Pith. sign in

Paper Citation Record · LEDGER

Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2202.03580.

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

pith.paper-citation-record.v1
2202.03580 v5

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 2026-08-10T20:28:50.484777Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T01:08:47.482258Z

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 521a088f-71e5-4342-870c-56975571a4c7 · inbound

Spatio-Temporal Graph Convolutional Networks: Optimised Temporal Architecture cites this paper.

Spatio-Temporal Graph Convolutional Networks: Optimised Temporal Architecture Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T20:28:50.484777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:28:50.484777Z digest=sha256:5626220643e7d493560ed5be033c62173f8f5a38033fae96781dabea6f5834c3

Observation 4a997b06-bffb-4059-b4c2-e36c751e3bfe · inbound

KIGNet: Physics-Motivated Multi-Graph Representation Learning for Explainable Jet Tagging cites this paper.

KIGNet: Physics-Motivated Multi-Graph Representation Learning for Explainable Jet Tagging Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-17T01:08:47.485610Z

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=pdf_text observed=2026-05-17T01:05:39.461265Z digest=sha256:a89c73e700060f1f5c8d9f5021c8800282a4fa5b2a65c6af289f1e1601203a5d

Observation d23ece39-8038-43ac-bf23-aad100683146 · inbound

KIGNet: Physics-Motivated Multi-Graph Representation Learning for Explainable Jet Tagging cites this paper.

KIGNet: Physics-Motivated Multi-Graph Representation Learning for Explainable Jet Tagging Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-03T18:00:47.399768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:00:47.399768Z digest=sha256:34a3f5670e8a59e0a06311828d42fcc02b46950b93621033ca3b6feddfe3a058