Paper Citation Record · LEDGER

A Survey on Explainability of Graph Neural Networks

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2306.01958.

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

pith.paper-citation-record.v1
2306.01958 v1

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 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:48:25.076911Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T11:04:22.218066Z

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 a9d2ade4-7353-4b2f-9424-cccfd96db7ef · inbound

Explaining the Explainers in Graph Neural Networks: a Comparative Study cites this paper.

Explaining the Explainers in Graph Neural Networks: a Comparative Study A Survey on Explainability of Graph Neural Networks

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-24T11:04:22.221403Z

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.

Observation af262ff7-dfcb-4b74-b270-755957206c45 · inbound

Discovering robust biomarkers of psychiatric disorders from resting-state functional MRI via graph neural networks: A systematic review cites this paper.

Discovering robust biomarkers of psychiatric disorders from resting-state functional MRI via graph neural networks: A systematic review A Survey on Explainability of Graph Neural Networks

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-05-24T01:13:42.945842Z

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.

Observation 0059531a-75f3-4924-8e8b-b167bf82543d · inbound

xAI-Drop: Don't Use What You Cannot Explain cites this paper.

xAI-Drop: Don't Use What You Cannot Explain A Survey on Explainability of Graph Neural Networks

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-23T23:03:34.680793Z

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.

Observation ddff3218-a458-4f59-93cc-43f7a958fea8 · inbound

A method for the systematic generation of graph XAI benchmarks via Weisfeiler-Leman coloring cites this paper.

A method for the systematic generation of graph XAI benchmarks via Weisfeiler-Leman coloring A Survey on Explainability of Graph Neural Networks

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-22T13:51:37.462630Z

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.

Observation f8a10380-9099-4756-b333-934f9dd8d662 · inbound

Geometric deep learning assists protein engineering. Opportunities and Challenges cites this paper.

Geometric deep learning assists protein engineering. Opportunities and Challenges A Survey on Explainability of Graph Neural Networks

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:25.076911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 043200fe-8176-4fe9-b25d-ca2ab03e2cf2 · inbound

NAEx: A Plug-and-Play Framework for Explaining Network Alignment cites this paper.

NAEx: A Plug-and-Play Framework for Explaining Network Alignment A Survey on Explainability of Graph Neural Networks

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T01:07:31.965679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecae54f0-e0d9-4a20-87db-1e1816ce0447 · inbound

LLM Agents Make Collective Belief Dynamics Programmable: Challenges and Research Directions cites this paper.

LLM Agents Make Collective Belief Dynamics Programmable: Challenges and Research Directions A Survey on Explainability of Graph Neural Networks

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-20T04:38:04.629044Z

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.