Paper Citation Record · LEDGER

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution

As of 17 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2505.20984.

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

pith.paper-citation-record.v1
2505.20984 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:49:27.427031Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T16:05:02.363658Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T09:21:01.321046Z

Reference resolution

48 of 48 outbound references displayed

verified exact0
verified fuzzy31
unresolved16
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cdea182e-7c30-413d-9dac-84f6d54e313a · outbound

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

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:49:32.902242Z

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Observation 81a8ad03-e94d-4e25-bf3e-39e781e77aad · outbound

This paper cites In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (July 2017) 7, 8.

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (July 2017) 7, 8

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:49:32.707085Z

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Observation bbacfc96-19d0-4f71-ad2c-41ee84f7ed8a · outbound

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

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:49:32.577546Z

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Observation 93fb3d4e-e6cf-4d18-aef7-dfc6f21067c7 · outbound

This paper cites End-to-end Optimized Image Compression.

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution End-to-end Optimized Image Compression

Reference 4

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Observation dd30a365-54f6-4a4b-af34-9a1f859bd77c · outbound

This paper cites Variational image compression with a scale hyperprior.

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution Variational image compression with a scale hyperprior

Reference 5

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Source-reported events for the cited work

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Observation b9028a0a-b6b8-41b7-a2d2-fd1f710f06f5 · outbound

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Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:49:32.436894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d6c3a9fc-5e7b-455d-8abd-c1586bc8616b · outbound

This paper cites Demystifying MMD GANs.

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution Demystifying MMD GANs

Reference 7

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Source-reported events for the cited work

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Observation 6dc49134-15da-4dbb-867a-f2781435818e · outbound

This paper cites In: The Twelfth International Conference on Learning Representations (2023) 1, 4.

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution In: The Twelfth International Conference on Learning Representations (2023) 1, 4

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:49:32.288550Z

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Observation b749e448-e2e2-42fc-aa00-6304543d6555 · outbound

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

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:49:32.106144Z

Source-reported events for the cited work

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Observation acd18cef-e90a-41b1-b7bc-086fe53cb2d4 · outbound

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

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:49:31.970887Z

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Observation 07ff640a-ba3d-498c-b091-294f53f231e5 · outbound

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

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:49:31.748274Z

Source-reported events for the cited work

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Observation 5da8321a-684c-4305-83dc-dc03836678fa · outbound

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

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution In: 2009 IEEE conference on computer vision and pattern recognition

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:49:31.593394Z

Source-reported events for the cited work

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Observation 4e1c7725-5356-44ed-aebe-bf305f3d880b · outbound

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

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:49:31.450195Z

Source-reported events for the cited work

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Observation bcf344b8-a6f4-424e-adff-d31f54633da5 · outbound

This paper cites Advances in neural information processing systems 27 (2014) 1.

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution Advances in neural information processing systems 27 (2014) 1

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:49:31.258718Z

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Observation 8e279560-701c-4454-b84d-c8016cb73462 · outbound

This paper cites Causal Context Adjustment Loss for Learned Image Compression.

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution Causal Context Adjustment Loss for Learned Image Compression

Reference 15

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Observation 07eb8de6-71fa-4a0b-92ca-a17b2c2c869a · outbound

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

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:49:31.126858Z

Source-reported events for the cited work

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Observation c587891e-ff12-43e8-b96d-95e23942d5d3 · outbound

This paper cites Advances in neural information processing systems 30 (2017) 8 10.

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution Advances in neural information processing systems 30 (2017) 8 10

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:49:30.993708Z

Source-reported events for the cited work

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Observation 1f1b7a4a-405c-4de8-8714-86be721c2cac · outbound

This paper cites Advances in neural information processing systems 33, 6840–6851 (2020) 1.

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution Advances in neural information processing systems 33, 6840–6851 (2020) 1

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:49:30.884678Z

Source-reported events for the cited work

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Observation 3e1eed39-f7b7-4de1-9a09-82615103a33c · outbound

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

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution High-Fidelity Image Compression with Score-based Generative Models

Reference 19

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Observation 4cbbafdd-de08-44cc-8a24-42a54eaae799 · outbound

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

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:49:30.731947Z

Source-reported events for the cited work

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Observation 5377c986-1be4-4399-9ddf-ebb42c32b63b · outbound

This paper cites Advances in neural information processing systems35, 26565–26577 (2022) 4, 5, 6, 7.

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution Advances in neural information processing systems35, 26565–26577 (2022) 4, 5, 6, 7

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:49:30.560116Z

Source-reported events for the cited work

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Observation 3421bbcf-b00c-45d1-aa4c-7f647983aee8 · outbound

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

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:49:30.435559Z

Source-reported events for the cited work

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Observation bc5bc4e5-c5ff-4ae1-b702-f7e6b3d68470 · outbound

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Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution Unresolved cited work

Reference 23

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Observation 9e23f9a8-0fb8-492b-a00d-ff9866fd1db3 · outbound

This paper cites International journal of computer vision 128(7), 1956–1981 (2020) 7.

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution International journal of computer vision 128(7), 1956–1981 (2020) 7

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:49:30.141890Z

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Observation d80929f9-0ce7-4269-b544-18e305c3987b · outbound

This paper cites Text + Sketch: Image Compression at Ultra Low Rates.

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution Text + Sketch: Image Compression at Ultra Low Rates

Reference 25

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Observation ec630404-5307-4f47-8df7-e0c6f463f694 · outbound

This paper cites Once-for-All: Controllable Generative Image Compression with Dynamic Granularity Adaptation.

