Paper Citation Record · LEDGER

Efficient Learning of Vehicle Controller Parameters via Multi-Fidelity Bayesian Optimization: From Simulation to Experiment

As of 15 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2506.08719.

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

pith.paper-citation-record.v1
2506.08719 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:08:57.403383Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

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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

34 of 34 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9ff17cdb-eb20-4034-b673-962a778335e9 · outbound

This paper cites Impact of digital trans- formation on the automotive industry,.

Efficient Learning of Vehicle Controller Parameters via Multi-Fidelity Bayesian Optimization: From Simulation to Experiment Impact of digital trans- formation on the automotive industry,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:09:05.945553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4e0d206a-7594-497e-b604-23c3add963b9 · outbound

This paper cites Intelligent Vehicle Sys- tems: Applications and New Trends,.

Efficient Learning of Vehicle Controller Parameters via Multi-Fidelity Bayesian Optimization: From Simulation to Experiment Intelligent Vehicle Sys- tems: Applications and New Trends,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:09:05.672673Z

Source-reported events for the cited work

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Observation 3d6f81b8-f1d0-44fd-b21c-f9c519d4c563 · outbound

This paper cites The new V-Model of VDI 2206 and its validation,.

Efficient Learning of Vehicle Controller Parameters via Multi-Fidelity Bayesian Optimization: From Simulation to Experiment The new V-Model of VDI 2206 and its validation,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:09:05.395367Z

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Observation 289ca475-8dd1-49e0-904a-78ff6541df77 · outbound

This paper cites Effects of Model Complexity on the Performance of Automated Vehicle Steering Controllers: Model Development, Validation and Comparison,.

Efficient Learning of Vehicle Controller Parameters via Multi-Fidelity Bayesian Optimization: From Simulation to Experiment Effects of Model Complexity on the Performance of Automated Vehicle Steering Controllers: Model Development, Validation and Comparison,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:09:05.139128Z

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Observation e024347b-33e0-49b3-b99b-9198898b7d42 · outbound

This paper cites Advanced driver assistance systems: Objective and subjective perfor- mance evaluation,.

Efficient Learning of Vehicle Controller Parameters via Multi-Fidelity Bayesian Optimization: From Simulation to Experiment Advanced driver assistance systems: Objective and subjective perfor- mance evaluation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:09:04.914691Z

Source-reported events for the cited work

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Observation 0c561fa6-f0fd-4155-91f6-55ec12e098a8 · outbound

This paper cites Optimum Settings for Automatic Controllers,.

Efficient Learning of Vehicle Controller Parameters via Multi-Fidelity Bayesian Optimization: From Simulation to Experiment Optimum Settings for Automatic Controllers,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:09:04.674380Z

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Observation 7d6b433d-982f-481d-ad77-53b613433c61 · outbound

This paper cites Iterative feedback tuning: theory and applications,.

Efficient Learning of Vehicle Controller Parameters via Multi-Fidelity Bayesian Optimization: From Simulation to Experiment Iterative feedback tuning: theory and applications,

Reference 7

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Source-reported events for the cited work

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Observation 7db184df-ae4f-46fa-b738-56fe38c13154 · outbound

This paper cites PID tuning using extremum seeking: online, model-free performance optimization,.

Efficient Learning of Vehicle Controller Parameters via Multi-Fidelity Bayesian Optimization: From Simulation to Experiment PID tuning using extremum seeking: online, model-free performance optimization,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:09:04.494878Z

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Observation 43a61ed5-18ad-4f77-baa5-752ab8cebb2f · outbound

This paper cites Genetic tuning of digital PID controllers,.

Efficient Learning of Vehicle Controller Parameters via Multi-Fidelity Bayesian Optimization: From Simulation to Experiment Genetic tuning of digital PID controllers,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:09:04.299037Z

Source-reported events for the cited work

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Observation a4b158fc-7736-48be-986e-42d272a7162e · outbound

This paper cites A particle swarm optimization approach for optimum design of PID controller in A VR system,.

Efficient Learning of Vehicle Controller Parameters via Multi-Fidelity Bayesian Optimization: From Simulation to Experiment A particle swarm optimization approach for optimum design of PID controller in A VR system,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:09:04.031676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b40a66a4-0305-4661-a5bb-d8961083d0c2 · outbound

This paper cites Data-Efficient Autotuning With Bayesian Optimization: An Industrial Control Study,.

Efficient Learning of Vehicle Controller Parameters via Multi-Fidelity Bayesian Optimization: From Simulation to Experiment Data-Efficient Autotuning With Bayesian Optimization: An Industrial Control Study,

Reference 11

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Source-reported events for the cited work

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Observation d62dbd1d-3555-4780-a585-f191ffe2a673 · outbound

This paper cites Learning Energy-Efficient Trajectory Planning for Robotic Manipulators Using Bayesian Optimization,.

