Paper Citation Record · LEDGER

NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties

As of 18 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 3 inbound Pith citation observations for arXiv:2411.09631.

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

pith.paper-citation-record.v1
2411.09631 v2

Coverage vector

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Reference resolution

72 of 72 outbound references displayed

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External citation measurements

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Outbound references

Observation a6505423-e5be-4287-afb2-58a61bb92080 · outbound

This paper cites an unresolved cited work.

NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Unresolved cited work

Reference 1

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This paper cites Levy and J.

NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Levy and J

Reference 2

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NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Unresolved cited work

Reference 3

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NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Unresolved cited work

Reference 4

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NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Unresolved cited work

Reference 5

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NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Unresolved cited work

Reference 6

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This paper cites Russo and H.

NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Russo and H

Reference 7

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NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Unresolved cited work

Reference 8

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This paper cites Nilsson and L.

NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Nilsson and L

Reference 9

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This paper cites Th¨ amer, L.

NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Th¨ amer, L

Reference 10

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This paper cites Shi and H.

NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Shi and H

Reference 11

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This paper cites Yu, K.-Y.

NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Yu, K.-Y

Reference 13

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NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Unresolved cited work

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This paper cites Fl´ or, D.

NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Fl´ or, D

Reference 15

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NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Unresolved cited work

Reference 16

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This paper cites Behler and M.

NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Behler and M

Reference 17

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NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Unresolved cited work

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NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Unresolved cited work

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NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Omranpour, P

Reference 20

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This paper cites Morawietz, A.

NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Morawietz, A

Reference 21

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NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Cheng, J

Reference 22

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This paper cites Singraber, T.

NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Singraber, T

Reference 23

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NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Cheng, E

Reference 24

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NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Unresolved cited work

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This paper cites In this work, we utilize these two datasets, with sub-sampling as detailed below, to train NEP models.

NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties In this work, we utilize these two datasets, with sub-sampling as detailed below, to train NEP models

Reference 26

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This paper cites first principles.

NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties first principles

Reference 27

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This paper cites Zhang, H.

NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Zhang, H

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NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Yao and Y

Reference 29

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NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Unresolved cited work

Reference 30

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NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Unresolved cited work

Reference 31

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This paper cites Malosso, L.

NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Malosso, L

Reference 32

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This paper cites Only the NEP model, when combined with a quantum correction scheme, achieves quantitative agreement with experimental results [33].

NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Only the NEP model, when combined with a quantum correction scheme, achieves quantitative agreement with experimental results [33]

Reference 33

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NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Zhang, M

Reference 34

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NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Unresolved cited work

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NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Parrinello and A

Reference 37

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This paper cites Highly efficient path-integral molecular dynamics simulations with GPUMD using neuroevolution potentials: Case studies on thermal properties of materials.

NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Highly efficient path-integral molecular dynamics simulations with GPUMD using neuroevolution potentials: Case studies on thermal properties of materials

Reference 38

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NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties first principles

Reference 39

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NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties first principles

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NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties first-principles

Reference 41

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NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Unresolved cited work

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NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties short blanket

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NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Unresolved cited work

Reference 44

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NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Unresolved cited work

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NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Unresolved cited work

Reference 46

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Observation 060c8052-dc3c-4539-b58e-715627081b2a · outbound

This paper cites Soper, The radial distribution functions of water and ice from 220 to 673 K and at pressures up to 400 MPa, Chemical Physics 258, 121 (2000).

NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Soper, The radial distribution functions of water and ice from 220 to 673 K and at pressures up to 400 MPa, Chemical Physics 258, 121 (2000)

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:30:29.551414Z

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Observation fb986449-2ddc-486c-ae28-59cf253efa64 · outbound

This paper cites Linstrom, NIST Chemistry WebBook - SRD 69, https://webbook.nist.gov/chemistry/fluid (2022).

NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Linstrom, NIST Chemistry WebBook - SRD 69, https://webbook.nist.gov/chemistry/fluid (2022)

Reference 48

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Observation 29cdcadf-bd4a-488e-b054-0c9df6ff689f · outbound

This paper cites Wagner and A.

NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Wagner and A

Reference 49

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NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Riera, C

Reference 50

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NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-12T20:30:29.502802Z

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Observation b21581fb-f89f-432f-89d8-22525341efd0 · outbound

This paper cites an unresolved cited work.

NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-12T20:30:29.491098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ee2a7f7d-674e-4b48-9bf1-17d81601fd81 · outbound

This paper cites an unresolved cited work.

NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Unresolved cited work

Reference 53

Resolution: unresolved; raw_fallback, observed 2026-08-12T20:30:29.478508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8c37b890-faca-4e64-8fa6-f6b758049c6e · outbound

This paper cites an unresolved cited work.

NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-08-12T20:30:29.465387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 36b4980e-dbb1-4de6-afb3-29b00c2d38a2 · outbound

This paper cites Guevara-Carrion, J.

NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Guevara-Carrion, J

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:30:29.452430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6a4c37b9-6508-4d56-9ee3-0470dd4d2433 · outbound

This paper cites Montero de Hijes, C.

NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Montero de Hijes, C

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:30:29.437845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fe3bdef6-f92c-49b9-9b55-1d9784d01f2e · outbound

This paper cites Montero de Hijes, S.

NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Montero de Hijes, S

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:30:29.423959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 86c10620-92d7-4363-be57-deb500d80bfe · outbound

This paper cites an unresolved cited work.

NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-08-12T20:30:29.410385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 87f10813-fbe2-406a-bdaa-a70fe5401c36 · outbound

This paper cites an unresolved cited work.

NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-12T20:30:29.395754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9af65cb8-f35f-4b4a-9329-5952f8d75c6e · outbound

This paper cites Mills, Self-diffusion in normal and heavy water in the range 1-45.

NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Mills, Self-diffusion in normal and heavy water in the range 1-45

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:30:29.383143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 54126745-3249-4fe1-bf43-48d9c8ecd8e0 · outbound

This paper cites Rossi, M.

NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Rossi, M

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-12T20:30:29.146676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f75e3a56-2d26-4611-a501-1cd1e18a9534 · outbound

This paper cites an unresolved cited work.

NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-12T20:30:29.364057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6c1f4893-d4bb-4cf1-a974-a439f6fc8279 · outbound

This paper cites an unresolved cited work.

NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-12T20:30:29.351827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5b607ce5-f463-405d-8d56-b4bd03c45f3e · outbound

This paper cites an unresolved cited work.

NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Unresolved cited work

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-12T20:30:29.157897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28cb53dc-9f8b-49a4-9164-b0313ab5a448 · outbound

This paper cites an unresolved cited work.

NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-12T20:30:29.330745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5106ea75-3a2e-4639-b9c3-c02762d9f527 · outbound

This paper cites Palos, E.

NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Palos, E

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:30:29.317833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b56f6957-6343-45c2-9cd0-f75059c5d989 · outbound

This paper cites an unresolved cited work.

NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Unresolved cited work

Reference 67

Resolution: unresolved; raw_fallback, observed 2026-08-12T20:30:29.303891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation db3be239-5a41-44b0-852b-8632c5f79db5 · outbound

This paper cites an unresolved cited work.

NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Unresolved cited work

Reference 68

Resolution: unresolved; raw_fallback, observed 2026-08-12T20:30:29.289936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8d3ca9f0-ad05-4272-901a-51c0f58bf260 · outbound

This paper cites Themes, Database of Water Cluster Minima (2024).

NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Themes, Database of Water Cluster Minima (2024)

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:30:29.278402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 209b0306-e79b-4767-b95b-94677455a352 · outbound

This paper cites Temelso, K.

NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Temelso, K

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:30:29.266270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9f5253ad-3d36-4d69-a369-c01073c3b372 · outbound

This paper cites Malloum, J.

NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Malloum, J

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:30:29.252596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b12632ad-f024-40b1-99f4-b80cb54109cf · outbound

This paper cites Kresse and J.

NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties Kresse and J

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:30:29.239928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

Observation c078c810-9e43-4bfd-9b94-2325d6b9b37b · inbound

Advances in modeling complex materials: The rise of neuroevolution potentials cites this paper.

Advances in modeling complex materials: The rise of neuroevolution potentials NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T18:37:10.307919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb7f52bc-fd60-42bd-9dcf-fbc3880ada07 · inbound

NepTrain and NepTrainKit: Automated Active Learning and Visualization Toolkit for Neuroevolution Potentials cites this paper.

NepTrain and NepTrainKit: Automated Active Learning and Visualization Toolkit for Neuroevolution Potentials NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:36:35.607729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5ae92a42-e54c-4205-aa7a-2d9787494599 · inbound

Accelerated Machine Learning Force Field for Predicting Thermal Conductivity of Organic Liquids cites this paper.

Accelerated Machine Learning Force Field for Predicting Thermal Conductivity of Organic Liquids NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-03T19:14:14.044136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.