Paper Citation Record · LEDGER

QSVM-RQNN: Low-Qubit Recurrent Quantum Similarity Learning for Condition Monitoring and Fault Classification

As of 13 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2608.09652.

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

pith.paper-citation-record.v1
2608.09652 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:26:19.076462Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

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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

40 of 40 outbound references displayed

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verified fuzzy11
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External citation measurements

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Outbound references

Observation 9aa8249e-ae7d-4066-bcf1-0dba8097e89b · outbound

This paper cites A cyber-physical systems architecture for industry 4.0-based manufacturing systems,.

QSVM-RQNN: Low-Qubit Recurrent Quantum Similarity Learning for Condition Monitoring and Fault Classification A cyber-physical systems architecture for industry 4.0-based manufacturing systems,

Reference 1

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Observation 12d89949-9e37-4d10-8258-018781daab1d · outbound

This paper cites A review of deep learning-based fault diagnosis techniques for axlebox bearings in rail vehicles,.

QSVM-RQNN: Low-Qubit Recurrent Quantum Similarity Learning for Condition Monitoring and Fault Classification A review of deep learning-based fault diagnosis techniques for axlebox bearings in rail vehicles,

Reference 2

Resolution: verified exact; raw_fallback, observed 2026-08-11T13:26:19.865642Z

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Observation 8b4fc529-5c87-4d6b-abc9-7d71c51d150c · outbound

This paper cites Industrial big data in an industry 4.0 environment: Challenges, schemes, and applications for predictive maintenance,.

QSVM-RQNN: Low-Qubit Recurrent Quantum Similarity Learning for Condition Monitoring and Fault Classification Industrial big data in an industry 4.0 environment: Challenges, schemes, and applications for predictive maintenance,

Reference 3

Resolution: verified exact; raw_fallback, observed 2026-08-11T13:26:19.791032Z

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Observation 097efb14-1af0-4649-82e3-2db84f3a9197 · outbound

This paper cites Deep learning,.

QSVM-RQNN: Low-Qubit Recurrent Quantum Similarity Learning for Condition Monitoring and Fault Classification Deep learning,

Reference 4

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Observation c1021587-7e71-453b-8477-827bd0b87057 · outbound

This paper cites Goodfellow, Y.

QSVM-RQNN: Low-Qubit Recurrent Quantum Similarity Learning for Condition Monitoring and Fault Classification Goodfellow, Y

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:26:20.020941Z

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Observation 039943e1-42fa-4c33-8cc7-6ec138838d38 · outbound

This paper cites Deep learning in medical ultrasound image analysis: A review,.

QSVM-RQNN: Low-Qubit Recurrent Quantum Similarity Learning for Condition Monitoring and Fault Classification Deep learning in medical ultrasound image analysis: A review,

Reference 6

Resolution: verified exact; raw_fallback, observed 2026-08-11T13:26:19.700195Z

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Observation b8a004dc-3575-41ca-ba1b-29865cdd73d0 · outbound

This paper cites an unresolved cited work.

QSVM-RQNN: Low-Qubit Recurrent Quantum Similarity Learning for Condition Monitoring and Fault Classification Unresolved cited work

Reference 7

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Source-reported events for the cited work

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Observation 388549ec-8223-4e60-894c-3c43164d1fff · outbound

This paper cites Quantum Computing in the NISQ era and beyond,.

QSVM-RQNN: Low-Qubit Recurrent Quantum Similarity Learning for Condition Monitoring and Fault Classification Quantum Computing in the NISQ era and beyond,

Reference 8

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Observation 03abcea7-30b0-45ff-93b4-800775a7d49b · outbound

This paper cites An introduction to quantum machine learning,.

QSVM-RQNN: Low-Qubit Recurrent Quantum Similarity Learning for Condition Monitoring and Fault Classification An introduction to quantum machine learning,

Reference 9

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Observation 76019884-69b2-4daa-af53-9e8a3f5fa160 · outbound

This paper cites Quantum machine learning,.

