Paper Citation Record · LEDGER

A Survey of Adversarial Learning on Graphs

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2003.05730.

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

pith.paper-citation-record.v1
2003.05730 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:22:53.402631Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T06:35:09.376547Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 811c4a91-8e43-44f2-955e-68621d62629c · inbound

Mitigating the Structural Bias in Graph Adversarial Defenses cites this paper.

Mitigating the Structural Bias in Graph Adversarial Defenses A Survey of Adversarial Learning on Graphs

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T05:21:18.362525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70bb07d7-6574-4596-9ad4-704a926986aa · inbound

Quantifying the Noise of Structural Perturbations on Graph Adversarial Attacks cites this paper.

Quantifying the Noise of Structural Perturbations on Graph Adversarial Attacks A Survey of Adversarial Learning on Graphs

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T05:22:53.402631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0259a07b-9d70-4d98-8287-2c3a7e233bdd · inbound

Budgeted Indirect Adversarial Attack on Graph-Based Anomaly Detection in Sensor Networks cites this paper.

Budgeted Indirect Adversarial Attack on Graph-Based Anomaly Detection in Sensor Networks A Survey of Adversarial Learning on Graphs

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T15:52:45.349416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8c91c78-6946-4cad-928d-0ddf9a28dea9 · inbound

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing cites this paper.

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing A Survey of Adversarial Learning on Graphs

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T17:24:44.973280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ea387ab-faf4-43da-b389-7bb7c1287105 · inbound

Trapping Attacker in Dilemma: Examining Internal Correlations and External Influences of Trigger for Defending GNN Backdoors cites this paper.

Trapping Attacker in Dilemma: Examining Internal Correlations and External Influences of Trigger for Defending GNN Backdoors A Survey of Adversarial Learning on Graphs

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:36:25.524997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3f683d07-f3d3-4f54-bd46-e228754fb48c · inbound

Trapping Attacker in Dilemma: Examining Internal Correlations and External Influences of Trigger for Defending GNN Backdoors cites this paper.

Trapping Attacker in Dilemma: Examining Internal Correlations and External Influences of Trigger for Defending GNN Backdoors A Survey of Adversarial Learning on Graphs

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:35:09.380099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.