Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CSTA: CNN-based Spatiotemporal Attention for Video Summarization
As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.11905.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-14T18:39:24.915547Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T19:16:01.324655Z
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 844e87dd-d279-443e-b62b-a7cb206d277d · inbound
Multi-Scale Separable Fourier Neural Networks for Solving High-Frequency PDEs cites this paper.
Multi-Scale Separable Fourier Neural Networks for Solving High-Frequency PDEs CSTA: CNN-based Spatiotemporal Attention for Video Summarization
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T15:34:37.002001Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation abbe04a2-5e09-4961-9187-e16157eedb77 · inbound
Multi-Scale Separable Fourier Neural Networks for Solving High-Frequency PDEs cites this paper.
Multi-Scale Separable Fourier Neural Networks for Solving High-Frequency PDEs CSTA: CNN-based Spatiotemporal Attention for Video Summarization
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T18:39:24.915547Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 77b768e4-91cc-4b9d-a593-16cbd3fc4e34 · inbound
PEEK: Picking Essential frames via Efficient Knowledge distillation cites this paper.
PEEK: Picking Essential frames via Efficient Knowledge distillation CSTA: CNN-based Spatiotemporal Attention for Video Summarization
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T19:16:01.326274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.