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Paper Citation Record · LEDGER

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning

As of 17 August 2026, this Paper Citation Record lists 92 of 92 outbound references and 0 inbound Pith citation observations for arXiv:2607.09304.

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

pith.paper-citation-record.v1
2607.09304 v1

Coverage vector

measured 92 of 92 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T04:01:28.191405Z

measured 92 of 92 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 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

92 of 92 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved91
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bd2123e2-d2b1-45ab-946c-0c088f252109 · outbound

This paper cites an unresolved cited work.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Unresolved cited work

Reference 1

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:597de7940e4a1db6ed1ddf0bf824e2ffd8991b69442f3a04e3621442e19a7367

Observation 7ddd9ff3-bf27-4572-93d5-d42b622aeaf9 · outbound

This paper cites an unresolved cited work.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Unresolved cited work

Reference 2

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:3390ee3c22b9b2e82945a5a6c72cdbbd61851a47eae34c61864fac4d3db43e52

Observation 156d879e-696c-45c9-abed-02217867d82a · outbound

This paper cites an unresolved cited work.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Unresolved cited work

Reference 3

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:1ab93238a6bcde5f39f74bd4e70bd455ae02c07aa13e52618534423e9a0aed06

Observation faacd8a0-7c91-480e-8867-0ce9bb13327f · outbound

This paper cites an unresolved cited work.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Unresolved cited work

Reference 4

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:07b8f18b4751e33b541f1ea42740d23f64d8380f5a790fbdc11b65d22b6bbf86

Observation 76d665f9-a60b-4cb9-b36e-f3d832ea880e · outbound

This paper cites an unresolved cited work.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Unresolved cited work

Reference 5

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:de0dc8b6bd8d03f85b52c929db6fd6aefe458ee6b91508def84d88e0776e0b96

Observation c2a455ae-75b4-4ca9-b684-2a249e395aff · outbound

This paper cites Thiel, WIREs Comput.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Thiel, WIREs Comput

Reference 6

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:741e2c365cced369ba29ba38b1e6423d9ad99ab848ceed3b0437a402511ba9e4

Observation e6bd5d58-bf50-4c2b-8eb2-6d56aac3f1e2 · outbound

This paper cites an unresolved cited work.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Unresolved cited work

Reference 7

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:bee3bb0b5ea1f7c1eccf774d26dfa177eb69071c6bed27b7fcff48b920e332ea

Observation 60bcf9be-3634-4f48-8779-26ebcd2473e4 · outbound

This paper cites Porezag, T.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Porezag, T

Reference 8

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:80ea225d1e31b5c008c0c9c08690f0074f74eb4701819140162feca21fc11454

Observation 2cbdd257-c987-423f-90c1-db650f5a209e · outbound

This paper cites Seifert, D.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Seifert, D

Reference 9

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:530f292b555f34148621679864bcbe88d7b341c502c4bae57c04c36d37b03e6a

Observation ad7e4d54-e8c0-4034-b9d1-98bbfc867f99 · outbound

This paper cites Elstner, D.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Elstner, D

Reference 10

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:97b871c1308001e53df97b2b9fb57b88b461a7c6e0c65a99274b40d045797805

Observation 7a372b7e-c139-4af4-955e-2f06d308cd28 · outbound

This paper cites an unresolved cited work.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Unresolved cited work

Reference 11

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:6952f739f82e8e3c240bf0ab274f45d70c70f5c7a640f4c23eaa3e1eeea9080a

Observation 748d1051-d984-4868-a186-91a4d99c1006 · outbound

This paper cites Grimme, C.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Grimme, C

Reference 12

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:04579473fbd766d71ab8101c6b66cab86a2e2a2e2ab51958e8e1d0a8474c0d8d

Observation fd86f981-f68c-464e-b93b-4850863b29b0 · outbound

This paper cites Bannwarth, S.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Bannwarth, S

Reference 13

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:f33372b65ed8fc84f1f932ffc976ba11d7facad4bd546aaf3ac895ee84311933

