Paper Citation Record · LEDGER

Extreme Generative Image Compression by Learning Text Embedding from Diffusion Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2211.07793.

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

pith.paper-citation-record.v1
2211.07793 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:06:11.489916Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T00:25:09.652077Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 80d9ad71-65f6-401d-b5d9-6e515640959c · inbound

UniMIC: Towards Universal Multi-modality Perceptual Image Compression cites this paper.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression Extreme Generative Image Compression by Learning Text Embedding from Diffusion Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:26.151690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5d15c10-7692-4427-85db-3891b42cef63 · inbound

Controllable Distortion-Perception Tradeoff Through Latent Diffusion for Neural Image Compression cites this paper.

Controllable Distortion-Perception Tradeoff Through Latent Diffusion for Neural Image Compression Extreme Generative Image Compression by Learning Text Embedding from Diffusion Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T15:06:46.365696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33fe6393-a661-4855-8849-62d07bf70ac0 · inbound

Semantics-Guided Diffusion for Deep Joint Source-Channel Coding in Wireless Image Transmission cites this paper.

Semantics-Guided Diffusion for Deep Joint Source-Channel Coding in Wireless Image Transmission Extreme Generative Image Compression by Learning Text Embedding from Diffusion Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T22:41:50.454100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a315e184-4b23-4766-af23-5c357f32fd26 · inbound

Diffusion-based Perceptual Neural Video Compression with Temporal Diffusion Information Reuse cites this paper.

Diffusion-based Perceptual Neural Video Compression with Temporal Diffusion Information Reuse Extreme Generative Image Compression by Learning Text Embedding from Diffusion Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T15:55:32.615072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2da4ab90-f30c-4362-bf33-be0814410284 · 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 Extreme Generative Image Compression by Learning Text Embedding from Diffusion Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T22:06:11.489916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cf21f65-2dba-4f0f-a81f-98f80528993d · inbound

A Noise Constrained Diffusion (NC-Diffusion) Framework for High Fidelity Image Compression cites this paper.

A Noise Constrained Diffusion (NC-Diffusion) Framework for High Fidelity Image Compression Extreme Generative Image Compression by Learning Text Embedding from Diffusion Models

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:20:54.413970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ab342773-803e-4d7e-92e7-442baca95324 · inbound

Active Sampling for Ultra-Low-Bit-Rate Video Compression via Conditional Controlled Diffusion cites this paper.

Active Sampling for Ultra-Low-Bit-Rate Video Compression via Conditional Controlled Diffusion Extreme Generative Image Compression by Learning Text Embedding from Diffusion Models

Reference 43

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T06:25:40.409208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c530d58c-bf2a-4904-93a2-f9a18ff0454b · inbound

Active Sampling for Ultra-Low-Bit-Rate Video Compression via Conditional Controlled Diffusion cites this paper.

Active Sampling for Ultra-Low-Bit-Rate Video Compression via Conditional Controlled Diffusion Extreme Generative Image Compression by Learning Text Embedding from Diffusion Models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-01T00:25:09.654957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.