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Paper Citation Record · LEDGER

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function

As of 8 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2507.22769.

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

pith.paper-citation-record.v1
2507.22769 v2

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:25:42.181039Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

49 of 49 outbound references displayed

  • verified exact3
  • verified fuzzy35
  • unresolved7
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8331db75-707e-447b-a90f-2a7167374107 · outbound

This paper cites Driving to safety: How many miles of driving would it take to demonstrate autonomous vehicle reliability?.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function Driving to safety: How many miles of driving would it take to demonstrate autonomous vehicle reliability?

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation aabb5f46-1af6-4b09-b8a0-38df6e72018e · outbound

This paper cites A system- atic approach towards the definition of the terms edge case and corner case for automated driving,.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function A system- atic approach towards the definition of the terms edge case and corner case for automated driving,

Reference 2

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c1e7c3dc-0b29-4d5c-9fe7-3fc67d2b3e06 · outbound

This paper cites Finding critical scenarios for automated driving systems: A systematic mapping study,.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function Finding critical scenarios for automated driving systems: A systematic mapping study,

Reference 3

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metadata mismatch
raw_fallback, observed 2026-08-06T11:25:42.463411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ac676f09-9b73-46eb-b0aa-93789b0c0c7b · outbound

This paper cites Challenges in autonomous vehicle testing and validation,.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function Challenges in autonomous vehicle testing and validation,

Reference 4

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 3b6eb8a5-cf04-4d9f-b180-c20f14ba4ff2 · outbound

This paper cites Virtual testing of automated driving systems. a survey on validation methods,.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function Virtual testing of automated driving systems. a survey on validation methods,

Reference 5

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f902323f-b2cc-43aa-a7c0-c6a695d4db08 · outbound

This paper cites On the Need for a Statistical Foundation in Scenario-Based Testing of Autonomous Vehicles.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function On the Need for a Statistical Foundation in Scenario-Based Testing of Autonomous Vehicles

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-06T11:25:42.390751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 697dcb51-125c-4c15-8714-4d430b123dc6 · outbound

This paper cites Addendum 156 – un regulation no. 157 uniform provisions concerning the approval of vehicles with regards to automated lane keeping system,.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function Addendum 156 – un regulation no. 157 uniform provisions concerning the approval of vehicles with regards to automated lane keeping system,

Reference 7

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d005e3dd-ed32-4e16-858f-a7cbec5cf437 · outbound

This paper cites for Standardization of Automation and M.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function for Standardization of Automation and M

Reference 8

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 84f3cdd4-0fea-4d61-85a4-33923e6bdb33 · outbound

This paper cites Validation of x-in-the-loop approaches for virtual homologation of automated driving functions,.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function Validation of x-in-the-loop approaches for virtual homologation of automated driving functions,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:25:42.694986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b0f266ea-1cdd-43a4-8efc-794a0954ae24 · outbound

This paper cites Vehicle-in-virtual-environment (vve) method for autonomous driving system development, evaluation and demonstration,.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function Vehicle-in-virtual-environment (vve) method for autonomous driving system development, evaluation and demonstration,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:25:42.689387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 3459278a-e008-4bd4-92cf-aab89727a9ee · outbound

This paper cites Correlation of software- in-the-loop simulation with physical testing for autonomous driving,.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function Correlation of software- in-the-loop simulation with physical testing for autonomous driving,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:25:42.683029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 8648c2ea-23df-4c10-b5f8-4e77c1998f23 · outbound

This paper cites A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity Simulation.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity Simulation

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T11:25:41.830342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 871b040d-1b06-435c-a49d-cb489523de06 · outbound

This paper cites Gas: Generating fast & accurate surrogate models for simulations of autonomous vehicle systems,.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function Gas: Generating fast & accurate surrogate models for simulations of autonomous vehicle systems,

Reference 13

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 3ac5baea-7b81-4961-a339-c5c5813a639d · outbound

This paper cites Autonovi-sim: Autonomous vehicle simulation platform with weather, sensing, and traffic control,.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function Autonovi-sim: Autonomous vehicle simulation platform with weather, sensing, and traffic control,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:25:42.670464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 834a7ae8-7ba3-41dc-9315-a999abc4af26 · outbound

This paper cites Waymax: An accelerated, data-driven simulator for large-scale autonomous driving research,.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function Waymax: An accelerated, data-driven simulator for large-scale autonomous driving research,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:25:42.663945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:25:42.012144Z digest=sha256:ab4e58c0c5a8621686d8870955c8b60422257c7a6e24eba1734a3f0c0e232f22

Observation e8d1dfae-f995-4df2-a2a5-ee227f790e46 · outbound

This paper cites A Scenario-Based Platform for Testing Autonomous Vehicle Behavior Prediction Models in Simulation.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function A Scenario-Based Platform for Testing Autonomous Vehicle Behavior Prediction Models in Simulation

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-06T11:25:42.355848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 51f83406-fb8b-4f78-abe1-9eaf63dc22b2 · outbound

