7f-0c3d-4bb0-8c85-a353a8b17933 · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:36.559967Z

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Observation b55f1353-ae2a-4655-9b92-f183db003ea5 · outbound

This paper cites International conference on machine learning , pages=.

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems International conference on machine learning , pages=

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:36.685894Z

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Observation 01f030f7-e5ad-4acd-8289-c374c1d2f2af · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:36.826369Z

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Unavailable: canonical work link unavailable.

Observation 45d8de88-d0a4-42f4-8248-0df86a9de611 · outbound

This paper cites 2020 IEEE international conference on data mining (ICDM) , pages=.

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems 2020 IEEE international conference on data mining (ICDM) , pages=

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:36.911267Z

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Observation 179beaa2-a95b-4130-855d-a958c2db3bed · outbound

This paper cites , author=.

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems , author=

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:37.024397Z

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Observation cb60ec2f-34a9-41b2-bdd1-85de68f0c1ec · outbound

This paper cites Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series.

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:37.109556Z

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Observation 267874bd-cd40-4b7a-90ed-4c102a381911 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:37.187652Z

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Observation 6f78911f-9a44-4743-aeda-bab8b6859438 · outbound

This paper cites arXiv preprint arXiv:2510.16511 , year=.

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems arXiv preprint arXiv:2510.16511 , year=

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:37.263782Z

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Observation 3aa7d2c8-87c0-4d57-b5b2-fac33836ce05 · outbound

This paper cites International conference on machine learning , pages=.

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems International conference on machine learning , pages=

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:37.341238Z

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Observation 1741c0ff-0a71-42bc-bce2-e9d6b1d39442 · outbound

This paper cites 2015 , publisher=.

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems 2015 , publisher=

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:37.416292Z

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Observation 4175aea6-8872-48a6-91ed-443ecaa48eb6 · outbound

This paper cites Techniques of Statistical Analysis , editor=.

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems Techniques of Statistical Analysis , editor=

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:37.498383Z

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Observation 315bb7d2-990d-4ca0-8453-8e68e5fd21a7 · outbound

This paper cites Proceedings of the IEEE Foundations and New Directions of Data Mining Workshop , pages=.

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems Proceedings of the IEEE Foundations and New Directions of Data Mining Workshop , pages=

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:37.576684Z

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Observation 67718530-0e34-41b4-879b-69511b33fb26 · outbound

This paper cites Neural Computation , volume=.

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems Neural Computation , volume=

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:37.661028Z

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Observation 67e3322a-7135-4e96-acab-4da3cf6b8bf5 · outbound

This paper cites Machine Learning , volume=.

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems Machine Learning , volume=

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:37.768397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3c24722-08a7-4e96-a9ea-fcdaa7a7f622 · outbound

This paper cites and Kriegel, Hans-Peter and Ng, Raymond T.

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems and Kriegel, Hans-Peter and Ng, Raymond T

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:37.847430Z

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Unavailable: canonical work link unavailable.

Observation cbac89cf-f3a7-4e93-acfa-c651837d6b89 · outbound

This paper cites Proceedings of the IEEE International Conference on Data Mining , pages=.

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems Proceedings of the IEEE International Conference on Data Mining , pages=

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:37.928100Z

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Observation 1c2e9a9b-a9e9-4ad7-bfac-e39eacb0c897 · outbound

This paper cites Detecting Spacecraft Anomalies Using.

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems Detecting Spacecraft Anomalies Using

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:37.932022Z

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Observation 830bba4f-75f4-4d83-bb34-dcac1e842f78 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems Advances in Neural Information Processing Systems , volume=

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:37.935945Z

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Unavailable: canonical work link unavailable.

Observation 15ae0175-1877-4ac1-8907-3d091dfcf6ea · outbound

This paper cites an unresolved cited work.

