Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:24:04.277590Z
Paper Citation Record · LEDGER
Advanced Crash Causation Analysis for Freeway Safety: A Large Language Model Approach to Identifying Key Contributing Factors
As of 17 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 3 inbound Pith citation observations for arXiv:2505.09949.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T17:52:02.545707Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T23:06:20.618125Z
Reference resolution
5 of 5 outbound references displayed
- verified exact0
- verified fuzzy2
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 2cf43c5c-514e-4ccc-ae30-fe8ecb21f65e · outbound
This paper cites As a result, traffic safety challenges, such as congestion and crashes, have persistently intensified (1).
Advanced Crash Causation Analysis for Freeway Safety: A Large Language Model Approach to Identifying Key Contributing Factors As a result, traffic safety challenges, such as congestion and crashes, have persistently intensified (1)
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:24:04.347282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0429474e-94af-45f7-b9b2-537d61d32f9d · outbound
This paper cites an unresolved cited work.
Advanced Crash Causation Analysis for Freeway Safety: A Large Language Model Approach to Identifying Key Contributing Factors Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T21:24:04.336822Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c48dad1e-ff4e-46b5-9a5f-d1ab22232c0c · outbound
This paper cites This study leveraged large language model (LLM) to analyze freeway crash data, identify contributing factors, and provide comprehensive explanation of the main crash causation.
Advanced Crash Causation Analysis for Freeway Safety: A Large Language Model Approach to Identifying Key Contributing Factors This study leveraged large language model (LLM) to analyze freeway crash data, identify contributing factors, and provide comprehensive explanation of the main crash causation
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:24:04.326452Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7b6c24ea-bf77-406f-a2c6-af9bcc316956 · outbound
This paper cites Learning Traffic Crashes as Language: Datasets, Benchmarks, and What-if Causal Analyses.
Advanced Crash Causation Analysis for Freeway Safety: A Large Language Model Approach to Identifying Key Contributing Factors Learning Traffic Crashes as Language: Datasets, Benchmarks, and What-if Causal Analyses
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:24:04.272455Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9edd4bb3-f393-48b5-9a45-7b715946ece5 · outbound
This paper cites Large Language Models Are Zero-Shot Text Classifiers.
Advanced Crash Causation Analysis for Freeway Safety: A Large Language Model Approach to Identifying Key Contributing Factors Large Language Models Are Zero-Shot Text Classifiers
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:24:04.277590Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation c9eec18b-ec51-4a31-9852-9f02a56849cb · inbound
VRU-Accident: A Vision-Language Benchmark for Video Question Answering and Dense Captioning for Accident Scene Understanding cites this paper.
VRU-Accident: A Vision-Language Benchmark for Video Question Answering and Dense Captioning for Accident Scene Understanding Advanced Crash Causation Analysis for Freeway Safety: A Large Language Model Approach to Identifying Key Contributing Factors
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:52:02.545707Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b0fe8ed8-13f8-40fc-ae5e-3524cfdf25be · inbound
An Agentic Workflow for Detecting Personally Identifiable Information in Crash Narratives cites this paper.
An Agentic Workflow for Detecting Personally Identifiable Information in Crash Narratives Advanced Crash Causation Analysis for Freeway Safety: A Large Language Model Approach to Identifying Key Contributing Factors
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:45:28.681809Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d47af25a-6191-4692-bd0f-7f629b203e51 · inbound
TrafficRAG: A Multimodal RAG Framework for Traffic Accident Liability Determination cites this paper.
TrafficRAG: A Multimodal RAG Framework for Traffic Accident Liability Determination Advanced Crash Causation Analysis for Freeway Safety: A Large Language Model Approach to Identifying Key Contributing Factors
Reference 1
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T23:06:20.620705Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.