Paper Citation Record · LEDGER

Deep Learning in Classical and Quantum Physics

As of 19 August 2026, this Paper Citation Record lists 100 of 105 outbound references and 2 inbound Pith citation observations for arXiv:2508.10666.

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

pith.paper-citation-record.v1
2508.10666 v1

Coverage vector

measured 100 of 105 reference resolution

Typed states for the displayed outbound observations.

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measured 102 of 102 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:34:52.226031Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T00:34:52.583766Z

Reference resolution

100 of 105 outbound references displayed

verified exact2
verified fuzzy51
unresolved47
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 408b0fcf-767f-45d5-a07a-41f4e302c215 · outbound

This paper cites Turing Universality of the Game of Life, page 513–539.

Deep Learning in Classical and Quantum Physics Turing Universality of the Game of Life, page 513–539

Reference 1

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Observation ae2c6969-5f4a-42b1-a4be-38f374892c90 · outbound

This paper cites Myreen and Mario Carneiro.

Deep Learning in Classical and Quantum Physics Myreen and Mario Carneiro

Reference 2

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Observation 3a718abb-0a8b-44e4-bfc6-d1c596e22989 · outbound

This paper cites an unresolved cited work.

Deep Learning in Classical and Quantum Physics Unresolved cited work

Reference 3

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Observation 5df83466-c6a3-44e6-8f81-4da2d817a3a0 · outbound

This paper cites Jack Copeland.

Deep Learning in Classical and Quantum Physics Jack Copeland

Reference 4

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Observation f2e101a1-139b-4252-964d-4686e8e8084d · outbound

This paper cites Oxford University Press UK, 1999.

Deep Learning in Classical and Quantum Physics Oxford University Press UK, 1999

Reference 5

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Observation b5286ff2-2579-4c80-bd21-6e40a524ddb8 · outbound

This paper cites Larson.The Myth of Artificial Intelligence: Why Computers Can’t Think the Way We Do.

Deep Learning in Classical and Quantum Physics Larson.The Myth of Artificial Intelligence: Why Computers Can’t Think the Way We Do

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T20:23:50.544590Z

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Observation a07396cc-15c7-4bea-aed9-b10e4be5bae9 · outbound

This paper cites Sejnowski.

Deep Learning in Classical and Quantum Physics Sejnowski

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T20:23:50.602812Z

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Observation 6a450603-ba15-4df8-b012-7745054f3e7b · outbound

This paper cites Artificial Life.

Deep Learning in Classical and Quantum Physics Artificial Life

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T20:23:50.672769Z

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Observation cb7548a4-a6f9-4665-b373-2070ee99a488 · outbound

This paper cites Langton.Artificial Life: An Overview.

Deep Learning in Classical and Quantum Physics Langton.Artificial Life: An Overview

Reference 9

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Observation 140da9ae-b4ec-4485-95ae-3105eb0e88a2 · outbound

This paper cites Introduction to artificial life.

Deep Learning in Classical and Quantum Physics Introduction to artificial life

Reference 10

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Observation 76565de2-65ae-42c8-bcea-510c8d90a880 · outbound

This paper cites Chambers.

Deep Learning in Classical and Quantum Physics Chambers

Reference 11

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Observation 26199ef8-5ca1-432f-997e-0e810edb35be · outbound

This paper cites Haupt.Frontmatter.

Deep Learning in Classical and Quantum Physics Haupt.Frontmatter

Reference 12

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Observation 1fc84e58-2d8e-421b-ad97-6bcb1d75ab69 · outbound

This paper cites Computational Intelligence.

Deep Learning in Classical and Quantum Physics Computational Intelligence

Reference 13

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Observation fe9a29a8-5244-4cd8-a67e-c41469a05d28 · outbound

This paper cites Springer International Pub- lishing, 2017.

Deep Learning in Classical and Quantum Physics Springer International Pub- lishing, 2017

Reference 14

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Observation 2b949256-fdad-4694-91f9-475f179875c9 · outbound

This paper cites an unresolved cited work.

Deep Learning in Classical and Quantum Physics Unresolved cited work

Reference 15

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Observation f867de63-c73a-4768-958d-0eb6410b8ee5 · outbound

This paper cites an unresolved cited work.

