Paper Citation Record · LEDGER

CV-VAE: A Compatible Video VAE for Latent Generative Video Models

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2405.20279.

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

pith.paper-citation-record.v1
2405.20279 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:11:26.921034Z

measured 0 of 1 external citation measurements

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 f1d5bc35-7dbe-4ab4-bf0e-5daadada954c · inbound

WF-VAE: Enhancing Video VAE by Wavelet-Driven Energy Flow for Latent Video Diffusion Model cites this paper.

WF-VAE: Enhancing Video VAE by Wavelet-Driven Energy Flow for Latent Video Diffusion Model CV-VAE: A Compatible Video VAE for Latent Generative Video Models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-12T12:11:26.921034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f36d674f-0dae-4596-95b0-33d22e2afff5 · inbound

Mimir: Improving Video Diffusion Models for Precise Text Understanding cites this paper.

Mimir: Improving Video Diffusion Models for Precise Text Understanding CV-VAE: A Compatible Video VAE for Latent Generative Video Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-11T22:51:11.827049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c52c77f-d427-4d56-a089-66e23797187f · inbound

Large Motion Video Autoencoding with Cross-modal Video VAE cites this paper.

Large Motion Video Autoencoding with Cross-modal Video VAE CV-VAE: A Compatible Video VAE for Latent Generative Video Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T05:13:47.428964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89f9657c-725a-40ae-ac93-747eaa4f2af2 · inbound

VanGogh: A Unified Multimodal Diffusion-based Framework for Video Colorization cites this paper.

VanGogh: A Unified Multimodal Diffusion-based Framework for Video Colorization CV-VAE: A Compatible Video VAE for Latent Generative Video Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-10T20:01:25.543114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+00:00.