Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2302.02941.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T10:19:57.968797Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T19:37:19.110495Z
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 2b5db35c-66f9-4c14-abf9-eb5fd93aa00c · inbound
Structured Spectral Graph Representation Learning for Multi-label Abnormality Analysis from 3D CT Scans cites this paper.
Structured Spectral Graph Representation Learning for Multi-label Abnormality Analysis from 3D CT Scans On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T10:19:57.968797Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c543aa86-ff78-4ef3-a596-547edd0c3371 · inbound
Six Open Questions in Machine-Learned Interatomic Potential Foundation Models cites this paper.
Six Open Questions in Machine-Learned Interatomic Potential Foundation Models On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology
Reference 108
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T19:37:19.111779Z
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.