Paper Citation Record · LEDGER

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications

As of 14 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2505.24765.

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

pith.paper-citation-record.v1
2505.24765 v5

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:15:59.260762Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

40 of 40 outbound references displayed

verified exact5
verified fuzzy21
unresolved14
parse uncertain0
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External citation measurements

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Outbound references

Observation 244bc4c1-24d0-494f-80cf-d46a634d6223 · outbound

This paper cites Quantum machine learning: A review and case studies,.

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications Quantum machine learning: A review and case studies,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:04.059168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d0d69290-aea7-4315-9809-4c9142565d84 · outbound

This paper cites Quantum machine learning: from physics to software engineering,.

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications Quantum machine learning: from physics to software engineering,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:03.916275Z

Source-reported events for the cited work

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Observation e6a2baf1-7f52-4b5b-9f06-9fb6a7e6fca5 · outbound

This paper cites Power of data in quantum machine learning,.

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications Power of data in quantum machine learning,

Reference 3

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Source-reported events for the cited work

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Observation 9c95bc56-1e48-4785-be38-2a87927328f9 · outbound

This paper cites Overcoming the coherence time barrier in quantum machine learning on temporal data,.

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications Overcoming the coherence time barrier in quantum machine learning on temporal data,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:03.777955Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d1dd5cc7-1fea-4cdb-b37b-dd5dfdfd2534 · outbound

This paper cites Mitigating noise in digital and digital–analog quantum computation,.

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications Mitigating noise in digital and digital–analog quantum computation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:03.641935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a7154703-ddef-438c-8649-71fe510e1f83 · outbound

This paper cites Quantum advantage in learning from experiments,.

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications Quantum advantage in learning from experiments,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:03.451225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1822987d-b2ca-4422-8219-0564f11b2743 · outbound

This paper cites Exponential quantum advantages in learning quantum observables from classical data.

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications Exponential quantum advantages in learning quantum observables from classical data

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T12:15:57.134798Z

Source-reported events for the cited work

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Observation 50cab991-3a15-46a9-b16a-f047f787b566 · outbound

This paper cites Trustworthy and reliable computing using untrusted and unreliable quantum hardware,.

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications Trustworthy and reliable computing using untrusted and unreliable quantum hardware,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:03.316117Z

Source-reported events for the cited work

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Observation d8d7c54a-5964-489e-a224-82ab6167013a · outbound

This paper cites When federated learning meets quantum computing: Survey and research opportunities,.

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications When federated learning meets quantum computing: Survey and research opportunities,

Reference 9

Resolution: verified exact; raw_fallback, observed 2026-08-07T12:16:00.664266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation eb5c2eef-40aa-4179-92ed-70a622da9ec4 · outbound

This paper cites A comparative analysis of hybrid-quantum classical neural networks,.

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications A comparative analysis of hybrid-quantum classical neural networks,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T12:15:57.318442Z

Source-reported events for the cited work

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Observation b28011ff-e19b-4569-997c-b48859943312 · outbound

This paper cites Machine learning on quantum experimental data toward solving quantum many-body problems,.

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications Machine learning on quantum experimental data toward solving quantum many-body problems,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:03.122529Z

Source-reported events for the cited work

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Observation 656655a0-0e01-4c2b-a4b2-75d2f8afdb58 · outbound

This paper cites Physics-informed bayesian optimization of variational quantum circuits,.

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications Physics-informed bayesian optimization of variational quantum circuits,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:02.894634Z

Source-reported events for the cited work

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Observation 269ac936-3d3e-42dd-8566-903b04df064f · outbound

This paper cites A framework for demonstrating practical quantum advantage: comparing quantum against classical generative models,.

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications A framework for demonstrating practical quantum advantage: comparing quantum against classical generative models,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:02.754259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ef6fd25b-e030-4ff0-9b7d-fa0886060d79 · outbound

This paper cites Exponential con- centration in quantum kernel methods,.

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications Exponential con- centration in quantum kernel methods,

Reference 14

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Source-reported events for the cited work

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Observation 1575d8f8-35a0-4bcc-b5ee-1caf0157f29d · outbound

This paper cites Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity.

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:15:59.558508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2247765e-a817-4b6b-aa95-1b9e50590961 · outbound

This paper cites Quantum kernel methods under scrutiny: a benchmarking study,.

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications Quantum kernel methods under scrutiny: a benchmarking study,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:02.561408Z

Source-reported events for the cited work

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Observation 047d1f51-34e3-4a29-89de-b1f4367a0019 · outbound

This paper cites Quantum data encoding: a comparative analysis of classical-to-quantum mapping techniques and their impact on machine learning accuracy,.

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications Quantum data encoding: a comparative analysis of classical-to-quantum mapping techniques and their impact on machine learning accuracy,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:02.432807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9961ecf5-5f0b-4b31-aa2a-f61fc753be8b · outbound

This paper cites Paving the way to hybrid quantum–classical scientific workflows,.

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications Paving the way to hybrid quantum–classical scientific workflows,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:02.304356Z

Source-reported events for the cited work

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Observation 9f62c5c6-a87d-4ab8-8dff-1a6d95c7861b · outbound

This paper cites Noisy intermediate-scale quantum algorithms,.

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications Noisy intermediate-scale quantum algorithms,

Reference 19

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Source-reported events for the cited work

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Observation 4a999666-41b4-4cf7-ae14-5340387041e0 · outbound

This paper cites Generalization in quantum machine learning from few training data,.

