{"as_of":"2026-08-22T02:57:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:12e8b137c68c8f29be7128853a3beee2cd3146d6e0f2677f4246ac2128335f8e","coverage":[{"denominator":54,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":54,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-12T20:16:37.290099Z","state":"measured"},{"denominator":154,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":154,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":133,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T23:09:47.143420Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"pith","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":92,"observed_at":"2026-08-05T02:28:24.338817Z","source":"pith"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-12T21:40:26.005960Z","title":"Argoverse 2: Next generation datasets for self-driving perception and forecasting,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.08433","last_updated":"2024-11-13T08:34:07Z","snapshot_observed_at":"2026-08-16T23:31:17.882021Z","submitted_at":"2024-11-13T08:34:07Z","title":"3D Multi-Object Tracking with Semi-Supervised GRU-Kalman Filter","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T21:40:26.005960Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2411.08433"},"observation_digest":"sha256:ab8e3e5f50b58181c5d453c2aecf0280d757c3294ae09fc33d2ff2012dfb8e3d","observation_id":"c047b8b0-21f0-40b1-96d2-92a9e1bf96b0","resolution":{"observed_at":"2026-08-12T21:40:26.005960Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2411.09887","last_updated":"2024-11-15T02:18:35Z","snapshot_observed_at":"2026-07-06T19:50:42.251149Z","submitted_at":"2024-11-15T02:18:35Z","title":"Planning by Simulation: Motion Planning with Learning-based Parallel Scenario Prediction for Autonomous Driving","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-05-23T17:35:44.374814Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2411.09887"},"observation_digest":"sha256:bd096198cfda955dcb40b207661cbae2998a9827d08f9233baeba4184bb028e1","observation_id":"b5132087-fbfd-4489-9748-284ecbbff7be","resolution":{"observed_at":"2026-05-23T17:38:15.903860Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-12T19:11:49.130422Z","title":"Argoverse 2: Next generation datasets for self-driving perception and forecasting","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.10961","last_updated":"2024-11-17T04:50:44Z","snapshot_observed_at":"2026-08-19T20:40:37.839839Z","submitted_at":"2024-11-17T04:50:44Z","title":"Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-12T19:11:49.130422Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2411.10961"},"observation_digest":"sha256:61f4c2cd5fface63e2c5aaa0e6f716096a3df094b6d4fab944f86b3976e0b8a5","observation_id":"e32a45cf-9cf7-404c-ad14-1211df9743c8","resolution":{"observed_at":"2026-08-12T19:11:49.130422Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-12T16:37:13.532691Z","title":"Argoverse 2: Next generation datasets for self-driving perception and forecasting,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.13340","last_updated":"2025-08-19T05:15:31Z","snapshot_observed_at":"2026-08-15T22:01:23.015617Z","submitted_at":"2024-11-20T14:12:34Z","title":"WHALES: A Multi-Agent Scheduling Dataset for Enhanced Cooperation in Autonomous Driving","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T16:37:13.532691Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2411.13340"},"observation_digest":"sha256:bc5b30ecfb67049a6e3db30ad6f8f64d429a670b46bfa95169fc044f2390480b","observation_id":"157ee1a3-215b-4345-82d3-ef79cfd55b94","resolution":{"observed_at":"2026-08-12T16:37:13.532691Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-12T13:18:36.598222Z","title":"Ar- goverse 2: Next generation datasets for self-driving perception and forecasting,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.16316","last_updated":"2024-12-11T10:14:04Z","snapshot_observed_at":"2026-08-17T17:47:15.719259Z","submitted_at":"2024-11-25T12:09:43Z","title":"Monocular Lane Detection Based on Deep Learning: A Survey","version":6},"reference_index":149,"source":"pdf_text","source_observed_at":"2026-08-12T13:18:36.598222Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2411.16316"},"observation_digest":"sha256:d6bb1a4aa33ef539a89d21e7b3ff1f0a685581df5d3cecc660f630081def37ee","observation_id":"7f3e6778-d786-4b32-a428-5ea27ba8f29f","resolution":{"observed_at":"2026-08-12T13:18:36.598222Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-12T12:30:34.435732Z","title":"Argoverse 2: Next generation datasets for self-driving perception and