Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
GenAI-powered Multi-Agent Paradigm for Smart Urban Mobility: Opportunities and Challenges for Integrating Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) with Intelligent Transportation Systems
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2409.00494.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T13:24:42.860669Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T20:56:14.238637Z
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 cb5b6f7c-1c2f-4f57-9052-246811b14302 · inbound
C-FedRAG: A Confidential Federated Retrieval-Augmented Generation System cites this paper.
C-FedRAG: A Confidential Federated Retrieval-Augmented Generation System GenAI-powered Multi-Agent Paradigm for Smart Urban Mobility: Opportunities and Challenges for Integrating Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) with Intelligent Transportation Systems
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:24:42.860669Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 86bd9022-670d-4ad0-aecc-e59e2f22fd59 · inbound
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol cites this paper.
Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol GenAI-powered Multi-Agent Paradigm for Smart Urban Mobility: Opportunities and Challenges for Integrating Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) with Intelligent Transportation Systems
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:40:22.191430Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e3cbd681-6bc8-4643-af81-f95f5d7e9a48 · inbound
Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration cites this paper.
Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration GenAI-powered Multi-Agent Paradigm for Smart Urban Mobility: Opportunities and Challenges for Integrating Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) with Intelligent Transportation Systems
Reference 94
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:16:14.831788Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b73bf6fc-580c-496f-89ab-2870deed2639 · inbound
Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation cites this paper.
Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation GenAI-powered Multi-Agent Paradigm for Smart Urban Mobility: Opportunities and Challenges for Integrating Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) with Intelligent Transportation Systems
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:44:42.707554Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6f857cb4-1a2f-43da-a695-f5c4162fb597 · 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 GenAI-powered Multi-Agent Paradigm for Smart Urban Mobility: Opportunities and Challenges for Integrating Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) with Intelligent Transportation Systems
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T20:56:14.239961Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.