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Paper Citation Record · LEDGER

Generalization and Representational Limits of Graph Neural Networks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2002.06157.

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

pith.paper-citation-record.v1
2002.06157 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 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:46:14.361412Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

54
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e63ebc80-222e-407d-a15e-fcc2c1176ef7 · inbound

Cosmology with Topological Deep Learning cites this paper.

Cosmology with Topological Deep Learning Generalization and Representational Limits of Graph Neural Networks

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T12:46:14.361412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:46:14.361412Z digest=sha256:1f07224bce7d3830e24112df78cd523fad68cc778597d8b39bf104ab63184579

Observation e46fa1e3-2ef7-4b62-bf3a-cff81292e211 · inbound

Probabilistic Graphical Model using Graph Neural Networks for Bayesian Inversion of Discrete Structural Component States cites this paper.

Probabilistic Graphical Model using Graph Neural Networks for Bayesian Inversion of Discrete Structural Component States Generalization and Representational Limits of Graph Neural Networks

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-08T23:49:28.178309Z

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.

source=pdf_text observed=2026-05-08T05:27:17.695647Z digest=sha256:3634219a72cc587c37b3ad3db2e9b2bf11082fe734428e82d6d669a988ed5b24

Observation 5e2f201f-2d69-4734-b3be-2f27d55ed547 · inbound

Neural Point-Forms cites this paper.

Neural Point-Forms Generalization and Representational Limits of Graph Neural Networks

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-19T15:02:36.619300Z

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.

source=pdf_text observed=2026-05-19T15:00:51.826915Z digest=sha256:61db61351f0f7e074323d03b5d693c7f99d467ba3b90b0445ac8c6fd85da3ae2