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Paper Citation Record · LEDGER

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle

As of 12 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 1 inbound Pith citation observation for arXiv:2506.07430.

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

pith.paper-citation-record.v1
2506.07430 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:41:16.710046Z

measured 46 of 46 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T23:40:21.238570Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T23:40:21.279337Z

Reference resolution

45 of 45 outbound references displayed

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  • verified fuzzy36
  • unresolved8
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External citation measurements

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Outbound references

Observation d010a654-1c29-4500-9e7f-e1e175db4ec0 · outbound

This paper cites Proceedings of the National Academy of Sciences102(19), 6648–6653 (2005).

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle Proceedings of the National Academy of Sciences102(19), 6648–6653 (2005)

Reference 1

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Observation 323264ed-e7b0-4bb3-87be-424dd706481a · outbound

This paper cites Nature Reviews Chemistry7(10), 692–709 (2023).

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle Nature Reviews Chemistry7(10), 692–709 (2023)

Reference 2

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Observation 6eadaa6f-c37d-467e-bbd6-2a38f5a0e8dd · outbound

This paper cites Methods in Enzymologyvol 5002011(2000).

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle Methods in Enzymologyvol 5002011(2000)

Reference 3

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Observation 6c43d19d-e072-4f2a-8da2-41214e135343 · outbound

This paper cites International Journal of Quantum Chemistry119(1), 25719 (2019) 15.

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle International Journal of Quantum Chemistry119(1), 25719 (2019) 15

Reference 4

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Observation 651094a3-a3d7-4d98-8d5e-ea31ac969a71 · outbound

This paper cites Annalen der Physik 389, 457–484 (1927).

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle Annalen der Physik 389, 457–484 (1927)

Reference 5

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Observation fa72973e-36d6-43bb-ae03-3c4dd26bd883 · outbound

This paper cites Reviews of Modern Physics73(1), 33 (2001).

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle Reviews of Modern Physics73(1), 33 (2001)

Reference 6

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Observation 2a7109e0-26f3-4ae9-9b1d-5d69e0c1c09f · outbound

This paper cites Courier Corporation, New York (1996).

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle Courier Corporation, New York (1996)

Reference 7

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Observation c281468a-7608-40cb-8bbe-222dce15c4d9 · outbound

This paper cites Chemical physics letters111(4-5), 315–321 (1984).

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle Chemical physics letters111(4-5), 315–321 (1984)

Reference 8

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Observation 3430e4f3-8241-4b75-ba7e-f502f4b8df7d · outbound

This paper cites Computational many- particle physics, 529–544 (2008).

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle Computational many- particle physics, 529–544 (2008)

Reference 9

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Observation 9cc01d91-624d-4fbe-a15a-a82eab5f030b · outbound

This paper cites Chemical reviews112(1), 108–181 (2012).

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle Chemical reviews112(1), 108–181 (2012)

Reference 10

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Observation 05873c5c-fcfa-40f5-a6fd-86d3fd8177bd · outbound

This paper cites an unresolved cited work.

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle Unresolved cited work

Reference 11

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Observation 185d5154-4ac6-4d7d-a8d8-58053f664c56 · outbound

This paper cites Statistical Physics II: Nonequilibrium Statistical Mechanics, 146–202 (1991).

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle Statistical Physics II: Nonequilibrium Statistical Mechanics, 146–202 (1991)

Reference 12

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Observation d5084a19-69af-4e6c-852e-267921e49d22 · outbound

This paper cites an unresolved cited work.

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle Unresolved cited work

Reference 13

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Observation 762f1471-0c5d-4764-b175-887f67e9d57a · outbound

This paper cites an unresolved cited work.

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle Unresolved cited work

Reference 14

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Observation ba4e5413-e647-4d9d-98a8-0679d9b5db1a · outbound

This paper cites Reports on progress in physics 29(1), 255 (1966).

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle Reports on progress in physics 29(1), 255 (1966)

Reference 15

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Observation a418216d-598d-4ff1-b607-ab838d73fd44 · outbound

This paper cites The Journal of Chemical Physics159(14) (2023).

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle The Journal of Chemical Physics159(14) (2023)

Reference 16

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Observation 3b9ccf11-498b-4e73-bbb7-ecf517a30b1e · outbound

This paper cites Memory Kernel Coupling Theory: Obtain Time Correlation Function from Higher-order Moments.

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle Memory Kernel Coupling Theory: Obtain Time Correlation Function from Higher-order Moments

Reference 17

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Observation b6c665d7-4067-4dca-a5ba-027ac6741c04 · outbound

This paper cites Physical Review E49(5), 4684 (1994).

