Paper Citation Record · LEDGER

Universal Machine Learning Interatomic Potentials are Ready for Phonons

As of 15 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 4 inbound Pith citation observations for arXiv:2412.16551.

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

pith.paper-citation-record.v1
2412.16551 v2

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:31:53.001941Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:58:19.972609Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

51 of 51 outbound references displayed

verified exact1
verified fuzzy15
unresolved35
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

4
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

Observation 9818cdf5-4018-42cd-9857-eb13fd59f0c3 · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-11T10:31:53.510449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e91f34c4-3e1c-43b1-908b-b5147ff3e605 · outbound

This paper cites Behler, Perspective: Machine learning potentials for atomistic simulations, J.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Behler, Perspective: Machine learning potentials for atomistic simulations, J

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T10:31:52.831657Z

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Unavailable: canonical work link unavailable.

Observation 67413ced-8ec1-415b-ade3-db60263c1ba2 · outbound

This paper cites Graser, S.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Graser, S

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T10:31:52.835385Z

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Observation dcf89e4b-0877-49a7-9c46-fee438427529 · outbound

This paper cites Schmidt, M.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Schmidt, M

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:31:53.489162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation faeae120-5397-48a2-b72a-f7b4737171e3 · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T10:31:52.842652Z

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Observation c903f5af-01b8-4679-9a18-1631fc72db27 · outbound

This paper cites Behler and M.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Behler and M

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T10:31:52.846328Z

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Observation 14a28b86-cc9f-4318-9a2c-0f8af2f7c1ec · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T10:31:52.849924Z

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Observation 281c51be-4846-40e0-8afc-72e16340b6f6 · outbound

This paper cites Gasteiger, J.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Gasteiger, J

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:31:53.462538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5493def5-f27a-4fdc-ba13-0ba008d57a5c · outbound

This paper cites Batzner, A.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Batzner, A

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:31:53.453065Z

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Observation 2dd17898-8d51-468f-a7c1-9bcd095f82e4 · outbound

This paper cites Gastegger, K.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Gastegger, K

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:31:53.443377Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1bff4c19-0b71-4a89-962f-8ed33010de5c · outbound

This paper cites Gilmer, S.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Gilmer, S

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:31:53.434054Z

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Observation 234158fb-6911-422f-acf1-d48936274cb5 · outbound

This paper cites Schütt, P.-J.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Schütt, P.-J

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:31:53.423952Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ede77bba-5e30-4a3d-aaa0-b73722361188 · outbound

This paper cites Jain, S.P.Ong, G.Hautier, W.Chen, W.D.Richards, S.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Jain, S.P.Ong, G.Hautier, W.Chen, W.D.Richards, S

Reference 13

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Observation 561557de-eeef-4921-8c35-8336eb751145 · outbound

This paper cites Kirklin, J.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Kirklin, J

Reference 14

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Observation d83e3c84-cff1-4ad0-829b-31e121d0b797 · outbound

This paper cites Curtarolo, W.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Curtarolo, W

Reference 15

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Source-reported events for the cited work

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Observation bd8ea874-c1b5-4e56-88f8-fdbac92daf50 · outbound

This paper cites Schmidt, T.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Schmidt, T

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T10:31:52.879701Z

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Observation 20236f8e-134f-4b90-b30b-5e16781136de · outbound

This paper cites Scheidgen, L.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Scheidgen, L

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T10:31:52.882954Z

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Observation 0625248e-e36a-4e55-afbf-ecfa448647ea · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Unresolved cited work

Reference 18

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c4205b46-654f-4502-ac99-0daacf9173ab · outbound

This paper cites Chen and S.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Chen and S

Reference 19

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 95983b47-ebb3-46b7-8b6d-50c69754ddda · outbound

This paper cites Batatia, D.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Batatia, D

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:31:53.367163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 834971e0-9953-41ce-8aad-cb50e5db187f · outbound

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

Universal Machine Learning Interatomic Potentials are Ready for Phonons Orb: A Fast, Scalable Neural Network Potential

Reference 21

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Observation 57044a42-816c-4d2a-aebe-beae320bb07e · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Unresolved cited work

Reference 22

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Observation c9e8b3ac-b2be-4e24-9e15-7f5ece51ab0f · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Unresolved cited work

Reference 23

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Source-reported events for the cited work

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Observation 47a88f83-83be-47a0-89b6-e58e02dcb07c · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Unresolved cited work

Reference 24

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Observation c9b0a561-b365-4fd7-a8cd-41df7ee81fb5 · outbound

This paper cites Choudhary and B.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Choudhary and B

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T10:31:52.909787Z

Source-reported events for the cited work

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Observation 4a3ebfc3-3e48-475f-857d-5cd570f55044 · outbound

This paper cites Matbench Discovery -- A framework to evaluate machine learning crystal stability predictions.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Matbench Discovery -- A framework to evaluate machine learning crystal stability predictions

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T10:31:52.913139Z

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Observation 3afdcb93-33c1-4e07-9d61-41a386981f5e · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Unresolved cited work

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 041b43ec-ca37-42ed-8888-a88592cee84a · outbound

This paper cites Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6cc172d-416b-4ea2-825c-3b175cca3889 · outbound

This paper cites Focassio, L.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Focassio, L

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T10:31:52.923851Z

Source-reported events for the cited work

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Observation 9685cb86-67d2-4dd4-ab1c-22aa5e8fc46a · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T10:31:52.930773Z

Source-reported events for the cited work

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Observation 188e039b-0e5f-4887-9bd9-a2efbeeb46ee · outbound

This paper cites MatterSim: A Deep Learning Atomistic Model Across Elements, Temperatures and Pressures.

