{"as_of":"2026-08-10T08:41:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d6624360463835f1d5a5eae108c48e81a2211b5849a318a23c0e014e741f8cd5","coverage":[{"denominator":49,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":49,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T11:25:42.181039Z","state":"measured"},{"denominator":49,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":49,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2507.22769/citation-record","integrity":"/paper/2507.22769/integrity","json":"/paper/2507.22769/citation-record.json","paper":"/paper/2507.22769"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:25:42.732569Z","title":"Driving to safety: How many miles of driving would it take to demonstrate autonomous vehicle reliability?","venue":null,"work_id":"54cb670b-6641-4d31-bbc9-81eae4dc0f7b","year":2016},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:40.604236Z"},"links":{"citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:eb573c14e21c970696d6f80f5e51294786fb91e4fd7dbf9e99a87f6d1f253d77","observation_id":"8331db75-707e-447b-a90f-2a7167374107","resolution":{"observed_at":"2026-08-06T11:25:42.734736Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:25:42.725849Z","title":"A system- atic approach towards the definition of the terms edge case and corner case for automated driving,","venue":null,"work_id":"af4a2daa-334c-4410-9f11-bd083457ff6e","year":2023},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:40.628945Z"},"links":{"citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:794b3364f6f0d41ff17840ed8795f72996ec95d6863defce2f93ae4f6d85d633","observation_id":"aabb5f46-1af6-4b09-b8a0-38df6e72018e","resolution":{"observed_at":"2026-08-06T11:25:42.728350Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2022.31701","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:25:42.458814Z","title":"Finding critical scenarios for automated driving systems: A systematic mapping study,","venue":null,"work_id":"30764939-274c-4416-8b34-c0691c8df87f","year":2023},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:40.653997Z"},"links":{"citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:7f5e827f60a9c3127d391d2ede705b41c0ae4856fc37c63b5a1b1f672e42c315","observation_id":"c1e7c3dc-0b29-4d5c-9fe7-3fc67d2b3e06","resolution":{"observed_at":"2026-08-06T11:25:42.463411Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:25:42.719315Z","title":"Challenges in autonomous vehicle testing and validation,","venue":null,"work_id":"4ccebbfb-39d2-4084-9924-89dc087ec9e9","year":2016},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:40.723425Z"},"links":{"citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:67edd4e512a4fec04eca5aac4edca70c45dd0005956ac8bf5622e643ef99ecca","observation_id":"ac676f09-9b73-46eb-b0aa-93789b0c0c7b","resolution":{"observed_at":"2026-08-06T11:25:42.721514Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:25:42.712595Z","title":"Virtual testing of automated driving systems. a survey on validation methods,","venue":null,"work_id":"9b5b048a-59fa-4015-bc1b-2accdc885e32","year":2022},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:40.830558Z"},"links":{"citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:991ec77c85181f99d49b0a4bc91fdd99b752816a2219dd331dfe6c57c3aa0739","observation_id":"3b6eb8a5-cf04-4d9f-b180-c20f14ba4ff2","resolution":{"observed_at":"2026-08-06T11:25:42.714701Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.02274","last_updated":"2025-07-15T22:18:21Z","snapshot_observed_at":"2026-08-09T18:18:47.386697Z","submitted_at":"2025-05-04T22:06:23Z","title":"On the Need for a Statistical Foundation in Scenario-Based Testing of Autonomous Vehicles","version":2},"cited_work":{"arxiv_id":"2505.02274","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.02274","snapshot_observed_at":"2026-08-06T11:25:42.388084Z","title":"On the Need for a Statistical Foundation in Scenario-Based Testing of Autonomous Vehicles","venue":"cs.SE","work_id":"2b482e8f-275c-41b1-ab8e-58980d3dea09","year":2025},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:40.939451Z"},"links":{"cited_paper":"/paper/2505.02274","citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:a5f6482a7213242c90cc7aeb96d7fc6161306bcd7b9be81ca71d642ee4409691","observation_id":"f902323f-b2cc-43aa-a7c0-c6a695d4db08","resolution":{"observed_at":"2026-08-06T11:25:42.390751Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:25:42.706137Z","title":"Addendum 