{"as_of":"2026-08-10T13:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:00d5b396bfe8647e0d05001b6c14d4ab2a7730e784719769311942773d115b77","coverage":[{"denominator":107,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T13:30:06.228759Z","state":"measured"},{"denominator":100,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":100,"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/2509.00624/citation-record","integrity":"/paper/2509.00624/integrity","json":"/paper/2509.00624/citation-record.json","paper":"/paper/2509.00624"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:29:56.099642Z","title":"Geneva: World Health Organization, 2015","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T13:29:56.099642Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:cd230a737b2a245db3ca68e3566465a0423fb5d9ee3f9e4f18ab484e17b40d98","observation_id":"eb4b75c8-58da-4ab9-82c8-7b0604f74e69","resolution":{"observed_at":"2026-08-05T13:29:56.099642Z","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":"10.1177/1071181311551391","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Investigating the Role of Roadway Environment in Driving Errors: An on Road Study,","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","work_id":"b7fadca7-ee07-42e9-92b7-bd6f4414f891","year":2011},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T13:29:56.224663Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:f7b22dfd653ee8e68f8704e64a84d70e5384e5bca81e28d8edba63f76b316229","observation_id":"6833fbba-98d9-43b9-85a9-4aeace35a6a0","resolution":{"observed_at":"2026-08-05T13:30:11.448925Z","resolver_source":"doi","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":"10.1177/154193120404801661","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Relationship between Infrastructure, Driver Error, and Critical Incidents,","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","work_id":"5f514470-2604-47be-85fb-eb65bc91ab0d","year":2075},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T13:29:56.362913Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:78be256588d417c5dbc3ba271dc98ec66eea4db39cb59fe00efc67763954d469","observation_id":"f18e4cf8-861e-4e64-ab62-f715525626aa","resolution":{"observed_at":"2026-08-05T13:30:11.419685Z","resolver_source":"doi","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:29:56.487985Z","title":"State Estimation and Motion Prediction of Vehicles and Vulnerable Road Users for Cooperative Autonomous Driving: A Survey,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T13:29:56.487985Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:ee40a18c5aecd0eb3de3de815e9728694415aeb50a73cb695ec82c3045f18a95","observation_id":"1cf705c0-06ba-476d-8889-9ec363a3e44b","resolution":{"observed_at":"2026-08-05T13:29:56.487985Z","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":"10.1007/978-3-319-60699-6_22","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Review of tracking and object detection systems for advanced driver assistance and autonomous driving applications with focus on vulnerable road users sensing,","venue":"Advances in intelligent systems and computing","work_id":"68268974-b08b-4604-9acb-1cec8e01138a","year":2017},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T13:29:56.704383Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:0f1d42c6d52464cfdd081097752393750ff4d8541dd9eca68e99a83853997ca5","observation_id":"8c9ec8cc-10cb-49d0-b4da-a794db594a4b","resolution":{"observed_at":"2026-08-05T13:30:11.397387Z","resolver_source":"doi","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:29:56.824857Z","title":"Predicting Pedestrian Crossing Intention With Feature Fusion and Spatio- Temporal Attention,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T13:29:56.824857Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:b169ae3e79ff806cd20dd97ac340d3e868e9b6bab180199e02558e25100ac956","observation_id":"43914a5b-84ad-4bca-a24c-4a5012af2b9b","resolution":{"observed_at":"2026-08-05T13:29:56.824857Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-05T13:29:56.901841Z","title":"Faraway- Frustum: Dealing with Lidar Sparsity for 3D Object Detection using Fusion,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T13:29:56.901841Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:69d764980f697ef6dbcabd1f8b30cad011d95799c19d154612cab63ed7c56d2c","observation_id":"15e872ce-1483-48a4-a7d2-724c077c2dc7","resolution":{"observed_at":"2026-08-05T13:29:56.901841Z","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":"2026-08-05T13:29:57.070952Z","title":"Trajectory planning framework for autonomous vehicles based on collision injury prediction for vulnerable road users,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T13:29:57.070952Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:ddfe1e9b33894e1c7c66f15ab6734a0e580c7a59899fe0480097b7f1b10479e6","observation_id":"c9d7633f-6bb8-4624-8867-e675ee7e8ca7","resolution":{"observed_at":"2026-08-05T13:29:57.070952Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1311.2524","last_updated":"2014-10-22T17:23:20Z","snapshot_observed_at":"2026-07-06T03:27:53.279398Z","submitted_at":"2013-11-11T18:43:49Z","title":"Rich feature hierarchies for accurate object detection and semantic segmentation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1311.2524","snapshot_observed_at":"2026-08-05T13:29:57.211261Z","title":"Rich feature hierarchies for accurate object detection and semantic segmentation,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T13:29:57.211261Z"},"links":{"cited_paper":"/paper/1311.2524","citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:fdcaeeecebe5e28c7f7cc6e2daf4f7002f037657b2d299faf3fced80544dc539","observation_id":"b2645136-2587-407a-8ec0-f11959ba4513","resolution":{"observed_at":"2026-08-05T13:29:57.211261Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1504.08083","last_updated":"2015-09-27T15:10:14Z","snapshot_observed_at":"2026-08-10T10:04:53.772315Z","submitted_at":"2015-04-30T05:13:08Z","title":"Fast R-CNN","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1504.08083","snapshot_observed_at":"2026-08-05T13:29:57.312902Z","title":"Fast R -CNN,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T13:29:57.312902Z"},"links":{"cited_paper":"/paper/1504.08083","citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:0d8d53cc15f7c02934278ae001e491675994455a7fbada11e6bc99b4a0ae9a9c","observation_id":"5670e2be-00e9-4a74-bfd4-d404c7d0a82c","resolution":{"observed_at":"2026-08-05T13:29:57.312902Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1506.01497","last_updated":"2016-01-06T06:30:17Z","snapshot_observed_at":"2026-07-06T04:19:53.343717Z","submitted_at":"2015-06-04T07:58:34Z","title":"Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1506.01497","snapshot_observed_at":"2026-08-05T13:29:57.381253Z","title":"Faster R -CNN: Towards Real -Time Object Detection with Region Proposal Networks,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T13:29:57.381253Z"},"links":{"cited_paper":"/paper/1506.01497","citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:94287e6d447d04391cf2ccebe493960f820d1e687f1f06fe4a49f84e5cec7082","observation_id":"3807bf2c-3786-4935-8cb0-8c8e16f87197","resolution":{"observed_at":"2026-08-05T13:29:57.381253Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2011.12450","last_updated":"2021-04-26T14:20:03Z","snapshot_observed_at":"2026-07-06T10:17:36.237234Z","submitted_at":"2020-11-25T00:01:28Z","title":"Sparse R-CNN: End-to-End Object Detection with Learnable Proposals","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2011.12450","snapshot_observed_at":"2026-08-05T13:29:57.475225Z","title":"Sparse R -CNN: End-to-End Object Detection with Learnable