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Paper Citation Record · LEDGER

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics

As of 17 August 2026, this Paper Citation Record lists 100 of 104 outbound references and 3 inbound Pith citation observations for arXiv:2412.19330.

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

pith.paper-citation-record.v1
2412.19330 v3

Coverage vector

measured 100 of 104 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:46:41.787955Z

measured 103 of 103 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:13:43.823878Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T09:12:14.898057Z

Reference resolution

100 of 104 outbound references displayed

  • verified exact1
  • verified fuzzy41
  • unresolved58
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0df5689a-61ae-4c4a-9bf7-8961429a90a3 · outbound

This paper cites Freysoldt, B.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Freysoldt, B

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.248441Z digest=sha256:427d71840298a6adb7910b2bd66a74b74559daffc29406f811b88c31483a11cc

Observation c719f390-151b-4e32-96e5-dc580789ac70 · outbound

This paper cites Mosquera-Lois, S.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Mosquera-Lois, S

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.254452Z digest=sha256:bdcccfc1d0f1bdfa0b3ae7406b35b55a9921d76f227a80535502de1246f5bfce

Observation bdcc8987-1899-4560-926e-d717e388ab55 · outbound

This paper cites Oba and Y.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Oba and Y

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.259927Z digest=sha256:e918a85121dab053ed9977636a9e654b0f859679eb56aa5587f9ee7a2d82c8ef

Observation 6689c8fa-5e88-42db-8be5-0df128b338ce · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 4

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.266758Z digest=sha256:d58819d6697cc781dac262400635730840ea830a3d43acc6ea823d0c23bca0c8

Observation df7c5c14-355e-4a0d-9976-649c440f5f8d · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 5

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.272068Z digest=sha256:a844392dbeb1699faec00c835547e488c5c716121f144b29915fe1db12f1ec2b

Observation e1b73b25-e9f9-4108-8b02-1570ba239b7d · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 6

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.277471Z digest=sha256:c2cd8d1e2660593fbbe43222c0a5c6d4226279a72a30815232ea08fdc45feff3

Observation 4d276e24-ba8d-4212-96e0-6bd59f02bc78 · outbound

This paper cites Zhang and S.-H.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Zhang and S.-H

Reference 7

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no resolver link, observed 2026-08-11T00:46:41.284807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.284807Z digest=sha256:c211af8b09a5996e51cc4f1fdb902f027a150b276f6d3e6ce7de68fcad89e025

Observation 2932f90a-b260-4653-8d7f-f8499fa5e60b · outbound

This paper cites Kumagai, S.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Kumagai, S

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.290160Z digest=sha256:ffd4a03aacdc703826c3de9285cee9390a758c7965bc6cc211436e1e1475925a

Observation 1eb54f0c-a055-43fd-98a7-862e13f71f0a · outbound

This paper cites Mosquera-Lois and S.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Mosquera-Lois and S

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.298483Z digest=sha256:820582a613a9863654ef077434726dad7a1f949a2506afaa41e733f9a1a8cd91

Observation 0ad5df4f-fd60-4421-bd89-7904e911b805 · outbound

This paper cites Kononov, C.-W.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Kononov, C.-W

Reference 10

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.304211Z digest=sha256:cab2103541446e3e85bb71c45e5f6482182974f3b741cfd8e4a1c2065c22ae0f

Observation c627a48a-b15a-4428-a36e-bf76a2719b5a · outbound

This paper cites Mosquera-Lois, S.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Mosquera-Lois, S

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.310219Z digest=sha256:9156d3901a4d5a0a9c7d0a87d8994b08cb8909fd8a2bc6056a038143daaffc9a

Observation c172ca3e-c0f2-421b-a129-e7d5e50dffb3 · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 12

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no resolver link, observed 2026-08-11T00:46:41.318041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.318041Z digest=sha256:d30d40277706ab9a089c194166c60e7699df3c9a25bb13c86b61041c5b53304d

Observation 9ca07c87-6fd4-4c9c-999d-3dd9e94d3520 · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 13

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.324557Z digest=sha256:42f0f75db8654cc6366b0761457447dd2bba7eb116899eb9ca2031efcded639e

