Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Extending the RANGE of Graph Neural Networks: Relaying Attention Nodes for Global Encoding
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.13797.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T21:05:47.563731Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T16:14:06.454198Z
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 e455056b-a736-4372-9145-8ed8d218dffe · inbound
Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration cites this paper.
Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration Extending the RANGE of Graph Neural Networks: Relaying Attention Nodes for Global Encoding
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T21:05:47.563731Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5374e08b-8ec9-47d4-b748-77b1785c8d0c · inbound
chemtrain-deploy: A parallel and scalable framework for machine learning potentials in million-atom MD simulations cites this paper.
chemtrain-deploy: A parallel and scalable framework for machine learning potentials in million-atom MD simulations Extending the RANGE of Graph Neural Networks: Relaying Attention Nodes for Global Encoding
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:55:21.568947Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 55e57eef-7726-4cb9-bd41-924989ce6cf5 · inbound
A universal augmentation framework for long-range electrostatics in machine learning interatomic potentials cites this paper.
A universal augmentation framework for long-range electrostatics in machine learning interatomic potentials Extending the RANGE of Graph Neural Networks: Relaying Attention Nodes for Global Encoding
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T16:14:06.552304Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.