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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-10T06:31:04.303077+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

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  • 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

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source=arxiv_source observed=2026-08-01T03:22:36.103240Z digest=sha256:ec99237c968c988a82f2a4f306a3d4adedd7e88ed9a927c9ccc494b1949e78e6

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

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source=arxiv_source observed=2026-08-01T03:22:36.208193Z digest=sha256:b35c539a18a971d239731df1e211111bfd522f4e9ac1135e52c9e330e9f30470

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

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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

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source=arxiv_source observed=2026-08-01T03:22:36.414148Z digest=sha256:6618fae18f400e90228fd56bc840db014c6bc7a5cf0ab8d283b112ae80569095

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

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source=arxiv_source observed=2026-08-01T03:22:36.559967Z digest=sha256:7e97c3fbb86063edd91b4b2b9e08848ec3315e85847e8283beb3ee3464327784

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

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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

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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

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source=arxiv_source observed=2026-08-01T03:22:36.911267Z digest=sha256:a6ea78ae88c72744d26f06a6529a38a5a9f4445f12003f3339617506bf678d2c

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

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source=arxiv_source observed=2026-08-01T03:22:37.024397Z digest=sha256:f492bb437eaa51a1066dd8f6931d50ea9bd8d256d3649d5ba09512489883f93b

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

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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

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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

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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

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

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

Reference 14

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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

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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

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source=arxiv_source observed=2026-08-01T03:22:37.576684Z digest=sha256:7b5b9e686d374a355c0b2f534c4bf49daae39164b111b565b50482f38c051117

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

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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

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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

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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

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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

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

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

Reference 22

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

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

Reference 23

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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

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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

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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

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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

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

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

Reference 28

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

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

Reference 29

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

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

Reference 30

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

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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

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

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

Reference 32

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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

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

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

Reference 34

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

Reference 35

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

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

Reference 36

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

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

Reference 37

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

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

Reference 38

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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

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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

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

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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

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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

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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

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