forecasting,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.17161","last_updated":"2025-04-11T06:50:39Z","snapshot_observed_at":"2026-08-20T03:43:45.777685Z","submitted_at":"2024-11-26T07:05:05Z","title":"Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T12:30:34.435732Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2411.17161"},"observation_digest":"sha256:ec16b961e777ce6d4bd0dbccc6d3bfa392b16516c3620be36d923fd5defc95d4","observation_id":"cccf2514-e774-4c4f-98be-f718726b16a3","resolution":{"observed_at":"2026-08-12T12:30:34.435732Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-12T11:28:36.132097Z","title":"Argoverse 2: Next generation datasets for self-driving perception and forecasting","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.18229","last_updated":"2024-11-27T11:07:27Z","snapshot_observed_at":"2026-08-16T20:24:32.770604Z","submitted_at":"2024-11-27T11:07:27Z","title":"SharpDepth: Sharpening Metric Depth Predictions Using Diffusion Distillation","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-12T11:28:36.132097Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2411.18229"},"observation_digest":"sha256:227607d708bb452ff61572fba7898a36969ad627f4544f9f87e1649f1201e358","observation_id":"4474401e-c880-4013-9f5a-9a53022e68b4","resolution":{"observed_at":"2026-08-12T11:28:36.132097Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-12T11:24:11.495349Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.18302","last_updated":"2024-11-30T05:54:28Z","snapshot_observed_at":"2026-08-19T05:44:47.233028Z","submitted_at":"2024-11-27T12:48:31Z","title":"InterHub: A Naturalistic Trajectory Dataset with Dense Interaction for Autonomous Driving","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-12T11:24:11.495349Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2411.18302"},"observation_digest":"sha256:a59a3dc0b132017e6f5d10906ff9c41b8d0f5134f3b4af6bf467b02a80e1451c","observation_id":"34e9bb4b-2700-4d1b-bb1f-bb0cb448634f","resolution":{"observed_at":"2026-08-12T11:24:11.495349Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-11T23:48:11.298633Z","title":"Wilson, W","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.02244","last_updated":"2024-12-03T08:16:59Z","snapshot_observed_at":"2026-08-15T17:45:29.152307Z","submitted_at":"2024-12-03T08:16:59Z","title":"On Simplifying Large-Scale Spatial Vectors: Fast, Memory-Efficient, and Cost-Predictable k-means","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-11T23:48:11.298633Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2412.02244"},"observation_digest":"sha256:c1d71648f620828d210457c5b4ea5de4d8fb8f007fcba2fbe88c998efa1f0a4b","observation_id":"6fab701e-d9fd-416f-89ab-0d532b2e0c50","resolution":{"observed_at":"2026-08-11T23:48:11.298633Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-11T20:53:35.141608Z","title":"Argoverse 2: Next generation datasets for self-driving perception and forecasting","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.05256","last_updated":"2025-03-12T20:57:59Z","snapshot_observed_at":"2026-08-13T09:15:31.750011Z","submitted_at":"2024-12-06T18:41:39Z","title":"Extrapolated Urban View Synthesis Benchmark","version":3},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:35.141608Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2412.05256"},"observation_digest":"sha256:6839da4ed96915791b842c0084f3192ef1e4e75fb66c8712059ae2721ef36e09","observation_id":"5e22142d-7572-422e-9287-f59655bfb311","resolution":{"observed_at":"2026-08-11T20:53:35.141608Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-11T13:55:39.201536Z","title":"K.; Ramanan, D.; Carr, P.; and Hays, J","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.12704","last_updated":"2024-12-17T09:19:44Z","snapshot_observed_at":"2026-08-18T02:27:00.494804Z","submitted_at":"2024-12-17T09:19:44Z","title":"MapExpert: Online HD Map Construction with Simple and Efficient Sparse Map Element Expert","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-11T13:55:39.201536Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2412.12704"},"observation_digest":"sha256:08f1f3554726578cdb729cf998d21974c0b84c84d0b29a2abba291cc66a443dd","observation_id":"58d67e81-e121-4372-8e84-89c2c217fb0a","resolution":{"observed_at":"2026-08-11T13:55:39.201536Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-11T06:00:53.670325Z","title":"Argoverse 2: Next generation datasets for self-driving perception and forecasting","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.16938","last_updated":"2024-12-22T09:17:08Z","snapshot_observed_at":"2026-08-18T20:37:16.233385Z","submitted_at":"2024-12-22T09:17:08Z","title":"ImagineMap: Enhanced HD Map Construction with SD