Paper Citation Record · LEDGER

A Simple and Scalable Graph Neural Network for Large Directed Graphs

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2306.08274.

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

pith.paper-citation-record.v1
2306.08274 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:38:35.433422Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:27:09.769959Z

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 5f1047ea-3a67-4f61-9489-02e96484f6ab · inbound

Towards Data-centric Machine Learning on Directed Graphs: a Survey cites this paper.

Towards Data-centric Machine Learning on Directed Graphs: a Survey A Simple and Scalable Graph Neural Network for Large Directed Graphs

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-12T10:46:14.581901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2c9cca8-df62-4da8-877b-231b8dfa2401 · inbound

Toward Effective Digraph Representation Learning: A Magnetic Adaptive Propagation based Approach cites this paper.

Toward Effective Digraph Representation Learning: A Magnetic Adaptive Propagation based Approach A Simple and Scalable Graph Neural Network for Large Directed Graphs

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T18:01:34.803055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa4c761a-6e50-448c-b07a-25c1ad7154ad · inbound

Toward Data-centric Directed Graph Learning: An Entropy-driven Approach cites this paper.

Toward Data-centric Directed Graph Learning: An Entropy-driven Approach A Simple and Scalable Graph Neural Network for Large Directed Graphs

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T04:38:35.433422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d1e604d-6975-4383-9776-ccaa2557ba05 · inbound

Toward General Digraph Contrastive Learning: A Dual Spatial Perspective cites this paper.

Toward General Digraph Contrastive Learning: A Dual Spatial Perspective A Simple and Scalable Graph Neural Network for Large Directed Graphs

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T09:18:29.549961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 428db860-6906-4944-b436-e27723635b55 · inbound

Graph Neural Network leveraging Higher-order Class Label Connectivity for Heterophilous Graphs cites this paper.

Graph Neural Network leveraging Higher-order Class Label Connectivity for Heterophilous Graphs A Simple and Scalable Graph Neural Network for Large Directed Graphs

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:27:09.771581Z

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.