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Paper Citation Record · LEDGER

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability

As of 21 August 2026, this Paper Citation Record lists 87 of 87 outbound references and 0 inbound Pith citation observations for arXiv:2412.06270.

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

pith.paper-citation-record.v1
2412.06270 v2

Coverage vector

measured 87 of 87 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:56:48.960719Z

measured 87 of 87 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

87 of 87 outbound references displayed

  • verified exact36
  • verified fuzzy0
  • unresolved44
  • parse uncertain0
  • malformed identifier5
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f8e656fe-a1ba-431c-b891-647bd72c4f60 · outbound

This paper cites Grimvall, B.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Grimvall, B

Reference 1

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Observation b5c5a9e5-946c-4e91-8434-4f42bdb75bc0 · outbound

This paper cites Deringer, M.A.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Deringer, M.A

Reference 2

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source=pdf_text observed=2026-08-11T19:56:48.548790Z digest=sha256:1face1fae3bb7636d564d35050949957a11ceab38e13d9090ad1ec3b51cb45bd

Observation 69b4ec6f-59ce-41e8-9dc8-f540e1c92a51 · outbound

This paper cites an unresolved cited work.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Unresolved cited work

Reference 3

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source=pdf_text observed=2026-08-11T19:56:48.553837Z digest=sha256:75d69eeb2723594db39d6c77e9c186812ea7cb190fa26715c7929663bd96ee06

Observation 40429fe8-6770-40bb-81b4-7f59d4bd8adc · outbound

This paper cites an unresolved cited work.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Unresolved cited work

Reference 4

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doi, observed 2026-08-11T19:56:50.005231Z

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Observation 4185e672-83bb-4f97-9ebe-4b611974c933 · outbound

This paper cites Grisafi, J.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Grisafi, J

Reference 5

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no resolver link, observed 2026-08-11T19:56:48.563687Z

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source=pdf_text observed=2026-08-11T19:56:48.563687Z digest=sha256:fadc933b09c61ad9f3795a691648fed556b95cb1071e6537224a9e0a1ea49864

Observation c097c822-16b8-41da-a8b3-9cad772fb551 · outbound

This paper cites Zubatiuk and O.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Zubatiuk and O

Reference 6

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verified exact
doi, observed 2026-08-11T19:56:49.978707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 537a7218-561e-4ff5-bf1a-27e5c96f997f · outbound

This paper cites an unresolved cited work.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Unresolved cited work

Reference 7

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source=pdf_text observed=2026-08-11T19:56:48.574733Z digest=sha256:f3c192a8388204c7b0873742102daf94b50e840b1d033b85e2675be1489a93af

Observation 8666f882-939a-4fb1-8e0a-d0ac83f1693f · outbound

This paper cites an unresolved cited work.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Unresolved cited work

Reference 8

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no resolver link, observed 2026-08-11T19:56:48.580054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:56:48.580054Z digest=sha256:f398ba37c5e195664d7067cd9f07229f87777ddade8ec41624df57554c38adbe

Observation b962e14a-3bb5-4428-9f3c-920dccb0eaa8 · outbound

This paper cites Friederich, F.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Friederich, F

Reference 9

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source=pdf_text observed=2026-08-11T19:56:48.585022Z digest=sha256:d8c0a72f35679500daf46a9a1df0da23628d8331df673bd34fd67cd41bbe9931

Observation 715770b3-dd5c-4efc-84a2-db52271b5d5f · outbound

This paper cites an unresolved cited work.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Unresolved cited work

Reference 10

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source=pdf_text observed=2026-08-11T19:56:48.589980Z digest=sha256:7f4273a541ad0c7f3df8115806d19288192a88553add6639fcb3a4275d47c817

Observation e7ca4b5e-01d8-4109-9fb9-31c1949465d8 · outbound

This paper cites Thompson, L.P.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Thompson, L.P

Reference 11

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source=pdf_text observed=2026-08-11T19:56:48.594552Z digest=sha256:d23ace5cc7de413c7998270d602c8a7ddd70543cd5a3a9710f20c37a65a3862c

