Paper Citation Record · LEDGER

Extreme Video Compression with Pre-trained Diffusion Models

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.08934.

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

pith.paper-citation-record.v1
2402.08934 v1

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 2026-08-11T06:34:44.6726+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:55:32.748970Z

measured 0 of 1 external citation measurements

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 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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+00:00.