Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
On Measuring Long-Range Interactions in Graph Neural Networks
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2506.05971.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-07T21:18:22.537302Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-07T21:24:09.317530Z
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 4224a5f8-bce7-4287-99ba-0a9ea40d6af7 · 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 Measuring Long-Range Interactions in Graph Neural Networks
Reference 107
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T19:37:19.122296Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5ee48e55-76a4-4702-912d-c35ba9eeec97 · inbound
Ramanujan Graph Rewiring with Non Negative Resistance Curvature cites this paper.
Ramanujan Graph Rewiring with Non Negative Resistance Curvature On Measuring Long-Range Interactions in Graph Neural Networks
Reference 8
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T06:29:37.549795Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a9a0a1dd-39e3-49f2-9e37-e6fc32d4feba · inbound
GeoFlow: Geo-Aware Modeling of Inter-Area Relationships in Origin-Destination Flow Prediction and Generation cites this paper.
GeoFlow: Geo-Aware Modeling of Inter-Area Relationships in Origin-Destination Flow Prediction and Generation On Measuring Long-Range Interactions in Graph Neural Networks
Reference 35
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-07T21:24:09.324573Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.