Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Extreme Generative Image Compression by Learning Text Embedding from Diffusion Models
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2211.07793.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:41:50.454100Z
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 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 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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+00:00.