{"as_of":"2026-08-10T08:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:33e2435b808aea6a3d77332c551b86f01b46171d4bd40d386872b154f2cfb224","coverage":[{"denominator":55,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":55,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T04:49:08.218546Z","state":"measured"},{"denominator":56,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":56,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-10T00:38:30.267653Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-11T13:46:04.085727Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"cited_work":{"arxiv_id":"2506.09512","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.09512","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A survey on the role of artificial intelligence and machine learning in 6G-V2X applications","venue":null,"work_id":"cf814f99-faf7-4b07-bfc1-6b7a35bff9c3","year":2025},"citing_paper":{"arxiv_id":"2604.22852","last_updated":"2026-04-22T08:02:18Z","snapshot_observed_at":"2026-08-05T09:01:09.084167Z","submitted_at":"2026-04-22T08:02:18Z","title":"SwarmDrive: Semantic V2V Coordination for Latency-Constrained Cooperative Autonomous Driving","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-10T00:38:30.267653Z"},"links":{"cited_paper":"/paper/2506.09512","citing_paper":"/paper/2604.22852"},"observation_digest":"sha256:5ab95f748693a72a2d6f8dcc0b79c4973a379de07df2905f08ff19a9eba3b962","observation_id":"252a93b3-acd3-4a3c-a342-4fb6c1f0549e","resolution":{"observed_at":"2026-05-11T13:46:04.088903Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.09512/citation-record","integrity":"/paper/2506.09512/integrity","json":"/paper/2506.09512/citation-record.json","paper":"/paper/2506.09512"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:17.445469Z","title":"6g for vehicle-to-everything (v2x) communications: Enabling technologies, challenges, and oppor- tunities,","venue":null,"work_id":"3085e75e-5671-4e26-a6ca-71aacf211afe","year":2022},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:03.181908Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:3d9159933dad017f663ef474913780199974723e5c2f0b97cddb51b9812e144f","observation_id":"86c5bc9a-8c49-4a93-8bc3-44b55f188303","resolution":{"observed_at":"2026-08-07T04:49:17.611552Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:17.152967Z","title":"Study on new radio (nr) to support non-terrestrial networks,","venue":null,"work_id":"92caf469-e2c4-4789-99f6-53d94ccf483b","year":2022},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:03.259125Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:281480f64121989555b4af3281c7e70639e89d23d66b77fe1f22f3625de0b9fe","observation_id":"75de7130-e856-4a1e-9e3b-84a267618b52","resolution":{"observed_at":"2026-08-07T04:49:17.283670Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:16.913312Z","title":"Performance evaluation of the ieee 802.11 p wave communication standard,","venue":null,"work_id":"fe267e2a-a351-4b74-ae52-54d6f3427f7b","year":2007},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:03.391426Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:695cc25c5d3d4b34acc67b1d52444ef6b8f7f2bbbedcccffc01316b82734a27e","observation_id":"9860b180-6aef-41d1-8cb4-09d54115c89e","resolution":{"observed_at":"2026-08-07T04:49:17.012497Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:16.628950Z","title":"Study on LTE-based vehicle-to-everything (V2X) services,","venue":null,"work_id":"24ddfb24-c463-4126-8839-045650bdf03d","year":2016},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:03.516394Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:9952e16e96e94fc8cd50705e12780129c30b7860d55f0e45178cc1f965d1c2be","observation_id":"7a4086f4-de32-4cd2-9556-97c618f3b7a9","resolution":{"observed_at":"2026-08-07T04:49:16.771896Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:16.399870Z","title":"Study on NR vehicle-to-everything (V2X); (Re- lease 16),","venue":null,"work_id":"013d5c9c-fd0d-4f70-a456-bf54ea247a77","year":2019},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:03.624656Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:b3b0c2d0c2ba09640748c91f1e3cd4a0f7ee0b9ab7fce122161a6b877dbc6e34","observation_id":"02aae9e6-544f-461e-ba14-aba2eed4f0fb","resolution":{"observed_at":"2026-08-07T04:49:16.511267Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:16.326170Z","title":"Summary for RAN Rel-18 