Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Machine learning dynamics of phase separation in correlated electron magnets
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2006.04205.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T05:53:35.385544Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T09:16:00.895751Z
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 b8eb76b2-6d62-4b0f-80a5-e9397b9ad7f6 · 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 Machine learning dynamics of phase separation in correlated electron magnets
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T05:53:35.385544Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4c6380c4-48ba-4db5-9889-4585189c7f52 · inbound
Echo State network for coarsening dynamics of charge density waves cites this paper.
Echo State network for coarsening dynamics of charge density waves Machine learning dynamics of phase separation in correlated electron magnets
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:29:53.783687Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 716fbd34-c266-47a9-ac69-8c38212ea44c · 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 Machine learning dynamics of phase separation in correlated electron magnets
Reference 70
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T23:08:35.407468Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 34d51ef9-b8bd-412b-aa70-e333f740005b · inbound
Machine Learning Force-Field Approach for Itinerant Electron Magnets cites this paper.
Machine Learning Force-Field Approach for Itinerant Electron Magnets Machine learning dynamics of phase separation in correlated electron magnets
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:11:19.708079Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ddeb5dfb-1bea-4fea-a6cc-473c406dca2b · 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 Machine learning dynamics of phase separation in correlated electron magnets
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:16:00.898301Z
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.