{"as_of":"2026-08-16T05:41:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:34fd0f481c2451cb0c9f6f9e1683f2cb92d059384e836c2dd1449337db3e8ecb","coverage":[{"denominator":31,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":31,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T00:32:33.380209Z","state":"measured"},{"denominator":31,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":31,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+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/2608.07621/citation-record","integrity":"/paper/2608.07621/integrity","json":"/paper/2608.07621/citation-record.json","paper":"/paper/2608.07621"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:32:33.993528Z","title":null,"venue":null,"work_id":"9fa1a420-511b-43a2-92be-39b3969f12f5","year":2024},"citing_paper":{"arxiv_id":"2608.07621","last_updated":"2026-08-07T09:00:39Z","snapshot_observed_at":"2026-08-15T17:50:29.772494Z","submitted_at":"2026-08-07T09:00:39Z","title":"CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T00:32:33.254461Z"},"links":{"citing_paper":"/paper/2608.07621"},"observation_digest":"sha256:7dbf66a127b9ae07819538daf47b6f4be9529fc2a8e70e45835a6ea10c87bb1b","observation_id":"6f17b84e-ea8b-4562-a9d7-4df5810a4400","resolution":{"observed_at":"2026-08-11T00:32:33.997495Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T00:32:33.259377Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.07621","last_updated":"2026-08-07T09:00:39Z","snapshot_observed_at":"2026-08-15T17:50:29.772494Z","submitted_at":"2026-08-07T09:00:39Z","title":"CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T00:32:33.259377Z"},"links":{"citing_paper":"/paper/2608.07621"},"observation_digest":"sha256:18d1ce44003536b613e59ba6a10212769a5376ea38fe727349e3b5575633c395","observation_id":"83fdd980-8759-4f05-885d-28f4d6d6f01f","resolution":{"observed_at":"2026-08-11T00:32:33.259377Z","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":"2026-08-11T00:32:33.971718Z","title":"IEEE International Conference on Robotics and Automation (ICRA) (2026)","venue":null,"work_id":"03fc40bc-f6fa-4dad-9546-25a6d4de845d","year":2026},"citing_paper":{"arxiv_id":"2608.07621","last_updated":"2026-08-07T09:00:39Z","snapshot_observed_at":"2026-08-15T17:50:29.772494Z","submitted_at":"2026-08-07T09:00:39Z","title":"CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T00:32:33.263485Z"},"links":{"citing_paper":"/paper/2608.07621"},"observation_digest":"sha256:0c2940ed99149429fadf21168533d7502f03cd87f138a766e27d7d790c09ba4d","observation_id":"ddfed32b-a5de-4d16-a7e6-d7d67cfe3a72","resolution":{"observed_at":"2026-08-11T00:32:33.975850Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T00:32:33.957791Z","title":"IEEE International Conference on Robotics and Automation (ICRA) (2026)","venue":null,"work_id":"0816143f-c7e2-46e0-93af-26707735a7ee","year":2026},"citing_paper":{"arxiv_id":"2608.07621","last_updated":"2026-08-07T09:00:39Z","snapshot_observed_at":"2026-08-15T17:50:29.772494Z","submitted_at":"2026-08-07T09:00:39Z","title":"CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T00:32:33.267649Z"},"links":{"citing_paper":"/paper/2608.07621"},"observation_digest":"sha256:048d487d5a75c6a1a64fc4cdabda89fe0111d0895151973864a51ee29f5853cd","observation_id":"2606130b-10a4-412f-b049-bc1adf0e5328","resolution":{"observed_at":"2026-08-11T00:32:33.962240Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T00:32:33.944310Z","title":"In: The Thirteenth International Conference on Learning Representations (2026)","venue":null,"work_id":"b1e70a48-b207-4891-a591-83533ef1323a","year":2026},"citing_paper":{"arxiv_id":"2608.07621","last_updated":"2026-08-07T09:00:39Z","snapshot_observed_at":"2026-08-15T17:50:29.772494Z","submitted_at":"2026-08-07T09:00:39Z","title":"CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T00:32:33.272539Z"},"links":{"citing_paper":"/paper/2608.07621"},"observation_digest":"sha256:97bcb91066aa1931354914b961e043e87987212d93865b73c7abb60b47126e63","observation_id":"6ab68127-512e-4c4d-bbff-a9f0462c79c6","resolution":{"observed_at":"2026-08-11T00:32:33.948544Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2605.10904","last_updated":"2026-05-11T17:44:34Z","snapshot_observed_at":"2026-07-06T23:22:47.781940Z","submitted_at":"2026-05-11T17:44:34Z","title":"MDrive: Benchmarking Closed-Loop Cooperative Driving for End-to-End Multi-agent Systems","version":1},"cited_work":{"arxiv_id":"2605.10904","doi":null,"metadata_source":"pith","pith_arxiv_id":"2605.10904","snapshot_observed_at":"2026-08-11T00:32:33.793449Z","title":"MDrive: Benchmarking Closed-Loop Cooperative Driving for End-to-End Multi-agent Systems","venue":"cs.RO","work_id":"2a0a3585-9dc8-4ce1-b6cb-9200e8f99cb5","year":2026},"citing_paper":{"arxiv_id":"2608.07621","last_updated":"2026-08-07T09:00:39Z","snapshot_observed_at":"2026-08-15T17:50:29.772494Z","submitted_at":"2026-08-07T09:00:39Z","title":"CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T00:32:33.277019Z"},"links":{"cited_paper":"/paper/2605.10904","citing_paper":"/paper/2608.07621"},"observation_digest":"sha256:2cb115114116b7b1892822c5ba083878e0b87dcd9263b9a20be520c4b4fd5f84","observation_id":"2053c597-60de-4055-abbd-84aa38e0cf29","resolution":{"observed_at":"2026-08-11T00:32:33.797748Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T00:32:33.929482Z","title":"In: Conference on Robot Learning (CoRL) (2017)","venue":null,"work_id":"caac372c-963b-4e11-b7e2-3f413241698d","year":2017},"citing_paper":{"arxiv_id":"2608.07621","last_updated":"2026-08-07T09:00:39Z","snapshot_observed_at":"2026-08-15T17:50:29.772494Z","submitted_at":"2026-08-07T09:00:39Z","title":"CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T00:32:33.281789Z"},"links":{"citing_paper":"/paper/2608.07621"},"observation_digest":"sha256:90eb99eacf2ba5b7322f3e3bebc49523b7409ad1c6006f805ea79f9db42fe2a6","observation_id":"46046b3b-8c04-4b61-bde6-6c8bad630913","resolution":{"observed_at":"2026-08-11T00:32:33.934437Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1155/2014/259465","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:32:33.424765Z","title":"International Journal of Vehicular Technology2014(1), 259465 (2014).https://doi.org/https://doi","venue":null,"work_id":"f671be7f-7f8e-4e10-8117-736c0b7db57f","year":2014},"citing_paper":{"arxiv_id":"2608.07621","last_updated":"2026-08-07T09:00:39Z","snapshot_observed_at":"2026-08-15T17:50:29.772494Z","submitted_at":"2026-08-07T09:00:39Z","title":"CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T00:32:33.285787Z"},"links":{"citing_paper":"/paper/2608.07621"},"observation_digest":"sha256:caadb7494e65b3f964c50a0f01242ad1d0637bf99c09ebc965405a0fed36e1ae","observation_id":"f910be9d-bc74-405b-856b-6c22e14cefcb","resolution":{"observed_at":"2026-08-11T00:32:33.430283Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-14T23:38:15.217891+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-14T23:38:15.217891+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T00:32:33.289680Z","title":"In: International Conference on Learning Representations (ICLR) (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.07621","last_updated":"2026-08-07T09:00:39Z","snapshot_observed_at":"2026-08-15T17:50:29.772494Z","submitted_at":"2026-08-07T09:00:39Z","title":"CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T00:32:33.289680Z"},"links":{"citing_paper":"/paper/2608.07621"},"observation_digest":"sha256:9dbfde59df9129375a5e3c99c53aec540692179c693e77c854d37835e05f9333","observation_id":"a8c0bdd1-ecb5-4b75-a8ee-c59b636ad41a","resolution":{"observed_at":"2026-08-11T00:32:33.289680Z","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":"2026-08-11T00:32:33.293222Z","title":"arXiv