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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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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=sha256:68e4a7638873c6f929bf7591d6043824a8d7be506eb37909212ccdbb64542275

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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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=sha256:5d9716225b83da556f114a75f3ca79dec1615ca165094e171acd3dcff82492f3

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=sha256:85c4f739118a690128d64f764b4f8f71bd0bf9661418e13b8c7bfcc7a5bff2ac

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
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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=sha256:0eae1af6a1d9c4aedaffbcc04485f642ae4af89c02afdc92bdd6f01f4aa0ef2b

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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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:dccdc3d105d39497efc0609cd55dbd31dba065fefaf0d4f1c721561211740fe5

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=sha256:14570315f3eec7d7263b430320b7be32327eef496e155c1d764c1f8c6672c23c

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
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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:a6939b894ef872c9045312cdb639bf2c86f268b4d332ea09d6a34157d571cdd6

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:b71952c3f920d01cc23f936965c5f06b9e1044f75e03e81b4a877f087da9c213

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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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:ee3416bbfbdb1ad712f0eabee4c2364717d9a0515334aa3071d1daed20c8eea6

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:fadf17cff729b6313836d0fb747bfa2de16e43cca5b5ce45685ea5a27e5e6177

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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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=sha256:437cb189da9f35a4bba83864589bb2edb13f9574a9e4babe5f122b28aed6dfbe

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:d1f562bac0c2a89486977b9f1a2fad00d7529a6f3f2c78c2397e03e638fa5abc

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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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=sha256:5b60c69bec66bbcd2038e4efe904766cf5ab4b1476812b362413bac82f396530

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=sha256:66a25f2aeac8d24e010411b19b9035cf495c42b73153093116f585622e6f901f

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=sha256:598feab5ef64be80c2b7fcdfb490e9c9aa66e2b4c7b48fc9bce4ed49eb487e89

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:bf73be78e5307b1694d824959cb27cc58f69bd5121840611e70e107f5b962f76

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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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.347428Z digest=sha256:5b9f287f49a7f68c981bb08ceeef0fc182898f5e13d2a698352deccbc5f54211

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.354828Z digest=sha256:f8bef5016619625ab20fa17d4188d6c264c80585b6858da323727dcd87d050c5

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.360161Z digest=sha256:33362634047240be257b92c593f6efa51a7a8c633c90ef34d264c53a6964fd2b

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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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:f5649e9c03a84895554f40c9d69071eb864d18d2f1503442e72651523dbfb76f

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.370009Z digest=sha256:c61b1523866813c1fce92d01c19c44f07b377bd76ed0303e27389998e0a7b639

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:ac7279a115b5724e2c441fd4642d20fbf2bd6a5704a944c61dce23f3cb03c912

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=sha256:4acfa7a8499400f6f3b17859ae9882717315da14c4c00ddb6b0f29be29754805

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.384735Z digest=sha256:de512d068fcdf764e50848ba29535e05acadfadcf2b3a6a3b732a77c58852532

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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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=sha256:2361b12476471c6e550a4fc21ea2f708d4170980bada8ce4dab5c314e5b9d91c

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=sha256:24e589e1eb1af9a8455ca872e1e1949a6a0a253289ecf369fa6bd5b48e1e0678

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 2026-08-17T06:30:58.91139+00:00.

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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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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.406930Z digest=sha256:dd7851de5eceadf769f1524d8a4f05cdba025e3320716f94b86ea6ca464c3441

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.412567Z digest=sha256:c8a40ad2454c71c88ac6b1282c67e6ede3a0660ece8814acf2416408e2e5fd98

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.

source=pdf_text observed=2026-08-11T00:46:41.417417Z digest=sha256:9aeca9a99f11d658a8245ef5faa7206079f5957fe3d1520d16dd77b5b7cc6c90

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.422268Z digest=sha256:980cf61021633ff39b0ec007d5292b8a0b5e706ea7e9f187f2a93129aac2f9df

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.

source=pdf_text observed=2026-08-11T00:46:41.426989Z digest=sha256:c83ca534f46f94c36f3e8b135e78cce9888ec27ea3fabdb76f420c5b7497c29b

