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Paper Citation Record · LEDGER

Adversarial Attacks on Graph Neural Networks via Meta Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1902.08412.

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

pith.paper-citation-record.v1
1902.08412 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T15:52:48.760072Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T21:56:15.229684Z

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 5dabd66b-1844-44b9-a1dd-3b653d7d54e0 · 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 Adversarial Attacks on Graph Neural Networks via Meta Learning

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-04T15:52:48.760072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:52:48.760072Z digest=sha256:5abbfda509c63264511e7e81c5edd9855ec3996c6f1ff798faba2671875061c7

Observation ea405a3c-ebbf-4b4e-8645-db9225456673 · inbound

Community detection robustness of graph neural networks cites this paper.

Community detection robustness of graph neural networks Adversarial Attacks on Graph Neural Networks via Meta Learning

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-18T12:51:23.358326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T12:50:07.311967Z digest=sha256:07e9f8bdd501b3271df2322009f3fb88ee05e9a97bef29f62e5686246cfee355

Observation 2f620346-952f-4528-98ce-eb8dd22dba1b · 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 Adversarial Attacks on Graph Neural Networks via Meta Learning

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-21T18:45:28.783684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T18:45:01.748067Z digest=sha256:acb476a5d6fc512982c9af7b59a1eae273254ae4ad6860b6ebe3a58d99d2a559

Observation 4637112a-98f5-46c5-9ab7-45897db132fc · inbound

GJDNet: Robust Graph Neural Networks via Joint Disentangled Learning Against Adversarial Attacks cites this paper.

GJDNet: Robust Graph Neural Networks via Joint Disentangled Learning Against Adversarial Attacks Adversarial Attacks on Graph Neural Networks via Meta Learning

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-01T21:56:15.231549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T16:10:35.098172Z digest=sha256:fe2f4739c35311e46024d8ba40ce9ee93e8bbdcf50470230b2ce5a897a2f796c