Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Accelerating Molecular Graph Neural Networks via Knowledge Distillation
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.14818.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:18:33.656322Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-08T19:39:23.692836Z
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 972568b2-5087-48fe-b8e1-16a55d31f9d9 · inbound
Towards Fast, Specialized Machine Learning Force Fields: Distilling Foundation Models via Energy Hessians cites this paper.
Towards Fast, Specialized Machine Learning Force Fields: Distilling Foundation Models via Energy Hessians Accelerating Molecular Graph Neural Networks via Knowledge Distillation
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:18:33.656322Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation afc31783-e810-4bd0-8ba2-550a18730788 · 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 Accelerating Molecular Graph Neural Networks via Knowledge Distillation
Reference 2022
- Resolution
- verified exact
- local_arxiv, observed 2026-08-08T19:39:23.697111Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.