Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards Real-Time Fast Unmanned Aerial Vehicle Detection Using Dynamic Vision Sensors
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2403.11875.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:28:00.751424Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 66598b07-4c6a-4070-b499-9d7186baf9b0 · inbound
FRED: The Florence RGB-Event Drone Dataset cites this paper.
FRED: The Florence RGB-Event Drone Dataset Towards Real-Time Fast Unmanned Aerial Vehicle Detection Using Dynamic Vision Sensors
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:28:00.751424Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6fb24ff1-1b15-47d2-8d93-188bce0cfad8 · inbound
Analytical performance evaluation of quantum radar architectures: From single-photon to entangled-noise radars cites this paper.
Analytical performance evaluation of quantum radar architectures: From single-photon to entangled-noise radars Towards Real-Time Fast Unmanned Aerial Vehicle Detection Using Dynamic Vision Sensors
Reference 64
- Resolution
- verified exact
- arxiv_id, observed 2026-06-27T13:30:56.727105Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0bf00e92-60a7-44b9-92a5-c53973328680 · inbound
SkyEV: RGB-Event UAV detection and tracking dataset and baseline cites this paper.
SkyEV: RGB-Event UAV detection and tracking dataset and baseline Towards Real-Time Fast Unmanned Aerial Vehicle Detection Using Dynamic Vision Sensors
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:31:05.791178Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.