Proposals,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T13:29:57.475225Z"},"links":{"cited_paper":"/paper/2011.12450","citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:dd1f0d86ad3155f35ece01d11eef0eae17b4b4b84dd3b6a3e64c33d7eb76b7b7","observation_id":"c02ad9cf-a432-4de7-96de-5cb33af82b42","resolution":{"observed_at":"2026-08-05T13:29:57.475225Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1506.02640","last_updated":"2016-05-09T22:22:11Z","snapshot_observed_at":"2026-07-06T04:20:15.965140Z","submitted_at":"2015-06-08T19:52:52Z","title":"You Only Look Once: Unified, Real-Time Object Detection","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1506.02640","snapshot_observed_at":"2026-08-05T13:29:57.553113Z","title":"You Only Look Once: Unified, Real- Time Object Detection,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T13:29:57.553113Z"},"links":{"cited_paper":"/paper/1506.02640","citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:cc6d23cfff245333f0f7d05f08c81be9fc5e0d80c88d511e942b2d1612339cd2","observation_id":"f1734c53-9135-4179-b252-b876e8e0a481","resolution":{"observed_at":"2026-08-05T13:29:57.553113Z","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":"10.3390/electronics13010236","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"YOLOv8-CB: Dense Pedestrian Detection Algorithm Based on In- Vehicle Camera,","venue":"Electronics","work_id":"2f7b1a42-6d9b-4c9a-a02f-23c92855f4ae","year":2024},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T13:29:57.628605Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:f8260628b96d45110ff3dca9858e93716821ed2150f7dab4d5887c7c5918a97a","observation_id":"32fbba88-f787-4a97-a71d-36c7ca1d7642","resolution":{"observed_at":"2026-08-05T13:30:11.267712Z","resolver_source":"doi","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:29:57.776773Z","title":"Laser Scanners for Driver-Assistance Systems in Intelligent 78 Vehicles [Applications of Control],","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T13:29:57.776773Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:cd49e37f28cbc19b8035ab77928123f44e4450d0884bcc7cf7df89a8f7fb4c81","observation_id":"34dc6592-7fed-48b3-9ec9-2143aca1e0e3","resolution":{"observed_at":"2026-08-05T13:29:57.776773Z","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":"10.1155/2013/749896","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Lidar Data Analysis for Time to Headway Determination in the DriveSafe Project Field Tests,","venue":"International Journal of Vehicular Technology","work_id":"fae6d85f-88e3-493d-804a-0da9072ed3e6","year":2013},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T13:29:57.926412Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:b2532ecb15f88e43d2b7a887e0af6a4f95ecf3f1c19a80d92227e77510aabf0a","observation_id":"56c58406-f8a4-4b37-a3e4-58141a2b5fa7","resolution":{"observed_at":"2026-08-05T13:30:11.242660Z","resolver_source":"doi","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":"10.3390/electronics13020331","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Vulnerable Road User Safety Using Mobile Phones with Vehicle-to-VRU Communication,","venue":"Electronics","work_id":"00b0e268-44ec-46c9-a694-010794f2989f","year":2024},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T13:29:58.041602Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:604182f796622d086679e4cbb995ee5d43fe9e85c20fce206ece3280d067ad6a","observation_id":"ba420e7d-5683-4cc5-b47f-30404cd9685c","resolution":{"observed_at":"2026-08-05T13:30:11.207443Z","resolver_source":"doi","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":{"arxiv_id":"1812.05784","last_updated":"2019-05-07T02:00:24Z","snapshot_observed_at":"2026-08-07T16:44:03.164203Z","submitted_at":"2018-12-14T05:15:08Z","title":"PointPillars: Fast Encoders for Object Detection from Point Clouds","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1812.05784","snapshot_observed_at":"2026-08-05T13:29:58.184501Z","title":"PointPillars: Fast Encoders for Object Detection from Point Clouds,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T13:29:58.184501Z"},"links":{"cited_paper":"/paper/1812.05784","citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:fddd6ddaa8957517c0ea6deaa03c469c854846aa5ffb4a90cd0c70d383a76bee","observation_id":"75cd7003-5d18-4069-acf7-767e97f52236","resolution":{"observed_at":"2026-08-05T13:29:58.184501Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2012.03015","last_updated":"2020-12-05T12:00:08Z","snapshot_observed_at":"2026-08-07T21:45:05.580194Z","submitted_at":"2020-12-05T12:00:08Z","title":"CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud","version":1},"cited_work":{"arxiv_id":"2012.03015","doi":"10.48550/arxiv.2012.03015","metadata_source":"pith","pith_arxiv_id":"2012.03015","snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud","venue":"cs.CV","work_id":"03209480-d10f-47ac-9193-398c1ff075fa","year":2020},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T13:29:58.311279Z"},"links":{"cited_paper":"/paper/2012.03015","citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:fe6ce4544823cd8c932741dbe90ebc3245ec6a9903100f0b0c3fd16fe39224a5","observation_id":"5f5700c1-b2f4-49e6-9e97-f389b2de5cf3","resolution":{"observed_at":"2026-08-05T13:30:11.157634Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:29:58.541081Z","title":"V2X Communication between Connected and Automated Vehicles (CA Vs) and Unmanned Aerial Vehicles (UA Vs),","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T13:29:58.541081Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:f0e6634cfa6a5c921334e3e5c26bedf886cb84e542d372bdf401c90e763fa521","observation_id":"bdf18901-4db0-4676-b8b5-847d4fa27011","resolution":{"observed_at":"2026-08-05T13:29:58.541081Z","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":"2026-08-05T13:29:58.698135Z","title":"Visual Object Detection Based LiDAR Point Cloud Classification,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T13:29:58.698135Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:6da72c602cbaa9abc349f01a3723be212e3e295dbccd88c27442b0bad1837aa3","observation_id":"8248518d-49ff-421c-be77-95820fdc0371","resolution":{"observed_at":"2026-08-05T13:29:58.698135Z","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":"2026-08-05T13:29:58.809414Z","title":"3D Object Detection Based on LiDAR Data,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T13:29:58.809414Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:f0567200cf21da6eac042c9b961c3aa6d2359016783ece699eefcb517bee8584","observation_id":"76de95d8-b593-43b3-aa2a-4d5123a48d4c","resolution":{"observed_at":"2026-08-05T13:29:58.809414Z","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":"10.3390/info13040169","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"A LiDAR–Camera Fusion 3D Object Detection Algorithm,","venue":"Information","work_id":"b986dc5e-aa89-40f8-a47c-c90730d5f180","year":2022},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T13:29:58.901317Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:ac91fc623ced5ef3cb5d7b38098d01edf28dc49d7fdb04b75402621e4d30ff1d","observation_id":"1975784c-1ca5-40df-89d8-ece9fddf1a8d","resolution":{"observed_at":"2026-08-05T13:30:11.077861Z","resolver_source":"doi","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":"10.3390/s24092942","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"LiDAR -Based Intensity- Aware Outdoor 3D Object Detection,","venue":"Sensors","work_id":"565043e1-7cec-4282-94b9-820dc271d983","year":2024},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T13:29:59.032663Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:94ab0740ea4f91d6b4d7bcce105cd7b28e89f1ffd3c55f9ab334ec1620eacb03","observation_id":"5f00942a-6996-4ed1-9f0b-4a63d8a4d4c0","resolution":{"observed_at":"2026-08-05T13:30:11.051920Z","resolver_source":"doi","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:29:59.156487Z","title":"A Spatio -Temporal Graph Transformer Network for Multi -Pedestrain Trajectory Prediction | IEEE Conference Publication | IEEE