preprint arXiv:2512.16760 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.07621","last_updated":"2026-08-07T09:00:39Z","snapshot_observed_at":"2026-08-15T17:50:29.772494Z","submitted_at":"2026-08-07T09:00:39Z","title":"CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T00:32:33.293222Z"},"links":{"citing_paper":"/paper/2608.07621"},"observation_digest":"sha256:82fadeaad99cd5e3b6ce01539daf75945ec2877a7b3fa1885b373c55ae70e374","observation_id":"d967ce6f-cd9c-4d96-a707-795fdfcf4b66","resolution":{"observed_at":"2026-08-11T00:32:33.293222Z","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":"2026-08-11T00:32:33.905826Z","title":"In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)","venue":null,"work_id":"dea1bfbe-2749-489a-9fa1-beb24ff576ac","year":2023},"citing_paper":{"arxiv_id":"2608.07621","last_updated":"2026-08-07T09:00:39Z","snapshot_observed_at":"2026-08-15T17:50:29.772494Z","submitted_at":"2026-08-07T09:00:39Z","title":"CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T00:32:33.296918Z"},"links":{"citing_paper":"/paper/2608.07621"},"observation_digest":"sha256:94c0d1675681cd22ed136139e3a9af60a5bd7b30bcec7fb1a8b87acbdc7fa800","observation_id":"165d2445-7093-48ba-b272-a6bfebb5a88f","resolution":{"observed_at":"2026-08-11T00:32:33.910560Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.23262","last_updated":"2025-09-23T04:19:59Z","snapshot_observed_at":"2026-08-05T06:31:46.069300Z","submitted_at":"2024-10-30T17:46:31Z","title":"EMMA: End-to-End Multimodal Model for Autonomous Driving","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.23262","snapshot_observed_at":"2026-08-11T00:32:33.300525Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.07621","last_updated":"2026-08-07T09:00:39Z","snapshot_observed_at":"2026-08-15T17:50:29.772494Z","submitted_at":"2026-08-07T09:00:39Z","title":"CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T00:32:33.300525Z"},"links":{"cited_paper":"/paper/2410.23262","citing_paper":"/paper/2608.07621"},"observation_digest":"sha256:c1f394a4125df7ae9ec75b63367e8516845a1f823b386b381a5e5b1c0025e5a5","observation_id":"0ef0e541-a540-4419-ab42-65d23e7a0c64","resolution":{"observed_at":"2026-08-11T00:32:33.300525Z","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":"2026-08-11T00:32:33.890173Z","title":"In: NeurIPS 2024 Datasets and Benchmarks Track (2024)","venue":null,"work_id":"6bacacc0-00c5-41e4-a1e3-493890555d6e","year":2024},"citing_paper":{"arxiv_id":"2608.07621","last_updated":"2026-08-07T09:00:39Z","snapshot_observed_at":"2026-08-15T17:50:29.772494Z","submitted_at":"2026-08-07T09:00:39Z","title":"CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T00:32:33.304624Z"},"links":{"citing_paper":"/paper/2608.07621"},"observation_digest":"sha256:f00ad80d8d4334db042d5020b30e9516c0998ea12c8ac61d0e01de53d44346cc","observation_id":"1a6bcb2e-36cb-4af7-8a22-a16ce2e57fd6","resolution":{"observed_at":"2026-08-11T00:32:33.894745Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2512.10719","last_updated":"2026-07-12T18:02:23Z","snapshot_observed_at":"2026-08-16T02:42:26.082476Z","submitted_at":"2025-12-11T14:59:07Z","title":"SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2512.10719","snapshot_observed_at":"2026-08-11T00:32:33.308254Z","title":"arXiv preprint arXiv:2512.10719 (2025) 10 H.