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Paper Citation Record · LEDGER

Efficient Parallelization of Message Passing Neural Network Potentials for Large-scale Molecular Dynamics

As of 20 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2505.06711.

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

pith.paper-citation-record.v1
2505.06711 v3

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:42:48.165898Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

18 of 18 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved15
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b979d20a-16cc-41c6-8c85-c27cfc82b786 · outbound

This paper cites an unresolved cited work.

Efficient Parallelization of Message Passing Neural Network Potentials for Large-scale Molecular Dynamics Unresolved cited work

Reference 1

Resolution
verified exact
doi, observed 2026-08-15T22:42:48.443161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 5b4ab4f2-406a-4049-9d9b-3f780367f3e1 · outbound

This paper cites Generalized Gradient Approximation Made Simple.

Efficient Parallelization of Message Passing Neural Network Potentials for Large-scale Molecular Dynamics Generalized Gradient Approximation Made Simple

Reference 12

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Observation 8d12d02a-a69a-49ba-93cd-e321116d9396 · outbound

This paper cites So3krates: Equivariant attention for interactions on arbitrary length-scales in molecular systems.

Efficient Parallelization of Message Passing Neural Network Potentials for Large-scale Molecular Dynamics So3krates: Equivariant attention for interactions on arbitrary length-scales in molecular systems

Reference 27

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Observation ff3f5015-8ab3-4730-aba2-ef8dbbba5095 · outbound

This paper cites Geometric and Physical Quantities Improve E(3) Equivariant Message Passing.

Efficient Parallelization of Message Passing Neural Network Potentials for Large-scale Molecular Dynamics Geometric and Physical Quantities Improve E(3) Equivariant Message Passing

Reference 56

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Observation 2b4963c0-9cb0-41be-9835-a580f65f4138 · outbound

This paper cites (2) Skinner, L.

Efficient Parallelization of Message Passing Neural Network Potentials for Large-scale Molecular Dynamics (2) Skinner, L

Reference 137

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Observation c0072895-e1b7-4b53-a169-8ff0c9aa5daf · outbound

This paper cites (62) Grimme, S.; Antony, J.; Ehrlich, S.; Krieg, H.

Efficient Parallelization of Message Passing Neural Network Potentials for Large-scale Molecular Dynamics (62) Grimme, S.; Antony, J.; Ehrlich, S.; Krieg, H

Reference 890

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Observation 75d86acf-7d9d-437f-862b-cddca6c35159 · outbound

This paper cites A foundation model for atomistic materials chemistry.

Efficient Parallelization of Message Passing Neural Network Potentials for Large-scale Molecular Dynamics A foundation model for atomistic materials chemistry

Reference 1115

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Unavailable: canonical work link unavailable.

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Observation 9db035bb-7fdf-45cc-890c-562d8cc1d747 · outbound

This paper cites (7) Yao, K.; Herr, J.

Efficient Parallelization of Message Passing Neural Network Potentials for Large-scale Molecular Dynamics (7) Yao, K.; Herr, J

Reference 1173

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d8a81083-9f18-4290-88f9-8f7a6243fe04 · outbound

This paper cites (41) Lu, D.; Wang, H.; Chen, M.; Lin, L.; Car, R.; E, W.; Jia, W.; Zhang, L.

Efficient Parallelization of Message Passing Neural Network Potentials for Large-scale Molecular Dynamics (41) Lu, D.; Wang, H.; Chen, M.; Lin, L.; Car, R.; E, W.; Jia, W.; Zhang, L

Reference 1840

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Observation 848adf9e-d2ed-4120-9a2e-fe9986fdeb72 · outbound

This paper cites (26) Han, B.; Yu, K.

Efficient Parallelization of Message Passing Neural Network Potentials for Large-scale Molecular Dynamics (26) Han, B.; Yu, K

Reference 2097

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1f663385-3d72-45fd-acdc-4d821eccef0e · outbound

This paper cites (8) Schütt, K.

Efficient Parallelization of Message Passing Neural Network Potentials for Large-scale Molecular Dynamics (8) Schütt, K

Reference 2269

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Observation e89a1a02-88ef-495f-bbb9-a0d4252d2dba · outbound

This paper cites Fine-tuning foundation models of materials interatomic potentials with frozen transfer learning.

Efficient Parallelization of Message Passing Neural Network Potentials for Large-scale Molecular Dynamics Fine-tuning foundation models of materials interatomic potentials with frozen transfer learning

Reference 2379

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6e0d9d65-db01-4697-8b92-60750ffb9a2f · outbound

This paper cites (12) Vargas - Hernández, R.

Efficient Parallelization of Message Passing Neural Network Potentials for Large-scale Molecular Dynamics (12) Vargas - Hernández, R

Reference 3693

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unresolved
no resolver link, observed 2026-08-15T22:42:48.124030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation cf6a3566-f8fb-4469-8e02-8b1b36daf31c · outbound

This paper cites (33) Pinheiro, M.; Ge, F.; Ferré, N.; Dral, P.

Efficient Parallelization of Message Passing Neural Network Potentials for Large-scale Molecular Dynamics (33) Pinheiro, M.; Ge, F.; Ferré, N.; Dral, P

Reference 3834

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Observation a0fe9aea-ec85-47b2-a86f-dc90651dd407 · outbound

This paper cites (49) Zhang, Y.; Hu, C.; Jiang, B.

Efficient Parallelization of Message Passing Neural Network Potentials for Large-scale Molecular Dynamics (49) Zhang, Y.; Hu, C.; Jiang, B

Reference 4868

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Observation be0aefe8-74f0-4152-bf9b-ffcc5a5f3544 · outbound

This paper cites (50) Thompson, A.

Efficient Parallelization of Message Passing Neural Network Potentials for Large-scale Molecular Dynamics (50) Thompson, A

Reference 4967

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Observation ac0c3ada-085f-446f-9269-384e0404ec68 · outbound

This paper cites (15) Unke, O.

Efficient Parallelization of Message Passing Neural Network Potentials for Large-scale Molecular Dynamics (15) Unke, O

Reference 5421

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation b94697e5-0783-4b97-b6b6-117f4f2e3190 · outbound

This paper cites (46) Behler, J.; Csányi, G.

Efficient Parallelization of Message Passing Neural Network Potentials for Large-scale Molecular Dynamics (46) Behler, J.; Csányi, G

Reference 7607

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Pith citing papers

No inbound Pith citation observations are available.