Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:24:56.040704Z
Paper Citation Record · LEDGER
Understanding Driving Risks using Large Language Models: Toward Elderly Driver Assessment
As of 9 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2507.08367.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
21 of 21 outbound references displayed
- verified exact0
- verified fuzzy17
- unresolved4
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 730d52e8-3e30-44d6-9913-9b26f340f333 · outbound
This paper cites Traffic accident statistics open data,.
Understanding Driving Risks using Large Language Models: Toward Elderly Driver Assessment Traffic accident statistics open data,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:25:19.401470Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5fafe582-fb9e-4c24-8fef-54d13cfd3e91 · outbound
This paper cites The long-term effects of active training strategies on improving older drivers’ scanning in intersections: a two-year follow- up to romoser and fisher (2009),.
Understanding Driving Risks using Large Language Models: Toward Elderly Driver Assessment The long-term effects of active training strategies on improving older drivers’ scanning in intersections: a two-year follow- up to romoser and fisher (2009),
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:25:19.387126Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8de85bb4-60de-4ad4-b8e8-02400602e2ff · outbound
This paper cites an unresolved cited work.
Understanding Driving Risks using Large Language Models: Toward Elderly Driver Assessment Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T18:25:19.356549Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0ef5bd47-b03b-4a26-ac31-30db872c91f2 · outbound
This paper cites Are inter- ventions effective at improving driving in older drivers?: A systematic review,.
Understanding Driving Risks using Large Language Models: Toward Elderly Driver Assessment Are inter- ventions effective at improving driving in older drivers?: A systematic review,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:24:57.602044Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 478832af-9266-4a81-b0d0-58eed7ac2bd4 · outbound
This paper cites The use of monitor- ing and feedback devices in driving: An assessment of acceptability and its key determinants,.
Understanding Driving Risks using Large Language Models: Toward Elderly Driver Assessment The use of monitor- ing and feedback devices in driving: An assessment of acceptability and its key determinants,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:24:57.314328Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 56cfb709-8226-4653-b591-36d039798285 · outbound
This paper cites Study on driver agent based on analysis of driving instruction data—driver agent for encouraging safe driving behavior (1)—,.
Understanding Driving Risks using Large Language Models: Toward Elderly Driver Assessment Study on driver agent based on analysis of driving instruction data—driver agent for encouraging safe driving behavior (1)—,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:24:57.193048Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c2712c5a-680d-4e59-8b04-27c294acf73e · outbound
This paper cites How ai from automated driving systems can contribute to the assessment of human driving behavior,.
Understanding Driving Risks using Large Language Models: Toward Elderly Driver Assessment How ai from automated driving systems can contribute to the assessment of human driving behavior,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:24:57.067897Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f2577956-5a2b-4dec-b939-e0c965af8010 · outbound
This paper cites Integrating visual large language model and reasoning chain for driver behavior analysis and risk assessment,.
Understanding Driving Risks using Large Language Models: Toward Elderly Driver Assessment Integrating visual large language model and reasoning chain for driver behavior analysis and risk assessment,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:24:56.931088Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 3586df93-3879-4c8e-9229-ddf6da30904e · outbound
This paper cites Exploring the potential of multi-modal ai for driving hazard prediction,.
Understanding Driving Risks using Large Language Models: Toward Elderly Driver Assessment Exploring the potential of multi-modal ai for driving hazard prediction,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:24:56.830016Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 605dfac7-b8fd-4eac-8698-a8287116497d · outbound
This paper cites Surrealdriver: Designing llm-powered generative driver agent framework based on human drivers’ driving-thinking data,.
Understanding Driving Risks using Large Language Models: Toward Elderly Driver Assessment Surrealdriver: Designing llm-powered generative driver agent framework based on human drivers’ driving-thinking data,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:24:56.760997Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 935b40bf-3880-4422-8d1e-09dda03fc379 · outbound
This paper cites Drivegpt4: Interpretable end-to-end autonomous driving via large language model,.
