{"as_of":"2026-08-09T09:20:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a2f18f5de32015d1218816c731f05a10adacba630704015c31c22b15afcfb188","coverage":[{"denominator":55,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":55,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T10:04:46.440957Z","state":"measured"},{"denominator":55,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":55,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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/2601.11809/citation-record","integrity":"/paper/2601.11809/integrity","json":"/paper/2601.11809/citation-record.json","paper":"/paper/2601.11809"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T10:04:38.266373Z","title":"Performance measurement evaluation framework and co-benefittradeoff analysis for connected and automated vehicles (cav) applications: A survey,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:38.266373Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:7c39d68a0905d28e85a75c68828fe80eccabadab244aecbe0daa4426242ca38b","observation_id":"7d674164-3fc4-4573-b3c3-84f5ba9b57ef","resolution":{"observed_at":"2026-08-03T10:04:38.266373Z","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":"2026-08-03T10:04:38.379395Z","title":"A review of communication, driver characteristics, and controls aspects of cooperative adaptive cruise con- trol (cacc),","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:38.379395Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:45ef47f3a2dd4a1198010d46a1c96929bc7511287a26f79c6a62a7bf8cc5ed32","observation_id":"bdef35be-5ae7-4adc-9f28-6427a97d86b5","resolution":{"observed_at":"2026-08-03T10:04:38.379395Z","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":"2026-08-03T10:04:38.526610Z","title":"Aerodynamic drag analysis of autonomous electric vehicle platoons,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:38.526610Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:83630e72cbd88068b6114bb7ae0f476435c6ec46d32ed366ba811762a98de2b9","observation_id":"3adc9bd9-b93f-4220-a296-e4cba0ebb3ad","resolution":{"observed_at":"2026-08-03T10:04:38.526610Z","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":"2026-08-03T10:04:38.701672Z","title":"Cooperative connected autonomous vehicles (cav): Research, applications and challenges,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:38.701672Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:0e6dd6e709d5acdcc4997b40077cdd7c515619871e322f3bb7ce0d762060858b","observation_id":"dcf1b7d0-0ab5-45e7-b15b-5f2628ea988a","resolution":{"observed_at":"2026-08-03T10:04:38.701672Z","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":"2026-08-03T10:04:38.817639Z","title":"Unravelling effects of cooperative adaptive cruise control deactivation on traffic flow characteristics at merging bottlenecks,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:38.817639Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:97451aa6fde1fc7053eafee934c2fc65dac59eaab3b2516ca410e76e0cef0418","observation_id":"50f24813-e3c6-4936-ad3f-5f699560b692","resolution":{"observed_at":"2026-08-03T10:04:38.817639Z","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":"2026-08-03T10:04:38.965438Z","title":"Modeling impacts of cooperative adaptive cruise control on mixed traffic flow in multi-lane freeway facilities,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:38.965438Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:f9864e70ec75e0b94a3a004be890388ed3a6369e49245b0487c6446e1776ec7f","observation_id":"e34d801e-485d-4cb6-8088-a6694579eced","resolution":{"observed_at":"2026-08-03T10:04:38.965438Z","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":"2026-08-03T10:04:39.141098Z","title":"Influence of exclusive lanes for connected and autonomous vehicles on freeway traffic flow,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:39.141098Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:41a95ecdd7d451721ebe34d3b9a42223b54202cddc5de06110b54ab64837e027","observation_id":"f9c0e98b-e507-405d-94a6-2a8f14ce396a","resolution":{"observed_at":"2026-08-03T10:04:39.141098Z","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":"2026-08-03T10:04:39.255090Z","title":"Flow-aware platoon formation of connected automated vehicles in a mixed traffic with human-driven vehicles,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:39.255090Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:97898f803cbfd34af7b9cef917cf54105ce3f3d83f285b9c10dbfab55b1d2f9a","observation_id":"abd117a3-0a39-4ec6-b576-02a147399d15","resolution":{"observed_at":"2026-08-03T10:04:39.255090Z","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":"2026-08-03T10:04:39.435072Z","title":"Impact of cav platoon management on traffic flow considering degradation of