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Paper Citation Record · LEDGER

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$

As of 22 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2603.23029.

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

pith.paper-citation-record.v1
2603.23029 v2

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measured 61 of 61 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-04T05:45:48.759019Z

measured 61 of 61 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

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61 of 61 outbound references displayed

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Outbound references

Observation cf2b6657-4841-4d4a-9c3d-3631bff97468 · outbound

This paper cites This makes the enu- merated model safer to use in sampling the config- uration space.

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ This makes the enu- merated model safer to use in sampling the config- uration space

Reference 1

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Observation 0747eecb-b642-47fd-b82d-5065d627c29e · outbound

This paper cites This can 11 be done systematically with the enumeration ap- proach.

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ This can 11 be done systematically with the enumeration ap- proach

Reference 2

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Observation 649e7e22-6f29-481c-a4d3-0f0c4a39adbf · outbound

This paper cites Here, e.g., model trained using 2- and 3-component alloys could be used for 5-component alloy.

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Here, e.g., model trained using 2- and 3-component alloys could be used for 5-component alloy

Reference 3

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Observation 872c2e86-d601-4db6-98c2-76788edba3f7 · outbound

This paper cites However, at smaller dataset size, fine-tuned models still result in stable structural relaxation whereas models trained from scratch showed instabilities.

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ However, at smaller dataset size, fine-tuned models still result in stable structural relaxation whereas models trained from scratch showed instabilities

Reference 4

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Observation 2354c5d8-97aa-4462-8bff-c9b39795922b · outbound

This paper cites We emphasize that successful simu- lation of phase decomposition necessitates a model that yields accurate results for any alloy composi- tion.

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ We emphasize that successful simu- lation of phase decomposition necessitates a model that yields accurate results for any alloy composi- tion

Reference 5

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Observation eb7338d1-32bd-4d36-80e8-b21dbf158c78 · outbound

This paper cites Cantor, I.

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Cantor, I

Reference 6

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Observation e959a47f-4f1e-434c-9c43-033222979d93 · outbound

This paper cites Yeh, S.-K.

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Yeh, S.-K

Reference 7

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Observation a66320e2-57f8-48b9-8ca8-bca072832670 · outbound

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Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Unresolved cited work

Reference 8

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Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Unresolved cited work

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Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Unresolved cited work

Reference 10

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Observation 6f8a95cf-4f38-4c97-933a-c02993803adf · outbound

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Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Unresolved cited work

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Observation e9f99cdc-1e21-4629-b714-9460281c23a5 · outbound

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Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Unresolved cited work

Reference 12

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Observation 7d82071e-024d-48b8-a7d2-c5506eb7d7e0 · outbound

This paper cites Divilov, H.

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Divilov, H

Reference 13

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Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Unresolved cited work

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Observation 4c9c6b4c-87f8-492c-8183-6a6441b311ee · outbound

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Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Unresolved cited work

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Observation 7a393cdf-ef76-4d13-9d8e-2c28cbaa1bb4 · outbound

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Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Unresolved cited work

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Observation f476871d-7e83-4daf-b19e-5d1d95a579f0 · outbound

This paper cites Cavin, A.

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Cavin, A

Reference 17

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Observation 38d61f8d-1d31-4cd9-bca3-f816ca7fe6d5 · outbound

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Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Unresolved cited work

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Observation 62e5b668-8691-45be-bd34-85e8f83a60f4 · outbound

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Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Unresolved cited work

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Observation c9eb831a-6e02-406a-812a-34b92cae6628 · outbound

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Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Unresolved cited work

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Observation 39d3f755-7543-47d2-b255-67073a8b93a8 · outbound

This paper cites Li, S.-K.

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Li, S.-K

Reference 21

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Observation fb777ac5-07dc-46e4-927f-2a747f1f0f7f · outbound

This paper cites Tanaka, H.

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Tanaka, H

Reference 22

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Observation 61f6a46d-19b1-4b6b-a0c6-f280d5cf5891 · outbound

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Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Unresolved cited work

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Observation b552e914-8ca0-40ee-b8e2-100c3c40b7ad · outbound

This paper cites Behler and M.

