Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
TransGPT: Multi-modal Generative Pre-trained Transformer for Transportation
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.07233.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T19:28:54.641258Z
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 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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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.