{"as_of":"2026-08-13T19:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d39271e911734fc3237c26a1dc68baf9525dfe4817d2bf5d072e01b85504da23","coverage":[{"denominator":52,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":52,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T19:18:01.769409Z","state":"measured"},{"denominator":52,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":52,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+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/2411.10869/citation-record","integrity":"/paper/2411.10869/integrity","json":"/paper/2411.10869/citation-record.json","paper":"/paper/2411.10869"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:18:04.406330Z","title":"Human factors contributing to the road traffic accident occurrence,","venue":null,"work_id":"a479749f-bcad-45e0-8e2b-e35dfc240abd","year":2020},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.181327Z"},"links":{"citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:f37bcf588165a63b6c42997a610fa8e18cf763c13785ecc04f0b0c01e6aefba0","observation_id":"eb6f3407-d183-4b18-a483-81189f55c243","resolution":{"observed_at":"2026-08-12T19:18:04.425560Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T19:18:01.202097Z","title":"Impact of risk factors on work zone crashes using logistic models and Random Forest,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.202097Z"},"links":{"citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:54b63ca658c911225b7e05b34557aca4e4f7752318b4b77991f96a66b191f09b","observation_id":"e6a1c09e-954b-451b-be16-6e73a0856605","resolution":{"observed_at":"2026-08-12T19:18:01.202097Z","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":"2026-08-12T19:18:04.364673Z","title":"Fuel consumption at signalized intersections: Investigating the impact of different signal indication settings,","venue":null,"work_id":"fcbb12b5-fe7a-43d4-88f0-ad3a770c99e1","year":2023},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.213896Z"},"links":{"citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:820519de578e01f5934c261cfcc0a598eb7cd9ae0fd298df8b800a74e12ba9ac","observation_id":"70b5991f-9e50-4d97-b1e4-c7f6ec3f0d8e","resolution":{"observed_at":"2026-08-12T19:18:04.371402Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1155/2021/8812740","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:18:02.135145Z","title":"Joint Impact of Rain and Incidents on Traffic Stream Speeds,","venue":null,"work_id":"d12ae8b0-6389-4d7a-a4ae-0d683c273d04","year":2021},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.221503Z"},"links":{"citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:fc6c9c60b3b9cf09c86681b53a5ebd85e261f2946c5b4001f46872553620eaa7","observation_id":"7e6b0140-6027-4a2a-82d0-bedb36850482","resolution":{"observed_at":"2026-08-12T19:18:02.144771Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T19:18:04.324865Z","title":"Modeling driver behavior within a signalized intersection approach decision–dilemma zone,","venue":null,"work_id":"cbd3a0cf-68cf-40de-a7dc-004135ec6a11","year":2008},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.231731Z"},"links":{"citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:a2550b36d0f06b4e652f769f121cff8fc3c338adc8859ae8e72039f2fe405789","observation_id":"def6b2a8-0de9-4eb4-b497-3c4add12b37f","resolution":{"observed_at":"2026-08-12T19:18:04.341239Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T19:18:01.241567Z","title":"Evaluating a signalized intersection performance using unmanned aerial Data,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.241567Z"},"links":{"citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:24a5c31ee6f52d8fcacaec309caa5ba05787c1fcda481cc2e15c3e0eb3fbd70e","observation_id":"6e69e7a2-d08a-430b-8583-43902fc824ee","resolution":{"observed_at":"2026-08-12T19:18:01.241567Z","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":"2026-08-12T19:18:04.290701Z","title":"Physiological and driving behaviour changes associated to different road intersections,","venue":null,"work_id":"b86f6c48-eeb0-497d-a7d7-567ebe269a19","year":2020},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.254715Z"},"links":{"citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:51f0d541fd6d89624bdf0b730e133038735740952b580dfe6164b7311d35fb32","observation_id":"90dea34b-f1f6-47c1-b674-6e1edb5681a5","resolution":{"observed_at":"2026-08-12T19:18:04.300897Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T19:18:04.251376Z","title":"NCHRP 20-07/Task 414: Benefits of adaptive traffic control deployments—A review of evaluation