Paper Citation Record · LEDGER

Predicting large-supercell defect formation energies from machine-learning charge density models trained on small supercells

As of 13 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2608.07997.

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

pith.paper-citation-record.v1
2608.07997 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:39:05.670708Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

27 of 27 outbound references displayed

verified exact5
verified fuzzy2
unresolved15
parse uncertain0
malformed identifier5
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4cd23a83-23bc-4531-bd1c-c0663c51885f · outbound

This paper cites an unresolved cited work.

Predicting large-supercell defect formation energies from machine-learning charge density models trained on small supercells Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T00:39:05.534382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca637f71-f5d4-4a3c-ab6b-caea7b0bf3ad · outbound

This paper cites an unresolved cited work.

Predicting large-supercell defect formation energies from machine-learning charge density models trained on small supercells Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-12T00:39:06.222352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e9155076-3b84-4062-8611-2edc45f8981a · outbound

This paper cites Overcoming the doping bottleneck in semiconductors.Comput.

Predicting large-supercell defect formation energies from machine-learning charge density models trained on small supercells Overcoming the doping bottleneck in semiconductors.Comput

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:39:06.203691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 98fbffe5-9a23-421b-92c3-ae43bd3379fd · outbound

This paper cites & Zhang, S.

Predicting large-supercell defect formation energies from machine-learning charge density models trained on small supercells & Zhang, S

Reference 4

Resolution: malformed identifier; raw_fallback, observed 2026-08-12T00:39:06.183240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b204efe3-d039-4be9-8ecd-e1828640c2de · outbound

This paper cites an unresolved cited work.

Predicting large-supercell defect formation energies from machine-learning charge density models trained on small supercells Unresolved cited work

Reference 5

Resolution: malformed identifier; no resolver link, observed 2026-08-12T00:39:05.558066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c815dc9b-5e7c-46c8-9eb7-1a056a9b02ed · outbound

This paper cites & Van de Walle, C.

Predicting large-supercell defect formation energies from machine-learning charge density models trained on small supercells & Van de Walle, C

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T00:39:05.563487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d80dad2-9bd1-4a24-a64c-5e0d5a391580 · outbound

This paper cites & Furthm¨ uller, J.

Predicting large-supercell defect formation energies from machine-learning charge density models trained on small supercells & Furthm¨ uller, J

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:39:06.164742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9a93d2e8-f0b6-4061-9baf-77fe9d8a0584 · outbound

This paper cites & Ong, S.

Predicting large-supercell defect formation energies from machine-learning charge density models trained on small supercells & Ong, S

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T00:39:05.574116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99aafefb-f202-4fc0-b120-3974bded5d20 · outbound

This paper cites an unresolved cited work.

Predicting large-supercell defect formation energies from machine-learning charge density models trained on small supercells Unresolved cited work

Reference 9

Resolution: malformed identifier; raw_fallback, observed 2026-08-12T00:39:06.142805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 90cd3126-7755-43f6-ad07-67668033f1ef · outbound

This paper cites & Kavanagh, S.

Predicting large-supercell defect formation energies from machine-learning charge density models trained on small supercells & Kavanagh, S

Reference 10

Resolution: verified exact; doi, observed 2026-08-12T00:39:05.883666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5c7c2d22-28da-4af6-838e-8dc45e9975fe · outbound

This paper cites Commun.13, 2453 (2022).

Predicting large-supercell defect formation energies from machine-learning charge density models trained on small supercells Commun.13, 2453 (2022)

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T00:39:05.589133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d028834-b54f-4d44-aece-ffa910526754 · outbound

This paper cites MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields.

Predicting large-supercell defect formation energies from machine-learning charge density models trained on small supercells MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T00:39:05.593927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1474a87-ddb8-46eb-a73f-06f000efdb57 · outbound

This paper cites & Corminboeuf, C.

