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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

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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

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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

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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

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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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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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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

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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

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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

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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.

source=pdf_text observed=2026-08-15T20:23:49.672329Z digest=sha256:ef5515982af96552d9fb69de62eb729a1e2d219ff0a8359f9c66af7f2c922c78

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=sha256:28a7f8ff4b572dc7554196dfa4f86411ac93da5687d9bb9d2ecefa42a0dc9d95

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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:d8439cc52a9bb79af6ef3edf04860b035a860aa1ac68fdcbcdb625484105ce18

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=sha256:2109985aae37cb794b2bfd7d7db492c31efc9ac432f2ec17a0d61ec217dfe23d

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=sha256:2daafb766350c5f929fae3148d5c6f58d1ef56b2e78471812a2fba401eb6b71b

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=sha256:5087be482f7a17c11a19d1482fa8bec7c31a90730dfebeebd633d14f511e6725

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:fd7ed6774d0c4b78e9abd2f6829f3b9e397838b00182a62147e76cc90782dcbe

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=sha256:9eb8f516f926bd2d16844142d576c9c71511b37b9ea09c65d3cbb3c5aa309150

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:a77dbfea04ab0dd031fda3339457b1dbe3a3be918a13db2a3e0cdccab12ff0f7

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:b991d929ba8f2f215a627fb7a160a9760edef63adc45971eb871d2700ced2005

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:da425f4db85a1ec4ba26569c3f175db0e5ee0f54ff8cba915af24ae6f5d3fd7a

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=sha256:7fbcb1de3b5199d067a4e05b0da13da85681bc52520fb0f41054a59a77fc850d

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=sha256:5b2760b3777d7dc9d4ae7bfad914226a9ce11fb0b41056701087c5823f2ebdc3

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=sha256:49513d7bb13b73ecbb20fb3d61c6ceb8c859666c7f674d62b4b07e8e4fc2a500

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=sha256:27f4c73f31c3bee0de1fe27ad4c9eb02cfea3cd7f9cdbf29b5e64db37259cde5

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:df1f658587bf07e46f0bd6a262250c3502b2ea4b7a09766d1af6dd77da1b233a

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:b5d8f93dbb33abd45d5083ff58790b06f01d62ab30b17f7bafedf4b7a2ccda17

Pith citing papers

No inbound Pith citation observations are available.