156 – un regulation no. 157 uniform provisions concerning the approval of vehicles with regards to automated lane keeping system,","venue":null,"work_id":"0d0484d0-5210-4961-acc6-0ca306e86a6d","year":2021},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:41.079265Z"},"links":{"citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:ea0df775ef08403a2fcfaadaf4c8c75094fbeb5fe731b6970a67de3bef8e4898","observation_id":"697dcb51-125c-4c15-8714-4d430b123dc6","resolution":{"observed_at":"2026-08-06T11:25:42.708693Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:25:42.700480Z","title":"for Standardization of Automation and M","venue":null,"work_id":"366dae90-b649-4c2d-829c-adab0dc88f12","year":2022},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:41.235453Z"},"links":{"citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:02cd1995318a5471c930afa7da23099313e7fdb1c30b09d9ebd0011b06361f9d","observation_id":"d005e3dd-ed32-4e16-858f-a7cbec5cf437","resolution":{"observed_at":"2026-08-06T11:25:42.702673Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:25:42.692875Z","title":"Validation of x-in-the-loop approaches for virtual homologation of automated driving functions,","venue":null,"work_id":"da53dd3f-fe3e-411d-8cb4-f8c96fe19140","year":2018},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:41.392128Z"},"links":{"citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:e6d74876e5e41128c7495eee56094473720b9dbb15af727963226aa3090df8aa","observation_id":"84f3cdd4-0fea-4d61-85a4-33923e6bdb33","resolution":{"observed_at":"2026-08-06T11:25:42.694986Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:25:42.687125Z","title":"Vehicle-in-virtual-environment (vve) method for autonomous driving system development, evaluation and demonstration,","venue":null,"work_id":"e46401d1-64fb-460d-adb9-8f42998ef824","year":2023},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:41.546073Z"},"links":{"citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:e3f158788f1bf3949f5416fa6d89e8af94b9b2c427321233e5913ef42c22e9d4","observation_id":"b0f266ea-1cdd-43a4-8efc-794a0954ae24","resolution":{"observed_at":"2026-08-06T11:25:42.689387Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:25:42.680585Z","title":"Correlation of software- in-the-loop simulation with physical testing for autonomous driving,","venue":null,"work_id":"aec64fd9-85e1-4518-9c55-70f1db452d8c","year":null},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:41.654405Z"},"links":{"citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:8756346fb4c98c4cbd4e2367bb8b6691bb6742df10a0e12349dde4e58b2689de","observation_id":"3459278a-e008-4bd4-92cf-aab89727a9ee","resolution":{"observed_at":"2026-08-06T11:25:42.683029Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.00964","last_updated":"2021-12-02T03:41:33Z","snapshot_observed_at":"2026-07-06T12:14:28.455694Z","submitted_at":"2021-12-02T03:41:33Z","title":"A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity Simulation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.00964","snapshot_observed_at":"2026-08-06T11:25:41.830342Z","title":"A survey on scenario-based testing for automated driving systems in high-fidelity simulation,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:41.830342Z"},"links":{"cited_paper":"/paper/2112.00964","citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:ec4a44c04b6610da0d7dd7171b545d4f539abedcd5f0301612923fed509da98e","observation_id":"8648c2ea-23df-4c10-b5f8-4e77c1998f23","resolution":{"observed_at":"2026-08-06T11:25:41.830342Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:25:42.674421Z","title":"Gas: Generating fast & accurate surrogate models for simulations of autonomous vehicle systems,","venue":null,"work_id":"3e9576f3-29d8-46ab-bad3-a0eb5608548c","year":2024},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:41.984681Z"},"links":{"citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:0a6bb53e518bec6676436675ccf2e4acc331291dbe25c34aa9a927928795c699","observation_id":"871b040d-1b06-435c-a49d-cb489523de06","resolution":{"observed_at":"2026-08-06T11:25:42.676891Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:25:42.668185Z","title":"Autonovi-sim: