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Paper Citation Record · LEDGER

Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model

As of 19 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2505.13152.

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

pith.paper-citation-record.v1
2505.13152 v1

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measured 53 of 53 reference resolution

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measured 53 of 53 standing notices

One-hop event checks from named stored sources.

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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

Reference resolution

53 of 53 outbound references displayed

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External citation measurements

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Outbound references

Observation aba5e162-3662-42f4-becb-dfc95c7cbff5 · outbound

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

Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 1

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This paper cites In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (July 2017).

Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (July 2017)

Reference 2

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This paper cites Variational image compression with a scale hyperprior.

Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model Variational image compression with a scale hyperprior

Reference 3

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This paper cites Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise.

Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise

Reference 4

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Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model Unresolved cited work

Reference 5

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Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model ITU SG16 Doc

Reference 6

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

Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 7

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

Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 8

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This paper cites Advances in Neural Information Processing Systems 35, 25683–25696 (2022).

Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model Advances in Neural Information Processing Systems 35, 25683–25696 (2022)

Reference 9

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Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model Unresolved cited work

Reference 10

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Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model Unresolved cited work

Reference 11

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This paper cites Diffusion Models Beat GANs on Image Synthesis.

Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model Diffusion Models Beat GANs on Image Synthesis

Reference 12

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Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model Unresolved cited work

Reference 13

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

Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 14

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

Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model In: Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 15

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This paper cites Advances in neural information processing systems30 (2017) 16 J.

Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model Advances in neural information processing systems30 (2017) 16 J

Reference 16

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This paper cites Denoising Diffusion Probabilistic Models.

Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model Denoising Diffusion Probabilistic Models

Reference 17

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This paper cites High-Fidelity Image Compression with Score-based Generative Models.

Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model High-Fidelity Image Compression with Score-based Generative Models

Reference 18

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Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model Autoregressive Diffusion Models

Reference 19

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Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 20

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Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model Denoising Diffusion Restoration Models

Reference 21

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Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model Unresolved cited work

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Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model Extreme Video Compression with Pre-trained Diffusion Models

Reference 23

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This paper cites Advances in Neural Information Processing Systems34, 18114–18125 (2021).

Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model Advances in Neural Information Processing Systems34, 18114–18125 (2021)

Reference 24

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Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model In: Pro- ceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recogni- tion

Reference 25

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Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 26

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Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model In: European Conference on Computer Vision

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Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model High-Fidelity Generative Image Compression

Reference 28

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Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model In: Proceedings of the 11th ACM Multimedia Systems Conference

Reference 29

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Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model Unresolved cited work

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Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model Unresolved cited work

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Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model Unresolved cited work

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Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model 2022 ieee

Reference 33

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Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model Unresolved cited work

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Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model In: ACM SIGGRAPH 2022 Confer- ence Proceedings

Reference 35

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Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model IEEE transactions on pattern analysis and ma- chine intelligence 45(4), 4713–4726 (2022)

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation acb74c1d-2879-48de-b33a-8690737849f1 · outbound

This paper cites In: International Conference on Learning Representations (2021) Image compression with a latent conditioned residual diffusion model 17.

Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model In: International Conference on Learning Representations (2021) Image compression with a latent conditioned residual diffusion model 17

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:23:52.289938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:23:49.682676Z digest=sha256:15d27d74939539c827db9341b764dfb0f8aa905f205f778fd7765c710e6e9f55

Observation bcc67b19-9879-4ce7-b410-b3df0de1915f · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T20:23:49.704544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:23:49.704544Z digest=sha256:cae9ab157bcb88c7694940f4f481f103d9f489cc5598066a25a3d5e56de332b2

Observation 508f96ee-7984-4f3e-9d9b-1d3f6eed8a07 · outbound

This paper cites Denoising Diffusion Implicit Models.

Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model Denoising Diffusion Implicit Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-15T20:23:49.829189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:23:49.829189Z digest=sha256:a0e20a761166700cca05cbe6c8eb9d8bede5bb38dfaf76b8eff28aaabfb4cf3a

Observation 8b6e14bb-3e80-44f7-a075-01ce95266094 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model Score-Based Generative Modeling through Stochastic Differential Equations

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T20:23:49.864468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:23:49.864468Z digest=sha256:55b4cb71fd05c832d670ac38aa3158c98455696ceaab3a37a32b8d3f91bb70f3

Observation 6c50868d-7c53-4fed-bab7-0fd0e79d88dc · outbound

This paper cites an unresolved cited work.

Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:23:52.164976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:23:49.878637Z digest=sha256:91d406dff3c2d6940a7f8673e27fd1663bba1dea4c1750c3b4fb406937905454

Observation 9d944f59-a476-4b77-931c-e22fbe447524 · outbound

This paper cites Communications of the ACM 34(4), 30–44 (1991).

Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model Communications of the ACM 34(4), 30–44 (1991)

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T20:23:49.889651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:23:49.889651Z digest=sha256:0324b9f9c4dbaaecc0a9f6201f429744903008ae5512f265982f9497ee24c17d

Observation ba7c535f-5fe0-4e53-a2ae-f8d7db8f9a2d · outbound

This paper cites In: The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003.

Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model In: The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-15T20:23:49.903015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:23:49.903015Z digest=sha256:d978bedd8e42cc9ee5711a9521b4e70f7caa9ee0a8cd34c1b50d200ee423ceae

Observation 2560770c-6211-4b2b-87f3-21fd4292879e · outbound

This paper cites an unresolved cited work.

Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:23:52.010465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:23:50.012384Z digest=sha256:1e56cd33b326c92457e27fd210fb36bdf6ecbfcd8f4ce8b4a0fba87f93c9b059

Observation 74d687e9-bd0a-4d2a-a3b0-b8d9aa1e529a · outbound

This paper cites International Journal of Computer Vision127, 1106–1125 (2019).

Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model International Journal of Computer Vision127, 1106–1125 (2019)

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-15T20:23:50.046046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:23:50.046046Z digest=sha256:fb930ae3f8480ff5f303303a6d0b109a3e99b53433c69baa187e8e210c59267b

Observation 7f74494d-edfd-4f12-8b56-2d8731f2d96c · outbound

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

Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:23:51.882781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:23:50.061923Z digest=sha256:221901e897ef14a711bf157a1883542395b65916f331679a336770e8b12e77b8

Observation 92b43806-57c6-41fd-84a8-d7db3c46033c · outbound

This paper cites IEEE Transactions on Circuits and Systems for Video Technology 33(5), 2410–2423 (2022).

Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model IEEE Transactions on Circuits and Systems for Video Technology 33(5), 2410–2423 (2022)

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:23:51.759332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:23:50.076009Z digest=sha256:93d690e64c2ce2d41f606a23b862e9ecee887a1020c6de2cd2622eaee2330482

Observation e3156293-d695-4cb6-a576-b57624626412 · outbound

This paper cites In: IJCAI.

Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model In: IJCAI

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:23:51.588966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:23:50.089178Z digest=sha256:1d671ea4e04a3798b1502e07f9ad7ebc89ccd42191277f3bf67548b762d91daf

Observation 9ccf4ae8-fb45-4966-93e9-11dd2da4b440 · outbound

This paper cites Advances in Neural Information Processing Systems36 (2024).

Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model Advances in Neural Information Processing Systems36 (2024)

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:23:51.530772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:23:50.101731Z digest=sha256:ce273b5937b0e7172204a3b90b3d0f8cf8c99d6a906983e0d7145ab285bd5b21

Observation 21a5ba57-2865-44e0-b527-653a09187789 · outbound

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

Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-15T20:23:50.118200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:23:50.118200Z digest=sha256:b64f788ca376dc3b849135c7c8f7439775890638d5562554d4e20ffc96a87087

Observation 033e9771-b0f1-44ee-a2bd-b7e4bbb48d73 · outbound

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

Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:23:51.287367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:23:50.209884Z digest=sha256:a0020070fc23cbb2ec07c6a464a6051f80af95571e01d24844bb63dac17087d6

Observation f83b3287-9d3a-4b34-b9e3-c96ccc1b88b1 · outbound

This paper cites CaDM: Codec-aware Diffusion Modeling for Neural-enhanced Video Streaming.

Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model CaDM: Codec-aware Diffusion Modeling for Neural-enhanced Video Streaming

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-15T20:23:50.238725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:23:50.238725Z digest=sha256:deab605123a29285824210aca7d8092e577861b44085716a47f56dfb6ca004d4

Observation fc9cdc7a-2ca1-456a-8f54-e0f8d8d2126c · outbound

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

Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:23:51.243755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:23:50.249200Z digest=sha256:1e98bbfb6838c9a56c8358f234f99d3eb7f1f1dc85113045420bcec2a81ff899

Pith citing papers

No inbound Pith citation observations are available.