Paper Citation Record · LEDGER

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2502.01146.

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

pith.paper-citation-record.v1
2502.01146 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:31:29.008522Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation bf5f9a13-e5dc-4f56-82c5-4212c2d848ae · inbound

LCQNN: Linear Combination of Quantum Neural Networks cites this paper.

LCQNN: Linear Combination of Quantum Neural Networks Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T20:31:29.008522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b82f579a-1b57-43c0-903e-f3e3309e60c1 · inbound

Q-Detection: A Quantum-Classical Hybrid Poisoning Attack Detection Method cites this paper.

Q-Detection: A Quantum-Classical Hybrid Poisoning Attack Detection Method Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-06T19:33:13.430459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12e053a4-c416-49e9-aee6-b5ab8db62b5f · inbound

Hybrid Quantum Convolutional Neural Network-Aided Pilot Assignment in Cell-Free Massive MIMO Systems cites this paper.

Hybrid Quantum Convolutional Neural Network-Aided Pilot Assignment in Cell-Free Massive MIMO Systems Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T19:04:52.805413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e05e237-4f7b-431d-bffc-a4ebf7d88ba3 · inbound

Demonstration of Efficient Predictive Surrogates for Large-scale Quantum Processors cites this paper.

Demonstration of Efficient Predictive Surrogates for Large-scale Quantum Processors Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T14:59:03.020560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0e62cbf-64cb-4963-b9a2-3d0f0b2f7f43 · inbound

Artificial intelligence for representing and characterizing quantum systems cites this paper.

Artificial intelligence for representing and characterizing quantum systems Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-05T05:50:39.018728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a1e0952-2bf7-41dc-98ca-9a71cf96bfcf · inbound

Accelerating Inference for Multilayer Neural Networks with Quantum Computers cites this paper.

Accelerating Inference for Multilayer Neural Networks with Quantum Computers Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-21T21:00:38.252125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8922a20b-341d-4329-aa85-e811570d3b5a · inbound

A review of quantum machine learning and quantum-inspired applied methods to computational fluid dynamics cites this paper.

A review of quantum machine learning and quantum-inspired applied methods to computational fluid dynamics Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:42:26.516651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation afe94aaf-7096-4846-8c31-6f3e07fb01ab · inbound

Pulsed learning for quantum data re-uploading models cites this paper.

Pulsed learning for quantum data re-uploading models Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T17:08:57.511387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01d936b7-9326-406f-a950-790130034930 · inbound

Overcoming Barren Plateaus in Variational Quantum Circuits using a Two-Step Least Squares Approach cites this paper.

Overcoming Barren Plateaus in Variational Quantum Circuits using a Two-Step Least Squares Approach Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T08:12:37.598276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2104a724-99b7-40c7-b47f-f372f53d5bd2 · inbound

HQF-Net: A Hybrid Quantum-Classical Multi-Scale Fusion Network for Remote Sensing Image Segmentation cites this paper.

HQF-Net: A Hybrid Quantum-Classical Multi-Scale Fusion Network for Remote Sensing Image Segmentation Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:15:57.283725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b38026fa-8d5a-4362-96d0-a521835f9c71 · inbound

Exponential quantum advantage in processing massive classical data cites this paper.

Exponential quantum advantage in processing massive classical data Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:26:00.307268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e07e24ba-12fc-4e10-84c1-6d9295fe9a81 · inbound

QShield: Securing Neural Networks Against Adversarial Attacks using Quantum Circuits cites this paper.

QShield: Securing Neural Networks Against Adversarial Attacks using Quantum Circuits Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T08:40:57.790965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9217ec58-dbd0-427b-93e7-172d71112314 · inbound

QShield: Securing Neural Networks Against Adversarial Attacks using Quantum Circuits cites this paper.

QShield: Securing Neural Networks Against Adversarial Attacks using Quantum Circuits Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T05:31:09.815936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22b0d01d-85e3-42ab-b3ce-2bad5ebf2551 · inbound

A Specialized Importance-Aware Quantum Convolutional Neural Network with Ring-Topology (IA-QCNN) for MGMT Promoter Methylation Prediction in Glioblastoma cites this paper.

A Specialized Importance-Aware Quantum Convolutional Neural Network with Ring-Topology (IA-QCNN) for MGMT Promoter Methylation Prediction in Glioblastoma Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers

Reference 83

Resolution: verified exact; arxiv_id, observed 2026-05-08T21:39:22.983291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 890ae3e6-9c85-46d0-a9b9-449ca83d09bf · inbound

HQ-UNet: A Hybrid Quantum-Classical U-Net with a Quantum Bottleneck for Remote Sensing Image Segmentation cites this paper.

HQ-UNet: A Hybrid Quantum-Classical U-Net with a Quantum Bottleneck for Remote Sensing Image Segmentation Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:01:28.167209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6a564649-2475-4f15-8eae-ff0870856f09 · inbound

Quantum Algorithm for Distributed Reduction of Entanglements (QADR): A Trainable and Simulation-Efficient QML Framework cites this paper.

Quantum Algorithm for Distributed Reduction of Entanglements (QADR): A Trainable and Simulation-Efficient QML Framework Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers

Reference 146

Resolution: verified exact; arxiv_id, observed 2026-06-28T16:52:23.864340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.