Pith. sign in

Paper Citation Record · LEDGER

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

As of 11 August 2026, this Paper Citation Record lists 100 of 104 outbound references and 2 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 102 of 102 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-19T09:07:53.498000Z

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

Resolution
unresolved
no resolver link, observed 2026-08-11T00:46:41.248441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.248441Z digest=sha256:ee29ee0faa44b5d11894036d3c855bc54e089693c8e39b72be42ef03f4475a1f

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

Resolution
unresolved
no resolver link, observed 2026-08-11T00:46:41.254452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.254452Z digest=sha256:88c478df5ab59380aead4e7fd5ab65137d192e6d83a3238284240702ed7adca7

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

Resolution
unresolved
no resolver link, observed 2026-08-11T00:46:41.259927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.259927Z digest=sha256:cb42bfb7149602c9a897e345515a9cbc40057b09013ef6c1893b900e3cda269b

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

Resolution
unresolved
no resolver link, observed 2026-08-11T00:46:41.266758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.266758Z digest=sha256:cc3682795db2e5c5f046716281796d55c6bbe7ac753ceb2de7fbddd2cc73e588

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
unresolved
no resolver link, observed 2026-08-11T00:46:41.272068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.272068Z digest=sha256:3287bdfe7c725443d5d0d7d08f819b65563ef28befb0f87bb21a295d73e844e4

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
no resolver link, observed 2026-08-11T00:46:41.277471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.277471Z digest=sha256:1c283d975eac547e0c8f39a0bc931edb34fdecde80c6f021496d70dbab7e9862

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

Resolution
unresolved
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=sha256:8c359462ad91e8cfeeb8879d8e7e0d6dcb8a96e8437d7c7fdcc2532366bda48f

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

Resolution
unresolved
no resolver link, observed 2026-08-11T00:46:41.290160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.290160Z digest=sha256:bff9bb7b9e2a38b3023d731cdb95b564b2acb7fcf7a9f233c50ecc0ac70d53ec

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

Resolution
unresolved
no resolver link, observed 2026-08-11T00:46:41.298483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.298483Z digest=sha256:c3667754db0dad957df2db9e2a7f3a197c4b54ddaaa5c2e2927b5ec63e7fcd3c

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

Resolution
unresolved
no resolver link, observed 2026-08-11T00:46:41.304211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.304211Z digest=sha256:cd491b02decf7cc370d53b0a9f8e448fc2f1cf67776f650eb2878e829eb1433f

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

Resolution
unresolved
no resolver link, observed 2026-08-11T00:46:41.310219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.310219Z digest=sha256:f45e03f269f09d3ec08cc28bb263a8ba3c8d7190df154660238a13662443f683

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

Resolution
unresolved
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:f5c569196fb14fecd38b1deaaa8953b349bf1e664b35bfd44e8992560f6d5860

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

Resolution
unresolved
no resolver link, observed 2026-08-11T00:46:41.324557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.324557Z digest=sha256:fdaab906aa213610476b1c827be793dfd0eda8cb35b0c381a46fdd4cebbd4793

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

Resolution
unresolved
no resolver link, observed 2026-08-11T00:46:41.330373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.330373Z digest=sha256:700aa17836aefbd7449bae86bc17cf0e0e708f4bcc4c6d35fd250c5467a54c8f

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

Resolution
unresolved
no resolver link, observed 2026-08-11T00:46:41.336215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.336215Z digest=sha256:bb1d36c8ed73addcc2883983742522e1e3c2305600a11f193d8e59e53917476e

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.341727Z digest=sha256:5a0863161eebea769e5f9ba4f276922b07ee8c182fe001d8903074fdb0609230

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

Resolution
verified exact
local_arxiv, observed 2026-08-11T00:46:41.994355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.347428Z digest=sha256:8af7ab65e424971ad3b274475bca59146cb97a9303eed1cef60af21eb61604ad

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

Resolution
unresolved
no resolver link, observed 2026-08-11T00:46:41.354828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.354828Z digest=sha256:b245cc3cb6940b9a737150bef3422a3f4c21c2625bb891a45d86e5041ce6c6b7

