Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Recent Advances in Traffic Accident Analysis and Prediction: A Comprehensive Review of Machine Learning Techniques
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.13968.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:14:12.243026Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T23:48:48.639385Z
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 7e0e76a2-e3d9-4d1a-905d-b43e7d761816 · inbound
Deep Learning Advances in Vision-Based Traffic Accident Anticipation: A Comprehensive Review of Methods, Datasets, and Future Directions cites this paper.
Deep Learning Advances in Vision-Based Traffic Accident Anticipation: A Comprehensive Review of Methods, Datasets, and Future Directions Recent Advances in Traffic Accident Analysis and Prediction: A Comprehensive Review of Machine Learning Techniques
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:14:12.243026Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0487b26e-ee8a-4608-8bcf-937ddcdcf84a · inbound
Integrating Generative Adversarial Networks and Convolutional Neural Networks for Enhanced Traffic Accidents Detection and Analysis cites this paper.
Integrating Generative Adversarial Networks and Convolutional Neural Networks for Enhanced Traffic Accidents Detection and Analysis Recent Advances in Traffic Accident Analysis and Prediction: A Comprehensive Review of Machine Learning Techniques
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T23:48:48.780780Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c00eb896-c01c-45f8-8cd8-09aa3bf58e82 · inbound
Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques cites this paper.
Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques Recent Advances in Traffic Accident Analysis and Prediction: A Comprehensive Review of Machine Learning Techniques
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:12:54.014012Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.