Efficient Learning of Vehicle Controller Parameters via Multi-Fidelity Bayesian Optimization: From Simulation to Experiment Learning Energy-Efficient Trajectory Planning for Robotic Manipulators Using Bayesian Optimization,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:09:03.515039Z

Source-reported events for the cited work

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Observation ac8ab08d-618e-4508-8ccb-bf8c09e2b6d7 · outbound

This paper cites Stability- informed Bayesian Optimization for MPC Cost Function Learning,.

Efficient Learning of Vehicle Controller Parameters via Multi-Fidelity Bayesian Optimization: From Simulation to Experiment Stability- informed Bayesian Optimization for MPC Cost Function Learning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:09:03.252898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4d917ae5-261b-435b-a780-5224a4e6ccf8 · outbound

This paper cites Time-Series-Informed Closed-loop Learning for Sequential Decision Making and Control,.

Efficient Learning of Vehicle Controller Parameters via Multi-Fidelity Bayesian Optimization: From Simulation to Experiment Time-Series-Informed Closed-loop Learning for Sequential Decision Making and Control,

Reference 14

Resolution: verified exact; raw_fallback, observed 2026-08-07T05:08:57.844793Z

Source-reported events for the cited work

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Observation 35eca206-88cf-4300-b50a-5ba23374dfa2 · outbound

This paper cites Safe Learning-Based Optimization of Model Predictive Control: Application to Battery Fast-Charging,.

Efficient Learning of Vehicle Controller Parameters via Multi-Fidelity Bayesian Optimization: From Simulation to Experiment Safe Learning-Based Optimization of Model Predictive Control: Application to Battery Fast-Charging,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:09:03.000400Z

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Observation 204baf5e-35ff-4068-92b4-d7ed05150920 · outbound

This paper cites Automatic Gait Optimization with Gaussian Process Regression,.

Efficient Learning of Vehicle Controller Parameters via Multi-Fidelity Bayesian Optimization: From Simulation to Experiment Automatic Gait Optimization with Gaussian Process Regression,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:09:02.716857Z

Source-reported events for the cited work

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Observation 722425e0-b432-4c98-bed1-7c0fc5c179fd · outbound

This paper cites Gaussian Process Bandit Optimisation with Multi-Fidelity Evalua- tions,.

Efficient Learning of Vehicle Controller Parameters via Multi-Fidelity Bayesian Optimization: From Simulation to Experiment Gaussian Process Bandit Optimisation with Multi-Fidelity Evalua- tions,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:09:02.413799Z

Source-reported events for the cited work

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Observation 46cf77b6-dcfe-4bf4-a7f8-0d97b7de1f7d · outbound

This paper cites Virtual vs. real: Trading off simulations and physical experiments in reinforcement learning with Bayesian optimization,.

Efficient Learning of Vehicle Controller Parameters via Multi-Fidelity Bayesian Optimization: From Simulation to Experiment Virtual vs. real: Trading off simulations and physical experiments in reinforcement learning with Bayesian optimization,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation eaad8d17-78f1-44bd-adbb-66433130da31 · outbound

This paper cites Recent advances in Bayesian optimization,.

Efficient Learning of Vehicle Controller Parameters via Multi-Fidelity Bayesian Optimization: From Simulation to Experiment Recent advances in Bayesian optimization,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:09:01.969770Z

Source-reported events for the cited work

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Observation 99b07cfd-8454-47e0-b35f-07a4d7d00b14 · outbound

This paper cites Pacejka,Tire and Vehicle Dynamics, 2nd ed.

Efficient Learning of Vehicle Controller Parameters via Multi-Fidelity Bayesian Optimization: From Simulation to Experiment Pacejka,Tire and Vehicle Dynamics, 2nd ed

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:09:01.667586Z

Source-reported events for the cited work

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Observation 628adf6e-3b03-40df-94a3-6c9646bb6fd4 · outbound

This paper cites Zeitoptimale Trajektorienplanung f ¨ur automatisiertes Fahren bis in den fahrdynamischen Grenzbereich,.

Efficient Learning of Vehicle Controller Parameters via Multi-Fidelity Bayesian Optimization: From Simulation to Experiment Zeitoptimale Trajektorienplanung f ¨ur automatisiertes Fahren bis in den fahrdynamischen Grenzbereich,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:09:01.449534Z

Source-reported events for the cited work

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Observation b0f41e16-fff4-4521-9b2a-f7eb4e10a3be · outbound

This paper cites Learning Delta Policies For Automated Driving Via Reinforcement Learning,.

Efficient Learning of Vehicle Controller Parameters via Multi-Fidelity Bayesian Optimization: From Simulation to Experiment Learning Delta Policies For Automated Driving Via Reinforcement Learning,

Reference 22

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a4cf0e85-e63a-497e-8fd6-9f807e67e3dd · outbound

This paper cites an unresolved cited work.

