Paper Citation Record · LEDGER

QGAN-based data augmentation for hybrid quantum-classical neural networks

As of 8 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2505.24780.

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

pith.paper-citation-record.v1
2505.24780 v1

Coverage vector

measured 45 of 45 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-07T12:17:08.269768Z

measured 45 of 45 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

45 of 45 outbound references displayed

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verified fuzzy6
unresolved22
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malformed identifier7
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External citation measurements

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Outbound references

Observation e8aef595-f051-4c78-8f2a-c5a0630c48cc · outbound

This paper cites Feynman, Simulating physics with computers, CRc Press, 2018.

QGAN-based data augmentation for hybrid quantum-classical neural networks Feynman, Simulating physics with computers, CRc Press, 2018

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:11.980320Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3e0715b8-95b7-4acd-8be4-dbe7f9efd98b · outbound

This paper cites Biamonte, P.

QGAN-based data augmentation for hybrid quantum-classical neural networks Biamonte, P

Reference 2

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Observation 98f01ae4-782e-45b4-b65c-9f9bd9fa4da1 · outbound

This paper cites Schuld, I.

QGAN-based data augmentation for hybrid quantum-classical neural networks Schuld, I

Reference 3

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Observation bffc35b0-88d1-4e5a-a7d3-428260f2c26b · outbound

This paper cites Havl ´ ıˇ cek, A.D.

QGAN-based data augmentation for hybrid quantum-classical neural networks Havl ´ ıˇ cek, A.D

Reference 4

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Observation dbe81a0b-3c1e-40af-bc0e-94f9b20caf11 · outbound

This paper cites Sajjan, J.

QGAN-based data augmentation for hybrid quantum-classical neural networks Sajjan, J

Reference 5

Resolution: verified exact; doi, observed 2026-08-07T12:17:09.910528Z

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Observation 6bb05741-30f8-4953-b2ba-cdff91b33074 · outbound

This paper cites Liu, K.H.

QGAN-based data augmentation for hybrid quantum-classical neural networks Liu, K.H

Reference 6

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Observation 74a8519a-8882-44c1-8da3-b11b797a5404 · outbound

This paper cites Arthur, P.

QGAN-based data augmentation for hybrid quantum-classical neural networks Arthur, P

Reference 7

Resolution: malformed identifier; no resolver link, observed 2026-08-07T12:17:05.432269Z

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Observation 1cd9ba5c-d124-43cb-b1f7-bda302192a79 · outbound

This paper cites an unresolved cited work.

QGAN-based data augmentation for hybrid quantum-classical neural networks Unresolved cited work

Reference 8

Resolution: malformed identifier; no resolver link, observed 2026-08-07T12:17:05.534603Z

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Observation 1a2a56d6-930e-429c-95eb-9ea5fd5b28f1 · outbound

This paper cites Liang, W.

QGAN-based data augmentation for hybrid quantum-classical neural networks Liang, W

Reference 9

Resolution: verified exact; doi, observed 2026-08-07T12:17:09.741968Z

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Observation ae7f3d73-c7e9-4e3f-a57c-4c8120d450d8 · outbound

This paper cites Paquet, F.

QGAN-based data augmentation for hybrid quantum-classical neural networks Paquet, F

Reference 10

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Observation 8114a8db-069e-42d7-99b5-bafb91a9ec6e · outbound

This paper cites Gircha, A.S.

QGAN-based data augmentation for hybrid quantum-classical neural networks Gircha, A.S

Reference 11

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Observation 7456c9dd-7313-4301-8fc6-7422e2257086 · outbound

This paper cites Preskill, Quantum computing in the NISQ era and beyond, Quan- tum.

QGAN-based data augmentation for hybrid quantum-classical neural networks Preskill, Quantum computing in the NISQ era and beyond, Quan- tum

Reference 12

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Observation f8e8c573-97f5-42ce-8411-dcbf23e06b87 · outbound

This paper cites Bharti, A.

