Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Underwater Object Detection in the Era of Artificial Intelligence: Current, Challenge, and Future
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.05577.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:43:59.799342Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T02:06:58.713449Z
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 f3fc9f20-393f-49c0-bbb7-6dcd6fbed55a · inbound
Improve Underwater Object Detection through YOLOv12 Architecture and Physics-informed Augmentation cites this paper.
Improve Underwater Object Detection through YOLOv12 Architecture and Physics-informed Augmentation Underwater Object Detection in the Era of Artificial Intelligence: Current, Challenge, and Future
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:43:59.799342Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dbd563e8-74f1-45fc-b0d7-01701fa510d3 · inbound
AI in Agriculture: A Survey of Deep Learning Techniques for Crops, Fisheries and Livestock cites this paper.
AI in Agriculture: A Survey of Deep Learning Techniques for Crops, Fisheries and Livestock Underwater Object Detection in the Era of Artificial Intelligence: Current, Challenge, and Future
Reference 172
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T02:06:58.720253Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.