This paper cites A rule-defined adaptive mpc based motion planner for autonomous driving applications,.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function A rule-defined adaptive mpc based motion planner for autonomous driving applications,

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation fb529380-798f-4666-8e69-a968c6f15866 · outbound

This paper cites Data basis for scenario-based validation of had on high- ways,.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function Data basis for scenario-based validation of had on high- ways,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:25:42.649658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 7d76d66a-b00d-43c9-ae60-f4b0ecbb86b3 · outbound

This paper cites A framework for definition of logical scenarios for safety assurance of automated driving,.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function A framework for definition of logical scenarios for safety assurance of automated driving,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:25:42.641089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b8ff3123-9843-485d-9b3b-bdf54032294b · outbound

This paper cites Pegasus—first steps for the safe introduction of automated driving,.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function Pegasus—first steps for the safe introduction of automated driving,

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-06T11:25:42.632261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ea56a9b7-27e6-4ca7-a6cb-e4e175672250 · outbound

This paper cites Verification & Validation Methods (VVM) for Automated Vehicles,.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function Verification & Validation Methods (VVM) for Automated Vehicles,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:25:42.623653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ed739d6b-1763-4003-85c2-f7b6c2fd7977 · outbound

This paper cites SET Level: Safety for the autonomous mobility of the future,.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function SET Level: Safety for the autonomous mobility of the future,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:25:42.617307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 688b1ed1-8604-4a67-922e-da295a45b7de · outbound

This paper cites Webots.hpc: A parallel simulation pipeline for autonomous vehicles,.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function Webots.hpc: A parallel simulation pipeline for autonomous vehicles,

Reference 23

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T11:25:42.343996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e6c6ecdb-9885-47e9-9274-201eccc00784 · outbound

This paper cites NVIDIA Introduces DRIVE Constellation Simulation System to Safely Drive Autonomous Vehicles Billions of Miles in Virtual Reality,.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function NVIDIA Introduces DRIVE Constellation Simulation System to Safely Drive Autonomous Vehicles Billions of Miles in Virtual Reality,

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-06T11:25:42.610398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation bc6675e7-3f96-42a6-af92-94a90a1f287e · outbound

This paper cites Ansys A Vxcelerate Autonomy: End-to-end simulation platform for autonomous vehicle validation,.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function Ansys A Vxcelerate Autonomy: End-to-end simulation platform for autonomous vehicle validation,

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-06T11:25:42.603407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:25:42.126585Z digest=sha256:0c4e370ae51eeaaa7292c273cafb15a5786564361cb38655fa7a719902ded451

Observation c3cc42e9-a6a9-4de5-9579-cb5dda9fe0ef · outbound

This paper cites Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T11:25:42.128592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:25:42.128592Z digest=sha256:1acaccc6ca4b57249e9de7fb2d8ba0a8ba243a493fd9b2edca4f10988d42a74b

Observation 7a8301e1-f68e-4cc2-b831-9f54885bce91 · outbound

This paper cites Dense reinforcement learning for safety validation of autonomous vehicles,.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function Dense reinforcement learning for safety validation of autonomous vehicles,

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T11:25:42.130661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:25:42.130661Z digest=sha256:082e927970c3f894603eafcaad8bd8f51aea8d98e40f613b0b9554c80d0e84c2

Observation ab448d1b-771b-4e8c-899a-3eb3209a6ed6 · outbound

This paper cites Safety-critical scenario generation via reinforcement learning based editing,.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function Safety-critical scenario generation via reinforcement learning based editing,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:25:42.592295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 25a6a5c5-928b-41b2-8180-a3153f619326 · outbound

This paper cites Dynnpc: Finding more violations induced by ads in simulation testing through dynamic npc behavior generation,.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function Dynnpc: Finding more violations induced by ads in simulation testing through dynamic npc behavior generation,

Reference 29

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verified exact
raw_fallback, observed 2026-08-06T11:25:42.282384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 8fc3e5f6-3961-4f0e-89b8-c58fdc492297 · outbound

This paper cites Testing of autonomous vehicles using surrogate models and stochastic optimization,.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function Testing of autonomous vehicles using surrogate models and stochastic optimization,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:25:42.585695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:25:42.137655Z digest=sha256:f5b6cd6d28fd86940bffe7fae3032a78566cd75b79540077d6dde3365ff635d5

Observation 4cdb5974-cefe-42e4-b3e6-fab4fe2af9a9 · outbound

This paper cites Variable-fidelity model selection for stochastic simulation,.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function Variable-fidelity model selection for stochastic simulation,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:25:42.579176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 23df0903-e1d6-461e-be58-6535a88c0029 · outbound

This paper cites Genetic algorithm-based test parameter optimization for adas system testing,.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function Genetic algorithm-based test parameter optimization for adas system testing,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:25:42.570855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:25:42.141692Z digest=sha256:d853553241ae99f9b9a997b2a4b067e942fc6c0aedbb4466cc5ccc2e2f9ed87f