QGAN-based data augmentation for hybrid quantum-classical neural networks Bharti, A

Reference 13

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Observation 538dec90-26e3-40ad-a757-4c97268aea6b · outbound

This paper cites Shorten, T.M.

QGAN-based data augmentation for hybrid quantum-classical neural networks Shorten, T.M

Reference 14

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Observation 54984bb3-8d37-4932-8344-a75bfd89a1dd · outbound

This paper cites Nielsen, I.L.

QGAN-based data augmentation for hybrid quantum-classical neural networks Nielsen, I.L

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:11.900510Z

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Observation 9efea112-44f7-4805-9a05-1b3c0cc82cab · outbound

This paper cites Nokhwal, S.

QGAN-based data augmentation for hybrid quantum-classical neural networks Nokhwal, S

Reference 16

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Observation 7aeb8403-5918-494b-9993-bb3f7cb40454 · outbound

This paper cites Dallaire-Demers, N.

QGAN-based data augmentation for hybrid quantum-classical neural networks Dallaire-Demers, N

Reference 17

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Observation 77329924-3c39-4372-a934-7a6f86e119c4 · outbound

This paper cites Lloyd, C.

QGAN-based data augmentation for hybrid quantum-classical neural networks Lloyd, C

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:11.667801Z

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Observation e73070d5-9346-438d-a283-cde113d6b228 · outbound

This paper cites Zoufal, A.

QGAN-based data augmentation for hybrid quantum-classical neural networks Zoufal, A

Reference 19

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Observation 8b397bcd-e5f8-453b-a35f-5c35f3885c2e · outbound

This paper cites Riofrio, O.

QGAN-based data augmentation for hybrid quantum-classical neural networks Riofrio, O

Reference 20

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Observation 37256d73-420f-47fa-8361-f88d5975fb34 · outbound

This paper cites Hibat-Allah, M.

QGAN-based data augmentation for hybrid quantum-classical neural networks Hibat-Allah, M

Reference 21

Resolution: verified exact; doi, observed 2026-08-07T12:17:09.333485Z

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Observation c6f9d5fd-9281-4eb3-bc1b-0fa519024768 · outbound

This paper cites Benedetti, E.

QGAN-based data augmentation for hybrid quantum-classical neural networks Benedetti, E

Reference 22

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QGAN-based data augmentation for hybrid quantum-classical neural networks Unresolved cited work

Reference 23

Resolution: verified exact; doi, observed 2026-08-07T12:17:09.129579Z

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Observation 8e2cda8b-0151-4a48-b76e-c2e68f9965c6 · outbound

This paper cites Ahmed, C.

QGAN-based data augmentation for hybrid quantum-classical neural networks Ahmed, C

Reference 24

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T12:17:11.440478Z

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Observation d472100d-3040-4f89-848f-dbd93f3d63dc · outbound

This paper cites Niu, A.Zlokapa, M.

QGAN-based data augmentation for hybrid quantum-classical neural networks Niu, A.Zlokapa, M

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T12:17:06.703708Z

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Observation 3dc11582-9a23-4294-949d-4ae9793e918b · outbound

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QGAN-based data augmentation for hybrid quantum-classical neural networks Unresolved cited work

Reference 26

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Observation ef305b93-2f07-4339-b2de-7c9454ec9782 · outbound

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QGAN-based data augmentation for hybrid quantum-classical neural networks Unresolved cited work

Reference 27

Resolution: verified exact; doi, observed 2026-08-07T12:17:08.973769Z

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Observation 064a42b0-ffe1-4076-adc5-8eac38316688 · outbound

This paper cites an unresolved cited work.

QGAN-based data augmentation for hybrid quantum-classical neural networks Unresolved cited work

Reference 28

Resolution: verified exact; doi, observed 2026-08-07T12:17:08.823342Z

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Observation 574ef7cc-c012-4195-8750-e807bad4004a · outbound

This paper cites Broadbent, E.

