Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T11:25:42.181039Z
Paper Citation Record · LEDGER
Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function
As of 14 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:25:42.734736Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:25:42.728350Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
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
- Resolution
- 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 2026-08-14T06:32:32.682623+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:25:42.721514Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:25:42.714701Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
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 2026-08-14T06:32:32.682623+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:25:42.708693Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:25:42.702673Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
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 2026-08-14T06:32:32.682623+00:00.
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 2026-08-14T06:32:32.682623+00:00.
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 2026-08-14T06:32:32.682623+00:00.
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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:25:42.676891Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
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 2026-08-14T06:32:32.682623+00:00.
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 2026-08-14T06:32:32.682623+00:00.
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 2026-08-14T06:32:32.682623+00:00.
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
- raw_fallback, observed 2026-08-06T11:25:42.656597Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
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 2026-08-14T06:32:32.682623+00:00.
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 2026-08-14T06:32:32.682623+00:00.
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
- Resolution
- 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 2026-08-14T06:32:32.682623+00:00.
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 2026-08-14T06:32:32.682623+00:00.
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 2026-08-14T06:32:32.682623+00:00.
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 2026-08-14T06:32:32.682623+00:00.
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
- Resolution
- 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 2026-08-14T06:32:32.682623+00:00.
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
- Resolution
- 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 2026-08-14T06:32:32.682623+00:00.
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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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.
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 2026-08-14T06:32:32.682623+00:00.
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
- Resolution
- 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 2026-08-14T06:32:32.682623+00:00.
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 2026-08-14T06:32:32.682623+00:00.
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 2026-08-14T06:32:32.682623+00:00.
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 2026-08-14T06:32:32.682623+00:00.
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 2026-08-14T06:32:32.682623+00:00.
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.
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 2026-08-14T06:32:32.682623+00:00.
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
- raw_fallback, observed 2026-08-06T11:25:42.546875Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
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
- raw_fallback, observed 2026-08-06T11:25:42.540400Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
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
- raw_fallback, observed 2026-08-06T11:25:42.530727Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
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 2026-08-14T06:32:32.682623+00:00.
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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- raw_fallback, observed 2026-08-06T11:25:42.504686Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
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 2026-08-14T06:32:32.682623+00:00.
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 2026-08-14T06:32:32.682623+00:00.
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 2026-08-14T06:32:32.682623+00:00.
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 2026-08-14T06:32:32.682623+00:00.
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 2026-08-14T06:32:32.682623+00:00.
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
- malformed identifier
- raw_fallback, observed 2026-08-06T11:25:42.513613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
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.
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 2026-08-14T06:32:32.682623+00:00.
Pith citing papers
No inbound Pith citation observations are available.