-K","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.07621","last_updated":"2026-08-07T09:00:39Z","snapshot_observed_at":"2026-08-15T17:50:29.772494Z","submitted_at":"2026-08-07T09:00:39Z","title":"CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T00:32:33.308254Z"},"links":{"cited_paper":"/paper/2512.10719","citing_paper":"/paper/2608.07621"},"observation_digest":"sha256:79d17ef08a92503def9db115af66de932630df78881fc2719633869a31d82b8e","observation_id":"70b61dbe-e6ae-412c-a717-594b4eccd5ad","resolution":{"observed_at":"2026-08-11T00:32:33.308254Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.08683","last_updated":"2025-03-11T17:58:42Z","snapshot_observed_at":"2026-08-10T06:37:42.718929Z","submitted_at":"2025-03-11T17:58:42Z","title":"CoLMDriver: LLM-based Negotiation Benefits Cooperative Autonomous Driving","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.08683","snapshot_observed_at":"2026-08-11T00:32:33.312942Z","title":"arXiv preprint arXiv:2503.08683 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.07621","last_updated":"2026-08-07T09:00:39Z","snapshot_observed_at":"2026-08-15T17:50:29.772494Z","submitted_at":"2026-08-07T09:00:39Z","title":"CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T00:32:33.312942Z"},"links":{"cited_paper":"/paper/2503.08683","citing_paper":"/paper/2608.07621"},"observation_digest":"sha256:5916cb364de020ad959e9374a3d8f2b23c969f3e58214dba2cd46cfc78cf46c9","observation_id":"94a947ed-fbef-499f-90e6-aa3861f7806f","resolution":{"observed_at":"2026-08-11T00:32:33.312942Z","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":"2026-08-11T00:32:33.317481Z","title":"IEEE Transactions on Pattern Analysis and Machine Intelli- gence47(8), 6566–6584 (2025).https://doi.org/10.1109/TPAMI.2025.3560327","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.07621","last_updated":"2026-08-07T09:00:39Z","snapshot_observed_at":"2026-08-15T17:50:29.772494Z","submitted_at":"2026-08-07T09:00:39Z","title":"CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T00:32:33.317481Z"},"links":{"citing_paper":"/paper/2608.07621"},"observation_digest":"sha256:7d217a6235d7fec0e2f230220dd11b48f7e107ca6913ab96c7248aa6d2f40105","observation_id":"fb20bf91-a209-4638-a38a-fd5adc18727f","resolution":{"observed_at":"2026-08-11T00:32:33.317481Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.14156","last_updated":"2025-08-28T22:07:25Z","snapshot_observed_at":"2026-08-10T11:36:50.301725Z","submitted_at":"2025-02-19T23:53:00Z","title":"Mixed Signals: A Diverse Point Cloud Dataset for Heterogeneous LiDAR V2X Collaboration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.14156","snapshot_observed_at":"2026-08-11T00:32:33.321798Z","title":"arXiv preprint arXiv:2502.14156 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.07621","last_updated":"2026-08-07T09:00:39Z","snapshot_observed_at":"2026-08-15T17:50:29.772494Z","submitted_at":"2026-08-07T09:00:39Z","title":"CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T00:32:33.321798Z"},"links":{"cited_paper":"/paper/2502.14156","citing_paper":"/paper/2608.07621"},"observation_digest":"sha256:557ecf8edafd66bf05631ccd0a8bc2273feaa4743c9e1dc1e2431a666347622a","observation_id":"2da25354-c057-4e54-8bff-6d1916ef0615","resolution":{"observed_at":"2026-08-11T00:32:33.321798Z","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":"2026-08-11T00:32:33.875985Z","title":"In: Conference on Computer Vision and Pattern Recognition (CVPR) (2025)","venue":null,"work_id":"b5d098d9-a9af-4547-be14-5ff28e0fba8a","year":2025},"citing_paper":{"arxiv_id":"2608.07621","last_updated":"2026-08-07T09:00:39Z","snapshot_observed_at":"2026-08-15T17:50:29.772494Z","submitted_at":"2026-08-07T09:00:39Z","title":"CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T00:32:33.326384Z"},"links":{"citing_paper":"/paper/2608.07621"},"observation_digest":"sha256:a7068f9155a7cf2ce4bc32774881aea2972ce0032fbb0551725b0b0a3126ff56","observation_id":"0b44bb43-1485-4233-85cf-802fd21dd4a9","resolution":{"observed_at":"2026-08-11T00:32:33.879879Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T00:32:33.861462Z","title":"In: Europian Conference on Computer Vision (ECCV) (2024)","venue":null,"work_id":"67b94f6e-6faa-48e3-a68c-7098f7b10ad0","year":2024},"citing_paper":{"arxiv_id":"2608.07621","last_updated":"2026-08-07T09:00:39Z","snapshot_observed_at":"2026-08-15T17:50:29.772494Z","submitted_at":"2026-08-07T09:00:39Z","title":"CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T00:32:33.330403Z"},"links":{"citing_paper":"/paper/2608.07621"},"observation_digest":"sha256:109c4206044aa03b356d7c0290c1eaa2ef1e5566a0107aa38dc786125c532007","observation_id":"7d917ad0-2dcb-495a-b633-6de55ce3d33c","resolution":{"observed_at":"2026-08-11T00:32:33.866043Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.12289","last_updated":"2024-06-25T17:55:35Z","snapshot_observed_at":"2026-08-13T08:07:31.942031Z","submitted_at":"2024-02-19T17:04:04Z","title":"DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.12289","snapshot_observed_at":"2026-08-11T00:32:33.334740Z","title":"arXiv preprint arXiv:2402.12289 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.07621","last_updated":"2026-08-07T09:00:39Z","snapshot_observed_at":"2026-08-15T17:50:29.772494Z","submitted_at":"2026-08-07T09:00:39Z","title":"CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T00:32:33.334740Z"},"links":{"cited_paper":"/paper/2402.12289","citing_paper":"/paper/2608.07621"},"observation_digest":"sha256:a621331d6e0a3e7fb5d63b5896c405f9825111704b0faa3ddfda806ae8046d69","observation_id":"a88498a3-f17d-4bf9-bcd1-8515dfe1b064","resolution":{"observed_at":"2026-08-11T00:32:33.334740Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2511.00088","last_updated":"2026-01-07T09:09:57Z","snapshot_observed_at":"2026-08-16T04:26:38.567252Z","submitted_at":"2025-10-30T01:25:34Z","title":"Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2511.00088","snapshot_observed_at":"2026-08-11T00:32:33.339552Z","title":"arXiv preprint arXiv:2511.00088 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.07621","last_updated":"2026-08-07T09:00:39Z","snapshot_observed_at":"2026-08-15T17:50:29.772494Z","submitted_at":"2026-08-07T09:00:39Z","title":"CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T00:32:33.339552Z"},"links":{"cited_paper":"/paper/2511.00088","citing_paper":"/paper/2608.07621"},"observation_digest":"sha256:a04dff956d0114191ed2baf6c070708c154e206fc46a25f23ee606e47ff4ca62","observation_id":"bab6815b-1735-476d-981a-4a5f34375b0f","resolution":{"observed_at":"2026-08-11T00:32:33.339552Z","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":"2026-08-11T00:32:33.848408Z","title":"In: European Conference on Computer Vision (ECCV) (2024)","venue":null,"work_id":"27dd94a9-e880-4d85-88be-df801b0a931d","year":2024},"citing_paper":{"arxiv_id":"2608.07621","last_updated":"2026-08-07T09:00:39Z","snapshot_observed_at":"2026-08-15T17:50:29.772494Z","submitted_at":"2026-08-07T09:00:39Z","title":"CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T00:32:33.343885Z"},"links":{"citing_paper":"/paper/2608.07621"},"observation_digest":"sha256:584d591662d97131dca669c1b105fe0d6e246a39003ebcbf31bbe55bf34120aa","observation_id":"ae4bcd7d-5f8e-4e7e-a2be-2adc09c6c3c5","resolution":{"observed_at":"2026-08-11T00:32:33.852432Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15208","last_updated":"2025-02-14T23:22:47Z","snapshot_observed_at":"2026-08-16T03:25:08.162417Z","submitted_at":"2024-12-19T18:59:40Z","title":"OpenEMMA: Open-Source Multimodal Model for End-to-End Autonomous Driving","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.15208","snapshot_observed_at":"2026-08-11T00:32:33.347811Z","title":"arXiv (Dec 