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Paper Citation Record · LEDGER

Non-convolutional Graph Neural Networks

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.00165.

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

pith.paper-citation-record.v1
2408.00165 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:44:25.849023Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T19:33:06.094163Z

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 f089c6fb-a157-49af-995b-ae217d0a7b06 · inbound

Graph Spectral Filtering with Chebyshev Interpolation for Recommendation cites this paper.

Graph Spectral Filtering with Chebyshev Interpolation for Recommendation Non-convolutional Graph Neural Networks

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-16T04:44:25.849023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:44:25.849023Z digest=sha256:91b1613a17ef0faab615e98a7d6bf8cdf5b7f62f3fec9101b7c057c1882855b7

Observation 4466eb75-ee9c-4953-9b82-099843055ef6 · inbound

CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning cites this paper.

CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning Non-convolutional Graph Neural Networks

Reference 73

Resolution
metadata mismatch
local_arxiv, observed 2026-08-15T19:33:06.100396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T19:33:05.481360Z digest=sha256:602ccc062421b8b41ea788517e040e5bb19909e65fd700ae161f936f32583586