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.

source=pdf_text observed=2026-08-11T00:46:41.431565Z digest=sha256:de214d8cdd853c7abd7f2e4c839ae99da4e33d26065ae66cc6621d5e3f98c459

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.

source=pdf_text observed=2026-08-11T00:46:41.446821Z digest=sha256:c942cf1c43daf202d171ad4fda98f0625bd3a383dd7665bcfd31af463e074faa

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.

source=pdf_text observed=2026-08-11T00:46:41.451615Z digest=sha256:d94dfa68acbf94f9c865a233d9162f99803e13c6e2784ca5aa62fc7457698b43

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:b0688db56a0c1fd876b112ae02568330953c20d25b70961340a466123fc0a2c0

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=sha256:11ba67d796e170c6779836be710088871e163939ef9b7aad3512d9a9fffc1dae

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:e8afcb3265400667160f19399cf11ae1df233fc4f6dba9354c6d80d2ed35a293

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=sha256:91b7ec6a715a1c2a6312bdb1749be317f6684941b8a0330393ac3dd4aa08e1d8

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=sha256:662af2cb7591ae18b1fdbc783f630293d2424152f938de4943dc44466a7f07a5

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=sha256:56f9695c053cd502ddb6dd0c78651ac215a78fc0bcaca625d97402dec7d190cb

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=sha256:2682ead188738b821f32f6895a8c24996ea295c4dbff17fe6b6fa2f33bebae49

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:e87adff1b842658254aac7d5a6412de41f0f6c8847baa233e97d51e4320f09d5

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:d891bc519208338468757c3f5c5111211a18973edcdbe523ca6283b8fe1a47bf

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:dc574de2d63c543637b68a0cf0324ecc956f00bf6998aef0e36d6d18ff52cb6b

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:c66546b5779cca739a2a45b7544abea600686b4806f9018c25ed0fa69895865c

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=sha256:41029183f8e053240c5a5d918a9a67f23cc8ca309cedae8ad96fcb55941ae7f9

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=sha256:39feafa6c88f0adca2128459a3d780f025f618349e7693987ea3a5cd6d29da0a

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:eb750ab7d74f033339df3d2c40002b0c74035e6ac1b3b5c27487a14dfbd1f95c

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=sha256:8308ab3d65516ff0575aa82560dd8f7ac982bbfbe38a6d0f3e0f4b5c321009f3

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=sha256:85b840902971f027163ccb8b8d2a834b91cecbeeef288e1716a6bb520979eba3

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:a47c327d15a7a3d09d1898dc82936150cd62e442c1ccc39547b3700bdf9a230b

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:a3e11b930227b27029049f587e2638e2bcdb121682a97cf710ff7f376ad89b52

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=sha256:7719cea0cfa3cceec07858f4ba080211eb147054e0e2f1d440abb9bbf7dc2a08

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=sha256:2a47e60099e1121ca6f687896d8ce2b776ce87263d3a18b44c2526276284de7b

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:d537831ef4aae47bf9720b16b99e4832e86c560e11e0ebfa067bf5a001b27eb3

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=sha256:09606d5a37bb25f216aff2c78efc8cb6d77967a27e6a3faf52e4db77354b50cc

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=sha256:1f8cbdb03a24dedb1b51c262ffcd378abbbe38735c7dbb719ddbae868e6750cd

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=sha256:93be9ae74cf6b934cd261b0dd6bc45a71fd14a929f7bd13f135d6d2ca4b947f1

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=sha256:714ba44aaf6d1ce99eb61f16c8001b3b9d249407957da832b8ba6a98831235ca

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=sha256:1f661bbf260eb25766f4a94b25584f4570b5c9cb444784053fd8ce2251068576

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:aa1c65738895661b165c9540e25c57133d0283107233760371ebb212d9135235

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=sha256:18755b7ad1e20991937b507bace042273b6442d7bfbd2f4c26c7a8f67912b495

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=sha256:59e36e95feac5ae71f574ce91f070af73e250ac2ef09ccb3811e0332d2e17c13

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=sha256:8ae9485fc76de96b30f1d1ee1214223e9801378fc204b0c751e2c68a59f7d62c