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle Physical Review E49(5), 4684 (1994)

Reference 18

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Observation 3d753d39-3cf7-460d-b51d-8f52bf958667 · outbound

This paper cites Nature communica- tions15(1), 9404 (2024).

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle Nature communica- tions15(1), 9404 (2024)

Reference 19

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Observation 83fa6f15-0539-4864-a294-4b23c824b425 · outbound

This paper cites Reviews of modern physics78(1), 275–306 (2006).

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle Reviews of modern physics78(1), 275–306 (2006)

Reference 20

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Observation 68010e42-0b90-4410-853d-d128d09b7360 · outbound

This paper cites Mathematical Notes80(2006).

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle Mathematical Notes80(2006)

Reference 21

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Observation 9d225121-d458-4123-8d98-a29d7cb466d9 · outbound

This paper cites Reviews of Modern Physics35(3), 496 (1963).

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle Reviews of Modern Physics35(3), 496 (1963)

Reference 22

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Observation 23271626-a61c-4f9d-a37a-331defca01a5 · outbound

This paper cites In: Methods of Electronic Structure Theory, pp.

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle In: Methods of Electronic Structure Theory, pp

Reference 23

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Observation d916281c-fe63-454d-8784-a7453be5d672 · outbound

This paper cites an unresolved cited work.

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle Unresolved cited work

Reference 24

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Observation c0268f31-5437-47dd-a6ba-377a6051ce71 · outbound

This paper cites Reviews of Modern Physics79(1), 291–352 (2007).

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle Reviews of Modern Physics79(1), 291–352 (2007)

Reference 25

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Observation 90e86b66-3447-43de-aff2-22a1d4682c4d · outbound

This paper cites Physical review letters69(19), 2863 (1992).

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle Physical review letters69(19), 2863 (1992)

Reference 26

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Observation 273a6066-a4de-470a-a19d-903514f3e375 · outbound

This paper cites Physical review b48(14), 10345 (1993).

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle Physical review b48(14), 10345 (1993)

Reference 27

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Observation ebbcbd64-e5b0-466d-bc3c-7b0069c83e0e · outbound

This paper cites Journal of Computational Chemistry42(8), 534–544 (2021).

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle Journal of Computational Chemistry42(8), 534–544 (2021)

Reference 28

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Observation 9340e9ad-42c4-43d2-8f47-372de40a3957 · outbound

This paper cites Journal of the American Chemical Society 144(35), 15932–15937 (2022).

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle Journal of the American Chemical Society 144(35), 15932–15937 (2022)

Reference 29

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Observation c3e586c1-abe8-441a-8ec2-d6152d3125d5 · outbound

This paper cites Matrix Product State Representations.

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle Matrix Product State Representations

Reference 30

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Unavailable: canonical work link unavailable.

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Observation c6beb761-e060-495c-b541-462aab13b604 · outbound

This paper cites In: Iberoamerican Congress on Pattern Recognition, pp.

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle In: Iberoamerican Congress on Pattern Recognition, pp

Reference 31

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Observation 9a6559ad-2118-4f46-896a-1144a2b18f08 · outbound

This paper cites Nature communications11(1), 2368 (2020).

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle Nature communications11(1), 2368 (2020)

Reference 32

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Observation 0cd5a2d7-b1d0-4b5f-8f9c-c4375118d592 · outbound

This paper cites Science355(6325), 602–606 (2017) 17.

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle Science355(6325), 602–606 (2017) 17

Reference 33

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source=pdf_text observed=2026-08-07T05:41:16.653120Z digest=sha256:8fc35e05f293afb709b868c2cd0f049fb56472338d174fddbb9cb259a567927a

Observation b29b0353-f8f5-4006-811a-6ba871e0d31b · outbound

This paper cites Nature Machine Intelligence4(4), 351–358 (2022).

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle Nature Machine Intelligence4(4), 351–358 (2022)

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-07T05:41:16.962559Z

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.

source=pdf_text observed=2026-08-07T05:41:16.657556Z digest=sha256:6b27459d1b71040c1bf2993318ba8ffd0bb0f25972b00ad17555c0d726f3585e

Observation 43e41e28-2c4b-45e6-b388-26add4012095 · outbound

This paper cites In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, pp.

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, pp

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:41:16.944046Z

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.

source=pdf_text observed=2026-08-07T05:41:16.662044Z digest=sha256:cf6fa3ef5ac59eca68153b97843b95b6dcbec9066d4e0aae4f594a69a78c6af9

Observation fcb0b105-5e1e-4661-901e-a4cb0db88fd9 · outbound

This paper cites In: Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, pp.

