Paper Citation Record · LEDGER

Learning charges and long-range interactions from energies and forces

As of 13 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 3 inbound Pith citation observations for arXiv:2412.15455.

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

pith.paper-citation-record.v1
2412.15455 v1

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:30:48.242196Z

measured 67 of 67 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T21:05:47.593529Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:14:06.257417Z

Reference resolution

64 of 64 outbound references displayed

verified exact2
verified fuzzy50
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d28b55a7-b94c-4073-aa35-d96934999133 · outbound

This paper cites Long range interactions in nanoscale science,.

Learning charges and long-range interactions from energies and forces Long range interactions in nanoscale science,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:49.187396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 95bc81af-75b7-4b20-8e2a-51bde035bf9c · outbound

This paper cites Efficient cluster expansion for substitutional systems,.

Learning charges and long-range interactions from energies and forces Efficient cluster expansion for substitutional systems,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:49.172546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 14511e04-cd43-428b-bbb7-b5a5d5e5bd9f · outbound

This paper cites Charge scaling manifesto: A way of reconciling the inherently macro- scopic and microscopic natures of molecular simulations,.

Learning charges and long-range interactions from energies and forces Charge scaling manifesto: A way of reconciling the inherently macro- scopic and microscopic natures of molecular simulations,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:49.156665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation be42c149-90b1-460e-b0ac-570001fe0e72 · outbound

This paper cites Influence of surface topology and electrostatic potential on water/electrode systems,.

Learning charges and long-range interactions from energies and forces Influence of surface topology and electrostatic potential on water/electrode systems,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:49.140600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4b85c211-b617-4949-aed3-e8ff5aa32801 · outbound

This paper cites Combining machine learning and computational chemistry for pre- dictive insights into chemical systems,.

Learning charges and long-range interactions from energies and forces Combining machine learning and computational chemistry for pre- dictive insights into chemical systems,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T11:30:47.989728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f1df445-46c0-43e3-b1a2-189d615c18d9 · outbound

This paper cites Ma- chine learning force fields,.

Learning charges and long-range interactions from energies and forces Ma- chine learning force fields,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:49.114812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1df34a78-21b2-43ea-b25a-7646f95fae69 · outbound

This paper cites Learning intermolecular forces at liquid–vapor inter- faces,.

Learning charges and long-range interactions from energies and forces Learning intermolecular forces at liquid–vapor inter- faces,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:49.099356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ee567043-1824-42a6-9b77-4ce78cb22d6c · outbound

This paper cites Incorporating long-range physics in atomic-scale machine learning,.

Learning charges and long-range interactions from energies and forces Incorporating long-range physics in atomic-scale machine learning,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:49.084723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2dd30be3-2700-4ce1-9972-501ddc7b5f90 · outbound

This paper cites Physics-inspired equivariant descriptors of nonbonded interactions,.

Learning charges and long-range interactions from energies and forces Physics-inspired equivariant descriptors of nonbonded interactions,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:49.068761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 576b9ce7-a907-42d6-ae3f-b2d5f530a7a3 · outbound

This paper cites A deep potential model with long-range electrostatic inter- actions,.

Learning charges and long-range interactions from energies and forces A deep potential model with long-range electrostatic inter- actions,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:49.055892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b12e1577-a4f9-405e-afb9-5a0212cae1ee · outbound

This paper cites Electrostatic interactions in atomistic and machine-learned potentials for polar materials.

Learning charges and long-range interactions from energies and forces Electrostatic interactions in atomistic and machine-learned potentials for polar materials

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T11:30:48.017127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f8b33f3-07fc-42a1-ade5-7d51f0879b11 · outbound

This paper cites A fourth-generation high-dimensional neu- ral network potential with accurate electrostatics includ- ing non-local charge transfer,.

Learning charges and long-range interactions from energies and forces A fourth-generation high-dimensional neu- ral network potential with accurate electrostatics includ- ing non-local charge transfer,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T11:30:48.022051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93cd6338-0252-4377-bd70-927e742abed8 · outbound

This paper cites Physnet: A neu- ral network for predicting energies, forces, dipole mo- ments, and partial charges,.

