Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.01323.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T05:35:47.379447Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-09T10:09:58.179706Z
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 8e896593-1829-4865-8876-406486287dcb · inbound
One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs cites this paper.
One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T05:35:47.379447Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 55380cc1-2afa-4ea9-8d27-a359eb5ea672 · inbound
Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation cites this paper.
Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-08-09T10:09:58.184485Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.