Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2205.07308.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T13:19:10.595554Z
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
37
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 c51567b6-f4e8-4370-ab6f-23ff40d48678 · inbound
Flow Matters: Directional and Expressive GNNs for Heterophilic Graphs cites this paper.
Flow Matters: Directional and Expressive GNNs for Heterophilic Graphs Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:19:10.595554Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00424691-06b9-4bde-a607-6be79fe07b38 · inbound
Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks cites this paper.
Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
Reference 131
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T22:13:57.763815Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 3d75942f-9c15-4c7f-a759-5a34023f150f · inbound
Graph Transductive Sharpening: Leveraging Unlabeled Predictions in Node Classification cites this paper.
Graph Transductive Sharpening: Leveraging Unlabeled Predictions in Node Classification Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T08:34:05.442330Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.