Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Large Language Models for Traffic and Transportation Research: Methodologies, State of the Art, and Future Opportunities
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.21330.
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 2026-08-03T14:22:25.290860Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T20:56:14.097116Z
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 5a7024ae-977c-464b-9bc6-099723697755 · inbound
When control meets large language models: From words to dynamics cites this paper.
When control meets large language models: From words to dynamics Large Language Models for Traffic and Transportation Research: Methodologies, State of the Art, and Future Opportunities
Reference 148
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T14:54:13.136387Z
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 ad3a09d4-22f5-4d30-9026-5fbcedf568bf · inbound
Large Language Models in Transportation Systems Management and Operations: From Text Reasoning to Multi-modal Decision Support cites this paper.
Large Language Models in Transportation Systems Management and Operations: From Text Reasoning to Multi-modal Decision Support Large Language Models for Traffic and Transportation Research: Methodologies, State of the Art, and Future Opportunities
Reference 66
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T20:56:14.098620Z
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 c9004847-7390-4e42-8e64-de426af6ad38 · inbound
Benchmarking Frontier Large Language Models Against Official Crash Database Coding Using Police Crash Narratives cites this paper.
Benchmarking Frontier Large Language Models Against Official Crash Database Coding Using Police Crash Narratives Large Language Models for Traffic and Transportation Research: Methodologies, State of the Art, and Future Opportunities
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T14:22:25.290860Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.