Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards Neural Scaling Laws on Graphs
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.02054.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T04:39:47.078535Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T04:52:17.447025Z
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 9872eca1-0d41-4518-9a90-8dfa01256067 · inbound
Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks cites this paper.
Towards characterizing dark matter subhalo perturbations in stellar streams with graph neural networks Towards Neural Scaling Laws on Graphs
Reference 79
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T04:39:47.078535Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6ad1204f-04b0-4268-bae1-4bf0d17431e3 · inbound
Progressive Scaling Visual Object Tracking cites this paper.
Progressive Scaling Visual Object Tracking Towards Neural Scaling Laws on Graphs
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:11:09.438355Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 407dea3e-1bec-4c18-9d76-0c289c1b78c7 · inbound
SAGE: A Self-Evolving Agentic Graph-Memory Engine for Structure-Aware Associative Memory cites this paper.
SAGE: A Self-Evolving Agentic Graph-Memory Engine for Structure-Aware Associative Memory Towards Neural Scaling Laws on Graphs
Reference 86
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T04:52:17.448581Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.