Deep Learning in Classical and Quantum Physics Unresolved cited work

Reference 16

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Observation 2ef4abc3-be50-478c-b42a-a67f68ea35c6 · outbound

This paper cites Witten, Eibe Frank, Mark A.

Deep Learning in Classical and Quantum Physics Witten, Eibe Frank, Mark A

Reference 17

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Observation 9c0c253b-8a08-40ae-955f-81b0aa4de3e5 · outbound

This paper cites Prince.Understanding Deep Learning.

Deep Learning in Classical and Quantum Physics Prince.Understanding Deep Learning

Reference 18

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Observation e659cc67-ea6a-4df9-851e-268f295080e8 · outbound

This paper cites Bishop and Hugh Bishop.

Deep Learning in Classical and Quantum Physics Bishop and Hugh Bishop

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T20:23:51.362472Z

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Observation 8cd4d1f1-494d-4340-988d-185eb64f74da · outbound

This paper cites Machine learning and quantum devices.SciPost Phys.

Deep Learning in Classical and Quantum Physics Machine learning and quantum devices.SciPost Phys

Reference 20

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Observation ceacacb3-c262-4ab7-90c8-031597a51bbf · outbound

This paper cites Ma- chine learning and the physical sciences.Rev.

Deep Learning in Classical and Quantum Physics Ma- chine learning and the physical sciences.Rev

Reference 21

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Observation 4f862747-63a4-43e4-adc0-f8160a74c3ba · outbound

This paper cites Day, Clint Richardson, Charles K.

Deep Learning in Classical and Quantum Physics Day, Clint Richardson, Charles K

Reference 22

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Observation 145dd9f0-0cf6-423e-a732-4edbdb4c58dd · outbound

This paper cites Michael Denner.

Deep Learning in Classical and Quantum Physics Michael Denner

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T20:23:51.638966Z

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Observation 1c9c84f2-1cbd-4533-8325-5d97e525f827 · outbound

This paper cites Machine learning in quantum sciences.

Deep Learning in Classical and Quantum Physics Machine learning in quantum sciences

Reference 24

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Deep Learning in Classical and Quantum Physics Unresolved cited work

Reference 25

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Observation 4c64ae37-07a6-4b97-8840-09772526f3c9 · outbound

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Deep Learning in Classical and Quantum Physics Unresolved cited work

Reference 26

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Observation de2c164f-f6a0-4f36-bdec-136561389f0c · outbound

This paper cites Lecun, L.

Deep Learning in Classical and Quantum Physics Lecun, L

Reference 27

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Observation e5bd4ef5-21b1-45de-b7a3-7c4c11969ccf · outbound

This paper cites Introduction to Statistical Physics.

Deep Learning in Classical and Quantum Physics Introduction to Statistical Physics

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:24:08.697227Z

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Observation 57297a24-6d53-4ece-96ec-85c512485ddb · outbound

This paper cites Introduction: Classical phases and critical points.

Deep Learning in Classical and Quantum Physics Introduction: Classical phases and critical points

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:24:08.550446Z

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Observation 730e7474-d3e0-4534-807a-d53291b2ea51 · outbound

This paper cites Bhattacharjee and Avinash Khare.

Deep Learning in Classical and Quantum Physics Bhattacharjee and Avinash Khare

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:24:08.404495Z

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Observation fb877cd8-5b91-4428-a3dd-d8df2fe210b4 · outbound

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Deep Learning in Classical and Quantum Physics Unresolved cited work

Reference 31

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Observation 2cc6444d-bb9d-4b6d-afa0-5e9c0ef8eb1a · outbound

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Deep Learning in Classical and Quantum Physics Unresolved cited work

Reference 32

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Observation adf4a05b-6e6b-478d-8600-1acf05bceda4 · outbound

This paper cites Visualizing data using t-sne.

Deep Learning in Classical and Quantum Physics Visualizing data using t-sne

Reference 33

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Observation 652d7792-e84b-44a1-9f6d-856ccc10ca1a · outbound

This paper cites Learning deep architectures for ai, 2009.

Deep Learning in Classical and Quantum Physics Learning deep architectures for ai, 2009

Reference 34

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Observation 8176af11-1e4f-4d52-beec-15d6a8a81239 · outbound

This paper cites Auto-Encoding Variational Bayes.