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle In: Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, pp

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:41:16.926771Z

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.

source=pdf_text observed=2026-08-07T05:41:16.666473Z digest=sha256:2f6b2b0d9bb2a1dc56968d75e920b422bb1e5f95b7a32819af7a6830cd19f853

Observation 4c5111d6-c552-4a83-aac1-ca3a6e14ba51 · outbound

This paper cites Machine Learning: Science and Technology4(2), 025034 (2023).

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle Machine Learning: Science and Technology4(2), 025034 (2023)

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:41:16.910672Z

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.

source=pdf_text observed=2026-08-07T05:41:16.672283Z digest=sha256:5d8fa45b6a74c50ed60f1ef31135b94358da402b467b3d16d9bb1d0c10841a78

Observation 98cbd083-5824-47fa-99ec-839192513f39 · outbound

This paper cites Physical review research2(3), 033429 (2020).

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle Physical review research2(3), 033429 (2020)

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:41:16.892707Z

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.

source=pdf_text observed=2026-08-07T05:41:16.676902Z digest=sha256:4f275053bf8f77ae5f681375372cba9fe9e5af87eb0a9dc61eb00e0e9de818b6

Observation d2414a13-1656-4244-a9bb-17aeca781a0a · outbound

This paper cites Nature Chemistry12(10), 891–897 (2020).

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle Nature Chemistry12(10), 891–897 (2020)

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:41:16.877014Z

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.

source=pdf_text observed=2026-08-07T05:41:16.681257Z digest=sha256:e47075e73ae0c3e1b90c6ffd9b8e31248894f3a71cef86dfade6eebb24d01580

Observation 33f5a8ce-104e-4d8c-ad83-932d2aab14e4 · outbound

This paper cites Reviews of Modern Physics92(1), 015003 (2020).

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle Reviews of Modern Physics92(1), 015003 (2020)

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T05:41:16.685586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:41:16.685586Z digest=sha256:6d3700ac740fba20521213aa546453ed93874e8a36c134d2077c9bdc84c559e4

Observation 8a6753fe-e526-4cc2-acdf-1cccab49a098 · outbound

This paper cites Springer, Verlag Berlin Heidelberg (1993).

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle Springer, Verlag Berlin Heidelberg (1993)

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:41:16.851217Z

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.

source=pdf_text observed=2026-08-07T05:41:16.689829Z digest=sha256:99ffb1e4862c16581272d9c72aa0c9c53939dafe1f8164ea01b0e702d3df81ac

Observation 5a2d1ffe-5026-448e-8186-a3de67ea2304 · outbound

This paper cites The Journal of chemical physics137(22) (2012).

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle The Journal of chemical physics137(22) (2012)

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:41:16.834898Z

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.

source=pdf_text observed=2026-08-07T05:41:16.695250Z digest=sha256:02b144ad9cf591e4873978c5d1028332e62348c99c356cd761330ad9efbe75ec

Observation 4f01a7ed-fdb8-45f4-a4a9-f9b232740e51 · outbound

This paper cites Annals of Physics 298(1), 210–226 (2002).

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle Annals of Physics 298(1), 210–226 (2002)

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:41:16.819523Z

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.

source=pdf_text observed=2026-08-07T05:41:16.699826Z digest=sha256:d4bd1be6d1f661b552448a2616b82f01bb41209b006a59bb730539a24c1540f0

Observation 4c6b1992-403b-47f4-84e0-615b580da0ed · outbound

This paper cites Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training.

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T05:41:16.704750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:41:16.704750Z digest=sha256:d7eea2d6de86d7c86a05deb54226652d4b27233a07aaf9f650553a83290cb185

Observation 8747f05d-f06d-4bb4-a655-bfe477a870b6 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle Adam: A Method for Stochastic Optimization

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T05:41:16.710046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:41:16.710046Z digest=sha256:3e6013268c9a22d77eeae4b046d239cfad852e06178bca7410519aeafa3292a6

Pith citing papers

Observation 58167604-30a8-439c-aa40-75fc4e515d94 · inbound

Stochastic resolution of identity to CC2 for large systems: Excited-state gradients and derivative couplings cites this paper.

Stochastic resolution of identity to CC2 for large systems: Excited-state gradients and derivative couplings Scalable Neural Quantum State based Kernel Polynomial Method for Optical Properties from the First Principle

Reference 88

Resolution
verified exact
local_arxiv, observed 2026-08-04T23:40:21.286759Z

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.

source=pdf_text observed=2026-08-04T23:40:21.238570Z digest=sha256:3535a1c16c0da202c6f5fd2f4120d50b19b73142ee94f82f22918f52ea2b2c20