Learning charges and long-range interactions from energies and forces Physnet: A neu- ral network for predicting energies, forces, dipole mo- ments, and partial charges,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:49.030891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e828ea26-6c30-4648-9db8-ed7e51876e37 · outbound

This paper cites Self-consistent deter- mination of long-range electrostatics in neural network potentials,.

Learning charges and long-range interactions from energies and forces Self-consistent deter- mination of long-range electrostatics in neural network potentials,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:49.016598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8b887851-6f99-4aff-b5f2-0d5aa76efdf5 · outbound

This paper cites Discovering a transferable charge assignment model us- ing machine learning,.

Learning charges and long-range interactions from energies and forces Discovering a transferable charge assignment model us- ing machine learning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:49.001418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2db49cbc-8ba9-4073-a901-7a78077c8008 · outbound

This paper cites A predictive machine learning force field framework for liquid electrolyte development.

Learning charges and long-range interactions from energies and forces A predictive machine learning force field framework for liquid electrolyte development

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T11:30:48.036251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 324026bf-48b1-42a9-a072-2de18a41e618 · outbound

This paper cites Incorporating long-range electrostatics in neural network potentials via variational charge equilibration from shortsighted ingre- dients,.

Learning charges and long-range interactions from energies and forces Incorporating long-range electrostatics in neural network potentials via variational charge equilibration from shortsighted ingre- dients,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:48.984918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7cba4ebe-7044-4828-ae8d-e36f21b145ca · outbound

This paper cites Charge equilibration for molecular dynamics simulations,.

Learning charges and long-range interactions from energies and forces Charge equilibration for molecular dynamics simulations,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:48.967709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b345acb5-048b-492a-8e6f-1832c9951188 · outbound

This paper cites Capturing long-range interaction with reciprocal space neural network.

Learning charges and long-range interactions from energies and forces Capturing long-range interaction with reciprocal space neural network

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T11:30:48.047407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da7f17b1-6f7c-4db2-9e01-df92cdc0256e · outbound

This paper cites Ewald-based long-range message passing for molecular graphs,.

Learning charges and long-range interactions from energies and forces Ewald-based long-range message passing for molecular graphs,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:48.951069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1805beb8-7acb-4103-886b-d42f3a548b68 · outbound

This paper cites Density-Based Long-Range Electrostatic Descriptors for Machine Learning Force Fields.

Learning charges and long-range interactions from energies and forces Density-Based Long-Range Electrostatic Descriptors for Machine Learning Force Fields

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T11:30:48.055780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d4bd742-889a-4159-8319-4cceb874c1f0 · outbound

This paper cites Fast and flexible long-range models for atomistic machine learning.

Learning charges and long-range interactions from energies and forces Fast and flexible long-range models for atomistic machine learning

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-11T11:30:48.374952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 912660bb-e6ae-4320-8575-eb4279d76995 · outbound

This paper cites Latent Ewald summation for machine learning of long-range interactions.

Learning charges and long-range interactions from energies and forces Latent Ewald summation for machine learning of long-range interactions

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T11:30:48.065448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83a8e9ef-779d-4441-a8d2-e6bb331d335d · outbound

This paper cites Generalized neural- network representation of high-dimensional potential- energy surfaces,.

Learning charges and long-range interactions from energies and forces Generalized neural- network representation of high-dimensional potential- energy surfaces,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:48.935569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6b6ebed5-5c8c-4bf4-adc6-014a369a0ef2 · outbound

This paper cites Gaussian approximation potentials: The ac- curacy of quantum mechanics, without the electrons,.

Learning charges and long-range interactions from energies and forces Gaussian approximation potentials: The ac- curacy of quantum mechanics, without the electrons,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:48.919758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 31155c2a-2416-4608-b078-761c0bdf8a51 · outbound

This paper cites Moment tensor potentials: A class of systematically improvable interatomic poten- tials,.

Learning charges and long-range interactions from energies and forces Moment tensor potentials: A class of systematically improvable interatomic poten- tials,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:48.904717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f6c52038-17b3-4016-b768-d2e47a3b4c93 · outbound

This paper cites Atomic cluster expansion for accurate and transferable interatomic potentials,.