Xplore","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T13:29:59.156487Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:8c653847939d161c5cd900365ed523df142eb05068bc3da70ae8d39d622f59de","observation_id":"31d27818-4e29-4f24-ab44-94fd66c8cad8","resolution":{"observed_at":"2026-08-05T13:29:59.156487Z","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":"2026-08-05T13:29:59.272993Z","title":"Jocher, A","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T13:29:59.272993Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:1117480c0f3cfbf37b951959c16654cc6c42785293f90532f3edfae3ab024a11","observation_id":"a3cf5e70-2203-4b23-9350-953932d0462c","resolution":{"observed_at":"2026-08-05T13:29:59.272993Z","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":"2026-08-05T13:29:59.369595Z","title":"CARLA - v20 carla_v20,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T13:29:59.369595Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:75549e721b845286f69135f2a672d206178a3af894d6ed6c1c7dbf116d23c82d","observation_id":"3fffc165-96ad-4de5-81a3-189545eb5b3f","resolution":{"observed_at":"2026-08-05T13:29:59.369595Z","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":"2026-08-05T13:29:59.466884Z","title":"Guvenc, B","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T13:29:59.466884Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:a789221d06abc928db0ecc160a5ba494627cc9e8ff8fb7e75ae0d756e41c6bc7","observation_id":"6396fb16-0b0c-4e06-b838-c898da0636a1","resolution":{"observed_at":"2026-08-05T13:29:59.466884Z","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":"10.1155/2022/9866794","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Disturbance Observer- Smith Predictor Compensation-Based Platoon Control with Estimation Deviation,","venue":"Journal of Advanced Transportation","work_id":"180cd7d7-c771-4ed8-94b7-1491f6e97613","year":2022},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T13:29:59.561668Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:3ab7d908b60829339f140b611fe91a8a69e46d0324cf355d88357743aaa7acc5","observation_id":"a2fafad0-5998-4b28-9fad-cff2242a3df1","resolution":{"observed_at":"2026-08-05T13:30:11.024740Z","resolver_source":"doi","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":"10.4271/2024-01-2558","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Path Planning and Robust Path Tracking Control of an Automated Parallel Parking Maneuver,","venue":"SAE technical papers on CD-ROM/SAE technical paper series","work_id":"97b039ea-fe0f-4b8e-a4ad-c56ddd5eef20","year":2024},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T13:29:59.693605Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:fc5b5fa784320dfad5052dc33aa1eca3a73a7df7358f3cdfbf0f06e1917097d7","observation_id":"29bc7f91-9b49-47b2-9358-feda2167f3d0","resolution":{"observed_at":"2026-08-05T13:30:10.993989Z","resolver_source":"doi","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:29:59.812130Z","title":"Oscillatory Yaw Motion Control for Hydraulic Power Steering Articulated Vehicles Considering the Influence of Varying Bulk Modulus,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T13:29:59.812130Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:8af466f6fcbd99a7133ac8539a91f91cd1689c1c8f8fb26c7aee2762954679b4","observation_id":"89a9532b-c0b5-4fbb-85ac-04a6b9e7b197","resolution":{"observed_at":"2026-08-05T13:29:59.812130Z","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":"2026-08-05T13:29:59.935183Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T13:29:59.935183Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:41305e6b9c007ec95ec46c3a08d4190eb8997ce4d05193889040e4d2311a3cd7","observation_id":"73b4fea1-9856-44d0-8bed-0f413c0c6f9a","resolution":{"observed_at":"2026-08-05T13:29:59.935183Z","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":"2026-08-05T13:30:00.069991Z","title":null,"venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:00.069991Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:43f5e64647bc0cb2d8b598e4e77c3e7904f97fbad3be352a64e48d136e0723a6","observation_id":"a958b574-c86f-4f78-ab9c-6ea0b5fa6d43","resolution":{"observed_at":"2026-08-05T13:30:00.069991Z","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":"10.1002/9781394178131.ch7","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Communication Disturbance Observer,","venue":null,"work_id":"d7443b96-6396-49a2-8bad-555b73b6972f","year":2023},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:00.173890Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:167e8e5bec6e937c6daa9e8ce9022ab2a59766e902dd75026dc47849a23612f8","observation_id":"d9c6ecfe-7a37-4ea6-a454-45c6e3247ad6","resolution":{"observed_at":"2026-08-05T13:30:10.944736Z","resolver_source":"doi","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:00.293396Z","title":"Multi-Objective Digital PID Controller Design in Parameter Space and its Application to Automated Path Following,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:00.293396Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:8a71c74357c6077c3b4f92d573ae9b230c63617298406e5512dbb11225fa972a","observation_id":"87b56fb0-ff81-4c35-be9f-eb00dd4df3bd","resolution":{"observed_at":"2026-08-05T13:30:00.293396Z","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":"10.1007/s10846-021-01316-2","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Development and Evaluation of Path and Speed Profile Planning and Tracking Control for an Autonomous Shuttle Using a Realistic, Virtual Simulation Environment,","venue":"Journal of Intelligent & Robotic Systems","work_id":"d125527e-5b3a-4c8b-8d54-e3b5c2480c15","year":2021},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:00.384884Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:89755f8806b93ff50e10d90c3ebe910798d6adcb2188727b6ee52b0d7d8cc012","observation_id":"0f448df9-6bcd-4177-884b-083008aa81bc","resolution":{"observed_at":"2026-08-05T13:30:10.866436Z","resolver_source":"doi","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":"10.1007/s10846-020-01215-y","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Trajectory Planning of Autonomous Vehicles Based on Parameterized Control Optimization in Dynamic on-Road Environments,","venue":"Journal of Intelligent & Robotic Systems","work_id":"e38b0a03-c9c8-4b21-a670-6b3a40b93443","year":2020},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:00.488197Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:79ab04e43336b9772fe26a5d653cac05b2bb30f68fe3559950ef9bfa4c70c05e","observation_id":"e02f7811-9fe9-4be7-a595-c64e5f997132","resolution":{"observed_at":"2026-08-05T13:30:10.667407Z","resolver_source":"doi","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":"10.4271/2018-01-1182","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Localization and Perception for Control and Decision Making of a Low Speed Autonomous Shuttle in a Campus Pilot Deployment,","venue":"SAE technical papers on CD-ROM/SAE technical paper series","work_id":"2d84d9b6-8b17-4f52-ab8c-f22e5f131eb4","year":2018},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:00.606117Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:06c88fa35bc1c83eb80e81a138e358b3a95efa0b25b646e94c4d44f1bea9a22b","observation_id":"056e4551-e7c0-40dd-97a0-3ce1b970f839","resolution":{"observed_at":"2026-08-05T13:30:10.435735Z","resolver_source":"doi","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:00.772812Z","title":"SmartShuttle: a unified, scalable and replicable approach to connected and automated driving in a smart city,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:00.772812Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:220f05572a3f5c6a5cf69074e01968eafa09bc7895c7688258ac13c8037359bb","observation_id":"6db4fdda-7d29-482f-8722-50f7cb920e5e","resolution":{"observed_at":"2026-08-05T13:30:00.772812Z","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":"2026-08-05T13:30:00.871418Z","title":"Connected