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:37.939837Z

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Observation 9b3e3119-d3a0-4c94-80c3-cbf7a9f88dbf · outbound

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Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems , journal=

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:37.943964Z

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Observation 9461d81e-b43d-409f-ba35-5603d97284e9 · outbound

This paper cites Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , pages=.

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , pages=

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:37.948326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36fd6ed5-3f91-4bd2-bad8-21f82b6c0192 · outbound

This paper cites Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , pages=.

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , pages=

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:37.952665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8b87f7e-7179-4246-b671-bdb6c517ae4a · outbound

This paper cites Proceedings of the IEEE International Conference on Data Mining , pages=.

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems Proceedings of the IEEE International Conference on Data Mining , pages=

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:37.956803Z

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Observation 15474f86-e072-4fe7-94ed-db5cdea2f0b9 · outbound

This paper cites , journal=.

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems , journal=

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:37.960580Z

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Observation 443b8c8e-f1c9-407d-b4da-391e68e8ef08 · outbound

This paper cites International Conference on Learning Representations , year=.

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems International Conference on Learning Representations , year=

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:37.964331Z

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Observation 196ffc77-ce3a-4641-a55e-50cbe694aec9 · outbound

This paper cites IEEE Transactions on Neural Networks and Learning Systems , volume=.

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems IEEE Transactions on Neural Networks and Learning Systems , volume=

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:37.967943Z

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Observation 91749532-c95d-4dbe-bb63-7838089578fd · outbound

This paper cites A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection.

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:37.971727Z

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Observation 5e763e50-6a51-4d54-8dc9-0fb90a86fd94 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year=.

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems International Conference on Learning Representations (ICLR) , year=

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:37.975614Z

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Unavailable: canonical work link unavailable.

Observation 09ff38fe-4bc0-401d-a5a0-5551c6154de0 · outbound

This paper cites Proceedings of the 39th International Conference on Machine Learning (ICML) , pages=.

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems Proceedings of the 39th International Conference on Machine Learning (ICML) , pages=

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:37.979405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd93bbee-d57d-4094-8744-e7760ab38531 · outbound

This paper cites an unresolved cited work.

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems Unresolved cited work

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:37.982852Z

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Observation b2ab7c55-398b-49f7-ac50-891bc4f3ef4e · outbound

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Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems 2026 , month =

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:37.986646Z

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Observation 64db651b-d982-4b8f-9cce-7c8f5f8eb5bc · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems Semi-Supervised Classification with Graph Convolutional Networks

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:37.990321Z

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Unavailable: canonical work link unavailable.

Observation fb87875b-e6ce-43ae-9b39-5f6ea85c292c · outbound

This paper cites Graph Attention Networks.

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems Graph Attention Networks

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:37.994414Z

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Unavailable: canonical work link unavailable.

Observation 694788ee-ff81-4317-baec-3b4038049c0e · outbound

This paper cites Advances in neural information processing systems , volume=.

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems Advances in neural information processing systems , volume=

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:37.998506Z

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Observation f3d1fc74-a880-4092-8386-102430f44c47 · outbound

This paper cites Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification.

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:38.002083Z

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Observation c7c641da-02a3-43ad-9063-0d80e353a3a9 · outbound

This paper cites and Kozitsin, Vyacheslav O.

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems and Kozitsin, Vyacheslav O

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:38.005996Z

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Unavailable: canonical work link unavailable.

Observation e8ffa167-bba0-4271-9e0e-4de887904238 · outbound

This paper cites IEEE transactions on knowledge and data engineering , volume=.

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems IEEE transactions on knowledge and data engineering , volume=

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:38.010062Z

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Observation 619f2339-6af2-4d87-8e59-1020acb60a59 · outbound

This paper cites Technometrics , volume=.

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems Technometrics , volume=

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:38.013834Z

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Observation efaf011b-6aa4-4ad5-a06d-94ea130e70ec · outbound

This paper cites Neural computation , volume=.

Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems Neural computation , volume=

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-01T03:22:38.017693Z

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Pith citing papers

No inbound Pith citation observations are available.