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

Resolution
unresolved
no resolver link, observed 2026-08-11T00:46:41.360161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.360161Z digest=sha256:5d9b35b8482827d6960c8bee4ee237dd95827bc64b262d9574e3e2ec6599aa70

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

Resolution
unresolved
no resolver link, observed 2026-08-11T00:46:41.364766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.364766Z digest=sha256:5cd41a5a0c66af013b77d1c9566d4aef29769aba6608ca917d3dde3950deaeb4

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.370009Z digest=sha256:f8784a5bdc6a3ad78c217c451cd7ec0c702c1b34c220c6f90201e30da80a83f2

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

Resolution
unresolved
no resolver link, observed 2026-08-11T00:46:41.375018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.375018Z digest=sha256:d4e94eab3d3a90784d275e9a6ed9afa954198b9ed3265b8e3408a0bc108ffe38

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

Resolution
unresolved
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=sha256:3d3bf59b6bf628841b2a73eeda4b2c32c3f14375bccc3cec0f75088f563ef422

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

Resolution
unresolved
no resolver link, observed 2026-08-11T00:46:41.384735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.384735Z digest=sha256:d004687a159c8201277cc1d60f1042855609cd32995fed2ca5b82e744de8b256

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

Resolution
unresolved
no resolver link, observed 2026-08-11T00:46:41.390683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.390683Z digest=sha256:e74fb10cf5b9aade28ab6b0f5805b90c33c1f2f2eb550f06edcf046a50224942

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.395674Z digest=sha256:517df2a940306f39f0ad4ebe074f0433dca2875eafd8314794a81524e7f63eb6

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

Resolution
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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.401835Z digest=sha256:0d671f475c631d14da6472680247817be8f0fcaa4c8f3c0c5f2de77ce2b394b6

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.406930Z digest=sha256:578b14825667153aabff95caa8b66074002a3c6c103d8bb03ca4105a8398dd3d

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

Resolution
verified fuzzy
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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.412567Z digest=sha256:7360c178629915ae2deb55e57244164b77b37405062960cf9d5a3d93d23e0253

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.417417Z digest=sha256:37026a356fb25885d4116bb28ea041994bbd3a4b3b62a03aea07e42acb7ba5c2

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
raw_fallback, observed 2026-08-11T00:46:43.259827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.422268Z digest=sha256:fa0e6b4302bfd218c19e0bca1880015d4a253e5e87f562ce05316cd1e2b9894c

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.426989Z digest=sha256:102dd964d36d3ca9a7cd6308da5d332f02abf8cd4d2205a3269c1ee3923adeec

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.431565Z digest=sha256:63ab269faef1149f5dd6bec57fa63a1ebba29b7bffb1138e418c112da6352543

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.437063Z digest=sha256:8e94fcd5c7bf94396eba1942202fe5c67a435b09a1d7b9b71a0671389c1935b5

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.441695Z digest=sha256:f9cdc155e1ff63c7063f655e7c90b390b442fc81618917385314dd71afe94823

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.446821Z digest=sha256:f3ea7a294524b8e147dc6773349d4530d69a4b839cfd1a0d01bd7bdbba550474

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.451615Z digest=sha256:013105f0c61bf633a2a0077abeb263dda6f59375648597e52f80591848fd1026

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.456686Z digest=sha256:af7e8c0c1c188804449dfe12b30cb6ab3ab4968637830d21e54a3a3c78f150ea

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.461920Z digest=sha256:191d22f8dd39fd579b84124a4dc124a5036c1c613b0b72a2c67f7faafff2cfb2

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.466794Z digest=sha256:0d6db1e48454f3fec145aabee86e238d3d74ceac2dbc28b920d8c121b6ced91a

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.471137Z digest=sha256:75c3d6c7ab0bee2eb7d5e3ae76d16d9f5dc053a4c1dea438161ae69e23c3de27

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.477083Z digest=sha256:7729d59281df864e4358f0bc1b8e558324d00ebe862aa742e36a277fba02d67c

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.482259Z digest=sha256:cddc10ef2ceaf4d8c52629993bc5458684e16f9f585a7c4e5f5c7eecbf1b8b3b