Observation b0ba612e-f997-4fae-b1c5-a21c56b4d456 · outbound

This paper cites Alkauskas, C.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Alkauskas, C

Reference 14

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.330373Z digest=sha256:208809a1ba767ad1f913ea9bdfd9c1ee6ea747ba34f6b5c375a00bc88ac854ec

Observation 3d089043-7bed-433d-8672-6d3bace8444f · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.336215Z digest=sha256:77d86562d558f9d9d597230b427715960e6d5f49b2bf02496d096f690370a60e

Observation 40121d6b-c64e-4453-be75-04a897f09ecf · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 16

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no resolver link, observed 2026-08-11T00:46:41.341727Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.341727Z digest=sha256:7c94e071e82c71f9012dc31e186e27fb901f3c9aa86816a3e1c568748a3751cd

Observation 5b5aef1f-b195-48a3-9b07-376439bbfc30 · outbound

This paper cites Metastability and anharmonicity enhance defect-assisted nonradiative recombination in low-symmetry semiconductors.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Metastability and anharmonicity enhance defect-assisted nonradiative recombination in low-symmetry semiconductors

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e7a14c4e-633a-4e15-bc75-157c4fc904ca · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 18

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.354828Z digest=sha256:3726a75011b417ad7f2419c80454208afb3bff2ce5ed3c9d7e5001421a664bee

Observation ff7200d3-2c76-4697-8469-64a11aa6b630 · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 19

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source=pdf_text observed=2026-08-11T00:46:41.360161Z digest=sha256:998f6c1c6be2fd396d94e772f5f10cb3847ced03a546dd6ccee7627120becc3b

Observation 6531a895-7094-42b0-ab2e-7e66837fe665 · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 20

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.364766Z digest=sha256:c40fb72c8852f09d2433f507b769d02a149ffa7b5e5a7ed4f17bebd67633208f

Observation 8b9382a4-d17d-4ca1-892f-168f181becd2 · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 21

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no resolver link, observed 2026-08-11T00:46:41.370009Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.370009Z digest=sha256:2fe5f16736c309693ab0d929c12dcc67938df06764b9bed2d75a443d56259137

Observation 0813cfda-45cc-4e53-b5ca-7fd214bc6631 · outbound

This paper cites Lany and A.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Lany and A

Reference 22

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.375018Z digest=sha256:7d6199d2ce77177531190b3f967a71ee94f1110c757a6f08a0f98d973f04f366

Observation ee564699-2911-4068-be98-f97e79c5f89a · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 23

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no resolver link, observed 2026-08-11T00:46:41.379976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.379976Z digest=sha256:b713043b5d06c73d3ab4884ba891017a44a3b1a3ed25106ee7a6d6149468fe57

Observation 76e446ef-d9e0-4747-b83e-51815569ea57 · outbound

This paper cites Portoff, M.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Portoff, M

Reference 24

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.384735Z digest=sha256:39c9e92f653f8c1621e3f7c8a011ab56f7dc366adfb46fcde795be4c1f61298a

Observation f8637b55-13e2-4a21-9087-598eda0f3432 · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 25

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.390683Z digest=sha256:9c357b14a6060dcd153d7acc9c74cba37b015393aba54c2df21fb177dd8c420a

Observation daa85166-557b-4297-9901-5ef4eb20094a · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:46:43.342202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.395674Z digest=sha256:9f3dff10f306216b35775e0ae1374530a38b6f6220c4aa2132a9df161757b950

Observation 1314e988-6415-4e15-adab-45e15d977a37 · outbound

This paper cites Lei and G.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Lei and G

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-11T00:46:43.326424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.401835Z digest=sha256:173d98e9f8d4101e93c64f987c1c6c14cb2b7e6b5de252a5f84a71663a8c9e85

Observation edb6c7d3-7ce5-4b08-9f8b-3b5bbeaec29e · outbound

This paper cites Mazzolini, J.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Mazzolini, J