Observation a3a69fb8-feef-41e7-82f7-2d3149004cdc · outbound

This paper cites Elstner, Theor.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Elstner, Theor

Reference 14

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:d0d22adb0c4744decdc595897a26af519100062ddb6f68dd94d08eacb792bc22

Observation a0e8e3a5-8a52-44cd-b979-2263f5e423c0 · outbound

This paper cites an unresolved cited work.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Unresolved cited work

Reference 15

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:0a2385b3875e975de676d8b89a190cf32a66de657e38b25c13149c42b893fbe8

Observation 1b727248-3e4b-4276-bb45-629144ffcd48 · outbound

This paper cites Morao, D.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Morao, D

Reference 16

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:25da7af56be96eec9fab28c63dc420be3528295f2856a00a42679a997dbd8640

Observation 07985ee1-f7b6-4799-bd89-29628c1193d2 · outbound

This paper cites Schmitz, J.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Schmitz, J

Reference 17

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:f3795d34c7a1a8933f3ae4d95754cd42df5217ba6bb07b4cdba0d9856ebee120

Observation 1a828656-217e-4082-ac8d-ae776863069c · outbound

This paper cites Kumar, P.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Kumar, P

Reference 18

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:3197971381fce1373e87e141d4dc7cd5ed230b15bb2ead18e00cd35821045b36

Observation fd46de91-ba91-4128-b7a9-23184b28f0f0 · outbound

This paper cites Panosetti, S.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Panosetti, S

Reference 19

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Observation 84a8ace9-1325-41d9-8d25-4fd8d97aa45d · outbound

This paper cites Ricchebuono, E.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Ricchebuono, E

Reference 20

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Observation 49aabb99-2ba3-465e-afab-3972c7b99bea · outbound

This paper cites Vuong, K.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Vuong, K

Reference 21

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Observation d2dcd9d5-9ba2-4c6d-9368-6d140b6d9ebd · outbound

This paper cites an unresolved cited work.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Unresolved cited work

Reference 22

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Observation 8b90f9ff-960d-4ac8-b6c4-aa574d6f1f78 · outbound

This paper cites an unresolved cited work.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Unresolved cited work

Reference 23

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Observation 246efb63-70db-43f1-ad45-cb0ec2b0be36 · outbound

This paper cites Quaino, J.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Quaino, J

Reference 24

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Observation 2b9c8aff-839e-46fa-b31c-8969288e4c39 · outbound

This paper cites Santos, B.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Santos, B

Reference 25

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:4be43221c793376eebfa40ba2af03d6a36c8f68892bb20945377813f6deabf2d

Observation a62cb560-272e-4ea4-b9f4-7b87d1dac526 · outbound

This paper cites Nishizawa, Y.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Nishizawa, Y

Reference 26

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Observation 722b63f6-bdb9-4b45-ba8e-d28030616f90 · outbound

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Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Unresolved cited work

Reference 27

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Observation d9c583a7-b107-4f5b-a9a8-82a471d38381 · outbound

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Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Unresolved cited work

Reference 28

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Observation b9393187-a7d3-4b79-842e-892d6240c2aa · outbound

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Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Unresolved cited work

Reference 29

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Observation b30cd488-920f-4793-a647-0bd6532dd787 · outbound

This paper cites Spies, L.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Spies, L

Reference 30

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Observation 0c237319-8120-4d35-9d1b-f6a445b10004 · outbound

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Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Unresolved cited work

Reference 31

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Observation b9014f82-004e-402f-8163-561cfe186b1a · outbound

This paper cites Jacobs, D.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Jacobs, D

Reference 32

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Observation cdc95d5d-a565-4ad1-92de-0cd1a2dbeac4 · outbound

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Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Unresolved cited work

Reference 33

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Observation 41f44ff5-8319-4c8a-a22d-3888cb1ab8e9 · outbound

This paper cites Batatia, P.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Batatia, P

Reference 34

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Observation 29e71dd2-597d-41e9-8fd9-d074851de411 · outbound

