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Paper Citation Record · LEDGER

Lossy Image Compression with Conditional Diffusion Models

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2209.06950.

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

pith.paper-citation-record.v1
2209.06950 v8

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:59:39.947582Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

30
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 35ae1133-60aa-4055-9f45-9fb5966dd9fc · inbound

PICD: Versatile Perceptual Image Compression with Diffusion Rendering cites this paper.

PICD: Versatile Perceptual Image Compression with Diffusion Rendering Lossy Image Compression with Conditional Diffusion Models

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-15T22:59:39.947582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:59:39.947582Z digest=sha256:1efbab7d33f63d0d9e75dcd586f95609946fd4d43568e95916625bcdd148458c

Observation 239249b3-a967-46fe-9729-c0a0f20249f6 · inbound

Ultra Lowrate Image Compression with Semantic Residual Coding and Compression-aware Diffusion cites this paper.

Ultra Lowrate Image Compression with Semantic Residual Coding and Compression-aware Diffusion Lossy Image Compression with Conditional Diffusion Models

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-15T22:06:11.551862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:06:11.551862Z digest=sha256:2096f9be21bc2424bd0d889ed7eef786ed4fa89b0a4d5780d402d53589020d23

Observation 1f9e46eb-8924-4372-8fa8-27d00f143261 · inbound

Fast Training-free Perceptual Image Compression cites this paper.

Fast Training-free Perceptual Image Compression Lossy Image Compression with Conditional Diffusion Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T23:54:28.047873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:54:28.047873Z digest=sha256:95cb451fe533f0d074cfb3bd57ac430c65cd2647d5215c9d78ce0a24468a2dd7

Observation 0397b1d4-6679-413c-b5df-3de7963392c8 · inbound

GVCC: Zero-Shot Video Compression via Codebook-Driven Stochastic Rectified Flow cites this paper.

GVCC: Zero-Shot Video Compression via Codebook-Driven Stochastic Rectified Flow Lossy Image Compression with Conditional Diffusion Models

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-14T23:33:16.220563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-14T23:31:43.868878Z digest=sha256:3e4e38be1a5e2a1f9284d9369766e2df45593a070d75ff7171c409201c99a46f

Observation c3293eb1-019b-4c67-80e7-9ab347d3b823 · inbound

Transforming the Use of Earth Observation Data: Exascale Training of a Generative Compression Model with Historical Priors for up to 10,000x Data Reduction cites this paper.

Transforming the Use of Earth Observation Data: Exascale Training of a Generative Compression Model with Historical Priors for up to 10,000x Data Reduction Lossy Image Compression with Conditional Diffusion Models

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-12T01:16:13.818797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-12T01:14:17.332353Z digest=sha256:457e0d24d2fe061e49c9ac6c9e93541813eec3a8306ed9d06ec3fd0fb3f579e3

Observation cc80b5fc-549a-4eea-ba78-c82ed8f8830c · inbound

Dual-Constrained Diffusion Image Compression for Operational Rate-Distortion-Perception Optimization cites this paper.

Dual-Constrained Diffusion Image Compression for Operational Rate-Distortion-Perception Optimization Lossy Image Compression with Conditional Diffusion Models

Reference 44

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T13:58:21.686133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-27T07:24:03.497997Z digest=sha256:3a304e6a713d9113250ca41265b690d021dbbd4623d5dff2245a8df8ea5959f0