Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learning Traffic Crashes as Language: Datasets, Benchmarks, and What-if Causal Analyses
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2406.10789.
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 2026-08-15T23:22:46.458202Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T23:06:20.643231Z
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 e747f55a-3174-4d8c-8590-34e76b368e5a · inbound
CrashSage: A Large Language Model-Centered Framework for Contextual and Interpretable Traffic Crash Analysis cites this paper.
CrashSage: A Large Language Model-Centered Framework for Contextual and Interpretable Traffic Crash Analysis Learning Traffic Crashes as Language: Datasets, Benchmarks, and What-if Causal Analyses
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:22:46.458202Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7b6c24ea-bf77-406f-a2c6-af9bcc316956 · inbound
Advanced Crash Causation Analysis for Freeway Safety: A Large Language Model Approach to Identifying Key Contributing Factors cites this paper.
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 70f96399-eacc-4013-b114-062c9d1c8db0 · 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 Learning Traffic Crashes as Language: Datasets, Benchmarks, and What-if Causal Analyses
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:12:54.074249Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation beccc242-6eb2-4b94-98ea-a94d1614a42c · 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 Learning Traffic Crashes as Language: Datasets, Benchmarks, and What-if Causal Analyses
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:45:28.677775Z
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 6bcae783-0d68-4367-9181-2b28c306a822 · inbound
TrafficRAG: A Multimodal RAG Framework for Traffic Accident Liability Determination cites this paper.
TrafficRAG: A Multimodal RAG Framework for Traffic Accident Liability Determination Learning Traffic Crashes as Language: Datasets, Benchmarks, and What-if Causal Analyses
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T23:06:20.647186Z
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.