QSVM-RQNN: Low-Qubit Recurrent Quantum Similarity Learning for Condition Monitoring and Fault Classification Quantum machine learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:26:20.008506Z

Source-reported events for the cited work

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Observation 52ac046b-bd06-41d3-bbd3-ba680643aa0a · outbound

This paper cites Schuld and F.

QSVM-RQNN: Low-Qubit Recurrent Quantum Similarity Learning for Condition Monitoring and Fault Classification Schuld and F

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:26:19.983107Z

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.

Observation 89e12b07-591b-4887-996d-81379b6e13a4 · outbound

This paper cites Variational quantum algorithms,.

QSVM-RQNN: Low-Qubit Recurrent Quantum Similarity Learning for Condition Monitoring and Fault Classification Variational quantum algorithms,

Reference 12

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Observation 1e7b51d6-f18a-4f11-b6f3-f51f2370b007 · outbound

This paper cites Classification with Quantum Neural Networks on Near Term Processors.

QSVM-RQNN: Low-Qubit Recurrent Quantum Similarity Learning for Condition Monitoring and Fault Classification Classification with Quantum Neural Networks on Near Term Processors

Reference 13

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Observation eb149089-5e7f-47b8-8f13-2882c1f03f0d · outbound

This paper cites Quantum convolutional neural networks,.

QSVM-RQNN: Low-Qubit Recurrent Quantum Similarity Learning for Condition Monitoring and Fault Classification Quantum convolutional neural networks,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T13:26:18.975980Z

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Observation e47c0357-8fd4-47bd-bd6b-dd1b8482a97f · outbound

This paper cites Supervised learning with quantum- enhanced feature spaces,.

QSVM-RQNN: Low-Qubit Recurrent Quantum Similarity Learning for Condition Monitoring and Fault Classification Supervised learning with quantum- enhanced feature spaces,

Reference 15

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Source-reported events for the cited work

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Observation 94391bbd-e88e-4873-b237-c1f810e299a2 · outbound

This paper cites Quantum machine learning in feature hilbert spaces,.

QSVM-RQNN: Low-Qubit Recurrent Quantum Similarity Learning for Condition Monitoring and Fault Classification Quantum machine learning in feature hilbert spaces,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T13:26:18.984126Z

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Observation 5adc4fed-ab84-42e0-887f-32acd6ddf9a3 · outbound

This paper cites Circuit-centric quantum classifiers,.

QSVM-RQNN: Low-Qubit Recurrent Quantum Similarity Learning for Condition Monitoring and Fault Classification Circuit-centric quantum classifiers,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T13:26:18.988111Z

Source-reported events for the cited work

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Observation 08c8752a-fd2e-4b51-b29d-f7a5c74a1052 · outbound

This paper cites Barren plateaus in quantum neural network training landscapes,.

QSVM-RQNN: Low-Qubit Recurrent Quantum Similarity Learning for Condition Monitoring and Fault Classification Barren plateaus in quantum neural network training landscapes,

Reference 18

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Source-reported events for the cited work

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Observation 62630b46-01e9-48c2-995b-94d28308ab63 · outbound

This paper cites Training deep quantum neural networks,.

QSVM-RQNN: Low-Qubit Recurrent Quantum Similarity Learning for Condition Monitoring and Fault Classification Training deep quantum neural networks,

Reference 19

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Source-reported events for the cited work

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Observation 26b8ced9-3dc2-42d3-b25f-7fb36074aba4 · outbound

This paper cites The power of quantum neural networks,.

QSVM-RQNN: Low-Qubit Recurrent Quantum Similarity Learning for Condition Monitoring and Fault Classification The power of quantum neural networks,

Reference 20

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Observation fe4436e0-9684-4fb6-acd6-409f3d3bb9b8 · outbound

This paper cites A quantum approach to synthetic minority oversampling technique (smote),.