and Autonomous Vehicles,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:00.871418Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:8e81ca20aeaf46eb3d087432ee5172b867888faa07733960d720864ca3645ed5","observation_id":"12eca66c-d659-49a1-a9d6-7baa9ecbf21c","resolution":{"observed_at":"2026-08-05T13:30:00.871418Z","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":"10.1016/j.ifacol.2016.07.073","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Socially Acceptable Collision Avoidance System for Vulnerable Road Users,","venue":"IFAC-PapersOnLine","work_id":"0d36b97d-adfe-4b65-9b75-54165155c60b","year":2016},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:01.004100Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:65268d85d96f96e93734f47c5e1d3a366e9000468a7cc7ad3464106512dd88dc","observation_id":"db751db8-38bc-4244-9072-c21b5a5c506b","resolution":{"observed_at":"2026-08-05T13:30:10.236218Z","resolver_source":"doi","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":"10.3390/electronics13244901","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"General Obstacle Avoidance Capability Assessment for Autonomous Vehicles,","venue":"Electronics","work_id":"36a31715-4f03-4c1e-a753-891f1507a37a","year":2024},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:01.106225Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:0bc0e6c1b3a5a7e9147dc52207613be6cf3d52b2687e02609322c4fbbbbc68cf","observation_id":"bb9d43f4-4e32-4b6f-b0de-e8361bb6774b","resolution":{"observed_at":"2026-08-05T13:30:10.119082Z","resolver_source":"doi","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":"10.3390/electronics12234765","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Autonomous Vehicle Emergency Obstacle Avoidance Maneuver Framework at Highway Speeds,","venue":"Electronics","work_id":"b2018ac4-9cc4-4b40-bbb9-6332388720dc","year":2023},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:01.205930Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:40af29a77e58f5644a0c6b3b75fda146d5293434c0e041893790bc5f76ea7e6e","observation_id":"842df4d1-e56f-42e7-8ab5-0e5774358654","resolution":{"observed_at":"2026-08-05T13:30:09.956312Z","resolver_source":"doi","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":"10.3390/s23115088","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Vehicle -in-Virtual- Environment (VVE) Method for Autonomous Driving System Development, Evaluation and Demonstration,","venue":"Sensors","work_id":"163270c5-c253-4081-bcad-7c592cac334f","year":2023},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:01.381101Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:855b5af822e62c197e72c16dba7b27759e3fd06cdc141a8ed9ce18643dbac11b","observation_id":"8e4ae3a8-d6b1-46b5-8da0-6921537e39b1","resolution":{"observed_at":"2026-08-05T13:30:09.365845Z","resolver_source":"doi","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:01.497471Z","title":"Control barrier function based quadratic programs with application to adaptive cruise control,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:01.497471Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:97657b3e19b83eb003126823d2ddaef1ae350a3fca10e6a71c8933ab5f0d0025","observation_id":"23b1ee93-16d4-40d6-b7a9-5c6d1c90442b","resolution":{"observed_at":"2026-08-05T13:30:01.497471Z","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":"2026-08-05T13:30:01.642900Z","title":"Control Barrier Function Based Quadratic Programs for Safety Critical Systems,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:01.642900Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:c794e170fe55fd9ac2525181a97a1de8b0590735c9fe0162672584b9db682e60","observation_id":"ef16c837-6797-4c1a-a69c-d78ceb4ebcef","resolution":{"observed_at":"2026-08-05T13:30:01.642900Z","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":"2026-08-05T13:30:01.750291Z","title":"Control Barrier Functions: Theory and Applications,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:01.750291Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:b8514a892ec41b0aacdf91cdd28a3285a46101befee6e0dc08b4a8e49dc53eff","observation_id":"3134cc1a-365e-49d9-a1f1-bf01519cf04b","resolution":{"observed_at":"2026-08-05T13:30:01.750291Z","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":"2026-08-05T13:30:01.909033Z","title":"Safety Barrier Certificates for Collisions -Free Multirobot Systems,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:01.909033Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:b9d7654840a6ee4fe961fd55fd34e5df75f925a7a9d13d254f2f341af566f95e","observation_id":"48e882cc-b304-4237-afa6-ec3e8fa9aa8e","resolution":{"observed_at":"2026-08-05T13:30:01.909033Z","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":"2026-08-05T13:30:02.011623Z","title":"CLF-CBF Based Quadratic Programs for Safe Motion Control of Nonholonomic Mobile Robots in Presence of Moving Obstacles,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:02.011623Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:8dbcff06b35e213f00502d01acd3c39791005ebee343773b7e8e9092be469312","observation_id":"b8b1d3fe-9bea-402b-a2f5-07e3e5ecd8c9","resolution":{"observed_at":"2026-08-05T13:30:02.011623Z","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":"2026-08-05T13:30:02.226836Z","title":"Safe Autonomous Multi-vehicle Navigation Using Path Following Control and Spline-Based Barrier Functions,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:02.226836Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:32c8ad2de0edb5e0b6242e051b9008a65f6a6c56214e842ed8f9f0799e5acef8","observation_id":"29c74c01-fac3-4f7f-9e8c-db2b322c455e","resolution":{"observed_at":"2026-08-05T13:30:02.226836Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-05T13:30:02.117673Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:02.117673Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:cc4db1e585cc60d65fd10b5c560dda68204c676411790728eb566042e30da730","observation_id":"006a2087-dab9-48d4-83ab-0e22d782ca6f","resolution":{"observed_at":"2026-08-05T13:30:02.117673Z","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":"8689.2023","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:13.304547Z","title":"Safety -Critical Path Planning of Autonomous Surface Vehicles Based on Rapidly-Exploring Random Tree Algorithm and High Order Control Barrier Functions,","venue":null,"work_id":"3cca1862-9977-43c1-9e18-6731dab162d3","year":2023},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:02.486409Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:d111dc7b212079ee3b51160854fbba5b99c0affd9f987cfa292500f413711256","observation_id":"278395f4-2124-4874-9f1e-895dbaedfd2e","resolution":{"observed_at":"2026-08-05T13:30:13.313048Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:02.389942Z","title":"Sampling-based Motion Planning via Control Barrier Functions,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:02.389942Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:a591d2ce20d840a3bfdc21e7c120f4044a1027d777408005a63b4f6f27445186","observation_id":"f4880724-18a8-4519-be54-160e9a531dd5","resolution":{"observed_at":"2026-08-05T13:30:02.389942Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.06157","last_updated":"2023-11-09T23:55:56Z","snapshot_observed_at":"2026-08-04T10:02:35.679562Z","submitted_at":"2022-01-16T23:52:06Z","title":"Potential Game-Based Decision-Making for Autonomous Driving","version":3},"cited_work":{"arxiv_id":"2201.06157","doi":"10.48550/arxiv.2201.06157","metadata_source":"pith","pith_arxiv_id":"2201.06157","snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Potential Game-Based Decision-Making for Autonomous