Paper Citation Record · LEDGER

Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks

As of 10 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2605.23324.

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

pith.paper-citation-record.v1
2605.23324 v3

Coverage vector

measured 29 of 29 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-02T13:23:40.253549Z

measured 29 of 29 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

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measured 0 of 1 external citation measurements

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Reference resolution

29 of 29 outbound references displayed

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Outbound references

Observation 9da9c2d3-d021-49e8-82c6-c675db1fd02f · outbound

This paper cites Artificial intelligence of digital morphology analyzers improves the efficiency of manual leukocyte differentiation of peripheral blood,.

Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks Artificial intelligence of digital morphology analyzers improves the efficiency of manual leukocyte differentiation of peripheral blood,

Reference 1

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Observation ed28eab2-0617-4261-b258-d7159b362f34 · outbound

This paper cites From microscope to micropixels: A rapid review of artificial intelligence for the peripheral blood film,.

Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks From microscope to micropixels: A rapid review of artificial intelligence for the peripheral blood film,

Reference 2

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Observation c24c613d-15c3-4f7b-8e5d-5344b1ddf3a5 · outbound

This paper cites Classification of white blood cells using machine and deep learning models: A systematic review,.

Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks Classification of white blood cells using machine and deep learning models: A systematic review,

Reference 3

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Observation 2550c20a-cd1a-4528-91dd-a4733d2380c3 · outbound

This paper cites Classification of white blood cell using convolution neural network,.

Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks Classification of white blood cell using convolution neural network,

Reference 4

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Observation 0efa5835-5e63-41ba-9097-e67e3fdb7696 · outbound

This paper cites White blood cell classification using multi-attention data augmentation and regularization,.

Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks White blood cell classification using multi-attention data augmentation and regularization,

Reference 5

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Observation 9a6b09fa-bfa4-4b14-942d-12d07552d89d · outbound

This paper cites An explainable ai-based blood cell classification using optimized convolutional neural network,.

Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks An explainable ai-based blood cell classification using optimized convolutional neural network,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T13:23:37.668075Z

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Observation 98e0e8d4-cfae-48c5-ae01-fcf271cabc16 · outbound

This paper cites White blood cell classification using custom deep neural network and visualizing features of the images using heatmaps,.

Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks White blood cell classification using custom deep neural network and visualizing features of the images using heatmaps,

Reference 7

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Observation 79900254-2614-4be0-b792-3439748a3c03 · outbound

This paper cites Recogni- tion of peripheral blood cell images using convolutional neural networks,.

Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks Recogni- tion of peripheral blood cell images using convolutional neural networks,

Reference 8

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Observation 29496bb2-9260-4a5a-8ad0-c0688cefbf45 · outbound

This paper cites Quantum machine learning in medical image analysis: A survey,.

Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks Quantum machine learning in medical image analysis: A survey,

Reference 9

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Observation 0e67975d-b37e-4e3c-a221-5e6041740a71 · outbound

This paper cites Quantum circuit learning,.

Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks Quantum circuit learning,

Reference 10

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Observation d3f674a0-c9b2-4f51-97dd-e77eb8e9b059 · outbound

This paper cites Circuit-centric quantum classifiers,.

Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks Circuit-centric quantum classifiers,

Reference 11

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Observation df2ed758-9f7d-4b57-a46e-2953ef2b5930 · outbound

This paper cites Variational quantum algorithms,.

Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks Variational quantum algorithms,

Reference 12

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Observation 7021943f-2306-4ced-a185-c632f3be0c27 · outbound

This paper cites Hybrid quantum-classical convolutional neural networks,.

Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks Hybrid quantum-classical convolutional neural networks,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T13:23:38.550633Z

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Observation 92555878-2cc5-4f94-b2b5-7427220af3e9 · outbound

This paper cites Hybrid quantum-classical-quantum convolutional neural networks,.

Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks Hybrid quantum-classical-quantum convolutional neural networks,

Reference 14

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Observation 0ea4a7f8-630c-467d-aa68-5cc43803cc44 · outbound

This paper cites FedQNN: Federated Learning using Quantum Neural Networks.

Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks FedQNN: Federated Learning using Quantum Neural Networks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T13:23:38.773758Z

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Observation 16951895-0f1a-45fe-a421-2c38cd79a058 · outbound

This paper cites Analyzing images of blood cells with quantum machine learning methods: Equilibrium propagation and variational quantum circuits to detect acute myeloid leukemia,.

Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks Analyzing images of blood cells with quantum machine learning methods: Equilibrium propagation and variational quantum circuits to detect acute myeloid leukemia,

Reference 16

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Observation b9b7f845-de57-43b2-b610-ec5be6110f6d · outbound

This paper cites Automated microscopic image analysis for leukocytes identification: A survey,.

Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks Automated microscopic image analysis for leukocytes identification: A survey,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T13:23:38.973655Z

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Observation 91706836-7f69-42a4-bfd3-468792d75eb8 · outbound

This paper cites Automatic recognition of five types of white blood cells in peripheral blood,.

Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks Automatic recognition of five types of white blood cells in peripheral blood,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T13:23:39.066319Z

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Observation 0c04339a-798c-4c2b-9d3e-3ba22dd0dfd4 · outbound

This paper cites The best texture features for leukocytes recognition,.

Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks The best texture features for leukocytes recognition,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T13:23:39.131645Z

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Observation 4d9f3b44-310b-4e5c-bd75-aa7cb6ef7e7d · outbound

This paper cites Automatic white blood cell classification using pre-trained deep learning models: Resnet and inception,.

Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks Automatic white blood cell classification using pre-trained deep learning models: Resnet and inception,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T13:23:39.252506Z

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Observation 25dbff70-0335-44ea-81ef-28a026686127 · outbound

This paper cites Accurate classification of white blood cells by coupling pre-trained resnet and densenet with scam mechanism,.

Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks Accurate classification of white blood cells by coupling pre-trained resnet and densenet with scam mechanism,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T13:23:39.465117Z

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Observation 47f407a5-4c7c-4a90-a61b-89ffa197c188 · outbound

This paper cites A large dataset of white blood cells containing cell locations and types, along with segmented nuclei and cytoplasm,.

Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks A large dataset of white blood cells containing cell locations and types, along with segmented nuclei and cytoplasm,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T13:23:39.651934Z

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Observation 70eb842c-d239-4201-8d61-e384bc15abaa · outbound

This paper cites Hybrid quantum-classical neural networks,.

Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks Hybrid quantum-classical neural networks,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T13:23:39.774924Z

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Observation 25caabdd-696b-47e8-a496-13fa6b64bf01 · outbound

This paper cites Quantum machine learning for image classification,.

Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks Quantum machine learning for image classification,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T13:23:39.845721Z

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Observation 86e534a6-c703-4e28-a29d-605297ff3095 · outbound

This paper cites A novel image classification framework based on variational quantum algorithms,.

Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks A novel image classification framework based on variational quantum algorithms,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T13:23:39.925544Z

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Observation 303b922c-6f58-4666-87c1-ef670edd4079 · outbound

This paper cites Computational advantage in hybrid quantum neural networks: Myth or reality?.

Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks Computational advantage in hybrid quantum neural networks: Myth or reality?

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T13:23:39.977104Z

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Observation 9d97f7ec-980b-45f6-a707-62d474175aae · outbound

This paper cites Bccd dataset: Blood cell count and detection,.

Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks Bccd dataset: Blood cell count and detection,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T13:23:40.070853Z

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Observation 32e81dfa-c518-4ca7-9f0c-0ad00a4330bf · outbound

This paper cites Blood cell images dataset,.

Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks Blood cell images dataset,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T13:23:40.156931Z

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Observation 242c486a-843a-49c1-881e-334bfdd8cfcc · outbound

This paper cites Noisy intermediate- scale quantum algorithms,.

Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks Noisy intermediate- scale quantum algorithms,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T13:23:40.253549Z

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