Paper Citation Record · LEDGER

Feature Transportation Improves Graph Neural Networks

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2307.16092.

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

pith.paper-citation-record.v1
2307.16092 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:04:08.011950Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 444014f0-ed9a-439a-9931-733340a1ffc1 · inbound

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

Towards Data-centric Machine Learning on Directed Graphs: a Survey Feature Transportation Improves Graph Neural Networks

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T10:46:14.317895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29f7ea65-85c3-48fd-a2ae-3930ba45f87c · inbound

Resolving Oversmoothing with Opinion Dissensus cites this paper.

Resolving Oversmoothing with Opinion Dissensus Feature Transportation Improves Graph Neural Networks

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-09T21:29:28.073260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18148faf-fd0f-4f7a-814b-06bf6b1a1786 · inbound

What Can We Learn From MIMO Graph Convolutions? cites this paper.

What Can We Learn From MIMO Graph Convolutions? Feature Transportation Improves Graph Neural Networks

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T21:04:08.011950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de8df255-384e-4bca-8b5f-a98796227069 · inbound

Learning Dynamic Stability Landscapes in Synchronization Networks cites this paper.

Learning Dynamic Stability Landscapes in Synchronization Networks Feature Transportation Improves Graph Neural Networks

Reference 183

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:05:21.426587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.