{"as_of":"2026-08-07T10:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3010005591c9214f8d791938c5fd99576ac2eb3e00a0c6c09f8bc5db0f06e406","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":"2026-08-07T06:34:17.273281+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":"2026-08-05T13:29:51.966383Z","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":"sha256:6b19a60d6aec5bccbb50527685889d3d806aafa2943d60aa218d13560b14f314","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":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:11.435761Z","title":"Investigating the Role of Roadway Environment in Driving Errors: An on Road Study,","venue":null,"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":"2026-08-05T13:29:51.966383Z","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":"sha256:3f7443381bfb8fe63798293528791de17dc1a5b8728f9aa32fb9d55191ddebcc","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1177/154193120404801661","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:11.412334Z","title":"Relationship between Infrastructure, Driver Error, and Critical Incidents,","venue":null,"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":"2026-08-05T13:29:51.966383Z","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":"sha256:8d873b42dbdd5b52ff66e9afc390588e12e096769750c32ca1ae6c751cdf3ed3","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T13:29:51.966383Z","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":"sha256:8a226387481428208453615cb5bcf3e902da3421348914f5b62787ff1efa3344","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":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:11.388864Z","title":"Review of tracking and object detection systems for advanced driver assistance and autonomous driving applications with focus on vulnerable road users sensing,","venue":null,"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":"2026-08-05T13:29:51.966383Z","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":"sha256:7b7526f79f0d2730590feb6e6c9e28bfa78b8e74e0e03ea23875a53ea2c16015","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T13:29:51.966383Z","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:f3cae4dc3c2d5b5da80a8bd72911594e2d92c711119fe7e72dc7a25bc97a316b","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":"2026-08-05T13:29:51.966383Z","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":"sha256:0c19e3cb0704818882b7623e0f3ffb6023f712549a24f4d18f322f5e650de84a","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":"2026-08-05T13:29:51.966383Z","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:d4fbf26b470d13ad3d76b8c5b142822ca82ccd222c546ba7d56acd27f3a4f185","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":"2026-08-05T13:29:51.966383Z","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:a6aeb03df1e288c1483452b5f62786980d3f04e6aeca0bb7643c592a9cb9b57c","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":"2026-08-06T13:49:06.825657Z","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":"2026-08-05T13:29:51.966383Z","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":"sha256:6c95ef5bc6a21d48e3f628006466a20ca7ccc809fe28682c65bc7d7481615b26","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":"2026-08-05T13:29:51.966383Z","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":"sha256:1a7c08358f28fddeccc996442ba35bbe1d3ea0806d7218f7ed526c72dc2a2da4","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":"2026-08-05T13:29:51.966383Z","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":"sha256:7b1dfc3240f1e1f1008b106e17973a9eb5ed296cc061b337eb2f054bb6dc170c","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":"2026-08-05T13:29:51.966383Z","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":"sha256:7e57e537e19f41cf1fa1fd733be7d934f851baf7b7d9ab9ef2f2392a4a5a54a1","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":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:11.258682Z","title":"YOLOv8-CB: Dense Pedestrian Detection Algorithm Based on In- Vehicle Camera,","venue":null,"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":"2026-08-05T13:29:51.966383Z","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":"sha256:09cdbfab824c032877e5bd98c5fbb3e15bc984e7f70d85d171ec955ccdda0aa8","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T13:29:51.966383Z","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":"sha256:282277b898fdfcb4af6b2c59d1f23260dd10cf752dc2e9f3b47c9d441311fb53","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":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:11.226043Z","title":"Lidar Data Analysis for Time to Headway Determination in the DriveSafe Project Field Tests,","venue":null,"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":"2026-08-05T13:29:51.966383Z","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:e362e370a245362b26b7a3b1eecded158a7046a0b84d4219d58869f1e9d7fe74","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/electronics13020331","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:11.196014Z","title":"Vulnerable Road User Safety Using Mobile Phones with Vehicle-to-VRU Communication,","venue":null,"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":"2026-08-05T13:29:51.966383Z","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:cdde2e23c8b5cc60122f6aa66f22d8a7a179dca87030747e21236207476125c5","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1812.05784","last_updated":"2019-05-07T02:00:24Z","snapshot_observed_at":"2026-07-06T07:21:09.757138Z","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":"2026-08-05T13:29:51.966383Z","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":"sha256:989780c4ed13defc51e80db7a5f8cc8dce1cbfe8dabf05c731737c15e39b4867","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":"2026-08-07T10:13:09.033328Z","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":"2026-08-05T18:16:11.560912Z","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":"2026-08-05T13:29:51.966383Z","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:ddfcb1b970401fcd0d995009362c6165fcd529adb6b2239fe9ffe653eb2e97f7","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T13:29:51.966383Z","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":"sha256:472f43ef2f3b3ab46700b58d47a63ebf1cb40180a63273f86eccbdbabe76e36a","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":"2026-08-05T13:29:51.966383Z","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:f6ab7291de5da442fc5bb9431a47646195666e2e1da01889e15dced1724f5aed","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":"2026-08-05T13:29:51.966383Z","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:a83685cffcf8dae2e30b912dfd6d0af9d34cbe51bcbdbf48f57fc6210ec29e13","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":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:11.068953Z","title":"A