Driving","venue":"eess.SY","work_id":"3b8972ed-e38c-4379-9077-935ea675b8a9","year":2022},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:02.701863Z"},"links":{"cited_paper":"/paper/2201.06157","citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:f17c095f14e58ff9e017d8aa01d3cb053f6dd402a0dd51b37f15bbd04b54a510","observation_id":"e7a7bb9f-6fd7-422b-9442-0c9f4736e117","resolution":{"observed_at":"2026-08-05T13:30:08.762833Z","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":{"arxiv_id":"2103.12382","last_updated":"2021-03-23T08:31:29Z","snapshot_observed_at":"2026-07-06T10:52:28.765189Z","submitted_at":"2021-03-23T08:31:29Z","title":"Rule-Based Safety-Critical Control Design using Control Barrier Functions with Application to Autonomous Lane Change","version":1},"cited_work":{"arxiv_id":"2103.12382","doi":"10.48550/arxiv.2103.12382","metadata_source":"pith","pith_arxiv_id":"2103.12382","snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Rule-Based Safety-Critical Control Design using Control Barrier Functions with Application to Autonomous Lane Change","venue":"eess.SY","work_id":"3b7359bb-847b-408c-907a-6f1e1f1c9e8b","year":2021},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:02.589186Z"},"links":{"cited_paper":"/paper/2103.12382","citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:ac5661f8fbad8404ab1ddde6fc7ccd7d9bbe37101532f1ac755f2e0f2feb818c","observation_id":"7bae5381-8867-4585-a478-41822cfbfabb","resolution":{"observed_at":"2026-08-05T13:30:09.091625Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:02.861644Z","title":"Autonomous Vehicle Lane -Change Control Based on Model Predictive Control with Control Barrier Function,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:02.861644Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:5771d44197a20acf3ef3e0418740e77d4dffc07d1e1676c4661de9b5618d07d4","observation_id":"c6553f1f-c77d-4ec5-aaa7-92dbe8125330","resolution":{"observed_at":"2026-08-05T13:30:02.861644Z","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":"5044.2024","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:13.199545Z","title":"A Novel Online Safe Reinforcement Learning with Control Barrier Function Technique for Autonomous vehicles,","venue":null,"work_id":"cdb01db3-4781-4482-8045-6047e2415358","year":2024},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:02.784725Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:cf15cd19fc925f81f399228f0d02c954423bfa2844e6a6e2f52a051284a00111","observation_id":"e179f6b7-8b59-4cfe-bd23-049a1cafca65","resolution":{"observed_at":"2026-08-05T13:30:13.207666Z","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":"2021.31054","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:12.974510Z","title":"High- Order Control Barrier Functions,","venue":null,"work_id":"71314962-b626-489e-946d-906de5890cb9","year":2022},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:03.116653Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:c669f83c6eb3ca435184d5f7757e8cb384e8d8497603523c9466e9c9cce96961","observation_id":"5d9a8a02-f79b-4d69-b25e-623a59e21494","resolution":{"observed_at":"2026-08-05T13:30:12.986551Z","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":{"arxiv_id":"2109.12313","last_updated":"2022-05-31T03:50:39Z","snapshot_observed_at":"2026-07-06T11:51:15.150385Z","submitted_at":"2021-09-25T08:36:59Z","title":"Safety-Critical Control and Planning for Obstacle Avoidance between Polytopes with Control Barrier Functions","version":4},"cited_work":{"arxiv_id":"2109.12313","doi":"10.48550/arxiv.2109.12313","metadata_source":"pith","pith_arxiv_id":"2109.12313","snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Safety-Critical Control and Planning for Obstacle Avoidance between Polytopes with Control Barrier Functions","venue":"cs.RO","work_id":"90dd30bd-e31a-4747-ad45-2f71c3dac085","year":2021},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:02.988731Z"},"links":{"cited_paper":"/paper/2109.12313","citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:5b86254a62f97736ce6db664a7a576bb25914bb3866e79413dd329106f25e613","observation_id":"d053ebbb-25d8-4314-b063-093dd121f122","resolution":{"observed_at":"2026-08-05T13:30:08.483572Z","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":"10.1016/j.mechatronics.2017.11.009","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Real time implementation of socially acceptable collision avoidance of a low speed autonomous shuttle using the elastic band method,","venue":"Mechatronics","work_id":"38361f81-1d46-4f37-8d53-c8aeedce290d","year":2018},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:03.261602Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:6b1316fe4d0560092ebc8b331b61d3be2769dd1073e148bb3a72c1bdce6c8d65","observation_id":"b3df0ce2-61fd-42ec-8eba-9c377a0aea13","resolution":{"observed_at":"2026-08-05T13:30:08.004630Z","resolver_source":"doi","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":"10.3390/math12244015","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"High-Order Control Lyapunov–Barrier Functions for Real-Time Optimal Control of Constrained Non- Affine Systems,","venue":"Mathematics","work_id":"98daffde-d654-4b6f-b762-7b283e3a4114","year":2024},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:03.179579Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:dd4721cef7dc4818c54602955831f4221042d10d4f0e9d3b63f7a6221c4db9b1","observation_id":"4921a8ae-b94d-4447-966f-bfac7df8ee93","resolution":{"observed_at":"2026-08-05T13:30:08.217977Z","resolver_source":"doi","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":"10.3390/aerospace11040253","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Lunar Rover Collaborated Path Planning with Artificial Potential Field -Based Heuristic on Deep Reinforcement Learning,","venue":"Aerospace","work_id":"fd3ce238-d92f-4446-9fc8-806d69f441e6","year":2024},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:03.485370Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:7d527b95e54e998f64e7ef4c47b8dc2da8002be68d41c5545c1b6b33a19e03eb","observation_id":"f0e1d11a-418a-4a4a-b0a5-6c4ecfea507d","resolution":{"observed_at":"2026-08-05T13:30:07.917008Z","resolver_source":"doi","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:03.368722Z","title":"Development of a Collision Avoidance Algorithm Using Elastic Band Theory,","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:03.368722Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:c2867769d09839420df8a609d4d13464e72c40109d993c9e5a233e7846a2c6df","observation_id":"06517b94-dfcb-4cf5-9ad8-a08aa5395f0a","resolution":{"observed_at":"2026-08-05T13:30:03.368722Z","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":"docview/2612075","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:12.667093Z","title":"Path Planning and Robust Control of Autonomous Vehicles,","venue":null,"work_id":"50de288b-bc3a-4363-84b2-f4e54beca8ff","year":2020},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:03.681021Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:960963faa36b59bec8a8ff13a5ba122bd0cd48333a18c4d290a0595e03fa232b","observation_id":"eb82c954-159e-4b82-8ebc-d66385290fda","resolution":{"observed_at":"2026-08-05T13:30:12.676574Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:03.598803Z","title":"Spatio-Temporal Planning in Multi-Vehicle Scenarios for Autonomous Vehicle Using Support Vector Machines,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:03.598803Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:a140a4c6e4a6c640efd8533e179071565da62ad7b2c072a54bdc6d307d8b9aa7","observation_id":"10e16402-9ba2-4c93-97ad-369763ea613d","resolution":{"observed_at":"2026-08-05T13:30:03.598803Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-05T13:30:03.837658Z","title":"Deep Reinforcement Learning for Autonomous Driving: A Survey,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:03.837658Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:eb5ddf3ece1c3ca826e209cf354c494083e9f9e9b0b9fc1226d8ea405b8443cc","observation_id":"3e23992a-1d2f-469b-bc3a-ab721a6663cc","resolution":{"observed_at":"2026-08-05T13:30:03.837658Z","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":"10.4271/10-08-01-0001","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Emergency