This paper cites Riccius, N.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Riccius, N

Reference 35

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Observation c820efd1-c603-4930-ac55-0e1a6c66cc98 · outbound

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Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Unresolved cited work

Reference 36

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Observation c4eade18-18d5-4f56-852c-d8d5e18b362a · outbound

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Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Unresolved cited work

Reference 37

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:1650af5dbf8bc564518d614e9be5a4dd49c3a5aa78e2bb9a0c5e3a750e2ff4c6

Observation 3d69046f-5481-4e62-bafc-deba83175543 · outbound

This paper cites Loche, K.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Loche, K

Reference 38

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Observation 3499a8a9-f656-41b1-abfd-88c52caddd2b · outbound

This paper cites Vondr´ ak, K.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Vondr´ ak, K

Reference 39

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Observation 95f78619-bf2d-4529-9e82-113ecc952978 · outbound

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Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Unresolved cited work

Reference 40

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Observation db9a7ef1-273e-4bad-9e84-6a502cb1bace · outbound

This paper cites an unresolved cited work.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Unresolved cited work

Reference 41

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Observation 1f4bcf6c-d807-493d-ba87-6d0c4422ab31 · outbound

This paper cites McSloy, G.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning McSloy, G

Reference 42

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Observation e8113914-cdc4-4fe3-874a-58596b7ec541 · outbound

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Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Unresolved cited work

Reference 43

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Observation 71628a83-c595-46f3-858b-cd6c14653c59 · outbound

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Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Unresolved cited work

Reference 44

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Observation 104695c4-1a56-4611-8cd3-5251f7e7aa0b · outbound

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Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Unresolved cited work

Reference 45

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Observation 7f83f4c5-f215-4f2f-bf60-8776026331d7 · outbound

This paper cites Choudhary, J.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Choudhary, J

Reference 46

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Observation a096a881-4a48-4d18-8394-760d59e27771 · outbound

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Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Unresolved cited work

Reference 47

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Observation 32d42b7b-fb04-45c4-88d3-077919914bcb · outbound

This paper cites Panosetti, A.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Panosetti, A

Reference 48

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Observation da0a02a7-9ad8-4bc7-b9b3-6ad3a5ea04e7 · outbound

This paper cites St¨ ohr, L.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning St¨ ohr, L

Reference 49

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Observation 6b787d1a-facd-4f20-8279-1aebbaf44470 · outbound

This paper cites Goldman, L.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Goldman, L

Reference 50

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:cfd4f2ba3b59c6a4a3016be65986724a85056c8868cf7d928ee402d197a575c1

Observation 6d313764-9202-4857-a637-a070b35df748 · outbound

This paper cites Elstner, J.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Elstner, J

Reference 51

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Observation f16c1de7-3905-405c-a0d7-66b781643b3d · outbound

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Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Unresolved cited work

Reference 52

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Observation 39d589c3-76bc-4b54-8b6e-873cde4dc2a8 · outbound

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Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Unresolved cited work

Reference 53

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:aa69e489da63cb4ea05f9f2d86d098fd438b5b074a0bd2333c1bd913f010e0ed

Observation 29f96bca-7d7f-4860-876e-69a36c84bb25 · outbound

This paper cites Bannwarth, E.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Bannwarth, E

Reference 54

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Observation ffb05e83-70c4-4c22-aed9-4e906a3a9671 · outbound

This paper cites Hourahine, B.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Hourahine, B

Reference 55

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Observation 1bd048d4-467f-49e0-a6d1-74d41b4c38cc · outbound

This paper cites Guibourg, L.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Guibourg, L

Reference 56

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Observation 03779cbb-12dd-4e51-ad82-01094270bdaa · outbound

This paper cites Mahmoudi Gahrouei, N.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Mahmoudi Gahrouei, N

Reference 57

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Observation ff532f42-8d53-4d02-8c06-4cd506e03fed · outbound

This paper cites Pokora, J.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Pokora, J

Reference 58

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Observation d61ee7b7-c051-498f-9667-398078b82075 · outbound

