Paper Citation Record · LEDGER

Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration

As of 10 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 1 inbound Pith citation observation for arXiv:2501.19179.

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

pith.paper-citation-record.v1
2501.19179 v2

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Reference resolution

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Outbound references

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This paper cites The Journal of Physical Chemistry A 127(11), 2417–2431 (2023) https://doi.org/10.1021/acs.jpca.2c06778.

Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration The Journal of Physical Chemistry A 127(11), 2417–2431 (2023) https://doi.org/10.1021/acs.jpca.2c06778

Reference 1

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This paper cites https: //doi.org/10.48550/arXiv.2412.08541.

Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration https: //doi.org/10.48550/arXiv.2412.08541

Reference 2

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This paper cites Nature Communications 12(1), 398 (2021) https://doi.org/ 10.1038/s41467-020-20427-2.

Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration Nature Communications 12(1), 398 (2021) https://doi.org/ 10.1038/s41467-020-20427-2

Reference 3

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This paper cites The Journal of Chemical Physics 161(23) (2024) https://doi.org/10.1063/5.0235189.

Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration The Journal of Chemical Physics 161(23) (2024) https://doi.org/10.1063/5.0235189

Reference 4

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This paper cites npj Computational Materials 10(1) (2024) https: //doi.org/10.1038/s41524-024-01251-4.

Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration npj Computational Materials 10(1) (2024) https: //doi.org/10.1038/s41524-024-01251-4

Reference 5

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This paper cites Nature Communications 14(1), 579 (2023) https://doi.org/10.1038/ s41467-023-36329-y.

Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration Nature Communications 14(1), 579 (2023) https://doi.org/10.1038/ s41467-023-36329-y

Reference 6

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This paper cites MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields.

Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields

Reference 7

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This paper cites Nature Communications 13(1), 2453 (2022) https://doi.org/10.1038/s41467-022-29939-5.

Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration Nature Communications 13(1), 2453 (2022) https://doi.org/10.1038/s41467-022-29939-5

Reference 8

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This paper cites Journal of the American Chemical Society 147(21), 17598–17611 (2025) https://doi.org/ 10.1021/jacs.4c07099.

Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration Journal of the American Chemical Society 147(21), 17598–17611 (2025) https://doi.org/ 10.1021/jacs.4c07099

Reference 9

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This paper cites npj Computational Materials 11(1), 49 (2025) https://doi.org/10.1038/s41524-025-01535-3 19.

Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration npj Computational Materials 11(1), 49 (2025) https://doi.org/10.1038/s41524-025-01535-3 19

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This paper cites In: Precup, D., Teh, Y.W.

Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration In: Precup, D., Teh, Y.W

Reference 11

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This paper cites In: Krause, A., Brunskill, E., Cho, K., Engelhardt, B., Sabato, S., Scarlett, J.

Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration In: Krause, A., Brunskill, E., Cho, K., Engelhardt, B., Sabato, S., Scarlett, J

Reference 12

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This paper cites npj Computational Materials 10(1), 47 (2024) https://doi.org/10.1038/s41524-024-01225-6.

Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration npj Computational Materials 10(1), 47 (2024) https://doi.org/10.1038/s41524-024-01225-6

Reference 13

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This paper cites Chemi- cal Reviews 121(16), 10142–10186 (2021) https://doi.org/10.1021/acs.chemrev.

Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration Chemi- cal Reviews 121(16), 10142–10186 (2021) https://doi.org/10.1021/acs.chemrev

Reference 14

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This paper cites Chemical Reviews 118(4), 1691–1741 (2018) https: //doi.org/10.1021/acs.chemrev.7b00305.

Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration Chemical Reviews 118(4), 1691–1741 (2018) https: //doi.org/10.1021/acs.chemrev.7b00305

Reference 15

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This paper cites Journal of Molecular Liquids 351, 118616 (2022) https://doi.org/10.1016/j.molliq.2022.118616.

Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration Journal of Molecular Liquids 351, 118616 (2022) https://doi.org/10.1016/j.molliq.2022.118616

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This paper cites Biophysical Chemistry 77(1), 49–68 (1999) https://doi.org/10.1016/ S0301-4622(99)00010-1.

Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration Biophysical Chemistry 77(1), 49–68 (1999) https://doi.org/10.1016/ S0301-4622(99)00010-1

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Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration Unresolved cited work

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

Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration So3krates: Equivariant attention for interactions on arbitrary length-scales in molecular systems

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Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration Capturing long-range interaction with reciprocal space neural network

Reference 20

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Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration Neural P$^3$M: A Long-Range Interaction Modeling Enhancer for Geometric GNNs

Reference 21

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This paper cites Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation.

Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation

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Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration Extending the RANGE of Graph Neural Networks: Relaying Attention Nodes for Global Encoding

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Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration https://arxiv.org/abs/2502

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Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration The Journal of Chemical Physics 153(3), 034702 (2020) https://doi.org/10.1063/5.0005084 https://pubs.aip.org/aip/jcp/article- pdf/doi/10.1063/5.0005084/13464163/034702 1 online.pdf

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Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration Journal of Chemical Theory and Computation 20(5), 2088–2097 (2024) https://doi.org/10.1021/acs.jctc.3c01254

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Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration Learning charges and long-range interactions from energies and forces

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Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration Nature Communications 12(1), 7273 (2021) https://doi.org/10

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Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration Nature Communications 13(1), 1572 (2022) https: //doi.org/10.1038/s41467-022-29243-2

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Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration Scientific Data 7(1), 58 (2020) https://doi.org/10

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Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration Scientific Data 10(1), 11 (2023) https://doi.org/10.1038/ s41597-022-01882-6