Predicting large-supercell defect formation energies from machine-learning charge density models trained on small supercells & Corminboeuf, C

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T00:39:05.599395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0581323-d098-468c-92c8-122a904fdc38 · outbound

This paper cites an unresolved cited work.

Predicting large-supercell defect formation energies from machine-learning charge density models trained on small supercells Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T00:39:05.604441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c4b0c72-cd6c-4a5a-9e3d-68dbdd121e44 · outbound

This paper cites & Zhong, Z.

Predicting large-supercell defect formation energies from machine-learning charge density models trained on small supercells & Zhong, Z

Reference 15

Resolution: malformed identifier; no resolver link, observed 2026-08-12T00:39:05.609275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30d3d9fe-8339-4ad6-baa7-e1a8a5db351c · outbound

This paper cites an unresolved cited work.

Predicting large-supercell defect formation energies from machine-learning charge density models trained on small supercells Unresolved cited work

Reference 16

Resolution: malformed identifier; raw_fallback, observed 2026-08-12T00:39:06.123759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 007efbef-812c-42eb-9073-480b268c6fad · outbound

This paper cites & Xiang, H.

Predicting large-supercell defect formation energies from machine-learning charge density models trained on small supercells & Xiang, H

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T00:39:05.619470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a15fe0f8-afac-4bdb-b258-ac927cba637a · outbound

This paper cites & Kumagai, Y.

Predicting large-supercell defect formation energies from machine-learning charge density models trained on small supercells & Kumagai, Y

Reference 18

Resolution: verified exact; doi, observed 2026-08-12T00:39:05.814028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 423ac0a3-607c-4150-acf0-084d6098b1b6 · outbound

This paper cites an unresolved cited work.

Predicting large-supercell defect formation energies from machine-learning charge density models trained on small supercells Unresolved cited work

Reference 19

Resolution: verified exact; doi, observed 2026-08-12T00:39:05.796053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 821242b8-b03c-4caa-bb51-68d7c4c62817 · outbound

This paper cites an unresolved cited work.

Predicting large-supercell defect formation energies from machine-learning charge density models trained on small supercells Unresolved cited work

Reference 20

Resolution: verified exact; doi, observed 2026-08-12T00:39:05.780302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c6fb917a-157d-48ea-b158-f498aca4d45f · outbound

This paper cites & Erhart, P.

Predicting large-supercell defect formation energies from machine-learning charge density models trained on small supercells & Erhart, P

Reference 21

Resolution: verified exact; doi, observed 2026-08-12T00:39:05.764156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d9dd3c58-1c2b-4c3c-9f36-6cd39412986b · outbound

This paper cites & Kohn, W.

Predicting large-supercell defect formation energies from machine-learning charge density models trained on small supercells & Kohn, W

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T00:39:05.645860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6611c0c0-e384-40f3-a076-0e2664275caa · outbound

This paper cites & Sham, L.

Predicting large-supercell defect formation energies from machine-learning charge density models trained on small supercells & Sham, L

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T00:39:05.651055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04d07a72-e9bc-4fd5-8307-348cbcda042c · outbound

This paper cites & Furthm¨ uller, J.

Predicting large-supercell defect formation energies from machine-learning charge density models trained on small supercells & Furthm¨ uller, J

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T00:39:05.656032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5909e105-54f9-45a2-a2fe-0d07b614d0d8 · outbound

This paper cites & Joubert, D.

Predicting large-supercell defect formation energies from machine-learning charge density models trained on small supercells & Joubert, D

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T00:39:05.660866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2fd9118-7a1e-46f6-b8c6-73b563fac240 · outbound

This paper cites P., Burke, K.

Predicting large-supercell defect formation energies from machine-learning charge density models trained on small supercells P., Burke, K

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T00:39:05.665586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa61b884-56f3-4f8b-a44f-47ae8855de72 · outbound

This paper cites an unresolved cited work.

Predicting large-supercell defect formation energies from machine-learning charge density models trained on small supercells Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T00:39:05.670708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.