Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
iLLM-TSC: Integration reinforcement learning and large language model for traffic signal control policy improvement
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2407.06025.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T23:41:31.442791Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T20:56:14.120373Z
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 dd11d92f-887e-4a1d-8993-14f77924d762 · inbound
Exploring Traffic Simulation and Cybersecurity Strategies Using Large Language Models cites this paper.
Exploring Traffic Simulation and Cybersecurity Strategies Using Large Language Models iLLM-TSC: Integration reinforcement learning and large language model for traffic signal control policy improvement
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:41:31.442791Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 05c7dbbf-e58e-4880-8a70-27f750e25426 · 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 iLLM-TSC: Integration reinforcement learning and large language model for traffic signal control policy improvement
Reference 128
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:07:11.067959Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7c42d6f5-becd-4159-bdfc-9ca99d52ee0a · inbound
Accelerating Reinforcement Learning Algorithms Convergence using Pre-trained Large Language Models as Tutors With Advice Reusing cites this paper.
Accelerating Reinforcement Learning Algorithms Convergence using Pre-trained Large Language Models as Tutors With Advice Reusing iLLM-TSC: Integration reinforcement learning and large language model for traffic signal control policy improvement
Reference 82
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T20:49:37.878308Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 91ec017b-37f7-41dd-a340-eeac2b27ca41 · inbound
Earth Science Foundation Models: From Perception to Reasoning and Discovery cites this paper.
Earth Science Foundation Models: From Perception to Reasoning and Discovery iLLM-TSC: Integration reinforcement learning and large language model for traffic signal control policy improvement
Reference 239
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:08:03.162679Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2ab0435d-9822-450e-acdd-b1c2d85bcc38 · inbound
Earth Science Foundation Models: From Perception to Reasoning and Discovery cites this paper.
Earth Science Foundation Models: From Perception to Reasoning and Discovery iLLM-TSC: Integration reinforcement learning and large language model for traffic signal control policy improvement
Reference 239
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T13:35:46.004084Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 23f338d7-709f-4c26-b60a-38556db4640f · 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 iLLM-TSC: Integration reinforcement learning and large language model for traffic signal control policy improvement
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T07:33:13.312388Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b8da3733-0e94-4b1d-a2cc-50d9130f8b50 · 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 iLLM-TSC: Integration reinforcement learning and large language model for traffic signal control policy improvement
Reference 60
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T20:56:14.121861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.