Paper Citation Record · LEDGER

Developing a Neural Network Machine Learning Interatomic Potential for Molecular Dynamics Simulations of La-Si-P Systems

As of 8 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 0 inbound Pith citation observations for arXiv:2506.08339.

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

pith.paper-citation-record.v1
2506.08339 v1

Coverage vector

measured 4 of 4 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:18:58.728511Z

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

4 of 4 outbound references displayed

verified exact0
verified fuzzy2
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4910e48b-63b2-4c2e-b5f0-b13fa56c1bfe · outbound

This paper cites universal.

Developing a Neural Network Machine Learning Interatomic Potential for Molecular Dynamics Simulations of La-Si-P Systems universal

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:59.710098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ce653026-f294-4622-a112-2ff769cb8770 · outbound

This paper cites an unresolved cited work.

Developing a Neural Network Machine Learning Interatomic Potential for Molecular Dynamics Simulations of La-Si-P Systems Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:18:59.386823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f6158dfc-324d-456b-8a47-ceabf20dda1c · outbound

This paper cites MatterSim: A Deep Learning Atomistic Model Across Elements, Temperatures and Pressures.

Developing a Neural Network Machine Learning Interatomic Potential for Molecular Dynamics Simulations of La-Si-P Systems MatterSim: A Deep Learning Atomistic Model Across Elements, Temperatures and Pressures

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T05:18:58.595626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b567466d-4f2b-4ccf-9540-f8d7d3f7197d · outbound

This paper cites Kresse, J.

Developing a Neural Network Machine Learning Interatomic Potential for Molecular Dynamics Simulations of La-Si-P Systems Kresse, J

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:59.043794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

No inbound Pith citation observations are available.