Reference 28

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raw_fallback, observed 2026-08-11T00:46:43.305752Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.406930Z digest=sha256:9adaa927f18edf7817e554172ac8dfee1ee1874a7dd1078b0f5001b8e09b6222

Observation c985dd21-bb8f-480e-a694-5e97bba7b41a · outbound

This paper cites Okumura and J.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Okumura and J

Reference 29

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raw_fallback, observed 2026-08-11T00:46:43.289836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 3ade98c9-3778-4d31-8bf9-9d60d423b7e5 · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:46:43.274550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5ff6bedd-258a-4bba-ab76-a6932a9a1045 · outbound

This paper cites Karjalainen, V.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Karjalainen, V

Reference 31

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.422268Z digest=sha256:fb75cf656244ea1fca509d308d14cc8dcc46987511915ebcb2eed687c1a10296

Observation fb086c52-0f13-4bdd-aea0-a00e9c6a90b8 · outbound

This paper cites Karjalainen, I.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Karjalainen, I

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:43.243485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation de53b5aa-45ae-433a-902d-779929cb9be7 · outbound

This paper cites Skachkov, W.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Skachkov, W

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:43.228299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c432060e-fa02-4c87-a9df-e1779c6638c3 · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:46:43.213364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 54a8474f-b8b3-4ed9-9067-9c09f51b5efe · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:46:43.197811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 893b7b61-e63c-4b0f-954c-6b4f8a21b09f · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:46:43.182163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 452d2394-69f8-4e68-965a-8f8e37bb5edf · outbound

This paper cites Stavola, W.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Stavola, W

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:43.167261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 63110904-0c6a-4158-876f-4cc82c21b573 · outbound

This paper cites Weiser, M.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Weiser, M

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:43.150902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.456686Z digest=sha256:1e1438742c2f78053fa59f348741f7575471da1619f5ad8a40d685c8d90dfc9a

Observation aa0bb836-c09c-4b41-898a-760a8ae97f10 · outbound

This paper cites Mosquera-Lois, S.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Mosquera-Lois, S

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:43.134745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.461920Z digest=sha256:788cc3e2ad3e153973199b01f8bcd65231d8919ebd35a13868a7466848fcae64

Observation 54b2be7a-5f19-4916-8aa0-639d098e2cd9 · outbound

This paper cites Huang, Z.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Huang, Z

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:43.117537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.466794Z digest=sha256:0a3fbbd14da600577dea80637607f3bc5c2cd47991c9fc04654d168056d3986b

Observation ddd44784-898d-49bd-a040-4a61630321af · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:46:43.102057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.471137Z digest=sha256:5f533ae4322629d40bfab6fad416a65362632db102867ecfaa28c95bbe0443bb

Observation ffb6dc26-c51f-4088-8083-b584f82246f4 · outbound

This paper cites Arrigoni and G.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Arrigoni and G

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:43.084383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.477083Z digest=sha256:8388d76c8a3fac5dce36b65419df9660c2af0fbef23ee843e8676ff4d5315751

Observation 384a4658-f4f7-478b-a38c-b0ba556776c2 · outbound

This paper cites Kumagai, N.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Kumagai, N

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:43.065365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.482259Z digest=sha256:54bb0f1602e85a20acf67b966d1806e0f073ca9ad5eca060f48dc651f442f5b8

Observation 9839328d-3ffc-4a0a-a049-eff859876b4a · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:46:43.047669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.487285Z digest=sha256:da109103ad7c5e48048bd3b610c3ba2b2fcf3109c07eedec26e794c3a2225d7a

Observation 502ac75a-3cd6-4159-9e2c-84395c92d584 · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:46:43.029281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.492234Z digest=sha256:52ad4d25761f1638184aee21e1ef061e8c35ae19d7b605a1d4595bb33abf0740

Observation 147e55b0-1404-460f-9d96-8c7d50342c2e · outbound

This paper cites Kresse and J.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Kresse and J

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:43.007041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.496834Z digest=sha256:ba57282c23d9c2f18fee76294a0fb7f1a44fbaa94866a1e474c7fdb961941506

Observation 0accf838-37ee-434f-90bb-554aeaa6e5eb · outbound

This paper cites Kresse and J.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Kresse and J

