Paper Citation Record · LEDGER

The transformative capability of quantum-accurate machine learning interatomic potentials

As of 8 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2506.02328.

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

pith.paper-citation-record.v1
2506.02328 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:30:25.837625Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

19 of 19 outbound references displayed

verified exact9
verified fuzzy3
unresolved5
parse uncertain0
malformed identifier2
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation badff150-9b1f-4468-8bc8-b3ae9cf0ae8f · outbound

This paper cites Extreme Metasta- bility of Diamond and its Transformation to the BC8 Post-Diamond Phase of Carbon.

The transformative capability of quantum-accurate machine learning interatomic potentials Extreme Metasta- bility of Diamond and its Transformation to the BC8 Post-Diamond Phase of Carbon

Reference 1

Resolution: verified exact; doi, observed 2026-08-07T11:30:27.508912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1f82d8c3-4916-4f9e-adf9-19fc351ddac5 · outbound

This paper cites Phase diagram of carbon at high pressures and temperatures.

The transformative capability of quantum-accurate machine learning interatomic potentials Phase diagram of carbon at high pressures and temperatures

Reference 2

Resolution: verified exact; doi, observed 2026-08-07T11:30:27.292857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1977fc29-6eac-46a1-bac7-e77ed7234954 · outbound

This paper cites New empirical approach for the structure and energy of covalent systems.

The transformative capability of quantum-accurate machine learning interatomic potentials New empirical approach for the structure and energy of covalent systems

Reference 3

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Source-reported events for the cited work

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Observation 0f3bfe14-1558-47f9-8834-2b44c349082f · outbound

This paper cites Carbon under extreme conditions: Phase boundaries and electronic properties from first-principles theory.

The transformative capability of quantum-accurate machine learning interatomic potentials Carbon under extreme conditions: Phase boundaries and electronic properties from first-principles theory

Reference 4

Resolution: verified exact; doi, observed 2026-08-07T11:30:27.128726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4cba85cd-aa8a-48e0-bfaf-cd468a371acb · outbound

This paper cites Carbon under extreme conditions, a first principles theoretical study.

The transformative capability of quantum-accurate machine learning interatomic potentials Carbon under extreme conditions, a first principles theoretical study

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:30:28.380164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 09b059b4-81c6-4ea0-a1a1-d843ff109de1 · outbound

This paper cites Molecular dynamics of MgSiO3 perovskite at high pressures: Equation of state, structure, and melting transition.

The transformative capability of quantum-accurate machine learning interatomic potentials Molecular dynamics of MgSiO3 perovskite at high pressures: Equation of state, structure, and melting transition

Reference 6

Resolution: verified exact; doi, observed 2026-08-07T11:30:26.907760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b737ab61-d71a-4ad0-83ed-dbf435196691 · outbound

This paper cites Ab initio molecular dynamics simulations of melting in forsterite and MgSiO 3 perovskite.

The transformative capability of quantum-accurate machine learning interatomic potentials Ab initio molecular dynamics simulations of melting in forsterite and MgSiO 3 perovskite

Reference 7

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Source-reported events for the cited work

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Observation e7fbdc46-3e00-4aac-9b7a-9dfa1ab713ec · outbound

This paper cites Melting of Lithium Hydride under Pressure.

The transformative capability of quantum-accurate machine learning interatomic potentials Melting of Lithium Hydride under Pressure

Reference 8

Resolution: verified exact; doi, observed 2026-08-07T11:30:26.719179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2a4991c4-5802-4ba4-9d15-aab4efc7f7b1 · outbound

This paper cites First-principles multiphase equation of state of carbon under extreme conditions.

The transformative capability of quantum-accurate machine learning interatomic potentials First-principles multiphase equation of state of carbon under extreme conditions

Reference 9

Resolution: verified exact; doi, observed 2026-08-07T11:30:26.532662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8114acf0-fcd1-4dec-b051-1aeea5cb0935 · outbound

This paper cites Melting temperature of diamond at ultrahigh pressure.

The transformative capability of quantum-accurate machine learning interatomic potentials Melting temperature of diamond at ultrahigh pressure

Reference 10

Resolution: verified exact; doi, observed 2026-08-07T11:30:26.343276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f92096b7-ec7c-4ae3-b331-fd2e5b567171 · outbound

This paper cites Beyond Diamond: Seeking An Elusive Phase of Carbon.

The transformative capability of quantum-accurate machine learning interatomic potentials Beyond Diamond: Seeking An Elusive Phase of Carbon

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:30:27.983276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 17097bd8-6ba3-4d54-a7dc-07a585752293 · outbound

This paper cites Metastability of diamond ramp-compressed to 2 terapascals.

The transformative capability of quantum-accurate machine learning interatomic potentials Metastability of diamond ramp-compressed to 2 terapascals

Reference 12

Resolution: verified exact; doi, observed 2026-08-07T11:30:26.178792Z

Source-reported events for the cited work

correction dated 2022-04-21. Source: crossref record 10.1038/s41586-022-04751-9->10.1038/s41586-020-03140-4:correction, observed 2026-07-11T03:06:59.544001+00:00. This notice travels one citation hop only.

Observation 4d260399-d719-4ddd-b115-a785aa2ce166 · outbound

This paper cites Spectral neighbor analysis method for automated generation of quantum-accurate interatomic potentials.

The transformative capability of quantum-accurate machine learning interatomic potentials Spectral neighbor analysis method for automated generation of quantum-accurate interatomic potentials

Reference 13

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Source-reported events for the cited work

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Observation 75e9a03a-3bff-4e3a-a82f-eee02661849d · outbound

This paper cites Direct observation of strong momentum-dependent electron-phonon coupling in a metal.

The transformative capability of quantum-accurate machine learning interatomic potentials Direct observation of strong momentum-dependent electron-phonon coupling in a metal

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T11:30:25.402151Z

Source-reported events for the cited work

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Observation 34ff36c0-4012-4828-a082-38af40546cf9 · outbound

This paper cites Measuring the melting curve of iron at super-Earth core conditions.

The transformative capability of quantum-accurate machine learning interatomic potentials Measuring the melting curve of iron at super-Earth core conditions

Reference 15

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Source-reported events for the cited work

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Observation fbd3900c-79b9-4c9f-a035-bc48a72c726c · outbound

This paper cites Energy versus free-energy conservation in first- principles molecular dynamics.

The transformative capability of quantum-accurate machine learning interatomic potentials Energy versus free-energy conservation in first- principles molecular dynamics

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:30:27.634442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fc6e39ec-31d6-44a8-bcd7-55b6d4a68cfa · outbound

This paper cites Machine learning interatomic potential for simulations of carbon at extreme conditions.

The transformative capability of quantum-accurate machine learning interatomic potentials Machine learning interatomic potential for simulations of carbon at extreme conditions

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T11:30:25.663500Z

Source-reported events for the cited work

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Observation 590604eb-0b8f-4c70-bd3b-42f11126da44 · outbound

This paper cites Warm dense matter simulation via electron temperature dependent deep potential molecular dynamics.

The transformative capability of quantum-accurate machine learning interatomic potentials Warm dense matter simulation via electron temperature dependent deep potential molecular dynamics

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T11:30:25.738106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 987019cf-f9d4-4d10-9203-af2b45fa3de1 · outbound

This paper cites Shock Hugoniot calculations using on-the-fly machine learned force fields with ab initio accuracy.

The transformative capability of quantum-accurate machine learning interatomic potentials Shock Hugoniot calculations using on-the-fly machine learned force fields with ab initio accuracy

Reference 19

Resolution: verified exact; doi, observed 2026-08-07T11:30:26.001175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.