Autonomous vehicle simulation platform with weather, sensing, and traffic control,","venue":null,"work_id":"fb0836bc-15c7-444e-997f-7245b02a6a16","year":2018},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:42.002068Z"},"links":{"citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:4bfe50ef579ad3f8daecffa295fcb49f14355529c221fba5df361a3d17c87b70","observation_id":"3ac5baea-7b81-4961-a339-c5c5813a639d","resolution":{"observed_at":"2026-08-06T11:25:42.670464Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:25:42.661578Z","title":"Waymax: An accelerated, data-driven simulator for large-scale autonomous driving research,","venue":null,"work_id":"c4d836fb-3f4c-4925-bae5-dbbba61b49bc","year":null},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:42.012144Z"},"links":{"citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:a36f40cc87c2607fb3424e0dfb2054c56d92e7141c88155a8778aea43b516a34","observation_id":"834a7ae8-7ba3-41dc-9315-a999abc4af26","resolution":{"observed_at":"2026-08-06T11:25:42.663945Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.14870","last_updated":"2021-11-14T02:57:38Z","snapshot_observed_at":"2026-07-06T12:02:52.936070Z","submitted_at":"2021-10-28T03:30:49Z","title":"A Scenario-Based Platform for Testing Autonomous Vehicle Behavior Prediction Models in Simulation","version":2},"cited_work":{"arxiv_id":"2110.14870","doi":null,"metadata_source":"pith","pith_arxiv_id":"2110.14870","snapshot_observed_at":"2026-08-06T11:25:42.352370Z","title":"A Scenario-Based Platform for Testing Autonomous Vehicle Behavior Prediction Models in Simulation","venue":"cs.AI","work_id":"adc6ebc5-8665-4c80-aef9-30fafba4b40f","year":2021},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:42.103375Z"},"links":{"cited_paper":"/paper/2110.14870","citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:936f25ffe7bac5db6509b337885676f7f96b06afd9a5e1c75e5117f50ede756d","observation_id":"e8d1dfae-f995-4df2-a2a5-ee227f790e46","resolution":{"observed_at":"2026-08-06T11:25:42.355848Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:25:42.654299Z","title":"A rule-defined adaptive mpc based motion planner for autonomous driving applications,","venue":null,"work_id":"b52da49b-d852-4518-ae0b-5603bdb4c6d2","year":2024},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:42.105829Z"},"links":{"citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:03f10004f1dbaa8293c1dc85c58e4333c4f73a4d8bc1033172b4859ae1f9bcd1","observation_id":"51f83406-fb8b-4f78-abe1-9eaf63dc22b2","resolution":{"observed_at":"2026-08-06T11:25:42.656597Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:25:42.646787Z","title":"Data basis for scenario-based validation of had on high- ways,","venue":null,"work_id":"337fd601-79e2-4900-b7ea-c68e703a5e90","year":2018},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:42.107826Z"},"links":{"citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:f22b8631f00987055e57cf345aaa053ed261c6552b8312fd674c22b38c9a88ef","observation_id":"fb529380-798f-4666-8e69-a968c6f15866","resolution":{"observed_at":"2026-08-06T11:25:42.649658Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:25:42.637842Z","title":"A framework for definition of logical scenarios for safety assurance of automated driving,","venue":null,"work_id":"ff267cd9-601b-4ab4-aaef-198b52dd9bae","year":2019},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:42.110790Z"},"links":{"citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:a4c618420da7f8fa672d8bc0b93812e8903347bbcf1bc86057dfab480273e0ca","observation_id":"7d76d66a-b00d-43c9-ae60-f4b0ecbb86b3","resolution":{"observed_at":"2026-08-06T11:25:42.641089Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:25:42.629035Z","title":"Pegasus—first steps for the safe introduction of automated driving,","venue":null,"work_id":"474c4c8a-f452-45c8-a279-790c8686c6a9","year":2019},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:42.113083Z"},"links":{"citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:a2eb8d71e7296fcbe02afb23eb20d9e45a0b152d925085b3fd093623822bea17","observation_id":"b8ff3123-9843-485d-9b3b-bdf54032294b","resolution":{"observed_at":"2026-08-06T11:25:42.632261Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:25:42.621529Z","title":"Verification & Validation Methods (VVM) for Automated