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Paper Citation Record · LEDGER

Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations

As of 23 August 2026, this Paper Citation Record lists 92 of 92 outbound references and 0 inbound Pith citation observations for arXiv:2607.29158.

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

pith.paper-citation-record.v1
2607.29158 v1

Coverage vector

measured 92 of 92 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T12:40:01.223006Z

measured 92 of 92 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

92 of 92 outbound references displayed

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  • unresolved90
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a59f84ad-655b-4213-9671-0e65f1232d4a · outbound

This paper cites Karplus and J.

Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Karplus and J

Reference 1

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Observation d0475151-3caf-4b1e-bf52-e5182d305e74 · outbound

This paper cites an unresolved cited work.

Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Unresolved cited work

Reference 2

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Observation d7429d4b-cd70-4ed3-af43-ab9854532ff6 · outbound

This paper cites Gasteiger, J.

Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Gasteiger, J

Reference 3

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Observation 90914d6e-0c3f-45be-a026-d4a0e004bb56 · outbound

This paper cites Sch¨ utt, O.

Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Sch¨ utt, O

Reference 4

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Observation cdb8f716-836e-4c7c-8587-db74ae1ed536 · outbound

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Unresolved cited work

Reference 5

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Observation 48e72e3d-5e13-4496-b023-01e5f7943f47 · outbound

This paper cites Gasteiger, F.

Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Gasteiger, F

Reference 6

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Observation 924db063-eacf-4d14-84cc-e16d67047acc · outbound

This paper cites Liao and T.

Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Liao and T

Reference 7

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Observation 177e67a7-9dc4-4201-93c9-e730861b9ba4 · outbound

This paper cites ViSNet: an equivariant geometry-enhanced graph neural network with vector-scalar interactive message passing for molecules.

Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations ViSNet: an equivariant geometry-enhanced graph neural network with vector-scalar interactive message passing for molecules

Reference 8

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Observation e45c2d30-c1f2-4c7a-b18a-fc5c4ba44ca3 · outbound

This paper cites Batatia, D.

Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Batatia, D

Reference 9

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Observation bf31a057-940c-4ac8-913d-c752b0cbb800 · outbound

This paper cites Batzner, A.

Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Batzner, A

Reference 10

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Observation 9f184fc2-c68e-4de1-8260-88a6f9e44485 · outbound

This paper cites Musaelian, S.

Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Musaelian, S

Reference 11

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Unresolved cited work

Reference 12

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Observation c4c210be-2a7c-403f-81f5-c60b2dfa472e · outbound

This paper cites Chmiela, H.

Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Chmiela, H

Reference 13

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Observation fd6773d6-a487-4ce9-aa94-f071f9d893f1 · outbound

This paper cites Kabylda, J.

Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Kabylda, J

Reference 14

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Observation 6f3c6d42-80ff-4e1f-a046-22d9ab1ded6b · outbound

This paper cites MACE-OFF: Transferable Short Range Machine Learning Force Fields for Organic Molecules.

Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations MACE-OFF: Transferable Short Range Machine Learning Force Fields for Organic Molecules

Reference 15

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Unresolved cited work

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Observation bc92cd7b-1c72-46c3-a84d-7de6c98fe7a6 · outbound

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Unresolved cited work

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Observation 2ea97c01-1332-47a9-a024-fec205816cdf · outbound

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Unresolved cited work

Reference 18

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Observation 05473b6e-8ae8-416c-89bd-80a4d10962da · outbound

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Unresolved cited work

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Unresolved cited work

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Majewski, A

Reference 21

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Observation 2804cb24-65ac-4727-a73c-a154b1173eb7 · outbound

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Unresolved cited work

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Unresolved cited work

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Unresolved cited work

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Observation deba2822-7721-4027-8dca-77946bcd772b · outbound

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Simard, M

Reference 25

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Miller and M

Reference 26

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Unresolved cited work

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Winston and J

Reference 28

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Unresolved cited work

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Unresolved cited work

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Observation 1303a605-55cb-45cf-b3e8-9ba2fbc8c161 · outbound

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Haber and L

Reference 31

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Observation 79d6913f-75dc-4e45-8eef-fe11374bd193 · outbound

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Ruthotto and E

Reference 32

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Unresolved cited work

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Burger, L

Reference 34

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Force-Free Molecular Dynamics Through Autoregressive Equivariant Networks

Reference 35

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Unresolved cited work

Reference 36

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Observation a743e9e7-6aaa-42d0-a328-6423362c78bb · outbound

