Paper Citation Record · LEDGER

Quantum Circuits for Quantum Convolutions: A Quantum Convolutional Autoencoder

As of 21 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2509.00637.

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

pith.paper-citation-record.v1
2509.00637 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:26:38.422050Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

28 of 28 outbound references displayed

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verified fuzzy20
unresolved8
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External citation measurements

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Outbound references

Observation 9e0ece7f-1095-4a91-ae25-91c3f942b4d5 · outbound

This paper cites In: 2017 International Conference on Communication and Signal Processing (ICCSP), pp.

Quantum Circuits for Quantum Convolutions: A Quantum Convolutional Autoencoder In: 2017 International Conference on Communication and Signal Processing (ICCSP), pp

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:38.864229Z

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Observation 1d28f86d-84ea-443d-b040-ade90fd284ea · outbound

This paper cites Orduz et.

Quantum Circuits for Quantum Convolutions: A Quantum Convolutional Autoencoder Orduz et

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:38.848885Z

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Observation 68523e49-c957-4d92-82c4-59953e27d848 · outbound

This paper cites Nature 549(7671), 195–202 (2017).

Quantum Circuits for Quantum Convolutions: A Quantum Convolutional Autoencoder Nature 549(7671), 195–202 (2017)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:38.833251Z

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Observation d8c0c126-139e-4f27-aa28-6e27d34c042b · outbound

This paper cites IEEE Geoscience and Remote Sensing Magazine 6(3), 44–68 (2018).

Quantum Circuits for Quantum Convolutions: A Quantum Convolutional Autoencoder IEEE Geoscience and Remote Sensing Magazine 6(3), 44–68 (2018)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:38.818042Z

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Observation 4272dabf-abf0-44c5-8b40-e69b3f6dccc7 · outbound

This paper cites MIT Press (2016).

Quantum Circuits for Quantum Convolutions: A Quantum Convolutional Autoencoder MIT Press (2016)

Reference 5

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Observation 465526ab-f40f-4ff7-af50-24006556c479 · outbound

This paper cites Cambridge University Press (2018).

Quantum Circuits for Quantum Convolutions: A Quantum Convolutional Autoencoder Cambridge University Press (2018)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:38.792197Z

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Observation e6c2e152-cd32-4771-82fd-7241d3f6020c · outbound

This paper cites In: International conference on neural information processing, pp.

Quantum Circuits for Quantum Convolutions: A Quantum Convolutional Autoencoder In: International conference on neural information processing, pp

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:38.776306Z

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Observation 7323361c-5e50-4d33-8f67-9e634d01c51d · outbound

This paper cites an unresolved cited work.

Quantum Circuits for Quantum Convolutions: A Quantum Convolutional Autoencoder Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:26:38.760604Z

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Observation 04f2b2ba-82ee-4c90-9806-0bac345cbf66 · outbound

This paper cites In: Image Analysis and Interpretation (SSIAI), 2014 IEEE Southwest Symposium on, pp.

Quantum Circuits for Quantum Convolutions: A Quantum Convolutional Autoencoder In: Image Analysis and Interpretation (SSIAI), 2014 IEEE Southwest Symposium on, pp

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:38.746085Z

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Observation e44fbf3a-8bdf-4ce6-b2a5-5cda5147a67e · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Quantum Circuits for Quantum Convolutions: A Quantum Convolutional Autoencoder Adam: A Method for Stochastic Optimization

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T13:26:38.341510Z

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Observation 8d69b1de-d6e6-436e-91b5-e915209ea677 · outbound

This paper cites an unresolved cited work.

Quantum Circuits for Quantum Convolutions: A Quantum Convolutional Autoencoder Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T13:26:38.346263Z

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Observation e28b4795-edd3-4188-9c88-84353961169d · outbound

This paper cites ATT Labs [Online].

Quantum Circuits for Quantum Convolutions: A Quantum Convolutional Autoencoder ATT Labs [Online]

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T13:26:38.350827Z

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Observation f3a255e9-dc87-445e-af4c-c51f972e2c60 · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

Quantum Circuits for Quantum Convolutions: A Quantum Convolutional Autoencoder UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T13:26:38.355108Z

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Observation efa41207-a8bc-403c-879d-5649a62dde42 · outbound

This paper cites In: 2020 International Conference on Computational Science and Computational Intelligence, pp.

