Paper Citation Record · LEDGER

Unifying Adversarial Perturbation for Graph Neural Networks

As of 10 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2509.00387.

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

pith.paper-citation-record.v1
2509.00387 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:44:11.054088Z

measured 50 of 50 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

50 of 50 outbound references displayed

verified exact4
verified fuzzy3
unresolved43
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dc87c259-2d90-41e5-b06e-4ca5d0731d26 · outbound

This paper cites an unresolved cited work.

Unifying Adversarial Perturbation for Graph Neural Networks Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:19.223813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 471dd8a3-a95e-4ee0-948e-d4be7ddaa799 · outbound

This paper cites an unresolved cited work.

Unifying Adversarial Perturbation for Graph Neural Networks Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:19.076723Z

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Observation 04604bcc-c1fe-4d1c-8383-9b1e62755e9f · outbound

This paper cites an unresolved cited work.

Unifying Adversarial Perturbation for Graph Neural Networks Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:18.906271Z

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Observation 5cb24993-a83d-4339-b015-47be7f84a455 · outbound

This paper cites Spectral Networks and Locally Connected Networks on Graphs.

Unifying Adversarial Perturbation for Graph Neural Networks Spectral Networks and Locally Connected Networks on Graphs

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T13:44:05.844897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 063ae6b3-cb87-4d36-ac43-7f8875f703a5 · outbound

This paper cites an unresolved cited work.

Unifying Adversarial Perturbation for Graph Neural Networks Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:18.765952Z

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Observation 9d6fc61b-ed61-462b-9524-dcefdefafe6f · outbound

This paper cites an unresolved cited work.

Unifying Adversarial Perturbation for Graph Neural Networks Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:18.638897Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f4de6173-3f83-40f7-a3d7-f2f6ad04a9ee · outbound

This paper cites an unresolved cited work.

Unifying Adversarial Perturbation for Graph Neural Networks Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:18.524643Z

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Observation 291b987b-19c2-4ea6-88c5-59cadf3a608f · outbound

This paper cites an unresolved cited work.

Unifying Adversarial Perturbation for Graph Neural Networks Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:18.413514Z

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Observation a2038370-522a-4571-ba8f-f0e7df1f2d26 · outbound

This paper cites an unresolved cited work.

Unifying Adversarial Perturbation for Graph Neural Networks Unresolved cited work

Reference 9

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Observation e0e17295-8d2d-4b35-88ac-65039ad174b6 · outbound

This paper cites an unresolved cited work.

Unifying Adversarial Perturbation for Graph Neural Networks Unresolved cited work

Reference 10

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Observation 23a8fae6-0b19-42bc-959b-98a9bb0936c2 · outbound

This paper cites an unresolved cited work.

Unifying Adversarial Perturbation for Graph Neural Networks Unresolved cited work

Reference 11

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Observation 24a02e7e-e870-40c8-b295-4c84a1f65c53 · outbound

This paper cites Batch Virtual Adversarial Training for Graph Convolutional Networks.

Unifying Adversarial Perturbation for Graph Neural Networks Batch Virtual Adversarial Training for Graph Convolutional Networks

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 15b005d8-6b4e-4189-87ef-9471d90b8177 · outbound

This paper cites an unresolved cited work.

Unifying Adversarial Perturbation for Graph Neural Networks Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:17.922885Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 640302e5-3e00-4d31-9f2b-f86b79206699 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Unifying Adversarial Perturbation for Graph Neural Networks Explaining and Harnessing Adversarial Examples

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T13:44:07.055328Z

Source-reported events for the cited work

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Observation cdc6450e-f1f5-4502-a478-3d3cb38f01b5 · outbound

This paper cites an unresolved cited work.

Unifying Adversarial Perturbation for Graph Neural Networks Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:17.707279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3d1dd032-511b-4421-944d-bfc3fce70ad2 · outbound

This paper cites an unresolved cited work.

Unifying Adversarial Perturbation for Graph Neural Networks Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T13:44:07.316417Z

Source-reported events for the cited work

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Observation a4e6a815-bcf2-443e-a0fa-d5ffb0bb7eab · outbound

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

Unifying Adversarial Perturbation for Graph Neural Networks Semi-Supervised Classification with Graph Convolutional Networks

Reference 17

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Observation 3af6f9c9-aae9-40d6-bb60-5478a72903a0 · outbound

This paper cites an unresolved cited work.

Unifying Adversarial Perturbation for Graph Neural Networks Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:17.436604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fa10fe71-37fb-4dde-a3c7-5d6fe309df44 · outbound

This paper cites an unresolved cited work.

Unifying Adversarial Perturbation for Graph Neural Networks Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:17.178633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a8e2caa9-0f1c-4266-8a3b-78b312f1ad3a · outbound

This paper cites an unresolved cited work.

Unifying Adversarial Perturbation for Graph Neural Networks Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:16.912414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b6c12bce-7bbc-4840-8da0-28dc7c5fcea1 · outbound

This paper cites Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets.

Unifying Adversarial Perturbation for Graph Neural Networks Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets

Reference 21

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 33002152-a226-4121-ba3f-153fbbba5955 · outbound

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Unifying Adversarial Perturbation for Graph Neural Networks Unresolved cited work

Reference 22

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Observation 69ee7fa6-71ac-4280-abd3-7557b4804e31 · outbound

This paper cites an unresolved cited work.

Unifying Adversarial Perturbation for Graph Neural Networks Unresolved cited work

Reference 23

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 15c26323-9084-4ef8-bbc0-9e836d6e96c7 · outbound

This paper cites an unresolved cited work.

