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Paper Citation Record · LEDGER

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression

As of 19 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 1 inbound Pith citation observation for arXiv:2505.16177.

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

pith.paper-citation-record.v1
2505.16177 v1

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:08:56.956640Z

measured 72 of 72 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:34:33.959396Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T17:34:38.613469Z

Reference resolution

71 of 71 outbound references displayed

  • verified exact2
  • verified fuzzy34
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 846d26d3-8776-4a6d-9b42-f92c439080a8 · outbound

This paper cites The jpeg still picture compression standard,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression The jpeg still picture compression standard,

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 121d27cd-b1ab-49d3-aedc-080102d5153f · outbound

This paper cites Overview of the versatile video coding (vvc) standard and its applications,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Overview of the versatile video coding (vvc) standard and its applications,

Reference 2

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no resolver link, observed 2026-08-07T15:08:48.142153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b717abe2-714a-4d36-a4f9-2edf66cc36fc · outbound

This paper cites Variational image compression with a scale hyperprior,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Variational image compression with a scale hyperprior,

Reference 3

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Unavailable: canonical work link unavailable.

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Observation a761407f-333f-44ba-a5f2-2aab12c3aa63 · outbound

This paper cites Learned image com- pression with discretized gaussian mixture likelihoods and attention modules,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Learned image com- pression with discretized gaussian mixture likelihoods and attention modules,

Reference 4

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 5f3e8b28-3664-4747-bfaa-a552532bb6ec · outbound

This paper cites Causal contextual prediction for learned image compression,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Causal contextual prediction for learned image compression,

Reference 5

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 452520a9-5ab6-4f32-a284-45e9144140fc · outbound

This paper cites Evc: Towards real-time neural image compression with mask decay,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Evc: Towards real-time neural image compression with mask decay,

Reference 6

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 0040239d-3b20-46db-82c3-02c9cf30e8b3 · outbound

This paper cites Learned image compression with mixed transformer-cnn architectures,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Learned image compression with mixed transformer-cnn architectures,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e6925f7a-d9e4-4771-8a7d-edd03e04c8ae · outbound

This paper cites Fvc: A new framework towards deep video compression in feature space,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Fvc: A new framework towards deep video compression in feature space,

Reference 8

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation fd5082d1-07c7-4b62-818a-b7b07d181f99 · outbound

This paper cites Deep contextual video compression,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Deep contextual video compression,

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f329a9f7-3c73-4441-bf22-cef741d28c31 · outbound

This paper cites Maskcrt: Masked conditional residual transformer for learned video compression,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Maskcrt: Masked conditional residual transformer for learned video compression,

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-07T15:09:04.348326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 3d984aa9-b25f-4b34-9f2f-36d742c82b34 · outbound

This paper cites Dmvc: Decomposed motion modeling for learned video compression,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Dmvc: Decomposed motion modeling for learned video compression,

Reference 11

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 1ebd21f0-f38e-4d8e-aa24-d8ee31d349e3 · outbound

This paper cites End-to-end optimized image compression,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression End-to-end optimized image compression,

Reference 12

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 02972678-25f8-42a3-8fff-19f6ddec5c4b · outbound

This paper cites Improving statistical fidelity for neural image compression with im- plicit local likelihood models,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Improving statistical fidelity for neural image compression with im- plicit local likelihood models,

Reference 13

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 8da3098e-8ede-4cf2-9a3a-fc4312da8523 · outbound

This paper cites Perceptual losses for real-time style transfer and super-resolution,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Perceptual losses for real-time style transfer and super-resolution,

Reference 14

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unresolved
no resolver link, observed 2026-08-07T15:08:49.697644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5b5aac43-3941-4be8-baa9-d98088ccff0d · outbound

This paper cites Generative adversarial nets,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Generative adversarial nets,

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2fcb7ae9-dc57-4918-a7b2-39c93c8e1872 · outbound

This paper cites Image quality assessment: Unifying structure and texture similarity,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Image quality assessment: Unifying structure and texture similarity,