Understanding Driving Risks using Large Language Models: Toward Elderly Driver Assessment Drivegpt4: Interpretable end-to-end autonomous driving via large language model,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:24:56.695467Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation cf7d8e0e-8538-41ff-a8be-8861e98c2631 · outbound
This paper cites Chatbot and fatigued driver: Exploring the use of llm-based voice assistants for driving fatigue,.
Understanding Driving Risks using Large Language Models: Toward Elderly Driver Assessment Chatbot and fatigued driver: Exploring the use of llm-based voice assistants for driving fatigue,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:24:56.599215Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 52fa2c84-060a-4339-a564-bc74e6acac1f · outbound
This paper cites Older driver perception-reaction time for intersection sight distance and object detection, volume i,.
Understanding Driving Risks using Large Language Models: Toward Elderly Driver Assessment Older driver perception-reaction time for intersection sight distance and object detection, volume i,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:24:56.513177Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 322f1ce8-98ae-4432-831d-4fa3eab4a2cf · outbound
This paper cites Urban and rural differences in older drivers’ failure to stop at stop signs,.
Understanding Driving Risks using Large Language Models: Toward Elderly Driver Assessment Urban and rural differences in older drivers’ failure to stop at stop signs,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:24:56.449192Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a0be0d70-ce4d-4d72-a019-a278068b27d6 · outbound
This paper cites Left turns by older drivers with vision impairment: A naturalistic driving study,.
Understanding Driving Risks using Large Language Models: Toward Elderly Driver Assessment Left turns by older drivers with vision impairment: A naturalistic driving study,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:24:56.375692Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ede48376-8ba2-4ffe-acf2-27f9cfee1a87 · outbound
This paper cites Large lan- guage models are zero-shot reasoners,.
Understanding Driving Risks using Large Language Models: Toward Elderly Driver Assessment Large lan- guage models are zero-shot reasoners,
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:24:55.705840Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a6bd2c5f-bb17-471e-821b-92698d038729 · outbound
This paper cites Language mod- els are few-shot learners,.
Understanding Driving Risks using Large Language Models: Toward Elderly Driver Assessment Language mod- els are few-shot learners,
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:24:55.777890Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8da40cf6-3837-4f95-af12-b276475c9050 · outbound
This paper cites NuPlanQA: A Large-Scale Dataset and Benchmark for Multi-View Driving Scene Understanding in Multi-Modal Large Language Models.
Understanding Driving Risks using Large Language Models: Toward Elderly Driver Assessment NuPlanQA: A Large-Scale Dataset and Benchmark for Multi-View Driving Scene Understanding in Multi-Modal Large Language Models
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:24:55.861011Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e3a7fa0f-3434-448b-9b38-36fe97a46782 · outbound
This paper cites When technology tells you how you drive—-truck drivers’ attitudes towards feedback by technology,.
Understanding Driving Risks using Large Language Models: Toward Elderly Driver Assessment When technology tells you how you drive—-truck drivers’ attitudes towards feedback by technology,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:24:56.308131Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e4994e3f-bc98-428d-9dcc-854f0a78ff09 · outbound
This paper cites Exploring whether chatgpt-4 with image analysis capabilities can diagnose os- teosarcoma from x-ray images,.
Understanding Driving Risks using Large Language Models: Toward Elderly Driver Assessment Exploring whether chatgpt-4 with image analysis capabilities can diagnose os- teosarcoma from x-ray images,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:24:56.243635Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ccf85c7a-d310-417f-98ad-a0de803d9d21 · outbound
This paper cites Unlocking the potential of medical imaging with chatgpt’s intelligent diagnostics,.
Understanding Driving Risks using Large Language Models: Toward Elderly Driver Assessment Unlocking the potential of medical imaging with chatgpt’s intelligent diagnostics,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:24:56.149541Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Pith citing papers
No inbound Pith citation observations are available.