control mode,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:39.435072Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:fcf57cb272ae71421e488f5a0454fe415bd58e360bd888e22cd9cae6c2f5800e","observation_id":"0befb14e-62ac-4d94-aec7-48cade8deb2d","resolution":{"observed_at":"2026-08-03T10:04:39.435072Z","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":"2026-08-03T10:04:39.595014Z","title":"Design and operation of dedicated lanes for connected and automated vehicles on motorways: A conceptual framework and research agenda,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:39.595014Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:ff6373e75cefef0da3e34350ce9b4190e611f5c5cb45c0d35b5b3af178cec974","observation_id":"d5677151-a56a-4076-a6ed-866fa8304fd9","resolution":{"observed_at":"2026-08-03T10:04:39.595014Z","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":"2026-08-03T10:04:39.760425Z","title":"Leveraging dynamic right-of- way allocation and tolling policy for cav dedicated lane management to promote cav and improve mobility,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:39.760425Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:e4785cbf996d0aee607f88b60bb546ddc28e5fc9fba071dfeded57cc5bf17cc8","observation_id":"87995f97-82bb-4b46-bfac-0d0b6e6451e8","resolution":{"observed_at":"2026-08-03T10:04:39.760425Z","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":"2026-08-03T10:04:39.927327Z","title":"Optimal lane management policy for connected automated vehicles in mixed traffic flow,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:39.927327Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:7e34ba17ffbbb12143da3396713335b1fe9d80167099131f33500b8c3aee61a9","observation_id":"15ed6edd-0901-4b9c-8f7f-b598fdf4b51d","resolution":{"observed_at":"2026-08-03T10:04:39.927327Z","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":"2026-08-03T10:04:40.062518Z","title":"Lane-changing in traffic streams,","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:40.062518Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:e8fbd0797f1566a952ab60a9366b1305acb8b6a7430a399185e9337a3716e0d9","observation_id":"f493612d-84ad-4be0-b3a8-0de17c83ff21","resolution":{"observed_at":"2026-08-03T10:04:40.062518Z","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":"2026-08-03T10:04:40.139754Z","title":"Capacity-drop at extended bottlenecks: Merge, diverge, and weave,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:40.139754Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:3388d9bc42402e597c4c41f53b545bf9d46906dd56252b818da346c92e1963f4","observation_id":"a1990b7d-04f5-4bf8-ba5c-ab4265fb4ca8","resolution":{"observed_at":"2026-08-03T10:04:40.139754Z","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":"2026-08-03T10:04:40.188481Z","title":"Freeway vehicle fuel efficiency improvement via cooperative adaptive cruise control,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:40.188481Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:7e4142a9705908f7fe6ae1780771b899c8c57d5757bbabb69912407a81685d4a","observation_id":"1e9a93f6-9aa6-4b47-9bed-f677f4ec02d7","resolution":{"observed_at":"2026-08-03T10:04:40.188481Z","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":"2026-08-03T10:04:40.339572Z","title":"Heavy-duty vehicle platoon formation for fuel efficiency,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:40.339572Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:4f8101ae5e2065bae829b61fe238a41bdca16740f4847e6760bcf56ea645a0e8","observation_id":"202a185b-d5df-41cc-8635-fe0775570bc3","resolution":{"observed_at":"2026-08-03T10:04:40.339572Z","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":"2026-08-03T10:04:40.598155Z","title":"Planning of truck platoons: A literature review and directions for future research,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:40.598155Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:23313c85435fc7fc4a2b52d8ed833d275772a01499e68e168abbacc9e0dc8a07","observation_id":"2094c745-6c37-4828-9d26-7a206b104ce8","resolution":{"observed_at":"2026-08-03T10:04:40.598155Z","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":"10.1111/mice.12899","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Decentralized coordination for truck platooning,","venue":"Computer-Aided Civil and Infrastructure Engineering","work_id":"2766c795-25e1-4025-82cb-96efc6980ae9","year":1997},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:40.746281Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:b5def211d85bc85b5aece7f330046ba6b8dddcba90330f1cf339bee7a40a34fd","observation_id":"eff6ee71-056c-41ea-8297-32663c4c2613","resolution":{"observed_at":"2026-08-03T10:08:28.160180Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-03T10:04:40.906595Z","title":"Where