Reference 16

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no resolver link, observed 2026-08-07T15:08:49.978671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:08:49.978671Z digest=sha256:35111e211aefea0bbb98dd9212594f236538b8d086e3f842223e1fbb75e7faa1

Observation 4abc3fa7-e2d5-41fe-9d51-ac4a6349f9d8 · outbound

This paper cites Neural discrete representation learning,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Neural discrete representation learning,

Reference 17

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no resolver link, observed 2026-08-07T15:08:50.179888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8375a5e6-9a14-4464-8492-cacc4eccb44c · outbound

This paper cites Taming transformers for high- resolution image synthesis,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Taming transformers for high- resolution image synthesis,

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation afa9c602-9e45-4f24-a1a8-b35af08c5272 · outbound

This paper cites Adaptive human-centric video com- pression for humans and machines,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Adaptive human-centric video com- pression for humans and machines,

Reference 19

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 9d9bc612-565b-49a8-a87b-d359378c5dab · outbound

This paper cites Extreme Image Compression using Fine-tuned VQGANs.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Extreme Image Compression using Fine-tuned VQGANs

Reference 20

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verified exact
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Source-reported events for the cited work

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Observation 73854e0a-0790-4e9d-bd85-f78975e05ff7 · outbound

This paper cites Towards robust blind face restoration with codebook lookup transformer,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Towards robust blind face restoration with codebook lookup transformer,

Reference 21

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 3d73fc3d-d4b5-442b-ad7e-ae1d7e645059 · outbound

This paper cites Clic 2020: Challenge on learned image compression, 2020,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Clic 2020: Challenge on learned image compression, 2020,

Reference 22

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 48cf8d54-4b4f-474e-97c4-4d782f01ef3e · outbound

This paper cites Perceptual learned video compression with recurrent conditional gan.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Perceptual learned video compression with recurrent conditional gan

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ae42be04-360c-4a0e-9ddb-91b3cc292855 · outbound

This paper cites Neural video compression with feature modulation,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Neural video compression with feature modulation,

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b1b262e3-4cca-4ae2-a695-bf775feb3bf3 · outbound

This paper cites Generative latent coding for ultra-low bitrate image compression,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Generative latent coding for ultra-low bitrate image compression,

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:08:51.229422Z digest=sha256:b2fc07b145c5215b75d79c9fd5928bfcfee55114ebf9d86d7f7cd12fa3248874

Observation fc266282-7367-4230-a71c-6b6d84f8dcb6 · outbound

This paper cites Towards extreme image compression with latent feature guidance and diffusion prior,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Towards extreme image compression with latent feature guidance and diffusion prior,

Reference 26

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a27bd554-5e1a-451d-af9f-9832d17bd21a · outbound

This paper cites Context-adaptive entropy model for end-to-end optimized image compression,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Context-adaptive entropy model for end-to-end optimized image compression,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:09:02.278365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ac52da0f-6c70-456a-979f-6866f331e7f7 · outbound

This paper cites Neural video compression with diverse contexts,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Neural video compression with diverse contexts,

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-07T15:09:02.005862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation dab8ff52-8d44-452a-a4c8-bdd5e3110049 · outbound

This paper cites A universal optimization framework for learning-based image codec,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression A universal optimization framework for learning-based image codec,

Reference 29

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 873cc7bf-66d6-41d2-9f83-e7a91848b49d · outbound

This paper cites Asymmetric gained deep image compression with continuous rate adaptation,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Asymmetric gained deep image compression with continuous rate adaptation,

Reference 30

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 19472a21-7e68-4f52-ac18-a15a5117134c · outbound

This paper cites Generative adversarial networks for extreme learned image compres- sion,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Generative adversarial networks for extreme learned image compres- sion,

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-07T15:09:01.481188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:08:51.840212Z digest=sha256:e5962cb5f790923f895ae41d79a8c4d5dfb5a4589bf206a90dc1e83b88d290fa