Observation 5c337af4-463c-42b4-bb22-2e8170356770 · outbound

This paper cites Wood and A.P.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Wood and A.P

Reference 12

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source=pdf_text observed=2026-08-11T19:56:48.599717Z digest=sha256:39cd2a37cc9549883898b4b9e51c2daae806a4e31e50611745e854afbbfd22d4

Observation 2206706d-5e04-4685-9700-7fc692ae065d · outbound

This paper cites Lorenz, A.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Lorenz, A

Reference 13

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source=pdf_text observed=2026-08-11T19:56:48.605105Z digest=sha256:5202d65c10a5932b7d14236b9667b034a3d763c8f1eb153cb463f67677e50dbd

Observation 78ca2b68-8490-4de3-85ba-69ddda1e8d30 · outbound

This paper cites Behler and M.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Behler and M

Reference 14

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unresolved
no resolver link, observed 2026-08-11T19:56:48.609977Z

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source=pdf_text observed=2026-08-11T19:56:48.609977Z digest=sha256:7a7efeb5e92df041f15b5d72e7671c12eebe7cb789eb28c8548db8072808f784

Observation 4abd93a6-b22d-40fd-8b44-cf127ef2e9aa · outbound

This paper cites Liu and J.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Liu and J

Reference 15

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no resolver link, observed 2026-08-11T19:56:48.614767Z

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source=pdf_text observed=2026-08-11T19:56:48.614767Z digest=sha256:6ef2a001521cc5cf7439c509e3845f2595511d36d6b259ee001429b016a6d542

Observation 4eee084d-0c6d-4d52-89ab-fde48276fe45 · outbound

This paper cites Bartók, M.C.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Bartók, M.C

Reference 16

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no resolver link, observed 2026-08-11T19:56:48.619914Z

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source=pdf_text observed=2026-08-11T19:56:48.619914Z digest=sha256:ba867551721a784bf937858957ea1e64c9a92861df56a358b963cc835badcee1

Observation 441821e2-2238-4d1a-9791-a50cd3a65986 · outbound

This paper cites Bartók and G.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Bartók and G

Reference 17

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no resolver link, observed 2026-08-11T19:56:48.624894Z

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source=pdf_text observed=2026-08-11T19:56:48.624894Z digest=sha256:23fae76740e2e2fe9bdc034fb27b2259432dd4b27efb02c10845c6178f97bffe

Observation 407efdf3-6ea5-4234-b08d-302185501f47 · outbound

This paper cites Klawohn, J .P.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Klawohn, J .P

Reference 18

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no resolver link, observed 2026-08-11T19:56:48.629262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:56:48.629262Z digest=sha256:cc3623406d3e39c9040a28687e994eed1bffe008a667e2a95a0b7d051e97f325

Observation 881b5cf3-e524-403c-8b2e-13dcb49cfbb7 · outbound

This paper cites Bartók, M.J.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Bartók, M.J

Reference 19

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no resolver link, observed 2026-08-11T19:56:48.633574Z

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source=pdf_text observed=2026-08-11T19:56:48.633574Z digest=sha256:f44a3bddf59ef8abc24e6194419168c9c6d851e5221b9dd13bd94b55fa684e37

Observation 4899158c-fbf8-4036-a622-5aa0182bdf96 · outbound

This paper cites Dragoni, T.D.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Dragoni, T.D

Reference 20

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no resolver link, observed 2026-08-11T19:56:48.638195Z

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Observation c0751613-7c3e-4c2a-9c6e-8836dfee7b0b · outbound

This paper cites Raissi, P.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Raissi, P

Reference 21

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no resolver link, observed 2026-08-11T19:56:48.642300Z

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source=pdf_text observed=2026-08-11T19:56:48.642300Z digest=sha256:c361168a34491951d689d6628f3156339dbabe0180d4ec65deb7772e21098c87

Observation 3b716c67-a5cc-48a8-b4da-c4742d484bd4 · outbound

This paper cites Purja Pun, R.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Purja Pun, R