This paper cites Koskinen and V.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Koskinen and V

Reference 59

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:0271b1e6ba0a4130d8d669317171c45d0e751b496d1c108090c14b3e768e42bd

Observation 8cc15967-c6e9-434b-a5e6-d74546caf287 · outbound

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Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Unresolved cited work

Reference 60

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Observation df93d751-c7d2-4ba1-a027-2ad83305ce0e · outbound

This paper cites Hourahine, M.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Hourahine, M

Reference 61

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Observation 273df6cd-88bb-48c4-8bb3-1ebf23c017f2 · outbound

This paper cites Ramakrishnan, P.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Ramakrishnan, P

Reference 62

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Observation df16d55a-b7f3-4b02-9f72-7909a0bd769b · outbound

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Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Unresolved cited work

Reference 63

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:e0d00ee0de68f3d082993c6d83a4fa7a02252e939e7b8fd1ebab566512d69efd

Observation 2a1f7823-3248-466e-ba7a-ae69cc545733 · outbound

This paper cites Kubillus, T.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Kubillus, T

Reference 64

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Observation ead0ba64-aba5-4e60-8c3b-ffba60394cc3 · outbound

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Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Unresolved cited work

Reference 65

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:a0052464de00e6d3e2d8661ccae18a63a0e46c423033523c149e856b6b0341ee

Observation 439e9c8b-a3c9-4d11-983b-ee7af338449e · outbound

This paper cites an unresolved cited work.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Unresolved cited work

Reference 66

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:e0f9084f4e04bbed7d1bef262b69de40c978cc13adb65fe6d204f589b8eb5e7e

Observation 4bb86d51-1878-420f-a80c-04bb3dabffc2 · outbound

This paper cites Ditchfield, W.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Ditchfield, W

Reference 67

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Observation c48f4259-d655-466f-93de-01963e8fcb55 · outbound

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Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Unresolved cited work

Reference 68

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Observation 6d82d7fc-1e9e-47ca-a363-4f9ae8989302 · outbound

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Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Unresolved cited work

Reference 69

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:e915a752435a8b59bcf440368652bc109a5e46a50aedb7b82eb52c3365092c30

Observation 8a7a93f0-5b41-4ab8-b9fa-c9a38da0eba8 · outbound

This paper cites Krishnan, J.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Krishnan, J

Reference 70

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Observation 000f69fb-2287-4b46-8f5d-79cc700ea051 · outbound

This paper cites Adaptive Slater Koster Parameters: Crossing Oxidation States with Density Functional Tight Binding.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Adaptive Slater Koster Parameters: Crossing Oxidation States with Density Functional Tight Binding

Reference 71

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Observation 323c7f1a-26b0-493a-9d20-dff9c2060836 · outbound

This paper cites Zheng, H.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Zheng, H

Reference 72

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Observation acfd96e2-4dd7-48dc-87d9-eedddf1b0ee2 · outbound

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Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Unresolved cited work

Reference 73

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:48f7a94907432364687151097cce6e1893a554f2ad306374732cbb5b6c2d32ca

Observation 1bffa388-1861-4094-ab12-21df2682ac0b · outbound

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Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Unresolved cited work

Reference 74

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:7352dad1c3d8eb9acab2ae6d3affcef9deec2517115142b00c4541f2e639f83b

Observation b515d421-119f-4a1e-8284-5ea11763351e · outbound

This paper cites Holland, T.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Holland, T

Reference 75

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:04021d5ff5e1dd8356ccc41716b52f9452c3b74f3834d7ee26dedf535193abba

Observation a4a23f37-a3f8-43f7-bd42-69b68f7b6ed0 · outbound

This paper cites Skylaris, P.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Skylaris, P

Reference 76

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Observation 9ab2541e-3da2-4032-883f-2908c143b674 · outbound

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Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Unresolved cited work

Reference 77

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:e3220ad82bc6be77a90e9916e740e8947395f252ecad823e996c021f451882bf

Observation 9d400501-fc7a-43c3-bf4c-899470427710 · outbound

This paper cites Skylaris, A.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Skylaris, A

