Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
FRSign: A Large-Scale Traffic Light Dataset for Autonomous Trains
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2002.05665.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:24:42.804986Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T19:06:10.998225Z
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 0e0bab53-0860-46f4-bcdf-007efcb827dc · inbound
LiDAR-Guided Monocular 3D Object Detection for Long-Range Railway Monitoring cites this paper.
LiDAR-Guided Monocular 3D Object Detection for Long-Range Railway Monitoring FRSign: A Large-Scale Traffic Light Dataset for Autonomous Trains
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:24:42.804986Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 56b32b71-787b-4c71-bf21-f95999934fc9 · inbound
Railway Artificial Intelligence Learning Benchmark (RAIL-BENCH): A Benchmark Suite for Perception in the Railway Domain cites this paper.
Railway Artificial Intelligence Learning Benchmark (RAIL-BENCH): A Benchmark Suite for Perception in the Railway Domain FRSign: A Large-Scale Traffic Light Dataset for Autonomous Trains
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:06:11.000810Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 1b37191b-e7d4-41ac-b51a-13e61e9b4d60 · inbound
A Multi-Sensor Dataset for Monitoring the Operational Environment of Rail Vehicles cites this paper.
A Multi-Sensor Dataset for Monitoring the Operational Environment of Rail Vehicles FRSign: A Large-Scale Traffic Light Dataset for Autonomous Trains
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:31:54.595377Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.