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Paper Citation Record · LEDGER

Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study

As of 19 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:2605.27923.

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

pith.paper-citation-record.v1
2605.27923 v2

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T13:00:00.302915Z

measured 28 of 28 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T07:34:47.006198Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T11:49:50.891502Z

Reference resolution

27 of 27 outbound references displayed

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  • verified fuzzy0
  • unresolved27
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 43684742-f5f8-4e57-afc6-fd6ef89d02e4 · outbound

This paper cites A comprehensive review of object detection with deep learning,.

Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study A comprehensive review of object detection with deep learning,

Reference 1

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Observation 890fee7b-2dc7-4d88-94d2-3295dfe8f396 · outbound

This paper cites Implicit IoT authentication using on-phone ANN models and breathing data,.

Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study Implicit IoT authentication using on-phone ANN models and breathing data,

Reference 2

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Observation d5233223-6f2d-4778-bbd7-8b34d494588e · outbound

This paper cites Improving robustness to model inversion attacks via sparse coding architectures,.

Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study Improving robustness to model inversion attacks via sparse coding architectures,

Reference 3

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Observation ab480f19-3b5a-456e-8305-778ac455ad2e · outbound

This paper cites Environment knowledge-driven generic models to detect coughs from audio recordings,.

Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study Environment knowledge-driven generic models to detect coughs from audio recordings,

Reference 4

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Observation fb206775-184f-486d-a96a-11383db1ebca · outbound

This paper cites Are neuro-inspired multi-modal vision-language models resilient to membership inference privacy leakage?,.

Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study Are neuro-inspired multi-modal vision-language models resilient to membership inference privacy leakage?,

Reference 5

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Observation a114ce5b-bc6d-4d67-bd0b-e3eef91060cd · outbound

This paper cites Bag of on-phone ANNs to secure IoT objects using wearable and smartphone biometrics,.

Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study Bag of on-phone ANNs to secure IoT objects using wearable and smartphone biometrics,

Reference 6

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Observation c3c162c7-b82d-4133-9647-201fb76079c7 · outbound

This paper cites Grand View Research: Computer Vision Market Size, Share & Trends Analysis Report.

Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study Grand View Research: Computer Vision Market Size, Share & Trends Analysis Report

Reference 7

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Observation b34e13ff-104e-4c71-ae50-51df8ae8caf9 · outbound

This paper cites Advances in quantum ma- chine learning and deep learning for image classification: A survey,.

Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study Advances in quantum ma- chine learning and deep learning for image classification: A survey,

Reference 8

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Observation 7a1c760b-dd00-4c5e-920c-a069411e1051 · outbound

This paper cites Systematic literature review: Quantum machine learning and its applications,.

Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study Systematic literature review: Quantum machine learning and its applications,

Reference 9

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Observation f05beb37-d838-4fd1-a100-08f81bcb8490 · outbound

This paper cites Grand View Research: Quantum Computing Market Size, Share & Trends Analysis Report.

Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study Grand View Research: Quantum Computing Market Size, Share & Trends Analysis Report

Reference 10

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Observation e1616fa2-3e32-4a1f-9e38-3c0538b521fd · outbound

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

Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study Supervised learning with quantum- enhanced feature spaces,

Reference 11

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Observation 8f63079f-6b42-448e-8902-32df9d08b5ec · outbound

This paper cites Entanglement-based feature extraction by tensor network machine learning,.

Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study Entanglement-based feature extraction by tensor network machine learning,

Reference 12

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Observation 15089309-a56f-42c9-9403-f08af09a6d52 · outbound

This paper cites Alabama Transportation Institute (ATI).

Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study Alabama Transportation Institute (ATI)

Reference 13

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Observation 59f95bd7-2924-4f68-abba-d06b4b1a561a · outbound

This paper cites National Center for Transportation Cybersecurity and Resiliency (TraCR).

Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study National Center for Transportation Cybersecurity and Resiliency (TraCR)

Reference 14

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Observation f00fa0c1-e58d-49a9-bf15-76da52a5c365 · outbound

This paper cites An efficient design technique of a quantum divider circuit,.

Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study An efficient design technique of a quantum divider circuit,

Reference 15

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Observation f13727aa-3db9-4340-bffd-d68aa5eea278 · outbound

This paper cites Quantum gen- erative adversarial networks: Bridging classical and quantum realms,.

Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study Quantum gen- erative adversarial networks: Bridging classical and quantum realms,

Reference 16

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Observation 82b206f0-47f8-4bf2-adc2-2baff9d2c6ed · outbound

This paper cites Quantum machine learning for image classification,.

Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study Quantum machine learning for image classification,

Reference 17

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Observation 6871d5f3-42d0-44b6-ae4b-f56c7143cdeb · outbound

This paper cites Quantum convolutional neural networks,.

Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study Quantum convolutional neural networks,

Reference 18

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Observation 18bcdac8-fdfa-40d4-b39b-1c4fa778799e · outbound

This paper cites Analysis of quan- tum image representations for supervised classification,.

Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study Analysis of quan- tum image representations for supervised classification,

Reference 19

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Observation 168324bc-d12a-4d3e-8f44-be92d323afeb · outbound

This paper cites Image Classification Based on Quantum KNN Algorithm.

Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study Image Classification Based on Quantum KNN Algorithm

Reference 20

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Observation b51a8dae-3646-4a30-8d6e-300092389526 · outbound

This paper cites Gradient-based learning applied to document recognition,.

Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study Gradient-based learning applied to document recognition,

Reference 21

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Observation d536f4ff-0b06-4054-a573-e0be4312686e · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library,.

Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study Pytorch: An imperative style, high-performance deep learning library,

Reference 22

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Observation 204162de-45b3-478e-87f5-edd8b1f13514 · outbound

This paper cites Pennylane: Automatic differ- entiation of hybrid quantum-classical computations,.

Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study Pennylane: Automatic differ- entiation of hybrid quantum-classical computations,

Reference 23

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Observation 5077f9e6-f58e-4410-83ae-fec3a313436d · outbound

This paper cites pandas-dev/pandas: Pandas,.

Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study pandas-dev/pandas: Pandas,

Reference 24

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Observation 16d52d50-6d01-466a-a726-5a8e1be1676f · outbound

This paper cites Array program- ming with NumPy,.

Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study Array program- ming with NumPy,

Reference 25

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Observation 54ce33f7-6fa3-46b9-9cb3-f46dd3f7d15c · outbound

This paper cites Matplotlib: A 2d graphics environment,.

Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study Matplotlib: A 2d graphics environment,

Reference 26

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Observation 06ec5127-69ce-45e1-84a5-04f372c0d4f7 · outbound

This paper cites Scikit-learn: Machine learning in Python,.

Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study Scikit-learn: Machine learning in Python,

Reference 27

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source=pdf_text observed=2026-08-02T13:00:00.302915Z digest=sha256:fc0adde928421fbfe54d3b4e68522003b80a3d9ed69aa72f43bc1018c85c9e98

Pith citing papers

Observation 897b182c-5974-4209-b5ab-95e5bcfff825 · inbound

Quantum-Resilient Decentralized AI Economies: Proof-of-Useful-Work and Post-Quantum Security cites this paper.

Quantum-Resilient Decentralized AI Economies: Proof-of-Useful-Work and Post-Quantum Security Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study

Reference 39

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local_arxiv, observed 2026-07-04T11:49:50.892755Z

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

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