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:42.989839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.502378Z digest=sha256:66781a6c28215cf4a59a5a6e0638aec934e53b6332757c5677fe80272a1d8d31

Observation 14514333-fc01-49ac-ab66-a967f1210fd8 · outbound

This paper cites Kresse and J.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Kresse and J

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:42.973075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.507486Z digest=sha256:40f5d0f742e9f23d73ece9d3ce70ababec2826f63dfe5c358d780ae2f44d3f05

Observation 9420953e-e6be-423d-81b7-f586dc8a9a33 · outbound

This paper cites Kresse and J.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Kresse and J

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:42.955884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.511967Z digest=sha256:452426b16e2678dd37ad16f672ec59d4ce9735bde7574aedd3d262b401b8088d

Observation 1132526e-0e90-4413-9596-49f66ad7809f · outbound

This paper cites Kresse and D.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Kresse and D

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:42.940464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.516620Z digest=sha256:4ad4a1fb41bff3f736966d2e5d32f7074302902db621d14302875be6936d2c2a

Observation c5623068-9620-4f0e-baf5-9469c66afdc1 · outbound

This paper cites Gajdoˇ s, K.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Gajdoˇ s, K

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:42.923987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.521439Z digest=sha256:eb366ee009c82ed564636fb9f73245caaf570095264746bb05e099faad1fdb5a

Observation 1effc842-8299-45e8-8a79-30638d709771 · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:46:42.907554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.526452Z digest=sha256:5141a0d5b817b51318b85e08e81d696c012b3e573209d24fd91071bb45aadb11

Observation 0d2300bb-1e34-44d6-9d80-c8c8e37878d8 · outbound

This paper cites Adamo and V.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Adamo and V

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:42.890444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.530875Z digest=sha256:4242e3f5386377bfca3b87373355098db2bcbbfa440ccd1d557cdf06e1c3a699

Observation 6d1c1b4a-0be5-4f3e-986e-48fdb979de9b · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:46:42.874571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.536470Z digest=sha256:3d192f926ca3c4e0cb836a1a11a58aa307952d4d2f854c002752a55a2f473961

Observation 61f800d4-4405-4e91-9628-792fedc45c06 · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:46:42.854857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.541189Z digest=sha256:cb0d5674168f8b090d7c69706a640d31cae495fcbc223e54af675659f6be290c

Observation 3af8b417-0e18-4f4b-a068-20363df5f091 · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:46:42.833686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.546225Z digest=sha256:0a0eced269c3e81db618794f10327c9d3da2974ea0fb391595433655d0b35181

Observation e7d35bef-7974-4120-b62d-ce7b09a3da14 · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:46:42.815552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.550969Z digest=sha256:cc987ce974ad0f2f99ba72e4746a812ebecdd4fd81ad0b4f8002f00febe5df83

Observation dd57b7cd-cdba-4578-8463-e0afe65e8bdd · outbound

This paper cites A foundation model for atomistic materials chemistry.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics A foundation model for atomistic materials chemistry

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-11T00:46:41.555646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.555646Z digest=sha256:f39c7cd8c04e8bd2408799189fee5b5432c77c0749f1266716ab897b064ab5e6

Observation 977b0694-2598-46f5-b6c7-1a1534299e29 · outbound

This paper cites Batzner, A.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Batzner, A

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:42.800107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.560626Z digest=sha256:dc5c5617423c5384e332763e013fc7dea9ef35abc170991b46e5864006a4dd94

Observation 169e44ba-e5e9-4555-ba12-af356f5ee05f · outbound

This paper cites High-performance training and inference for deep equivariant interatomic potentials.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics High-performance training and inference for deep equivariant interatomic potentials

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-11T00:46:41.565818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.565818Z digest=sha256:e1932d8e34d0a780e83a13cda96f260f798bb7c2319f715ec1e63e0d00cb2d17

Observation fe8e56ff-7a3f-487e-9e86-c10ada86d3ac · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:46:42.783361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.570906Z digest=sha256:0231bf47f4d25135695c29da567fbb45ceba1bfe0b7d4221ea0b306162da0f1c