package,","venue":null,"work_id":"81e4ed49-3192-4f65-961a-35e7b7e49b3c","year":2021},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:03.788953Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:2db87b1dbfe6ce268c648d3defb78ac47c1bdb81320dacef8353e32d1d1b9dee","observation_id":"961cf126-ea7c-44c9-8af3-0872e5e22f6a","resolution":{"observed_at":"2026-08-07T04:49:16.394038Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:16.211171Z","title":"Toward a 6g ai-native air interface,","venue":null,"work_id":"72b9e21f-b753-45f8-8bc7-2a82bb185a4d","year":2023},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:03.916558Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:ee4167b8107a8ee28df7ebc29cf0041ba86283415534fba9ed735d34373e766c","observation_id":"ad440016-0522-4930-9d7a-f096785e5cb3","resolution":{"observed_at":"2026-08-07T04:49:16.255144Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:16.102920Z","title":"6g research visions white paper series,","venue":null,"work_id":"1c3868bb-c75b-4a92-98c1-a8837982fc0a","year":2023},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:04.079261Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:97fc33e3043945aec028b154f66834590d3bbb81309e919554bc3d8a15ba657a","observation_id":"fb99ed09-ccdc-47f8-8f78-7b7c22654b5d","resolution":{"observed_at":"2026-08-07T04:49:16.156070Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:16.002362Z","title":"Res6edge: An edge-ai enabled resource sharing scheme for c-v2x communications towards 6g,","venue":null,"work_id":"46eadf68-0ab4-4151-a327-2b1b356d3248","year":2021},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:04.104899Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:21d6abf11615deb8a4339883579c1f0e6501c6b5c93c0de4f195134df372eac4","observation_id":"64e36db2-e18e-4818-88b6-878daa793c83","resolution":{"observed_at":"2026-08-07T04:49:16.047164Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:15.913169Z","title":"Artificial intelli- gence for vehicle-to-everything: A survey,","venue":null,"work_id":"15dc273f-65c8-4681-8014-e486cfa8d18a","year":2019},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:04.248488Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:a05e970b749896c1666f55e9703bd70183c1f173a66014ad7f68a0dcaaf45471","observation_id":"e2254e5a-1ad6-4c14-bdb2-1bf0c8402a14","resolution":{"observed_at":"2026-08-07T04:49:15.956611Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:15.797377Z","title":"Artificial intelligence and machine learning as key enablers for v2x communications: A comprehensive survey,","venue":null,"work_id":"c96d0938-ef37-439f-8db0-5245ebad7306","year":2023},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:04.356332Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:be60dd25871ea21caba2c50f43761d1cfd19d3c4eb4a83bb91bc41951e3e0c43","observation_id":"30cd41f2-d0e1-4e73-9cc5-7db091cd7a53","resolution":{"observed_at":"2026-08-07T04:49:15.859241Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:15.683323Z","title":"Application of artificial intelligence in traffic control system of non- autonomous vehicles at signalized road intersection","venue":null,"work_id":"5eaa587e-743a-430d-97bb-35c14dc184df","year":2020},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:04.502065Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:3a4f9c7a32e6c7f0d9aff24e0a89d1252a6246f91ec16f3b76cd9734351a2efd","observation_id":"b6e26ad3-dea5-488d-a7da-5036ff6bbfc4","resolution":{"observed_at":"2026-08-07T04:49:15.751236Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:15.567277Z","title":"Artifical intelligence: New paradigm in deep space exploration,","venue":null,"work_id":"bda498fc-e1de-4e12-ae4b-a39b3371b0be","year":2021},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:04.616443Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:9180fb87823cc5b61d33d059f338ce72c0a3cea3bde26d3e8c433625ceb4ec99","observation_id":"369993d0-af23-4717-a4a4-9691593d189c","resolution":{"observed_at":"2026-08-07T04:49:15.638656Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:15.468872Z","title":"Machine learning technologies for secure vehicular communication in internet of vehicles: recent advances and applications,","venue":null,"work_id":"5ead3183-2603-4bf2-99d3-8dc168ffacea","year":2021},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:04.737009Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:8893536526c0ae6a4120ebd64ed72c11a532a961f588467fb35f8fedf975ec15","observation_id":"bf1b7f22-f5b4-448e-91e5-865981f8d01b","resolution":{"observed_at":"2026-08-07T04:49:15.505834Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:15.301076Z","title":"Deep reinforcement learning based dynamic reputation policy in 5g based vehicular communication