2024).https://doi.org/10.48550/arXiv.2412.15208","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.07621","last_updated":"2026-08-07T09:00:39Z","snapshot_observed_at":"2026-08-15T17:50:29.772494Z","submitted_at":"2026-08-07T09:00:39Z","title":"CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T00:32:33.347811Z"},"links":{"cited_paper":"/paper/2412.15208","citing_paper":"/paper/2608.07621"},"observation_digest":"sha256:32bf50e3d8bc964b943afd6eb67b22540c9e5b574a58d51543762113fd9cf1af","observation_id":"eb21ae6f-8789-4062-a615-8613f665ca38","resolution":{"observed_at":"2026-08-11T00:32:33.347811Z","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":"2026-08-11T00:32:33.834582Z","title":"In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)","venue":null,"work_id":"2b9c8421-acab-4405-b9f0-516bbd272f25","year":2023},"citing_paper":{"arxiv_id":"2608.07621","last_updated":"2026-08-07T09:00:39Z","snapshot_observed_at":"2026-08-15T17:50:29.772494Z","submitted_at":"2026-08-07T09:00:39Z","title":"CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T00:32:33.351890Z"},"links":{"citing_paper":"/paper/2608.07621"},"observation_digest":"sha256:09f66d2a836c9f71ba259784401272805d22d9a415a53e1641c6b14bb2c1cc74","observation_id":"50da3f90-08bb-47bd-a1bf-fd80ca3bc96c","resolution":{"observed_at":"2026-08-11T00:32:33.839025Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.10671","last_updated":"2024-09-10T13:25:53Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-07-15T12:35:42Z","title":"Qwen2 Technical Report","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.10671","snapshot_observed_at":"2026-08-11T00:32:33.355913Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.07621","last_updated":"2026-08-07T09:00:39Z","snapshot_observed_at":"2026-08-15T17:50:29.772494Z","submitted_at":"2026-08-07T09:00:39Z","title":"CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T00:32:33.355913Z"},"links":{"cited_paper":"/paper/2407.10671","citing_paper":"/paper/2608.07621"},"observation_digest":"sha256:0efa44b884f56e083aab76fa44af488e800252e5c09ecb41e4716117bb3d9549","observation_id":"c3298f11-d50a-46f8-a97d-de6ca6a3c470","resolution":{"observed_at":"2026-08-11T00:32:33.355913Z","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":"2026-08-11T00:32:33.819962Z","title":"In: 2025 IEEE/RSJ International Con- ference on Intelligent Robots and Systems (IROS)","venue":null,"work_id":"e5ad2ba9-7faa-4c84-a6ec-7b4007a8e02a","year":2025},"citing_paper":{"arxiv_id":"2608.07621","last_updated":"2026-08-07T09:00:39Z","snapshot_observed_at":"2026-08-15T17:50:29.772494Z","submitted_at":"2026-08-07T09:00:39Z","title":"CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T00:32:33.359960Z"},"links":{"citing_paper":"/paper/2608.07621"},"observation_digest":"sha256:20b7251ee698d8c66a896362fc2ccae2f7765fc1129bb856902e92a0387c611c","observation_id":"2cd1cc31-16de-49f0-84bd-39f9d2511363","resolution":{"observed_at":"2026-08-11T00:32:33.824831Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2509.03704","last_updated":"2026-06-25T20:51:47Z","snapshot_observed_at":"2026-08-15T01:29:01.314619Z","submitted_at":"2025-09-03T20:39:03Z","title":"QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2509.03704","snapshot_observed_at":"2026-08-11T00:32:33.363754Z","title":"arXiv preprint arXiv:2509.03704 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.07621","last_updated":"2026-08-07T09:00:39Z","snapshot_observed_at":"2026-08-15T17:50:29.772494Z","submitted_at":"2026-08-07T09:00:39Z","title":"CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T00:32:33.363754Z"},"links":{"cited_paper":"/paper/2509.03704","citing_paper":"/paper/2608.07621"},"observation_digest":"sha256:036dc5f6899dc7d1bb25fc87e7b0391bb4b7ae83101970ea5428824a3e13478b","observation_id":"ebc5a5b4-7880-47d3-a9b3-f33111ee07d0","resolution":{"observed_at":"2026-08-11T00:32:33.363754Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.13757","last_updated":"2025-11-05T23:46:20Z","snapshot_observed_at":"2026-08-14T00:40:02.694887Z","submitted_at":"2025-06-16T17:58:50Z","title":"AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.13757","snapshot_observed_at":"2026-08-11T00:32:33.367721Z","title":"arXiv preprint arXiv:2506.13757 (2025) CMU-Drive and V2V-VLA 