Maps","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T06:00:53.670325Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2412.16938"},"observation_digest":"sha256:d668e1e69f1d17443171e0c3c62015f8ab43a0549424e9f0a8d4f107cf5265b1","observation_id":"e1851ee9-f9fe-473b-8456-0cff6e34023f","resolution":{"observed_at":"2026-08-11T06:00:53.670325Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-11T05:06:16.425482Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.18086","last_updated":"2025-05-01T02:31:17Z","snapshot_observed_at":"2026-08-19T21:27:59.483878Z","submitted_at":"2024-12-24T01:52:19Z","title":"Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner","version":2},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-11T05:06:16.425482Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2412.18086"},"observation_digest":"sha256:451c00a4886c70939bc93bfdcc38edccaa18dd68af2a0a4492c2559f0924c617","observation_id":"a7689427-e8f4-4cac-b1b7-15978dfba9d3","resolution":{"observed_at":"2026-08-11T05:06:16.425482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-10T22:52:35.061065Z","title":"Argoverse 2: Next generation datasets for self-driving perception and forecasting","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.00602","last_updated":"2024-12-31T18:59:58Z","snapshot_observed_at":"2026-08-16T06:13:47.048562Z","submitted_at":"2024-12-31T18:59:58Z","title":"STORM: Spatio-Temporal Reconstruction Model for Large-Scale Outdoor Scenes","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T22:52:35.061065Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2501.00602"},"observation_digest":"sha256:6f766b96ea25d985e857b17687f3c034e982630589cd3fb4f20851907d3028d2","observation_id":"05bb084f-0371-4a1e-93b4-82e4458923d7","resolution":{"observed_at":"2026-08-10T22:52:35.061065Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-10T21:31:12.023705Z","title":"Argoverse 2: Next generation datasets for self-driving perception and forecasting","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.04815","last_updated":"2025-01-08T20:11:09Z","snapshot_observed_at":"2026-08-19T04:21:40.830450Z","submitted_at":"2025-01-08T20:11:09Z","title":"Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T21:31:12.023705Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2501.04815"},"observation_digest":"sha256:094c3af81ff1ae3224d5ecb366f8439ff9378fc6e72acf425a165e6697dc4e62","observation_id":"1bfc2c24-c20f-48b2-88ca-c965fb33855f","resolution":{"observed_at":"2026-08-10T21:31:12.023705Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-10T21:09:03.675294Z","title":"https://doi.org/10.48550/arXiv.2301.00493","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.06089","last_updated":"2025-09-12T03:22:52Z","snapshot_observed_at":"2026-08-13T06:33:17.627775Z","submitted_at":"2025-01-10T16:39:01Z","title":"Towards Developing Socially Compliant Automated Vehicles: Advances, Expert Insights, and A Conceptual Framework","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-10T21:09:03.675294Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2501.06089"},"observation_digest":"sha256:82d24013aa62dd0c5c0df803b32300d4f6c87b3f944ee5ace343f776eead3a99","observation_id":"ce8c3134-b63a-4e56-a5ab-25ff9a771b88","resolution":{"observed_at":"2026-08-10T21:09:03.675294Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-10T18:31:52.910915Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.11260","last_updated":"2025-09-10T14:02:23Z","snapshot_observed_at":"2026-08-16T09:13:51.664817Z","submitted_at":"2025-01-20T04:00:02Z","title":"A Survey of World Models for Autonomous Driving","version":4},"reference_index":204,"source":"pdf_text","source_observed_at":"2026-08-10T18:31:52.910915Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2501.11260"},"observation_digest":"sha256:1b230122cdc07294e47afb2df56524971c6801f7f8c67a768e2bcc94d41a35d2","observation_id":"25d122bd-b0a5-4ff1-861f-96a3b2e7d951","resolution":{"observed_at":"2026-08-10T18:31:52.910915Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-09T14:07:27.933993Z","title":"Argoverse 2: Next generation datasets for self-driving perception and forecasting","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.01894","last_updated":"2025-03-26T20:42:44Z","snapshot_observed_at":"2026-08-16T20:11:31.990694Z","submitted_at":"2025-02-04T00:00:06Z","title":"SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-09T14:07:27.933993Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2502.01894"},"observation_digest":"sha256:5592f1351f01869cf2fe5f4499b40592e669d1e2a3a0984284677c78fc4c8c5b","observation_id":"439e0562-a06a-44bd-8ac7-968a37641607","resolution":{"observed_at":"2026-08-09T14:07:27.933993Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-07T23:07:35.588469Z","title":"K.; et al","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.08974","last_updated":"2025-02-13T05:21:02Z","snapshot_observed_at":"2026-08-17T15:40:05.826936Z","submitted_at":"2025-02-13T05:21:02Z","title":"Topo2Seq: Enhanced Topology Reasoning via Topology Sequence