Deep Learning in Classical and Quantum Physics Auto-Encoding Variational Bayes

Reference 35

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Observation 6663bbe8-f3c3-4d99-95c2-efb6fb13ae98 · outbound

This paper cites Normalizing flows on tori and spheres.

Deep Learning in Classical and Quantum Physics Normalizing flows on tori and spheres

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:24:07.757650Z

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Observation 51d56155-7737-461e-a89e-1b5b822d0dfa · outbound

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Deep Learning in Classical and Quantum Physics Unresolved cited work

Reference 37

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Observation 7340148c-17e2-44ea-a02f-65bcb6954c2d · outbound

This paper cites beta- vae: Learning basic visual concepts with a constrained variational frame- work.

Deep Learning in Classical and Quantum Physics beta- vae: Learning basic visual concepts with a constrained variational frame- work

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:24:07.608393Z

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Observation 0deb65f0-dcc1-4ec4-b740-ed0efa0a868a · outbound

This paper cites Gener- ative adversarial nets.Advances in neural information processing systems, 27, 2014.

Deep Learning in Classical and Quantum Physics Gener- ative adversarial nets.Advances in neural information processing systems, 27, 2014

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:24:07.411221Z

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Observation 15c2cd10-2419-46c8-96da-49171b19c042 · outbound

This paper cites A learning algorithm for boltzmann machines.Cognitive science, 9(1):147–169, 1985.

Deep Learning in Classical and Quantum Physics A learning algorithm for boltzmann machines.Cognitive science, 9(1):147–169, 1985

Reference 40

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Observation dedf3eff-03aa-408b-8bbe-2937bfb0b733 · outbound

This paper cites “neural” computation of decisions in optimization problems.

Deep Learning in Classical and Quantum Physics “neural” computation of decisions in optimization problems

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:24:07.239664Z

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Observation d6093309-bdfb-407e-bbe7-cc31856b93ca · outbound

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Deep Learning in Classical and Quantum Physics Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-05T20:24:07.070806Z

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Observation 6ff011de-d42a-4be5-900f-3922735a99ef · outbound

This paper cites Hitchhiker’sguideontherelationofenergy-basedmodels with other generative models, sampling and statistical physics: a compre- hensive review, 2024.

Deep Learning in Classical and Quantum Physics Hitchhiker’sguideontherelationofenergy-basedmodels with other generative models, sampling and statistical physics: a compre- hensive review, 2024

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:24:06.884861Z

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Observation 5ee68774-ef97-4a64-8149-aeb54be3300c · outbound

This paper cites Normalizing flows for proba- bilistic modeling and inference.

Deep Learning in Classical and Quantum Physics Normalizing flows for proba- bilistic modeling and inference

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:24:06.703230Z

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Observation 54d7370a-2b6b-4999-bb16-b052ec6e97f2 · outbound

This paper cites A universal approximation theorem of deep neural networks for expressing probability distributions.Advances in neu- ral information processing systems, 33:3094–3105, 2020.

Deep Learning in Classical and Quantum Physics A universal approximation theorem of deep neural networks for expressing probability distributions.Advances in neu- ral information processing systems, 33:3094–3105, 2020

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:24:06.524677Z

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Observation e2eb7377-8f4d-4990-b279-84c29f55fe9f · outbound

This paper cites Normalizing flows: An introduction and review of current methods.IEEE transactions on pattern analysis and machine intelligence, 43(11):3964–3979, 2020.

Deep Learning in Classical and Quantum Physics Normalizing flows: An introduction and review of current methods.IEEE transactions on pattern analysis and machine intelligence, 43(11):3964–3979, 2020

Reference 46

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Observation 550ba84d-3c4f-4207-9618-5bb4c2ae1ccf · outbound

This paper cites Physics- informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations.

Deep Learning in Classical and Quantum Physics Physics- informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-05T20:23:53.373484Z

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Observation 6b5920a5-ae89-4823-b59c-3e1c3ff6c300 · outbound

This paper cites Explaining quantum circuits with shap- ley values: Towards explainable quantum machine learning.