studies,","venue":null,"work_id":"cf91402b-35ff-4142-9ddd-497d1f0f9cc6","year":2019},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.265040Z"},"links":{"citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:c1cc77c886a061179ceb05052a8b5b0e2714d6b3f35aff3bbebf2dacfc4bc040","observation_id":"972cbf65-49c2-48fa-819a-156e554f0cc3","resolution":{"observed_at":"2026-08-12T19:18:04.264196Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.16044","last_updated":"2024-12-17T12:41:13Z","snapshot_observed_at":"2026-08-13T04:53:51.232029Z","submitted_at":"2023-12-26T13:17:06Z","title":"LLMLight: Large Language Models as Traffic Signal Control Agents","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.16044","snapshot_observed_at":"2026-08-12T19:18:01.280094Z","title":"Large language models as traffic signal control agents: Capacity and opportunity,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.280094Z"},"links":{"cited_paper":"/paper/2312.16044","citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:97517494494964f3e071fcc7d5c74721f05f281e29d20766a04350915d08f258","observation_id":"5a731e58-3c9b-4670-9636-7454511a8d02","resolution":{"observed_at":"2026-08-12T19:18:01.280094Z","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":"2026-08-12T19:18:04.197443Z","title":"Driving behavior classification at signalized intersections using vehicle kinematics: Application of unsupervised machine learning,","venue":null,"work_id":"3ec3c049-fdf6-4dd9-bfec-b8140c5d73db","year":2022},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.286331Z"},"links":{"citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:c80bfd230b567d864434e25a34d5e34459590b24d104e36a6c802de550b03d32","observation_id":"fe094be6-c1ae-4c42-a9df-a9c986971538","resolution":{"observed_at":"2026-08-12T19:18:04.206828Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T19:18:04.156864Z","title":"Heterogeneity in the driver behavior: an exploratory study using real-time driving data,","venue":null,"work_id":"68c76ef6-32fb-4f73-a4ed-adfa05869f07","year":2022},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.294811Z"},"links":{"citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:b60f2a02518251bf7e5cd834e5c51e62084a4a55cf1ad8bf08465cd9393f4aa1","observation_id":"97831a01-3c2f-4884-84fb-d31999b36833","resolution":{"observed_at":"2026-08-12T19:18:04.165755Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T19:18:04.131920Z","title":"Interaction driver –bicyclist on rural roads: Effects of cross - sections and road geometric elements,","venue":null,"work_id":"ae314d5e-3e15-4deb-9205-3178bb842177","year":2017},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.301229Z"},"links":{"citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:873949bd8b14f99e93e27e3c725fe0394d57f92639d6e58f60358fa3c304abf3","observation_id":"9f40158a-2ff1-4279-bd4b-05f09a1ed590","resolution":{"observed_at":"2026-08-12T19:18:04.139800Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1061/jtepbs.teeng-8325","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:18:02.088935Z","title":"Driver Behavior at Roundabouts in Mixed Traffic: A Case Study Using Machine Learning,","venue":null,"work_id":"de3b467e-760a-4842-8deb-ef824a2e816e","year":2024},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.309035Z"},"links":{"citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:098226e8ddf6ab1ec872f478035e8865932f8f7ecb8b9f302c9d3e9cb830fd45","observation_id":"18b05bb1-1469-4472-a1ae-ebf0b207d94b","resolution":{"observed_at":"2026-08-12T19:18:02.102667Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T19:18:01.319928Z","title":"A Survey on Large Language Models: Applications, Challenges, Limitations, and Practical Usage,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.319928Z"},"links":{"citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:bf48838823de27b219ea3fc51f119e6b56eb9e29b30251eb739cfe5c8143dd62","observation_id":"06a75c05-5913-49a2-b8a8-b7b4ee8be0e3","resolution":{"observed_at":"2026-08-12T19:18:01.319928Z","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":"2026-08-12T19:18:04.102215Z","title":"Incorporating driving volatility measures in safety performance functions: Improving safety at signalized intersections,","venue":null,"work_id":"1e28d5f8-8441-4bc0-b3f1-83ae9da8f6dd","year":2022},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.337812Z"},"links":{"citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:60065efd1d680ab2f3b9b11b9e6a791c631df70859cf38339a068cb2696ff125","observation_id":"4e56bfc6-d084-47f8-a3a6-91432c3b9a43","resolution":{"observed_at":"2026-08-12T19:18:04.110882Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s43621-024-00511-z","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:18:02.011242Z","title":"Incorporating driving behavior into vehicle fuel consumption