networks,","venue":null,"work_id":"8cbf4187-6926-48e6-92f5-007f6a9e50fb","year":2021},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:04.796790Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:cdbc2cd2b92e0a5a2ba1de0dad8bf5a9fcf4be4320da263189f5eed7c078f094","observation_id":"d749e782-acfa-42fb-a680-2d44827e5e5c","resolution":{"observed_at":"2026-08-07T04:49:15.410398Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:15.109035Z","title":"Machine learning in vehicular networking: An overview,","venue":null,"work_id":"dc5f7cc2-54e5-4dbd-964b-89591a8d9ac2","year":2022},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:04.908131Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:d09d34b13aa4cde4cf8b189703f3dea1054b370e763f8e16ade2decc927ee7f4","observation_id":"d0ff5859-15ce-49d8-a4b9-2777f3c1fab0","resolution":{"observed_at":"2026-08-07T04:49:15.220318Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:14.883157Z","title":null,"venue":null,"work_id":"c20ae661-d6ff-488d-ba68-3d2970216934","year":2018},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:05.022484Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:bcf2c20757f848471f04bcdbdfb239ea1f7afc91ff34286371dbbc8308e52f24","observation_id":"9ef20154-ba40-4d04-8d63-f2272ef62be4","resolution":{"observed_at":"2026-08-07T04:49:15.012205Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:14.778903Z","title":"Evolving artificial neural networks,","venue":null,"work_id":"36c21fbb-8b07-4c73-a601-bd9baea9fcb9","year":1999},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:05.105221Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:1981446e97f5af2e70d0e4168712e64ae1577a3d933533a3f36f683177eaa06e","observation_id":"02e3809b-a90a-412e-bd80-9dc82694c8c8","resolution":{"observed_at":"2026-08-07T04:49:14.814512Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:14.596332Z","title":"Deep reinforcement learning for energy-efficient 6g v2x networks,","venue":null,"work_id":"97613efb-56be-495b-99e3-306d9f520391","year":2025},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:05.192172Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:4c0014d62c7f55dc7bd30c7e7c736690ad4d6aa26592fe4f6c2139fb72100ec0","observation_id":"4ef9e552-8420-40a6-ae16-305d6e6da383","resolution":{"observed_at":"2026-08-07T04:49:14.680135Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:14.400634Z","title":"Survey of deep reinforcement learning for motion planning of autonomous vehicles,","venue":null,"work_id":"94fea4bd-3555-418f-a6ec-9edc6feae0e0","year":2020},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:05.286830Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:38d970fbce2270fb021e1a39434f4b4c9ea50754c2b036ddfe7855b134ad6481","observation_id":"c0f4e04e-5321-4e4c-92ad-e882c8b25ba5","resolution":{"observed_at":"2026-08-07T04:49:14.508620Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:14.206342Z","title":"A review on generative adversarial networks: Algorithms, theory, and applications,","venue":null,"work_id":"24cd23c3-8264-4586-85b0-4dee21bcf659","year":2021},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:05.357114Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:1cbddace9e807108d83ed0f39be31988ed18d23bcafda9af82dae2615b2e9fd4","observation_id":"70fae3c3-6d89-46df-bce0-3a3a65a87f42","resolution":{"observed_at":"2026-08-07T04:49:14.306380Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1606.05908","last_updated":"2021-01-03T16:56:46Z","snapshot_observed_at":"2026-08-04T06:56:29.565877Z","submitted_at":"2016-06-19T21:02:30Z","title":"Tutorial on Variational Autoencoders","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1606.05908","snapshot_observed_at":"2026-08-07T04:49:05.452545Z","title":"Tutorial on variational autoencoders,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:05.452545Z"},"links":{"cited_paper":"/paper/1606.05908","citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:5abb9b09b9bc891666e6aa870ee06f83460eff9febc66968e30ef5e3d9fcbb3f","observation_id":"285846b9-c8c8-4532-adbd-75de216fc6e9","resolution":{"observed_at":"2026-08-07T04:49:05.452545Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:13.998911Z","title":"Generative ai-enabled vehicular networks: Fundamentals, framework, and case study,","venue":null,"work_id":"35cf8306-cb9e-4947-aebe-dc59500c28e2","year":2024},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:05.557002Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:503e488f901500d592bb8095cb6fc273dcf538dae3473675296d66bd7d79193e","observation_id":"34f10ccb-3d9d-46c0-bde8-d2fc6a8ef007","resolution":{"observed_at":"2026-08-07T04:49:14.093793Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.18223","last_updated":"2026-03-18T05:34:39Z","snapshot_observed_at":"2026-08-06T23:27:24.356320Z","submitted_at":"2023-03-31T17:28:46Z","title":"A