Observation 55af808a-885b-4136-9a5a-3dc2d75f62ce · outbound

This paper cites Mosquera-Lois, S.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Mosquera-Lois, S

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:42.766343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.575690Z digest=sha256:d9af7bf34deff0d03baac4356c226b350088081aeebb74113a2c51fdca63e7f9

Observation 403c63df-3e82-44e8-aac4-72245e2e31e0 · outbound

This paper cites Lany and A.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Lany and A

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:42.747088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.580896Z digest=sha256:902561c79859575b68070eacae58ddd8b127b9db99f147e654d9b19b6aeb2f4a

Observation 2e39884a-33bb-4458-9b4e-79a718f8c77b · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:46:42.729495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.585919Z digest=sha256:c6c94e606a255f8d98fd4e39f19d565384eceb699438645f5eccfd2eb0fcbc0c

Observation 42ad75a3-9454-4a33-9b3a-1dfa9264240b · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:46:42.710464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.591081Z digest=sha256:7e17cb916e82ad791713b58b2ab4abfd875d67942da5e039f2bc893e567f02b8

Observation 16b0c946-dca8-4ce7-9f7e-27f514f1c5e4 · outbound

This paper cites Nicolson, S.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Nicolson, S

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:42.693611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.597575Z digest=sha256:ca0e944f7decc3c45175c1e0c8627e1e9d008fe9af4d20f42bcb05cc69301c54

Observation 8c2d98fa-5ef2-44cc-9302-de22ca7d730e · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:46:42.669299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.603090Z digest=sha256:33c07f09d860807ed72746c9317099b23f18446a24a0908993ec680837b102f0

Observation 7bb8684e-7695-49ff-98bb-e85b38b89d0d · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:46:42.642812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.607819Z digest=sha256:6022de85a9f99b563629b807e354fad54f2cfad51290aace719f12badff8b8a0

Observation be5b1169-28f5-4fb0-92b4-f8a9e6cc988c · outbound

This paper cites Zhang, H.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Zhang, H

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:42.622575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.612792Z digest=sha256:ef1719a0bf745698ba21a781ca3a5a894c90b316d803ca6c70524ab08019e4b0

Observation ec93a325-7e98-4580-9d1f-784fd48808f1 · outbound

This paper cites Yuan and G.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Yuan and G

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:42.605099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.618003Z digest=sha256:fff61d9835fe53b351fbf0e2d16f9e696dc589b49079ca9bfdedd86a967160f4

Observation be85e29c-db07-4917-b42d-af51aa00d30d · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 71

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:46:42.583653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.622938Z digest=sha256:2dd947e2b19ee625398f3bb6ccd6bb57587310338f0f1a95b0791f903ae4d77e

Observation 46391319-cae3-4b26-a7a6-adae12ee861e · outbound

This paper cites Hoang and M.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Hoang and M

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:42.563811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.628260Z digest=sha256:c0c1b6116dff71dda35108a7ee85a9ad61b521bcf77f618c1d390347fb19c57b

Observation 6364de79-9dfc-4f81-a10b-15860b065ceb · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 73

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:46:42.546469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.632934Z digest=sha256:21fb4589145b2b3415d2732a284d07209c3f6a9085df759973a8c4aae9122e80

Observation 16c52742-0bb8-4342-b1c9-6457c4fd5f06 · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:46:42.527737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.637848Z digest=sha256:72cab4d55bafe8bddf2296111c305497c9ffe850ce23d80c1c5a2a57c5071493

Observation 47ca6c74-7d87-4c9d-9a9d-39f7eee3d9cd · outbound

This paper cites Zhang, L.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Zhang, L

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:42.510109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.643663Z digest=sha256:7cc27c7cd43e0a707f1016b366c718cc55a5b70ede00a5c2bd8bd3849d8070c6

Observation fa8766fe-dd8c-4b47-9c5f-fce9b96fc5d6 · outbound

This paper cites Grasser, B.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Grasser, B

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:42.491477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.648531Z digest=sha256:64c75672ae57f2a272740b10a726d63972d662728659c21116662c998e19a09c

