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Paper Citation Record · LEDGER

Auto Quantum Machine Learning for Multisource Classification

As of 9 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2602.18642.

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

pith.paper-citation-record.v1
2602.18642 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T21:59:15.432285Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

30 of 30 outbound references displayed

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  • verified fuzzy0
  • unresolved25
  • parse uncertain0
  • malformed identifier0
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External citation measurements

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Outbound references

Observation 6b24dccb-d183-433a-8ef1-0aef1579ea76 · outbound

This paper cites Nature Computational Science1(6), 403–409 (Jun 2021).

Auto Quantum Machine Learning for Multisource Classification Nature Computational Science1(6), 403–409 (Jun 2021)

Reference 1

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Observation 1cdd1e61-f5d7-4567-950d-5f04da7355a0 · outbound

This paper cites Optuna: A Next-generation Hyperparameter Optimization Framework.

Auto Quantum Machine Learning for Multisource Classification Optuna: A Next-generation Hyperparameter Optimization Framework

Reference 2

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Observation 4c825599-97e5-4024-b70a-3abb34f30371 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence 41(2), 423–443 (Feb 2019).

Auto Quantum Machine Learning for Multisource Classification IEEE Transactions on Pattern Analysis and Machine Intelligence 41(2), 423–443 (Feb 2019)

Reference 3

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Observation 49688d8f-92e3-4f9b-9ffb-340490a07a96 · outbound

This paper cites Nature549(7671), 195–202 (Sep 2017).

Auto Quantum Machine Learning for Multisource Classification Nature549(7671), 195–202 (Sep 2017)

Reference 4

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Observation d12b64d8-5142-4ab3-9e55-a704fa7172d2 · outbound

This paper cites In: 2018 25th IEEE International Conference on Image Process- ing (ICIP).

Auto Quantum Machine Learning for Multisource Classification In: 2018 25th IEEE International Conference on Image Process- ing (ICIP)

Reference 5

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Observation df2c2dd4-19f5-4fd8-902f-5d001f2c04c1 · outbound

This paper cites https://doi.org/10.1109/TAES.1986.310699.

Auto Quantum Machine Learning for Multisource Classification https://doi.org/10.1109/TAES.1986.310699

Reference 6

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Observation 18e7cc60-ffdb-437b-a1ee-26f0c057cf6c · outbound

This paper cites Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive Review.

Auto Quantum Machine Learning for Multisource Classification Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive Review

Reference 7

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Observation 2ad5e0b6-9e41-4d97-ae29-f7bbd56f60bb · outbound

This paper cites Semantic Image Segmentation: Two Decades of Research.

Auto Quantum Machine Learning for Multisource Classification Semantic Image Segmentation: Two Decades of Research

Reference 8

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Observation dc2343b0-1f9a-4def-96e0-9c3682a3e840 · outbound

This paper cites Proceedings of the IEEE103(9), 1585–1601 (Sep 2015).

Auto Quantum Machine Learning for Multisource Classification Proceedings of the IEEE103(9), 1585–1601 (Sep 2015)

Reference 9

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Observation d589a5e2-60ee-4f87-bf14-ebe8309c9dce · outbound

This paper cites https://doi.org/10.5281/zenodo.18717347, https://doi.org/10.5281/zenodo.18717347.

Auto Quantum Machine Learning for Multisource Classification https://doi.org/10.5281/zenodo.18717347, https://doi.org/10.5281/zenodo.18717347

Reference 10

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doi, observed 2026-08-02T22:03:44.810481Z

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Observation e9e598c9-3236-4be1-831d-8abd3f8c4d53 · outbound

This paper cites Information Fusion45, 150–152 (Jan 2019).

Auto Quantum Machine Learning for Multisource Classification Information Fusion45, 150–152 (Jan 2019)

Reference 11

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Observation eacb19cc-8b23-43c8-bc03-d6bff1ebd532 · outbound

This paper cites Bulletin of the Polish Academy of Sciences Technical Sciences73(5), e154279 (2025).

Auto Quantum Machine Learning for Multisource Classification Bulletin of the Polish Academy of Sciences Technical Sciences73(5), e154279 (2025)

Reference 12

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Observation e23940e1-6b70-4c71-8493-a7f5a0080cdc · outbound

This paper cites Journal of Big Data7(1), 28.

Auto Quantum Machine Learning for Multisource Classification Journal of Big Data7(1), 28

Reference 13

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Observation 4c6f8444-4846-4527-bf62-b0e74ba85ae3 · outbound

This paper cites Na- ture567(7747), 209–212 (Mar 2019).

