Paper Citation Record · LEDGER

TransGPT: Multi-modal Generative Pre-trained Transformer for Transportation

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2402.07233.

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

pith.paper-citation-record.v1
2402.07233 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:00:03.390620Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d8a7a05e-194d-4ff9-9715-f3550a6d4404 · inbound

Toward LLM-Agent-Based Modeling of Transportation Systems: A Conceptual Framework cites this paper.

Toward LLM-Agent-Based Modeling of Transportation Systems: A Conceptual Framework TransGPT: Multi-modal Generative Pre-trained Transformer for Transportation

Reference 104

Resolution: unresolved; no resolver link, observed 2026-08-11T19:28:54.641258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ab32279-5f74-4e70-b6bb-22e1a86731ed · inbound

A Driver Advisory System Based on Large Language Model for High-speed Train cites this paper.

A Driver Advisory System Based on Large Language Model for High-speed Train TransGPT: Multi-modal Generative Pre-trained Transformer for Transportation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T20:38:00.872448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e30302e6-b4e8-45b1-8e33-1fed5a8c8c57 · inbound

UrbanPlanBench: A Comprehensive Urban Planning Benchmark for Evaluating Large Language Models cites this paper.

UrbanPlanBench: A Comprehensive Urban Planning Benchmark for Evaluating Large Language Models TransGPT: Multi-modal Generative Pre-trained Transformer for Transportation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T11:00:03.390620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 724a5fc4-5914-427c-b89d-f54d56255c11 · inbound

TRIP-Evaluate: An Open Multimodal Benchmark for Evaluating Large Models in Transportation cites this paper.

TRIP-Evaluate: An Open Multimodal Benchmark for Evaluating Large Models in Transportation TransGPT: Multi-modal Generative Pre-trained Transformer for Transportation

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-09T20:17:04.556125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 078c889f-6836-482c-8fbe-f41306228437 · 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 TransGPT: Multi-modal Generative Pre-trained Transformer for Transportation

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-07-01T20:56:14.240594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7e07781f-6dbc-497c-a397-333b0bb010df · inbound

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text cites this paper.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text TransGPT: Multi-modal Generative Pre-trained Transformer for Transportation

Reference 120

Resolution: unresolved; no resolver link, observed 2026-08-02T13:37:01.587413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.