Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Electrostatic interactions in atomistic and machine-learned potentials for polar materials
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2412.01642.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:40:55.134157Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T16:14:06.835630Z
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 2d1a4173-789b-466f-b984-40f8538e8e27 · inbound
Efficient local atomic cluster expansion for BaTiO$_3$ close to equilibrium cites this paper.
Efficient local atomic cluster expansion for BaTiO$_3$ close to equilibrium Electrostatic interactions in atomistic and machine-learned potentials for polar materials
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:40:55.134157Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c5e68233-2652-4fda-9aed-e1b2441c8fe1 · inbound
Machine Learning the Energetics of Electrified Solid/Liquid Interfaces cites this paper.
Machine Learning the Energetics of Electrified Solid/Liquid Interfaces Electrostatic interactions in atomistic and machine-learned potentials for polar materials
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:12:56.537782Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ae86c640-2c39-4de9-bd6a-e9c81cc06962 · 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 Electrostatic interactions in atomistic and machine-learned potentials for polar materials
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T16:14:06.901792Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.