LiDAR–Camera Fusion 3D Object Detection Algorithm,","venue":null,"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":"2026-08-05T13:29:51.966383Z","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:e050db454b5f82bcda80c8556f9f72096156872e6e128b35588039d2f94cfd0d","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/s24092942","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:11.042231Z","title":"LiDAR -Based Intensity- Aware Outdoor 3D Object Detection,","venue":null,"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":"2026-08-05T13:29:51.966383Z","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":"sha256:6f674209cf94437bcf57fdc3fd778c5a49c595b63837d7efd0765d38fe5fc633","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T13:29:51.966383Z","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":"sha256:940199fcf840540f49a11921f3ca3aa40e42ffd71dfcd788a74f16f648e5d864","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":"2026-08-05T13:29:51.966383Z","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":"sha256:6d31bcf9f919a346a28cf3226889e349ebffbe4c6ec693cb1c83c634d714fb5a","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":"2026-08-05T13:29:51.966383Z","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":"sha256:945a514ba20bae205dc77d18d6453f4202d8d45538330e1859609aec99543773","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":"2026-08-05T13:29:51.966383Z","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":"sha256:711e10472ab48f22b293ed4b6e8bd7b2680e85df4ba6566ae54174298378f3e0","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":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:11.011691Z","title":"Disturbance Observer- Smith Predictor Compensation-Based Platoon Control with Estimation Deviation,","venue":null,"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":"2026-08-05T13:29:51.966383Z","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":"sha256:926bab8a75f07cbc09729b4d68f30a42de29835fcfe392d55a78ef315bc54a68","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.4271/2024-01-2558","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:10.981813Z","title":"Path Planning and Robust Path Tracking Control of an Automated Parallel Parking Maneuver,","venue":null,"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":"2026-08-05T13:29:51.966383Z","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":"sha256:35a50b698239567ebb1cc217f269899512540fa28b8a5f7ad09b7ade9ef3c26c","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T13:29:51.966383Z","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":"sha256:775e65014210bfdbb4606309f5f264fce5b217dfe4a0cecc3605ac46b93ea93d","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":"2026-08-05T13:29:51.966383Z","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:a79f1d8fdeac8ebcd8fafcd627bd95523ca73607a088ab5f044cac2c8bb18170","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":"2026-08-05T13:29:51.966383Z","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:be63562e874baa4a943a755b6d069151f372a217388c403c05e331a2af7e994a","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":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:10.910445Z","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":"2026-08-05T13:29:51.966383Z","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":"sha256:45b09dca2a2b880836637469d0bbbfb51409f53a294a00ae9d86601f8138a153","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T13:29:51.966383Z","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":"sha256:6efc156373be1b42f14731858fd647bd0868b182c79f7bebaf77e4b5d74918c1","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":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:10.765204Z","title":"Development and Evaluation of Path and Speed Profile Planning and Tracking Control for an Autonomous Shuttle Using a Realistic, Virtual Simulation Environment,","venue":null,"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":"2026-08-05T13:29:51.966383Z","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:f7bcece3fde92743982724bc13370a94bbab181336d96a923108ef1f436cb515","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:10.579079Z","title":"Trajectory Planning of Autonomous Vehicles Based on Parameterized Control Optimization in Dynamic on-Road Environments,","venue":null,"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":"2026-08-05T13:29:51.966383Z","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":"sha256:2715521bb3ae3d230a09679db0310d4ec21394506f61a86479fc317fedde9aea","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.4271/2018-01-1182","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:10.355581Z","title":"Localization and Perception for Control and Decision Making of a Low Speed Autonomous Shuttle in a Campus Pilot Deployment,","venue":null,"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":"2026-08-05T13:29:51.966383Z","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":"sha256:218dbf66adfad722de5953a39e0940e19e6284aa34238d25bb99917e6f0374a5","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T13:29:51.966383Z","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":"sha256:8a480abbe1c4c3e76a6c4541703ff5f37d601ef7fbb1c0a6c7af10d63b40c17c","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":"2026-08-05T13:29:51.966383Z","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":"sha256:4ba7ee37a0d1c3b9564d382f3427b9e661e5db2f22629d458de08b4715651f94","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":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:10.152813Z","title":"Socially