11","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.07621","last_updated":"2026-08-07T09:00:39Z","snapshot_observed_at":"2026-08-15T17:50:29.772494Z","submitted_at":"2026-08-07T09:00:39Z","title":"CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T00:32:33.367721Z"},"links":{"cited_paper":"/paper/2506.13757","citing_paper":"/paper/2608.07621"},"observation_digest":"sha256:50454f2dc0247f8273b824c7904764076603277f87e6441d953b073201a27d30","observation_id":"995dfaba-ec09-4808-b481-9c4eee770bdf","resolution":{"observed_at":"2026-08-11T00:32:33.367721Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.01812","last_updated":"2025-08-05T19:48:49Z","snapshot_observed_at":"2026-08-12T18:43:21.853039Z","submitted_at":"2024-12-02T18:55:34Z","title":"V2XPnP: Vehicle-to-Everything Spatio-Temporal Fusion for Multi-Agent Perception and Prediction","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.01812","snapshot_observed_at":"2026-08-11T00:32:33.372053Z","title":"arXiv preprint arXiv:2412.01812 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.07621","last_updated":"2026-08-07T09:00:39Z","snapshot_observed_at":"2026-08-15T17:50:29.772494Z","submitted_at":"2026-08-07T09:00:39Z","title":"CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T00:32:33.372053Z"},"links":{"cited_paper":"/paper/2412.01812","citing_paper":"/paper/2608.07621"},"observation_digest":"sha256:9678af1370662b350b34ccd68ea17793927302582045e56be6c796f50be41efe","observation_id":"5e91d1a8-badd-4fa6-b1c1-4a4877b32547","resolution":{"observed_at":"2026-08-11T00:32:33.372053Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.04682","last_updated":"2025-08-07T21:13:49Z","snapshot_observed_at":"2026-08-06T23:59:29.466946Z","submitted_at":"2025-08-06T17:46:40Z","title":"TurboTrain: Towards Efficient and Balanced Multi-Task Learning for Multi-Agent Perception and Prediction","version":2},"cited_work":{"arxiv_id":"2508.04682","doi":null,"metadata_source":"pith","pith_arxiv_id":"2508.04682","snapshot_observed_at":"2026-08-11T00:32:33.444387Z","title":"TurboTrain: Towards Efficient and Balanced Multi-Task Learning for Multi-Agent Perception and Prediction","venue":"cs.CV","work_id":"259fe841-027a-4918-b226-8b1fbbc610de","year":2025},"citing_paper":{"arxiv_id":"2608.07621","last_updated":"2026-08-07T09:00:39Z","snapshot_observed_at":"2026-08-15T17:50:29.772494Z","submitted_at":"2026-08-07T09:00:39Z","title":"CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T00:32:33.376166Z"},"links":{"cited_paper":"/paper/2508.04682","citing_paper":"/paper/2608.07621"},"observation_digest":"sha256:039729be7419a303cda8c7921d3e0a2a02eb909b51c7c3f964466d493f4b2ae6","observation_id":"09039246-8a2b-42f2-880b-b20a811d06bf","resolution":{"observed_at":"2026-08-11T00:32:33.449322Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T00:32:33.806787Z","title":"In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024)","venue":null,"work_id":"b6e9e30e-2647-4d97-8da0-bc61156d5303","year":2024},"citing_paper":{"arxiv_id":"2608.07621","last_updated":"2026-08-07T09:00:39Z","snapshot_observed_at":"2026-08-15T17:50:29.772494Z","submitted_at":"2026-08-07T09:00:39Z","title":"CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T00:32:33.380209Z"},"links":{"citing_paper":"/paper/2608.07621"},"observation_digest":"sha256:1370cbbf0c1bbd3f1f963786ce96d0b1b4ab9278dfc6734fd2ac688d658d539c","observation_id":"50ae8670-95cf-43f6-a958-74d9ecb17620","resolution":{"observed_at":"2026-08-11T00:32:33.810736Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2608.07621","last_updated":"2026-08-07T09:00:39Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-15T17:50:29.772494Z","submitted_at":"2026-08-07T09:00:39Z","title":"CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models"},"reference_resolution":{"displayed":31,"state_counts":{"malformed_identifier":0,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":16,"verified_exact":1,"verified_fuzzy":12},"total_outbound_references":31},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2608.07621."}