Paper Citation Record · LEDGER

Lipschitz Safe Bayesian Optimization for Automotive Control

As of 19 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2501.12969.

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

pith.paper-citation-record.v1
2501.12969 v2

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:41:33.697690Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

25 of 25 outbound references displayed

verified exact1
verified fuzzy22
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4b87c794-4558-4e41-9929-1d086b6fa92e · outbound

This paper cites Data-efficient autotuning with bayesian optimization: An industrial control study,.

Lipschitz Safe Bayesian Optimization for Automotive Control Data-efficient autotuning with bayesian optimization: An industrial control study,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:33.990175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 83445414-cb2e-437e-a140-ae345e4d3571 · outbound

This paper cites Benchmark of Bayesian Optimization and Metaheuristics for Control Engineering Tuning Problems with Crash Constraints.

Lipschitz Safe Bayesian Optimization for Automotive Control Benchmark of Bayesian Optimization and Metaheuristics for Control Engineering Tuning Problems with Crash Constraints

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-10T16:41:33.745367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 95063a1c-8802-4b54-a18b-c63f7da86aa6 · outbound

This paper cites A tutorial on derivative-free policy learning methods for interpretable controller representations,.

Lipschitz Safe Bayesian Optimization for Automotive Control A tutorial on derivative-free policy learning methods for interpretable controller representations,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:33.980005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f4469b2a-e233-4b0e-9fd9-c94bdf744b0e · outbound

This paper cites Garnett, Bayesian optimization.

Lipschitz Safe Bayesian Optimization for Automotive Control Garnett, Bayesian optimization

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:33.969510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1821ed93-9910-450c-8093-4cb80b8143dd · outbound

This paper cites Contextual tuning of model predictive control for autonomous racing,.

Lipschitz Safe Bayesian Optimization for Automotive Control Contextual tuning of model predictive control for autonomous racing,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:33.959705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e49ea8fd-db93-44d3-a3b4-f63d5f1dec15 · outbound

This paper cites Performance-based trajectory optimization for path following control using bayesian optimization,.

Lipschitz Safe Bayesian Optimization for Automotive Control Performance-based trajectory optimization for path following control using bayesian optimization,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:33.949142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 632d8a29-102c-4026-82a4-fd0d0ab08aa2 · outbound

This paper cites A model-free algorithm to safely approach the handling limit of an autonomous racecar,.

Lipschitz Safe Bayesian Optimization for Automotive Control A model-free algorithm to safely approach the handling limit of an autonomous racecar,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:33.938794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d91bfa11-6a0b-4027-89bd-0aa7b0a65254 · outbound

This paper cites Safe learning and optimization techniques: Towards a survey of the state of the art,.

Lipschitz Safe Bayesian Optimization for Automotive Control Safe learning and optimization techniques: Towards a survey of the state of the art,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:33.928711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9d8d28b1-6107-4c4f-818a-7ecf0ed66037 · outbound

This paper cites Safe exploration for optimization with Gaussian processes,.

Lipschitz Safe Bayesian Optimization for Automotive Control Safe exploration for optimization with Gaussian processes,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:33.918595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2d1a16fc-5679-4249-8c36-fec2004c712e · outbound

This paper cites Safe exploration for interactive machine learning,.

Lipschitz Safe Bayesian Optimization for Automotive Control Safe exploration for interactive machine learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:33.908232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f2d41018-e74b-4851-801c-1ffebb084a31 · outbound

This paper cites Adaptive and safe Bayesian optimization in high dimensions via one-dimensional subspaces,.

Lipschitz Safe Bayesian Optimization for Automotive Control Adaptive and safe Bayesian optimization in high dimensions via one-dimensional subspaces,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:33.897909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d7094294-303b-48d5-a9e1-987ed7f077e2 · outbound

This paper cites Information-theoretic safe exploration with gaussian processes,.