Survey of Large Language Models","version":19},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.18223","snapshot_observed_at":"2026-08-07T04:49:05.670681Z","title":"A survey of large language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:05.670681Z"},"links":{"cited_paper":"/paper/2303.18223","citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:f35993baa174be2c5fb9aa8b40cca48ab2b9f7a4edb6a974a77bb0730b014e5c","observation_id":"f960f485-d527-4e4d-afc2-09c68e1ed41b","resolution":{"observed_at":"2026-08-07T04:49:05.670681Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.13238","last_updated":"2024-12-19T04:30:24Z","snapshot_observed_at":"2026-08-09T13:29:22.989877Z","submitted_at":"2024-12-17T16:45:27Z","title":"SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.13238","snapshot_observed_at":"2026-08-07T04:49:05.736798Z","title":"Safedrive: Knowledge- and data-driven risk-sensitive decision- making for autonomous vehicles with large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:05.736798Z"},"links":{"cited_paper":"/paper/2412.13238","citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:e762ba62588f09a66e2a29016de88631599052aa95ffd64d5521ab6fecbd48eb","observation_id":"ed208e29-3929-408d-8265-90a803b13b2e","resolution":{"observed_at":"2026-08-07T04:49:05.736798Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-07T04:49:05.797911Z","title":"Gpt-4 technical report,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:05.797911Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:f757ffed9b14bf0d2e695c398d2e1bd99b59e00d1c25fd9609f47a3ab280d57c","observation_id":"e186828a-f74c-458c-a902-ee6abb911313","resolution":{"observed_at":"2026-08-07T04:49:05.797911Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:13.791416Z","title":"6g wireless systems: Vision, requirements, challenges, insights, and opportunities,","venue":null,"work_id":"d56162d0-0035-45e0-a74f-4743d2bbe1b8","year":2021},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:05.886723Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:0ce69f578ebed057dc6e08de15225d14497fb8a175a159aec782354894ad2df3","observation_id":"478c62a7-c099-44ed-a536-b865fd6b2652","resolution":{"observed_at":"2026-08-07T04:49:13.896608Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:13.599101Z","title":"Connectgpt: Connect large language models with connected and automated vehicles,","venue":null,"work_id":"c5e7ecc1-0a90-43f0-b01a-c01bb1b18193","year":2024},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:05.953000Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:aeba6085f9e4eb2342ce11754c76a1f77eafc6ad465ab0faf731e21aa672b82e","observation_id":"7ff470af-20e6-4407-91cc-e3723cac7d97","resolution":{"observed_at":"2026-08-07T04:49:13.698740Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:13.302192Z","title":"Survey of llms and ai agents in v2x: Simulation, analysis & architectures,","venue":null,"work_id":"d2d4eae6-7e82-41e3-be9c-4c3ce6d8c0d3","year":2025},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:06.021999Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:1550af95498cdfee4c15261c46ff86c65346992f1a3ad6158465fd2012ba2ee6","observation_id":"01c068d2-d865-408c-8ce1-abd90efdceea","resolution":{"observed_at":"2026-08-07T04:49:13.452275Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:13.089916Z","title":"Distributed federated learning for ultra-reliable low-latency vehicular communi- cations,","venue":null,"work_id":"c0609937-7f89-4d9e-b89e-d6228ffadc0d","year":2019},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:06.087554Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:5d104b41fd411d751420dfbde0572afcd024e13d331dd2f60521fb331c789dc0","observation_id":"6e668ec1-7076-44eb-a0fa-e48fda213ef6","resolution":{"observed_at":"2026-08-07T04:49:13.156964Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:12.824657Z","title":"Decentralized identity management and privacy-enhanced federated learning for automotive systems: A novel framework,","venue":null,"work_id":"a52a77e1-25ab-4150-8770-ae72a199ce77","year":2024},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:06.160274Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:c1f9c9a3a32ad2d5bfc81f5e7bd49022dd5c7e74c2afdead4d588dad6b0a5bde","observation_id":"ccbd037e-a92d-4c36-9e1c-58a5f0e4a599","resolution":{"observed_at":"2026-08-07T04:49:12.960219Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:06.237817Z","title":"A