Efficient Learning of Vehicle Controller Parameters via Multi-Fidelity Bayesian Optimization: From Simulation to Experiment Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:09:01.043764Z

Source-reported events for the cited work

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Observation f0cdd241-8de1-4b68-aa48-d318a1f2aeb9 · outbound

This paper cites Predicting the Output from a Complex Computer Code When Fast Approximations Are Available,.

Efficient Learning of Vehicle Controller Parameters via Multi-Fidelity Bayesian Optimization: From Simulation to Experiment Predicting the Output from a Complex Computer Code When Fast Approximations Are Available,

Reference 24

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Source-reported events for the cited work

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Observation 28df06d7-8585-4832-a407-a920f2be9ece · outbound

This paper cites Recursive co-kriging model for Design of Computer experiments with multiple levels of fidelity,.

Efficient Learning of Vehicle Controller Parameters via Multi-Fidelity Bayesian Optimization: From Simulation to Experiment Recursive co-kriging model for Design of Computer experiments with multiple levels of fidelity,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:09:00.517086Z

Source-reported events for the cited work

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Observation 17e7dc0e-54ae-41ed-9baa-5435ff6033a3 · outbound

This paper cites Nonlinear information fusion algorithms for data-efficient multi-fidelity modelling,.

Efficient Learning of Vehicle Controller Parameters via Multi-Fidelity Bayesian Optimization: From Simulation to Experiment Nonlinear information fusion algorithms for data-efficient multi-fidelity modelling,

Reference 26

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Source-reported events for the cited work

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Observation d65d906e-b36e-4665-86a5-c2b568885cc1 · outbound

This paper cites Garnett,Bayesian Optimization.

Efficient Learning of Vehicle Controller Parameters via Multi-Fidelity Bayesian Optimization: From Simulation to Experiment Garnett,Bayesian Optimization

Reference 27

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Source-reported events for the cited work

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Observation b4b0d3ba-275d-4e2a-b7f0-f4a2317f49e7 · outbound

This paper cites Gaussian Pro- cess Regression: Active Data Selection and Test Point Rejection,.

Efficient Learning of Vehicle Controller Parameters via Multi-Fidelity Bayesian Optimization: From Simulation to Experiment Gaussian Pro- cess Regression: Active Data Selection and Test Point Rejection,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:08:59.895800Z

Source-reported events for the cited work

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Observation f6b9a0f0-3f3e-416e-b085-a4ec74c8acc1 · outbound

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Efficient Learning of Vehicle Controller Parameters via Multi-Fidelity Bayesian Optimization: From Simulation to Experiment BoTorch: A Framework for Efficient Monte- Carlo Bayesian Optimization,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:08:59.602989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 42d2d2b2-e453-4928-9603-44c0b14855d6 · outbound

This paper cites Practical Bayesian Op- timization of Machine Learning Algorithms,.

Efficient Learning of Vehicle Controller Parameters via Multi-Fidelity Bayesian Optimization: From Simulation to Experiment Practical Bayesian Op- timization of Machine Learning Algorithms,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:08:59.362484Z

Source-reported events for the cited work

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Observation 95da2111-f858-4ce8-acc1-8bb34d6cea6d · outbound

This paper cites Emukit: A Python toolkit for decision making under uncertainty,.

Efficient Learning of Vehicle Controller Parameters via Multi-Fidelity Bayesian Optimization: From Simulation to Experiment Emukit: A Python toolkit for decision making under uncertainty,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:08:58.992487Z

Source-reported events for the cited work

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Observation 288a7a21-a86f-4126-ae18-543937f9e86e · outbound

This paper cites Safe learning of regions of attraction for uncertain, nonlinear systems with Gaussian processes,.

Efficient Learning of Vehicle Controller Parameters via Multi-Fidelity Bayesian Optimization: From Simulation to Experiment Safe learning of regions of attraction for uncertain, nonlinear systems with Gaussian processes,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:08:58.681816Z

Source-reported events for the cited work

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Observation 6b219fef-086f-444a-9628-6ab0383b8504 · outbound

This paper cites Safe Bayesian Optimization Using Interior-Point Methods—Applied to Personalized Insulin Dose Guidance,.

Efficient Learning of Vehicle Controller Parameters via Multi-Fidelity Bayesian Optimization: From Simulation to Experiment Safe Bayesian Optimization Using Interior-Point Methods—Applied to Personalized Insulin Dose Guidance,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:08:58.396168Z

Source-reported events for the cited work

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Observation bc1e0c1b-e759-46e9-9082-e69a5117a3cf · outbound

This paper cites Safe and Stable Closed- Loop Learning for Neural-Network-Supported Model Predictive Con- trol,.

Efficient Learning of Vehicle Controller Parameters via Multi-Fidelity Bayesian Optimization: From Simulation to Experiment Safe and Stable Closed- Loop Learning for Neural-Network-Supported Model Predictive Con- trol,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:08:58.130214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

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