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Paper Citation Record · LEDGER

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential

As of 16 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2607.18099.

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

pith.paper-citation-record.v1
2607.18099 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T16:10:35.091695Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

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External citation measurements

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Outbound references

Observation 14569063-1b9a-46c0-8905-2d0fb132f865 · outbound

This paper cites an unresolved cited work.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Unresolved cited work

Reference 1

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Observation e1d226f7-29e8-4682-9cad-9fbb97411b6d · outbound

This paper cites an unresolved cited work.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Unresolved cited work

Reference 2

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source=pdf_text observed=2026-08-01T16:10:34.904388Z digest=sha256:b6dcf2a2a98b6fe0354ab727034b240194bb4f8d2d4a03a2ad075155945a0c02

Observation efcb05ba-c6ee-4b6c-b77b-adedde8531a1 · outbound

This paper cites Xiong, A.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Xiong, A

Reference 3

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source=pdf_text observed=2026-08-01T16:10:34.908769Z digest=sha256:a63b4a098496051d9f194db21f647f624877cc37de4c89c0da0fc19a1203325c

Observation 93d18d27-2fb7-46a3-9d0e-d00c8a0d0482 · outbound

This paper cites an unresolved cited work.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Unresolved cited work

Reference 4

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source=pdf_text observed=2026-08-01T16:10:34.912713Z digest=sha256:cc8e3aa9467129775be1e7b3a5b6f406a8fc7088361b356a43271529488cad1c

Observation ed532982-f281-4ffb-884b-c7f29f6783c1 · outbound

This paper cites Feuerbacher, T.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Feuerbacher, T

Reference 5

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source=pdf_text observed=2026-08-01T16:10:34.917171Z digest=sha256:a96a4911d6d0c12ec73856447ac7405ab644d60c01ff26cf8e94d273050d54e5

Observation 862579ac-187f-4a83-a5a3-97759fb1877b · outbound

This paper cites an unresolved cited work.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Unresolved cited work

Reference 6

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source=pdf_text observed=2026-08-01T16:10:34.921957Z digest=sha256:afc092ae4893f9c7eb92bb5bd65da628991428d1f1d8861491d05d826a30b6b0

Observation 296c2b49-0b4e-4c24-8343-6657be17c7d7 · outbound

This paper cites an unresolved cited work.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Unresolved cited work

Reference 7

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source=pdf_text observed=2026-08-01T16:10:34.927056Z digest=sha256:e2fc799335ba0f39adb8d11c9d28cde6fbc285a3ea5037e667fb774a3aafc0a9

Observation 2f809cb4-929e-4934-9865-bf7c54c0f63a · outbound

This paper cites Müller, B.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Müller, B

Reference 8

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source=pdf_text observed=2026-08-01T16:10:34.930993Z digest=sha256:3bfc8a586d389879700ed1e19a1940d5a1484a8435948f82ade3db778c7e0cfb

Observation 1bb20860-f777-4e53-b39f-86fa3924920a · outbound

This paper cites Laube, G.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Laube, G

Reference 9

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source=pdf_text observed=2026-08-01T16:10:34.935205Z digest=sha256:1d782ae840cff16aafe4a7d91df625417925780eac5a635da09e2907043dfa1f

Observation 2a782a12-67f0-4746-9310-fa180ad857e5 · outbound

This paper cites Christ, M.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Christ, M

Reference 10

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source=pdf_text observed=2026-08-01T16:10:34.939526Z digest=sha256:2e4862edad87335cf6b0163f461dde7e6aef58501d3586608af14d6bc3184c2a

Observation be765b1d-1c62-4a15-8ab7-bb6383e45851 · outbound

This paper cites an unresolved cited work.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Unresolved cited work

Reference 11

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source=pdf_text observed=2026-08-01T16:10:34.943901Z digest=sha256:d014e21db422feccac65669dc519f8dbfe222107bbe73e85092dbb0cc443f658

Observation cdbe2590-411b-4e9a-8692-3babef784d7d · outbound

This paper cites an unresolved cited work.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Unresolved cited work

Reference 12

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source=pdf_text observed=2026-08-01T16:10:34.948224Z digest=sha256:1aa1a72471dc76d5da6d7ee82a8e0c1bbb3c26e74418b65fd618764cc025dae0