Learning charges and long-range interactions from energies and forces Atomic cluster expansion for accurate and transferable interatomic potentials,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T11:30:48.083560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff46d0b3-c65e-4b65-a576-aba750474d2f · outbound

This paper cites E (3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials,.

Learning charges and long-range interactions from energies and forces E (3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T11:30:48.088059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f776b3a-6a8f-4a89-9f65-d175e1ef27d3 · outbound

This paper cites Mace: Higher order equiv- ariant message passing neural networks for fast and ac- curate force fields,.

Learning charges and long-range interactions from energies and forces Mace: Higher order equiv- ariant message passing neural networks for fast and ac- curate force fields,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:48.868936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4a235b22-d5b9-4773-b136-ff0ed53f23a0 · outbound

This paper cites Cartesian atomic cluster expansion for machine learning interatomic potentials,.

Learning charges and long-range interactions from energies and forces Cartesian atomic cluster expansion for machine learning interatomic potentials,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:48.857045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cd1f8950-6c99-4953-ac5e-5b7dab83cc3d · outbound

This paper cites Schnet: A continuous-filter convolutional neural network for modeling quantum in- teractions,.

Learning charges and long-range interactions from energies and forces Schnet: A continuous-filter convolutional neural network for modeling quantum in- teractions,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:48.843388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 20489adc-9048-485a-9cfc-557e4f5bcd0e · outbound

This paper cites Chgnet as a pretrained universal neural network potential for charge-informed atomistic mod- elling,.

Learning charges and long-range interactions from energies and forces Chgnet as a pretrained universal neural network potential for charge-informed atomistic mod- elling,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:48.829715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 96731424-c15d-42f4-901f-15304eeff662 · outbound

This paper cites Newtonnet: A newtonian message pass- ing network for deep learning of interatomic potentials and forces,.

Learning charges and long-range interactions from energies and forces Newtonnet: A newtonian message pass- ing network for deep learning of interatomic potentials and forces,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:48.815606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ae292b3e-86df-497d-bfc6-586e84e898d6 · outbound

This paper cites Accelerated convergence of crystal- lattice potential sums,.

Learning charges and long-range interactions from energies and forces Accelerated convergence of crystal- lattice potential sums,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:48.801549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a19cb341-a1cd-45e3-85a1-65e5657b0e26 · outbound

This paper cites Nearsightedness of elec- tronic matter,.

Learning charges and long-range interactions from energies and forces Nearsightedness of elec- tronic matter,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:48.787946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3796de84-bee7-4213-9965-cc6f91e96871 · outbound

This paper cites Flexible simple point-charge water model with improved liquid-state properties,.

Learning charges and long-range interactions from energies and forces Flexible simple point-charge water model with improved liquid-state properties,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:48.773952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 679ee7dd-2def-4cc0-9f8b-728e02ca4d58 · outbound

This paper cites Determina- tion of alkali and halide monovalent ion parameters for use in explicitly solvated biomolecular simulations,.

Learning charges and long-range interactions from energies and forces Determina- tion of alkali and halide monovalent ion parameters for use in explicitly solvated biomolecular simulations,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:48.760167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4e24bbac-8717-45fa-a9a6-696de75463c4 · outbound

This paper cites The biofragment database (bfdb): An open- data platform for computational chemistry analysis of noncovalent interactions,.

Learning charges and long-range interactions from energies and forces The biofragment database (bfdb): An open- data platform for computational chemistry analysis of noncovalent interactions,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:48.746389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c43e52a6-8648-467b-951f-b978ab97c56a · outbound

This paper cites Spice, a dataset of drug-like molecules and peptides for training machine learning potentials,.

Learning charges and long-range interactions from energies and forces Spice, a dataset of drug-like molecules and peptides for training machine learning potentials,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:48.732157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d1830de0-007e-4207-826a-5e946f4aa896 · outbound

This paper cites free lunch.

Learning charges and long-range interactions from energies and forces free lunch

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:49.202557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7bfc0e9e-8f46-4eca-b03d-1072cce8b18d · outbound

This paper cites Minimal basis iterative stockholder: atoms in molecules for force-field development,.