Vehicles,","venue":null,"work_id":"35c17bd3-02ca-4ded-8ac9-d5fc91ca10eb","year":2019},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:42.115573Z"},"links":{"citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:6ace14e4ef512b2b01627d1119acc874633de82a1ccb62c3d532f457e5e5360e","observation_id":"ea56a9b7-27e6-4ca7-a6cb-e4e175672250","resolution":{"observed_at":"2026-08-06T11:25:42.623653Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:25:42.615002Z","title":"SET Level: Safety for the autonomous mobility of the future,","venue":null,"work_id":"163ba06b-4b02-4775-881e-8fb966a39134","year":2022},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:42.118393Z"},"links":{"citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:7bec5c9dd846f7ee6de589501ae367d4b034aebbf1f2aad470d61d717e02900d","observation_id":"ed739d6b-1763-4003-85c2-f7b6c2fd7977","resolution":{"observed_at":"2026-08-06T11:25:42.617307Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"1418.35351","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:25:42.340317Z","title":"Webots.hpc: A parallel simulation pipeline for autonomous vehicles,","venue":null,"work_id":"59a79665-7511-452a-bc76-85a96721fe06","year":2022},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:42.121376Z"},"links":{"citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:dfce5dc134cf980e1ba5d54454893173a6cfdb739bc37d5ac74f86f6ffa8426a","observation_id":"688b1ed1-8604-4a67-922e-da295a45b7de","resolution":{"observed_at":"2026-08-06T11:25:42.343996Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:25:42.607710Z","title":"NVIDIA Introduces DRIVE Constellation Simulation System to Safely Drive Autonomous Vehicles Billions of Miles in Virtual Reality,","venue":null,"work_id":"ff310042-5f06-45b1-a380-f9c82e816013","year":2018},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:42.123345Z"},"links":{"citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:65469be34cf40c2ec2250bdbf519d09c0c6d30f03260a29b8c8f2c1319919209","observation_id":"e6c6ecdb-9885-47e9-9274-201eccc00784","resolution":{"observed_at":"2026-08-06T11:25:42.610398Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:25:42.601049Z","title":"Ansys A Vxcelerate Autonomy: End-to-end simulation platform for autonomous vehicle validation,","venue":null,"work_id":"22588a99-c07a-48b8-95f3-7e6a008c644d","year":2023},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:42.126585Z"},"links":{"citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:6f8110f3396216c7d020043d6a078840ddecfe895673ab61cb6bbd1a5750ac4e","observation_id":"bc6675e7-3f96-42a6-af92-94a90a1f287e","resolution":{"observed_at":"2026-08-06T11:25:42.603407Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.15792","last_updated":"2026-04-28T14:05:45Z","snapshot_observed_at":"2026-07-06T20:40:43.790748Z","submitted_at":"2025-02-18T16:32:31Z","title":"Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.15792","snapshot_observed_at":"2026-08-06T11:25:42.128592Z","title":"Multi-objective reinforcement learning for critical scenario generation of autonomous vehicles,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:42.128592Z"},"links":{"cited_paper":"/paper/2502.15792","citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:7bd7296f639ce0fd68ae65fa3005924764563d4909210134d095b683c6fe7524","observation_id":"c3cc42e9-a6a9-4de5-9579-cb5dda9fe0ef","resolution":{"observed_at":"2026-08-06T11:25:42.128592Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:25:42.130661Z","title":"Dense reinforcement learning for safety validation of autonomous vehicles,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:42.130661Z"},"links":{"citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:e425e3e4cfb7f4acece5c276fc79d5683b9d7565b33a4785c0bf1fbbadcbab8b","observation_id":"7a8301e1-f68e-4cc2-b831-9f54885bce91","resolution":{"observed_at":"2026-08-06T11:25:42.130661Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:25:42.589796Z","title":"Safety-critical scenario generation via reinforcement learning based editing,","venue":null,"work_id":"a6bc8397-ebc6-4a0f-8411-71826a8e3a11","year":2024},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:42.132374Z"},"links":{"citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:b5de07ec473037537751efaae252a845c7dedb92eff53883ee2c28ca7ce8abf9","observation_id":"ab448d1b-771b-4e8c-899a-3eb3209a6ed6","resolution":{"observed_at":"2026-08-06T11:25:42.592295Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2411.19567","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:25:42.276612Z","title":"Dynnpc: