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Paper Citation Record · LEDGER

AccidentGPT: Large Multi-Modal Foundation Model for Traffic Accident Analysis

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2401.03040.

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

pith.paper-citation-record.v1
2401.03040 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:26:36.928846Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-01T23:06:20.631338Z

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 1a268864-13f9-4ccb-ab47-900ce284dff0 · inbound

GraphTrafficGPT: Enhancing Traffic Management Through Graph-Based AI Agent Coordination cites this paper.

GraphTrafficGPT: Enhancing Traffic Management Through Graph-Based AI Agent Coordination AccidentGPT: Large Multi-Modal Foundation Model for Traffic Accident Analysis

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T16:26:36.928846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:26:36.928846Z digest=sha256:39691f1dd6b78acab90b483bc7d37229266f54dc0470ac6a374ef39730e5f005

Observation f70efc3c-e8af-4bd5-a713-1ee89815e72c · inbound

Improving Aviation Safety Analysis: Automated HFACS Classification Using Reinforcement Learning with Group Relative Policy Optimization cites this paper.

Improving Aviation Safety Analysis: Automated HFACS Classification Using Reinforcement Learning with Group Relative Policy Optimization AccidentGPT: Large Multi-Modal Foundation Model for Traffic Accident Analysis

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-05T14:33:13.459243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:33:13.459243Z digest=sha256:087eca06e4314450b1360d88b904f2a58541d1733ed3e84d393b2369eefdc0f3

Observation 1ce38df9-b1fd-4774-9999-f10603c9f356 · inbound

Ozone: A Unified Platform for Transportation Research cites this paper.

Ozone: A Unified Platform for Transportation Research AccidentGPT: Large Multi-Modal Foundation Model for Traffic Accident Analysis

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:26:00.194284Z

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=2026-05-10T16:39:02.013342Z digest=sha256:ee315b8ec8f9921f2706f499f3a27fca61d79af3a5620d36b4bb7205622b0540

Observation 16180dc9-eb3d-4f62-a6fa-f3919a7af1df · inbound

Ozone: A Unified Platform for Transportation Research cites this paper.

Ozone: A Unified Platform for Transportation Research AccidentGPT: Large Multi-Modal Foundation Model for Traffic Accident Analysis

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-21T01:43:57.100581Z

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=2026-05-21T01:40:07.350016Z digest=sha256:55a9ff1006ec386962d9abfc5cdaa8bab9269ef1a56ea54c6a3d26a233db0f68

Observation 80c6ebf9-a64c-40f1-89c6-625781fcd429 · inbound

TrafficRAG: A Multimodal RAG Framework for Traffic Accident Liability Determination cites this paper.

TrafficRAG: A Multimodal RAG Framework for Traffic Accident Liability Determination AccidentGPT: Large Multi-Modal Foundation Model for Traffic Accident Analysis

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-07-01T23:06:20.633945Z

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=2026-06-28T14:39:27.242094Z digest=sha256:1e564ea33653fb3bb76997a7f20ef64374aae1addb222d67b5fa540fa5c62278