Acceptable Collision Avoidance System for Vulnerable Road Users,","venue":null,"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":"2026-08-05T13:29:51.966383Z","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:e26dd7d9576ae48832d60f217afbeed212bb5b264c51fea6c82a09bf4fb657fa","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/electronics13244901","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:10.042110Z","title":"General Obstacle Avoidance Capability Assessment for Autonomous Vehicles,","venue":null,"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":"2026-08-05T13:29:51.966383Z","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":"sha256:446a2e49987f2d71f47ec336a37be5a1981675c0b63649b722ba8a251f8faa51","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/electronics12234765","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:09.805555Z","title":"Autonomous Vehicle Emergency Obstacle Avoidance Maneuver Framework at Highway Speeds,","venue":null,"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":"2026-08-05T13:29:51.966383Z","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":"sha256:4cbfeb3c7d39d12dd1c7bd75511903a3ca28c21ac3da06f30a387641934e5e6f","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/s23115088","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:09.249212Z","title":"Vehicle -in-Virtual- Environment (VVE) Method for Autonomous Driving System Development, Evaluation and Demonstration,","venue":null,"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":"2026-08-05T13:29:51.966383Z","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":"sha256:2af5efbc7ae1b5dd63ef777fedbf1fc7546c8e2705ebb6e76b3bfac5bd607fe0","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T13:29:51.966383Z","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":"sha256:420b46c1f59399185437430a04d019370e816b591cde375d0521dc6b677a5ffc","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":"2026-08-05T13:29:51.966383Z","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:cf2a26da3b114d73ee651e68268c7edab0f3706761bf4a5e5587e0ac7615ed63","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":"2026-08-05T13:29:51.966383Z","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":"sha256:4770f8ab01ad6563182be14e4d28e67954a864193a8c56eca968097031809bd7","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":"2026-08-05T13:29:51.966383Z","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:d2c80a87dd64ec8f2c71d91ec8f022867e2c9d1b8037f5e545a7532d5bdf6160","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":"2026-08-05T13:29:51.966383Z","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":"sha256:144f0e155418469783d6ecb1f4d88835c3aba4b9b92215520cd6d2850f686bf6","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":"2026-08-05T13:29:51.966383Z","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":"sha256:68b53fa25585c20f7067dfc0f996d168c311b04aa73d09554792f9ba7d57c74d","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":"2026-08-05T13:29:51.966383Z","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":"sha256:6da2cec39ec44df4a9c23dd29cad52fc8ed10f3c71e8e3e90b8c8920de046354","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":"2026-08-05T13:29:51.966383Z","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":"sha256:98408f7f29ff6ce0c989467b7e9e2b2c18b4c59292a06efab5153b2494eca504","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T13:29:51.966383Z","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:d7316c75ef20424857cf37cece060f3aed43e5b020ab9509ab807e8efa5e84d3","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":"2026-08-05T18:16:11.560912Z","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":"2026-08-05T13:29:51.966383Z","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":"sha256:3405036629f65f7f2b0afb53604ee8a655ebc10c1548de8aa41a458c8e2faf0b","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T18:16:11.560912Z","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":"2026-08-05T13:29:51.966383Z","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":"sha256:1df38501e7e5ff6d4c4f7a79fc235aab8f94a3a2f5d5aa5a5cd00f97d38682e2","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T13:29:51.966383Z","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:f03abfb0336ad8874fb4f06c3606a3fd75af684fe5c16df4388aad6cc8837af6","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":"2026-08-05T13:29:51.966383Z","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:f100095ec1dfc0c296a806913de9ccc600cb7ed9efdb1e71b38c5ab474461065","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T13:29:51.966383Z","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:fac60f411b63e918faa417a4ed51fbeb592f0762bb1bd73fd3669118903437d5","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T18:16:11.560912Z","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":"2026-08-05T13:29:51.966383Z","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:afe4594b77217fa82e781aca77fe8fa789bb645e37492b25a6df062a60d9c495","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:07.960902Z","title":"Real time implementation of socially acceptable collision avoidance of a low speed autonomous shuttle using the elastic band method,","venue":null,"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":"2026-08-05T13:29:51.966383Z","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":"sha256:55a029cee188bb3ee1b1b2ab81309ebda35ab511d63a16a89ca9307a91859aad","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/math12244015","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:08.086006Z","title":"High-Order Control Lyapunov–Barrier