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Paper Citation Record · LEDGER

A Controlled Benchmark of Quantum-Latent GAN Augmentation for Brain MRI

As of 18 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2606.18970.

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

pith.paper-citation-record.v1
2606.18970 v2

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T21:30:29.390793Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

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23 of 23 outbound references displayed

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Outbound references

Observation 08702d6b-511c-4980-8b76-863d128fe663 · outbound

This paper cites Brain tumor recognition from mri using deep learning with data balancing methods and its explainability with ai,.

A Controlled Benchmark of Quantum-Latent GAN Augmentation for Brain MRI Brain tumor recognition from mri using deep learning with data balancing methods and its explainability with ai,

Reference 1

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Observation 4f5aa109-6955-4d37-a0ec-ebb3cc28a8ee · outbound

This paper cites Medgan: An adaptive gan approach for medical image generation,.

A Controlled Benchmark of Quantum-Latent GAN Augmentation for Brain MRI Medgan: An adaptive gan approach for medical image generation,

Reference 2

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Observation de59e803-8f9a-4f02-bedf-3910b13ae8f5 · outbound

This paper cites The use of generative adversarial networks in medical image augmentation,.

A Controlled Benchmark of Quantum-Latent GAN Augmentation for Brain MRI The use of generative adversarial networks in medical image augmentation,

Reference 3

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Observation 50d6cffa-c3eb-427d-ae3a-260abf52129e · outbound

This paper cites Latent Style-based Quantum GAN for high-quality Image Generation.

A Controlled Benchmark of Quantum-Latent GAN Augmentation for Brain MRI Latent Style-based Quantum GAN for high-quality Image Generation

Reference 4

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Observation 6ce9620f-ab2f-457a-a322-bb38742f230f · outbound

This paper cites Hybridquantum– classical generative adversarial network for high-resolution image gener- ation,.

A Controlled Benchmark of Quantum-Latent GAN Augmentation for Brain MRI Hybridquantum– classical generative adversarial network for high-resolution image gener- ation,

Reference 5

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Observation bedaa8d9-2c3a-42f4-b21b-7d765209c2ec · outbound

This paper cites Hi- erarchical amortized gan for 3d high resolution medical image synthe- sis,.

A Controlled Benchmark of Quantum-Latent GAN Augmentation for Brain MRI Hi- erarchical amortized gan for 3d high resolution medical image synthe- sis,

Reference 6

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Observation e5da40d6-6eeb-438e-9036-e4cba30feae1 · outbound

This paper cites U-patch gan: A medical image fusion method based on gan,.

A Controlled Benchmark of Quantum-Latent GAN Augmentation for Brain MRI U-patch gan: A medical image fusion method based on gan,

Reference 7

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Observation 778f8aa6-9995-495f-a058-864ee6200d17 · outbound

This paper cites Image enhancement for accelerated mri using a joint gan and diffusion model framework,.

A Controlled Benchmark of Quantum-Latent GAN Augmentation for Brain MRI Image enhancement for accelerated mri using a joint gan and diffusion model framework,

Reference 8

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Observation eb234ca0-ce0b-41fd-8e55-adb951e009ba · outbound

This paper cites A multimodal comparison of latent denoising diffusion probabilistic mod- els and generative adversarial networks for medical image synthesis,.

A Controlled Benchmark of Quantum-Latent GAN Augmentation for Brain MRI A multimodal comparison of latent denoising diffusion probabilistic mod- els and generative adversarial networks for medical image synthesis,

Reference 9

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Observation 611ae907-6a1a-445d-9b17-23fa7c410c5f · outbound

This paper cites A survey of recent advances in quantum generative adversarial networks,.

A Controlled Benchmark of Quantum-Latent GAN Augmentation for Brain MRI A survey of recent advances in quantum generative adversarial networks,

Reference 10

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Observation 3a0cf217-a908-43f0-a460-4de74b3599f2 · outbound

This paper cites Barren plateaus in variational quantum computing,.

A Controlled Benchmark of Quantum-Latent GAN Augmentation for Brain MRI Barren plateaus in variational quantum computing,

Reference 11

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Observation b72c5b2d-2bfd-499b-a93d-8fb34898e884 · outbound

This paper cites Quan- tum generative learning for high-resolution medical image generation,.