Deep Learning in Classical and Quantum Physics Explaining quantum circuits with shap- ley values: Towards explainable quantum machine learning

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:24:06.349732Z

Source-reported events for the cited work

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Observation 6a219b39-8bf7-4b0e-aaf7-6b8a68e356ec · outbound

This paper cites Causability and explainability of artificial intelligence in medicine.

Deep Learning in Classical and Quantum Physics Causability and explainability of artificial intelligence in medicine

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:24:06.196924Z

Source-reported events for the cited work

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Observation 63d8d396-05f6-4f4d-8779-71a85bf65a59 · outbound

This paper cites Beyond human: Deep learning, explainability and rep- resentation.

Deep Learning in Classical and Quantum Physics Beyond human: Deep learning, explainability and rep- resentation

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:24:06.019321Z

Source-reported events for the cited work

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Observation 239c6e78-f78a-4b11-913f-42c51a99980c · outbound

This paper cites On the interpretability of quantum neural networks.

Deep Learning in Classical and Quantum Physics On the interpretability of quantum neural networks

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:24:05.832146Z

Source-reported events for the cited work

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Observation d43570b7-c69d-41d0-bec3-a0656fdbe94d · outbound

This paper cites Interpretable deep learning: Interpretation, interpretability, trustworthiness, and beyond.Knowledge and Information Systems, 64(12):3197–3234, 2022.

Deep Learning in Classical and Quantum Physics Interpretable deep learning: Interpretation, interpretability, trustworthiness, and beyond.Knowledge and Information Systems, 64(12):3197–3234, 2022

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:24:05.734574Z

Source-reported events for the cited work

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Observation 9cb59f95-f74f-46c7-b315-4d7aa8e71d9b · outbound

This paper cites Visual interpretability for deep learning: a survey.Frontiers of Information Technology & Electronic En- gineering, 19(1):27–39, 2018.

Deep Learning in Classical and Quantum Physics Visual interpretability for deep learning: a survey.Frontiers of Information Technology & Electronic En- gineering, 19(1):27–39, 2018

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:24:05.588732Z

Source-reported events for the cited work

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Observation 3968ad36-c0e5-41af-96aa-2c801fd5ff39 · outbound

This paper cites Cambridge university press, 2010.

Deep Learning in Classical and Quantum Physics Cambridge university press, 2010

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:24:05.426630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f1155357-b77c-4833-9f6f-be71bb03eccc · outbound

This paper cites Cambridge university press, 2018.

Deep Learning in Classical and Quantum Physics Cambridge university press, 2018

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:24:05.294295Z

Source-reported events for the cited work

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Observation 0e80241d-d656-40ce-bed7-8aa7eb3edae3 · outbound

This paper cites John Wiley & Sons, 2015.

Deep Learning in Classical and Quantum Physics John Wiley & Sons, 2015

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:24:05.141418Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fb82c9ab-af7e-4f62-b518-acff89a43a60 · outbound

This paper cites John Wiley & Sons, 2009.

Deep Learning in Classical and Quantum Physics John Wiley & Sons, 2009

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:24:04.906130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1e880e79-97d1-45ee-a106-fdc97f77133f · outbound

This paper cites Springer, 2018.

Deep Learning in Classical and Quantum Physics Springer, 2018

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:24:04.618862Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 822a8494-7642-47db-bf03-be1bc6408525 · outbound

This paper cites Springer Science & Business Media, 2009.

Deep Learning in Classical and Quantum Physics Springer Science & Business Media, 2009

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:24:04.397625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e148a391-ba44-42a4-a404-1ce27b996997 · outbound

This paper cites A brief introduction to multipartite entanglement.

Deep Learning in Classical and Quantum Physics A brief introduction to multipartite entanglement

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9b2f41b5-73c9-42ea-b3c6-554d6e9d1891 · outbound

This paper cites Cambridge University Press, May 2006.

Deep Learning in Classical and Quantum Physics Cambridge University Press, May 2006

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Source-reported events for the cited work

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Observation af3492f5-15c7-4a94-bff8-d766d20c0240 · outbound

This paper cites A short review on entanglement in quan- tum spin systems.

Deep Learning in Classical and Quantum Physics A short review on entanglement in quan- tum spin systems

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Source-reported events for the cited work

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Observation 61906c98-7ba6-43dd-900d-b90a7183e726 · outbound

This paper cites Quantum entanglement.