to decide? centralized vs. dis- tributed vehicle assignment for platoon formation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:40.906595Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:85d6e4f1546a190d9b29708ee9198e2c8180dfdef29da66ebaae028348844956","observation_id":"d3e034f9-5134-43a0-a6eb-adba1d9505f0","resolution":{"observed_at":"2026-08-03T10:04:40.906595Z","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":"2026-08-03T10:04:41.124776Z","title":"Review of Lane-Changing Maneuvers of Connected and Automated Vehicles: Models, Algorithms and Traffic Impact Analyses,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:41.124776Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:a5b0da0ae466d6a62751f65956e6e0cd7c4a77c83209a3c2b98a3a1b6c7fcf04","observation_id":"96310598-2553-4e41-b7c9-e05367f492ab","resolution":{"observed_at":"2026-08-03T10:04:41.124776Z","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":"2026-08-03T10:04:41.294933Z","title":"Analysis of lane-change crashes and near-crashes,","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:41.294933Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:77d0fc5ef1c105da349aa2151a7a245cccf6533c5e870678ba085ffe9f4464e8","observation_id":"dcfd64c4-4e93-45cf-bbda-b912e17b7e7b","resolution":{"observed_at":"2026-08-03T10:04:41.294933Z","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":"2026-08-03T10:04:41.453984Z","title":"Studies of vehicle lane-changing dynamics and its effect on traffic efficiency, safety and environmental impact,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:41.453984Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:89b5b5a0cfc0625a9e204446f90956dec8eef9b6e83ffb5fb4358636f7da851f","observation_id":"0e52166c-2428-4799-a93a-a945893babec","resolution":{"observed_at":"2026-08-03T10:04:41.453984Z","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":"2026-08-03T10:04:41.564196Z","title":"A model for the structure of lane-changing decisions,","venue":null,"work_id":null,"year":1986},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:41.564196Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:dd3faf707211a42e7eedda15daa8c9f98857ba025f23d55feb35b4d1477df7cd","observation_id":"c6bf05f0-a507-4101-96e5-d3a2e07e76e5","resolution":{"observed_at":"2026-08-03T10:04:41.564196Z","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":"2026-08-03T10:04:41.905865Z","title":"Estimation of traffic densities for multilane roadways using a markov model approach,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:41.905865Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:15fd4d5d394a81eb86c958b28b6df1a881235a50b6a2559e6d4b270d114d53ed","observation_id":"0cbddcfc-8dee-46c7-8325-005b1b7c3960","resolution":{"observed_at":"2026-08-03T10:04:41.905865Z","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":"2026-08-03T10:04:42.111902Z","title":"Pay to change lanes: A cooperative lane-changing strategy for connected/automated driving,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:42.111902Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:153c187df4c146342b02ccf81b73b9b0a4ebed5e40b6884cee9d67058eea8a1a","observation_id":"a6d73a75-0de2-4163-8169-f1641e0f2c12","resolution":{"observed_at":"2026-08-03T10:04:42.111902Z","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":"2026-08-03T10:04:42.305177Z","title":"Review of deep learning: concepts, CNN architectures, challenges, applications, future directions,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:42.305177Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:03e1adc8287412d44942c0ae19e2221f3d47ff8ff362e28c1c4f87537099cbaf","observation_id":"b60a86dd-e6cb-4905-b5b4-9356f3c9627e","resolution":{"observed_at":"2026-08-03T10:04:42.305177Z","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":"2026-08-03T10:04:42.398839Z","title":"Human-level control through deep reinforcement learning,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:42.398839Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:aaafac8ae82fa3995b6add4e9e9675c34034d42f5fb01c4e256df5ad838884a5","observation_id":"fc2ad2e4-4143-40ad-ab73-26cb29bccc74","resolution":{"observed_at":"2026-08-03T10:04:42.398839Z","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":"2026-08-03T10:04:42.566970Z","title":"Mastering the game of go without human knowledge,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:42.566970Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:a0eeac91a875f10cf827e9a3a20eff8907c18de210698f4484f8153ab767bc8b","observation_id":"55a36d00-205b-4dd1-9090-4aed1db270e5","resolution":{"observed_at":"2026-08-03T10:04:42.566970Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1712.01815","last_updated":"2017-12-05T18:45:38Z","snapshot_observed_at":"2026-08-02T00:39:04.960144Z","submitted_at":"2017-12-05T18:45:38Z","title":"Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1712.01815","snapshot_observed_at":"2026-08-03T10:04:42.730729Z","title":"Mastering