Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models
As of 24 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2405.14477.
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 2026-07-24T06:31:00.690269+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-10T23:38:44.933410Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T23:38:45.879453Z
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 73f6c586-f4eb-40ac-9f79-e4c03663fba1 · inbound
Cosmos World Foundation Model Platform for Physical AI cites this paper.
Cosmos World Foundation Model Platform for Physical AI LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models
Reference 170
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T23:38:45.883129Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.