Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ChatGPT is on the Horizon: Could a Large Language Model be Suitable for Intelligent Traffic Safety Research and Applications?
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2303.05382.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:08:17.128498Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T13:35:46.227228Z
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 eb13bdd9-45a1-4a06-a0c8-d46fab6dba4b · inbound
Foundation Models for Geospatial Reasoning: Assessing Capabilities of Large Language Models in Understanding Geometries and Topological Spatial Relations cites this paper.
Foundation Models for Geospatial Reasoning: Assessing Capabilities of Large Language Models in Understanding Geometries and Topological Spatial Relations ChatGPT is on the Horizon: Could a Large Language Model be Suitable for Intelligent Traffic Safety Research and Applications?
Reference 117
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:08:17.128498Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 505cfec2-b25e-4793-bbf3-d71de0e71e18 · inbound
Automated Traffic Incident Response Plans using Generative Artificial Intelligence: Part 1 -- Building the Incident Response Benchmark cites this paper.
Automated Traffic Incident Response Plans using Generative Artificial Intelligence: Part 1 -- Building the Incident Response Benchmark ChatGPT is on the Horizon: Could a Large Language Model be Suitable for Intelligent Traffic Safety Research and Applications?
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:09:08.182479Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f0a33f9-30a6-45b3-be93-0c0b04c58a8d · inbound
GraphTrafficGPT: Enhancing Traffic Management Through Graph-Based AI Agent Coordination cites this paper.
GraphTrafficGPT: Enhancing Traffic Management Through Graph-Based AI Agent Coordination ChatGPT is on the Horizon: Could a Large Language Model be Suitable for Intelligent Traffic Safety Research and Applications?
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:26:36.925341Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eec74f74-9b2e-4857-b339-5f5a3564232d · inbound
Structured Prompting and Multi-Agent Knowledge Distillation for Traffic Video Interpretation and Risk Inference cites this paper.
Structured Prompting and Multi-Agent Knowledge Distillation for Traffic Video Interpretation and Risk Inference ChatGPT is on the Horizon: Could a Large Language Model be Suitable for Intelligent Traffic Safety Research and Applications?
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T19:06:39.496604Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a48dfbca-bd70-4ba3-bf85-4ee50752c1f9 · inbound
Earth Science Foundation Models: From Perception to Reasoning and Discovery cites this paper.
Earth Science Foundation Models: From Perception to Reasoning and Discovery ChatGPT is on the Horizon: Could a Large Language Model be Suitable for Intelligent Traffic Safety Research and Applications?
Reference 279
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:08:03.307180Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 88b6607b-0ecf-475d-a3a6-642e6402c0f8 · inbound
Earth Science Foundation Models: From Perception to Reasoning and Discovery cites this paper.
Earth Science Foundation Models: From Perception to Reasoning and Discovery ChatGPT is on the Horizon: Could a Large Language Model be Suitable for Intelligent Traffic Safety Research and Applications?
Reference 279
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T13:35:46.229062Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.