Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Drowsiness Detection Based On Driver Temporal Behavior Using a New Developed Dataset
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2104.00125.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T16:46:16.607672Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T16:46:20.862314Z
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 38480ddf-233c-4f5b-85fb-b6d9467220f7 · inbound
UL-DD: A Multimodal Drowsiness Dataset Using Video, Biometric Signals, and Behavioral Data cites this paper.
UL-DD: A Multimodal Drowsiness Dataset Using Video, Biometric Signals, and Behavioral Data Drowsiness Detection Based On Driver Temporal Behavior Using a New Developed Dataset
Reference 21
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-06T16:46:20.942781Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.