Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Extreme Video Compression with Pre-trained Diffusion Models
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.08934.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:23:49.009462Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T07:01:00.050390Z
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 fa9301e2-39d4-4f63-8b52-b288c678c457 · 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 Video Compression with Pre-trained Diffusion Models
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:55:32.748970Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 53b4584a-21ad-41f5-b65e-b318f8221440 · inbound
Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model cites this paper.
Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model Extreme Video Compression with Pre-trained Diffusion Models
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:23:49.009462Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a55aeb2d-5c11-4c27-8b5b-4356f08fda47 · inbound
Controllable Generative Video Compression cites this paper.
Controllable Generative Video Compression Extreme Video Compression with Pre-trained Diffusion Models
Reference 13
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T00:41:03.573029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 7ed1f2ab-804e-454c-a8b2-e4828a09af79 · inbound
Multi-Modal Learning meets Genetic Programming: Analyzing Alignment in Latent Space Optimization cites this paper.
Multi-Modal Learning meets Genetic Programming: Analyzing Alignment in Latent Space Optimization Extreme Video Compression with Pre-trained Diffusion Models
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T23:58:40.131335Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fbc7a0c3-34f8-4315-96ab-f57647fd107f · inbound
DiV-INR: Extreme Low-Bitrate Diffusion Video Compression with INR Conditioning cites this paper.
DiV-INR: Extreme Low-Bitrate Diffusion Video Compression with INR Conditioning Extreme Video Compression with Pre-trained Diffusion Models
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:01:00.054348Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.