Paper Citation Record · LEDGER

Compressed Image Generation with Denoising Diffusion Codebook Models

As of 11 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 2 inbound Pith citation observations for arXiv:2502.01189.

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

pith.paper-citation-record.v1
2502.01189 v4

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T16:25:40.155879Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T14:12:31.253468Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:07:36.770207Z

Reference resolution

20 of 20 outbound references displayed

verified exact4
verified fuzzy11
unresolved4
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2f1682b1-2bed-48c0-a09b-873e0108ddc5 · outbound

This paper cites 2 Kang, B., Tripathi, S., and Nguyen, T.

Compressed Image Generation with Denoising Diffusion Codebook Models 2 Kang, B., Tripathi, S., and Nguyen, T

Reference 6

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T16:25:41.386258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 14de13b8-f0a9-4193-bdd0-40fe54ec7653 · outbound

This paper cites 2, 45 Meng, C., He, Y ., Song, Y ., Song, J., Wu, J., Zhu, J.- Y ., and Ermon, S.

Compressed Image Generation with Denoising Diffusion Codebook Models 2, 45 Meng, C., He, Y ., Song, Y ., Song, J., Wu, J., Zhu, J.- Y ., and Ermon, S

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:25:41.495128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7d6194c1-d5e3-4f11-a3b8-4fa31953307b · outbound

This paper cites completely blind.

Compressed Image Generation with Denoising Diffusion Codebook Models completely blind

Reference 9

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T16:25:40.731716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b1199751-9b7b-412f-aae4-958ab501862f · outbound

This paper cites 7 Ohayon, G., Michaeli, T., and Elad, M.

Compressed Image Generation with Denoising Diffusion Codebook Models 7 Ohayon, G., Michaeli, T., and Elad, M

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:25:41.480108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 79576ae9-af9f-4b4e-b273-7647fad22b9e · outbound

This paper cites SILO: Solving Inverse Problems with Latent Operators.

Compressed Image Generation with Denoising Diffusion Codebook Models SILO: Solving Inverse Problems with Latent Operators

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T16:25:40.109393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a47e8a7d-69ab-4352-9e9b-971df48b9a6e · outbound

This paper cites 2 Theis, L., Shi, W., Cunningham, A., and Husz´ar, F.

Compressed Image Generation with Denoising Diffusion Codebook Models 2 Theis, L., Shi, W., Cunningham, A., and Husz´ar, F

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:25:41.449161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 152ac97f-5a7e-4748-bdea-23033e0b5b12 · outbound

This paper cites RDPM: Solve Diffusion Probabilistic Models via Recurrent Token Prediction.

Compressed Image Generation with Denoising Diffusion Codebook Models RDPM: Solve Diffusion Probabilistic Models via Recurrent Token Prediction

Reference 16

Resolution: malformed identifier; local_arxiv, observed 2026-08-09T16:25:40.406196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 63735f3a-a640-4492-bbaf-991b091670c9 · outbound

This paper cites 5 Yang, L.

Compressed Image Generation with Denoising Diffusion Codebook Models 5 Yang, L

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:25:41.433420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a05e9ad9-f2ff-49e3-9702-fdd11fb70ae7 · outbound

This paper cites on the same grounds.

Compressed Image Generation with Denoising Diffusion Codebook Models on the same grounds

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:25:41.418237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1b0029b4-2040-4cd8-9bc6-60020883c1e4 · outbound

This paper cites Figure 26 shows that our CCFG method is on par with CFG in terms of FID, while CFG produces higher CLIP scores.

Compressed Image Generation with Denoising Diffusion Codebook Models Figure 26 shows that our CCFG method is on par with CFG in terms of FID, while CFG produces higher CLIP scores

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:25:41.402336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3641e1a4-0e5d-4395-b9aa-8ed19da1916e · outbound

This paper cites Intriguing properties of neural networks.

Compressed Image Generation with Denoising Diffusion Codebook Models Intriguing properties of neural networks

Reference 1981

Resolution: unresolved; no resolver link, observed 2026-08-09T16:25:40.120433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c865892a-f9a6-4b9b-8b84-5d61bed1af97 · outbound

This paper cites cc/paper_files/paper/2014/file/ 5ca3e9b122f61f8f06494c97b1afccf3-Paper.

Compressed Image Generation with Denoising Diffusion Codebook Models cc/paper_files/paper/2014/file/ 5ca3e9b122f61f8f06494c97b1afccf3-Paper

Reference 2014

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:25:41.561104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5fb16aef-758c-460b-b567-06c8e2e95068 · outbound

This paper cites Lossy Compression with Gaussian Diffusion.

Compressed Image Generation with Denoising Diffusion Codebook Models Lossy Compression with Gaussian Diffusion

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-09T16:25:40.130080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2515fe4d-1e5e-44cd-8fb7-234c912ef02a · outbound

This paper cites cc/paper_files/paper/2019/file/ 3001ef257407d5a371a96dcd947c7d93-Paper.

Compressed Image Generation with Denoising Diffusion Codebook Models cc/paper_files/paper/2019/file/ 3001ef257407d5a371a96dcd947c7d93-Paper

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:25:41.464379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 793a6385-8266-4cd5-96e3-a598e24581fd · outbound

This paper cites cc/paper_files/paper/2021/file/ 7d6044e95a16761171b130dcb476a43e-Paper.

Compressed Image Generation with Denoising Diffusion Codebook Models cc/paper_files/paper/2021/file/ 7d6044e95a16761171b130dcb476a43e-Paper

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:25:41.529425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 680ebbd4-6abe-4ef2-a244-4faf94de375e · outbound

This paper cites ISBN 978-3-031-19796-3.

Compressed Image Generation with Denoising Diffusion Codebook Models ISBN 978-3-031-19796-3

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-09T16:25:40.061846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bac0b68b-72f5-45d0-bbf5-665268a419f2 · outbound

This paper cites 2 Jiang, W., Yang, J., Zhai, Y ., Ning, P., Gao, F., and Wang, R.

Compressed Image Generation with Denoising Diffusion Codebook Models 2 Jiang, W., Yang, J., Zhai, Y ., Ning, P., Gao, F., and Wang, R

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:25:41.512090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 22b90c40-47b9-47a2-9a3d-b0bd5b675878 · outbound

This paper cites Proxies for Distortion and Consistency with Applications for Real-World Image Restoration.

Compressed Image Generation with Denoising Diffusion Codebook Models Proxies for Distortion and Consistency with Applications for Real-World Image Restoration

Reference 2024

Resolution: verified exact; local_arxiv, observed 2026-08-09T16:25:40.754226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2078f499-2580-4c10-8823-cfa7cf5b54e3 · outbound

This paper cites 2 Yang, R.

Compressed Image Generation with Denoising Diffusion Codebook Models 2 Yang, R

Reference 2025

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T16:25:40.380644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 63badefa-4b1c-4df4-bde8-6ac21d54a5a7 · outbound

This paper cites 1, 3, 32, 33 Huang, G.

Compressed Image Generation with Denoising Diffusion Codebook Models 1, 3, 32, 33 Huang, G

Reference 6851

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:25:41.545331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

Observation 83f31626-0bd4-4728-96a1-7a5a5e6ca938 · 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 Compressed Image Generation with Denoising Diffusion Codebook Models

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:21:01.231405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ee829237-2787-4cf3-bd5c-f835014c0366 · inbound

Few-step Generative Models as Lossy Compression cites this paper.

Few-step Generative Models as Lossy Compression Compressed Image Generation with Denoising Diffusion Codebook Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:07:36.771929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.