Paper Citation Record · LEDGER

SupResDiffGAN a new approach for the Super-Resolution task

As of 22 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2504.13622.

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

pith.paper-citation-record.v1
2504.13622 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:07:32.546886Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

44 of 44 outbound references displayed

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verified fuzzy23
unresolved19
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External citation measurements

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Outbound references

Observation 0edf645e-6920-42bc-8872-2ae6d561f00f · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition workshops.

SupResDiffGAN a new approach for the Super-Resolution task In: Proceedings of the IEEE conference on computer vision and pattern recognition workshops

Reference 1

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Observation 9cf099be-7cd6-4710-9882-94fe71bbd5f6 · outbound

This paper cites In: International conference on machine learning.

SupResDiffGAN a new approach for the Super-Resolution task In: International conference on machine learning

Reference 2

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Observation 945e0058-4248-405a-aa62-15dea7ac92f6 · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

SupResDiffGAN a new approach for the Super-Resolution task In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 3

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Observation ec9f9a28-e675-47b8-a044-d85ed9afaac7 · outbound

This paper cites In: 2009 IEEE conference on computer vision and pattern recognition.

SupResDiffGAN a new approach for the Super-Resolution task In: 2009 IEEE conference on computer vision and pattern recognition

Reference 4

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Observation 95c4531c-e771-4f72-b65a-f9a9447101f1 · outbound

This paper cites Advances in neural information processing systems 34, 8780–8794 (2021).

SupResDiffGAN a new approach for the Super-Resolution task Advances in neural information processing systems 34, 8780–8794 (2021)

Reference 5

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Observation f24e085c-0069-4514-abdd-bdda0db74ff1 · outbound

This paper cites (No Title) (2014) 14 D.

SupResDiffGAN a new approach for the Super-Resolution task (No Title) (2014) 14 D

Reference 6

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Observation 498c93df-0f12-4a10-9f93-c8fc0890c367 · outbound

This paper cites IEEE transactions on pattern analysis and machine intelligence 38(2), 295–307 (2015).

SupResDiffGAN a new approach for the Super-Resolution task IEEE transactions on pattern analysis and machine intelligence 38(2), 295–307 (2015)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:07:32.962193Z

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Observation ac72a30e-b9e6-4fba-af32-79746811ab40 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

SupResDiffGAN a new approach for the Super-Resolution task In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 8

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Observation cbb33d90-613b-4c9a-8c74-cc1357845462 · outbound

This paper cites Advances in neural information processing systems 33, 6840–6851 (2020).

SupResDiffGAN a new approach for the Super-Resolution task Advances in neural information processing systems 33, 6840–6851 (2020)

Reference 9

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This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

SupResDiffGAN a new approach for the Super-Resolution task In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:07:32.934118Z

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Observation e45a95ca-1e34-4af6-aa5f-a2d81fd7ee3a · outbound

This paper cites In: proceedings of the IEEE/CVF conference on computer vision and pattern recognition workshops.

SupResDiffGAN a new approach for the Super-Resolution task In: proceedings of the IEEE/CVF conference on computer vision and pattern recognition workshops

Reference 11

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Observation eaa9f0b0-0bad-431d-8a36-80c1b9c4908e · outbound

This paper cites Progressive Growing of GANs for Improved Quality, Stability, and Variation.

SupResDiffGAN a new approach for the Super-Resolution task Progressive Growing of GANs for Improved Quality, Stability, and Variation

Reference 12

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Observation b950ff1c-8262-4c11-aa51-6a0d589a6eb1 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

SupResDiffGAN a new approach for the Super-Resolution task In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 13

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Observation 9a2c481d-2d70-4eea-944c-c50b306e9f74 · outbound

This paper cites Does Diffusion Beat GAN in Image Super Resolution?.

SupResDiffGAN a new approach for the Super-Resolution task Does Diffusion Beat GAN in Image Super Resolution?

Reference 14

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Observation 261dab32-09b3-4d95-8d30-085b1d9539e4 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

SupResDiffGAN a new approach for the Super-Resolution task In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 15

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Observation 4c7a84d6-bb76-4ffa-b1e7-509476f146ad · outbound

This paper cites IEEE Access 7, 136496–136510 (2019).

SupResDiffGAN a new approach for the Super-Resolution task IEEE Access 7, 136496–136510 (2019)

Reference 16

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Observation 53e1e5c0-51a3-4726-9948-9633a64c5921 · outbound

This paper cites Neurocomputing 479, 47–59 (2022).

SupResDiffGAN a new approach for the Super-Resolution task Neurocomputing 479, 47–59 (2022)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:07:32.886949Z

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Observation bcf6a322-24de-4586-b0d7-d5c21e5deab5 · outbound

This paper cites OmniSSR: Zero-shot Omnidirectional Image Super-Resolution using Stable Diffusion Model.

SupResDiffGAN a new approach for the Super-Resolution task OmniSSR: Zero-shot Omnidirectional Image Super-Resolution using Stable Diffusion Model

Reference 18

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Observation 8196b3f3-99fd-46f1-90a7-291614683b89 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition workshops.

SupResDiffGAN a new approach for the Super-Resolution task In: Proceedings of the IEEE conference on computer vision and pattern recognition workshops

Reference 19

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Observation 48a441d0-baad-4423-a232-43855a1ff0b9 · outbound

This paper cites I$^2$SB: Image-to-Image Schr\"odinger Bridge.