prediction: methodology development and testing,","venue":null,"work_id":"9aecce98-11f4-4719-9b73-a45b4be2d372","year":2024},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.344734Z"},"links":{"citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:ae33a426e2f4e690caa7e5c5c2b14018d4585323c2f47fa77bba3db487a65419","observation_id":"d9405262-d1d5-4011-a390-1052dd44a208","resolution":{"observed_at":"2026-08-12T19:18:02.022535Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.03026","last_updated":"2025-04-15T03:45:30Z","snapshot_observed_at":"2026-08-13T16:31:02.679474Z","submitted_at":"2023-10-04T17:59:49Z","title":"LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.03026","snapshot_observed_at":"2026-08-12T19:18:01.350621Z","title":"Languagempc: Large language models as decision makers for autonomous driving,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.350621Z"},"links":{"cited_paper":"/paper/2310.03026","citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:00d9d1f0001e066b62de097220ae3cd3d2e5bc2491358bf2bbdfeab2271439ca","observation_id":"0d9b70a6-ded9-45e5-8f1d-db7cbe153530","resolution":{"observed_at":"2026-08-12T19:18:01.350621Z","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":"2026-08-12T19:18:04.068944Z","title":"ConnectGPT: Connect Large Language Models with Connected and Automated Vehicles,","venue":null,"work_id":"6b26aaac-9799-4a89-94de-eee92b5e3afa","year":2024},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.360449Z"},"links":{"citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:f96d94362b03a2a9899e1fb58bf640ba8d152f8d218cece03a56ab52ead28b4c","observation_id":"62b5ad75-f8da-4245-b4d0-adb52660405e","resolution":{"observed_at":"2026-08-12T19:18:04.078462Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.02357","last_updated":"2025-02-21T03:14:05Z","snapshot_observed_at":"2026-08-13T00:15:43.164547Z","submitted_at":"2024-05-03T02:54:43Z","title":"Large Language Models for Mobility Analysis in Transportation Systems: A Survey on Forecasting Tasks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.02357","snapshot_observed_at":"2026-08-12T19:18:01.369778Z","title":"Large Language Models for Mobility in Transportation Systems: A Survey on Forecasting Tasks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.369778Z"},"links":{"cited_paper":"/paper/2405.02357","citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:ade892c4bea6acd4d1ae7a9f720cee985c795b1d03de3a1117c48bc957ef9b7a","observation_id":"b8a983b4-94b3-4099-a781-271697a89e2f","resolution":{"observed_at":"2026-08-12T19:18:01.369778Z","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":"2026-08-12T19:18:04.032717Z","title":"Large language models: a comprehensive survey of its applications, challenges, limitations, and future prospects,","venue":null,"work_id":"e28efce1-532e-4b39-89e5-171193c04971","year":2023},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.391725Z"},"links":{"citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:b6080c540e15453c3058c0e028c62af06946da9ddac4ea6a692515bc56ed7789","observation_id":"001bff66-4d7f-4b70-9666-0044e7dffe2f","resolution":{"observed_at":"2026-08-12T19:18:04.041893Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.18286","last_updated":"2024-09-26T20:58:11Z","snapshot_observed_at":"2026-08-13T08:18:34.358292Z","submitted_at":"2024-09-26T20:58:11Z","title":"Advancing Object Detection in Transportation with Multimodal Large Language Models (MLLMs): A Comprehensive Review and Empirical Testing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.18286","snapshot_observed_at":"2026-08-12T19:18:01.401098Z","title":"Advancing Object Detection in Transportation with Multimodal Large Language Models (MLLMs): A Comprehensive Review and Empirical Testing,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.401098Z"},"links":{"cited_paper":"/paper/2409.18286","citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:b15694289504b48e72628ea210083b628b21a81147f3004cd9e78d6e53566fd8","observation_id":"c9240e58-63fb-43ad-9ae2-9106619fecff","resolution":{"observed_at":"2026-08-12T19:18:01.401098Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.05382","last_updated":"2023-09-05T18:13:24Z","snapshot_observed_at":"2026-08-13T12:30:36.261639Z","submitted_at":"2023-03-06T16:36:17Z","title":"ChatGPT is on the Horizon: Could a Large Language Model be Suitable for Intelligent Traffic Safety Research and Applications?","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.05382","snapshot_observed_at":"2026-08-12T19:18:01.409851Z","title":"Chatgpt is on the horizon: Could a large language model be all we need for intelligent