Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learning Discriminative Spatio-temporal Representations for Semi-supervised Action Recognition
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.16416.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T16:52:54.894113Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T17:16:40.056712Z
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 2d9693e9-22a7-4efb-9789-44932768db2c · inbound
DVFL-Net: A Lightweight Distilled Video Focal Modulation Network for Spatio-Temporal Action Recognition cites this paper.
DVFL-Net: A Lightweight Distilled Video Focal Modulation Network for Spatio-Temporal Action Recognition Learning Discriminative Spatio-temporal Representations for Semi-supervised Action Recognition
Reference 93
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:52:54.894113Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00f53048-3dee-4c9e-a47a-9fa3273d5156 · inbound
Action Hints: Semantic Typicality and Context Uniqueness for Generalizable Skeleton-based Video Anomaly Detection cites this paper.
Action Hints: Semantic Typicality and Context Uniqueness for Generalizable Skeleton-based Video Anomaly Detection Learning Discriminative Spatio-temporal Representations for Semi-supervised Action Recognition
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T17:16:40.059868Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.