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=sha256:743938d284ec4463d367a14b9a644da093f807efc9b3fba702e323ad5ed7bc91

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=sha256:851401e73be4c4965ceb68eff657a0a552c0a428cc2aba8bb590c6a84df2f686

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=sha256:8a3754cb5174a99bd88d76ccc5d489d600310a04f170f2288475c6fc3fa15368

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=sha256:0e7a23d55378a2cf6ab7d71754cd4d7367c29c487199114a1204ca0cfe54d68d

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:fe3ebfe65bb6edccc42da94af6c7dca09ff7225854ae77ab20b2e8c6c758978c

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=sha256:16dbba2cfb294391fc9da7630861627799b22246153b81e78d06020f70d8d637

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=sha256:342fb1379f104fab14ce52d655c227cee70b9410220f8804d3a6884081149928

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:dea33c55e5dc2d812da3049fcd702184c8a677de47b597291e2a0a0caedbcf24

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=sha256:21380b6e9730a52d0d29078c4447ffe5dfe2844442d49e089ffbfcefce940f61

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.

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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:f330b7a56263fd8f1ed9398573bf3babcf39fe45b815a9b2ca664334871b48df

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:fb242744c61bbba6dea8ba9794fc4c1a6439ec4c2df46eab1d2ae4f0fb422481

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=sha256:873b105431e74196e01e456b089a55a34768a6100ce22635360dc04c3f6ea4dd

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=sha256:2ab63c847c2cd292569c4667db500e0c42ca2fa99d012cb53a3c1c497e58a535

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:f7dca1742c610c04ff45c5e050dba37b9ad392fd27d8489bb5a68e34256e8cdb

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:bd790e4f777797c395269d71c6d006bd9d4eb1ad7ae857f43da7d148827f0867

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=sha256:31dc6ec4ae890c2bc339b638c13a503d0a789a1992d32c4aa04ba0db3c2f4cf8

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:ee0e01e8893c054578b2d8f1bbc3d4d74b1b313f55d97b8c56c0e604a398a998

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=sha256:14f00a305fa81238cd472bb29c3c5c6946fa178c973138d781c769bb8b45df0d

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:f7f9607f0f4d5b5ab57972098bfa319bd789eebe68afc632df5cf7740cd9be63

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=sha256:3623c4c7e54d533541c86856cd88b7b63a1649cc6266915f41f951fa5b47e472

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=sha256:509124e1c5e3eda109a83c9727c33c03c8045ca2b4d50b19f55475e79c41457d

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:ca20777eaa64acf1ec6823176d84844140e90c628d891b3b95cdafcfc2d6011e

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=sha256:48ab100ba07062c228551a0f63d10071dd931415da9b9042777d414c72ce6ab1

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=sha256:2caf629964f5d31dce9b26bae4c4af24c23006f423828ea2b1a9c2d6a3ffc9cb

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=sha256:78873cf249c7cf780727706c5f60bf4a969508e9b02aac40cfd6b8b37bc078f9

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:fc468646b82b405fd2984a308dc991f117e025e872d1a0e1129863c65d29cc2b

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=sha256:751d30d70674f8bb5ffb27acb635ef56809b97d02b3ac5c1a11084c61dac2ecc

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:cc2cfc6639b130e76a38732455efaa466f44804b0bf1407b5680aa4fde47896e

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:e3259a92b70181a7e7e40a537b2a0fbce2f9a98de140eb6c996393280a7387e8

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:f7d497ac0dd3d6a0b1fd8fa7aebd2ef215d2e61c3e227812cd0bb7a3d3c613bf

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:fa7e2b20bdf4866a7e9bc08cd9c930e6506fe8d57d6f5b60d02c0faecd529b54

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=sha256:97c2297da9fa3f5b51dbf2bd20edbc5b9805312663909a81fb2120526636e243

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=sha256:72a5b69e6eef70fc23021de3b830e2a00f11543230b46f68150efec5f60364d9

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:f566570b5d82e33be6b0f4f5ea0f43bfb4e18493550a8c562c0e8fcae2b4a1f6