transportation?,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.409851Z"},"links":{"cited_paper":"/paper/2303.05382","citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:07d2425ed268565c340db3b6ed55b6b60735efcb80a29f70f45396d2bdd159cf","observation_id":"d189d0f4-77b0-4471-9443-405ebc7cffef","resolution":{"observed_at":"2026-08-12T19:18:01.409851Z","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":"2026-08-12T19:18:03.998422Z","title":"TPLLM: A Traffic Prediction Framework Based on Pretrained Large Language Models,","venue":null,"work_id":"718874e0-3e0b-4338-86f2-6388b4c65b9e","year":2024},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.425513Z"},"links":{"citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:ebdd14cf9f61f6eecdd2d2b7645eacf635afe5ff8e10b908eb7c238d35b9ba4d","observation_id":"05597485-6e60-4140-bd4e-3259a463e359","resolution":{"observed_at":"2026-08-12T19:18:04.008636Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.tranpol.2024.03.006","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:18:01.977798Z","title":"TrafficGPT: Viewing, processing and interacting with traffic foundation models,","venue":null,"work_id":"b6abd074-6419-4ad6-921f-2e254b47dde4","year":2024},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.433535Z"},"links":{"citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:7978ec36b14f6a9918307573436b37456b816f1dddbaa74dc9e62ad79f070fd5","observation_id":"45c993af-6053-4769-a4b7-a0ff9c7ef92f","resolution":{"observed_at":"2026-08-12T19:18:01.991208Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T19:18:03.938955Z","title":"Receive, reason, and react: Drive as you say, with large language models in autonomous vehicles,","venue":null,"work_id":"864e472c-4ec0-4f1a-976f-9cb06b80e795","year":2024},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.453340Z"},"links":{"citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:0c0bc08ecb32865975bce262b12be6df5501c8faac54f7126f22f9284a72bbd0","observation_id":"94a0952b-040e-4d3a-a05c-ab201c65e0e3","resolution":{"observed_at":"2026-08-12T19:18:03.950482Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T19:18:03.902009Z","title":"Toward driving scene understanding: A dataset for learning driver behavior and causal reasoning,","venue":null,"work_id":"fbf067eb-59a5-47ba-be0d-d9998bc23c20","year":2018},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.466592Z"},"links":{"citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:a3b256973574873f3eeef7ea4f02a8aacfa1e44b6c39ef5238dabda1173821fd","observation_id":"405cd40a-4800-45b1-89e5-23199cb41963","resolution":{"observed_at":"2026-08-12T19:18:03.913768Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/make6030093","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:18:01.942151Z","title":"Visual Reasoning and Multi-Agent Approach in Multimodal Large Language Models (MLLMs): Solving TSP and mTSP Combinatorial Challenges,","venue":null,"work_id":"03dd6966-7588-466a-bed3-6f1a7b768e06","year":2024},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.479157Z"},"links":{"citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:f21d39aeb9432dbfa42b6ddf120d2c514c0978d9268e058e066fc4d69abb16ff","observation_id":"d75398dd-1c18-4e8c-afbc-483ed3526aad","resolution":{"observed_at":"2026-08-12T19:18:01.950117Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T19:18:01.486602Z","title":"Multitask Learning for Crash Analysis: A Fine-Tuned LLM Framework Using Twitter Data,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.486602Z"},"links":{"citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:2692b1d3fa872bbb423b531ea8ef2fb1e20e4abb6ed3dc7a149bcbcfedb5ebe0","observation_id":"71d08070-6a49-4300-8f79-9e4d2e0bce67","resolution":{"observed_at":"2026-08-12T19:18:01.486602Z","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":"9813.2024","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:18:03.094757Z","title":"Large Language Model -Driven Urban Traffic Signal Control,","venue":null,"work_id":"4d0393bb-fd19-4e65-a710-7bd9091ec0c7","year":2024},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.495265Z"},"links":{"citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:230d7f6e5ceac09f2b673ec386adc0a379dc261957c922dbebe7cbf1bfb3be45","observation_id":"48c24aae-38fb-4f65-b769-defaf537836f","resolution":{"observed_at":"2026-08-12T19:18:03.102582Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T19:18:03.848706Z","title":"Advancing ITS Applications with LLMs: A Survey on Traffic Management, Transportation Safety, and Autonomous