Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1910.11006.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:46:14.212847Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-09T05:55:30.856022Z
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 7f92aad8-0e70-491d-96e9-88acc63313cd · inbound
Fine-Tuning Video Transformers for Word-Level Bangla Sign Language: A Comparative Analysis for Classification Tasks cites this paper.
Fine-Tuning Video Transformers for Word-Level Bangla Sign Language: A Comparative Analysis for Classification Tasks Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:46:14.212847Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ca52b8af-7f84-4c55-b279-8b2b5179c4e3 · inbound
SignMAE: Segmentation-Driven Self-Supervised Learning for Sign Language Recognition cites this paper.
SignMAE: Segmentation-Driven Self-Supervised Learning for Sign Language Recognition Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T05:55:30.857920Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.