Lipschitz Safe Bayesian Optimization for Automotive Control Information-theoretic safe exploration with gaussian processes,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:33.887251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 385af81f-bff6-4f39-a331-d0d779c8f69c · outbound

This paper cites Gosafeopt: Scalable safe exploration for global optimization of dynamical systems,.

Lipschitz Safe Bayesian Optimization for Automotive Control Gosafeopt: Scalable safe exploration for global optimization of dynamical systems,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:33.876406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 31664da8-291d-4187-983d-8950504c08de · outbound

This paper cites Bayesian optimiza- tion with safety constraints: Safe and automatic parameter tuning in robotics,.

Lipschitz Safe Bayesian Optimization for Automotive Control Bayesian optimiza- tion with safety constraints: Safe and automatic parameter tuning in robotics,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:33.865667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 43c1560e-5368-4416-a5ca-f7035610d8f6 · outbound

This paper cites Stagewise safe Bayesian optimization with Gaussian processes,.

Lipschitz Safe Bayesian Optimization for Automotive Control Stagewise safe Bayesian optimization with Gaussian processes,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:33.854872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 611e0323-bead-4b90-9a87-fed07acc2206 · outbound

This paper cites On Safety in Safe Bayesian Optimization.

Lipschitz Safe Bayesian Optimization for Automotive Control On Safety in Safe Bayesian Optimization

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T16:41:33.664786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01da521e-5638-4c4d-884c-75d87eb89959 · outbound

This paper cites Safe controller optimization for quadrotors with Gaussian processes,.

Lipschitz Safe Bayesian Optimization for Automotive Control Safe controller optimization for quadrotors with Gaussian processes,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:33.844234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bf6b5255-ba36-4d1e-8e77-e00d7a2934e6 · outbound

This paper cites Practical and rigorous uncertainty bounds for gaussian process regression,.

Lipschitz Safe Bayesian Optimization for Automotive Control Practical and rigorous uncertainty bounds for gaussian process regression,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:33.833755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 45e7543b-f748-4275-8f52-91d4c03bee68 · outbound

This paper cites Gaussian pro- cess optimization in the bandit setting: No regret and experimental design,.

Lipschitz Safe Bayesian Optimization for Automotive Control Gaussian pro- cess optimization in the bandit setting: No regret and experimental design,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:33.823287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 79d3aa05-fa9b-47ef-ba4d-8ea8f186f88e · outbound

This paper cites On kernelized multi-armed bandits,.

Lipschitz Safe Bayesian Optimization for Automotive Control On kernelized multi-armed bandits,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:33.812843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7b4013e0-4a8b-4f4b-a9cf-736146108f3c · outbound

This paper cites Gosafe: Globally optimal safe robot learning,.

Lipschitz Safe Bayesian Optimization for Automotive Control Gosafe: Globally optimal safe robot learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:33.801483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a9375816-c762-4517-a46a-7ff0c7f5238f · outbound

This paper cites Safe and efficient model-free adaptive control via Bayesian op- timization,.

Lipschitz Safe Bayesian Optimization for Automotive Control Safe and efficient model-free adaptive control via Bayesian op- timization,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:33.790454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ab3668ba-f426-4d9b-bb8e-da58e8a4be8a · outbound

This paper cites Safe Bayesian optimisation for controller design by utilising the parameter space approach,.

Lipschitz Safe Bayesian Optimization for Automotive Control Safe Bayesian optimisation for controller design by utilising the parameter space approach,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:33.778768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c4848cd8-657a-4caa-a1c3-912310edbfbf · outbound

This paper cites an unresolved cited work.

Lipschitz Safe Bayesian Optimization for Automotive Control Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:41:33.767949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 088f8b7d-d120-4035-8eeb-89aa35b015df · outbound

This paper cites A survey of motion planning and control techniques for self-driving urban vehicles,.

Lipschitz Safe Bayesian Optimization for Automotive Control A survey of motion planning and control techniques for self-driving urban vehicles,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:33.757314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.