survey on federated learning in intelligent transportation systems,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:06.237817Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:5bbae1331acd3c66a57122047c89e337f4790249c33fd10589a443ac0fa0eeb9","observation_id":"3f157226-603f-4a08-b500-aabc8b143869","resolution":{"observed_at":"2026-08-07T04:49:06.237817Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:12.503033Z","title":"Integrated networking, caching, and computing for connected vehicles: A deep reinforcement learning approach,","venue":null,"work_id":"eedaf889-9a4b-4220-8564-e09527c9c05f","year":2017},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:06.333387Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:b2c2bb4d4aceefa711d4925896020d30778b4869515fba695f2b6b4e8b3ec9a1","observation_id":"24ab0d97-23d2-407b-9048-c672a481567b","resolution":{"observed_at":"2026-08-07T04:49:12.625828Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:12.220492Z","title":"Graph neural networks and deep reinforcement learning based resource allocation for v2x communications,","venue":null,"work_id":"caedebed-9dd4-4ac0-8c88-fa7e25d4396f","year":2024},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:06.428260Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:f530cc39acbce4997cbefd661d43fab5e1ef724734d104a24556c067c7760ea3","observation_id":"cf5ee88d-4d72-4529-9307-8da3ddb946d8","resolution":{"observed_at":"2026-08-07T04:49:12.353416Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:11.970439Z","title":"Event-triggered reinforcement learning based joint resource allocation for ultra-reliable low-latency v2x communi- cations,","venue":null,"work_id":"bf560cab-59ad-4e99-9a3d-92ae4b7d8ae3","year":2024},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:06.518277Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:4617deed0d74d6586de69a138961919c1e03d7830395a63fb6b5b70c570dd73d","observation_id":"b45a224b-69a0-4ff4-b719-c17792dae903","resolution":{"observed_at":"2026-08-07T04:49:12.064551Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:11.703131Z","title":"Resource allocation in large language model integrated 6g vehicular networks,","venue":null,"work_id":"0e5fcee9-3f6d-46fd-87ce-d0e16302233b","year":2024},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:06.605043Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:19d6d7dae90bc087d113c4aa6c1978961d17b8d90b6fb113eb5cef0c658d96da","observation_id":"7464aa32-5d91-42f5-968b-04b3ac80ddaf","resolution":{"observed_at":"2026-08-07T04:49:11.835055Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:11.419600Z","title":"Federated learning-based resource allocation for v2x communications,","venue":null,"work_id":"4d4625d1-5484-44e8-beee-6df9f0ccd645","year":2024},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:06.675583Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:712159558ee97e55066fd74fdbc3cbbd6c52720eae92b4059267a704ba89d44d","observation_id":"7faa87a6-4caf-4098-becf-f0fe112c1e87","resolution":{"observed_at":"2026-08-07T04:49:11.551845Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:11.212451Z","title":"Federated learning empowered computation offloading and resource management in 6g-v2x,","venue":null,"work_id":"31feb07e-b8ab-414c-8324-c08498bfc3a7","year":2021},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:06.772233Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:d6f946cafe951bd935a071e49e391d6dd3428f504fb0dc8abebe77f3d5002247","observation_id":"22309fda-ec70-40d4-9663-ba9879746ff9","resolution":{"observed_at":"2026-08-07T04:49:11.323999Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.16146","last_updated":"2021-05-22T11:11:08Z","snapshot_observed_at":"2026-07-06T11:24:39.717173Z","submitted_at":"2021-05-22T11:11:08Z","title":"6G V2X Technologies and Orchestrated Sensing for Autonomous Driving","version":1},"cited_work":{"arxiv_id":"2106.16146","doi":null,"metadata_source":"pith","pith_arxiv_id":"2106.16146","snapshot_observed_at":"2026-08-07T04:49:08.300870Z","title":"6G V2X Technologies and Orchestrated Sensing for Autonomous Driving","venue":"cs.NI","work_id":"0d9e38dd-336c-4e44-8248-5e5b3e375548","year":2021},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:06.859147Z"},"links":{"cited_paper":"/paper/2106.16146","citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:7f6d9e2e442c5dc518de48dbec31b90bb676f5a755260bd20b95928d95071f47","observation_id":"5ae31ea5-e05e-466e-8099-744f2e909257","resolution":{"observed_at":"2026-08-07T04:49:08.397604Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:11.084972Z","title":"Multiple-input