Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2203.09697.
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 2026-08-08T19:39:23.491146Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
9
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 86ce1253-9e60-4160-ba74-e819d91163a1 · inbound
Teacher-student training improves accuracy and efficiency of machine learning interatomic potentials cites this paper.
Teacher-student training improves accuracy and efficiency of machine learning interatomic potentials Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:39:23.491146Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b52321f6-1ead-4002-8adf-4babbf5e0f2b · inbound
Distributed Equivariant Graph Neural Networks for Large-Scale Electronic Structure Prediction cites this paper.
Distributed Equivariant Graph Neural Networks for Large-Scale Electronic Structure Prediction Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:06:28.595961Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2c8898ef-8e27-40cd-97a9-69e054c496fd · inbound
The Ray Tracing Sampler: Bayesian Sampling of Neural Networks for Everyone cites this paper.
The Ray Tracing Sampler: Bayesian Sampling of Neural Networks for Everyone Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations
Reference 65
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-04T07:38:33.010286Z
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.