A Controlled Benchmark of Quantum-Latent GAN Augmentation for Brain MRI Quan- tum generative learning for high-resolution medical image generation,

Reference 12

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Observation 31abd521-d6fe-4d2a-b8de-71f9d82e4b4a · outbound

This paper cites A quantum-classical gan approach for highfidelity brain mri resolution enhancement,.

A Controlled Benchmark of Quantum-Latent GAN Augmentation for Brain MRI A quantum-classical gan approach for highfidelity brain mri resolution enhancement,

Reference 13

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Observation b5d1b91b-a231-4425-9882-9a3b0cfdb244 · outbound

This paper cites Image denoising using quantum deep convolutional generative adversarial network for medical images,.

A Controlled Benchmark of Quantum-Latent GAN Augmentation for Brain MRI Image denoising using quantum deep convolutional generative adversarial network for medical images,

Reference 14

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Observation be6896dc-2896-4d5c-b993-4164e4c2ccd5 · outbound

This paper cites Fusion-aware quantum variational autoencoder for brain-heart signal modeling in mental health applications,.

A Controlled Benchmark of Quantum-Latent GAN Augmentation for Brain MRI Fusion-aware quantum variational autoencoder for brain-heart signal modeling in mental health applications,

Reference 15

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Observation 03f8ab34-f44a-4bcd-b5f0-b65d18692f84 · outbound

This paper cites Flwgan: Fed- erated learning with wasserstein generative adversarial network for brain tumor segmentation,.

A Controlled Benchmark of Quantum-Latent GAN Augmentation for Brain MRI Flwgan: Fed- erated learning with wasserstein generative adversarial network for brain tumor segmentation,

Reference 16

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Observation 3cb8b7e9-3303-470b-b076-454512d689f5 · outbound

This paper cites A novel conditional wasserstein deep convolu- tional generative adversarial network,.

A Controlled Benchmark of Quantum-Latent GAN Augmentation for Brain MRI A novel conditional wasserstein deep convolu- tional generative adversarial network,

Reference 17

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Observation 3216aadc-2de8-43b7-a292-33f0186c9d22 · outbound

This paper cites Hybrid quantum-classical machine learning with penny- lane: Acomprehensiveguideforcomputationalresearch,.

A Controlled Benchmark of Quantum-Latent GAN Augmentation for Brain MRI Hybrid quantum-classical machine learning with penny- lane: Acomprehensiveguideforcomputationalresearch,

Reference 18

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Source-reported events for the cited work

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Observation afbc5635-8ffe-4af4-b4a7-f9aaf0e1f673 · outbound

This paper cites Resnet and its application to medical imageprocessing: Researchprogressandchallenges,.

A Controlled Benchmark of Quantum-Latent GAN Augmentation for Brain MRI Resnet and its application to medical imageprocessing: Researchprogressandchallenges,

Reference 19

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Observation ae14604e-0343-4638-a060-678d77a84b43 · outbound

This paper cites Feature extraction for generative medical imaging evaluation: New evidence against an evolving trend,.

A Controlled Benchmark of Quantum-Latent GAN Augmentation for Brain MRI Feature extraction for generative medical imaging evaluation: New evidence against an evolving trend,

Reference 20

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Observation a610e97e-409f-404e-8a0e-c7ef1d15945d · outbound

This paper cites Theoretical foundations of t-sne for visualiz- ing high-dimensional clustered data,.

A Controlled Benchmark of Quantum-Latent GAN Augmentation for Brain MRI Theoretical foundations of t-sne for visualiz- ing high-dimensional clustered data,

Reference 21

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Observation d8097ef3-15d5-4c05-a9df-214b67f3dbab · outbound

This paper cites Brain tumor mri dataset (glioma meningioma pituitary no tumor),.

A Controlled Benchmark of Quantum-Latent GAN Augmentation for Brain MRI Brain tumor mri dataset (glioma meningioma pituitary no tumor),

Reference 22

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Observation ce42f795-eb53-499c-87d9-fb5dcb62445f · outbound

This paper cites Quantum- classical-quantum workflow in quantum-hpc middleware with gpu ac- celeration,.

A Controlled Benchmark of Quantum-Latent GAN Augmentation for Brain MRI Quantum- classical-quantum workflow in quantum-hpc middleware with gpu ac- celeration,

Reference 23

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