multiple- output (mimo) radar: Performance issues,","venue":null,"work_id":"92a1d70a-8901-475c-ab5a-b4b7257d4593","year":2004},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:06.923905Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:a31a367b5cbee9da7a621b6e1218b171ee92d8c0f0a8048e6986117583703dd8","observation_id":"effc82fe-f177-483d-8524-8f4f317d1e87","resolution":{"observed_at":"2026-08-07T04:49:11.133735Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:10.949707Z","title":"Deep learning-based channel esti- mation and tracking for millimeter-wave vehicular communications,","venue":null,"work_id":"3c8956b6-da0d-42df-ab04-557d021ca00c","year":2020},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:06.995996Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:6047178cb04f0a7b22d2710de03e5124af75d5dfd601504413158bf02a1fe187","observation_id":"ce844247-ad66-4032-89f4-a81221cc31ff","resolution":{"observed_at":"2026-08-07T04:49:11.011860Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:10.744574Z","title":"Federated learning-based joint radar- communication mmwave beamtracking with imperfect csi for v2x communications,","venue":null,"work_id":"1a7eadbd-5e06-41f2-9f33-2e49fd3adc5e","year":2023},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:07.066918Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:5d4cf17f405757d6b5afb76211b36e8b129ccbca40deb5e3372f34be05280fd8","observation_id":"6895acee-61de-4eef-9cab-a5a9bea80bbb","resolution":{"observed_at":"2026-08-07T04:49:10.841923Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:10.572102Z","title":"Federated learning mm wave beamform- ing for v2x communications with imperfect csi and doppler shift,","venue":null,"work_id":"ad21e4c9-b8f2-415e-9b14-331d42135583","year":2024},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:07.131307Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:0ca0a60f99961910e185a7c6de852faecad6457f404fc52bad473e3c64c1f87f","observation_id":"e1305163-e256-4dc7-a1b8-ff670641ceb2","resolution":{"observed_at":"2026-08-07T04:49:10.633110Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:10.405220Z","title":"Modern- izing transit: Intelligent traffic and transportation management with artificial intelligence in the era of 5g and 6g,","venue":null,"work_id":"8ac63987-d626-487f-931d-1aee0d1d8a72","year":2025},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:07.215243Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:dc2d9b323bf7629cfe70e0d7df67da3975fcaeefc47c5c1882ce67e6a40b0e7a","observation_id":"b9e286b2-59b6-4255-a500-b413daa4c5f6","resolution":{"observed_at":"2026-08-07T04:49:10.456316Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:10.215827Z","title":"Advanced traffic demand generation in sumo: Ml-based prediction of flow rate based on real-world measured datasets,","venue":null,"work_id":"6a2ad2bb-5b38-41ba-b4c5-3ff8e08c7d02","year":2024},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:07.310837Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:3dbeb1f832390a53795248e0f7502ca71e420da2ef4a2cd5196d28d6a895a7a8","observation_id":"2606618f-c3d0-4467-a639-bff4fcab735f","resolution":{"observed_at":"2026-08-07T04:49:10.287105Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:10.039280Z","title":"Intelligent road network management supported by 6g and deep reinforcement learning,","venue":null,"work_id":"6df5a9c1-b095-4fa3-82ac-0ca036316d44","year":2024},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:07.398170Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:c4afdf76acad0d300f985e6650c21b06d2eab5a989053c326b38d89be9a70265","observation_id":"de8a7b97-101b-4285-8df0-8af117ad5f74","resolution":{"observed_at":"2026-08-07T04:49:10.125822Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:09.848165Z","title":"Harnessing 6g technology for seamless autonomous vehicle commu- nication and performance enhancement,","venue":null,"work_id":"ad66dd4f-b38c-4936-8bef-8c9fc1e190d6","year":2024},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:07.489667Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:712212c0c69fd7faa95742fa5591db3afc6df0c8f1e884eabe8ccf91c08c9aeb","observation_id":"989cab4e-3666-4029-9085-411672e78b7d","resolution":{"observed_at":"2026-08-07T04:49:09.943652Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:09.621376Z","title":"Bfledge: Blockchain based federated edge learning scheme in v2x underlying 6g