Paper Citation Record · LEDGER

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

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1906.04214.

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

pith.paper-citation-record.v1
1906.04214 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:28:20.653361Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T06:35:28.002346Z

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 aaf6e258-a4ca-4ae3-b8ba-e96775cb54e2 · inbound

Spectrally unstable nodes drive reliability failures in graph learning cites this paper.

Spectrally unstable nodes drive reliability failures in graph learning Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:35:28.006837Z

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 f954aa37-de91-4e9d-af3d-38be6d007e47 · inbound

Robust Learning on Noisy Graphs via Latent Space Constraints with External Knowledge cites this paper.

Robust Learning on Noisy Graphs via Latent Space Constraints with External Knowledge Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T19:28:20.653361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c95af20-b6b4-4b05-9ed6-f8ebdcc6f1f0 · inbound

EvA: Evolutionary Attacks on Graphs cites this paper.

EvA: Evolutionary Attacks on Graphs Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-06T18:30:54.692882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Unifying Adversarial Perturbation for Graph Neural Networks cites this paper.

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

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-05T13:44:10.181714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13408b42-116d-4ef6-9c24-3c83a34a4be6 · inbound

T2T-LA: A Topology-to-Topology LLM Agent for Graph Learning with Neither Feature Access nor Task Knowledge cites this paper.

T2T-LA: A Topology-to-Topology LLM Agent for Graph Learning with Neither Feature Access nor Task Knowledge Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-21T18:45:28.806441Z

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 1efbaff2-7077-434c-b43a-ca66cf71b1b2 · inbound

TopFeaRe: Locating Critical State of Adversarial Resilience for Graphs Regarding Topology-Feature Entanglement cites this paper.

TopFeaRe: Locating Critical State of Adversarial Resilience for Graphs Regarding Topology-Feature Entanglement Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:30:26.668604Z

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 43f65323-492a-45ac-b03c-66fe7a477848 · inbound

Attacking Graph Foundation Models Through Their Shared Representation cites this paper.

Attacking Graph Foundation Models Through Their Shared Representation Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T15:05:33.879437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.