Reference 22

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no resolver link, observed 2026-08-11T19:56:48.646776Z

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source=pdf_text observed=2026-08-11T19:56:48.646776Z digest=sha256:1ef93ccf102514d83a81c02c886c73923e201d1d5a3863f2f9335d208948eadf

Observation bfdaaa67-5503-4dd3-9895-63f7f5c48a16 · outbound

This paper cites Karniadakis, I.G.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Karniadakis, I.G

Reference 23

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doi_truncated, observed 2026-08-11T19:56:49.796115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 37d6cfc0-24a3-4bac-82da-07baa62ccb1e · outbound

This paper cites Batzner, A.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Batzner, A

Reference 24

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doi_truncated, observed 2026-08-11T19:56:49.781405Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation c6203b14-50c4-418e-bc61-38fb8df07ab1 · outbound

This paper cites Schütt, H.E.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Schütt, H.E

Reference 25

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source=pdf_text observed=2026-08-11T19:56:48.661274Z digest=sha256:503f22130eff1054f6873b0c4c60386b1b41070d77dd27a215a9ed36632e5bea

Observation 947de530-657b-44ef-a654-e48494cfbc8c · outbound

This paper cites Reiser, M.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Reiser, M

Reference 26

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source=pdf_text observed=2026-08-11T19:56:48.666009Z digest=sha256:22911d5a63c814c5bd316154a8f7573bf7ad52f4575e2cbd441983b8e9961692

Observation f4e1b18d-9900-4eb3-81c6-c279d916b0c7 · outbound

This paper cites Batatia, D.P.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Batatia, D.P

Reference 27

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no resolver link, observed 2026-08-11T19:56:48.670610Z

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source=pdf_text observed=2026-08-11T19:56:48.670610Z digest=sha256:26658d8b54f9a7fb2695597d34743df5de713b8beb1302b1e39d53842a05d8f5

Observation e52ffc14-8398-4800-9a2f-6087702eceb3 · outbound

This paper cites an unresolved cited work.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Unresolved cited work

Reference 28

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no resolver link, observed 2026-08-11T19:56:48.675521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:56:48.675521Z digest=sha256:69e6c4914db2e0641af4294a3c54a3fafe211111c98e33ec53dc7372c3cbe2d4

Observation 58ea5432-a4a8-489d-92f7-a0ea7a122c4d · outbound

This paper cites Novikov, K.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Novikov, K

Reference 29

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no resolver link, observed 2026-08-11T19:56:48.680203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:56:48.680203Z digest=sha256:f86cfaf8caa0d235b81d21bd4ad8b8bf41571149bca130a4ca12b4b2fd931fd8

Observation c9570be7-c0f6-4115-b3a7-8f062697ff53 · outbound

This paper cites Shapeev, E.V.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Shapeev, E.V

Reference 30

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verified exact
doi, observed 2026-08-11T19:56:49.723685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation b69fa250-3063-4ca0-97c4-5a386eff4bc0 · outbound

This paper cites an unresolved cited work.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Unresolved cited work

Reference 31

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verified exact
doi, observed 2026-08-11T19:56:49.706026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation e2f220ed-a07e-4b1e-92a2-adaae01425ce · outbound

This paper cites Nelson, C.J.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Nelson, C.J

Reference 32

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verified exact
doi, observed 2026-08-11T19:56:49.689126Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation ca32e741-c61c-4b3e-b103-844eadb582f0 · outbound

This paper cites an unresolved cited work.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Unresolved cited work

Reference 33

Resolution
malformed identifier
doi_truncated, observed 2026-08-11T19:56:49.672421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 32b79dbe-23b9-4411-8d4d-20a7e28a8339 · outbound

This paper cites an unresolved cited work.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Unresolved cited work

Reference 34

Resolution
verified exact
doi, observed 2026-08-11T19:56:49.656846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation cbaefc58-c9b2-4d63-ab19-321b3c4a0586 · outbound