Finding more violations induced by ads in simulation testing through dynamic npc behavior generation,","venue":null,"work_id":"cff871d7-7652-4361-a1ad-6202c2511ae3","year":2025},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:42.135360Z"},"links":{"citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:f554339f9927d1c7547290540f4c5353c3d1745c93950b2b02f49810af5fa3a9","observation_id":"25a6a5c5-928b-41b2-8180-a3153f619326","resolution":{"observed_at":"2026-08-06T11:25:42.282384Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:25:42.583417Z","title":"Testing of autonomous vehicles using surrogate models and stochastic optimization,","venue":null,"work_id":"c4e22c83-0410-4334-8b05-d1000d0e5ca7","year":2017},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:42.137655Z"},"links":{"citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:f78811f0b35447619746e8bcf3d1dd6c952d9f4bc4f0d0db478a091d168e64d6","observation_id":"8fc3e5f6-3961-4f0e-89b8-c58fdc492297","resolution":{"observed_at":"2026-08-06T11:25:42.585695Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:25:42.576881Z","title":"Variable-fidelity model selection for stochastic simulation,","venue":null,"work_id":"5b35bb8c-4f0c-43a0-8faf-0a92c2228ce6","year":2014},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:42.139433Z"},"links":{"citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:86e63d53621eb5d03cfa84d5e3dc1c35650f6615968448a40bb63fd2e137e95d","observation_id":"4cdb5974-cefe-42e4-b3e6-fab4fe2af9a9","resolution":{"observed_at":"2026-08-06T11:25:42.579176Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:25:42.567967Z","title":"Genetic algorithm-based test parameter optimization for adas system testing,","venue":null,"work_id":"4fc59907-5f86-4a45-a6da-07d5d25e2d8d","year":2019},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:42.141692Z"},"links":{"citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:1617d4440479c6429333118af1e611a590a766dd89590293c8ff0cd44546db81","observation_id":"23df0903-e1d6-461e-be58-6535a88c0029","resolution":{"observed_at":"2026-08-06T11:25:42.570855Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:25:42.560463Z","title":"Testing vision-based control systems using learnable evolutionary algorithms,","venue":null,"work_id":"943c61b1-f725-4d9d-b651-cb6b00a6eef9","year":2018},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:42.143819Z"},"links":{"citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:49594bb73817a31ddfcec1db7033618d1ea15526b5118528485b0ab3357e2fc1","observation_id":"459650ca-60cd-42dc-8779-dabd10c28593","resolution":{"observed_at":"2026-08-06T11:25:42.562653Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:25:42.146847Z","title":"Identification of test cases for automated driving systems using bayesian optimization,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:42.146847Z"},"links":{"citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:96913c8a29bc7aab149572601d378e07e30f8972de24c67c124b72f5f10a803c","observation_id":"c14dbe88-fff1-464c-979b-5416526f3b8b","resolution":{"observed_at":"2026-08-06T11:25:42.146847Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:25:42.550295Z","title":"An application of scenario exploration to find new scenarios for the devel- opment and testing of automated driving systems in urban scenarios,","venue":null,"work_id":"ee70e666-4d73-45e9-a6e7-ba01b872e597","year":2022},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:42.149393Z"},"links":{"citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:154ce77c2f9f9a058143b93da18b70bf22e344ca973be3ee17732bb844ddab15","observation_id":"9834d6fd-c0f9-43f1-af44-81e879ee0259","resolution":{"observed_at":"2026-08-06T11:25:42.552363Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:25:42.544676Z","title":"A bayesian optimization method for finding the worst-case scenarios of autonomous