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Behler and M

Reference 24

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Observation 3fc82136-416d-4794-b95e-d8e9baf7f4bc · outbound

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Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Unresolved cited work

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Observation 791d15b5-1d66-4e92-9910-9227bdff6bc1 · outbound

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Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Unresolved cited work

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Observation 34d6e5fc-b824-4be7-a263-af33128ef40b · outbound

This paper cites Mishin, Machine-learning interatomic potentials f or materials science, Acta Materialia 214, 116980 (2021).

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Mishin, Machine-learning interatomic potentials f or materials science, Acta Materialia 214, 116980 (2021)

Reference 27

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Observation b4860c3b-4529-4645-9783-a13278aff20d · outbound

This paper cites Byggm¨ astar, K.

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Byggm¨ astar, K

Reference 28

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Observation caa3cdfd-8983-417f-ba26-90c1ae784119 · outbound

This paper cites Zhang, X.

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Zhang, X

Reference 29

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Observation c568c2be-d657-4ccf-8730-934276c58ef8 · outbound

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Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Unresolved cited work

Reference 30

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Observation 575ecf7f-0638-4805-ba6f-e77a7fbd0c97 · outbound

This paper cites Zhang, C.

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Zhang, C

Reference 31

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Observation f09dfb20-fcd1-422f-bba8-e1aaedabde33 · outbound

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Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Unresolved cited work

Reference 32

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Observation d85daa97-d2e3-4c55-a643-7a2c350f0f2a · outbound

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Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Unresolved cited work

Reference 33

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Observation 274a5c7e-8701-4336-8df7-65899e3dd8f2 · outbound

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Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Unresolved cited work

Reference 34

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Observation d0995932-2538-45ce-b2b4-67cbc755718c · outbound

This paper cites Batatia, D.

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Batatia, D

Reference 35

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Observation e3896159-4833-4d11-8fea-38785e060a0f · outbound

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

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ MatterSim: A Deep Learning Atomistic Model Across Elements, Temperatures and Pressures

Reference 36

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no resolver link, observed 2026-08-04T05:45:46.574496Z

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source=pdf_text observed=2026-08-04T05:45:46.574496Z digest=sha256:89a29b413e1f4b5330aeb801ccf28a2be59879e98958d006f8955702fb6731ed

Observation 1759d3e4-ab3d-42f7-99fc-ea60d02135d7 · outbound

This paper cites Musaelian, S.

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Musaelian, S

Reference 37

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source=pdf_text observed=2026-08-04T05:45:46.663406Z digest=sha256:d938226eda94369fb4e116fbff719fa1e66112623822be6b3d56b40f8d45ba6b

Observation 96b83082-b13c-4800-890d-d3125b520a89 · outbound

This paper cites an unresolved cited work.

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Unresolved cited work

Reference 38

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malformed identifier
no resolver link, observed 2026-08-04T05:45:46.719257Z

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source=pdf_text observed=2026-08-04T05:45:46.719257Z digest=sha256:2c5298ae068ce09177a272503d31998df0561ca48a92eb2bf4d3e6a1c4fd2cda

Observation ff2e30b0-95c6-425e-bea4-6eeb7d61d5a2 · outbound

This paper cites Focassio, L.

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Focassio, L

Reference 39

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no resolver link, observed 2026-08-04T05:45:46.833195Z

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source=pdf_text observed=2026-08-04T05:45:46.833195Z digest=sha256:ef1316e7f0005f4855067f8497dfedf46b0339ab13e496e3eda4f1c512d9d736

Observation 447e1deb-135a-4eb6-be1a-d7043cc5978e · outbound

This paper cites an unresolved cited work.

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Unresolved cited work

Reference 40

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no resolver link, observed 2026-08-04T05:45:46.990517Z

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source=pdf_text observed=2026-08-04T05:45:46.990517Z digest=sha256:d0c3a44f5426b4a24a6b9aeb513da1862bf97d59b761fea191627feaad947f62

Observation b2e5528a-5954-46c2-bd82-cd3be1f84de4 · outbound

This paper cites Berger, M.