This paper cites Goldberg, C.J.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Goldberg, C.J

Reference 35

Resolution
verified exact
doi, observed 2026-08-11T19:56:49.639627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T19:56:48.710359Z digest=sha256:021ffd4e0a7e1470cf47cb82a4319e0b5fff1fec34b32374e5d7949bf1d1c4f5

Observation fcc9842c-014b-4600-8539-44a976ee7a0c · outbound

This paper cites Lee, W.F.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Lee, W.F

Reference 36

Resolution
verified exact
doi, observed 2026-08-11T19:56:49.621526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T19:56:48.715601Z digest=sha256:2cd9664cd8aeafcfcd3c327488acfeb25da81712b41f3b68d4c45351e7811db7

Observation 7fef93e7-1f1e-4a2e-a482-6d29b93ab4b6 · outbound

This paper cites Banerjee, P.C.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Banerjee, P.C

Reference 37

Resolution
verified exact
doi, observed 2026-08-11T19:56:49.605906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T19:56:48.720403Z digest=sha256:05aa51f2fde4f8bf698b640e2301db1caa78afde70505b582d6a9f616577c0cf

Observation 060ec53d-2b61-4380-9ae9-1fc614c39342 · outbound

This paper cites Banerjee, S.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Banerjee, S

Reference 38

Resolution
verified exact
doi, observed 2026-08-11T19:56:49.589949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T19:56:48.725223Z digest=sha256:20b0367b49af92cc17d8baaa7d242e5ec071e573083b86ce8cd9b49e30717430

Observation 0ce4587a-d198-4fe4-b66c-133cc9e67569 · outbound

This paper cites Kermanpur, H.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Kermanpur, H

Reference 39

Resolution
verified exact
doi, observed 2026-08-11T19:56:49.573740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T19:56:48.730183Z digest=sha256:3683fb1cf226fc27f01f8e662a68a9521dc70c1945b48241430bd4ab03bb4c22

Observation dd30059a-a398-437c-831a-b336d3f85b8a · outbound

This paper cites an unresolved cited work.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Unresolved cited work

Reference 40

Resolution
verified exact
doi, observed 2026-08-11T19:56:49.558306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T19:56:48.734923Z digest=sha256:d457c3bfe35e0e17d2ed849ca4d5e26970be563fc7fbacc8d6ad4203b3b74a08

Observation bde08f18-4d1f-4507-b333-fc8821e49169 · outbound

This paper cites an unresolved cited work.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Unresolved cited work

Reference 41

Resolution
malformed identifier
no resolver link, observed 2026-08-11T19:56:48.739405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:56:48.739405Z digest=sha256:74fa40613604f2e8888bb17a8d67f8cfeb057980281b7900c3f70896551898b8

Observation be2f2b0c-d80a-4f69-a65c-8ac8ac8ac0e0 · outbound

This paper cites Hao, S.J.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Hao, S.J

Reference 42

Resolution
verified exact
doi, observed 2026-08-11T19:56:49.529922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T19:56:48.744335Z digest=sha256:475ad540d6c80fd8840f247714c6844102a13cf732834409948c7a0900343a8d

Observation a381f0d1-7bb8-4eeb-859a-0f687dc26be3 · outbound

This paper cites Okazaki, A New Ti–15Zr–4Nb–4Ta alloy for medical applications, Curr.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Okazaki, A New Ti–15Zr–4Nb–4Ta alloy for medical applications, Curr

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T19:56:48.749039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:56:48.749039Z digest=sha256:6db62e82c40b4154b447372f613a524d0e6bbdd90964e9d480c2716f86a30498

Observation 0b8a3b75-26e6-41e8-8eda-dcde624c047f · outbound

This paper cites an unresolved cited work.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Unresolved cited work

Reference 44

Resolution
verified exact
doi, observed 2026-08-11T19:56:49.514204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T19:56:48.753549Z digest=sha256:6f04f86e96ab911e44c2ae6a8b8cb41c8a69eb0898b2896efc06f636897448ea

