Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learning charges and long-range interactions from energies and forces
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2412.15455.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T21:05:47.593529Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T16:14:06.257417Z
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 d81dff19-c240-4583-b5c7-f9af09052196 · 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 Learning charges and long-range interactions from energies and forces
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T21:05:47.593529Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0739db44-dee7-4033-b2b1-e32fef659567 · inbound
Fine-Tuning Universal Machine-Learned Interatomic Potentials: A Tutorial on Methods and Applications cites this paper.
Fine-Tuning Universal Machine-Learned Interatomic Potentials: A Tutorial on Methods and Applications Learning charges and long-range interactions from energies and forces
Reference 127
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:23:19.482942Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f697515d-0c43-4937-ba37-31d0556a8ea6 · 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 Learning charges and long-range interactions from energies and forces
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T16:14:06.337480Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.