SupResDiffGAN a new approach for the Super-Resolution task I$^2$SB: Image-to-Image Schr\"odinger Bridge

Reference 20

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Observation 004fe500-5190-4b28-ad8f-4b61a0466c22 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

SupResDiffGAN a new approach for the Super-Resolution task In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:07:32.869448Z

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Observation ec1165c3-1c49-4a1b-b371-5ee30ccc7d28 · outbound

This paper cites DifAugGAN: A Practical Diffusion-style Data Augmentation for GAN-based Single Image Super-resolution.

SupResDiffGAN a new approach for the Super-Resolution task DifAugGAN: A Practical Diffusion-style Data Augmentation for GAN-based Single Image Super-resolution

Reference 22

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Observation 4f4b5787-53f6-4653-964c-830cf4c696ab · outbound

This paper cites In: ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

SupResDiffGAN a new approach for the Super-Resolution task In: ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:07:32.859138Z

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Observation 7f11b776-0370-4e43-a0e9-73d7ecceeec2 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

SupResDiffGAN a new approach for the Super-Resolution task In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 24

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Observation 4e21be75-cfa5-4fc2-8cda-ecdaf77d48da · outbound

This paper cites Denoising Diffusion Probabilistic Models for Robust Image Super-Resolution in the Wild.

SupResDiffGAN a new approach for the Super-Resolution task Denoising Diffusion Probabilistic Models for Robust Image Super-Resolution in the Wild

Reference 25

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Observation 75b7c90f-98e8-40aa-aecf-c407ebc27761 · outbound

This paper cites IEEE transactions on pattern analysis and machine intelligence 45(4), 4713–4726 (2022).

SupResDiffGAN a new approach for the Super-Resolution task IEEE transactions on pattern analysis and machine intelligence 45(4), 4713–4726 (2022)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:07:32.840648Z

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This paper cites Denoising Diffusion Implicit Models.

SupResDiffGAN a new approach for the Super-Resolution task Denoising Diffusion Implicit Models

Reference 27

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This paper cites IEEE Access (2024).

SupResDiffGAN a new approach for the Super-Resolution task IEEE Access (2024)

Reference 28

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Observation 00f8e9df-a0ce-4f16-bd7e-711da62fb23e · outbound

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SupResDiffGAN a new approach for the Super-Resolution task International Journal of Computer Vision pp

Reference 29

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This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

SupResDiffGAN a new approach for the Super-Resolution task In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 30

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This paper cites In: Proceedings of the European conference on computer vision (ECCV) workshops.

SupResDiffGAN a new approach for the Super-Resolution task In: Proceedings of the European conference on computer vision (ECCV) workshops

Reference 31

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This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

SupResDiffGAN a new approach for the Super-Resolution task In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:07:32.782080Z

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Observation d42dc357-23ce-4cc4-b7f7-53d054870dfa · outbound

This paper cites Diffusion-GAN: Training GANs with Diffusion.

SupResDiffGAN a new approach for the Super-Resolution task Diffusion-GAN: Training GANs with Diffusion

Reference 33

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Observation 447890ce-b325-41de-8625-71946975e692 · outbound

This paper cites IEEE transactions on image processing 13(4), 600–612 (2004).

SupResDiffGAN a new approach for the Super-Resolution task IEEE transactions on image processing 13(4), 600–612 (2004)

Reference 34

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Observation 8a360c80-593f-4c96-89d0-ecb356061d3f · outbound

This paper cites Zooming Out on Zooming In: Advancing Super-Resolution for Remote Sensing.

SupResDiffGAN a new approach for the Super-Resolution task Zooming Out on Zooming In: Advancing Super-Resolution for Remote Sensing

Reference 35

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This paper cites Scientific Reports 14(1), 4272 (2024).

SupResDiffGAN a new approach for the Super-Resolution task Scientific Reports 14(1), 4272 (2024)

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:07:32.763132Z

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Observation dee5fa20-2c37-44d4-a8fc-6c30e35a5e3d · outbound

This paper cites Tackling the Generative Learning Trilemma with Denoising Diffusion GANs.

SupResDiffGAN a new approach for the Super-Resolution task Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 37

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This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

SupResDiffGAN a new approach for the Super-Resolution task In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:07:32.751905Z

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Observation 25681903-5382-4406-8bb7-eda2d383cc7b · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

SupResDiffGAN a new approach for the Super-Resolution task In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:07:32.742060Z

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This paper cites Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylization.

SupResDiffGAN a new approach for the Super-Resolution task Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylization

Reference 40

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Observation ac4df3c8-d5dc-4019-ae9b-d4b84efc4a98 · outbound

This paper cites Advances in Neural Information Processing Systems 36 (2024).

SupResDiffGAN a new approach for the Super-Resolution task Advances in Neural Information Processing Systems 36 (2024)

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:07:32.729803Z

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Observation e085b651-5e5d-4164-b3f4-4146d1363ec3 · outbound

This paper cites In: Curves and Surfaces: 7th International Conference, Avignon, France, June 24-30, 2010, Revised Selected Papers 7.

SupResDiffGAN a new approach for the Super-Resolution task In: Curves and Surfaces: 7th International Conference, Avignon, France, June 24-30, 2010, Revised Selected Papers 7

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:07:32.716985Z

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This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

SupResDiffGAN a new approach for the Super-Resolution task In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:07:32.705610Z

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Observation 381369a1-1f82-4ec8-833f-51067c5627f5 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

SupResDiffGAN a new approach for the Super-Resolution task In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 44

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Pith citing papers

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