Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Snap Video: Scaled Spatiotemporal Transformers for Text-to-Video Synthesis
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.14797.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T16:22:43.892036Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T13:43:11.137322Z
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 b362f58d-3f5d-445d-b916-b5236a514b35 · inbound
Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models cites this paper.
Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models Snap Video: Scaled Spatiotemporal Transformers for Text-to-Video Synthesis
Reference 67
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T13:43:11.138877Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation fa8b3dda-f719-4524-9c09-dd4d7e442828 · inbound
VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs cites this paper.
VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs Snap Video: Scaled Spatiotemporal Transformers for Text-to-Video Synthesis
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T02:44:53.593310Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation f3f05bca-f2d1-4a01-b569-ca160860ee40 · inbound
VBench++: Comprehensive and Versatile Benchmark Suite for Video Generative Models cites this paper.
VBench++: Comprehensive and Versatile Benchmark Suite for Video Generative Models Snap Video: Scaled Spatiotemporal Transformers for Text-to-Video Synthesis
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T16:22:43.892036Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a0cf65a8-03d7-48b9-8cdd-c20fa9fb645e · inbound
Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising cites this paper.
Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising Snap Video: Scaled Spatiotemporal Transformers for Text-to-Video Synthesis
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:37:01.753229Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.