Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Deep Learning Approach to Detect Complete Safety Equipment For Construction Workers Based On YOLOv7
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2406.07707.
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 2026-06-28T15:49:59.627458Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T22:06:15.914429Z
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 c711d95a-259b-49fc-bac1-f567860efaf7 · inbound
Train, Test, Re-evaluate: Schedule-Sensitive Evaluation of Generative Data for Hand Detection cites this paper.
Train, Test, Re-evaluate: Schedule-Sensitive Evaluation of Generative Data for Hand Detection A Deep Learning Approach to Detect Complete Safety Equipment For Construction Workers Based On YOLOv7
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T22:06:15.915978Z
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.