Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2502.19161.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
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 2026-08-16T05:53:29.026929Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T23:18:39.772673Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 747a6edb-7372-4df3-b2ef-34c3f8281d12 · inbound
LAMBench: A Benchmark for Large Atomistic Models DeePMD-kit v3: A Multiple-Backend Framework for Machine Learning Potentials
Reference 55
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 05d1f981-e742-4b75-9a3e-c978a95336a7 · inbound
Uncovering coupled ionic-polaronic dynamics and interfacial enhancement in Li$_x$FePO$_4$ DeePMD-kit v3: A Multiple-Backend Framework for Machine Learning Potentials
Reference 48
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 94b7e32e-2517-4a4e-a4ac-e717610b8094 · inbound
AI-Driven Expansion and Application of the Alexandria Database DeePMD-kit v3: A Multiple-Backend Framework for Machine Learning Potentials
Reference 21
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.
Observation 370df236-0c45-44ec-b583-5f59ec18e789 · inbound
Data-Efficient Adaptation of DPA-4 Force Fields to DFT+U Energetics: A Case Study in NiO DeePMD-kit v3: A Multiple-Backend Framework for Machine Learning Potentials
Reference 30
Source-reported events for the cited work
Unavailable: canonical work link unavailable.