QSVM-RQNN: Low-Qubit Recurrent Quantum Similarity Learning for Condition Monitoring and Fault Classification A quantum approach to synthetic minority oversampling technique (smote),

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T13:26:19.004154Z

Source-reported events for the cited work

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Observation 742293a2-1d53-489f-9cd5-9b21ecd83f6d · outbound

This paper cites QSVM-QNN: Quantum support vector machine based quantum neural network learning algorithm for brain–computer interfacing systems,.

QSVM-RQNN: Low-Qubit Recurrent Quantum Similarity Learning for Condition Monitoring and Fault Classification QSVM-QNN: Quantum support vector machine based quantum neural network learning algorithm for brain–computer interfacing systems,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T13:26:19.008058Z

Source-reported events for the cited work

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Observation 7bc4c888-b86e-464e-983a-8ac3d191a4b1 · outbound

This paper cites Support-vector networks,.

QSVM-RQNN: Low-Qubit Recurrent Quantum Similarity Learning for Condition Monitoring and Fault Classification Support-vector networks,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T13:26:19.011932Z

Source-reported events for the cited work

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Observation 3767e221-50c9-449c-8335-6fab7b224bf0 · outbound

This paper cites An overview of statistical learning theory,.

QSVM-RQNN: Low-Qubit Recurrent Quantum Similarity Learning for Condition Monitoring and Fault Classification An overview of statistical learning theory,

Reference 24

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Observation ac2dc180-f613-4713-8573-7c767c04ab5a · outbound

This paper cites Support vector machine in machine condition monitoring and fault diagnosis,.

QSVM-RQNN: Low-Qubit Recurrent Quantum Similarity Learning for Condition Monitoring and Fault Classification Support vector machine in machine condition monitoring and fault diagnosis,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T13:26:19.023985Z

Source-reported events for the cited work

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Observation 95a59949-59c3-4064-af71-975d8d1c89f4 · outbound

This paper cites Fault diagnosis of rolling bearings based on GA-SVM model,.

QSVM-RQNN: Low-Qubit Recurrent Quantum Similarity Learning for Condition Monitoring and Fault Classification Fault diagnosis of rolling bearings based on GA-SVM model,

Reference 26

Resolution: verified exact; raw_fallback, observed 2026-08-11T13:26:19.478684Z

Source-reported events for the cited work

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Observation 4e6367cb-ee5f-4954-b596-47ec730739cf · outbound

This paper cites Quantum support vector machine for big data classification,.

QSVM-RQNN: Low-Qubit Recurrent Quantum Similarity Learning for Condition Monitoring and Fault Classification Quantum support vector machine for big data classification,

Reference 27

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T13:26:19.957694Z

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.

Observation 80a8f22f-6efe-4b02-9a61-cc942c1f2b14 · outbound

This paper cites Rolling bearing fault diagnosis based on quantum ls-svm,.

QSVM-RQNN: Low-Qubit Recurrent Quantum Similarity Learning for Condition Monitoring and Fault Classification Rolling bearing fault diagnosis based on quantum ls-svm,

Reference 28

Resolution: verified exact; doi, observed 2026-08-11T13:26:19.200453Z

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Observation 6dd1838f-a868-4192-9b6f-3c5c35849da1 · outbound

This paper cites An advanced quantum support vector machine for power quality disturbance detection and identification,.

QSVM-RQNN: Low-Qubit Recurrent Quantum Similarity Learning for Condition Monitoring and Fault Classification An advanced quantum support vector machine for power quality disturbance detection and identification,

Reference 29

Resolution: verified exact; doi, observed 2026-08-11T13:26:19.187049Z

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Observation 4056d4d6-6b74-4290-8c70-4594ecfce353 · outbound

This paper cites Solving industrial fault diagnosis problems with quantum computers,.

QSVM-RQNN: Low-Qubit Recurrent Quantum Similarity Learning for Condition Monitoring and Fault Classification Solving industrial fault diagnosis problems with quantum computers,

Reference 30

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Observation 8e3ed094-71dc-4e47-80ca-56f71ac9caa1 · outbound

This paper cites From quantum feature maps to quantum reservoir computing: Perspectives and applications,.

