Paper Citation Record · LEDGER

GraphTrafficGPT: Enhancing Traffic Management Through Graph-Based AI Agent Coordination

As of 19 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2507.13511.

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

pith.paper-citation-record.v1
2507.13511 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:26:36.976669Z

measured 18 of 18 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

18 of 18 outbound references displayed

verified exact2
verified fuzzy5
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b5069769-eefc-4104-8b4e-f9f1704bd8bc · outbound

This paper cites A Comparative Study of Open-Source Large Language Models, GPT-4 and Claude 2: Multiple-Choice Test Taking in Nephrology.

GraphTrafficGPT: Enhancing Traffic Management Through Graph-Based AI Agent Coordination A Comparative Study of Open-Source Large Language Models, GPT-4 and Claude 2: Multiple-Choice Test Taking in Nephrology

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T16:26:36.921060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f0a33f9-30a6-45b3-be93-0c0b04c58a8d · outbound

This paper cites ChatGPT is on the Horizon: Could a Large Language Model be Suitable for Intelligent Traffic Safety Research and Applications?.

GraphTrafficGPT: Enhancing Traffic Management Through Graph-Based AI Agent Coordination ChatGPT is on the Horizon: Could a Large Language Model be Suitable for Intelligent Traffic Safety Research and Applications?

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T16:26:36.925341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a268864-13f9-4ccb-ab47-900ce284dff0 · outbound

This paper cites AccidentGPT: Large Multi-Modal Foundation Model for Traffic Accident Analysis.

GraphTrafficGPT: Enhancing Traffic Management Through Graph-Based AI Agent Coordination AccidentGPT: Large Multi-Modal Foundation Model for Traffic Accident Analysis

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T16:26:36.928846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbba4501-a4ab-4b6a-80c1-04a5a28fc5ba · outbound

This paper cites LLMLight: Large Language Models as Traffic Signal Control Agents.

GraphTrafficGPT: Enhancing Traffic Management Through Graph-Based AI Agent Coordination LLMLight: Large Language Models as Traffic Signal Control Agents

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T16:26:36.932243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13bc8b60-602d-4f44-a602-b35ef75be2f6 · outbound

This paper cites Language conditioned traffic generation,.

GraphTrafficGPT: Enhancing Traffic Management Through Graph-Based AI Agent Coordination Language conditioned traffic generation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:26:37.194230Z

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 7723adb9-9216-4a32-84aa-a8c4395de02a · outbound

This paper cites TrafficSafetyGPT: Tuning a Pre-trained Large Language Model to a Domain-Specific Expert in Transportation Safety.

GraphTrafficGPT: Enhancing Traffic Management Through Graph-Based AI Agent Coordination TrafficSafetyGPT: Tuning a Pre-trained Large Language Model to a Domain-Specific Expert in Transportation Safety

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T16:26:36.939281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3f294e7-17b2-4013-96ac-648030ac6d79 · outbound

This paper cites ChatSUMO: Large language model for automating traffic scenario generation in simulation of urban mobility,.

GraphTrafficGPT: Enhancing Traffic Management Through Graph-Based AI Agent Coordination ChatSUMO: Large language model for automating traffic scenario generation in simulation of urban mobility,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:26:37.183176Z

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 8f5ae38b-34a2-48ae-bd74-e9a5fd94896e · outbound

This paper cites Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning.

GraphTrafficGPT: Enhancing Traffic Management Through Graph-Based AI Agent Coordination Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T16:26:36.945954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58bf715e-342d-4b90-a2b4-d310c2442cd0 · outbound

This paper cites Can ChatGPT Enable ITS? The Case of Mixed Traffic Control via Reinforcement Learning.

GraphTrafficGPT: Enhancing Traffic Management Through Graph-Based AI Agent Coordination Can ChatGPT Enable ITS? The Case of Mixed Traffic Control via Reinforcement Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T16:26:36.949209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0002a3c2-2c46-4e6d-9dcb-4529eed7a3ac · outbound

This paper cites Traffic Performance GPT (TP-GPT): Real-Time Data Informed Intelligent ChatBot for Transportation Surveillance and Management.

GraphTrafficGPT: Enhancing Traffic Management Through Graph-Based AI Agent Coordination Traffic Performance GPT (TP-GPT): Real-Time Data Informed Intelligent ChatBot for Transportation Surveillance and Management

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T16:26:36.952248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00f352dc-0683-4406-9377-8802b3007c77 · outbound

This paper cites TrafficGPT: Viewing, Processing and Interacting with Traffic Foundation Models.

GraphTrafficGPT: Enhancing Traffic Management Through Graph-Based AI Agent Coordination TrafficGPT: Viewing, Processing and Interacting with Traffic Foundation Models

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:26:37.052591Z

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 0df7b549-d6bc-431d-9589-641d3c31404b · outbound

This paper cites Exploring the Roles of Large Language Models in Reshaping Transportation Systems: A Survey, Framework, and Roadmap.

GraphTrafficGPT: Enhancing Traffic Management Through Graph-Based AI Agent Coordination Exploring the Roles of Large Language Models in Reshaping Transportation Systems: A Survey, Framework, and Roadmap

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:26:37.035487Z

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 87fa0082-1e73-49ed-8461-ae7c0a3e9aab · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

GraphTrafficGPT: Enhancing Traffic Management Through Graph-Based AI Agent Coordination Chain-of-thought prompting elicits reasoning in large language models,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T16:26:36.961597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a970184-0ea0-417a-9b43-b56e5d46db54 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

GraphTrafficGPT: Enhancing Traffic Management Through Graph-Based AI Agent Coordination ReAct: Synergizing Reasoning and Acting in Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T16:26:36.964876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1cccac2-7244-4ec2-845c-a4b2bafacf5a · outbound

This paper cites Graph of Thoughts: Solving Elaborate Problems with Large Language Models.

GraphTrafficGPT: Enhancing Traffic Management Through Graph-Based AI Agent Coordination Graph of Thoughts: Solving Elaborate Problems with Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T16:26:36.967990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54e328fd-c4a8-4c39-bcc6-bcc5352c849f · outbound

This paper cites GraphRAG: Unlocking LLM discovery on narra- tive private data,.

GraphTrafficGPT: Enhancing Traffic Management Through Graph-Based AI Agent Coordination GraphRAG: Unlocking LLM discovery on narra- tive private data,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:26:37.166456Z

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 47f8252a-2cf6-4619-9dea-fe9018293961 · outbound

This paper cites Graph-based versus sequential approaches for traffic simulation with large language models,.

GraphTrafficGPT: Enhancing Traffic Management Through Graph-Based AI Agent Coordination Graph-based versus sequential approaches for traffic simulation with large language models,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:26:37.155531Z

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 3adf3698-9e02-4439-a946-8f0a963db35d · outbound

This paper cites Comparative analysis of chain-based and graph-based LLM architec- tures for complex reasoning tasks,.

GraphTrafficGPT: Enhancing Traffic Management Through Graph-Based AI Agent Coordination Comparative analysis of chain-based and graph-based LLM architec- tures for complex reasoning tasks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:26:37.143719Z

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.

Pith citing papers

No inbound Pith citation observations are available.