Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Over-Squashing in Graph Neural Networks: A Comprehensive survey
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2308.15568.
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 2026-08-09T18:13:53.853731Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-09T18:13:54.478069Z
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 cfdd21ec-90b4-4f87-bff5-19c27725502f · inbound
DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale cites this paper.
DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale Over-Squashing in Graph Neural Networks: A Comprehensive survey
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-08-09T18:13:54.492186Z
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.