Driving,","venue":null,"work_id":"019d23e0-4c28-472d-829b-c07bffe2b952","year":2024},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.508251Z"},"links":{"citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:f691186a30eb37a7dc05d297394c0ad9fff81dcbf950df0cd29b01c9966cb638","observation_id":"738387ab-957c-4897-91a0-e52d1a5d8be2","resolution":{"observed_at":"2026-08-12T19:18:03.875461Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.06025","last_updated":"2024-07-08T15:22:49Z","snapshot_observed_at":"2026-08-12T23:26:39.746251Z","submitted_at":"2024-07-08T15:22:49Z","title":"iLLM-TSC: Integration reinforcement learning and large language model for traffic signal control policy improvement","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.06025","snapshot_observed_at":"2026-08-12T19:18:01.517178Z","title":"iLLM -TSC: Integration reinforcement learning and large language model for traffic signal control policy improvement,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.517178Z"},"links":{"cited_paper":"/paper/2407.06025","citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:a553fded7ed0cfc8d296bda0458b1ceec5875bf170d804ee8c18d56caeb358b3","observation_id":"76be852b-0044-4229-9f15-fb93383399a1","resolution":{"observed_at":"2026-08-12T19:18:01.517178Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.08337","last_updated":"2024-06-12T14:53:58Z","snapshot_observed_at":"2026-08-13T00:55:23.718934Z","submitted_at":"2024-03-13T08:41:55Z","title":"LLM-Assisted Light: Leveraging Large Language Model Capabilities for Human-Mimetic Traffic Signal Control in Complex Urban Environments","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.08337","snapshot_observed_at":"2026-08-12T19:18:01.528856Z","title":"LLM -assisted light: Leveraging large language model capabilities for human -mimetic traffic signal control in complex urban environments,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.528856Z"},"links":{"cited_paper":"/paper/2403.08337","citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:7278e8cd0f3423502002fc838f74be70db8ac3d4aa2e407e6bbdb50c8392e382","observation_id":"44c26946-e7cf-484c-bc65-6b87898f63dc","resolution":{"observed_at":"2026-08-12T19:18:01.528856Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.02221","last_updated":"2024-03-18T16:01:26Z","snapshot_observed_at":"2026-08-13T04:03:51.870729Z","submitted_at":"2024-03-04T17:08:57Z","title":"TPLLM: A Traffic Prediction Framework Based on Pretrained Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.02221","snapshot_observed_at":"2026-08-12T19:18:01.544592Z","title":"TPLLM: A traffic prediction framework based on pretrained large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.544592Z"},"links":{"cited_paper":"/paper/2403.02221","citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:05af157b8a39bee8434031623fe9d9ff2863d8441dc5dce85d2959905639a32b","observation_id":"b65d7f28-5dd6-46dc-8130-b2b1317175b5","resolution":{"observed_at":"2026-08-12T19:18:01.544592Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.01412","last_updated":"2024-11-09T02:41:02Z","snapshot_observed_at":"2026-08-13T05:59:04.576084Z","submitted_at":"2023-10-02T17:59:52Z","title":"DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.01412","snapshot_observed_at":"2026-08-12T19:18:01.562066Z","title":"Drivegpt4: Interpretable end -to-end autonomous driving via large language model,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.562066Z"},"links":{"cited_paper":"/paper/2310.01412","citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:c9f76d782899fac06cc11965ef1a11cc32100c117da0907b1dc9f19dc4243e09","observation_id":"22368421-4b2f-46ab-b221-f2867f275da8","resolution":{"observed_at":"2026-08-12T19:18:01.562066Z","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":"2026-08-12T19:18:03.806490Z","title":"Traffic control systems handbook,","venue":null,"work_id":"be940836-aa42-46fd-967f-15a8a0cc5868","year":1996},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.576029Z"},"links":{"citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:0ef3587231cd0d1c8f814e0b14849c84abc1461b1f2b16b56542b23b10c425e2","observation_id":"457b073d-78c0-4cec-a41e-dd33cb00a795","resolution":{"observed_at":"2026-08-12T19:18:03.815555Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T19:18:03.764156Z","title":"Traffic signal systems research: Past, present, and future trends,","venue":null,"work_id":"cc4a0f1b-d030-4df1-89ce-2799f78d2c17","year":2019},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.590625Z"},"links":{"citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:28b7610995d81622c220608289f73863d96ec3cfc96e249adea13e0acb0c7eec","observation_id":"e7311fb0-a6b2-45c5-be0f-e03c04209ffa","resolution":{"observed_at":"2026-08-12T19:18:03.775680Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T19:18:01.608316Z","title":"Using Multimodal Large Language Models (MLLMs) for Automated Detection of Traffic