Unifying Adversarial Perturbation for Graph Neural Networks Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:16.045757Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6d4e9191-8999-4a92-ba95-28b26ce356d3 · outbound

This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

Unifying Adversarial Perturbation for Graph Neural Networks Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 25

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Source-reported events for the cited work

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Observation 04aff88f-cdd0-4881-bcdc-8996dc36e3c1 · outbound

This paper cites Adversarial Training Methods for Semi-Supervised Text Classification.

Unifying Adversarial Perturbation for Graph Neural Networks Adversarial Training Methods for Semi-Supervised Text Classification

Reference 26

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Source-reported events for the cited work

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Observation bb8b4630-16d3-4a6f-9b68-1b9375fae456 · outbound

This paper cites an unresolved cited work.

Unifying Adversarial Perturbation for Graph Neural Networks Unresolved cited work

Reference 27

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Observation 5887b88c-ab06-4667-820a-c6c541290a32 · outbound

This paper cites an unresolved cited work.

Unifying Adversarial Perturbation for Graph Neural Networks Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:15.770080Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e613c899-6386-4e5f-90de-401f647c2e0b · outbound

This paper cites an unresolved cited work.

Unifying Adversarial Perturbation for Graph Neural Networks Unresolved cited work

Reference 29

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Source-reported events for the cited work

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Observation 62768154-f16e-4841-80e7-623a2547b228 · outbound

This paper cites Geom-GCN: Geometric Graph Convolutional Networks.

Unifying Adversarial Perturbation for Graph Neural Networks Geom-GCN: Geometric Graph Convolutional Networks

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T13:44:08.804616Z

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This paper cites an unresolved cited work.

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Reference 31

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Source-reported events for the cited work

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Observation 62679486-595e-4a52-b8e3-389daa61f3cb · outbound

This paper cites an unresolved cited work.

Unifying Adversarial Perturbation for Graph Neural Networks Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:14.437583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 487f7c9b-b532-48c8-8668-e20a9ffdf18f · outbound

This paper cites an unresolved cited work.

Unifying Adversarial Perturbation for Graph Neural Networks Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:14.180273Z

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This paper cites an unresolved cited work.

Unifying Adversarial Perturbation for Graph Neural Networks Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:15.119495Z

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Observation 72780094-4f8e-409d-8676-c654e39803e9 · outbound

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Unifying Adversarial Perturbation for Graph Neural Networks Unresolved cited work

Reference 35

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Unifying Adversarial Perturbation for Graph Neural Networks Unresolved cited work

Reference 36

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e521db1f-fe6d-4da5-b1fb-26d4897d33ba · outbound

This paper cites an unresolved cited work.

Unifying Adversarial Perturbation for Graph Neural Networks Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:13.683953Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3e71bc7d-7281-4c52-90f7-15dd90c81186 · outbound

This paper cites Composition-based Multi-Relational Graph Convolutional Networks.

Unifying Adversarial Perturbation for Graph Neural Networks Composition-based Multi-Relational Graph Convolutional Networks

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-05T13:44:09.782647Z

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Observation bf722be1-7283-4876-9ee6-93cef5bd7f77 · outbound

This paper cites CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks.

Unifying Adversarial Perturbation for Graph Neural Networks CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:44:11.477793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ff0b820a-bf8a-436f-890b-1e034b5dae6a · outbound

This paper cites an unresolved cited work.

Unifying Adversarial Perturbation for Graph Neural Networks Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:13.437667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7d6de590-cab9-4f55-b9d7-f468dee8ff7f · outbound

This paper cites Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace.

Unifying Adversarial Perturbation for Graph Neural Networks Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-05T13:44:10.517845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b1839a3-bb4a-4064-b1ca-abb005b6fb4e · outbound

This paper cites Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective.

Unifying Adversarial Perturbation for Graph Neural Networks Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective

Reference 42

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This paper cites an unresolved cited work.

Unifying Adversarial Perturbation for Graph Neural Networks Unresolved cited work

Reference 43

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0553ec6f-9d58-4d0f-b0ba-e840de6babbf · outbound

This paper cites Discovering Invariant Neighborhood Patterns for Heterophilic Graphs.

Unifying Adversarial Perturbation for Graph Neural Networks Discovering Invariant Neighborhood Patterns for Heterophilic Graphs

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:44:11.260459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8a178696-40a0-465d-bd79-f17711b4a510 · outbound

This paper cites an unresolved cited work.

Unifying Adversarial Perturbation for Graph Neural Networks Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:12.649053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2d6d1d03-7203-43d9-83b7-a1686a73d91d · outbound

This paper cites an unresolved cited work.

Unifying Adversarial Perturbation for Graph Neural Networks Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:44:13.135838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 18a3735a-5408-4a8d-82bd-6415c926fbff · outbound

This paper cites Unifying Adversarial Perturbation for Graph Neural Networks.

Unifying Adversarial Perturbation for Graph Neural Networks Unifying Adversarial Perturbation for Graph Neural Networks

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:44:12.406830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0973e2e6-d787-4d87-a803-f47dd120550f · outbound

This paper cites In International conference on machine learning.

Unifying Adversarial Perturbation for Graph Neural Networks In International conference on machine learning

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:44:18.272650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dd72e86e-f78e-4ff2-a7d6-5ff5342e599c · outbound

This paper cites In Proceedings of the 26th ACM SIGKDD international conference on knowledge discovery & data mining.

Unifying Adversarial Perturbation for Graph Neural Networks In Proceedings of the 26th ACM SIGKDD international conference on knowledge discovery & data mining

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-05T13:44:07.444372Z

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Unavailable: canonical work link unavailable.

Observation 29a0353c-ee38-4c77-b92f-fe81e52e0685 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence 45, 1 (2022), 980–998.

Unifying Adversarial Perturbation for Graph Neural Networks IEEE Transactions on Pattern Analysis and Machine Intelligence 45, 1 (2022), 980–998

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:44:15.460328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.