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.487285Z digest=sha256:b18ab117e343817deb8d4f31996ab7cfe48deb2b50d1d97ff7a8d2e45a67cc5d

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.492234Z digest=sha256:fbfb29b32a3c3580f491894f677fce7d497c87ced282989888e42c638dd24f38

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.496834Z digest=sha256:22dda403c70a8cfb235a5711ce0f6905e081209e0a5ddb7269532e2635bd3ea8

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.502378Z digest=sha256:36b33188ee75a61bb4c74575eba2791771951eafbc9fc2eee4c60fa8ee305767

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.507486Z digest=sha256:1692a87af2733cbedec4a584ff28977ade94600cb1597e5a6ff5019cdb4289aa

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.511967Z digest=sha256:8a5020d578bcc80577957fba3115fcb6e14d85e1aa8ea59e764c5527e7180333

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.516620Z digest=sha256:0516c82b6a68587e3713558bdc0accc6a5ed47ad68499ab3c835cbc46f600c5b

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.521439Z digest=sha256:a0a57c52096695099d249da51640792e2c95c9ec5e376d4c48a7010ff79920e3

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.526452Z digest=sha256:b747af8f56a063b95c33b00eb8a34557611416316825aa0735ec074523dd53b1

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.530875Z digest=sha256:f00b170ca6e36a187e6adcba628e89e2c1cf05983af5719ffde5521d5a22bdbd

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.536470Z digest=sha256:63bb846aa3edf97ee272f8991a4df2ab785034053d3386aae6f8ab3f53f05878

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.541189Z digest=sha256:93856fbda7bec1241d3724d87244761f5c2bcbe302b4410b9ed5b885847ca9ef

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.546225Z digest=sha256:d9cff016261ac7f2e5f61781a239de86f4935ecf82f781bd6a80975275b552b8

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.550969Z digest=sha256:8ba3465ecfb2cdde96f3f122d60fc80a61d9510e2f7b6371379fdfd96d31259f

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=sha256:97cb94096cfabf9d4cfb42e34eba0b641a1c7f877d4067093eb20f0427f6977a

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.560626Z digest=sha256:1dfa6bf96a69793894fcb91be57b9cca9ec3030bf47f11183ec99e822d4c6dfa

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=sha256:2d413c7e8a0e42a0ba1377a6694b555ba97673536d775bee624fde800ca886a5

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.570906Z digest=sha256:8a1e01f6e838eebf60ec12109a18f3f478091fe8aad09f6c13f9cd85564f8460

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.575690Z digest=sha256:2518f98bd2b795deae4b1285145f63f0e0b908b667b5a585ca1d3c1957f70172

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.580896Z digest=sha256:98ea61de643d399e56eb520c8b5d768e5e2d661ee19be66ed1a0d7469029247e

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.585919Z digest=sha256:21e42aff8622f7b5594e740f3c66b93668d7086c4dd0aaa108e69725bdb32eff

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.591081Z digest=sha256:c9d238305284cd70e3bcbed74959d3c03f7df9339c62d2315871b9b6c5b341c8

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.597575Z digest=sha256:f74115aa79febbf96f033797c8fd925a7de17363017c4b1bbfa04216c0c57b6d

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.603090Z digest=sha256:7d5ec81f2a993396ade685ec86f4a2cb8e27d2ae39649a75087ab15cafd791fc

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.607819Z digest=sha256:220a747c807b398b2cc77a42decc4b639b498e91a9fc321a413ab46382f65d43

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.612792Z digest=sha256:cae1ad3d51e662bec8770cffdeefe28f6164fd69b11f06e5d1954f3c143783f1

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.618003Z digest=sha256:8f32a1616ba0b1a2e964ccb25475d1c692457726debc5a82c207b0ea954377a0

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.622938Z digest=sha256:a7fdf7d6eb7713da3f332492c71ffad11aba50df23039cde1422b2f5f2e1db60

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.628260Z digest=sha256:6ce5511c8f6b2917ee70b3d4d69a2c109e39fbc37629fface6d1d13b2a5aa742

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.632934Z digest=sha256:d4460cfbc1105c4820f727515ddbb13d40ecb994b4946a7ef5c65aacd2e04f64