Obstacle Avoidance Trajectory Planning Method of Intelligent Vehicles Based on Improved Hybrid A*,","venue":"SAE International journal of vehicle dynamics, stability, and NVH","work_id":"6348d41b-f822-4657-917d-ea0d5f54b86b","year":2023},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:03.765644Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:1edc7d32375ff18ebff9370606f4c09797b66518a69e2972b1c721bc7e0bdd14","observation_id":"42a8e186-2967-4b97-bc56-7f1619caaeaf","resolution":{"observed_at":"2026-08-05T13:30:07.838321Z","resolver_source":"doi","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":"2021.31347","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:12.311817Z","title":"A Survey of Deep RL and IL for Autonomous Driving Policy Learning,","venue":null,"work_id":"3c1d1380-6ad5-4d3f-8462-366c701a2345","year":2022},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:04.038441Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:6d28bd59a4bcb5869e7aebce567b41b6e526337bf427d6f2cc483a9ed9c4964d","observation_id":"9eaf0fb2-9997-47f5-a658-b0fbda7476bb","resolution":{"observed_at":"2026-08-05T13:30:12.326511Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:03.955924Z","title":"A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:03.955924Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:a9eb6d1806bc3f4c7f3e4bf93a20effe9969fc053f8987e5391c3ec2b8c91630","observation_id":"cd713a4d-b6da-4fa9-af48-f74b0384b4d7","resolution":{"observed_at":"2026-08-05T13:30:03.955924Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2002.00434","last_updated":"2020-05-19T17:03:49Z","snapshot_observed_at":"2026-07-06T08:54:20.007652Z","submitted_at":"2020-02-02T17:10:19Z","title":"Integrating Deep Reinforcement Learning with Model-based Path Planners for Automated Driving","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.00434","snapshot_observed_at":"2026-08-05T13:30:04.228896Z","title":"Integrating Deep Reinforcement Learning with Model-based Path Planners for Automated Driving,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:04.228896Z"},"links":{"cited_paper":"/paper/2002.00434","citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:987f4f23b39fa584c3d35d4dd482e1b267aa348c589c4d9565ad550d8344960c","observation_id":"04a88edd-3ba2-41a0-afcc-ba713b886e53","resolution":{"observed_at":"2026-08-05T13:30:04.228896Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1807.00412","last_updated":"2018-09-11T13:56:13Z","snapshot_observed_at":"2026-08-07T14:56:31.383422Z","submitted_at":"2018-07-01T22:47:08Z","title":"Learning to Drive in a Day","version":2},"cited_work":{"arxiv_id":"1807.00412","doi":"10.48550/arxiv.1807.00412","metadata_source":"pith","pith_arxiv_id":"1807.00412","snapshot_observed_at":"2026-08-05T18:16:11.560912Z","title":"Learning to Drive in a Day","venue":"cs.LG","work_id":"d282e67d-c808-444b-8702-91042d8eea52","year":2018},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:04.134957Z"},"links":{"cited_paper":"/paper/1807.00412","citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:6176dae95f90cc9cd17da642ee0e80aa65ca3ddbf989e3fe77cc04fc2015ce83","observation_id":"69ca77cb-f526-4a07-81fb-d5dacc9ce777","resolution":{"observed_at":"2026-08-05T13:30:07.785852Z","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":"2019.0249","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:12.175483Z","title":"Deep reinforcement‐learning‐based driving policy for autonomous road vehicles - Makantasis - 2020 - IET Intelligent Transport Systems - Wiley Online Library","venue":null,"work_id":"e43cb8a0-41c4-4bb3-b2ab-42495932a856","year":2020},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:04.399513Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:fcf6f65019972881d9e061ee6db9497730ce899f7323d8f695b4ec8ef8c96e7d","observation_id":"51213373-1599-4718-9d74-01072a645564","resolution":{"observed_at":"2026-08-05T13:30:12.183866Z","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":"10.4271/10-07-03-0018","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"A Safety-Critical Decision-Making and Control Framework Combining Machine-Learning-Based and Rule-Based Algorithms,","venue":"SAE International journal of vehicle dynamics, stability, and NVH","work_id":"8b01b9cb-f247-4934-93f9-9af183644a1a","year":2023},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:04.315462Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:7570c6a2f618b61c3db9fd49aff090530f5b965c037f90852c2bb6c828a3b78c","observation_id":"537cdfa3-3213-4b55-8f13-6064fa975acb","resolution":{"observed_at":"2026-08-05T13:30:07.685672Z","resolver_source":"doi","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":"2019.89146","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:12.056456Z","title":"Autonomous Highway Driving using Deep Reinforcement Learning,","venue":null,"work_id":"d1bf3ed6-78e1-498c-9eb6-447d953157ed","year":2019},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:04.600617Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:f4ee6d6bda61d1de25f1584ccfafba61528edbd6121d79835f04c3e983bb1787","observation_id":"0981aee7-aaf8-49b3-8d6d-59f9de4b3515","resolution":{"observed_at":"2026-08-05T13:30:12.066374Z","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":"10.5220/0010908000003124","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Reinforced Damage Minimization in Critical Events for Self-driving Vehicles:,","venue":"Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","work_id":"fc602e88-c8c7-4400-b6b5-1acc4babbfdd","year":2022},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:04.508397Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:d0070b04475277b413dfb06506e76cf36513db6672204fa7a319d2c49a79fd5d","observation_id":"05aea908-b12c-4960-9bec-e131112377b7","resolution":{"observed_at":"2026-08-05T13:30:07.615899Z","resolver_source":"doi","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":{"arxiv_id":"2007.00178","last_updated":"2020-07-01T01:41:45Z","snapshot_observed_at":"2026-08-07T10:38:25.588940Z","submitted_at":"2020-07-01T01:41:45Z","title":"Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving","version":1},"cited_work":{"arxiv_id":"2007.00178","doi":"10.48550/arxiv.2007.00178","metadata_source":"pith","pith_arxiv_id":"2007.00178","snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving","venue":"cs.LG","work_id":"0d851585-781c-4925-8bd5-bfad9ebdad1b","year":2020},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:04.694843Z"},"links":{"cited_paper":"/paper/2007.00178","citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:a042ed1f0824c08b8bcb671d4f4536f99b1f94cc7c64afa84b718b3dcbc06468","observation_id":"c6c24c1e-41cd-4ab3-8fb4-5b061f13930f","resolution":{"observed_at":"2026-08-05T13:30:07.481287Z","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":"10.1007/s42154-","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:07.522468Z","title":"End- to-End Autonomous Driving Through Dueling Double Deep Q - Network,","venue":null,"work_id":"79c53683-79e2-4118-baae-54f4797773f8","year":2021},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:04.658903Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:c00f857378d35dc33adb37e59fcf659409159d6d623f6e8cf8511e256e76f63d","observation_id":"6c3f1b94-c2e2-4457-b1a5-173c0915c04c","resolution":{"observed_at":"2026-08-05T13:30:07.550282Z","resolver_source":"doi_truncated","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":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s41870-023-01412-6","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Deep reinforcement learning for autonomous vehicles: lane keep and overtaking scenarios with collision avoidance,","venue":"International Journal of Information