Paper Citation Record · LEDGER

Optimal Transport Graph Neural Networks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2006.04804.

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

pith.paper-citation-record.v1
2006.04804 v6

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

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:52:18.895251Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T12:53:26.614858Z

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 ca1ee9b3-62b2-45db-ac7b-162687ae8825 · inbound

Resistance Distance and Linearized Optimal Transport on Graphs cites this paper.

Resistance Distance and Linearized Optimal Transport on Graphs Optimal Transport Graph Neural Networks

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-24T02:13:44.975869Z

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.

Observation 504f9740-0fa5-48fa-93cb-0bc23c99c603 · inbound

Gradual Domain Adaptation for Graph Learning cites this paper.

Gradual Domain Adaptation for Graph Learning Optimal Transport Graph Neural Networks

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:42:33.523577Z

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.

Observation db6cb3c2-adcb-4024-8bf3-46ccbd4dd013 · inbound

Graph Neural Network Approach to Predicting Magnetization in Quasi-One-Dimensional Ising Systems cites this paper.

Graph Neural Network Approach to Predicting Magnetization in Quasi-One-Dimensional Ising Systems Optimal Transport Graph Neural Networks

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T14:52:18.895251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0515adca-b01b-4950-a045-0ce36c82ef77 · inbound

DiagramRAG: A Lightweight Framework to Retrieve Scientific Diagram for Figure Generation cites this paper.

DiagramRAG: A Lightweight Framework to Retrieve Scientific Diagram for Figure Generation Optimal Transport Graph Neural Networks

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-06-29T12:53:26.616326Z

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.