Safety- Critical Events,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.608316Z"},"links":{"citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:57fb8f9f56f680ccd0aa9aae5db1a9be5c8a91df9bf2fad755301b901ecce5db","observation_id":"1f33a447-7ba7-4428-96dc-8dfa09b3e6ae","resolution":{"observed_at":"2026-08-12T19:18:01.608316Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.14414","last_updated":"2024-06-20T19:36:38Z","snapshot_observed_at":"2026-08-13T05:43:40.358688Z","submitted_at":"2023-10-22T21:06:10Z","title":"Vision Language Models in Autonomous Driving: A Survey and Outlook","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.14414","snapshot_observed_at":"2026-08-12T19:18:01.615147Z","title":"Vision language models in autonomous driving and intelligent transportation systems,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.615147Z"},"links":{"cited_paper":"/paper/2310.14414","citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:7c57b01ef2e393a2ca4b028bfafa1eeea418c866d5d02aeec8bb0bb757aeb143","observation_id":"a012fabc-b1fe-4b7f-9c27-b2d176087600","resolution":{"observed_at":"2026-08-12T19:18:01.615147Z","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":"2026-08-12T19:18:03.726402Z","title":"Leveraging Multimodal Large Language Models (MLLMs) for Enhanced Object Detection and Scene Understanding in Thermal Images for Autonomous Driving Systems,","venue":null,"work_id":"81d34b3a-775e-43f7-b9d8-f9a757b8f5fa","year":2024},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.639269Z"},"links":{"citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:3780961a0605547ebf71e77e3adf35387341ecac0fcbc97a8ae3d755ec0270ce","observation_id":"c36e4b34-85e2-4ef6-8359-449243dae831","resolution":{"observed_at":"2026-08-12T19:18:03.739047Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.08854","last_updated":"2025-02-04T19:38:26Z","snapshot_observed_at":"2026-08-12T22:25:23.707986Z","submitted_at":"2024-10-11T14:30:04Z","title":"Hybrid LLM-DDQN based Joint Optimization of V2I Communication and Autonomous Driving","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.08854","snapshot_observed_at":"2026-08-12T19:18:01.645780Z","title":"Hybrid LLM-DDQN based Joint Optimization of V2I Communication and Autonomous Driving,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.645780Z"},"links":{"cited_paper":"/paper/2410.08854","citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:93a4bb75b39191cc1b34a00742e7f085ae3eaa38705367939b6af1b450c2cae1","observation_id":"4f684afe-9246-4abb-9208-07557560834b","resolution":{"observed_at":"2026-08-12T19:18:01.645780Z","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":"2026-08-12T19:18:03.674503Z","title":"Secure and Scalable Multi-Modal Vehicle Systems: A Cloud-Based Framework for Real -Time LLM -Driven Interactions,","venue":null,"work_id":"7f9498a9-4f17-426d-b980-238eae2a296b","year":2023},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.655725Z"},"links":{"citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:6d34cd698f16a63b548fdc716640c89e6282bf2a1ee8e40dce02c7f73f479968","observation_id":"f85d4a40-dfc0-4f94-94cc-db24b379d133","resolution":{"observed_at":"2026-08-12T19:18:03.688160Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T19:18:03.638667Z","title":"Traffic signal control enhancements under vehicle infrastructure integration systems.,","venue":null,"work_id":"7c55c81d-af70-4836-ac75-64d4dd27bbca","year":2011},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.663960Z"},"links":{"citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:efe3d136b81d14178458f40e5e7e8ae08884a5c5aa93590a547d976f6055033d","observation_id":"4a370116-4b79-41c8-aa8f-088190d181fc","resolution":{"observed_at":"2026-08-12T19:18:03.651846Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T19:18:01.681670Z","title":"Agile Approaches for Cybersecurity Systems, IoT and Intelligent Transportation,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.681670Z"},"links":{"citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:5f67892be31fb468cb8e7a0c64978965f1bdd437a00e87b9c736f41386dbf1c3","observation_id":"e3bc6e65-aac2-4275-8d76-566651c6b611","resolution":{"observed_at":"2026-08-12T19:18:01.681670Z","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":"2026-08-12T19:18:01.692858Z","title":"Overview of Road Traffic Management Solutions based on IoT and AI,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.692858Z"},"links":{"citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:abf7d4b27b330029fd38feb8c4f7f243b4c2224a933c7750d3bf9863e17d6167","observation_id":"d7840a44-e775-4a0d-b117-0f035c0ffe76","resolution":{"observed_at":"2026-08-12T19:18:01.692858Z","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":"2026-08-12T19:18:01.703418Z","title":"Traffic