Reference 78

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:38a68c23ca9e07944fa058f041070f3b8b5d952a1ad0c41bedb7c8e1e26d69f1

Observation 97b6eb29-99c4-4067-8f13-872562466a53 · outbound

This paper cites Skylaris, A.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Skylaris, A

Reference 79

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:3a40cdd9d3248b8435fa5297cc3e7c427e8b9ccd03730ef5a9666c4d6924f6a0

Observation 892f0f10-6082-4ea2-99b2-97e6ed0bae99 · outbound

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Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Unresolved cited work

Reference 80

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:7b89eed0210f5f9cc848435a285e653ea133a1e2e654bdd37cf5c3024558015d

Observation f13d85eb-c396-4c6c-a1e0-710f8b19e608 · outbound

This paper cites Eastman, P.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Eastman, P

Reference 81

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:7eb3598c3bc05995c0490bc4524dadc88d263799a7d00ba4e0c31280a0449aad

Observation 53c71ebe-094e-45e9-af17-34d384d4f0ea · outbound

This paper cites Eastman, B.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Eastman, B

Reference 82

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:2e5170924ff8d808f6a1efd5a992658cfd11180b180b8325d9ff7be2587f4796

Observation 578deeff-4ba5-4932-93d7-fd25564efe81 · outbound

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Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Unresolved cited work

Reference 83

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Observation 02be29a0-c3d2-4ec1-b39b-983f2c5c1d81 · outbound

This paper cites Verstraelen, S.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Verstraelen, S

Reference 84

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Observation ddb18c7d-e1a2-4095-a96e-46902cdb8ac6 · outbound

This paper cites Najibi and L.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Najibi and L

Reference 85

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:879f0b8986f512d8bb01922166a7200f9ca5e3ec13a89e356709c653b07740f6

Observation 3225028a-e9d9-44d8-bd81-717f6096482a · outbound

This paper cites Mardirossian and M.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Mardirossian and M

Reference 86

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:0cde6f5ce62f853d55ce8fe4ba1f655b4a09f30ff8050d6fa575dba0e796dfa1

Observation 022e0b5a-a1ab-4af4-b949-99c73a26163d · outbound

This paper cites Weigend and R.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Weigend and R

Reference 87

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:bf5c9aba5d2c161ed37fac62490d7f14d8fafc7e062becc658d4178aef907787

Observation 43bd4903-1e28-481a-9681-d7ffb77dd7ea · outbound

This paper cites Rappoport and F.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Rappoport and F

Reference 88

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:bb661b65d372b9be7f2f9fa84cc46e0d5543e293500115b164945e4e09ec75b1

Observation b665fbad-0b06-4d9f-aebe-3d3112629287 · outbound

This paper cites Himanen, M.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Himanen, M

Reference 89

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:798763fbd5fa8c900a22e71d82c8b3ecc5971c844f4bebe8009719ccaed6ed23

Observation b8553510-bd5c-40b4-9ed5-0c9545797d69 · outbound

This paper cites Laakso, L.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Laakso, L

Reference 90

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:3031e91c316e79fe8a8c60586f5c131c1996b4cdd9312bf04e826662df80e3df

Observation 35d7791c-3d27-4aae-b83f-58859ea7663e · outbound

This paper cites Gasteiger and M.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Gasteiger and M

Reference 91

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:346da7b5c8fda934b7957a96370c30b4a9fb6cbb1041ca1acd06b2cf17b89c3a

Observation 67fd0581-4f6f-45f3-87ff-27df0d912a72 · outbound

This paper cites an unresolved cited work.

Learning to Converge: Warm-Starting DFTB Self-Consistent Charges with Machine Learning Unresolved cited work

Reference 92

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source=pdf_text observed=2026-07-13T04:01:28.191405Z digest=sha256:b468b7c4cedd03a96fccdb11994bda43fbda673c98107e7266b8830df65d255f

Pith citing papers

No inbound Pith citation observations are available.