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Paper Citation Record · LEDGER

On the Utilization of Unique Node Identifiers in Graph Neural Networks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.02271.

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

pith.paper-citation-record.v1
2411.02271 v2

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-30T23:40:06.676120Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T14:26:28.553735Z

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 2ee28ab5-5dfc-4e78-bf64-c4f9271d3eef · inbound

Feature Augmentation of GNNs for ILPs: Local Uniqueness Suffices cites this paper.

Feature Augmentation of GNNs for ILPs: Local Uniqueness Suffices On the Utilization of Unique Node Identifiers in Graph Neural Networks

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-18T14:26:28.557912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T14:23:46.287363Z digest=sha256:776085542b1c279cd0d889ac27681af03b81b3d70b6ab532f75f9a4a548a2043

Observation 529f5821-e9e8-4981-847d-1b82695dac18 · inbound

Universality and Approximation Rates of Graph Neural Networks with Random Features cites this paper.

Universality and Approximation Rates of Graph Neural Networks with Random Features On the Utilization of Unique Node Identifiers in Graph Neural Networks

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-07-30T23:40:06.676120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T23:40:06.676120Z digest=sha256:afbc1950c0413f1098271a174d702718538ec121047dbefbe03c6176753f3c29