Functions for Real-Time Optimal Control of Constrained Non- Affine Systems,","venue":null,"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":"2026-08-05T13:29:51.966383Z","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":"sha256:80020668e22592e96d42a99fc1ed3494668ade6f76461f35c51e49fe236c519b","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/aerospace11040253","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:07.865898Z","title":"Lunar Rover Collaborated Path Planning with Artificial Potential Field -Based Heuristic on Deep Reinforcement Learning,","venue":null,"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":"2026-08-05T13:29:51.966383Z","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:e5104fec115fff80cb702e8855594162f2c6a33779ca7c39b4b0f5acf14a5a49","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T13:29:51.966383Z","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:a51c92fdf2781370ae62e00a1bc7fad34010c77af24ba25376857f79c4f03fe3","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":"2026-08-05T13:29:51.966383Z","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":"sha256:5d64787f72f6d647e23e74570f29bfaf0eb84c483b27aab8858a16162d569736","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T13:29:51.966383Z","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:d01d31ae4c47987cc46f087f7403d5004ca956a748558d68f0ae8bc37df9f5e7","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":"2026-08-05T13:29:51.966383Z","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:f1f0bdd36187d6e5128617d0a02e31410431c402291fa751135568a09ceaf775","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":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:07.827983Z","title":"Emergency Obstacle Avoidance Trajectory Planning Method of Intelligent Vehicles Based on Improved Hybrid A*,","venue":null,"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":"2026-08-05T13:29:51.966383Z","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":"sha256:0cadc4c1a8335f8b53ab86646f4219f5facc1bc828bd5c2e6b100ea3777e3e92","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T13:29:51.966383Z","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:b7a33dd019a1f6454247f96d0bb2e3a9d329bbdb71317bab9777f17f7b451ea7","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T13:29:51.966383Z","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:b387ca1abafd3f475592d386e847a5d1857b7905f2b1b0a0e88bc28c5a82719b","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":"2026-08-05T13:29:51.966383Z","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":"sha256:636ee12f6fa191a04d398c744849a9c38286c8b9abc7da47a29e8dfbd321c941","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":"2026-08-05T11:45:57.118785Z","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":"2026-08-05T13:29:51.966383Z","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":"sha256:420a516838f62b99acfd656c5bb4e444dd51728b6c71a022701617257a72e3fd","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T13:29:51.966383Z","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":"sha256:1722eac05a4e691fb6fa6a7c7136a8c2898e4d587bab4e6a736e4d8651ab4c59","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:07.665071Z","title":"A Safety-Critical Decision-Making and Control Framework Combining Machine-Learning-Based and Rule-Based Algorithms,","venue":null,"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":"2026-08-05T13:29:51.966383Z","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":"sha256:367d7c0a431f8f33a5dfddf172e629dec0c11bec62a07e7c1d5aea116ee40ae2","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T13:29:51.966383Z","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":"sha256:8b51a4ec9e5d96f0e244fb84c09468ea7748297beed20ddc187051c094b7dcfb","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.5220/0010908000003124","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:07.584481Z","title":"Reinforced Damage Minimization in Critical Events for Self-driving Vehicles:,","venue":null,"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":"2026-08-05T13:29:51.966383Z","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":"sha256:0cbb47f3accf32b89f562e1a1eabe202b1a675c338ff6e7b2be2913a8eadbf9f","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2007.00178","last_updated":"2020-07-01T01:41:45Z","snapshot_observed_at":"2026-07-06T09:34:18.640570Z","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":"2026-08-05T18:16:11.560912Z","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":"2026-08-05T13:29:51.966383Z","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:d48f9889095302598db4efd188d6e3f583a7f1439f95ea018b44af905912a55b","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T13:29:51.966383Z","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:f9ce0da162df25aab2daaa4928d2333b9672ac2a2034405d12e1d9912990f39f","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:07.288480Z","title":"Deep reinforcement learning for autonomous vehicles: lane keep and overtaking scenarios with collision avoidance,","venue":null,"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":"2026-08-05T13:29:51.966383Z","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:c9cfe78e47dfee0afdcd7da163c68de96ecdbe3150427f2e897636c8732fc7ca","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1807.02371","last_updated":"2018-08-31T13:28:49Z","snapshot_observed_at":"2026-08-03T16:51:36.015040Z","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":"2026-08-05T18:16:11.560912Z","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":"2026-08-05T13:29:51.966383Z","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":"sha256:8b6d31089b68c0c16e735f80f4b9daf4563580ba4a5c5ddd6ad5d977158ea73f","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.05525","last_updated":"2024-01-10T19:43:12Z","snapshot_observed_at":"2026-08-04T00:19:31.901833Z","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":"2026-08-05T18:16:11.560912Z","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":"2026-08-05T13:29:51.966383Z","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:cf96a38bc9b6ad5d0c113e634f17886f89368a5e1e0a6db745b75d883bd82e6d","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T13:29:51.966383Z","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":"sha256:5d65b831331bb16da7e9d761b8c334396ebceb852c076ec7166232d297fc59dc","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/electronics13101952","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:09.485848Z","title":"Deep -Reinforcement-Learning- Based Collision Avoidance of Autonomous Driving System for Vulnerable Road User Safety,","venue":null,"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":"2026-08-05T13:29:51.966383Z","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":"sha256:937ba0a5d29602dbeab1d6b60ac849378b49f4a13f78d07e51ed52917c882d44","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/electronics14030557","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:07.143656Z","title":null,"venue":null,"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":"2026-08-05T13:29:51.966383Z","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":"sha256:0b226d385abee7895365ffcbce50bb846696e5123dde1f9d03c5254404d5a2d9","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/s22218317","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:06.877882Z","title":"Optimization of On- Demand Shared Autonomous Vehicle Deployments Utilizing Reinforcement Learning,","venue":null,"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":"2026-08-05T13:29:51.966383Z","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:be521c91f792b8cfbea3c48145f5c53efd9f32f2b1f1f4b6afe3ada494814ce6","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.48550/arxiv.2505.03841","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:07.046544Z","title":"Contact -Aware Safety in Soft Robots Using High- Order Control Barrier and Lyapunov Functions,","venue":null,"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":"2026-08-05T13:29:51.966383Z","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:b58d09aefe12ce50fc3fd284335f60e6beef0bf917f8971fcab6a5e586de826e","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T13:29:51.966383Z","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":"sha256:6fd5f20aa572834805c50c860bc8b66b5fcb30e675776b32317da44964a3e1e8","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":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:30:06.786931Z","title":"Autonomous Vehicle Decision- Making with Policy Prediction for Handling a Round Intersection,","venue":null,"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":"2026-08-05T13:29:51.966383Z","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":"sha256:5eca3e74486abca6086a51ca25be5d378a24e6345a10c637e1538bc2083cc500","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T13:29:51.966383Z","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:a6ebb807193e892d38a8cd7e1084ffb96731ae1cdd38856a736f611ea89cc08c","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":"2026-08-05T13:29:51.966383Z","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":"sha256:80a6150f56f012c7fc47384ae3c8cc69a9a79f665c31dec7c1879361852e751f","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":"2026-07-06T04:37:12.487978Z","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":"2026-08-05T13:29:51.966383Z","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":"sha256:66713cae095caff6b0cb5a9c22a69468ff98fc92e82bd33a151ccaedf1eb39a6","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":"2026-07-06T04:30:38.456342Z","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":"2026-08-05T13:29:51.966383Z","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":"sha256:7ae9df71cf0a395af6aaee524145851af93d36f30442144c96cb199a5cd44a19","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":"2026-08-05T13:29:51.966383Z","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:c48263addacd51e624201f25ef1fd663e1a4151182d40f87bfe0a756278f3abf","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":"2026-08-05T13:29:51.966383Z","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:ba0aabcbd0d2a3899af26b6c09d828762fe41b984753c32479768e3206a44321","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":"2026-08-05T13:29:51.966383Z","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":"sha256:248773f5d1079694ca598386226566b511d78bc788c696b631dcb33b9c667dd0","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":"2026-08-05T13:29:51.966383Z","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":"sha256:170c5ac5c6994c1d62083bdbaa0b434e2b26619373b3beb3b7e7d2d1fd201426","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":"2026-08-05T13:29:51.966383Z","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":"sha256:460de66750a623e506acf4b6c79673414ea8817b9c02a251b37e34c71a6fd26c","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":"2026-08-05T13:29:51.966383Z","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":"sha256:1f156324e203db876c8d48c334d41811b21a5e71d665a8bc13faa0aca34ea099","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":"2026-08-05T13:29:51.966383Z","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":"sha256:04bc3035c604e9eea4caacc7e797cbf2cd82dcd06f1ce64fc800e9306a105804","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":"2026-08-05T13:29:51.966383Z","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:b1d83d176b2f4e2505988efdc88f8246c2fefbc1835d6aeb2fdf1e84280d670b","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":"2026-08-05T13:29:51.966383Z","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":"sha256:96dcab332add347493291a4ebf6c08899a3b4312d0b8906b1d66ce793d753660","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":"2026-08-05T13:29:51.966383Z","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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 100 of 107 outbound references and 0 inbound Pith citation observations for arXiv:2509.00624."}