QGAN-based data augmentation for hybrid quantum-classical neural networks Broadbent, E

Reference 29

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T12:17:11.310121Z

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Observation 997e1360-1710-4530-9769-4af095a5d136 · outbound

This paper cites Bennett, G.

QGAN-based data augmentation for hybrid quantum-classical neural networks Bennett, G

Reference 30

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Observation a94452db-2516-41de-8a6f-b270b7985c68 · outbound

This paper cites Bouwmeester, J.W.

QGAN-based data augmentation for hybrid quantum-classical neural networks Bouwmeester, J.W

Reference 31

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Observation 2e88b4e6-7930-419d-a1f7-0f7a62651fc4 · outbound

This paper cites Sim, P.D.

QGAN-based data augmentation for hybrid quantum-classical neural networks Sim, P.D

Reference 32

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Observation 901afb20-04a5-4d19-959d-0300995aba5b · outbound

This paper cites Abbas, D.

QGAN-based data augmentation for hybrid quantum-classical neural networks Abbas, D

Reference 33

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Observation 37eac1e3-0767-4c5f-9170-185c515eb044 · outbound

This paper cites Chen, T.C.

QGAN-based data augmentation for hybrid quantum-classical neural networks Chen, T.C

Reference 34

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Observation 23eb78bf-5f97-46f1-941c-78638d76274d · outbound

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QGAN-based data augmentation for hybrid quantum-classical neural networks Unresolved cited work

Reference 35

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Observation 8a100436-b997-4dcb-b2c7-d63fa938bd89 · outbound

This paper cites Qi, S.Y.C.

QGAN-based data augmentation for hybrid quantum-classical neural networks Qi, S.Y.C

Reference 36

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Observation 3e76f216-1d7b-4bd6-b4ac-5fcd57153605 · outbound

This paper cites Generative visual ma- nipulation on the natural image manifold[C].

QGAN-based data augmentation for hybrid quantum-classical neural networks Generative visual ma- nipulation on the natural image manifold[C]

Reference 37

Resolution: verified exact; doi, observed 2026-08-07T12:17:08.631940Z

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Observation a30a09c8-b42d-41bb-92a6-ecaa88cacfa2 · outbound

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QGAN-based data augmentation for hybrid quantum-classical neural networks Unresolved cited work

Reference 38

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Observation 978ed382-d7f1-43c2-b895-a3e47b49e473 · outbound

This paper cites Gulrajani, F.

QGAN-based data augmentation for hybrid quantum-classical neural networks Gulrajani, F

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:11.171968Z

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Observation 5360558d-e4c4-4fd3-9a1a-052758a67c40 · outbound

This paper cites Goodfellow, J.

QGAN-based data augmentation for hybrid quantum-classical neural networks Goodfellow, J

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:17:11.051560Z

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Observation 422b05cc-d750-42a7-be82-a834e24e0b01 · outbound

This paper cites Huang, Y.

QGAN-based data augmentation for hybrid quantum-classical neural networks Huang, Y

Reference 41

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Observation fbc16cf8-21be-4e87-b3ac-638af7fb8e2a · outbound

This paper cites Mitarai, M.

QGAN-based data augmentation for hybrid quantum-classical neural networks Mitarai, M

Reference 42

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Observation c2a66944-28b6-4cb8-91bf-3cfca9c6d121 · outbound

This paper cites Li, The mnist database of handwritten digit images for machine learning research, IEEE Signal Process.

QGAN-based data augmentation for hybrid quantum-classical neural networks Li, The mnist database of handwritten digit images for machine learning research, IEEE Signal Process

Reference 43

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Observation 6f01bb10-8c8c-437e-9630-f8817e752b9e · outbound

This paper cites Impact of Data Augmentation on QCNNs.

QGAN-based data augmentation for hybrid quantum-classical neural networks Impact of Data Augmentation on QCNNs

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:17:08.495830Z

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Observation ecaa5c7b-21ae-4a17-ac48-ff45dc8604de · outbound

This paper cites Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.

QGAN-based data augmentation for hybrid quantum-classical neural networks Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T12:17:08.269768Z

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