Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LLM-Assisted Light: Leveraging Large Language Model Capabilities for Human-Mimetic Traffic Signal Control in Complex Urban Environments
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2403.08337.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:35:53.478380Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T13:35:45.998766Z
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 e9564c40-7576-43db-92a1-7fddbc95dac5 · inbound
Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback cites this paper.
Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback LLM-Assisted Light: Leveraging Large Language Model Capabilities for Human-Mimetic Traffic Signal Control in Complex Urban Environments
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:35:53.478380Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 48452979-b077-4e5b-8730-053949679dbe · inbound
SUMO-MCP: Leveraging the Model Context Protocol for Autonomous Traffic Simulation and Optimization cites this paper.
SUMO-MCP: Leveraging the Model Context Protocol for Autonomous Traffic Simulation and Optimization LLM-Assisted Light: Leveraging Large Language Model Capabilities for Human-Mimetic Traffic Signal Control in Complex Urban Environments
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:03:25.422257Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 619b9dce-39cb-4b45-a6ca-e0bce1798bcb · inbound
Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications cites this paper.
Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications LLM-Assisted Light: Leveraging Large Language Model Capabilities for Human-Mimetic Traffic Signal Control in Complex Urban Environments
Reference 180
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:07:11.264175Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4027db61-4f38-4c87-a092-47f6b42457d5 · inbound
Chat2SPaT: A Large Language Model Based Tool for Automating Traffic Signal Control Plan Management cites this paper.
Chat2SPaT: A Large Language Model Based Tool for Automating Traffic Signal Control Plan Management LLM-Assisted Light: Leveraging Large Language Model Capabilities for Human-Mimetic Traffic Signal Control in Complex Urban Environments
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:13:30.842523Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7220bf6-e5f4-42a1-aa72-716722fdc2af · inbound
Earth Science Foundation Models: From Perception to Reasoning and Discovery cites this paper.
Earth Science Foundation Models: From Perception to Reasoning and Discovery LLM-Assisted Light: Leveraging Large Language Model Capabilities for Human-Mimetic Traffic Signal Control in Complex Urban Environments
Reference 238
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:08:03.371834Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 2db50540-a88b-42bb-af8d-93fae4ded208 · inbound
Earth Science Foundation Models: From Perception to Reasoning and Discovery cites this paper.
Earth Science Foundation Models: From Perception to Reasoning and Discovery LLM-Assisted Light: Leveraging Large Language Model Capabilities for Human-Mimetic Traffic Signal Control in Complex Urban Environments
Reference 238
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T13:35:46.000731Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d53a4f12-70c2-4b41-aec3-ee1e1098c3fe · inbound
ReasonLight: A Multimodal Foundation Model-Enhanced Reinforcement Learning Framework for Zero-Shot Traffic Signal Control cites this paper.
ReasonLight: A Multimodal Foundation Model-Enhanced Reinforcement Learning Framework for Zero-Shot Traffic Signal Control LLM-Assisted Light: Leveraging Large Language Model Capabilities for Human-Mimetic Traffic Signal Control in Complex Urban Environments
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T07:33:13.294960Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.