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Berger, M

Reference 41

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verified exact
doi, observed 2026-08-04T05:48:43.561294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-04T05:45:47.115853Z digest=sha256:0388cb650ef8e26de0f3452baf48e8ffaf15e9aa17cc92afce1dbd99d77344d0

Observation 1da9cef7-f2d4-44cf-b409-4a77740eb61a · outbound

This paper cites An Extendable Cloud-Native Alloy Property Explorer.

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ An Extendable Cloud-Native Alloy Property Explorer

Reference 42

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no resolver link, observed 2026-08-04T05:45:47.240600Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T05:45:47.240600Z digest=sha256:adb0e0154b7959610e46f263386289f0621bab38524998e1d94c1c1eceea7a2f

Observation 51bdde56-6d37-4519-80ff-e459ed3f1221 · outbound

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

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Fine-Tuning Universal Machine-Learned Interatomic Potentials: A Tutorial on Methods and Applications

Reference 43

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no resolver link, observed 2026-08-04T05:45:47.307353Z

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source=pdf_text observed=2026-08-04T05:45:47.307353Z digest=sha256:5a47557fdbaab35bcef2a3b0bb9ed25b1bb94aec6eb3a937c79a7b34141ca0e4

Observation 5be66efa-2f54-4b79-9515-c77a7d7ab621 · outbound

This paper cites Radova, W.

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Radova, W

Reference 44

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no resolver link, observed 2026-08-04T05:45:47.406563Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T05:45:47.406563Z digest=sha256:fbe248940333a28e62af7fdceeb8e4b2fb4f448d88adb8c5a45fb208d45980f8

Observation 58f1e35e-4e93-44d4-9648-550ff532f674 · outbound

This paper cites Rao, P.-Y.

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Rao, P.-Y

Reference 45

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no resolver link, observed 2026-08-04T05:45:47.484345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:45:47.484345Z digest=sha256:ded10b1e2cf112f9beebb76e1df51db9c47cd79d3c01a3873dafc04cb6e5a997

Observation 1f751b4a-a1a9-4e94-8972-b7f99a91ae82 · outbound

This paper cites an unresolved cited work.

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Unresolved cited work

Reference 46

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unresolved
no resolver link, observed 2026-08-04T05:45:47.573664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:45:47.573664Z digest=sha256:899fc14a7edfda818755431f1cf60a3be624f6881e8219d6ae4b78ade9d6a8b9

Observation 9df978bc-77d0-48f1-bad7-f0f39e375fc7 · outbound

This paper cites an unresolved cited work.

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Unresolved cited work

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-04T05:45:47.639382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:45:47.639382Z digest=sha256:688f58b34fb6424b8280ea67819749e059227705dd55cf819a7053e7be131a08

Observation 89b6b685-8170-4d32-842a-0377ddb365cf · outbound

This paper cites Hafner, Ab-initio simulations of materials using va sp: Density-functional theory and beyond, Journal of com- putational chemistry 29, 2044 (2008).

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Hafner, Ab-initio simulations of materials using va sp: Density-functional theory and beyond, Journal of com- putational chemistry 29, 2044 (2008)

Reference 48

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source=pdf_text observed=2026-08-04T05:45:47.696854Z digest=sha256:92259a40e2239936a1a1ab471b2a0716440f4fbac91f041114efd791852509ee

Observation 69bf16f7-be24-4e0f-9e4c-43dceaca0142 · outbound

This paper cites an unresolved cited work.

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Unresolved cited work

Reference 49

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no resolver link, observed 2026-08-04T05:45:47.757138Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T05:45:47.757138Z digest=sha256:e5cb793de62f5baf6efd133c6bea8b6c0ca0a83d69ddf51a9a6c904f36e4043d

Observation e91a337b-823f-4624-8470-c6e69658340c · outbound

This paper cites Batatia, S.

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Batatia, S

Reference 50

Resolution
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no resolver link, observed 2026-08-04T05:45:47.811479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:45:47.811479Z digest=sha256:b66321e891d116508984cd606ec3da9f33509e9f7bd8fe25e4bff95093a86a58

Observation 4407b1ef-19b6-470f-8134-95f52bdd7ef9 · outbound

This paper cites an unresolved cited work.