Quantum Circuits for Quantum Convolutions: A Quantum Convolutional Autoencoder In: 2020 International Conference on Computational Science and Computational Intelligence, pp

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:38.708380Z

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Observation 0807b2e5-7da5-459b-a849-e6bee43fa6bf · outbound

This paper cites In: Proc.

Quantum Circuits for Quantum Convolutions: A Quantum Convolutional Autoencoder In: Proc

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:38.693857Z

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Observation 1881284c-7af6-44fa-90e9-8adba534a0a4 · outbound

This paper cites In: 21st International Conference on Artificial Intelligence (ICAI 2019) (2019).

Quantum Circuits for Quantum Convolutions: A Quantum Convolutional Autoencoder In: 21st International Conference on Artificial Intelligence (ICAI 2019) (2019)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:38.679627Z

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Observation 7fe30703-3743-45f8-bf32-2b2d242d940c · outbound

This paper cites Quantum Science and Technology 2(4), 045,001 (2017).

Quantum Circuits for Quantum Convolutions: A Quantum Convolutional Autoencoder Quantum Science and Technology 2(4), 045,001 (2017)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:38.663319Z

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Observation 096bb6c5-2277-4b6c-b5d6-aba38f83d8df · outbound

This paper cites Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 7(5), e1212 (2017).

Quantum Circuits for Quantum Convolutions: A Quantum Convolutional Autoencoder Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 7(5), e1212 (2017)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:38.648722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ad6de43f-b7e1-4242-acd7-696e265c4633 · outbound

This paper cites Supervised quantum machine learning models are kernel methods.

Quantum Circuits for Quantum Convolutions: A Quantum Convolutional Autoencoder Supervised quantum machine learning models are kernel methods

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T13:26:38.381525Z

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Observation 87d3433f-820f-4d70-b669-43cf746b6385 · outbound

This paper cites Contemporary Physics 56(2), 172–185 (2014).

Quantum Circuits for Quantum Convolutions: A Quantum Convolutional Autoencoder Contemporary Physics 56(2), 172–185 (2014)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:38.634064Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 33262ed4-328b-4ed9-8054-2c1d6ebf317e · outbound

This paper cites Lossy Image Compression with Compressive Autoencoders.

Quantum Circuits for Quantum Convolutions: A Quantum Convolutional Autoencoder Lossy Image Compression with Compressive Autoencoders

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T13:26:38.389995Z

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Observation 692c568d-ee05-4a16-be52-664b4c3c9286 · outbound

This paper cites Computational intelligence and neuroscience 2018 (2018) A Quantum Convolutional Autoencoder 11.

Quantum Circuits for Quantum Convolutions: A Quantum Convolutional Autoencoder Computational intelligence and neuroscience 2018 (2018) A Quantum Convolutional Autoencoder 11

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:38.618652Z

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Observation 01f61520-a843-415e-97ba-11cab322855a · outbound

This paper cites Neuro- computing 184, 232–242 (2016).

Quantum Circuits for Quantum Convolutions: A Quantum Convolutional Autoencoder Neuro- computing 184, 232–242 (2016)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:38.603205Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1a1d0e73-07d9-4c9e-953f-103b974e5d47 · outbound

This paper cites Physical Review E 96(2), 022,140 (2017).

Quantum Circuits for Quantum Convolutions: A Quantum Convolutional Autoencoder Physical Review E 96(2), 022,140 (2017)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:38.586987Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation eefd516b-ef90-4222-8108-6b6be816f426 · outbound

This paper cites Academic Press (2014).

Quantum Circuits for Quantum Convolutions: A Quantum Convolutional Autoencoder Academic Press (2014)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:38.571963Z

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Observation 833ccdb5-5414-4836-8a22-0c25ad7e0fc7 · outbound

This paper cites Expert Systems with Applications 68, 93–105 (2017).

Quantum Circuits for Quantum Convolutions: A Quantum Convolutional Autoencoder Expert Systems with Applications 68, 93–105 (2017)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:38.556534Z

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Observation 23b2e181-b6d7-4d28-baee-8d26ddceb68f · outbound

This paper cites Computational Social Networks 6(1), 1–23 (2019).

Quantum Circuits for Quantum Convolutions: A Quantum Convolutional Autoencoder Computational Social Networks 6(1), 1–23 (2019)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:38.539386Z

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Observation 88b84f6b-b18a-4cfd-b1c4-f989ed299035 · outbound

This paper cites In: 36th Chinese Control Conference, pp.

Quantum Circuits for Quantum Convolutions: A Quantum Convolutional Autoencoder In: 36th Chinese Control Conference, pp

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:26:38.523478Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

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