chess and shogi by self-play with a general reinforcement learning algorithm,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:42.730729Z"},"links":{"cited_paper":"/paper/1712.01815","citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:4334eb34343afcca98915f226df5fa73ddcb63327428aec3bdc6b1cc94db4c46","observation_id":"c278cb97-5e22-497d-89f4-23db7ec1a477","resolution":{"observed_at":"2026-08-03T10:04:42.730729Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1610.03295","last_updated":"2016-10-11T12:09:03Z","snapshot_observed_at":"2026-08-03T05:49:14.071341Z","submitted_at":"2016-10-11T12:09:03Z","title":"Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1610.03295","snapshot_observed_at":"2026-08-03T10:04:42.911673Z","title":"Safe, multi-agent, reinforcement learning for autonomous driving,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:42.911673Z"},"links":{"cited_paper":"/paper/1610.03295","citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:6e600c311e1389c2760381e7aaf2257775dc371d811657ba44be2dd0cb042c94","observation_id":"1826a259-7c8b-49c4-a1a3-2df284b42d25","resolution":{"observed_at":"2026-08-03T10:04:42.911673Z","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":"2026-08-03T10:04:43.083436Z","title":"Deep reinforcement learning framework for autonomous driving,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:43.083436Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:24de0f5d4bf1e636b6eb74d1b1ad4702f59430eaa861227f3c4092487ce305e2","observation_id":"92fb694f-5c84-43cf-a23a-0ae29b7f87d0","resolution":{"observed_at":"2026-08-03T10:04:43.083436Z","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":"2026-08-03T10:04:43.230174Z","title":"Lane change decision- making through deep reinforcement learning with rule-based con- straints,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:43.230174Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:86395ed33012ffb82607ccbd2379541c38e0dd44b2a8d73aa3aa5f396764a7b4","observation_id":"b1e66c7f-d5f9-4d24-8e54-7df28b115d33","resolution":{"observed_at":"2026-08-03T10:04:43.230174Z","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":"2026-08-03T10:04:43.409058Z","title":"An intelli- gent lane-changing behavior prediction and decision-making strategy for an autonomous vehicle,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:43.409058Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:6d5ec12430124d98758f4d1e7364472921776cecdcd19183da27cc9fa1f4417c","observation_id":"54cc2cae-6ee7-4158-a943-e183197d7ae8","resolution":{"observed_at":"2026-08-03T10:04:43.409058Z","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":"2026-08-03T10:04:43.557440Z","title":"Multi-agent drl-based lane change with right-of-way collaboration awareness,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:43.557440Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:639184c25b54a35188dfa3a49a102d99bc401ff890fd3dda77cd6ce76ee4cffa","observation_id":"2c2c9c82-6c57-4ccc-b8a9-76474e50029e","resolution":{"observed_at":"2026-08-03T10:04:43.557440Z","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":"2026-08-03T10:04:43.695586Z","title":"Driving decision and control for automated lane change behavior based on deep reinforcement learning,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:43.695586Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:5ca270356b4d66f443e5d3a8d3dcd89ca33717672828ab89001a23030b93ff1e","observation_id":"5c5826f6-568b-4557-8859-51911b8135ac","resolution":{"observed_at":"2026-08-03T10:04:43.695586Z","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":"2026-08-03T10:04:43.874677Z","title":"An integrated model for autonomous speed and lane change decision-making based on deep re- inforcement learning,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:43.874677Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:d842fbe73fabcf0f4cc545f8b08c9dce232f01fd55061fda56219208ea09c1ec","observation_id":"c2a8a9b1-8703-405d-9e10-e4cfab33a0c4","resolution":{"observed_at":"2026-08-03T10:04:43.874677Z","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":"2026-08-03T10:04:44.022951Z","title":"Decision making of autonomous vehicles in lane change scenarios: Deep reinforcement learning approaches with risk awareness,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:44.022951Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:3da3e97685b18e6936d389a033cb1d50241d401c3b8d550efdea28b718078ff9","observation_id":"011f37d6-338f-46ef-8aa6-ef204e421a7f","resolution":{"observed_at":"2026-08-03T10:04:44.022951Z","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":"2026-08-03T10:04:44.156084Z","title":"Attention-based