Observation 30f4c5d8-15bc-47f7-8ff6-cbfc791bc5bb · outbound

This paper cites Moffat, U.R.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Moffat, U.R

Reference 45

Resolution
verified exact
doi, observed 2026-08-11T19:56:49.497073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T19:56:48.757726Z digest=sha256:eafdb0ab663a4c79d565ef39954d9e9d954aac0c6592b90147d62f03988608e9

Observation d02651e6-70d6-4450-96ce-e7b24f9c891b · outbound

This paper cites Zhang, Y.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Zhang, Y

Reference 46

Resolution
verified exact
doi, observed 2026-08-11T19:56:49.480364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T19:56:48.762011Z digest=sha256:e7d1df1ca571d73a7f207ea9bb25e8cbcc869254c18e35b01acb5c5a354dd95d

Observation f47a53ee-6d66-4020-b8b8-d744ab4663cb · outbound

This paper cites Banerjee and J.C.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Banerjee and J.C

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-11T19:56:48.766398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:56:48.766398Z digest=sha256:7987e037ad38d30980b38ddf6b7b69b60ded56ad6c5f38c238933056fc82d2f2

Observation ddec1aaf-0758-4fc4-970e-7940124bb933 · outbound

This paper cites Devaraj, S.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Devaraj, S

Reference 48

Resolution
verified exact
doi, observed 2026-08-11T19:56:49.453756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T19:56:48.770681Z digest=sha256:5afd79a8ccd0de4d48337271ad00ae4fe5180f21fac1102b340b8e1346f41e42

Observation 3c830574-e1a5-4247-a086-b3d1499e4213 · outbound

This paper cites Skripnyak, A.V.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Skripnyak, A.V

Reference 49

Resolution
verified exact
doi, observed 2026-08-11T19:56:49.436599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T19:56:48.775039Z digest=sha256:42889a5ca850ad2b6286fb4c8dac0269bcafc351ea64c65da81c637584a9e7d4

Observation eb7a91c6-660f-4c6a-8e74-751e1f127b6f · outbound

This paper cites Raabe, B.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Raabe, B

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T19:56:48.780593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:56:48.780593Z digest=sha256:d5fbf901fdedd5e6d6d0bdcceda7b775f15fa99d8ad70c2d43692c01422bf16d

Observation 2102bdd5-affa-42db-b16a-ee04bd19c3d1 · outbound

This paper cites Karre, M.K.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Karre, M.K

Reference 51

Resolution
verified exact
doi, observed 2026-08-11T19:56:49.407836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T19:56:48.785360Z digest=sha256:c87611baae447f2fd56960a372741ee4fa8928ba51c1c1df88c61ca1c7de18e3

Observation 20ebe741-52c4-4d53-850c-5091c20c19ef · outbound

This paper cites an unresolved cited work.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Unresolved cited work

Reference 52

Resolution
verified exact
doi, observed 2026-08-11T19:56:49.390308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T19:56:48.790805Z digest=sha256:943d31b4a1d98640152dfc58f23cc05808178b85c5c9be054a2f6e3d6ca22443

Observation 92bf13f2-5c15-4f6b-b214-88078d29544c · outbound

This paper cites an unresolved cited work.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Unresolved cited work

Reference 53

Resolution
verified exact
doi, observed 2026-08-11T19:56:49.374057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T19:56:48.795777Z digest=sha256:222ebea36f416b5e51ccde791653b0b9f357878ea0f9839a191178dc530ce428

Observation 1cf070d4-5b17-43b0-96bd-59d92c88dffd · outbound

This paper cites Skripnyak, F.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Skripnyak, F

Reference 54

Resolution
verified exact
doi, observed 2026-08-11T19:56:49.357315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T19:56:48.800728Z digest=sha256:634d3ce99c1ecf7d8cb19d82ba9b84d1be2b3fd9aee0e861fe9c19fcf3a87d97

Observation 2c41ccac-44ba-4305-827e-7adf3584f0a5 · outbound

This paper cites Skripnyak, A.V.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Skripnyak, A.V

