Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Leveraging YOLO-World and GPT-4V LMMs for Zero-Shot Person Detection and Action Recognition in Drone Imagery
As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.01571.
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 2026-08-15T23:55:39.906991Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-15T23:55:40.046304Z
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 6fcc4618-0982-4509-8e05-584422e3d4f3 · inbound
LogisticsVLN: Vision-Language Navigation For Low-Altitude Terminal Delivery Based on Agentic UAVs cites this paper.
LogisticsVLN: Vision-Language Navigation For Low-Altitude Terminal Delivery Based on Agentic UAVs Leveraging YOLO-World and GPT-4V LMMs for Zero-Shot Person Detection and Action Recognition in Drone Imagery
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T23:55:40.051162Z
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.
Observation 4c733639-8235-4444-bf38-a030b0f627a4 · inbound
When Large Language Models Meet UAV Projects: An Empirical Study from Developers' Perspective cites this paper.
When Large Language Models Meet UAV Projects: An Empirical Study from Developers' Perspective Leveraging YOLO-World and GPT-4V LMMs for Zero-Shot Person Detection and Action Recognition in Drone Imagery
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T16:33:24.514750Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.