Learning charges and long-range interactions from energies and forces Minimal basis iterative stockholder: atoms in molecules for force-field development,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:48.718350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b06b3886-3c25-4f9d-abe7-0693130f9a12 · outbound

This paper cites Charge-constrained Atomic Cluster Expansion.

Learning charges and long-range interactions from energies and forces Charge-constrained Atomic Cluster Expansion

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T11:30:48.145952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4b20ee2-a0dd-44cc-89db-0880de52bcdc · outbound

This paper cites Atomic cluster expansion: Complete- ness, efficiency and stability,.

Learning charges and long-range interactions from energies and forces Atomic cluster expansion: Complete- ness, efficiency and stability,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:48.705116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2ed70918-ccd1-4990-bc39-d2eba051ae9c · outbound

This paper cites Bonded-atom fragments for describing molecular charge densities,.

Learning charges and long-range interactions from energies and forces Bonded-atom fragments for describing molecular charge densities,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:48.692801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2299fd21-e525-48d9-8388-21c850194897 · outbound

This paper cites Machine Learning Potential for Electrochemical Interfaces with Hybrid Representation of Dielectric Response.

Learning charges and long-range interactions from energies and forces Machine Learning Potential for Electrochemical Interfaces with Hybrid Representation of Dielectric Response

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T11:30:48.159596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 278b3c38-0f5c-4b43-943d-41c63a6f189e · outbound

This paper cites Electrical double layer and capacitance of TiO2 electrolyte interfaces from first principles simulations.

Learning charges and long-range interactions from energies and forces Electrical double layer and capacitance of TiO2 electrolyte interfaces from first principles simulations

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-11T11:30:48.163596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1435cf80-e72f-46dd-80a7-c9ad513a46ad · outbound

This paper cites Incompleteness of atomic structure represen- tations,.

Learning charges and long-range interactions from energies and forces Incompleteness of atomic structure represen- tations,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:48.680535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4fc7ad9c-65e4-482e-90be-1d13ca38b133 · outbound

This paper cites Observing and Modeling the Sequential Pairwise Re- actions that Drive Solid-State Ceramic Synthesis,.

Learning charges and long-range interactions from energies and forces Observing and Modeling the Sequential Pairwise Re- actions that Drive Solid-State Ceramic Synthesis,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:48.666754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a3dd32ce-d2a5-43e8-898f-040d15df298d · outbound

This paper cites What dictates soft clay-like lithium superionic conduc- tor formation from rigid salts mixture,.

Learning charges and long-range interactions from energies and forces What dictates soft clay-like lithium superionic conduc- tor formation from rigid salts mixture,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:48.653142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4b468151-ed9c-4633-8fb7-d8c785d7a7ec · outbound

This paper cites Uncertainty Quantification and Propagation in Atomistic Machine Learning.

Learning charges and long-range interactions from energies and forces Uncertainty Quantification and Propagation in Atomistic Machine Learning

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-08-11T11:30:48.286544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f6c53f34-3412-4e63-81f8-34e013e0929b · outbound

This paper cites Fast uncertainty estimates in deep learning interatomic potentials,.

Learning charges and long-range interactions from energies and forces Fast uncertainty estimates in deep learning interatomic potentials,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:48.639682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c26323e7-6243-476d-9ae8-d22aabad80c6 · outbound

This paper cites A theoretically grounded application of dropout in recurrent neural net- works,.

Learning charges and long-range interactions from energies and forces A theoretically grounded application of dropout in recurrent neural net- works,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:48.625302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 111b2795-13e1-4ce9-922a-91dd2fc3e769 · outbound

This paper cites Deep evidential regression,.

Learning charges and long-range interactions from energies and forces Deep evidential regression,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:48.611663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 64805331-f132-4e4f-9f3e-4c9641cb067a · outbound

This paper cites Comparison of atomic charges derived via different procedures,.

Learning charges and long-range interactions from energies and forces Comparison of atomic charges derived via different procedures,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:48.597977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cbef22ea-9dbf-4806-b5dd-3b5d34dac568 · outbound

This paper cites Charge model 5: An extension of hirshfeld population analysis for the accu- rate description of molecular interactions in gaseous and condensed phases,.