Technology","work_id":"e9defab3-fde4-4201-b0ef-356126f7a587","year":2023},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:04.855362Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:c83da740a6ed31c9bc7d064b317c31f05c91a519879922c6279d8c2dac4c612c","observation_id":"5cbbc5f8-d502-4e96-b7b7-1f28a623684f","resolution":{"observed_at":"2026-08-05T13:30:07.322406Z","resolver_source":"doi","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":{"arxiv_id":"1807.02371","last_updated":"2018-08-31T13:28:49Z","snapshot_observed_at":"2026-08-10T12:52:47.481938Z","submitted_at":"2018-07-06T12:08:53Z","title":"End-to-End Race Driving with Deep Reinforcement Learning","version":2},"cited_work":{"arxiv_id":"1807.02371","doi":"10.48550/arxiv.1807.02371","metadata_source":"pith","pith_arxiv_id":"1807.02371","snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"End-to-End Race Driving with Deep Reinforcement Learning","venue":"cs.CV","work_id":"7c3af29f-bbdd-4911-9e88-c52df6ac7378","year":2018},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:04.790071Z"},"links":{"cited_paper":"/paper/1807.02371","citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:ca788256d16cff08e1e8c62946cd9357b3ed4d563dd213a128baed19f4856410","observation_id":"1bc9d875-d901-4bf8-bc4d-89e849ac7aa8","resolution":{"observed_at":"2026-08-05T13:30:07.406597Z","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":{"arxiv_id":"2401.05525","last_updated":"2024-01-10T19:43:12Z","snapshot_observed_at":"2026-08-10T13:13:10.452787Z","submitted_at":"2024-01-10T19:43:12Z","title":"Towards Safe Load Balancing based on Control Barrier Functions and Deep Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2401.05525","doi":"10.48550/arxiv.2401.05525","metadata_source":"pith","pith_arxiv_id":"2401.05525","snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Towards Safe Load Balancing based on Control Barrier Functions and Deep Reinforcement Learning","venue":"cs.NI","work_id":"b661689c-7a86-45db-a253-2db4c3356011","year":2024},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:05.082360Z"},"links":{"cited_paper":"/paper/2401.05525","citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:331b3757af185dad09cb8eee7d1fb5fb91b7ba0aa793e6c597a7ffe32e017a4f","observation_id":"e79abd1b-856f-4fe5-a742-4eb53f3a9aec","resolution":{"observed_at":"2026-08-05T13:30:07.242762Z","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":"2022.31678","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:11.941510Z","title":"Deep Reinforcement Learning-Based Driving Strategy for Avoidance of Chain Collisions and Its Safety Efficiency Analysis in Autonomous Vehicles,","venue":null,"work_id":"4d1f94c9-678d-4eac-af0e-e15eebe84313","year":2022},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:04.966629Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:a1c2d477c4e19282dbd0d2044008a7fed661d361025cbb6355be1654b7e65bc3","observation_id":"e43ef6c1-bb56-48d0-b55f-89f55eb7e7ec","resolution":{"observed_at":"2026-08-05T13:30:11.956195Z","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":"10.3390/electronics13101952","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Deep -Reinforcement-Learning- Based Collision Avoidance of Autonomous Driving System for Vulnerable Road User Safety,","venue":"Electronics","work_id":"8e10e4d0-fba4-41fa-934b-425a95a255cf","year":2024},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:05.262749Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:c1051d346f4e4e3631e6ad5844466504c7e4183374431ea6923f456a0d090b7f","observation_id":"7e03efcf-6d7b-440a-ade3-75222339f5e3","resolution":{"observed_at":"2026-08-05T13:30:09.627137Z","resolver_source":"doi","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":"10.3390/electronics14030557","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":"Electronics","work_id":"097bbc70-540f-46d2-9dc9-1a1a3eea9e07","year":2025},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:05.169449Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:2b16e8a269ba1c2206cc9f64562918050f9d93cddb1730db679421d53db02711","observation_id":"174d3db6-a780-476c-aa48-c7690648aeda","resolution":{"observed_at":"2026-08-05T13:30:07.171951Z","resolver_source":"doi","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":"10.3390/s22218317","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Optimization of On- Demand Shared Autonomous Vehicle Deployments Utilizing Reinforcement Learning,","venue":"Sensors","work_id":"2feab02c-8b68-410d-a5af-0b121083a88e","year":2022},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:05.459172Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:1ba3bc3fbe0377a2159c24c6e246ee03a8f632fb5aedfbd7e8d1d4acfde006b4","observation_id":"da12a763-0931-4a73-8e70-5107699c940f","resolution":{"observed_at":"2026-08-05T13:30:06.905924Z","resolver_source":"doi","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":"10.48550/arxiv.2505.03841","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Contact -Aware Safety in Soft Robots Using High- Order Control Barrier and Lyapunov Functions,","venue":"arXiv (Cornell University)","work_id":"fafe86b0-da5a-4cba-bbf5-4360e57209c3","year":2025},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:05.357376Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:7214fe51899b4f45d698de241e5ab17d3a33aec620644a7cf95b50c581add3e4","observation_id":"f08214d2-892d-41a2-88ac-3124d5abba0f","resolution":{"observed_at":"2026-08-05T13:30:07.079735Z","resolver_source":"doi","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:05.633646Z","title":"Q-learning,","venue":null,"work_id":null,"year":1992},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:05.633646Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:e560766a4aed00273b7581d85ff985ea75b2d6deae01804530190b8e35e67f8b","observation_id":"f66b05e1-9094-4e7d-b581-2a2e363224fe","resolution":{"observed_at":"2026-08-05T13:30:05.633646Z","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":"10.3390/electronics12224670","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Autonomous Vehicle Decision- Making with Policy Prediction for Handling a Round Intersection,","venue":"Electronics","work_id":"450953b5-aa63-46f2-8453-5bc7dc1e8ecd","year":2023},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:05.584031Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:28d9ae77726d2da3042cf75e582926c096d3c7e435f0de51dd0386766f08c1c1","observation_id":"3686d57f-0b1d-4974-8ab4-cb6828ed269b","resolution":{"observed_at":"2026-08-05T13:30:06.828401Z","resolver_source":"doi","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:05.719153Z","title":"Human-level control through deep reinforcement learning,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:05.719153Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:dc499a8ceecd1ea8fcd2068e964505f20d9cae1a9541c29e69da092eccfa5186","observation_id":"951df8c2-d057-431d-a50c-7ad071f500a1","resolution":{"observed_at":"2026-08-05T13:30:05.719153Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1312.5602","last_updated":"2013-12-19T16:00:08Z","snapshot_observed_at":"2026-07-06T03:31:23.521122Z","submitted_at":"2013-12-19T16:00:08Z","title":"Playing Atari with Deep Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1312.5602","snapshot_observed_at":"2026-08-05T13:30:05.683118Z","title":"Playing Atari with Deep Reinforcement Learning,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:05.683118Z"},"links":{"cited_paper":"/paper/1312.5602","citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:f231a2bdfd51d73396c066f37dd4c47a574055b13a62976e7b786b9ef5a06c0f","observation_id":"728e3bd0-f947-44dc-9fe5-af05fa94553c","resolution":{"observed_at":"2026-08-05T13:30:05.683118Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1511.06581","last_updated":"2016-04-05T09:03:06Z","snapshot_observed_at":"2026-08-10T06:38:22.014739Z","submitted_at":"2015-11-20T13:07:54Z","title":"Dueling