Deep Learning in Classical and Quantum Physics Quantum entanglement

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:24:03.600962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9f56a8a6-eac1-479a-bfe0-8926faf5ab89 · outbound

This paper cites Springer Nature Switzerland, 2024.

Deep Learning in Classical and Quantum Physics Springer Nature Switzerland, 2024

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Source-reported events for the cited work

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Observation cca8a582-2022-426d-9d13-1cd14641216b · outbound

This paper cites Multipartite entanglement.

Deep Learning in Classical and Quantum Physics Multipartite entanglement

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Source-reported events for the cited work

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Observation 5e8e0e54-a349-4ec6-87ba-68f13152b24a · outbound

This paper cites En- tangling power of multipartite unitary gates.Journal of Physics A: Math- ematical and Theoretical, 53(12):125303, March 2020.

Deep Learning in Classical and Quantum Physics En- tangling power of multipartite unitary gates.Journal of Physics A: Math- ematical and Theoretical, 53(12):125303, March 2020

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ddd16a19-1a52-43dd-80ad-b55680b480ea · outbound

This paper cites Introduction to haar measure tools in quantum in- formation: A beginner’s tutorial.Quantum, 8:1340, May 2024.

Deep Learning in Classical and Quantum Physics Introduction to haar measure tools in quantum in- formation: A beginner’s tutorial.Quantum, 8:1340, May 2024

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Source-reported events for the cited work

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Observation 2182a9b6-a5d2-414a-9b4f-9d5fb7cea3d4 · outbound

This paper cites Predicting many properties of a quantum system from very few measurements.

Deep Learning in Classical and Quantum Physics Predicting many properties of a quantum system from very few measurements

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8d24bf89-bbd4-4c61-9b97-f3f057a1a8f8 · outbound

This paper cites Struchalin, Ya.

Deep Learning in Classical and Quantum Physics Struchalin, Ya

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Source-reported events for the cited work

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Observation 47c7d4e0-8672-4d00-816f-95b50800ab30 · outbound

This paper cites Learning quantum states from their classical shadows.

Deep Learning in Classical and Quantum Physics Learning quantum states from their classical shadows

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Source-reported events for the cited work

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Observation 76e92315-0f75-461f-9493-cb2a3d435c95 · outbound

This paper cites GitHub Repo.

Deep Learning in Classical and Quantum Physics GitHub Repo

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d42c970e-8805-4c5d-8c1c-2d71fdc885ab · outbound

This paper cites Quantum machine learning in multi-qubit phase- space part i: Foundations.arXiv preprint arXiv:2507.12117, 2025.

Deep Learning in Classical and Quantum Physics Quantum machine learning in multi-qubit phase- space part i: Foundations.arXiv preprint arXiv:2507.12117, 2025

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 519077c1-bd1e-4645-986c-091b52cb38cf · outbound

This paper cites Entanglement classification and non- k -separability certification via Greenberger-Horne-Zeilinger-class fidelity.

Deep Learning in Classical and Quantum Physics Entanglement classification and non- k -separability certification via Greenberger-Horne-Zeilinger-class fidelity

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Source-reported events for the cited work

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Observation 72786757-9c11-400f-a593-0d54d053e191 · outbound

This paper cites Oxford Univer- sity Press, 12 2003.

Deep Learning in Classical and Quantum Physics Oxford Univer- sity Press, 12 2003

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Source-reported events for the cited work

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Observation fbb1e51b-f28b-4da6-94c4-ae7229048aae · outbound

This paper cites Introduction to quantum integrability.

Deep Learning in Classical and Quantum Physics Introduction to quantum integrability

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Source-reported events for the cited work

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Observation e31a7078-2b48-4939-9362-29ed2ef45dfb · outbound

This paper cites An Introduction to Integrable Techniques for One- Dimensional Quantum Systems.

Deep Learning in Classical and Quantum Physics An Introduction to Integrable Techniques for One- Dimensional Quantum Systems

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Source-reported events for the cited work

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Observation ab66deb7-23c3-423d-859b-abef41b56e39 · outbound

This paper cites A variational eigenvalue solver on a photonic quantum processor.Nature communications, 5(1):4213, 2014.