Observation 459650ca-60cd-42dc-8779-dabd10c28593 · outbound

This paper cites Testing vision-based control systems using learnable evolutionary algorithms,.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function Testing vision-based control systems using learnable evolutionary algorithms,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:25:42.562653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:25:42.143819Z digest=sha256:974d9293e91cb72a989ecc48ec55ebf2c3719dcb9d5ccb47da02b8cc20e6abd9

Observation c14dbe88-fff1-464c-979b-5416526f3b8b · outbound

This paper cites Identification of test cases for automated driving systems using bayesian optimization,.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function Identification of test cases for automated driving systems using bayesian optimization,

Reference 34

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9834d6fd-c0f9-43f1-af44-81e879ee0259 · outbound

This paper cites An application of scenario exploration to find new scenarios for the devel- opment and testing of automated driving systems in urban scenarios,.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function An application of scenario exploration to find new scenarios for the devel- opment and testing of automated driving systems in urban scenarios,

Reference 35

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 4683a2f2-3fd2-45a2-b352-a692dbd50d99 · outbound

This paper cites A bayesian optimization method for finding the worst-case scenarios of autonomous vehicles,.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function A bayesian optimization method for finding the worst-case scenarios of autonomous vehicles,

Reference 36

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 03d23934-b799-427c-86f6-ca9b00f641a0 · outbound

This paper cites A framework for definition of logical scenarios for safety assurance of automated driving,.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function A framework for definition of logical scenarios for safety assurance of automated driving,

Reference 37

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 48c84c75-2e98-4869-a5ca-881a7c39e427 · outbound

This paper cites Criticality metrics for automated driving: A review and suitability analysis of the state of the art,.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function Criticality metrics for automated driving: A review and suitability analysis of the state of the art,

Reference 38

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation aa4d711f-add1-4713-9de8-d049563295d0 · outbound

This paper cites an unresolved cited work.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-06T11:25:42.521253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 6b512c8c-dd33-4466-b409-dff03bbd5b60 · outbound

This paper cites A Tutorial on Bayesian Optimization.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function A Tutorial on Bayesian Optimization

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T11:25:42.165650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0f08c599-7f67-43d9-ae25-b1187e66b6bd · outbound

This paper cites Matlab version: 9.8.0 (r2020b),.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function Matlab version: 9.8.0 (r2020b),

Reference 41

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b86c4626-6306-48c3-bca4-d001a2c92ff0 · outbound

This paper cites Carmaker,.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function Carmaker,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:25:42.498634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:25:42.171020Z digest=sha256:fb880e756e02ac736729b5b51b12dedd7f5b194568aa93b3e2ec1ac3de37f8e6

Observation 3f3fc670-959f-41b4-83a3-ee89a93e394e · outbound

This paper cites Fast integrators with sensitivity propagation for use in CasADi,.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function Fast integrators with sensitivity propagation for use in CasADi,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:25:42.491576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 512c3d8b-ff34-4d95-9f1c-08c5b2fc405b · outbound

This paper cites acados – a modular open-source framework for fast embedded optimal control,.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function acados – a modular open-source framework for fast embedded optimal control,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:25:42.485024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f856f58b-5838-46e8-a057-ffb6891db7e9 · outbound

This paper cites Virtual validation and uncertainty quantification of an adaptive model predictive controller-based motion planner for autonomous driving systems,.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function Virtual validation and uncertainty quantification of an adaptive model predictive controller-based motion planner for autonomous driving systems,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:25:42.478839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c229031f-ba14-4d60-82ff-8994c114195e · outbound

This paper cites A density-based al- gorithm for discovering clusters in large spatial databases with noise,.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function A density-based al- gorithm for discovering clusters in large spatial databases with noise,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:25:42.470208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T11:25:42.181039Z digest=sha256:0f4cbdf4649e0c47e34038e14579f946ba849d1df58bc27b2be63da68bfa64a0

Observation db199a9f-da6a-40c7-bd0e-58ab510970a2 · outbound

This paper cites Available: https://onlinelibrary.wiley.com/doi/abs/10.1 002/9780470061596.risk0299.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function Available: https://onlinelibrary.wiley.com/doi/abs/10.1 002/9780470061596.risk0299

Reference 2008

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 3613ce46-e2cd-4371-9f7c-069cfe5f407b · outbound

This paper cites Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-06T11:25:42.100780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:25:42.100780Z digest=sha256:f02924adc1cd9a9b429216c8c8a1be520b228c0f6475b06acbc9501ae9573477

Observation 905f766b-82c1-4739-b935-4d9beab43792 · outbound

This paper cites Correlation of Software-in-the-Loop Simulation with Physical Testing for Autonomous Driving.

Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function Correlation of Software-in-the-Loop Simulation with Physical Testing for Autonomous Driving

Reference 2024

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T11:25:42.380036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Pith citing papers

No inbound Pith citation observations are available.