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Learning Hamiltonian Flow Maps: Mean Flow Consistency for Large-Timestep Molecular Dynamics

Reference 37

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Chmiela, A

Reference 38

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Observation 76f181b4-7f76-4d34-b26e-e7504eb39a55 · outbound

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations

Reference 39

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Observation e880723e-d1b1-48cb-931d-346d387f2079 · outbound

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Unresolved cited work

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Observation 7d9beb72-3fc1-4d51-9a1a-4ec7e9f7833c · outbound

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations GemNet-OC: Developing Graph Neural Networks for Large and Diverse Molecular Simulation Datasets

Reference 41

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Passaro and C

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Reference 43

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This paper cites Orb: A Fast, Scalable Neural Network Potential.

Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Orb: A Fast, Scalable Neural Network Potential

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Eissler, T

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Observation 0f76a95f-75f8-46bf-8895-7399f2bb16eb · outbound

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Reference 49

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Unresolved cited work

Reference 51

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Reference 52

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Reference 53

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Reference 54

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Unresolved cited work

Reference 55

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Sch¨ utt, P.-J

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Observation e6c6a890-b0af-4c84-9034-cb6d51a148c0 · outbound

This paper cites Grisafi, A.

Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Grisafi, A

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Observation d5386edf-f02a-482c-9efb-c9cd11497bdb · outbound

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Esders, T

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Chmiela, V

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Observation 2e575db1-eddb-4136-950b-e13a55d434d3 · outbound

This paper cites Kawaguchi, On the theory of implicit deep learning: Global convergence with implicit layers, inICML(2021).

Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Kawaguchi, On the theory of implicit deep learning: Global convergence with implicit layers, inICML(2021)

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Observation 8f1fd9ba-9332-4ee8-9657-07aefcb16f42 · outbound

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Reference 61

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Reference 62

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Better, Faster Fermionic Neural Networks

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Observation 58019959-4f95-4db8-b88c-456470f4a593 · outbound

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Hermann, Z

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Reference 65

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Observation 58c65466-16e0-4cf2-bb6b-db74f7bfb109 · outbound

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Song and J

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Observation c2ff3852-cf0f-4d6f-b140-ba8d93f90d0f · outbound

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Zhang, C

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Observation a203138d-53f4-4125-86eb-b3661b831a9d · outbound

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Lagrangian Neural Networks

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Observation c079bae6-9037-42de-a0ba-f4c55caff6f9 · outbound

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Greydanus, M

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Observation 19b19ef5-a755-4f3b-9010-0b71f1c5d831 · outbound

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Sohl-Dickstein, E

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Observation a53efc99-bf00-44be-880c-6a7203176ba4 · outbound

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Reference 72

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Unresolved cited work

Reference 73

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Observation 7699730d-96f4-46d2-9eca-cb5a79059db2 · outbound

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Grathwohl, R

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Observation 0ad52967-5dc3-4433-baa6-41440df17366 · outbound

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Papamakarios, E

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Observation 38d72f66-86bf-45b2-9958-0cb7231c6575 · outbound

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Zhang and R

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Observation f61d8a52-ec8d-4da3-8ae4-c26e02d4ff3e · outbound

This paper cites EquiformerV3: Scaling Efficient, Expressive, and General SE(3)-Equivariant Graph Attention Transformers.

Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations EquiformerV3: Scaling Efficient, Expressive, and General SE(3)-Equivariant Graph Attention Transformers

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Observation 9e989558-489e-40ab-b586-2ab2ce162310 · outbound

This paper cites Girard, A fast ‘Monte-Carlo cross-validation’ proce- dure for large least squares problems with noisy data, Numer.

Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Girard, A fast ‘Monte-Carlo cross-validation’ proce- dure for large least squares problems with noisy data, Numer

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Observation 7030d89b-95dd-48de-946f-a8e6fd61de3d · outbound

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Loshchilov and F

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Observation b892fa00-3e50-4b2b-af75-9806cf696808 · outbound

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Sch¨ utt, P

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Observation d993438f-54fa-41d5-9ad9-ae72613f869e · outbound

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Unresolved cited work

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Observation 10126953-af5b-4f37-8757-fee961082cbf · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Gaussian Error Linear Units (GELUs)

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Reference 83

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Oono and T

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Griewank, On automatic differentiation and algorith- mic linearization, Pesq

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Hairer, G

Reference 86

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations McGuffie and A

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Szabo and N

Reference 89

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Reference 90

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations Greydanus, M

Reference 91

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Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations 15379–15389

Reference 2019

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