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications Generalization in quantum machine learning from few training data,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:02.168851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5a736731-9b15-4dd0-a588-5461b3959745 · outbound

This paper cites Regressions on quantum neural networks at maximal expres- sivity,.

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications Regressions on quantum neural networks at maximal expres- sivity,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:01.975874Z

Source-reported events for the cited work

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Observation 8031bd0f-3521-4a9d-ad35-19deee8c622c · outbound

This paper cites A study on optimization techniques for variational quantum circuits in reinforcement learning,.

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications A study on optimization techniques for variational quantum circuits in reinforcement learning,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:01.843728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5e7a9737-4f7d-4567-ba9b-082b8b9a9c58 · outbound

This paper cites Quantum Phases Classification Using Quantum Machine Learning with SHAP-Driven Feature Selection.

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications Quantum Phases Classification Using Quantum Machine Learning with SHAP-Driven Feature Selection

Reference 23

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Source-reported events for the cited work

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Observation 6a955210-cef5-4402-a7e0-a422c5b607c1 · outbound

This paper cites Data re-uploading in Quantum Machine Learning for time series: application to traffic forecasting.

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications Data re-uploading in Quantum Machine Learning for time series: application to traffic forecasting

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T12:15:58.158194Z

Source-reported events for the cited work

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Observation 84ebb6b8-1e19-44a0-b495-d9b9b0a30af8 · outbound

This paper cites Regression and Classification with Single-Qubit Quantum Neural Networks.

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications Regression and Classification with Single-Qubit Quantum Neural Networks

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:16:00.205253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ad230dff-45db-4640-a7d1-17e609b9fc90 · outbound

This paper cites Hybrid quantum-classical machine learning: A survey,.

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications Hybrid quantum-classical machine learning: A survey,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:01.718913Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d398bc4b-c1bc-4eed-a831-a5c347e3be9f · outbound

This paper cites Quantum Natural Language Processing.

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications Quantum Natural Language Processing

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:15:59.990405Z

Source-reported events for the cited work

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Observation 6550edcc-998a-4098-901a-c0dec4323acb · outbound

This paper cites Beyond Barren Plateaus: Quantum Variational Algorithms Are Swamped With Traps.

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications Beyond Barren Plateaus: Quantum Variational Algorithms Are Swamped With Traps

Reference 29

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Source-reported events for the cited work

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Observation c2ed27f8-428a-476d-9d16-e8293f28d3db · outbound

This paper cites Variational quantum algorithms,.

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications Variational quantum algorithms,

Reference 30

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Source-reported events for the cited work

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Observation 050a5d1c-627b-4c83-bea1-c03c86298eb0 · outbound

This paper cites Modelling and simulating the noisy behaviour of near-term quantum computers,.

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications Modelling and simulating the noisy behaviour of near-term quantum computers,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:01.514202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2fef4bd9-456d-451f-9049-08a24e138606 · outbound

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

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications Barren plateaus in quantum neural network training landscapes,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:01.363388Z

Source-reported events for the cited work

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Observation 4220bf45-8b6a-42c1-afe4-a93aa7efd1e8 · outbound

This paper cites Towards understanding the power of quantum kernels in the NISQ era.

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications Towards understanding the power of quantum kernels in the NISQ era

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:15:59.795271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 196a9018-60a0-401e-b371-373f88778a5f · outbound

This paper cites QDataset: Quantum Datasets for Machine Learning.

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications QDataset: Quantum Datasets for Machine Learning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T12:15:58.715587Z

Source-reported events for the cited work

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Observation f97d78d4-0b6d-4782-b1d3-88a86eb6564c · outbound

This paper cites Information-theoretic bounds on quantum advantage in machine learning,.

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications Information-theoretic bounds on quantum advantage in machine learning,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T12:15:58.772155Z

Source-reported events for the cited work

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Observation 8a6122f7-2132-4ecf-a7c7-f6cdb87269d2 · outbound

This paper cites Quantum machine learning: a classical perspective,.

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications Quantum machine learning: a classical perspective,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:01.204670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5e88948d-d7e4-4dc2-af6e-804d3cc5bea9 · outbound

This paper cites Quantum delegated and federated learning via quantum homomorphic encryption,.

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications Quantum delegated and federated learning via quantum homomorphic encryption,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T12:15:58.990598Z

Source-reported events for the cited work

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Observation 2338072f-cf5d-412c-8449-50a94a157bc7 · outbound

This paper cites A quantum federated learning framework for classical clients,.

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications A quantum federated learning framework for classical clients,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:01.067355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2b2bb2c4-2b60-4486-9471-3d6ff18a9f13 · outbound

This paper cites Federated Learning with Quantum Secure Aggregation.

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications Federated Learning with Quantum Secure Aggregation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T12:15:59.159920Z

Source-reported events for the cited work

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Observation ae2ccfc7-06db-42a7-9e57-555d77b7adda · outbound

This paper cites Quantum machine learning with differential privacy,.

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications Quantum machine learning with differential privacy,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:00.875341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f93c5d6a-b35f-494d-8950-261b6cc7d0d0 · outbound

This paper cites A comprehensive review of Quantum Machine Learning: from NISQ to Fault Tolerance.

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications A comprehensive review of Quantum Machine Learning: from NISQ to Fault Tolerance

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T12:15:58.327227Z

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Pith citing papers

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