Paper Citation Record · LEDGER

Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback

As of 8 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2505.21349.

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

pith.paper-citation-record.v1
2505.21349 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:35:54.306166Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

39 of 39 outbound references displayed

verified exact13
verified fuzzy1
unresolved18
parse uncertain0
malformed identifier4
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eced6853-73e3-45c0-a574-24ab898f1acc · outbound

This paper cites LLMScenario: Large Language Model Driven Scenario Generation.

Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback LLMScenario: Large Language Model Driven Scenario Generation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T13:35:50.914315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6adb36f-f580-49f1-8d85-9dd39d6b69cd · outbound

This paper cites Purpose in the Machine: Do Traffic Simulators Produce Distributionally Equivalent Outcomes for Reinforcement Learning Applications?.

Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback Purpose in the Machine: Do Traffic Simulators Produce Distributionally Equivalent Outcomes for Reinforcement Learning Applications?

Reference 10

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T13:35:59.149888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 275b34c5-6d0c-4ab7-9bcf-0184c49ea6b0 · outbound

This paper cites Prompt to transfer: sim-to-real transfer for traffic signal control with prompt learning.

Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback Prompt to transfer: sim-to-real transfer for traffic signal control with prompt learning

Reference 13

Resolution: verified exact; doi, observed 2026-08-07T13:35:56.038170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b04be91d-e60b-4cec-bb9c-e8b28ba92b0e · outbound

This paper cites AutoReward: Closed-Loop Reward Design with Large Language Models for Autonomous Driving.

Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback AutoReward: Closed-Loop Reward Design with Large Language Models for Autonomous Driving

Reference 15

Resolution: malformed identifier; no resolver link, observed 2026-08-07T13:35:51.571387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 963ce164-0986-4940-8999-8be32badb30d · outbound

This paper cites Multi-Agent Multimodal Transportation Simulation for Mega-cities: Application of Los Angeles.

Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback Multi-Agent Multimodal Transportation Simulation for Mega-cities: Application of Los Angeles

Reference 16

Resolution: verified exact; doi, observed 2026-08-07T13:35:55.870291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f6024282-d103-4a33-97ff-8d11fcdb347d · outbound

This paper cites A Demand Modelling Pipeline for an Agent-Based Traffic Simulation of the City of Barcelona.

Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback A Demand Modelling Pipeline for an Agent-Based Traffic Simulation of the City of Barcelona

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T13:35:51.897732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fc11f0b-869f-46a5-813a-a7890db00c1f · outbound

This paper cites ChatSUMO: Large Language Model for Automating Traffic Scenario Generation in Simulation of Urban MObility.

Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback ChatSUMO: Large Language Model for Automating Traffic Scenario Generation in Simulation of Urban MObility

Reference 19

Resolution: malformed identifier; no resolver link, observed 2026-08-07T13:35:52.054739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf5f4772-faaa-4169-9e4c-7e7f3fc716e5 · outbound

This paper cites Effects of fog, snow, and rain on video detection systems at intersections.

Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback Effects of fog, snow, and rain on video detection systems at intersections

Reference 21

Resolution: verified exact; doi, observed 2026-08-07T13:35:55.479303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b93563fc-507b-494c-9c28-c7c146edfb09 · outbound

This paper cites Libsignal: an open library for traffic signal control.

Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback Libsignal: an open library for traffic signal control

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T13:35:52.314740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67cccded-aea1-49b0-bb80-b4d90191b185 · outbound

This paper cites Towards Real-World Deployment of Reinforcement Learning for Traffic Signal Control.

Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback Towards Real-World Deployment of Reinforcement Learning for Traffic Signal Control

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T13:35:52.554757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6d9c11c-5dce-41ee-b483-98cce7cb70d4 · outbound

This paper cites Advanced Traffic Demand Generation in SUMO: ML-based Prediction of Flow Rate based on Real-world Measured Datasets.

Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback Advanced Traffic Demand Generation in SUMO: ML-based Prediction of Flow Rate based on Real-world Measured Datasets

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T13:35:52.638539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b29c02e0-1f2c-4a6a-a3eb-192454f38d93 · outbound

This paper cites Vehicular traffic simulation in the city of Turin from raw data.

Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback Vehicular traffic simulation in the city of Turin from raw data

Reference 26

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T13:35:57.994729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 929fe85c-cb15-4021-9a5b-fa8ee41c8cda · outbound

This paper cites Reflexion: Language Agents with Verbal Reinforcement Learning.

Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback Reflexion: Language Agents with Verbal Reinforcement Learning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T13:35:53.045711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 688d09d9-137b-4da3-91f5-86167abde0c0 · outbound

This paper cites Optimizing Autonomous Driving for Safety: A Human-Centric Approach with LLM-Enhanced RLHF.

Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback Optimizing Autonomous Driving for Safety: A Human-Centric Approach with LLM-Enhanced RLHF

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T13:35:53.159604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e29683a5-5a25-4928-9897-39734dea3686 · outbound

This paper cites Vehicle Counting using Computer Vision: A Survey.

Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback Vehicle Counting using Computer Vision: A Survey

Reference 30

Resolution: verified exact; raw_fallback, observed 2026-08-07T13:35:57.496504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e9564c40-7576-43db-92a1-7fddbc95dac5 · outbound

This paper cites LLM-Assisted Light: Leveraging Large Language Model Capabilities for Human-Mimetic Traffic Signal Control in Complex Urban Environments.

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 b9ae32bf-5cdd-46fb-b748-97a102e6c047 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T13:35:53.691081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed923797-a35b-4c08-aac2-90e8807ac941 · outbound

This paper cites Hierarchically and cooperatively learning traffic signal control.

Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback Hierarchically and cooperatively learning traffic signal control

Reference 36

Resolution: verified exact; doi, observed 2026-08-07T13:35:54.490492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 22fbf369-f7ae-466a-9c9d-254f1cf5bf84 · outbound

This paper cites CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario.

Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T13:35:54.019164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3b57be3-2bfa-4cd7-8e1e-ce0e0790985a · outbound

This paper cites Learning Phase Competition for Traffic Signal Control.

Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback Learning Phase Competition for Traffic Signal Control

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T13:35:54.127352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f389f27c-df88-4859-ba1f-935803f4cd40 · outbound

This paper cites Fine-Tuning Language Models from Human Preferences.

Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback Fine-Tuning Language Models from Human Preferences

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T13:35:54.306166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a923a329-1b3f-410d-aeec-4fd07d195b4d · outbound

This paper cites A real-time computer vision system for vehicle tracking and traffic surveillance.

Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback A real-time computer vision system for vehicle tracking and traffic surveillance

Reference 1991

Resolution: verified exact; doi, observed 2026-08-07T13:35:55.165954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cbca92db-b88f-41f3-93a5-3bdcf86e5665 · outbound

This paper cites Evaluation of Stop Bar Video Detection Accuracy at Signalized Intersections.

Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback Evaluation of Stop Bar Video Detection Accuracy at Signalized Intersections

Reference 2005

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:59.528950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 346cf357-776a-4f5e-b147-30469bd8b56a · outbound

This paper cites Models, Traffic Models, Simulation, and Traffic Simulation.

Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback Models, Traffic Models, Simulation, and Traffic Simulation

Reference 2010

Resolution: verified exact; doi, observed 2026-08-07T13:35:56.875934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9b3ff556-4573-4932-ab8b-fa7ec725233b · outbound

This paper cites Non-Local Means Denoising.

Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback Non-Local Means Denoising

Reference 2011

Resolution: verified exact; doi, observed 2026-08-07T13:35:56.324213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f8ff7588-c3b5-4167-9aee-9f426b84187e · outbound

This paper cites Identifying chronic splashover errors at freeway loop detectors.

Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback Identifying chronic splashover errors at freeway loop detectors

Reference 2012

Resolution: verified exact; doi, observed 2026-08-07T13:35:55.682748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e803cf20-27db-44d0-819e-1ccb1424b201 · outbound

This paper cites Length-Based Vehicle Classification Schemes and Length Bin Boundaries.

Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback Length-Based Vehicle Classification Schemes and Length Bin Boundaries

Reference 2013

Resolution: verified exact; doi, observed 2026-08-07T13:35:54.751177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7768a46e-9621-4107-a0f7-8806c254276f · outbound

This paper cites Traffic Simulation for All: A Real World Traffic Scenario from the City of Bologna.

Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback Traffic Simulation for All: A Real World Traffic Scenario from the City of Bologna

Reference 2014

Resolution: verified exact; doi, observed 2026-08-07T13:35:56.681373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 97924dbc-fe29-41c0-ab52-dbca74753a07 · outbound

This paper cites Luxembourg SUMO Traffic (LuST) Scenario: 24 hours of mobility for vehicular networking research.

Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback Luxembourg SUMO Traffic (LuST) Scenario: 24 hours of mobility for vehicular networking research

Reference 2015

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T13:35:58.917316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f0591423-032c-4fab-82da-a5c264187039 · outbound

This paper cites CVXPY: A Python-embedded modeling language for convex optimization.

Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback CVXPY: A Python-embedded modeling language for convex optimization

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-07T13:35:51.501508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d03e7177-e4c6-4816-9b37-c2943fe5139e · outbound

This paper cites Towards multimodal mobility simulation of C-ITS: The Monaco SUMO traffic scenario.

Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback Towards multimodal mobility simulation of C-ITS: The Monaco SUMO traffic scenario

Reference 2017

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T13:35:58.737179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ff3c4bf4-315b-4097-9563-e997cbf2a7d3 · outbound

This paper cites Microscopic Traffic Simulation using SUMO.

Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback Microscopic Traffic Simulation using SUMO

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-07T13:35:49.957927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 235ed8af-63ac-40a9-b3c1-6a1d1e25d533 · outbound

This paper cites A Comparative Study of State-of-the-Art Deep Learning Algorithms for Vehicle Detection.

Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback A Comparative Study of State-of-the-Art Deep Learning Algorithms for Vehicle Detection

Reference 2019

Resolution: verified exact; doi, observed 2026-08-07T13:35:54.987113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 79ca5fb3-e404-4b18-83df-5f8dc0af5cd7 · outbound

This paper cites InTAS - The Ingolstadt Traffic Scenario for SUMO.

Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback InTAS - The Ingolstadt Traffic Scenario for SUMO

Reference 2020

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T13:35:59.801040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e68b91f7-0e22-469d-8957-937d48e8d482 · outbound

This paper cites Program Synthesis with Large Language Models.

Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback Program Synthesis with Large Language Models

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T13:35:50.107890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c270ace7-32ce-4843-b273-1b98d5e10e7c · outbound

This paper cites BoT-SORT: Robust Associations Multi-Pedestrian Tracking.

Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback BoT-SORT: Robust Associations Multi-Pedestrian Tracking

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T13:35:49.846818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46d29196-9bed-4cec-8d1b-e3cda2ae1915 · outbound

This paper cites Simulation-Based Origin-Destination Matrix Reduction: A Case Study of Helsinki City Area.

Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback Simulation-Based Origin-Destination Matrix Reduction: A Case Study of Helsinki City Area

Reference 2023

Resolution: verified exact; doi, observed 2026-08-07T13:35:56.471356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e35fa9b4-ffa0-4052-b9dc-3333e5dd2e44 · outbound

This paper cites A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health.

Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T13:35:50.384746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54784332-c987-4e67-9995-76f17752f78b · outbound

This paper cites BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions.

Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T13:35:54.213962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.