QSVM-RQNN: Low-Qubit Recurrent Quantum Similarity Learning for Condition Monitoring and Fault Classification From quantum feature maps to quantum reservoir computing: Perspectives and applications,

Reference 31

Resolution: verified exact; doi, observed 2026-08-11T13:26:19.171971Z

Source-reported events for the cited work

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Observation 627b7476-39ac-42dd-a9ca-ac76f07c6e94 · outbound

This paper cites Harnessing disordered quantum dynamics for machine learning,.

QSVM-RQNN: Low-Qubit Recurrent Quantum Similarity Learning for Condition Monitoring and Fault Classification Harnessing disordered quantum dynamics for machine learning,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:26:19.932112Z

Source-reported events for the cited work

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Observation d343876e-5ba5-467f-b2f4-454901e633b4 · outbound

This paper cites Solar panel images dataset,.

QSVM-RQNN: Low-Qubit Recurrent Quantum Similarity Learning for Condition Monitoring and Fault Classification Solar panel images dataset,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:26:19.919344Z

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.

Observation 2c59a9be-3973-4fc3-a31c-d24d0fe1a298 · outbound

This paper cites Cwru bearing datasets,.

QSVM-RQNN: Low-Qubit Recurrent Quantum Similarity Learning for Condition Monitoring and Fault Classification Cwru bearing datasets,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:26:19.906128Z

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.

Observation f6a136c5-2bd1-4305-a193-62d58a62b8e6 · outbound

This paper cites Available: https://doi.org/10.1103/PhysRevApplied.8.

QSVM-RQNN: Low-Qubit Recurrent Quantum Similarity Learning for Condition Monitoring and Fault Classification Available: https://doi.org/10.1103/PhysRevApplied.8

Reference 35

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Source-reported events for the cited work

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Observation 52cdae14-a3df-4b79-a47b-12c94b324974 · outbound

This paper cites Industrial fault detection dataset,.

QSVM-RQNN: Low-Qubit Recurrent Quantum Similarity Learning for Condition Monitoring and Fault Classification Industrial fault detection dataset,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:26:19.878508Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 555b943c-e528-478d-aeb2-ede1bf9da89e · outbound

This paper cites Analysis of the vehicle routing problem solved via hybrid quantum algorithms in the presence of noisy channels,.

QSVM-RQNN: Low-Qubit Recurrent Quantum Similarity Learning for Condition Monitoring and Fault Classification Analysis of the vehicle routing problem solved via hybrid quantum algorithms in the presence of noisy channels,

Reference 37

Resolution: verified exact; raw_fallback, observed 2026-08-11T13:26:19.393823Z

Source-reported events for the cited work

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Observation 969057bb-d1da-4b6e-bcc1-2cc210a103a3 · outbound

This paper cites Engine failure detection dataset,.

QSVM-RQNN: Low-Qubit Recurrent Quantum Similarity Learning for Condition Monitoring and Fault Classification Engine failure detection dataset,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:26:19.892739Z

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.

Observation d67a9d0d-1a50-4126-9881-39468ab438a4 · outbound

This paper cites Available: https://doi.org/10.1109/72.788640.

QSVM-RQNN: Low-Qubit Recurrent Quantum Similarity Learning for Condition Monitoring and Fault Classification Available: https://doi.org/10.1109/72.788640

Reference 1999

Resolution: unresolved; no resolver link, observed 2026-08-11T13:26:19.019905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46dc6ccc-9753-4c3f-95e4-8c49b53721fe · outbound

This paper cites Available: https://www.nature.com/articles/nature23474.

QSVM-RQNN: Low-Qubit Recurrent Quantum Similarity Learning for Condition Monitoring and Fault Classification Available: https://www.nature.com/articles/nature23474

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:26:19.995896Z

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.

Pith citing papers

No inbound Pith citation observations are available.