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Paper Citation Record · LEDGER

PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2010.05788.

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

pith.paper-citation-record.v1
2010.05788 v1

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 2026-08-22T06:32:14.747728+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:50:47.589875Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T13:43:19.549203Z

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 599f2798-b721-4dbc-9349-5e55e36c90c1 · inbound

Explaining Vision GNNs: A Semantic and Visual Analysis of Graph-based Image Classification cites this paper.

Explaining Vision GNNs: A Semantic and Visual Analysis of Graph-based Image Classification PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-16T05:50:47.589875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:50:47.589875Z digest=sha256:8687eb320335ac996c0e736c08732d9cc6708462d362fd99cb1dd4b4ff128fee

Observation ca3d2d52-e734-4328-b106-bb31e1e148af · inbound

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation cites this paper.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-05T16:10:53.501544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:10:53.501544Z digest=sha256:b6a63380436913ad501614a5930ab135e37e98c56de91458edd9dbafeb0ade7e

Observation 0d4e2264-5717-4bc3-a41a-0b8317de142d · inbound

UNR-Explainer: Counterfactual Explanations for Unsupervised Node Representation Learning Models cites this paper.

UNR-Explainer: Counterfactual Explanations for Unsupervised Node Representation Learning Models PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-20T13:43:19.550637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-20T13:41:33.408322Z digest=sha256:c8b9ad3620616e6645169f5f471e13a3a0a38930f33ba2b4959a7fe50c49b670