Observation 23384082-5f3e-40c4-a67b-642308001125 · outbound

This paper cites Towards coding for human and machine vision: A scalable image coding approach,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Towards coding for human and machine vision: A scalable image coding approach,

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-07T15:09:01.232513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 30315421-1aea-413f-bbff-adb3fbc89f11 · outbound

This paper cites Text+ sketch: Image compression at ultra low rates,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Text+ sketch: Image compression at ultra low rates,

Reference 33

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation da39a560-bc55-4e8a-bae0-87c1d6b27aee · outbound

This paper cites High- fidelity generative image compression,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression High- fidelity generative image compression,

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:08:52.052388Z digest=sha256:fd0b2fa5150d51ebf8fe1903cb000e4ca3413a4ac3d72b77a5d09e940d20cc02

Observation 5a7a55b9-bbc4-4d39-ac9d-075e01d85cfc · outbound

This paper cites Po-elic: Perception-oriented efficient learned image coding,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Po-elic: Perception-oriented efficient learned image coding,

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-07T15:09:00.873402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:08:52.168618Z digest=sha256:585fe3852b2227a59a1c001f5c4d6279c1e1cf7b16f9184a4c2b7cf75970ac72

Observation 34ba9306-c585-45dc-aef6-b255e45deb58 · outbound

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

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression High-Fidelity Image Compression with Score-based Generative Models

Reference 36

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source=pdf_text observed=2026-08-07T15:08:52.270142Z digest=sha256:403793f9b8e305ab1d3eba08e0c0f90966b2036e68686143da9c8049f7834827

Observation e49925be-176a-4124-8333-dc42f36ae8e0 · outbound

This paper cites Fidelity-controllable extreme image compression with generative adversarial networks,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Fidelity-controllable extreme image compression with generative adversarial networks,

Reference 37

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raw_fallback, observed 2026-08-07T15:09:00.678329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:08:52.382130Z digest=sha256:0f1738441d1282e0c7a57819d873544e27b771f4b3fe2ddf7907ef532f5be4ec

Observation 8614f0dc-cd34-40fb-947b-fea451512213 · outbound

This paper cites Multi-realism image compression with a conditional generator,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Multi-realism image compression with a conditional generator,

Reference 38

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:08:52.540476Z digest=sha256:55e6a36400f851c051dd50b471522573454c6182a4c6a051b307c6351d8b0038

Observation b5a32deb-9248-419b-bc71-aa5cb52bf017 · outbound

This paper cites Extremely low bit-rate image compression via invertible image generation,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Extremely low bit-rate image compression via invertible image generation,

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-07T15:09:00.451377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:08:52.658475Z digest=sha256:aaef9dfd8ca89cc33311ec946cdb35e6bfc4fcfbef1b6538d01a15604ae0f3d4

Observation 6a17dfcc-5bb7-4dee-83c8-a0d57cbddbd0 · outbound

This paper cites Denoising diffusion probabilistic models,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Denoising diffusion probabilistic models,

Reference 40

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no resolver link, observed 2026-08-07T15:08:52.744987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:08:52.744987Z digest=sha256:9365da6d51cafea87837c3ae6ab4fb1cca6f35ab8ef2ee6821c7b76b2ba9d8cb

Observation 7a2d30bf-bfb6-4b60-a253-8edbb257a669 · outbound

This paper cites Towards image compression with perfect realism at ultra-low bitrates,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Towards image compression with perfect realism at ultra-low bitrates,

Reference 41

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no resolver link, observed 2026-08-07T15:08:52.838688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:08:52.838688Z digest=sha256:98e571246792784bfc5c9bae434b77a28f5f3e0268729b4dcc4698ea65b3115a

Observation 64093f19-9f5b-4f82-9480-7a115755b5f1 · outbound

This paper cites Multiscale structural similarity for image quality assessment,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Multiscale structural similarity for image quality assessment,

Reference 42

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:08:53.030806Z digest=sha256:cc94d35df9a69a104cb0bbb87030887ea04a04bbf5533922514dd4e5c7d39dd2

