Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CV-VAE: A Compatible Video VAE for Latent Generative Video Models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2405.20279.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:14:21.136900Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T11:46:56.051112Z
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 a2164991-e91f-4346-9582-6048747f5b5c · inbound
SkyReels-V2: Infinite-length Film Generative Model cites this paper.
SkyReels-V2: Infinite-length Film Generative Model CV-VAE: A Compatible Video VAE for Latent Generative Video Models
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T20:23:04.190080Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 99ab9c85-0178-4c01-9f02-1f10d5ed141b · inbound
Interspatial Attention for Efficient 4D Human Video Generation cites this paper.
Interspatial Attention for Efficient 4D Human Video Generation CV-VAE: A Compatible Video VAE for Latent Generative Video Models
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:14:21.136900Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 95783926-19f6-421e-a31b-5d585f60afa9 · inbound
Hi-VAE: Efficient Video Autoencoding with Global and Detailed Motion cites this paper.
Hi-VAE: Efficient Video Autoencoding with Global and Detailed Motion CV-VAE: A Compatible Video VAE for Latent Generative Video Models
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:47:18.345750Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a9e58314-9994-4bde-b334-7b66a04ba59a · inbound
Can3Tok: Canonical 3D Tokenization and Latent Modeling of Scene-Level 3D Gaussians cites this paper.
Can3Tok: Canonical 3D Tokenization and Latent Modeling of Scene-Level 3D Gaussians CV-VAE: A Compatible Video VAE for Latent Generative Video Models
Reference 84
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:40:03.827247Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b9c03e4f-0163-494d-b78f-6082d97ccb9d · inbound
HumanGenesis: Agent-Based Geometric and Generative Modeling for Synthetic Human Dynamics cites this paper.
HumanGenesis: Agent-Based Geometric and Generative Modeling for Synthetic Human Dynamics CV-VAE: A Compatible Video VAE for Latent Generative Video Models
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:49:53.744497Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d2d4cfe0-9b83-4b04-aeb0-14ae27742626 · inbound
Efficient Video Diffusion Models: Advancements and Challenges cites this paper.
Efficient Video Diffusion Models: Advancements and Challenges CV-VAE: A Compatible Video VAE for Latent Generative Video Models
Reference 192
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T09:03:26.320237Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 977ee4fa-8904-4d96-bd44-93cde8d0e77b · inbound
Adaptive Tokenisation Via Temporal Redundancy Masking And Latent Inpainting cites this paper.
Adaptive Tokenisation Via Temporal Redundancy Masking And Latent Inpainting CV-VAE: A Compatible Video VAE for Latent Generative Video Models
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T11:46:56.052811Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.