Paper Citation Record · LEDGER

Lossy Image Compression with Conditional Diffusion Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 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 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:54:28.047873Z

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 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.

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 2026-08-10T06:31:04.303077+00:00.

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 2026-08-10T06:31:04.303077+00:00.

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 2026-08-10T06:31:04.303077+00:00.