Learning","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-07T23:07:35.588469Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2502.08974"},"observation_digest":"sha256:2775a1a204ffd8d9dbbad91f595301904a7b78412185535f34292f7b7f659a2b","observation_id":"bebbe346-5a71-4f75-a89e-923d3a019cd5","resolution":{"observed_at":"2026-08-07T23:07:35.588469Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2503.10210","last_updated":"2025-07-25T15:23:36Z","snapshot_observed_at":"2026-08-13T06:51:55.371158Z","submitted_at":"2025-03-13T09:54:08Z","title":"TARS: Traffic-Aware Radar Scene Flow Estimation","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-22T23:54:44.218963Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2503.10210"},"observation_digest":"sha256:4c922ec2d9cc62f73c50901bf3f7a1ff722d0acc3b2687c0da819d7dad02eab8","observation_id":"2426c140-a64d-48a2-9075-e9fe5f476cec","resolution":{"observed_at":"2026-05-22T23:55:15.001115Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-15T23:09:47.143420Z","title":"Argoverse 2: Next generation datasets for self-driving perception and forecasting,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.05397","last_updated":"2025-05-08T16:33:04Z","snapshot_observed_at":"2026-08-18T00:32:41.703654Z","submitted_at":"2025-05-08T16:33:04Z","title":"PillarMamba: Learning Local-Global Context for Roadside Point Cloud via Hybrid State Space Model","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T23:09:47.143420Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2505.05397"},"observation_digest":"sha256:f599c3c403bf9e24901ceeccf53f373b038df1f9c9b47a0e00c903ed2a997252","observation_id":"0c091c4b-d9c6-42d8-a9cb-122e79b79b6d","resolution":{"observed_at":"2026-08-15T23:09:47.143420Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-15T21:49:13.018112Z","title":"Argoverse 2: Next generation datasets for self-driving perception and forecasting.arXiv preprint arXiv:2301.00493, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.08854","last_updated":"2025-05-13T17:59:20Z","snapshot_observed_at":"2026-08-16T20:35:49.762883Z","submitted_at":"2025-05-13T17:59:20Z","title":"Generative AI for Autonomous Driving: Frontiers and Opportunities","version":1},"reference_index":119,"source":"pdf_text","source_observed_at":"2026-08-15T21:49:13.018112Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2505.08854"},"observation_digest":"sha256:90205070b7ccc01e2c8375986b21413c5d22c3621fe0faa6719ce63254483018","observation_id":"e217d439-1146-434b-abff-a7c894bf9df3","resolution":{"observed_at":"2026-08-15T21:49:13.018112Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-15T21:17:27.352034Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.10258","last_updated":"2025-05-15T13:09:19Z","snapshot_observed_at":"2026-08-18T20:28:51.490845Z","submitted_at":"2025-05-15T13:09:19Z","title":"Inferring Driving Maps by Deep Learning-based Trail Map Extraction","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T21:17:27.352034Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2505.10258"},"observation_digest":"sha256:395a066e3b35f5174365fefbb966640eef91cfcc219a051bf264ac2564a50ca5","observation_id":"1afc315b-2c4e-42b7-bc6e-cac7e98097fb","resolution":{"observed_at":"2026-08-15T21:17:27.352034Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-15T20:41:59.154671Z","title":"Argoverse 2: Next generation datasets for self-driving perception and forecasting,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.12246","last_updated":"2025-05-18T05:57:31Z","snapshot_observed_at":"2026-08-16T00:22:17.767296Z","submitted_at":"2025-05-18T05:57:31Z","title":"SEPT: Standard-Definition Map Enhanced Scene Perception and Topology Reasoning for Autonomous Driving","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T20:41:59.154671Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2505.12246"},"observation_digest":"sha256:151a09c297088cfff578322a82d1020254041fd52eed3e3788f786b32fc63ff5","observation_id":"f869ad62-7e89-456c-9c5f-5a92ccef97dc","resolution":{"observed_at":"2026-08-15T20:41:59.154671Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-07T15:16:10.721562Z","title":"Argoverse 2: Next generation datasets for self-driving perception and forecasting,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.15703","last_updated":"2025-05-21T16:16:52Z","snapshot_observed_at":"2026-08-14T20:21:52.049965Z","submitted_at":"2025-05-21T16:16:52Z","title":"HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T15:16:10.721562Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2505.15703"},"observation_digest":"sha256:7627473106bf432845cc0775e528c93addc39c70fe3caa524a505a2b5fdbe277","observation_id":"eb7f8e35-be2f-4d6f-bfa7-96cf1ebedeae","resolution":{"observed_at":"2026-08-07T15:16:10.721562Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-07T15:24:07.377843Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Fore- casting,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.15863","last_updated":"2025-05-21T07:59:18Z","snapshot_observed_at":"2026-08-15T10:57:35.347166Z","submitted_at":"2025-05-21T07:59:18Z","title":"Generative