Observation 1b5f3ab9-e4c2-40b7-9063-71cee99f0fb8 · outbound

This paper cites an unresolved cited work.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Unresolved cited work

Reference 13

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source=pdf_text observed=2026-08-01T16:10:34.952303Z digest=sha256:eee2f272338f0c1bbdb58c5ee8c0e885ea844f8d45df872a61eec1b48773442d

Observation f6dae983-f78e-47b8-ac53-172df2d77bed · outbound

This paper cites Gubaev, V.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Gubaev, V

Reference 14

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source=pdf_text observed=2026-08-01T16:10:34.956588Z digest=sha256:141daea92f5960e9b39c60e471da6379d3a8d08f2700a7ce5f9fb881b73a225c

Observation fb708c05-668d-489e-9b75-4a6a1f5bff04 · outbound

This paper cites an unresolved cited work.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Unresolved cited work

Reference 15

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source=pdf_text observed=2026-08-01T16:10:34.960754Z digest=sha256:82709aa0515cb0ed784d6a9ec6605a8a499e9b834bc5c1d54ba9b93826d9bb4c

Observation 02863425-600a-41aa-a05f-6b88094fdd92 · outbound

This paper cites Shuang, Z.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Shuang, Z

Reference 16

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source=pdf_text observed=2026-08-01T16:10:34.965132Z digest=sha256:1d8bb7b1aa6658e4898c999439ce323b3e84e6a1b7bb6be8e9e55cffca8e6e34

Observation 0bc3ef13-0a8e-4791-93fe-bc9c367591be · outbound

This paper cites an unresolved cited work.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Unresolved cited work

Reference 17

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source=pdf_text observed=2026-08-01T16:10:34.969299Z digest=sha256:5f0884165ed134692dc438974e3a3733302bfdb6c914e01f0d92ac62d47f2439

Observation 12cd8c89-c2d7-4419-8f2c-9db83b5b7aba · outbound

This paper cites Hjorth Larsen, J.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Hjorth Larsen, J

Reference 18

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source=pdf_text observed=2026-08-01T16:10:34.973454Z digest=sha256:bc5917625943c79a537d7d3b13fcea183c12790dbc49273d38407f9baf862fed

Observation e9c13854-cd15-4aec-94f0-b015763ed456 · outbound

This paper cites Bochkarev, Y.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Bochkarev, Y

Reference 19

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no resolver link, observed 2026-08-01T16:10:34.978242Z

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source=pdf_text observed=2026-08-01T16:10:34.978242Z digest=sha256:ce76c54b96fd704c6c609fca17d8134c196b1587314102109ce5a39cc5ca4967

Observation 3120a00c-9fc9-4eb1-bbbc-1836b5551c0a · outbound

This paper cites Reiners-Sakic, R.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Reiners-Sakic, R

Reference 20

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Observation 2d7d4fca-8f36-419c-b287-1e0a140657db · outbound

This paper cites Gehringer, M.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Gehringer, M

Reference 21

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Observation d5c84ca2-fbe6-4c7f-a268-055a23d82380 · outbound

This paper cites Metropolis, A.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Metropolis, A

Reference 22

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Observation ae127e49-86b7-406a-aa2c-d5059f799d63 · outbound

This paper cites an unresolved cited work.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Unresolved cited work

Reference 23

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Observation 37563806-ff4f-44bd-aff8-0a74e30b6407 · outbound

This paper cites an unresolved cited work.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Unresolved cited work

Reference 24

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Observation a21e3fee-4493-4972-8880-dd0146a3955d · outbound

This paper cites Dipl.-Ing.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Dipl.-Ing

Reference 25

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source=pdf_text observed=2026-08-01T16:10:35.003560Z digest=sha256:e7cb741717afa7fe89b527ae8f16930c5710e046b2189c2a7cc93e3448aeb405

Observation 532aa9e8-4eb9-42a6-8128-cfd0488664a9 · outbound

This paper cites Kresse, J.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Kresse, J

Reference 26

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source=pdf_text observed=2026-08-01T16:10:35.007824Z digest=sha256:d6a79a4fb53cb446bd6636b41a8d2f9ac0b0bdec0577ab1227e1d2785d61412c