Universal Machine Learning Interatomic Potentials are Ready for Phonons MatterSim: A Deep Learning Atomistic Model Across Elements, Temperatures and Pressures

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T10:31:52.934220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 737a3b45-0d8e-408b-a052-97fa82e1b200 · outbound

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

Universal Machine Learning Interatomic Potentials are Ready for Phonons Drautz, Atomic cluster expansion for accurate and transferable interatomic potentials, Phys

Reference 33

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Source-reported events for the cited work

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Observation 9830d961-be23-4aa0-ac56-af5e26c8012f · outbound

This paper cites Learning to Simulate Complex Physics with Graph Networks.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Learning to Simulate Complex Physics with Graph Networks

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T10:31:52.940895Z

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Observation 9ba944cf-1186-465d-8a58-76065d7acb06 · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-11T10:31:53.317255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5462cf59-537b-410a-a591-840786851cdb · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T10:31:52.947684Z

Source-reported events for the cited work

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Observation 959291f6-cbeb-45da-9468-b4363d54d56e · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Unresolved cited work

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T10:31:52.950860Z

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Observation d654423d-41cd-474d-80d4-819c6beeb8a8 · outbound

This paper cites Hussein, J.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Hussein, J

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:31:53.296333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bb0c41aa-0c5b-4cb6-8384-7a0661ff1a5d · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-11T10:31:53.287214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ccf69966-83b2-49d3-b975-4a8d93498a6a · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Unresolved cited work

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T10:31:52.960558Z

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Observation c18f94c5-d497-4cf0-ad05-08bf693d7821 · outbound

This paper cites Bergerhoff, R.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Bergerhoff, R

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:31:53.272157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8695adf3-e2f5-4cb4-a7b6-b9c46d2f0609 · outbound

This paper cites Haastrup, M.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Haastrup, M

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:31:53.262713Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4cc74fb8-16dd-41f7-bf1c-053df587b49e · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-11T10:31:53.251230Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 76e2e871-c40e-4159-b1e6-e7d206fab6fc · outbound

This paper cites Choudhary, K.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Choudhary, K

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:31:53.240583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8dce4c4b-da87-402c-991a-1a38565c7b7a · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-11T10:31:53.230902Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 205f5ff5-811a-4ba3-b075-bb406b883125 · outbound

This paper cites Thermal Conductivity Predictions with Foundation Atomistic Models.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Thermal Conductivity Predictions with Foundation Atomistic Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-11T10:31:52.981707Z

Source-reported events for the cited work

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Observation 668e4ee9-2f48-4576-853f-04aa499a043a · outbound

This paper cites Kresse and J.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Kresse and J

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-11T10:31:52.985144Z

Source-reported events for the cited work

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Observation 5100d5e6-f6a2-4307-b12c-74f40d921d6a · outbound

This paper cites Kresse and J.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Kresse and J

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-11T10:31:52.988446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e225ed5f-ba78-4c99-893c-011cdfc438b2 · outbound

This paper cites Togo, First-principles phonon calculations with Phonopy and Phono3py, J.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Togo, First-principles phonon calculations with Phonopy and Phono3py, J

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:31:53.210569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f8d9b8d4-867d-4b00-80c9-b70ad780128d · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Unresolved cited work

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-11T10:31:52.995027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fab9bec6-dfea-4773-999b-563cf692f2c8 · outbound

This paper cites Hjorth Larsen, J.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Hjorth Larsen, J

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:31:53.194108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fca1e343-1e37-4599-b2bf-0efa622c04b5 · outbound

This paper cites Bitzek, P.

Universal Machine Learning Interatomic Potentials are Ready for Phonons Bitzek, P

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:31:53.184681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

Observation 7708791a-90e1-49c4-b899-03b5a10832a5 · inbound

CHIPS-FF: Evaluating Universal Machine Learning Force Fields for Material Properties cites this paper.

CHIPS-FF: Evaluating Universal Machine Learning Force Fields for Material Properties Universal Machine Learning Interatomic Potentials are Ready for Phonons

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-11T15:58:19.972609Z

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Observation ff2e2d13-9c93-4248-9a0a-5c77144cb7da · inbound

Universal machine learning interatomic potentials poised to supplant DFT in modeling general defects in metals and random alloys cites this paper.

Universal machine learning interatomic potentials poised to supplant DFT in modeling general defects in metals and random alloys Universal Machine Learning Interatomic Potentials are Ready for Phonons

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T04:31:32.535360Z

Source-reported events for the cited work

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Observation e7e93e13-20d8-436b-967a-b4bef58ee052 · inbound

Benchmarking Universal Machine Learning Interatomic Potentials for Real-Time Analysis of Inelastic Neutron Scattering Data cites this paper.

Benchmarking Universal Machine Learning Interatomic Potentials for Real-Time Analysis of Inelastic Neutron Scattering Data Universal Machine Learning Interatomic Potentials are Ready for Phonons

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T11:37:08.984865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 957d3175-61c6-49d4-984c-153c2b85285a · 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 Universal Machine Learning Interatomic Potentials are Ready for Phonons

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:55:21.852727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.