Paper Citation Record · LEDGER

Descriptors for Machine Learning Model of Generalized Force Field in Condensed Matter Systems

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2201.00798.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2201.00798 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:53:35.127771Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-12T08:51:25.189448Z

Reference resolution

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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 bc71340b-7d90-4463-b3a5-e518075923a3 · inbound

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets cites this paper.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Descriptors for Machine Learning Model of Generalized Force Field in Condensed Matter Systems

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T05:53:35.127771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08ccc9a0-c2c2-46ff-8dba-4913239af2c0 · inbound

Echo State network for coarsening dynamics of charge density waves cites this paper.

Echo State network for coarsening dynamics of charge density waves Descriptors for Machine Learning Model of Generalized Force Field in Condensed Matter Systems

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T14:29:53.791421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd8aec3b-585f-44b4-85f0-1b7209582ae6 · inbound

Enhanced coarsening of charge density waves induced by electron correlation: Machine-learning enabled large-scale dynamical simulations cites this paper.

Enhanced coarsening of charge density waves induced by electron correlation: Machine-learning enabled large-scale dynamical simulations Descriptors for Machine Learning Model of Generalized Force Field in Condensed Matter Systems

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-10T23:08:35.391369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdb5e760-def4-4005-a1e3-cccc7fc7df58 · inbound

Machine Learning Force-Field Approach for Itinerant Electron Magnets cites this paper.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Descriptors for Machine Learning Model of Generalized Force Field in Condensed Matter Systems

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T21:11:19.716497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 434f9eb1-5333-412b-8af7-6ac5dd6e85f7 · inbound

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems cites this paper.

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems Descriptors for Machine Learning Model of Generalized Force Field in Condensed Matter Systems

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:16:00.875855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 24cc6f52-13d5-41c5-b425-b0c56e68b24f · inbound

Graph Neural Networks in the Wilson Loop Representation of Abelian Lattice Gauge Theories cites this paper.

Graph Neural Networks in the Wilson Loop Representation of Abelian Lattice Gauge Theories Descriptors for Machine Learning Model of Generalized Force Field in Condensed Matter Systems

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:51:25.192030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 218447a1-0cbe-4368-a567-b8f8a00879b8 · inbound

Graph Neural Network Force Fields for Spin Dynamics in Metallic Magnets cites this paper.

Graph Neural Network Force Fields for Spin Dynamics in Metallic Magnets Descriptors for Machine Learning Model of Generalized Force Field in Condensed Matter Systems

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-31T04:19:35.789584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.