vehicles,","venue":null,"work_id":"f0f480a3-773f-4501-b55f-126a23292f11","year":2025},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:42.152273Z"},"links":{"citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:f3cf41bf33cd87431afb1daccb9a6b5482ffabfe43ec32d492253afac573e072","observation_id":"4683a2f2-3fd2-45a2-b352-a692dbd50d99","resolution":{"observed_at":"2026-08-06T11:25:42.546875Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:25:42.536936Z","title":"A framework for definition of logical scenarios for safety assurance of automated driving,","venue":null,"work_id":"2325df53-f314-4034-8f1a-c65921c90568","year":2019},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:42.154146Z"},"links":{"citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:bf589a9a00692ddf78b090c2c3f84fe11139faa386feb19f6fa0f8e536f09a70","observation_id":"03d23934-b799-427c-86f6-ca9b00f641a0","resolution":{"observed_at":"2026-08-06T11:25:42.540400Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:25:42.527821Z","title":"Criticality metrics for automated driving: A review and suitability analysis of the state of the art,","venue":null,"work_id":"e2dc87ae-2f7a-4586-abf1-07a42c7ff300","year":2023},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:42.156459Z"},"links":{"citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:77398d449082fafcdc27d2ed5827fc9f3da9ebeb3fd1739fed38160b95f297e6","observation_id":"48c84c75-2e98-4869-a5ca-881a7c39e427","resolution":{"observed_at":"2026-08-06T11:25:42.530727Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:25:42.519231Z","title":null,"venue":null,"work_id":"b5e7f9a5-6547-4c8c-91ae-79698be3721e","year":null},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:42.159575Z"},"links":{"citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:d2d5a2ad7b9183351d601e35acb0a79fcaa5b20eb5f74bde324acd23d4d3380f","observation_id":"aa4d711f-add1-4713-9de8-d049563295d0","resolution":{"observed_at":"2026-08-06T11:25:42.521253Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1807.02811","last_updated":"2018-07-08T13:06:26Z","snapshot_observed_at":"2026-08-07T12:49:05.688504Z","submitted_at":"2018-07-08T13:06:26Z","title":"A Tutorial on Bayesian Optimization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1807.02811","snapshot_observed_at":"2026-08-06T11:25:42.165650Z","title":"A tutorial on bayesian optimization,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:42.165650Z"},"links":{"cited_paper":"/paper/1807.02811","citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:a324be9b4dcc0fc3b981232e7ed323fa97bdc8a6ddfed7e48bbd399a2c0390af","observation_id":"6b512c8c-dd33-4466-b409-dff03bbd5b60","resolution":{"observed_at":"2026-08-06T11:25:42.165650Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:25:42.502016Z","title":"Matlab version: 9.8.0 (r2020b),","venue":null,"work_id":"589fffa3-dbcd-4855-99fa-ed6f3545fb5b","year":2020},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:42.168285Z"},"links":{"citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:5b829c240c8be228d8accc34129b2f88c90febd57bab4bee245233c163a937bc","observation_id":"0f08c599-7f67-43d9-ae25-b1187e66b6bd","resolution":{"observed_at":"2026-08-06T11:25:42.504686Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:25:42.496554Z","title":"Carmaker,","venue":null,"work_id":"ff59698d-d174-4a66-87a5-f565718c0b55","year":2020},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:42.171020Z"},"links":{"citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:7030f8411dd583b1eb7c15ee825d94f98b71c22f266a15a69e95af60e09903a1","observation_id":"b86c4626-6306-48c3-bca4-d001a2c92ff0","resolution":{"observed_at":"2026-08-06T11:25:42.498634Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:25:42.489441Z","title":"Fast integrators with sensitivity propagation for use in CasADi,","venue":null,"work_id":"22c20592-0110-44b1-bf90-fd6a67b35351","year":2023},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:42.172932Z"},"links":{"citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:794482744f923d74264f2aa954086222ba6e0fd9bf65331587e9e8f874170940","observation_id":"3f3fc670-959f-41b4-83a3-ee89a93e394e","resolution":{"observed_at":"2026-08-06T11:25:42.491576Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:25:42.482543Z","title":"acados – a modular open-source framework for fast embedded optimal