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Unresolved cited work

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-04T05:45:47.878290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:45:47.878290Z digest=sha256:60b754b95a221da0965459d4d5768f8aa4d24b374335a2192cb1371678689980

Observation b6e2a9c1-b426-4ad9-812e-50b451d9c086 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Adam: A Method for Stochastic Optimization

Reference 52

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no resolver link, observed 2026-08-04T05:45:47.964477Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T05:45:47.964477Z digest=sha256:7872023425e5ea67542e0bdab113315809a6333b4c2e0ffe2a7ea560fdb6828c

Observation c970c694-603d-4b89-9d4b-5b24ad535c7f · outbound

This paper cites ˚ Angqvist, W.

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ ˚ Angqvist, W

Reference 53

Resolution
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no resolver link, observed 2026-08-04T05:45:48.061576Z

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source=pdf_text observed=2026-08-04T05:45:48.061576Z digest=sha256:7f1d3de03aa909c304fcd9505778f76a16f58cec5cff523d0014b963dfe1174b

Observation 459a6035-22b5-4466-988e-2dc5a100c50e · outbound

This paper cites an unresolved cited work.

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Unresolved cited work

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-04T05:45:48.133735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:45:48.133735Z digest=sha256:e934f3b07886a143e9087dcc1bf252156748d8197e23bf2eea61a193a7bebab6

Observation 82f4c4fd-d70d-4a44-8375-9f7de4e502c0 · outbound

This paper cites an unresolved cited work.

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Unresolved cited work

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-04T05:45:48.199496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:45:48.199496Z digest=sha256:9de179003c3b30695764cd8eb1da153970f9ba8f200ee70df5609d742c8751c7

Observation fdd1c121-9b13-4121-a6ec-7a4cff590ba9 · outbound

This paper cites Zunger, S.-H.

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Zunger, S.-H

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-04T05:45:48.282515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:45:48.282515Z digest=sha256:5b5b6ff882ce86ddfe62317586fad577993c3986c457ec8dfbb38a60952d7fd3

Observation 81f5b676-0ee5-441a-bf83-13e55911def2 · outbound

This paper cites van de Walle, P.

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ van de Walle, P

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-04T05:45:48.393164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:45:48.393164Z digest=sha256:8fcaf53748b16f07728a15e9f61d86fc1dd0076aca45c3119b5c5bfe0c3ad007

Observation 956cbe44-71d8-4404-b2c1-80bb778ba06a · outbound

This paper cites Ekborg-Tanner, P.

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Ekborg-Tanner, P

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-04T05:45:48.472748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:45:48.472748Z digest=sha256:c0c2cab8fa4d85b0e8563be80bed90e1be2c711ce08ce25f25585906a9f497bb

Observation d582c089-17d0-412d-8ad5-99b3aee32120 · outbound

This paper cites an unresolved cited work.

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Unresolved cited work

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-04T05:45:48.575816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:45:48.575816Z digest=sha256:51d447112ecaa1e36d89841f3cfe7cf69d860474f755fb6e1053b8e18cd3ff37

Observation 6411ae8a-70e6-4f67-833a-2864fd1e0602 · outbound

This paper cites Kostiuchenko, F.

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Kostiuchenko, F

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-04T05:45:48.692257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:45:48.692257Z digest=sha256:0b34dfa290e735a59d09f7ac5f8adf8bbcc8e8fadaae3dcb577a6c205414f00b

Observation 5e10501e-7961-44db-8c7b-7b51670cfd2f · outbound

This paper cites an unresolved cited work.

Fine-tuning of universal machine-learning interatomic potentials for high-entropy alloys with application to 2D (Mo,Ta,Nb,W,V)S$_2$ Unresolved cited work

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-04T05:45:48.759019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:45:48.759019Z digest=sha256:1cf76c0df325b12f19e4b94d26ccf7439cb6cc9d7c51d0415048cad59aec1e69

Pith citing papers

No inbound Pith citation observations are available.