Observation 49198dd1-ff21-457c-89c5-5095aa56579b · outbound

This paper cites Dvc: An end-to-end deep video compression framework,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Dvc: An end-to-end deep video compression framework,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:09:00.274743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:08:53.140765Z digest=sha256:d698604dc77db7ba2a09419a7e54953c0c64b314c0c5a3c1b4f07e2edcb07ca3

Observation d696e5c9-6941-485c-b46a-18d30cd76a51 · outbound

This paper cites An end- to-end learning framework for video compression,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression An end- to-end learning framework for video compression,

Reference 44

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verified fuzzy
raw_fallback, observed 2026-08-07T15:09:00.063201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:08:53.204574Z digest=sha256:7429c34066ebf26cb644e308fbe6b51ed24e8b6411a10b3fbbd9b6dc0b16adef

Observation e292d57b-fcc4-4346-9e25-6882130cd07d · outbound

This paper cites Coarse-to- fine deep video coding with hyperprior-guided mode prediction,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Coarse-to- fine deep video coding with hyperprior-guided mode prediction,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:08:59.911587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:08:53.272099Z digest=sha256:7650e0fef436d74ff5a1451e6dfafd243f3d993a2657f1b449d63493e9e7c47a

Observation 8b44a691-1ba1-4059-a8a2-32860bab2a8f · outbound

This paper cites Uncertainty-Aware Deep Video Compression with Ensembles,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Uncertainty-Aware Deep Video Compression with Ensembles,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:08:59.772995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:08:53.357829Z digest=sha256:f2664747d63b211ab22606e88765fee27191d7ded44f2c80b6715b3cb7c6f52a

Observation 36093a85-12d4-4c28-840b-566fa31d8345 · outbound

This paper cites CANF-VC: Conditional Augmented Normalizing Flows for Video Compression.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression CANF-VC: Conditional Augmented Normalizing Flows for Video Compression

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:08:57.316808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:08:53.437264Z digest=sha256:1ca800e026ec973ff6d4aec59711d461a0ac1afd251b577068d2e78ef6a8cce2

Observation 2206f39f-7cd8-47b1-8670-3391fc42a7b7 · outbound

This paper cites Motion information propagation for neural video compression,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Motion information propagation for neural video compression,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:08:59.655466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:08:53.562464Z digest=sha256:2442982576b8b689e42773cd51196eff3286adb99f5aff8ef6c8b8a9290789fe

Observation f3134832-2429-4500-af72-488b41dbe6d5 · outbound

This paper cites Long-term temporal context gathering for neural video compression,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Long-term temporal context gathering for neural video compression,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:08:59.451184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:08:53.754927Z digest=sha256:92212f1ba490dc79f8cb74509dd8118d0e5d13c6a02291ef97e031763a4295ba

Observation ba6a1b44-9974-455b-88f4-46ab74a2efe9 · outbound

This paper cites Spatial decomposition and temporal fusion based inter prediction for learned video compression,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Spatial decomposition and temporal fusion based inter prediction for learned video compression,

Reference 50

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no resolver link, observed 2026-08-07T15:08:53.940602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:08:53.940602Z digest=sha256:7eee59429d2810cc5b2ba7071e0ab573e488cf227b78d337fec6270d97f3c9bd

Observation 65329536-8dd8-471d-8962-8d40dc762acb · outbound

This paper cites High visual-fidelity learned video compression,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression High visual-fidelity learned video compression,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:08:59.156578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:08:54.046506Z digest=sha256:c93f39108b750ddd0147bb98f9bef918f51d2a0f321eac775e552c60c42ef8df

Observation 7b404ec5-4ef8-48d9-ac29-8080216e79c1 · outbound

This paper cites Variational Lossy Autoencoder.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Variational Lossy Autoencoder

Reference 52

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:08:54.184766Z digest=sha256:a76eb85ca7440c0880fce1777a85901cc9455992c7e70091ce0b28479e8b7e7f