hierarchical deep reinforcement learning for lane change behaviors in autonomous driving,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:44.156084Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:eb58d7731cb37c55862d287020747f7bb1f552be0ad15b2569b67ceac933a9ad","observation_id":"ebe0b45e-2b76-4cd0-ad0f-4da3cd4b4a9c","resolution":{"observed_at":"2026-08-03T10:04:44.156084Z","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":"2026-08-03T10:04:44.271463Z","title":"Highway lane change decision- making via attention-based deep reinforcement learning,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:44.271463Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:3011c65438b66aceb1dd59b9553c66e13242f7b41ef43ddc640fa8e5b0eda881","observation_id":"6117dc1d-9d4a-466f-a254-2ba6cba10a91","resolution":{"observed_at":"2026-08-03T10:04:44.271463Z","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":"2026-08-03T10:04:44.406335Z","title":"Multi-reward architecture based reinforcement learning for highway driving policies,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:44.406335Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:f8a449174b9223d05924b86a1c2e35aa1a686c66025f690e3c9d4b84f4f8e6c3","observation_id":"e71403f5-6533-4652-943b-8a5f60c4e4b6","resolution":{"observed_at":"2026-08-03T10:04:44.406335Z","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":"2026-08-03T10:04:44.544421Z","title":"Harmonious lane changing via deep reinforcement learning,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:44.544421Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:179fcab05410eca7bbb3a4ba7f7fbc43ca9d315d6ea6fe03a448225e1b38d714","observation_id":"399fd5c7-f2b9-46cb-b2b8-2be3f1391ca3","resolution":{"observed_at":"2026-08-03T10:04:44.544421Z","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":"2026-08-03T10:04:44.691439Z","title":"High-level decision making for safe and reasonable autonomous lane changing using reinforcement learning,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:44.691439Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:cda638342f292ec5af85fd2be30ba31d2a09b623d6ad7008676360fd457d9058","observation_id":"c36ea061-bf57-4011-bf7b-adf330ded5fe","resolution":{"observed_at":"2026-08-03T10:04:44.691439Z","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":"2026-08-03T10:04:44.810123Z","title":"A reinforcement learning approach to autonomous decision making of intelligent vehicles on highways,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:44.810123Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:6ed7b6ad7f00a500bdc1fc351d2a43fa4471e7e5a5183293dc2cb2c104a8cc3e","observation_id":"7add3998-f870-4426-9e3e-a39872f53f7f","resolution":{"observed_at":"2026-08-03T10:04:44.810123Z","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":"2026-08-03T10:04:44.933916Z","title":"A real-world reinforcement learning framework for safe and human-like tactical decision-making,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:44.933916Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:86c22ab8be40a3b229dc1ac18a60247acb596d5a7204a8150b1ddcaeaaec0a5a","observation_id":"0de8ead0-1400-4191-ad5b-3be94837e701","resolution":{"observed_at":"2026-08-03T10:04:44.933916Z","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":"2026-08-03T10:04:45.101837Z","title":"Modeling coupled driving behavior during lane change: A multi-agent transformer reinforcement learning approach,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:45.101837Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:d5e9b77f83f90a128f175df459572465084778d9f69373492ddebf143d37edb9","observation_id":"ba3cc2bc-511e-4a98-a3a6-eda8b93c5952","resolution":{"observed_at":"2026-08-03T10:04:45.101837Z","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":"2026-08-03T10:04:45.254966Z","title":"Coordination for con- nected and automated vehicles at non-signalized intersections: A value decomposition-based multiagent deep reinforcement learning approach,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:45.254966Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:29bd1ed10478f3b0a7caa2d0d63887bcf72c488d6bfb155532c9372f12a039cc","observation_id":"95318a76-c1cc-4ea8-8ba5-4216b1b6de5e","resolution":{"observed_at":"2026-08-03T10:04:45.254966Z","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":"2026-08-03T10:04:45.374478Z","title":"Multi- agent actor-critic for mixed cooperative-competitive environments,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:45.374478Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:4fadf4ee8dacd75f0895663b01303310552f107764ee92d70765932de452235a","observation_id":"2efa55a8-42ea-481c-b7f6-880769c66f81","resolution":{"observed_at":"2026-08-03T10:04:45.374478Z","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":"2026-08-03T10:04:45.623859Z","title":"Fundamentals