Pith. sign in

Paper Citation Record · LEDGER

DeePMD-kit v3: A Multiple-Backend Framework for Machine Learning Potentials

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.

pith.paper-citation-record.v1
2502.19161 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:53:29.026929Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T23:18:39.772673Z

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 747a6edb-7372-4df3-b2ef-34c3f8281d12 · inbound

LAMBench: A Benchmark for Large Atomistic Models cites this paper.

LAMBench: A Benchmark for Large Atomistic Models DeePMD-kit v3: A Multiple-Backend Framework for Machine Learning Potentials

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-16T05:53:29.026929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:53:29.026929Z digest=sha256:23b396e76746f5d3ded63d66522ee4daa8501d6b6297cc3f70dfcd60557357e5

Observation 05d1f981-e742-4b75-9a3e-c978a95336a7 · inbound

Uncovering coupled ionic-polaronic dynamics and interfacial enhancement in Li$_x$FePO$_4$ cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-06T19:26:35.631103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:26:35.631103Z digest=sha256:d811741455bbf3007833eae2b01cd1cc71ce9542140ab548bc5a6c1db9872254

Observation 94b7e32e-2517-4a4e-a4ac-e717610b8094 · inbound

AI-Driven Expansion and Application of the Alexandria Database cites this paper.

AI-Driven Expansion and Application of the Alexandria Database DeePMD-kit v3: A Multiple-Backend Framework for Machine Learning Potentials

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-16T23:18:39.774167Z

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.

source=pdf_text observed=2026-05-16T23:16:47.814591Z digest=sha256:f8098c07bb5fcaa767b8c3569cc3beb02a925a356461a7bde3267c1be516a6f2

Observation 370df236-0c45-44ec-b583-5f59ec18e789 · inbound

Data-Efficient Adaptation of DPA-4 Force Fields to DFT+U Energetics: A Case Study in NiO cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-16T00:31:29.981185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:31:29.981185Z digest=sha256:4b9821c530a67df30aa82b67f313bfce8bb98e59c5cc29b8934b20a0bc4a2596