Observation 503c1831-6fad-4012-b5a9-d41f7979340a · outbound

This paper cites Kresse, J.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Kresse, J

Reference 27

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source=pdf_text observed=2026-08-01T16:10:35.012021Z digest=sha256:eb65e1496a6fa0b2319aa13d9bc2677a671dabb771d84611bd379a22bf90ef7c

Observation eaa5eb6d-ed9c-42fd-aafa-0124291878a4 · outbound

This paper cites Hohenberg, W.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Hohenberg, W

Reference 28

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Observation e29b384b-754d-466f-8a94-ec2330efc20a · outbound

This paper cites an unresolved cited work.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Unresolved cited work

Reference 29

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source=pdf_text observed=2026-08-01T16:10:35.020995Z digest=sha256:b8dd9fbe8980be236c619cff59a52b44e5ceab0ecd12434de51d50ffe2fe634c

Observation f34ba252-a035-43b5-adcd-875a64080cf2 · outbound

This paper cites Kresse, D.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Kresse, D

Reference 30

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Observation ae960bcc-19cb-4fdb-bb38-0665c17ec6c6 · outbound

This paper cites an unresolved cited work.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Unresolved cited work

Reference 31

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Observation d4f1e477-9bd1-4c82-b21b-1eb56c4b1d9e · outbound

This paper cites an unresolved cited work.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Unresolved cited work

Reference 32

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Observation 5dd75c54-a3bc-4132-bad9-0d42e3d264b9 · outbound

This paper cites an unresolved cited work.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Unresolved cited work

Reference 33

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Observation 581a051e-dedd-4fdb-8eb1-4945526dcf9c · outbound

This paper cites Abdoshahi, M.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Abdoshahi, M

Reference 34

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Observation 24414280-572d-4dd0-9d77-aa2b8529971c · outbound

This paper cites Hill, The elastic behaviour of a crystalline aggregate, Proc.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Hill, The elastic behaviour of a crystalline aggregate, Proc

Reference 35

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Observation 8664e8b4-b6c2-492a-9c79-b3d865b203e1 · outbound

This paper cites an unresolved cited work.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Unresolved cited work

Reference 36

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source=pdf_text observed=2026-08-01T16:10:35.055447Z digest=sha256:d9f7af3619971b40fb061558656898e65d2a7caeda579939d139f868ea1a85c9

Observation c7cdcf4d-bee0-4286-a11e-487a56dd87a6 · outbound

This paper cites an unresolved cited work.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Unresolved cited work

Reference 37

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source=pdf_text observed=2026-08-01T16:10:35.059939Z digest=sha256:3730973d0be72c66c43c78e346196104f462aa2122e3de541ebbb5724dcf9826

Observation 783d9b1a-97bb-4330-a548-3237b1642271 · outbound

This paper cites Barros-Luque, M.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Barros-Luque, M

Reference 38

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Observation eea46ed7-a1e7-48d5-a83f-47f7bdb4fc90 · outbound

This paper cites Schmidt, N.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Schmidt, N

Reference 39

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Observation a26f9640-b63b-4854-9a37-59071d49927b · outbound

This paper cites an unresolved cited work.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Unresolved cited work

Reference 40

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Observation 0bedcd56-9568-4ad2-9ba9-e590972f5e95 · outbound

This paper cites Holec, R.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Holec, R

Reference 41

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unresolved
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Observation e4d5d77c-dc57-4b3a-a156-34767004fef6 · outbound

This paper cites Dehghani, A.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Dehghani, A

Reference 42

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unresolved
no resolver link, observed 2026-08-01T16:10:35.082950Z

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Observation 2e08b035-22b3-4692-bd54-15090ce3b209 · outbound

This paper cites Laube, A.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Laube, A

Reference 43

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unresolved
no resolver link, observed 2026-08-01T16:10:35.087348Z

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Observation a55bcf3a-defb-4884-a216-a9fa5a08cfa8 · outbound

This paper cites an unresolved cited work.

Study of ordering in (MoCrTi)$_{100-x}$Al$_x$ refractory high-entropy alloys using machine learning interatomic potential Unresolved cited work

Reference 44

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unresolved
no resolver link, observed 2026-08-01T16:10:35.091695Z

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Pith citing papers

No inbound Pith citation observations are available.