communications,","venue":null,"work_id":"d2098638-2a3a-4ca3-ac4c-a20842cd8243","year":2022},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:07.613036Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:28f9182df3da9e7f96d1700c27fe1fe123864f0d6dceffd239197a8f0e1e9aaf","observation_id":"4f84e3dc-b4be-4c2c-9b27-b659d427f252","resolution":{"observed_at":"2026-08-07T04:49:09.731377Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:09.522948Z","title":"Ai-empowered secure data communication in v2x environment with 6g network,","venue":null,"work_id":"7e90ddf9-c79f-4e2c-ab68-65da66e697de","year":2022},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:07.730031Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:899ee6a9204255bf879fe1a537dc9fe51ca044b4be117968ad8f2bbe56f279cc","observation_id":"19a506b1-52a1-48e9-8145-c2964f2b09f9","resolution":{"observed_at":"2026-08-07T04:49:09.562804Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:09.338024Z","title":"Ar- tificial intelligence powered internet of vehicles: securing connected vehicles in 6g,","venue":null,"work_id":"3e2e7c4a-a2d1-47ef-8765-b870eba74579","year":2024},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:07.839963Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:05df5a63066cb077c12887537cc5b29f55eed9d6b6eaaed2fb1ae24beb057e0e","observation_id":"09945d8c-805f-4dd8-943d-c58dd8dd2a11","resolution":{"observed_at":"2026-08-07T04:49:09.445901Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:09.215893Z","title":"Towards 6g-enabled internet of vehicles: Security and privacy,","venue":null,"work_id":"185c5d38-bdee-4b1f-8c85-0119fbef34a4","year":2022},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:07.942900Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:79a5ea6a979286a9168bebc5a02754953e614400a257cd643eb54980e34fe55b","observation_id":"50117971-9663-48d6-a424-c76fc15d33ff","resolution":{"observed_at":"2026-08-07T04:49:09.271146Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:09.047675Z","title":"Fedvps: Federated learning for privacy and security of internet of vehicles on non-iid data,","venue":null,"work_id":"378c1f05-fc68-4e2e-9351-75f86b736226","year":2023},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:07.995417Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:11e92e05272b5c60e6fe2b1742e7ab1b42e9e6fba3a0ae56d0e864f1d2357a3e","observation_id":"c34b21d7-2a72-4ff2-aa51-5b658cfbacab","resolution":{"observed_at":"2026-08-07T04:49:09.116823Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:08.902875Z","title":"Research on network security and privacy protection technology of autonomous vehicle,","venue":null,"work_id":"b9ff339f-7f93-4682-b856-053bd9c192c1","year":2024},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:08.079266Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:db5fa0638d880c8455a0130138fae88fe3edc61991ca0bf43a16309ddf216b6f","observation_id":"59fd4dd7-6cf6-4603-b26b-f62ae5678210","resolution":{"observed_at":"2026-08-07T04:49:08.984198Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:08.725442Z","title":"Towards 6g-enabled internet of vehicles: Security and privacy,","venue":null,"work_id":"aaeee7eb-7ca8-4331-b1f2-3a962b7a2301","year":2022},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:08.146802Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:c040f29ebbe808aa5dd3a19f7b491fd21329ddf54fc029b859a84df41775ae8a","observation_id":"94ff4bfa-0210-479e-8d0d-1d68d2f5e430","resolution":{"observed_at":"2026-08-07T04:49:08.808433Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:49:08.564001Z","title":"Towards 6g v2x sidelink: Survey of resource allocation-mathematical formulations, challenges, and proposed solu- tions,","venue":null,"work_id":"e6b755db-891f-4cab-bdc0-140d26f7631b","year":2024},"citing_paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-07T04:49:08.218546Z"},"links":{"citing_paper":"/paper/2506.09512"},"observation_digest":"sha256:b8b7872961d91a25504928b0dd18bbf3d0373b24dceb769f0a16456834056cad","observation_id":"20a76404-f74f-4b19-b64c-fbb2dda061e4","resolution":{"observed_at":"2026-08-07T04:49:08.634883Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.09512","last_updated":"2025-06-11T08:36:18Z","latest_version":1,"primary_category":"eess.SY","snapshot_observed_at":"2026-08-07T04:44:17.097383Z","submitted_at":"2025-06-11T08:36:18Z","title":"A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications"},"reference_resolution":{"displayed":55,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":1,"verified_fuzzy":48},"total_outbound_references":55},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 1 inbound Pith citation observation for arXiv:2506.09512."}