Observation aee38291-33ea-4ffc-82b6-99c9aab927da · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 77

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:46:42.474031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.653407Z digest=sha256:5b564d3e2ed5105ce87e8fe968da744096886a9f7a946c638dc4b2bde4df76a6

Observation 8fbc5eb5-abfd-4012-8825-1868b376074f · outbound

This paper cites Kuganathan, P.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Kuganathan, P

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:42.457463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.658019Z digest=sha256:2e2717d7b7beaa2d28734dff5f608f8ef9e0c04acc62e5994300fbd678c3d612

Observation d0fbf25d-e004-41c2-a150-2b7698a0f9d6 · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 79

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:46:42.441626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.662710Z digest=sha256:979d4fa43e41ebc1063751e2b0701f6d9c198c0cd8200f27039aa02fad454bd5

Observation 306501b4-50fd-4b2e-9c42-a7a66decb50e · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 80

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:46:42.424786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 9cbbc731-bee7-472b-961f-823e65d63c23 · outbound

This paper cites Sathasivam, B.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Sathasivam, B

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:42.407762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.673976Z digest=sha256:2107983c57ccd9c4d88720ebec5aeb5b03086d1212924fa450a3d4fbbfafea7e

Observation 44f4eda8-632b-41c3-8445-9a9e04555daf · outbound

This paper cites Han and T.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Han and T

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:42.391867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.679775Z digest=sha256:7d2a73b6169128cb32923cc546579c6891e7b58071a7a52ad167297eaff943ac

Observation 4f75a019-5a20-4fb7-9569-8b96623c05a8 · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 83

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:46:42.375225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.685032Z digest=sha256:42178fbdf734a6114395bc083bfc4c448de380fa17cccda8c1b4664fe4c8f192

Observation cb25cf61-2008-4129-80cf-976346020ce3 · outbound

This paper cites Banerjee, E.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Banerjee, E

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:42.357093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.690538Z digest=sha256:0a238987b63843bb008ec8b144cff755e1d5d0b456a7fc220c6d371a751ec666

Observation 79fc680f-0bc9-4395-a852-cdd92c335438 · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 85

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:46:42.336966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.695596Z digest=sha256:3bb1d3e37e005efe69f0f7afe83e7bdf67ef3b922fb95587e55cafaae2f3dcab

Observation af3f2989-056e-45ba-9dbe-1d0a31d1b003 · outbound

This paper cites Sucharitakul, G.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Sucharitakul, G

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:42.319851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.700333Z digest=sha256:e6e475d831acbd95a730d183bdcf3dbf9f924cbdc1f6efe3b38c889abdc11ef1

Observation 8a8cc134-8144-4e5a-b69d-8206c4c0e5b4 · outbound

This paper cites Vinckeviˇ ci¯ ut˙ e, M.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Vinckeviˇ ci¯ ut˙ e, M

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:42.298672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.705493Z digest=sha256:e503d977575761cd5258f323b10a8342867fd8f6804ac16dd806c741855ec552

Observation 8e1f8a01-1172-4a6c-897a-95d2af3de8de · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 88

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:46:42.280883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.710206Z digest=sha256:9c67972266c2b13ca17650b1a0df77dc985cc56f32848d62189671ea2de64317

Observation 45485ef0-4e79-4f97-bc6a-335374fdf509 · outbound

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

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Matbench Discovery -- A framework to evaluate machine learning crystal stability predictions

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-11T00:46:41.714893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.714893Z digest=sha256:552caeed2e31563ecd7787c800357d1c7f0468d24efc084addf5856e2a5b4dcc

Observation c4d929e0-a47a-4fcc-ab70-71460fa90743 · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 90

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:46:42.264120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.722962Z digest=sha256:fb05be2cc1b35f8105f2cb3b6c6d85237505e0d66945a4e857ca7fb9181bce3c

Observation 8a4f298a-a712-4fbb-8958-04d0b730d0d1 · outbound

This paper cites Batatia, D.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Batatia, D

