Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
How Powerful are Spectral Graph Neural Networks
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2205.11172.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T10:38:15.937126Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T13:01:33.909652Z
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 e16872ea-5f22-489e-9d0e-ff55d67e9e4f · inbound
THeGCN: Temporal Heterophilic Graph Convolutional Network cites this paper.
THeGCN: Temporal Heterophilic Graph Convolutional Network How Powerful are Spectral Graph Neural Networks
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T10:38:15.937126Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 65450433-2fe8-4ab6-be13-e05df06dfe16 · inbound
Spectral Manifold Harmonization for Graph Imbalanced Regression cites this paper.
Spectral Manifold Harmonization for Graph Imbalanced Regression How Powerful are Spectral Graph Neural Networks
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:06:08.998691Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8cdfdaa3-15ba-4a31-b10e-97358a147fd9 · inbound
SPECTRA: Spectral Domain-Aware Graph Generation for Imbalanced Molecular Property Regression cites this paper.
SPECTRA: Spectral Domain-Aware Graph Generation for Imbalanced Molecular Property Regression How Powerful are Spectral Graph Neural Networks
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T13:01:33.913901Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.