Paper Citation Record · LEDGER

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges

As of 14 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2605.07133.

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

pith.paper-citation-record.v1
2605.07133 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-11T02:17:33.913360Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

42 of 42 outbound references displayed

verified exact0
verified fuzzy38
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9d2d1c37-7633-4178-8577-5dcfd087d136 · outbound

This paper cites Journal of Machine Learning Research , volume =.

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges Journal of Machine Learning Research , volume =

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:30:54.846047Z

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 00b79a3d-7eeb-4f1c-973a-a84b64a95c56 · outbound

This paper cites Tsourakakis , title =.

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges Tsourakakis , title =

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:30:54.844121Z

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 f16d466c-33c4-4d05-9651-16d32c0c0168 · outbound

This paper cites Proceedings of the.

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges Proceedings of the

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:30:54.838682Z

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 05f78314-af0e-4dea-90af-2cbd4fe73963 · outbound

This paper cites Proceedings of the SIAM International Conference on Data Mining.

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges Proceedings of the SIAM International Conference on Data Mining

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:30:54.768347Z

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 b6af506c-d7bd-44f0-b48e-db31743c4f49 · outbound

This paper cites Proceedings of the Fifteenth.

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges Proceedings of the Fifteenth

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:30:54.836866Z

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 8e07d484-d813-43fb-8d14-08139c9fd4c8 · outbound

This paper cites Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing.

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:30:54.831542Z

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 22ccca40-6661-4d28-badb-113f616468a2 · outbound

This paper cites Kipf and Max Welling , title =.

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges Kipf and Max Welling , title =

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:30:54.821870Z

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 4aa1fc9e-511e-497d-9223-bf97fe4db67f · outbound

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

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges Advances in Neural Information Processing Systems , year =

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:30:54.842303Z

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 221c1aa3-7086-400d-b209-580267bd8264 · outbound

This paper cites Foundations and Trends in Signal Processing , volume =.

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges Foundations and Trends in Signal Processing , volume =

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:30:54.776847Z

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 0e681191-8862-4e04-bb85-1b37e46b9dbf · outbound

This paper cites an unresolved cited work.

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-05-14T13:30:54.814565Z

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 4a33f72f-db92-4c47-a59e-cf6ccd15daff · outbound

This paper cites Das , title =.

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges Das , title =

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:30:54.782435Z

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 9528c092-87fb-4dfd-8fb6-594d04689533 · outbound

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

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges IEEE Transactions on Neural Networks and Learning Systems , volume=

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:30:54.807698Z

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 24a1564d-7988-4725-9474-e368469e1d26 · outbound

This paper cites Chen and Zhihao Jia and Philip S.

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges Chen and Zhihao Jia and Philip S

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:30:54.829925Z

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 a9ffec85-2e81-4c0b-8321-be84a29c9a88 · outbound

This paper cites Proceedings of the.

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges Proceedings of the

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:30:54.824657Z

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 b852cbce-ea51-49cd-aba6-a7771474c74c · outbound

This paper cites an unresolved cited work.

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-05-14T13:30:54.811188Z

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 5eefe9c3-bcba-4f40-ae96-e4cc18f5fc10 · outbound

This paper cites Neural Computing and Applications , volume=.

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges Neural Computing and Applications , volume=

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:30:54.833235Z

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 ac94f0cc-1431-4dc9-8b7f-cee32392f64c · outbound

This paper cites Proceedings of the ACM International Conference on Web Search and Data Mining.

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges Proceedings of the ACM International Conference on Web Search and Data Mining

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:30:54.802137Z

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 a8f06eac-efc0-4716-a570-30e7bd2a6c2c · outbound

This paper cites Proceedings of the Seventeenth ACM International Conference on Web Search and Data Mining , pages=.

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges Proceedings of the Seventeenth ACM International Conference on Web Search and Data Mining , pages=

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:30:54.826583Z

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 babd53a7-c60c-4ec6-acb6-035a76609040 · outbound

This paper cites Proceedings of the ACM on Web Conference.

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges Proceedings of the ACM on Web Conference

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:30:54.790863Z

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 8d754283-328d-4680-882e-fb019909d07e · outbound

This paper cites Neural Networks , volume=.