management approaches using machine learning and deep learning techniques: A survey,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.703418Z"},"links":{"citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:4cc93b0892463c950cf11a77adcbb48cef9b347a2f38310161af81142de9f1b6","observation_id":"62508afe-afef-46bf-877e-097d917708e2","resolution":{"observed_at":"2026-08-12T19:18:01.703418Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/978-3-031-65668-2_20","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-13T11:03:48.094449Z","title":"Advancing ITS Applications with LLMs: A Survey on Traffic Management, Transportation Safety, and Autonomous Driving,","venue":"Lecture notes in computer science","work_id":"e7a90e9e-1a5a-4acd-b1ea-a3fbe6237479","year":2024},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.711612Z"},"links":{"citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:9e8fbcc799f1609f0583939a6c2df1fdb74c6d245b1d7a7158eba918a4dd07e6","observation_id":"3d4877d4-1965-4f5a-9da5-220e92f0ea4d","resolution":{"observed_at":"2026-08-12T19:18:01.853574Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T19:18:01.721539Z","title":"Enhancing Network Management Using Code Generated by Large Language Models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.721539Z"},"links":{"citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:8f3923ba47673cebad166a3cb2b0e59cb4fa0f460ba717bdcefbf679716a847c","observation_id":"a6c37404-4d60-4b00-bf2f-522394b2f6f8","resolution":{"observed_at":"2026-08-12T19:18:01.721539Z","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":"2026-08-12T19:18:01.732734Z","title":"MTD -GPT: A Multi-Task Decision-Making GPT Model for Autonomous Driving at Unsignalized Intersections,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.732734Z"},"links":{"citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:3cb0c30348692f295ca0b36ef3e51ee49e29226744f5159f2bee20d95e97dfa9","observation_id":"e7e057e0-a1da-484e-a740-33646ac00d2d","resolution":{"observed_at":"2026-08-12T19:18:01.732734Z","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":"2026-08-12T19:18:01.741418Z","title":"ConnectGPT: Connect Large Language Models with Connected and Automated Vehicles,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.741418Z"},"links":{"citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:44713f3daa8d525a9a33adcf0a37b0c325c59df6e0d37b24d5813f926ea4cbd4","observation_id":"2c28b559-df01-417d-a2b7-0b2d79eb8bf8","resolution":{"observed_at":"2026-08-12T19:18:01.741418Z","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":"2024.12465","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:18:02.375448Z","title":"Prompting GPT –4 to support automatic safety case generation,","venue":null,"work_id":"ff196565-1b31-4fa4-b38b-feb139eecb47","year":2024},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.751508Z"},"links":{"citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:fa21dfe40c193db359a4a3b07b29d1dde1648d4d4a46b9ebd212b92571bc1de9","observation_id":"5846b849-4395-455d-9711-1e5158437261","resolution":{"observed_at":"2026-08-12T19:18:02.387798Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T19:18:03.599808Z","title":"DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction,","venue":null,"work_id":"d4b9e51c-2e40-49b5-9f8a-6f8c209eb20c","year":2021},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.761176Z"},"links":{"citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:845f374aaa37d2a0d0a4695e24f094e41314b1df9645986d4185e49c20a47b1f","observation_id":"7e67db48-1144-499a-8e3c-006e3745d790","resolution":{"observed_at":"2026-08-12T19:18:03.609720Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T19:18:01.769409Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm","version":1},"reference_index":4525,"source":"pdf_text","source_observed_at":"2026-08-12T19:18:01.769409Z"},"links":{"citing_paper":"/paper/2411.10869"},"observation_digest":"sha256:2a9549d074e244931458b346378538be1e76811c78287a5845a8594b5c6afb45","observation_id":"b34549da-76ed-40e1-b9fa-d37670ffdf3b","resolution":{"observed_at":"2026-08-12T19:18:01.769409Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2411.10869","last_updated":"2024-11-16T19:23:52Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-13T18:12:23.913454Z","submitted_at":"2024-11-16T19:23:52Z","title":"Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm"},"reference_resolution":{"displayed":52,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":23,"verified_exact":7,"verified_fuzzy":21},"total_outbound_references":52},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2411.10869."}