Auto Quantum Machine Learning for Multisource Classification Na- ture567(7747), 209–212 (Mar 2019)

Reference 14

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Observation f8bdb845-1354-4330-869a-e1c436a75b6f · outbound

This paper cites Nature Communications 12(1), 2631 (May 2021).

Auto Quantum Machine Learning for Multisource Classification Nature Communications 12(1), 2631 (May 2021)

Reference 15

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Observation 1b95405e-3811-4749-ac7d-f241968d24a5 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Auto Quantum Machine Learning for Multisource Classification Adam: A Method for Stochastic Optimization

Reference 16

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Observation ed89514f-3cc9-4d76-b416-ed30ca3c331d · outbound

This paper cites AutoQML: Automated Quantum Machine Learning for Wi-Fi Integrated Sensing and Communications.

Auto Quantum Machine Learning for Multisource Classification AutoQML: Automated Quantum Machine Learning for Wi-Fi Integrated Sensing and Communications

Reference 17

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Observation e06a9e0d-6f8b-45e8-ad4d-10b115aff1dd · outbound

This paper cites an unresolved cited work.

Auto Quantum Machine Learning for Multisource Classification Unresolved cited work

Reference 18

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Observation 301d5ec6-00d7-41c0-ab4b-9307ef3b979b · outbound

This paper cites IEEE Transactions on Neural Networks and Learning Systems 33(2), 747–761 (Feb 2022).

Auto Quantum Machine Learning for Multisource Classification IEEE Transactions on Neural Networks and Learning Systems 33(2), 747–761 (Feb 2022)

Reference 19

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Observation 0e6a580b-1799-4976-9393-06624905fa07 · outbound

This paper cites Chinese Journal of Aeronautics37(7), 24–58 (Jul 2024).

Auto Quantum Machine Learning for Multisource Classification Chinese Journal of Aeronautics37(7), 24–58 (Jul 2024)

Reference 20

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Observation 328248ef-8734-4023-8aaf-09ffb46525c0 · outbound

This paper cites In: 2024 IEEE International Conference on Quantum Com- puting and Engineering (QCE).

Auto Quantum Machine Learning for Multisource Classification In: 2024 IEEE International Conference on Quantum Com- puting and Engineering (QCE)

Reference 21

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Observation 83b0712a-069d-462b-a02a-5f3e1f5e398d · outbound

This paper cites Prentice Hall, 3rd edn.

Auto Quantum Machine Learning for Multisource Classification Prentice Hall, 3rd edn

Reference 22

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Observation 950b8188-1a4c-496c-8586-3c157c2252b2 · outbound

This paper cites Computer Science26(SI) (Jul 2025).

Auto Quantum Machine Learning for Multisource Classification Computer Science26(SI) (Jul 2025)

Reference 23

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Observation c83d523d-0917-478e-ae42-473789b52024 · outbound

This paper cites an unresolved cited work.

Auto Quantum Machine Learning for Multisource Classification Unresolved cited work

Reference 24

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Observation b233f09c-3e82-4548-9578-220f4cb07dbb · outbound

This paper cites Physical Review Letters122(4), 040504 (Feb 2019).

Auto Quantum Machine Learning for Multisource Classification Physical Review Letters122(4), 040504 (Feb 2019)

Reference 25

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Observation b23a9161-f431-40cc-8d8e-2871656c4fe8 · outbound

This paper cites The effect of data encoding on the expressive power of variational quantum machine learning models.

Auto Quantum Machine Learning for Multisource Classification The effect of data encoding on the expressive power of variational quantum machine learning models

Reference 26

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Observation 26c664f6-f13e-4763-a880-f838e00cfe5b · outbound

This paper cites On Circuit-based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification.

Auto Quantum Machine Learning for Multisource Classification On Circuit-based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification

Reference 27

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Observation 319eb453-fefb-4848-ad78-2bfd0791e68d · outbound

This paper cites IEEE Transactions on Aerospace and Electronic Systems59(2), 2002–2012 (2023).

Auto Quantum Machine Learning for Multisource Classification IEEE Transactions on Aerospace and Electronic Systems59(2), 2002–2012 (2023)

Reference 28

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Observation 585ef006-2a38-49f8-ad24-faf548440e69 · outbound

This paper cites Information Fusion10(1), 25–50 (Jan 2009).

Auto Quantum Machine Learning for Multisource Classification Information Fusion10(1), 25–50 (Jan 2009)

Reference 29

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Observation 2211c233-a46e-4e94-a9b3-2426fac3c1f3 · outbound

This paper cites https://doi.org/10.48550/arXiv.2601.07856.

Auto Quantum Machine Learning for Multisource Classification https://doi.org/10.48550/arXiv.2601.07856

Reference 30

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Pith citing papers

No inbound Pith citation observations are available.