Deep Learning in Classical and Quantum Physics A variational eigenvalue solver on a photonic quantum processor.Nature communications, 5(1):4213, 2014

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Resolution: unresolved; no resolver link, observed 2026-08-05T20:23:55.958313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9c9cf98-99bc-48e2-802a-94029dd3f587 · outbound

This paper cites Geometry of variational methods: dynamics of closed quantum systems.SciPost Physics, 9(4):048, 2020.

Deep Learning in Classical and Quantum Physics Geometry of variational methods: dynamics of closed quantum systems.SciPost Physics, 9(4):048, 2020

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Source-reported events for the cited work

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Observation 23f270b0-9ac6-4024-9648-a44b579fdb7b · outbound

This paper cites Quan- tum natural gradient.Quantum, 4:269, 2020.

Deep Learning in Classical and Quantum Physics Quan- tum natural gradient.Quantum, 4:269, 2020

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Observation a563b006-7281-4e11-bbf9-f0939acf3eba · outbound

This paper cites Princeton University Press, 2021.

Deep Learning in Classical and Quantum Physics Princeton University Press, 2021

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:24:00.832272Z

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Observation 986200b9-e9d5-4745-8bf4-f300ed72c98f · outbound

This paper cites Springer, 1996.

Deep Learning in Classical and Quantum Physics Springer, 1996

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:24:00.662436Z

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Observation 5320f22e-77e0-4622-939d-8a768753559e · outbound

This paper cites A Lie Algebraic Theory of Barren Plateaus for Deep Parameterized Quantum Circuits.

Deep Learning in Classical and Quantum Physics A Lie Algebraic Theory of Barren Plateaus for Deep Parameterized Quantum Circuits

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Resolution: unresolved; no resolver link, observed 2026-08-05T20:23:56.457394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad793341-d36c-413d-8801-db04ddfacfc8 · outbound

This paper cites Showcasing a Barren Plateau Theory Beyond the Dynamical Lie Algebra.

Deep Learning in Classical and Quantum Physics Showcasing a Barren Plateau Theory Beyond the Dynamical Lie Algebra

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Resolution: unresolved; no resolver link, observed 2026-08-05T20:23:56.517730Z

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Unavailable: canonical work link unavailable.

Observation c3d948ae-af1e-43f7-a735-3abb9ee9e732 · outbound

This paper cites Barren Plateaus in Variational Quantum Computing.

Deep Learning in Classical and Quantum Physics Barren Plateaus in Variational Quantum Computing

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Resolution: unresolved; no resolver link, observed 2026-08-05T20:23:56.608826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 052a5946-b6c1-4927-b64d-2519fc481f15 · outbound

This paper cites A Quantum Approximate Optimization Algorithm.

Deep Learning in Classical and Quantum Physics A Quantum Approximate Optimization Algorithm

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Resolution: unresolved; no resolver link, observed 2026-08-05T20:23:56.613195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 372cd968-4b6a-4cef-a9cf-f1627c5c3886 · outbound

This paper cites Solving the quantum many-body problem with artificial neural networks.Science, 355(6325):602–606, 2017.

Deep Learning in Classical and Quantum Physics Solving the quantum many-body problem with artificial neural networks.Science, 355(6325):602–606, 2017

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Resolution: unresolved; no resolver link, observed 2026-08-05T20:23:56.716188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40053058-84fe-4370-bd27-32b305531887 · outbound

This paper cites From architectures to applications: A review of neural quantum states.

Deep Learning in Classical and Quantum Physics From architectures to applications: A review of neural quantum states

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Source-reported events for the cited work

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Observation 0e3b8bf3-fd5a-4333-9aae-d04ce1cf274d · outbound

This paper cites On Neural Differential Equations.

Deep Learning in Classical and Quantum Physics On Neural Differential Equations

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-05T20:23:56.880318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f42822d-e789-43b6-83cb-6c4b89b81fdf · outbound

This paper cites Solving The Quantum Many-Body Hamiltonian Learning Problem with Neural Differential Equations.

Deep Learning in Classical and Quantum Physics Solving The Quantum Many-Body Hamiltonian Learning Problem with Neural Differential Equations

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Resolution: unresolved; no resolver link, observed 2026-08-05T20:23:57.006676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35cbf4ed-1115-41e7-8187-d41e7e5b6b7f · outbound

This paper cites Quantum error correction below the surface code threshold.

