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Paper Citation Record · LEDGER

Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1810.02244.

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

pith.paper-citation-record.v1
1810.02244 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:51:42.076234Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T18:39:48.966803Z

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 f45618de-bb96-4ed5-99a8-40908b797b65 · inbound

Spectral-based Graph Convolutional Network for Directed Graphs cites this paper.

Spectral-based Graph Convolutional Network for Directed Graphs Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-24T18:39:48.970198Z

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=2026-05-24T18:37:53.827824Z digest=sha256:e99ba9e477dc6a724badad7e7d34cc31040b18767446ee174ce558f383541384

Observation 87af82da-2202-4bd7-aaab-0c5f0d2dc862 · inbound

An AI Approach for Learning the Spectrum of the Laplace-Beltrami Operator cites this paper.

An AI Approach for Learning the Spectrum of the Laplace-Beltrami Operator Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T18:51:42.076234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:51:42.076234Z digest=sha256:0e6c53e4df44fa6e5fd121ebbf5f535a7204b6e88ebae6a48742db7c5c04a054

Observation 17bc8864-2010-4dff-9874-18f99b7f460f · inbound

Structured Spectral Graph Learning for Anomaly Classification in 3D Chest CT Scans cites this paper.

Structured Spectral Graph Learning for Anomaly Classification in 3D Chest CT Scans Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T05:58:27.861113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:58:27.861113Z digest=sha256:6e0b40b9e5754cdc8b75a91dda3dbc5e1dcdb0384d3f525a1e929ca2cde922dc

Observation 129e7654-b81d-4835-b1b4-846a6edda22f · inbound

Structured Spectral Graph Representation Learning for Multi-label Abnormality Analysis from 3D CT Scans cites this paper.

Structured Spectral Graph Representation Learning for Multi-label Abnormality Analysis from 3D CT Scans Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-04T10:20:01.579056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T10:20:01.579056Z digest=sha256:ef6249f85b4659671afa61bc0cc073a9842cd55c3ae04cd2d32b1161e59ce5f0

Observation 2144bd30-ecd1-459e-bf87-47231d54f10d · inbound

NSPOD: Accelerating Krylov solvers via DeepONet-learned POD subspaces cites this paper.

NSPOD: Accelerating Krylov solvers via DeepONet-learned POD subspaces Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:50:57.756969Z

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=2026-05-11T02:11:00.389145Z digest=sha256:07072369c0c7a684edcbb3183c155f7a77ce7c4c85d83b9785a488098a94a95b

Observation 32409c31-f75e-43e5-bc3b-2283aa92547f · inbound

NSPOD: Accelerating Krylov solvers via DeepONet-learned POD subspaces cites this paper.

NSPOD: Accelerating Krylov solvers via DeepONet-learned POD subspaces Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:46:36.977368Z

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=2026-05-12T04:00:14.645983Z digest=sha256:34f0df5904464db19012926a0ea942b72af00ee59317d3d8745b57ecad418d22