Learning charges and long-range interactions from energies and forces Charge model 5: An extension of hirshfeld population analysis for the accu- rate description of molecular interactions in gaseous and condensed phases,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:48.583475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 26056ea5-0261-41c8-8c4b-96e0e278ef78 · outbound

This paper cites Electronic population analysis on lcao–mo molecular wave functions. i,.

Learning charges and long-range interactions from energies and forces Electronic population analysis on lcao–mo molecular wave functions. i,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:48.569090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b9027b74-ae48-473d-9f56-42872249fd3f · outbound

This paper cites Dynamical matrices, born effective charges, dielectric permittivity tensors, and interatomic force constants from density-functional per- turbation theory,.

Learning charges and long-range interactions from energies and forces Dynamical matrices, born effective charges, dielectric permittivity tensors, and interatomic force constants from density-functional per- turbation theory,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:48.555043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8a6e73ad-0e7a-4a54-8f83-4d9aea19d2d0 · outbound

This paper cites First-principles predic- tion of vacancy order-disorder and intercalation battery voltages in Li xCoO2,.

Learning charges and long-range interactions from energies and forces First-principles predic- tion of vacancy order-disorder and intercalation battery voltages in Li xCoO2,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:48.540306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bae6d63d-abb7-4370-b88f-3b48b7cc3242 · outbound

This paper cites Charge self-regulation upon changing the oxidation state of transition metals in insulators,.

Learning charges and long-range interactions from energies and forces Charge self-regulation upon changing the oxidation state of transition metals in insulators,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:48.525079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e9490454-950e-4b85-a6ef-ea51cc8ea4e9 · outbound

This paper cites Oxidation states and ionicity,.

Learning charges and long-range interactions from energies and forces Oxidation states and ionicity,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:48.508796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a4845c8d-1ba6-42f4-a0ec-e93cd533ff2c · outbound

This paper cites Active learn- ing of reactive Bayesian force fields applied to heteroge- neous catalysis dynamics of H/Pt,.

Learning charges and long-range interactions from energies and forces Active learn- ing of reactive Bayesian force fields applied to heteroge- neous catalysis dynamics of H/Pt,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:48.495679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 077aad57-6c1b-4046-87c2-58d5b63c68a6 · outbound

This paper cites Python Materials Genomics (py- matgen): A robust, open-source python library for ma- terials analysis,.

Learning charges and long-range interactions from energies and forces Python Materials Genomics (py- matgen): A robust, open-source python library for ma- terials analysis,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:48.482590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8b4bd693-bb20-4cd1-b9df-fb81b0c407bc · outbound

This paper cites Generalized gradient approximation made simple,.

Learning charges and long-range interactions from energies and forces Generalized gradient approximation made simple,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:48.469298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ec30bbfe-b97f-4884-9c46-9e8a9e7dd2dc · outbound

This paper cites A consistent and accurate ab initio parametrization of density functional dispersion correc- tion (dft-d) for the 94 elements h-pu,.

Learning charges and long-range interactions from energies and forces A consistent and accurate ab initio parametrization of density functional dispersion correc- tion (dft-d) for the 94 elements h-pu,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:30:48.455116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

Observation d81dff19-c240-4583-b5c7-f9af09052196 · inbound

Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration cites this paper.

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

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-09T21:05:47.593529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0739db44-dee7-4033-b2b1-e32fef659567 · inbound

Fine-Tuning Universal Machine-Learned Interatomic Potentials: A Tutorial on Methods and Applications cites this paper.

Fine-Tuning Universal Machine-Learned Interatomic Potentials: A Tutorial on Methods and Applications Learning charges and long-range interactions from energies and forces

Reference 127

Resolution: unresolved; no resolver link, observed 2026-08-06T22:23:19.482942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f697515d-0c43-4937-ba37-31d0556a8ea6 · inbound

A universal augmentation framework for long-range electrostatics in machine learning interatomic potentials cites this paper.

A universal augmentation framework for long-range electrostatics in machine learning interatomic potentials Learning charges and long-range interactions from energies and forces

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:14:06.337480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.