Reference 55

Resolution
verified exact
doi, observed 2026-08-11T19:56:49.340585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T19:56:48.805798Z digest=sha256:e67ea76ce8ede1eb5948d81b0c731287ae8f8948e50e2f2ddc6519c1118fccee

Observation a81dc47c-657d-42c1-8ac4-4a812ffd8f6a · outbound

This paper cites Huang, B.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Huang, B

Reference 56

Resolution
verified exact
doi, observed 2026-08-11T19:56:49.324894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T19:56:48.810647Z digest=sha256:2878bdf2471414d2fd167f002a98efd8022b772a009e0bdf40c3583f32c9d7f9

Observation 20343078-e885-4ef9-bf08-54ee5bac3b3f · outbound

This paper cites an unresolved cited work.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Unresolved cited work

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-11T19:56:48.815386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:56:48.815386Z digest=sha256:be57938df2af408a3864a2dffe004e8cbbc20ef36cf79c4aca31a9350c9572c8

Observation 9560b730-36ec-4ec0-b40e-cb9311b40c16 · outbound

This paper cites Kresse and J.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Kresse and J

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-11T19:56:48.820472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:56:48.820472Z digest=sha256:52876171704f5531ac11c3684393c651e9935191cc51fb8bf583c8fdf192e1a2

Observation 303d1c6f-c979-4b76-a577-6aba63830ae3 · outbound

This paper cites Kresse and J.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Kresse and J

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-11T19:56:48.825504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:56:48.825504Z digest=sha256:044792ab2979f549c333f7ff72864026cc50a4394fd5d99d50234971824b9c7d

Observation d2a1788b-60cc-4ccc-95e2-4f2aac54bf58 · outbound

This paper cites Ruban and I.A.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Ruban and I.A

Reference 60

Resolution
verified exact
doi, observed 2026-08-11T19:56:49.277803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T19:56:48.830970Z digest=sha256:a279a2982cde06d0b68c4dd383f887cfab2e17eec7fe68412c3ba42371532ac4

Observation 697b46ec-4eff-4fe8-9203-6011defeac50 · outbound

This paper cites Zunger, S.-H.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Zunger, S.-H

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-11T19:56:48.836517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:56:48.836517Z digest=sha256:ac880f3ea5da547e86bbe080f6ed2f89c769397eceedf1b499e794d62684bc6e

Observation 44151c9b-24a0-484e-8b25-e22d099b8e0e · outbound

This paper cites Perdew, K.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Perdew, K

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-11T19:56:48.842064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:56:48.842064Z digest=sha256:ed1f92a497a6a80c40ce4e2bbcf83c7d5e7f88f32e3ba3ec59aa5ee3d95c77a1

Observation 195b496e-d890-4987-ad85-ba5f1d1d3a8c · outbound

This paper cites Hellmann.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Hellmann

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-11T19:56:48.847068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:56:48.847068Z digest=sha256:d601758d66b0a8ad757e05671c954796888e5f0157fc2dc1e951602ff65ea0f7

Observation 5d763ca7-81d5-4e51-a814-4d5f9986e6a3 · outbound

This paper cites Tasnádi, F.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Tasnádi, F

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-11T19:56:48.852292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:56:48.852292Z digest=sha256:a0e89b11f05263c6bfc07623aad0d86662c3bb4a1e67e26991009dec1809967e

Observation 8771a57e-e6b3-434d-b3d7-4b3b640fb846 · outbound

This paper cites Plimpton.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Plimpton

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-11T19:56:48.856943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:56:48.856943Z digest=sha256:43397303d67a4c1eeb8a5b8b5f1f94fcf3a94757f150ef7e64f57220ffe8e6e0

Observation 849d457a-6072-49be-ad97-1d9ddaaef42e · outbound

This paper cites an unresolved cited work.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Unresolved cited work

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-11T19:56:48.861671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:56:48.861671Z digest=sha256:678002c82f9253b45625ac1ae738869f458110f80692a56aa1a170612cdb19f6