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:42.247771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.730356Z digest=sha256:0ff6e4e28b7851a905e5f62183da08bbc7c135da774570fe8b960188dfe59879

Observation f5d4e8b0-ebc0-4416-b649-63c2a7335a10 · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 92

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:46:42.228847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.738245Z digest=sha256:ed4daf9634efa1ad812a7416507d7933e29d2db7f4be2f1aac6adac6970b5322

Observation 7eada120-ffe4-4002-b3ac-0ba20e5f86a2 · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 93

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:46:42.212716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.743675Z digest=sha256:db8ebc831c8ef39c54fa441abd3f5488cd19b61d86519aca0659659b652c23e3

Observation bae1ce8a-af93-436a-8942-0d9e042b6eb2 · outbound

This paper cites Batatia, S.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Batatia, S

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:42.197052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.750549Z digest=sha256:2db6ea132865744401cab098234dd107d93501dc1000d5c0a7e25e35d7ae7b69

Observation 428d04aa-27ec-4dbf-80e2-2a0809e9cfd3 · outbound

This paper cites an unresolved cited work.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Unresolved cited work

Reference 95

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:46:42.181319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.756001Z digest=sha256:ef6511e483d8679f7193d90b8d946a234bc7656654ac6b976c91ebe79e4258da

Observation 7aabb96c-1d00-4f2e-b224-a8a5abfc6dd4 · outbound

This paper cites Krasikov and I.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Krasikov and I

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:42.164580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.763450Z digest=sha256:244e1c7fe0cd87459cb33f2d9b5afd1c0627af9c93117b9b9b72fd3fb6e28c7b

Observation 6bee359c-87c0-4829-bca4-2879314f153f · outbound

This paper cites Razinkovas, M.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Razinkovas, M

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:42.145854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.770179Z digest=sha256:a735bc05f95469774b1fb9fce6269aaa7d5bfb31716239539040e5fac537f24b

Observation f3ee5f18-158a-4e35-8613-3f0d3c8815d3 · outbound

This paper cites Xiong, J.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Xiong, J

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:42.113166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.775431Z digest=sha256:6fb93d6b28cc16e83cba0f718df715e693a05288401b2ac64ca5f914ccd0ddb1

Observation a3a0bc68-0d54-454b-9807-af1ab641c775 · outbound

This paper cites Davidsson, W.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics Davidsson, W

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:42.093542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.780928Z digest=sha256:222014c8b1f576c47e52be61acc556001393945df4ebf1809c85f11d1fcf6a6e

Observation 22d8c156-34f0-414d-bc61-a509f3e1ee17 · outbound

This paper cites O’Keefe and N.

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics O’Keefe and N

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:42.075115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.787955Z digest=sha256:961c6e185f5e88a787951b6171ca33504f9deecabbf960954ca4c6bcd9f256e3

Pith citing papers

Observation ea36cfd2-4faa-499d-8499-61e443e24831 · inbound

High-performance training and inference for deep equivariant interatomic potentials cites this paper.

High-performance training and inference for deep equivariant interatomic potentials Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-16T11:13:43.823878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:13:43.823878Z digest=sha256:ef268b49f8b2a7150b9d831f4dfaea40f56d3af302518a3aa1a3103e5b8b119a

Observation ad94bb5a-d321-4f38-8456-cd27f25e8088 · inbound

Approximate Excited-State Potential Energy Surfaces for Defects in Solids cites this paper.

Approximate Excited-State Potential Energy Surfaces for Defects in Solids Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-19T09:12:14.901227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-19T09:07:53.498000Z digest=sha256:90e714d81ab6ec7f1e8b154b4b969a670c5a7b27712fc7895f4eab3afc53d7c2

Observation 72678725-2d46-4ae0-94d8-13ca4c2e4c26 · inbound

Machine Learning Phonon Spectra for Fast and Accurate Optical Lineshapes of Defects cites this paper.

Machine Learning Phonon Spectra for Fast and Accurate Optical Lineshapes of Defects Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-18T22:41:52.909953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T22:41:46.289356Z digest=sha256:98d297ea1c178f2ef6c94f138d832c17db9d1bffe711a514c3ffe91c4bbc6a32