control,","venue":null,"work_id":"dd8db76a-09b9-4c61-8307-fd9b10b4eab6","year":2021},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:42.175603Z"},"links":{"citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:2d5bc26631e31746f44c76719fd6fc107839295300db7a7e20d42f5994b73a92","observation_id":"512c3d8b-ff34-4d95-9f1c-08c5b2fc405b","resolution":{"observed_at":"2026-08-06T11:25:42.485024Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:25:42.476197Z","title":"Virtual validation and uncertainty quantification of an adaptive model predictive controller-based motion planner for autonomous driving systems,","venue":null,"work_id":"fbf97af1-f847-4e5a-9fad-f58ec3948dcc","year":2024},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:42.178693Z"},"links":{"citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:454523f2b47a58927cb4409955547bf394c38c5fd09037fb49de2e6036711039","observation_id":"f856f58b-5838-46e8-a057-ffb6891db7e9","resolution":{"observed_at":"2026-08-06T11:25:42.478839Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:25:42.467848Z","title":"A density-based al- gorithm for discovering clusters in large spatial databases with noise,","venue":null,"work_id":"5ccdfecc-7fae-435c-b3ec-b0cfa681123e","year":1996},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:42.181039Z"},"links":{"citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:ddb68bd231771104e88f98b5cf6babc3ef1deab679ff7ae5c8f10e65076f4706","observation_id":"c229031f-ba14-4d60-82ff-8994c114195e","resolution":{"observed_at":"2026-08-06T11:25:42.470208Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:25:42.510984Z","title":"Available: https://onlinelibrary.wiley.com/doi/abs/10.1 002/9780470061596.risk0299","venue":null,"work_id":"82bb81a1-d89c-4471-97a3-2d16c2ec65c5","year":null},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":2008,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:42.162231Z"},"links":{"citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:7c4e1ac2bf8f4a89f57f0c239f4325626f243c893ad0fd1c2a98bc8874cf5246","observation_id":"db199a9f-da6a-40c7-bd0e-58ab510970a2","resolution":{"observed_at":"2026-08-06T11:25:42.513613Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.08710","last_updated":"2023-10-12T20:49:15Z","snapshot_observed_at":"2026-07-06T16:32:15.322548Z","submitted_at":"2023-10-12T20:49:15Z","title":"Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.08710","snapshot_observed_at":"2026-08-06T11:25:42.100780Z","title":"Available: https://arxiv.org/abs/2310.08710","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:42.100780Z"},"links":{"cited_paper":"/paper/2310.08710","citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:9c75e5026da2b8a929c70fdef531012b1a26d5f73a923009c0c88a7c2b480727","observation_id":"3613ce46-e2cd-4371-9f7c-069cfe5f407b","resolution":{"observed_at":"2026-08-06T11:25:42.100780Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.03040","last_updated":"2024-06-05T08:11:10Z","snapshot_observed_at":"2026-08-09T00:21:50.209378Z","submitted_at":"2024-06-05T08:11:10Z","title":"Correlation of Software-in-the-Loop Simulation with Physical Testing for Autonomous Driving","version":1},"cited_work":{"arxiv_id":"2406.03040","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.03040","snapshot_observed_at":"2026-08-06T11:25:42.377437Z","title":"Correlation of Software-in-the-Loop Simulation with Physical Testing for Autonomous Driving","venue":"cs.SE","work_id":"d1cad742-9921-4cb2-bfb8-2a277cd293fe","year":2024},"citing_paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function","version":2},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-06T11:25:41.760882Z"},"links":{"cited_paper":"/paper/2406.03040","citing_paper":"/paper/2507.22769"},"observation_digest":"sha256:28df4cad54191c74504f14e3305f4cbbf0a9d4a3691d34324e1a4dc08513b285","observation_id":"905f766b-82c1-4739-b935-4d9beab43792","resolution":{"observed_at":"2026-08-06T11:25:42.380036Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.22769","last_updated":"2025-08-07T17:23:03Z","latest_version":2,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-09T18:50:53.495354Z","submitted_at":"2025-07-30T15:34:10Z","title":"Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function"},"reference_resolution":{"displayed":49,"state_counts":{"malformed_identifier":1,"metadata_mismatch":3,"parse_uncertain":0,"unresolved":7,"verified_exact":3,"verified_fuzzy":35},"total_outbound_references":49},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2507.22769."}