of recurrent neural network (rnn) and long short-term memory (lstm) network,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:45.623859Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:5df47ae6200894e4eee4a1b8208cd6eaad7ab048a119ca54bbe6f8f635fba53c","observation_id":"9303d59d-04f4-4563-b419-a4a2c0ab3943","resolution":{"observed_at":"2026-08-03T10:04:45.623859Z","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":"2026-08-03T10:04:45.742230Z","title":"Kinematic and dynamic vehicle models for autonomous driving control design,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:45.742230Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:95631d80678100180f90e8a2fc3fe5d18237adb2c4d91db03123d8aae3882976","observation_id":"6988bdd8-adfc-4625-85a7-1ca990ee9524","resolution":{"observed_at":"2026-08-03T10:04:45.742230Z","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":"2026-08-03T10:04:45.879911Z","title":"General lane-changing model mobil for car-following models,","venue":null,"work_id":null,"year":1999},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:45.879911Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:e14ed500d4ba214d92b57d8fc3ab6c8524f9015241965e5930e6b5caf2f17584","observation_id":"ddbbba81-6e99-403c-95c4-70e43958da9c","resolution":{"observed_at":"2026-08-03T10:04:45.879911Z","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":"2026-08-03T10:04:46.018794Z","title":"Congested traffic states in empirical observations and microscopic simulations,","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:46.018794Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:1242f8c92bcee8a1c216e08c31c01856025b36ec449a27cd563f08ed60edc78a","observation_id":"6f403fec-d6fa-4365-9d08-b173856d85c2","resolution":{"observed_at":"2026-08-03T10:04:46.018794Z","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":"2026-08-03T10:04:46.237752Z","title":"String-stable cacc design and experimental validation, a frequency- domain approach,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:46.237752Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:93c73b1d62ea388cde4f06069ce09ffd93bdbf7d3f8caac8fb179a575c51b6cd","observation_id":"9dcf5c63-4966-40e9-afdf-a03c6e63030f","resolution":{"observed_at":"2026-08-03T10:04:46.237752Z","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":"2026-08-03T10:04:46.294042Z","title":"Impacts of commercially available adaptive cruise control vehicles on highway stability and throughput,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:46.294042Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:40826a5574d21adbf10eb679629c8a10ddbb5088002f0b83912e2dad18585e48","observation_id":"e58d9e4d-47f9-41b6-a2ff-9eba528905f7","resolution":{"observed_at":"2026-08-03T10:04:46.294042Z","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":"2026-08-03T10:04:46.440957Z","title":"Calibration and evaluation of car following models using real-world driving data,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:46.440957Z"},"links":{"citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:b2451d44b0abb38a193097730177932116cd1ee52db59f73bbdf17d06ac7f8f9","observation_id":"39a23d8e-192c-4ce9-8f15-1098c7e84e99","resolution":{"observed_at":"2026-08-03T10:04:46.440957Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1706.02275","last_updated":"2020-03-14T20:33:00Z","snapshot_observed_at":"2026-08-04T19:23:21.346128Z","submitted_at":"2017-06-07T17:35:00Z","title":"Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.02275","snapshot_observed_at":"2026-08-03T10:04:45.505225Z","title":"Available: https://arxiv.org/abs/1706.02275","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic","version":2},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-03T10:04:45.505225Z"},"links":{"cited_paper":"/paper/1706.02275","citing_paper":"/paper/2601.11809"},"observation_digest":"sha256:f7212c5bbe665b577d47ded275c09dc118dda3654fd19f92fc0fc645000d1f1d","observation_id":"8b4c9fb9-86a5-4708-8b81-74db61bec164","resolution":{"observed_at":"2026-08-03T10:04:45.505225Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2601.11809","last_updated":"2026-07-25T21:30:19Z","latest_version":2,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-08T05:00:42.535903Z","submitted_at":"2026-01-16T22:22:05Z","title":"Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic"},"reference_resolution":{"displayed":55,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":54,"verified_exact":1,"verified_fuzzy":0},"total_outbound_references":55},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2601.11809."}