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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 4 inbound Pith citation observations for arXiv:2303.05382.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2303.05382 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:26:36.925341Z

measured 0 of 1 external citation measurements

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 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.

source=pdf_text observed=2026-08-06T16:26:36.925341Z digest=sha256:1b94635691a6ccb0c00e21ab1b04e4b83643df8c700e87f46cce7ce9e8bdab2f

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.

source=arxiv_source observed=2026-08-05T19:06:39.496604Z digest=sha256:2f96a9deabfcb01c5f7d35d0a89ee1b58570f50759d3e156cc2d60ebfb63d4a1

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.

source=pdf_text observed=2026-05-14T22:07:40.242567Z digest=sha256:95bc5cdcc07bc8d80fb58506facea4e60314fdfcf9715d16ed6f23af7f867384

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.

source=pdf_text observed=2026-06-30T23:07:21.558834Z digest=sha256:200eece9cb75a8dcb24b1a9a9a59bebcd2246813dfcada9519484bab532b6a95