Observation 21e6a509-f432-45c5-8186-843b1b8cfc14 · outbound

This paper cites Pixel recurrent neural networks,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Pixel recurrent neural networks,

Reference 53

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:08:54.314196Z digest=sha256:f3aa8b50bbf89051f471863a07a550279148917c50ce5252b475115ba5a069fa

Observation aa46deb6-c532-4b95-a56e-2df74df5a89d · outbound

This paper cites High- resolution image synthesis with latent diffusion models,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression High- resolution image synthesis with latent diffusion models,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:08:59.000426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:08:54.449700Z digest=sha256:b921311308308362081bfbd6effcf5768687224ebb670e29681f541f74c230c0

Observation 08c9c2ee-7257-44f0-bd1b-417f66bc98be · outbound

This paper cites Hybrid spatial-temporal entropy modelling for neural video compression,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Hybrid spatial-temporal entropy modelling for neural video compression,

Reference 55

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no resolver link, observed 2026-08-07T15:08:54.639126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:08:54.639126Z digest=sha256:38c9c6a6c15dbe51a70b9d93f6788153c0d93c29cce48f6c1608c860de3a1dec

Observation fc517004-04f0-428d-a056-c4108b3ff217 · outbound

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

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 56

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:08:54.744805Z digest=sha256:3319c2ab408e8df165c323becfcb62be86ea4bc855a632c4c628e6ae1c1c9472

Observation ad5363ac-0da6-42f2-9c2d-4537645fa41c · outbound

This paper cites Attention is all you need,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Attention is all you need,

Reference 57

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:08:54.878004Z digest=sha256:2b521293f28a06a98b0295e86b7ecc3a1849f0dc812511643b05f21376ac5c90

Observation e878b327-9db8-4dda-b7b2-a42073f66884 · outbound

This paper cites The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale,

Reference 58

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verified fuzzy
raw_fallback, observed 2026-08-07T15:08:58.772493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:08:55.047696Z digest=sha256:4ccf6ca95c499435713eda33d00f2bf1fba6c3665b89a97c815cf31503939905

Observation 878e6ba0-73ce-42ea-b1e4-dae0272203e5 · outbound

This paper cites Video enhance- ment with task-oriented flow,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Video enhance- ment with task-oriented flow,

Reference 59

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no resolver link, observed 2026-08-07T15:08:55.171852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:08:55.171852Z digest=sha256:149219aee530411cda48a9ff77e0589cf0365a5f717a7aa7e23e59cc25fad39a

Observation 45d3c720-354c-43ee-9e23-b37ceac18fd2 · outbound

This paper cites Fixing weight decay regularization in adam,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Fixing weight decay regularization in adam,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:08:58.579166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:08:55.328460Z digest=sha256:4d368ac14497146088d95718d92bf8a08dd11f89a6b641bc3406cbf381c0f93c

Observation 8ffcf63e-7326-4640-8961-6c1790052086 · outbound

This paper cites an unresolved cited work.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Unresolved cited work

Reference 61

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raw_fallback, observed 2026-08-07T15:08:58.391121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:08:55.526015Z digest=sha256:985c693e6057e649f7fdfd50f727a8bd810c42d5725649929a5c58b42d8b5f4d

Observation 1774148a-7752-47f3-bd30-5d1e41c67365 · outbound

This paper cites Ntire 2017 challenge on single image super-resolution: Dataset and study,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Ntire 2017 challenge on single image super-resolution: Dataset and study,

Reference 62

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:08:55.715672Z digest=sha256:c236307ffa70d339f3c97e3f9fb4e71bdd179d0f0b15e7a6277ed85ca8fe509b

Observation 43ee1915-9535-46b6-88ac-2ce8fb9857d0 · outbound

This paper cites Microsoft coco: Common objects in context,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Microsoft coco: Common objects in context,

Reference 63

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:08:55.886899Z digest=sha256:1cceb21e2c6eeff22dab436c3dedc3a0aa7a0855661d2b24af7a456a21681d46