Network Architectures for Deep Reinforcement Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1511.06581","snapshot_observed_at":"2026-08-05T13:30:05.836139Z","title":"Dueling Network Architectures for Deep Reinforcement Learning,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:05.836139Z"},"links":{"cited_paper":"/paper/1511.06581","citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:b7927280f65601ae4abdc3b82500ca749188b267b7ca5546d889c55b6b411690","observation_id":"d9d45893-440d-4930-bb0b-7b4c117ebc31","resolution":{"observed_at":"2026-08-05T13:30:05.836139Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1509.06461","last_updated":"2015-12-08T21:19:16Z","snapshot_observed_at":"2026-08-07T14:09:19.448496Z","submitted_at":"2015-09-22T04:40:22Z","title":"Deep Reinforcement Learning with Double Q-learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1509.06461","snapshot_observed_at":"2026-08-05T13:30:05.776137Z","title":"Deep Reinforcement Learning with Double Q - learning,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:05.776137Z"},"links":{"cited_paper":"/paper/1509.06461","citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:543f56326b3b1daeb9452a054b32d139d2e3673c54e929a90df3dbd4f1d0d4ed","observation_id":"d15de7d6-296b-4e10-ba06-ebe256046c7b","resolution":{"observed_at":"2026-08-05T13:30:05.776137Z","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":"2026-08-05T13:30:05.918771Z","title":"Policy Gradient Methods for Reinforcement Learning with Function Approximation,","venue":null,"work_id":null,"year":1999},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:05.918771Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:d6c2f76f3b35fb0bb2ffc9cc1d035058b0546c5281dfdf5dbfe6d1e86f6c7d2d","observation_id":"a45bad1d-7522-44ec-b6ea-25bcc8f6ee1e","resolution":{"observed_at":"2026-08-05T13:30:05.918771Z","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":"2026-08-05T13:30:05.879673Z","title":"Simple statistical gradient- following algorithms for connectionist reinforcement learning,","venue":null,"work_id":null,"year":1992},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:05.879673Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:d52aa7d3892459f8c9a478514847a987d7e26c1f1d3b5c80a2101073b1cddedf","observation_id":"8cebd191-4837-46d6-9dfd-c9c94f2fc97a","resolution":{"observed_at":"2026-08-05T13:30:05.879673Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1707.06347","last_updated":"2017-08-28T09:20:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-07-20T02:32:33Z","title":"Proximal Policy Optimization Algorithms","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1707.06347","snapshot_observed_at":"2026-08-05T13:30:06.028275Z","title":"Proximal Policy Optimization Algorithms,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:06.028275Z"},"links":{"cited_paper":"/paper/1707.06347","citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:886a2758b56191c189feb4dd4f94c33fdc370d0b3b09a7d4257d28ae7c30e9df","observation_id":"2d2746ac-5fe8-486a-a01c-e4b5b1c5be5c","resolution":{"observed_at":"2026-08-05T13:30:06.028275Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1602.01783","last_updated":"2016-06-16T16:38:45Z","snapshot_observed_at":"2026-07-06T04:45:11.148515Z","submitted_at":"2016-02-04T18:38:41Z","title":"Asynchronous Methods for Deep Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1602.01783","snapshot_observed_at":"2026-08-05T13:30:05.954112Z","title":"Asynchronous Methods for Deep Reinforcement Learning,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:05.954112Z"},"links":{"cited_paper":"/paper/1602.01783","citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:6d9083a781c3c81e2adbc94f84afea00b1e8cd8b6f21bf3712e343c8a0ff2e5e","observation_id":"5c76b908-f463-42d1-9255-92feef361b61","resolution":{"observed_at":"2026-08-05T13:30:05.954112Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1801.01290","last_updated":"2018-08-08T21:27:08Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2018-01-04T09:50:50Z","title":"Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1801.01290","snapshot_observed_at":"2026-08-05T13:30:06.100258Z","title":"Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:06.100258Z"},"links":{"cited_paper":"/paper/1801.01290","citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:cd1eefc9c2954ecb14dd9fad0bb2cbcfa0eb64d059d9ce75464502faa63eaba8","observation_id":"08e40889-e487-4297-9dbf-b764e800224b","resolution":{"observed_at":"2026-08-05T13:30:06.100258Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1509.02971","last_updated":"2019-07-05T10:47:27Z","snapshot_observed_at":"2026-07-06T04:29:24.362640Z","submitted_at":"2015-09-09T23:01:36Z","title":"Continuous control with deep reinforcement learning","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1509.02971","snapshot_observed_at":"2026-08-05T13:30:06.063170Z","title":"Continuous control with deep reinforcement learning,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":99,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:06.063170Z"},"links":{"cited_paper":"/paper/1509.02971","citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:14f992c0b21c6db69bcb7a8f2ef4f2297a84f9ce2b6296bd832446e63490f8d2","observation_id":"ea73c508-e5ec-4fc6-b72e-349bf1a6f962","resolution":{"observed_at":"2026-08-05T13:30:06.063170Z","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":"2026-08-05T13:30:06.174505Z","title":"Leurent, An Environment for Autonomous Driving Decision- Making","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":100,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:06.174505Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:cbdee3127fdf82647314510854dd3f6d75126a526e135193c7860f6b1ccf7c8a","observation_id":"1448a9a2-f76a-473e-b3c0-4dcc8413de0b","resolution":{"observed_at":"2026-08-05T13:30:06.174505Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1802.09477","last_updated":"2018-10-22T17:37:07Z","snapshot_observed_at":"2026-07-06T06:25:26.844090Z","submitted_at":"2018-02-26T17:54:49Z","title":"Addressing Function Approximation Error in Actor-Critic Methods","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.09477","snapshot_observed_at":"2026-08-05T13:30:06.137532Z","title":"Addressing Function Approximation Error in Actor-Critic Methods,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":101,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:06.137532Z"},"links":{"cited_paper":"/paper/1802.09477","citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:acef99aee5b82fcd848adaa00f603cc94b834118ca6b554f1244285b971f39a1","observation_id":"1c5a5c76-4e37-4e54-8173-a6c83a95a1e9","resolution":{"observed_at":"2026-08-05T13:30:06.137532Z","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":"2026-08-05T13:30:06.228759Z","title":"A Novel Integrated Simulation and Testing 84 Platform for Self-Driving Cars With Hardware in the Loop,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety","version":1},"reference_index":102,"source":"pdf_text","source_observed_at":"2026-08-05T13:30:06.228759Z"},"links":{"citing_paper":"/paper/2509.00624"},"observation_digest":"sha256:701a3001a0d4734cf0dbdad0402a5f6c3f19634cefe1c7b50ac1d263f6aa9ceb","observation_id":"0772ada3-8da4-45a7-8516-3cb8bfe3c6cc","resolution":{"observed_at":"2026-08-05T13:30:06.228759Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2509.00624","last_updated":"2025-08-30T22:43:14Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-08T09:20:08.905909Z","submitted_at":"2025-08-30T22:43:14Z","title":"Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":5,"metadata_mismatch":4,"parse_uncertain":0,"unresolved":49,"verified_exact":42,"verified_fuzzy":0},"total_outbound_references":107},"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 100 of 107 outbound references and 0 inbound Pith citation observations for arXiv:2509.00624."}