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges Neural Networks , volume=

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:30:54.828307Z

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 e42d132b-d9a1-4813-8b09-223935d69146 · outbound

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

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges Proceedings of the AAAI Conference on Artificial Intelligence , pages=

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:30:54.772811Z

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 5bc32242-2216-4c5a-8634-0a6d3df6623e · outbound

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

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges Advances in Neural Information Processing Systems , volume=

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:30:54.816226Z

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 08776e5e-3d4c-40c1-98f3-ae712c098ee1 · outbound

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

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:30:54.840506Z

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 4c8f28c5-6679-46c4-a20e-6b1de0d71d4b · outbound

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

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges Advances in Neural Information Processing Systems , volume=

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:30:54.792585Z

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 1d766688-c1eb-4aac-aae4-3a3f0d9a4c73 · outbound

This paper cites an unresolved cited work.

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-05-14T13:30:54.798290Z

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 56bdcb05-cba3-4e89-863e-5fad0ca10832 · outbound

This paper cites Proceedings of the NeurIPS 2021 Datasets and Benchmarks Track , year=.

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges Proceedings of the NeurIPS 2021 Datasets and Benchmarks Track , year=

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:30:54.805835Z

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 251fccee-898d-49e1-9828-ce414ff439c6 · outbound

This paper cites Reconstructed Graph Neural Network With Knowledge Distillation for Lightweight Anomaly Detection , journal =.

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges Reconstructed Graph Neural Network With Knowledge Distillation for Lightweight Anomaly Detection , journal =

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:30:54.804030Z

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 e70f3a8c-a508-4463-b33e-855d18676581 · outbound

This paper cites Proceedings of the International Wireless Communications and Mobile Computing.

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges Proceedings of the International Wireless Communications and Mobile Computing

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:30:54.774849Z

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 e3764dd4-46e5-4ca8-8c17-4b70dfc65d53 · outbound

This paper cites Proceedings of the International Conference on Learning Representations.

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges Proceedings of the International Conference on Learning Representations

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:30:54.809505Z

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 8df2db79-1a5f-4d8f-8aa8-9866e157d4b8 · outbound

This paper cites an unresolved cited work.

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-05-14T13:30:54.788412Z

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 0608fdf5-a440-4de0-a7a1-3190a57848c3 · outbound

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

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges Advances in Neural Information Processing Systems , volume=

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:30:54.834895Z

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 82c15fdd-a3e5-4bea-8776-0092c7cc6f92 · outbound

This paper cites Proceedings of the.

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges Proceedings of the

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:30:54.800245Z

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 f5172a3c-dab4-4dc5-b8ae-b3fe8fc80061 · outbound

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

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges Proceedings of the AAAI Conference on Artificial Intelligence

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:30:54.780745Z

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 11f082c7-065f-4ef6-80cc-6a0329f8a210 · outbound

This paper cites Aggarwal , title =.

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges Aggarwal , title =

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:30:54.770697Z

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 2b177f7c-bcf7-4816-83c0-09c9a6924b04 · outbound

This paper cites Proceedings of the Learning on Graphs Conference , volume=.

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges Proceedings of the Learning on Graphs Conference , volume=

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:30:54.818231Z

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 00a442ac-2398-465f-896c-26a993d73816 · outbound

This paper cites Proceedings of the International Conference on Learning Representations.

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges Proceedings of the International Conference on Learning Representations

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:30:54.812851Z

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 d19e06cb-bb31-4c28-8a71-2bb2e887499c · outbound

This paper cites Proceedings of the ACM International Conference on Information and Knowledge Management.

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges Proceedings of the ACM International Conference on Information and Knowledge Management

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:30:54.778717Z

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 28eb5694-1d3a-41f7-b9ef-8ac5607d147b · outbound

This paper cites AI Magazine , volume=.

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges AI Magazine , volume=

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:30:54.796539Z

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 90d6482e-3cf2-490c-9efb-b73151ba7c51 · outbound

This paper cites Expert Systems with Applications , volume=.

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges Expert Systems with Applications , volume=

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:30:54.820156Z

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 1f7faa83-040e-4c26-a852-8b60c4eae666 · outbound

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

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:30:54.786388Z

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 571539d6-9cac-4e10-bbb0-c19a3a7b8539 · outbound

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

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges Advances in Neural Information Processing Systems , volume=

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:30:54.784284Z

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 596c34d2-1b92-4fe3-b389-b6da3874e7c9 · outbound

This paper cites Proceedings of the International Conference on Machine Learning.

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges Proceedings of the International Conference on Machine Learning

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T13:30:54.794435Z

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.

Pith citing papers

No inbound Pith citation observations are available.