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Paper Citation Record · LEDGER

Adversarial Attack and Defense on Graph Data: A Survey

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1812.10528.

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

pith.paper-citation-record.v1
1812.10528 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T01:03:51.575455Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T12:19:27.070536Z

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 2650f4e0-7683-434e-82cb-b1448e9a4452 · inbound

Graph Neural Networks for Graphs with Heterophily: A Survey cites this paper.

Graph Neural Networks for Graphs with Heterophily: A Survey Adversarial Attack and Defense on Graph Data: A Survey

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-24T12:19:27.074227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-24T12:16:28.254450Z digest=sha256:ace962a7796953590a0a53b1f0cf9849d40541b85a151adb61083625f0654949

Observation c90b5d0c-6882-4769-8ae2-76ae27aefffb · inbound

Learning Causality for Modern Machine Learning cites this paper.

Learning Causality for Modern Machine Learning Adversarial Attack and Defense on Graph Data: A Survey

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T01:03:51.575455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:03:51.575455Z digest=sha256:1f6e543a5ba021c749a157cd6572cc06bed88ebb5ec4e9f7049d481d28c4f6e1

Observation 7f2a23f2-0286-4951-8463-bb50f3700ad5 · inbound

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors cites this paper.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Adversarial Attack and Defense on Graph Data: A Survey

Reference 118

Resolution
unresolved
no resolver link, observed 2026-07-31T04:39:47.215726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T04:39:47.215726Z digest=sha256:72d03dc90df077291e296287515258c9137953dcb847b3c7c2c86c7b2400a564