Observation bd94bb26-62d1-4ad9-8b01-9f2f9d53a274 · outbound

This paper cites an unresolved cited work.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Unresolved cited work

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-11T19:56:48.866494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:56:48.866494Z digest=sha256:adea2101e35d5d840d5ad0b60f040fd65a66efc2e3bff221ecb53bf8507a6446

Observation c4e311c2-10d0-4f91-a764-f8bd31ec8b6d · outbound

This paper cites an unresolved cited work.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Unresolved cited work

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-11T19:56:48.871496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:56:48.871496Z digest=sha256:247a1ad36b12fcf8ffaeea7448137cf70cf4db0f24dbde820c2ea4ba332773ad

Observation ceb91fc6-3b3b-4e5c-bd05-76c36eb1a729 · outbound

This paper cites Wortman, R.A.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Wortman, R.A

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-11T19:56:48.876351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:56:48.876351Z digest=sha256:0dafc2a37881ffd5d6c61fd607a7952c4b5c914c7ffd029a33709eb26f1ace9c

Observation b435c34f-62c1-4658-ba48-f923e534bcb4 · outbound

This paper cites Zhang, R.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Zhang, R

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-11T19:56:48.880640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:56:48.880640Z digest=sha256:f0dac2fbfb3518cadc6feab26b90451e86751f6e223e818796f2f54793eddf20

Observation b3f210bf-3c39-49c1-b259-d0e1ae749a42 · outbound

This paper cites an unresolved cited work.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Unresolved cited work

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-11T19:56:48.889730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:56:48.889730Z digest=sha256:633e144cc4cf8b69cc1da8bbb074a472aafa81880be2137a1e681c2f0972ac47

Observation 042f8bc3-e995-416d-872a-8873ba46e3af · outbound

This paper cites Tidholm, F.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Tidholm, F

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-11T19:56:48.893928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:56:48.893928Z digest=sha256:d677068638700a9650d3475f3aba5cedb03694016964fca41f276774e631487a

Observation bcb62367-8898-481b-8abd-fcb23bc4e627 · outbound

This paper cites Saito, T.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Saito, T

Reference 73

Resolution
verified exact
doi, observed 2026-08-11T19:56:49.164729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T19:56:48.898458Z digest=sha256:10df14819599398ba2c5b75eb2a9516ee04b21f803e52c23e922c34803e3d841

Observation f75fa06e-9a8b-43b5-80ea-11136d4bef5f · outbound

This paper cites Asker, A.B.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Asker, A.B

Reference 74

Resolution
verified exact
doi, observed 2026-08-11T19:56:49.148082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T19:56:48.902629Z digest=sha256:93f8500fc4a6595dd0f04b789c15053668cf23ad3fe364d577f18605acbe1d7c

Observation 0ec627e8-2a5d-42ca-a9c7-451808a55f35 · outbound

This paper cites Korbmacher, A.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Korbmacher, A

Reference 75

Resolution
verified exact
doi, observed 2026-08-11T19:56:49.132601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T19:56:48.907664Z digest=sha256:ce31b05a5a84d5ea1f41a920fd5d4ba553e267f72ca3e1da1942f716f7bbf4d0

Observation b59a977e-30eb-4b57-b233-e5ee43d188d5 · outbound

This paper cites Trinkle, M.D.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Trinkle, M.D

Reference 76

Resolution
verified exact
doi, observed 2026-08-11T19:56:49.116641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T19:56:48.912490Z digest=sha256:275f7cfe57538fc2ea8a9875d40be8ec6a119fa743b2a500f703b54ed1b2d5a3

Observation beeb5814-74af-4dce-b053-512db7506387 · outbound

This paper cites Dubinskiy, G.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Dubinskiy, G

Reference 77

Resolution
metadata mismatch
raw_fallback, observed 2026-08-11T19:56:50.338679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 6daf2a78-e0ee-4d62-a059-971c8ae32894 · outbound

This paper cites Kim, H.Y.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Kim, H.Y

