Paper Citation Record · LEDGER

Graph Attention Networks with Physical Constraints for Anomaly Detection

As of 18 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2601.12426.

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

pith.paper-citation-record.v1
2601.12426 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T09:50:40.968664Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

15 of 15 outbound references displayed

verified exact0
verified fuzzy0
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ebe50433-db4c-4a93-aec3-02915715072d · outbound

This paper cites Battle of the Attack Detection Algorithms: Disclosing Cyber Attacks on Wa- ter Distribution Networks,.

Graph Attention Networks with Physical Constraints for Anomaly Detection Battle of the Attack Detection Algorithms: Disclosing Cyber Attacks on Wa- ter Distribution Networks,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T09:50:39.288448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 462120d6-7c1a-4b01-82a3-cde5e5b2c543 · outbound

This paper cites At- tack detection in water distribution systems using machine learning,.

Graph Attention Networks with Physical Constraints for Anomaly Detection At- tack detection in water distribution systems using machine learning,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T09:50:39.346182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14fd11f8-52a4-4b12-88a4-d56eb17802f9 · outbound

This paper cites Digital Transformation in the Water Distribution System based on the Digital Twins Concept.

Graph Attention Networks with Physical Constraints for Anomaly Detection Digital Transformation in the Water Distribution System based on the Digital Twins Concept

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T09:50:39.434830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd4fef83-5d77-47f4-9987-5e15ecd9c60b · outbound

This paper cites Deep-learning approach to the de- tection and localization of cyber-physical attacks on water dis- tribution systems,.

Graph Attention Networks with Physical Constraints for Anomaly Detection Deep-learning approach to the de- tection and localization of cyber-physical attacks on water dis- tribution systems,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T09:50:39.524880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82c061ed-7d97-4fa0-91fc-7c2668714858 · outbound

This paper cites A CV AE-Based Anomaly Detection Algorithm for Cyber Physical Attacks for Water Dis- tribution Systems,.

Graph Attention Networks with Physical Constraints for Anomaly Detection A CV AE-Based Anomaly Detection Algorithm for Cyber Physical Attacks for Water Dis- tribution Systems,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T09:50:39.632362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8595a586-7fd4-450a-a200-2e466017fb23 · outbound

This paper cites Ex- plainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI,.

Graph Attention Networks with Physical Constraints for Anomaly Detection Ex- plainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T09:50:39.729172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b08cffba-cdca-4e0b-adce-2c6e9b93fcf8 · outbound

This paper cites Model-based approach for cyber- physical attack detection in water distribution systems,.

Graph Attention Networks with Physical Constraints for Anomaly Detection Model-based approach for cyber- physical attack detection in water distribution systems,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T09:50:39.851871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ff71b2a-23d0-4afc-8427-ccfb31fa518d · outbound

This paper cites Physics and Chemistry of the Earth, Parts A/B/C134, 103558 (2024).

Graph Attention Networks with Physical Constraints for Anomaly Detection Physics and Chemistry of the Earth, Parts A/B/C134, 103558 (2024)

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T09:50:39.988628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75579e20-cc2c-4196-9589-95ed63f0d086 · outbound

This paper cites Deep H2O: Cyber attacks detection in water distribution systems using deep learn- ing,.

Graph Attention Networks with Physical Constraints for Anomaly Detection Deep H2O: Cyber attacks detection in water distribution systems using deep learn- ing,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T09:50:40.146752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4dfb7844-752c-4960-8b46-2f562736b2c7 · outbound

This paper cites Evolution of Com- plex Network Topologies in Urban Water Infrastructure,.

Graph Attention Networks with Physical Constraints for Anomaly Detection Evolution of Com- plex Network Topologies in Urban Water Infrastructure,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T09:50:40.258428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 502c6cb1-9ab6-4306-aad8-ae6bcd166105 · outbound

This paper cites an unresolved cited work.

Graph Attention Networks with Physical Constraints for Anomaly Detection Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T09:50:40.417222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bff91ad9-465b-4597-b692-796905dbc7e5 · outbound

This paper cites Large-Scale Multipurpose Benchmark Datasets for Assessing Data-Driven Deep Learning Approaches for Water Distribution Networks,.

Graph Attention Networks with Physical Constraints for Anomaly Detection Large-Scale Multipurpose Benchmark Datasets for Assessing Data-Driven Deep Learning Approaches for Water Distribution Networks,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T09:50:40.525904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6106de5b-d764-4509-b783-916d6a0580f9 · outbound

This paper cites Graph attention networks,.

Graph Attention Networks with Physical Constraints for Anomaly Detection Graph attention networks,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T09:50:40.692020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 583c56e8-18c1-448e-9b6d-2339358294b7 · outbound

This paper cites Fast unfolding of communities in large networks,.

Graph Attention Networks with Physical Constraints for Anomaly Detection Fast unfolding of communities in large networks,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T09:50:40.849411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0270d5b-4b82-4bab-91ce-1eac1e7e3892 · outbound

This paper cites Explain- ing anomalies detected by autoencoders using Shapley Additive Explanations,.

Graph Attention Networks with Physical Constraints for Anomaly Detection Explain- ing anomalies detected by autoencoders using Shapley Additive Explanations,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T09:50:40.968664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.