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution Once-for-All: Controllable Generative Image Compression with Dynamic Granularity Adaptation

Reference 26

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Observation dd554545-f97e-4137-9ba2-e747248e22d3 · outbound

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

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:49:29.980600Z

Source-reported events for the cited work

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Observation 1ad17c92-0d66-47dc-847e-ab142dffcd22 · outbound

This paper cites Decoupled Weight Decay Regularization.

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution Decoupled Weight Decay Regularization

Reference 28

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Observation ef38b0f8-b739-4454-b4eb-bec9d5f6aa6f · outbound

This paper cites Learned Image Compression with Dictionary-based Entropy Model.

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution Learned Image Compression with Dictionary-based Entropy Model

Reference 29

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Observation 372b54f3-caf5-4cf7-ae76-7fe5fd222ddd · outbound

This paper cites In: 2024 Data Compression Conference (DCC).

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution In: 2024 Data Compression Conference (DCC)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:49:29.769138Z

Source-reported events for the cited work

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Observation c466d563-e13e-4285-ac1b-286f33fdcdf5 · outbound

This paper cites Advances in neural information processing systems 33, 11913–11924 (2020) 1, 4, 8, 9, 13.

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution Advances in neural information processing systems 33, 11913–11924 (2020) 1, 4, 8, 9, 13

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:49:29.638700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5752dd8a-b3e9-400d-ace9-6dd058598295 · outbound

This paper cites Advances in neural information processing systems 31 (2018) 1.

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution Advances in neural information processing systems 31 (2018) 1

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:49:29.492754Z

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Observation e19d63f5-19fd-4cd5-ae8c-0af0cc166d96 · outbound

This paper cites In: 2020 IEEE International Conference on Image Processing (ICIP).

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution In: 2020 IEEE International Conference on Image Processing (ICIP)

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:49:29.333359Z

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Observation b1dda476-2519-4d87-8047-5725c8374d44 · outbound

This paper cites In: International Conference on Machine Learning.

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution In: International Conference on Machine Learning

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:49:29.177920Z

Source-reported events for the cited work

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Observation ffad8f32-6626-43b2-866a-11c604285fb4 · outbound

This paper cites Entroformer: A Transformer-based Entropy Model for Learned Image Compression.

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution Entroformer: A Transformer-based Entropy Model for Learned Image Compression

Reference 35

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Observation d8c73b1f-d107-439f-9c91-2d6f10f8b074 · outbound

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

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:49:29.011969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e87ce1a9-25c4-4726-bbae-080aa7243fc2 · outbound

This paper cites The Bell system technical journal 27(3), 379–423 (1948) 3.

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution The Bell system technical journal 27(3), 379–423 (1948) 3

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:49:28.865145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 321690ed-3cc2-4b9c-975e-fae6c615a96c · outbound

This paper cites Denoising Diffusion Implicit Models.

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution Denoising Diffusion Implicit Models

Reference 38

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Source-reported events for the cited work

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Observation 4b48b5f8-416e-4dea-b747-1db353762c88 · outbound

This paper cites Advances in neural information processing systems 32 (2019) 1, 2, 3, 4, 5.

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution Advances in neural information processing systems 32 (2019) 1, 2, 3, 4, 5

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:49:28.706794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3c34c410-92b0-4fde-ad9d-07da96bd3eb5 · outbound

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

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution Score-Based Generative Modeling through Stochastic Differential Equations

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T13:49:26.838300Z

Source-reported events for the cited work

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Observation 6f00be52-9a85-4282-820a-b9d168af6878 · outbound

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Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:49:28.555866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6bbfa44d-c1d1-44a7-9e7d-f1e44735e591 · outbound

This paper cites Variable Rate Image Compression with Recurrent Neural Networks.

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution Variable Rate Image Compression with Recurrent Neural Networks

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T13:49:26.992760Z

Source-reported events for the cited work

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Observation e8a0d405-669f-4caf-9ee2-1b8546e6e5a1 · outbound

This paper cites In: CVPR (2020) 7.

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution In: CVPR (2020) 7

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:49:28.411485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c300788b-f087-45ff-a990-1ad478eab626 · outbound

This paper cites Advances in neural information processing systems 31 (2018) 1.

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution Advances in neural information processing systems 31 (2018) 1

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:49:28.292516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e6101daf-661e-48c8-85c8-b49f5f2c1c7b · outbound

This paper cites EVC: Towards Real-Time Neural Image Compression with Mask Decay.

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution EVC: Towards Real-Time Neural Image Compression with Mask Decay

Reference 45

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e517b2a8-f337-4529-832b-0182e15357ea · outbound

This paper cites In: Proceedings of the AAAI conference on artificial intelligence.

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution In: Proceedings of the AAAI conference on artificial intelligence

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:49:28.146848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e8852c49-c11d-48b5-a93c-42321f4d398b · outbound

This paper cites Advances in Neural Information Processing Systems 36, 64971–64995 (2023) 1, 4, 8, 9, 13.

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution Advances in Neural Information Processing Systems 36, 64971–64995 (2023) 1, 4, 8, 9, 13

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:49:28.003126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2005fe63-3d20-4ce7-8e79-6cd9fd514ddb · outbound

This paper cites method [bpp].

Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution method [bpp]

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:49:27.815406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation 50d30a82-6d18-42de-890e-20b40dec91f1 · inbound

Differentiable Vector Quantization for Rate-Distortion Optimization of Generative Image Compression cites this paper.

Differentiable Vector Quantization for Rate-Distortion Optimization of Generative Image Compression Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:21:01.323123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.