Reference 78

Resolution
verified exact
doi, observed 2026-08-11T19:56:49.100209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T19:56:48.921656Z digest=sha256:0d4a4f43717c5476ea4415f1ec54eabd86ea791a2c398f19c7d7503973a52fbe

Observation c52c5cac-14d5-4c9f-b9c5-810d325a2356 · outbound

This paper cites Inaekyan, V.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Inaekyan, V

Reference 79

Resolution
verified exact
doi, observed 2026-08-11T19:56:49.083992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T19:56:48.926675Z digest=sha256:cfef01d2b88a8a5ed6d3bcf30e1c76bd081102a9d6191318d15d8446355688e3

Observation 8c44dcba-2042-4369-8416-8b4dff119a26 · outbound

This paper cites Biesiekierski, J.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Biesiekierski, J

Reference 80

Resolution
verified exact
doi, observed 2026-08-11T19:56:49.066299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T19:56:48.931334Z digest=sha256:596d5763382e9fc098505133f10ee299d1611f650b50da0f07a2ca8028bb9971

Observation 78eb984f-5c69-46cb-92b6-398b51bcce55 · outbound

This paper cites Sheremetyev, S.D.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Sheremetyev, S.D

Reference 81

Resolution
verified exact
doi, observed 2026-08-11T19:56:49.050188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T19:56:48.936312Z digest=sha256:f3e4d0a6c566284d267c6f796dc3537b9d857ed4528fa0a7bfd58ee28ea12ac3

Observation 2fcc0f27-a712-4fe5-9073-67229fc8dc5b · outbound

This paper cites Salvador, H.P.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Salvador, H.P

Reference 82

Resolution
verified exact
doi, observed 2026-08-11T19:56:49.031507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T19:56:48.941025Z digest=sha256:a2f30bc16e9f1183e8d5b80ad38b4add2d586f7d34468b565ecf28b3b72aa17a

Observation b4fc5a3c-b0d7-4407-b988-9848db1f7ec2 · outbound

This paper cites Qazi, H.J.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Qazi, H.J

Reference 83

Resolution
verified exact
doi, observed 2026-08-11T19:56:49.015876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T19:56:48.946354Z digest=sha256:90930777ff3e47c94172ff5548d951b28b2e3880b02a08d8f415563cfeffb9ea

Observation 019b9fef-4adf-4257-89b2-d2919c624273 · outbound

This paper cites an unresolved cited work.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Unresolved cited work

Reference 84

Resolution
metadata mismatch
raw_fallback, observed 2026-08-11T19:56:50.242709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T19:56:48.951454Z digest=sha256:21df157a608ac8540a879dae697d0f21efa47650235597ab5bd66816cf7711af

Observation d3fc065f-b7a9-4d96-bd49-a6ac3ca02309 · outbound

This paper cites an unresolved cited work.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Unresolved cited work

Reference 85

Resolution
verified exact
doi, observed 2026-08-11T19:56:49.000016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T19:56:48.956141Z digest=sha256:ac7cd3a13b25841d4df851e2901712ed3b0f29042aba5fc4ed06109eeb5857d5

Observation 1a6756f8-0222-4918-8ef3-9c4c0116b617 · outbound

This paper cites Data for: Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Data for: Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-11T19:56:48.960719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:56:48.960719Z digest=sha256:bf9b53aa8e0f20fb9bcc35d94bfda8243533f7d89a18b72a9861b85e25c7cee3

Observation 071ce3ef-f13d-4906-93da-2fff16d55789 · outbound

This paper cites an unresolved cited work.

Machine learning interatomic potential for the low-modulus Ti-Nb-Zr alloys in the vicinity of dynamical instability Unresolved cited work

Reference 517

Resolution
unresolved
no resolver link, observed 2026-08-11T19:56:48.885164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:56:48.885164Z digest=sha256:6f1a690165e447c71c4b8932a1260a8c3c24ee0200b0a00ae2b06f2e730e94a6

Pith citing papers

No inbound Pith citation observations are available.