Deep Learning in Classical and Quantum Physics Quantum error correction below the surface code threshold

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:24:00.300445Z

Source-reported events for the cited work

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Observation bfb05856-27d5-418a-9fda-72baa8a02f7d · outbound

This paper cites Universal quantum control through deep reinforcement learning.

Deep Learning in Classical and Quantum Physics Universal quantum control through deep reinforcement learning

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-05T20:23:57.238762Z

Source-reported events for the cited work

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Observation 8138d4ba-d5bd-4ce2-91f6-8e70aa92135a · outbound

This paper cites MIT press Cambridge, 1998.

Deep Learning in Classical and Quantum Physics MIT press Cambridge, 1998

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Source-reported events for the cited work

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Observation 1073568c-9cdc-4d17-bf69-65b9ac64d7a3 · outbound

This paper cites Enhancing quantum state tomography via resource-efficient attention-based neural networks.Physical Review Research, 6(3), Septem- ber 2024.

Deep Learning in Classical and Quantum Physics Enhancing quantum state tomography via resource-efficient attention-based neural networks.Physical Review Research, 6(3), Septem- ber 2024

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Observation ca854879-afd6-4196-9fe7-fac571b2438b · outbound

This paper cites Natural gradient works efficiently in learning.Neural computation, 10(2):251–276, 1998.

Deep Learning in Classical and Quantum Physics Natural gradient works efficiently in learning.Neural computation, 10(2):251–276, 1998

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Resolution: unresolved; no resolver link, observed 2026-08-05T20:23:57.482159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c69ff5a6-7f0e-4850-87c2-2cfcd41742ff · outbound

This paper cites New insights and perspectives on the natural gradient method.

Deep Learning in Classical and Quantum Physics New insights and perspectives on the natural gradient method

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:23:59.828133Z

Source-reported events for the cited work

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Observation feb75762-98b0-4350-a3ed-d2e24d0d9909 · outbound

This paper cites Daniel Freeman, Theodore R.

Deep Learning in Classical and Quantum Physics Daniel Freeman, Theodore R

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:23:59.681578Z

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Observation c36bb986-f80b-4010-b170-a3a21aedc226 · outbound

This paper cites Graph of thoughts: Solving elabo- rate problems with large language models.

Deep Learning in Classical and Quantum Physics Graph of thoughts: Solving elabo- rate problems with large language models

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:23:59.553308Z

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Observation 73172593-dd7c-48d0-a5fc-2629512352e6 · outbound

This paper cites Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners.

Deep Learning in Classical and Quantum Physics Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners

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Resolution: unresolved; no resolver link, observed 2026-08-05T20:23:57.854063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6a9e475-e2aa-4770-ba4f-4fcc47e36ee8 · outbound

This paper cites World of patterns.

Deep Learning in Classical and Quantum Physics World of patterns

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:23:59.404503Z

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Observation ccf2ac0d-9a21-4cfc-8351-e711b6e025b2 · outbound

This paper cites Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges.

Deep Learning in Classical and Quantum Physics Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges

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Resolution: unresolved; no resolver link, observed 2026-08-05T20:23:58.033007Z

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Unavailable: canonical work link unavailable.

Pith citing papers

Observation d83093d6-a7f8-4ac5-846f-2d87631101ab · inbound

Moment Optimization in the Navascu\'es-Pironio-Ac\'in Hierarchy cites this paper.

Moment Optimization in the Navascu\'es-Pironio-Ac\'in Hierarchy Deep Learning in Classical and Quantum Physics

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Resolution: unresolved; no resolver link, observed 2026-08-02T01:12:52.032997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdf8c3ad-7a79-4202-9c3c-031fecd9d543 · inbound

Hamilton-Zero: A Neural Tensor-Network Foundation Model for Ground States of Arbitrary Quadratic Qubit Hamiltonians cites this paper.

Hamilton-Zero: A Neural Tensor-Network Foundation Model for Ground States of Arbitrary Quadratic Qubit Hamiltonians Deep Learning in Classical and Quantum Physics

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Resolution: verified exact; local_arxiv, observed 2026-08-16T00:34:52.590290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.