Observation 78dbe6e8-e453-487b-bc8a-e6a0821b0aaa · outbound

This paper cites Uvg dataset: 50/120fps 4k sequences for video codec analysis and development,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Uvg dataset: 50/120fps 4k sequences for video codec analysis and development,

Reference 64

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verified fuzzy
raw_fallback, observed 2026-08-07T15:08:58.218876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:08:56.042005Z digest=sha256:0c7e141a5767e9311149cd1eb8342b48e7751ed822afdefcb2a96e207464dacb

Observation c0bf163d-faa0-4350-8bf3-3013f46e9940 · outbound

This paper cites Mcl-jcv: a jnd-based h. 264/avc video quality assessment dataset,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Mcl-jcv: a jnd-based h. 264/avc video quality assessment dataset,

Reference 65

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verified fuzzy
raw_fallback, observed 2026-08-07T15:08:57.929448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:08:56.106031Z digest=sha256:5b2e236d23dda3a9626f6be90d6ca29c326939876d4fd552370836aea56dbaf7

Observation 7af9515c-73de-46f6-b3e3-a5697ce72244 · outbound

This paper cites Overview of the high efficiency video coding (hevc) standard,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Overview of the high efficiency video coding (hevc) standard,

Reference 66

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no resolver link, observed 2026-08-07T15:08:56.321312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:08:56.321312Z digest=sha256:a309111d5fbc106cdf5def4fb2589651a53f61ab7ef5ce678c2432aad5e697eb

Observation 42023f56-d38e-41df-9b9f-ed8e15b6b2a1 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Gans trained by a two time-scale update rule converge to a local nash equilibrium,

Reference 67

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no resolver link, observed 2026-08-07T15:08:56.465383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:08:56.465383Z digest=sha256:69a1fae14d2738576ddb5e6e37ee6ce170f238afa065624c941244257f903c65

Observation 8acbe3af-c310-4aea-9b62-3dcdcc095070 · outbound

This paper cites Demystifying MMD GANs.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Demystifying MMD GANs

Reference 68

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no resolver link, observed 2026-08-07T15:08:56.584421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:08:56.584421Z digest=sha256:40215c73ad7e4d76a1ddbdf39ef502495d5855271cf8a8b036f98e48ec7ab641

Observation a4deb90f-eb74-49c7-bfba-18864ee8780d · outbound

This paper cites Calculation of average psnr differences between rd- curves,.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Calculation of average psnr differences between rd- curves,

Reference 69

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unresolved
no resolver link, observed 2026-08-07T15:08:56.731520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:08:56.731520Z digest=sha256:9385b475b1c5ebd60a9492444883dad331987790cad938db2d4488347b6c5d15

Observation 594e2c6b-59ab-47e9-9087-fdc347bf6fe3 · outbound

This paper cites Visualizing data using t-sne.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression Visualizing data using t-sne

Reference 70

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no resolver link, observed 2026-08-07T15:08:56.821927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:08:56.821927Z digest=sha256:c24ebc7e14f7b6d922aac9d6c5524e111121a53d0b6ff3115127aba6acb02ad3

Observation 8f84f640-723f-4a4d-a5f9-a260fd6168ed · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 71

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no resolver link, observed 2026-08-07T15:08:56.956640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:08:56.956640Z digest=sha256:5d25a12bdc5a843c0d796fb2323a1ebd3f5fff0fd88a3b3f0cd24329f4a19320

Pith citing papers

Observation 7b7f79c1-05b2-442f-af6f-c5ddd7a32c75 · inbound

GVCCTurbo: Rate-Compute Quality Scheduling for Codebook Driven Generative Compression cites this paper.

GVCCTurbo: Rate-Compute Quality Scheduling for Codebook Driven Generative Compression Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression

Reference 8

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metadata mismatch
local_arxiv, observed 2026-08-05T17:34:38.645098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T17:34:33.959396Z digest=sha256:54ee4574bce469882a4e6f8b3ea8318db845da75a549e047df58b7a25f45d31e