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Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration The Journal of Chemical Physics 103(19), 8577–8593 (1995) https://doi.org/10.1063/1.470117

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Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration chemtrain-deploy: A parallel and scalable framework for machine learning potentials in million-atom MD simulations

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Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration Computer Physics Communications 271, 108171 (2022) https: //doi.org/10.1016/j.cpc.2021.108171

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Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration Journal of Chemical Theory and Computation 19(2), 562–579 (2023) https://doi.org/10.1021/acs.jctc.2c00661

Reference 40

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Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration 22 https://doi.org/10.26434/chemrxiv-2024-bdfr0-v3

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Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration Chemical Science 8(10), 6924–6935 (2017) https://doi.org/10.1039/C7SC02267K

Reference 42

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Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration Chemical Science 12(34), 11473–11483 (2021) https://doi.org/10.1039/D1SC02742E

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Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration Equivariant message passing for the prediction of tensorial properties and molecular spectra

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Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration Jour- nal of Computational Physics 73(2), 325–348 (1987) https://doi.org/10.1016/ 0021-9991(87)90140-9

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Observation 1104c8ba-0379-48b9-b21f-431244ef2226 · outbound

This paper cites The Journal of Chemical Physics 110(6), 2810–2821 (1999) https://doi.org/10.

Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration The Journal of Chemical Physics 110(6), 2810–2821 (1999) https://doi.org/10

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:05:48.622909Z

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Observation 21039c55-33a2-4d58-b910-1a6d0c52c09a · outbound

This paper cites The Journal of Physical Chemistry 95(8), 3358–3363 (1991) https: //doi.org/10.1021/j100161a070.

Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration The Journal of Physical Chemistry 95(8), 3358–3363 (1991) https: //doi.org/10.1021/j100161a070

Reference 47

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Observation 9f3c5210-7493-48ab-9a0c-3aae611a5a15 · outbound

This paper cites Computer Physics Communications 104(1), 59–69 (1997) https://doi.org/10.1016/S0010-4655(97)00041-6.

Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration Computer Physics Communications 104(1), 59–69 (1997) https://doi.org/10.1016/S0010-4655(97)00041-6

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-09T21:05:47.677262Z

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Observation 3d8c5c01-16e9-4bde-87a1-3864213f5d00 · outbound

This paper cites Journal of Chemical Theory and Computation 20(16), 7264–7271 (2024) https://doi.org/10.1021/acs.jctc.4c00334.

Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration Journal of Chemical Theory and Computation 20(16), 7264–7271 (2024) https://doi.org/10.1021/acs.jctc.4c00334

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-09T21:05:47.681814Z

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This paper cites https://doi.org/10.5281/zenodo.10975225.

Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration https://doi.org/10.5281/zenodo.10975225

Reference 50

Resolution: verified exact; doi, observed 2026-08-09T21:05:47.840536Z

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Observation dbdc7dc3-0ec2-4270-93ce-95bfbe52e04d · outbound

This paper cites Computer Physics Communications 310, 109512 (2025) https://doi.org/10.1016/j.cpc.2025.109512.

Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration Computer Physics Communications 310, 109512 (2025) https://doi.org/10.1016/j.cpc.2025.109512

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-09T21:05:47.691768Z

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Observation 2f532bbb-cb21-4198-be23-bc1d92928be0 · outbound

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Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration A framework for differentiable physics*

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-09T21:05:47.696417Z

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This paper cites https://github.com/mariogeiger/ allegro-jax Accessed 2025-01-27.

Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration https://github.com/mariogeiger/ allegro-jax Accessed 2025-01-27

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:05:48.607554Z

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Observation dee55c97-dc36-4c80-b3b6-396f33ab8d59 · outbound

This paper cites Nature Communications 12(1), 6884 (2021) https://doi.org/10.1038/s41467-021-27241-4.

Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration Nature Communications 12(1), 6884 (2021) https://doi.org/10.1038/s41467-021-27241-4

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-09T21:05:47.706001Z

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This paper cites Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules.

Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-09T21:05:47.710679Z

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This paper cites https://github.com/ACEsuit/mace-jax Accessed 2025-06-10.

Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration https://github.com/ACEsuit/mace-jax Accessed 2025-06-10

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:05:48.593291Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e2aa2efa-379b-4a77-b17e-b5db9a4b4ead · outbound

This paper cites Europhysics Letters (EPL) 26(8), 583–588 (1994) https://doi.org/10.1209/0295-5075/26/8/005.

Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration Europhysics Letters (EPL) 26(8), 583–588 (1994) https://doi.org/10.1209/0295-5075/26/8/005

Reference 57

Resolution: verified exact; doi, observed 2026-08-09T21:05:47.793063Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 96c48991-0b18-403d-b5c0-82854049ad5f · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration Adam: A Method for Stochastic Optimization

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-09T21:05:47.725269Z

Source-reported events for the cited work

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This paper cites Journal of Chemical Theory and Computation 8(10), 3637–3649 (2012) https://doi.org/10.1021/ct3000876 24.

Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration Journal of Chemical Theory and Computation 8(10), 3637–3649 (2012) https://doi.org/10.1021/ct3000876 24

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-09T21:05:47.730422Z

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Observation 4d819a8d-4042-454e-acae-e5a294d8edc6 · outbound

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Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration 1002/chem.200800987

Reference 118

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:05:48.653482Z

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Pith citing papers

Observation 425a18f0-292e-40da-9355-0caf73a20651 · inbound

chemtrain-deploy: A parallel and scalable framework for machine learning potentials in million-atom MD simulations cites this paper.

chemtrain-deploy: A parallel and scalable framework for machine learning potentials in million-atom MD simulations Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:55:22.016579Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.