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.637848Z digest=sha256:a7f0e119f0118a4b0a3d3c5283686feda3ed76b2c03eb755e7a79a00a36d8b52

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.643663Z digest=sha256:6f1014590c661488bdce4860724ab885f820872d6aed42e6bbe89d39239443bd

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.648531Z digest=sha256:7b3699e23c2ad9268069d7b6ad508b797e905db77301f4c0079498cafb8ef5a5

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.653407Z digest=sha256:b7e603603b6810e8b4b79226572304ed968ad5931aedd2e85ff2adf55c620b25

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.658019Z digest=sha256:a7c85406af7db8b98ea3cb3ab3bfdeaa1e062e4e03b3a888f22fc4588c0970dd

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.662710Z digest=sha256:ab092b3799e9f051b4fa5d45730449126e2cf098a0e61a117e5e31b2b49567c1

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.668255Z digest=sha256:7b7426f82c032a93978f4a197e0b055fdb737c94a9c649255c3f7626cfd01c68

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.673976Z digest=sha256:ed4e449763bd22d37ee405dbc5f81a24db5277840b8214fe3599abe489b21419

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.679775Z digest=sha256:ac745dee7153f06c90dae49d6941d6e6de0b0b613f5a5e95132e9820c42d34be

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.685032Z digest=sha256:ad4dfb15e240d6503361ab3e96eeb4d8ff021262f25cd5a4177d9e51a360c84c

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.690538Z digest=sha256:a68582b4cd4abd504960d31bdaf208d7f31c265f00e858751c9ca6e6ec60379d

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.695596Z digest=sha256:48aab5a8f4e98a5f6f3690ed11f597bf731e927165fb7540260ffce61bcf6612

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.700333Z digest=sha256:59546d4d8c4718c605cffebe1118b14a8a99caba8a9f6dbfeb75202f226aa604

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.705493Z digest=sha256:b108c3d090e81cd30fd1d7b7ed95672c40c7f635dc77819026805c045fcc353c

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.710206Z digest=sha256:fd387d899bd70850c96635ec075132d773731f2f529470acb5be39c7d619b3ae

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:e48d68014b852dbf5accde985cdc4d2724d1b4b1d66ee9e1ac29e5db161b489d

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.722962Z digest=sha256:5035af1d8a9c7ef09a202dd7c9bb5f1f2e9d0963ef8fd881e545b0c6dac21adc

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.730356Z digest=sha256:b283f962d770ccb932a59591722cca062150147295766277a2063f82c298ed40

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.738245Z digest=sha256:32f7c13f043fd6669f99663381647b5c5ef6902c4cd057ac065ab6780f062be3

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.743675Z digest=sha256:91acc34a7f4346b036afca8f0bf2e2ea63f688a20825039bd61ed7fd51ac3e7b

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.750549Z digest=sha256:6073a7519086e666e601c2b3a6aefee9e2cb6ed097e289dc6de03cbfb7fcab79

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.756001Z digest=sha256:f79a514d3767a7699f0ba8622021fab469a6fb688121b20931580f560545b7ee

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.763450Z digest=sha256:44d1ce9261f4e46e41dc09bae4016fb8e3196d9d8f52df1aad343f09c5a3b160

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.770179Z digest=sha256:59b163d9db3002d49e91557ccf0822a71c3fe0f9bbe63535f6dbee15d029406e

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.775431Z digest=sha256:2be4824877c50ad3c9878b20782b7350fe5e045ddfbfc2abf8d3361a7182005f

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.780928Z digest=sha256:fa4d5404e039fa8908a6538b31e861b9c72749bb604d73c213c7193c681406ff

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T00:46:41.787955Z digest=sha256:0c2e466ef9da7b9f3a0ba40cc0dd97c9ea82e4925a5d3093f5b16efddf250646

Pith citing papers

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-19T09:07:53.498000Z digest=sha256:683fd3d2c42634ea3a6d0187263cd8b0039a36a84755c65808f0a324a173ef88

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-18T22:41:46.289356Z digest=sha256:4e44cb6a820a1ee96f2aee54c65aaedf9bdc618a74b2bf95dd2ce4d1b78ccd89