AI for Autonomous Driving: A Review","version":1},"reference_index":263,"source":"pdf_text","source_observed_at":"2026-08-07T15:24:07.377843Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2505.15863"},"observation_digest":"sha256:2f220bf69d37792340d7b396d3cfa13c3167a91045d8e1c407b255462ce68514","observation_id":"f6695dbb-39f9-4229-9088-f9dcb6d3df11","resolution":{"observed_at":"2026-08-07T15:24:07.377843Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-07T14:46:52.568231Z","title":"arXiv preprint arXiv:2301.00493","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.17727","last_updated":"2025-05-23T10:45:43Z","snapshot_observed_at":"2026-08-16T05:37:40.773071Z","submitted_at":"2025-05-23T10:45:43Z","title":"SafeMVDrive: Multi-view Safety-Critical Driving Video Synthesis in the Real World Domain","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-07T14:46:52.568231Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2505.17727"},"observation_digest":"sha256:b2bd5da3a3a4c279bd5de9b5e5ce6a82b057b6119d4157ca11ad602d88129e76","observation_id":"9647b99a-5358-4ddc-9f6e-c2c4b5ff93ef","resolution":{"observed_at":"2026-08-07T14:46:52.568231Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2505.20414","last_updated":"2026-04-29T08:48:06Z","snapshot_observed_at":"2026-08-12T19:35:52.423999Z","submitted_at":"2025-05-26T18:05:59Z","title":"RetroMotion: Retrocausal Motion Forecasting Models are Instructable","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-19T12:43:30.765587Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2505.20414"},"observation_digest":"sha256:4730f9b9ced009b6d0de2f1b5afc06649cdf3c7cf3e9c5f7389f2212a442f08e","observation_id":"a1c27703-324c-4d73-9f1c-c367d05b6b2a","resolution":{"observed_at":"2026-05-19T12:47:18.012017Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-07T13:28:34.928356Z","title":"Argoverse 2: Next generation datasets for self-driving perception and forecasting","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.21743","last_updated":"2025-05-27T20:33:07Z","snapshot_observed_at":"2026-08-14T14:08:02.127708Z","submitted_at":"2025-05-27T20:33:07Z","title":"Simulating the Unseen: Crash Prediction Must Learn from What Did Not Happen","version":1},"reference_index":163,"source":"pdf_text","source_observed_at":"2026-08-07T13:28:34.928356Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2505.21743"},"observation_digest":"sha256:2fd732ef237f84dab3ca609667c2b7190f823489ca16d026e284691aaed8ff79","observation_id":"1719500c-7fbd-45c0-b3f5-52ce31405868","resolution":{"observed_at":"2026-08-07T13:28:34.928356Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-07T13:08:09.764824Z","title":"Argoverse 2: Next generation datasets for self-driving perception and forecasting","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.22616","last_updated":"2025-05-28T17:35:39Z","snapshot_observed_at":"2026-08-16T20:30:02.336575Z","submitted_at":"2025-05-28T17:35:39Z","title":"PS4PRO: Pixel-to-pixel Supervision for Photorealistic Rendering and Optimization","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:09.764824Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2505.22616"},"observation_digest":"sha256:98ac4edcaac6af2ed9fa261c1badc56936a6f655b976fe42bdc1723dd6e5dbb2","observation_id":"07cdbfb7-6e14-4b8d-ac5d-4ba8979a2610","resolution":{"observed_at":"2026-08-07T13:08:09.764824Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-07T12:43:57.720414Z","title":"Argoverse 2: Next generation datasets for self-driving perception and forecasting.arXiv preprint arXiv:2301.00493, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23757","last_updated":"2025-05-29T17:59:46Z","snapshot_observed_at":"2026-08-17T23:27:19.603501Z","submitted_at":"2025-05-29T17:59:46Z","title":"Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-07T12:43:57.720414Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2505.23757"},"observation_digest":"sha256:c192e404add76bbd7cf229faa9bcd6b0ba8b6e364f28ab56a2ef20126f30fc1f","observation_id":"ba8538fc-a862-4b1f-8967-f28846f4bbcb","resolution":{"observed_at":"2026-08-07T12:43:57.720414Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-07T11:31:51.432349Z","title":"Argoverse 2: Next generation datasets for self-driving perception and forecasting.arXiv preprint arXiv:2301.00493, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.02265","last_updated":"2025-06-02T21:15:00Z","snapshot_observed_at":"2026-08-17T15:28:06.087725Z","submitted_at":"2025-06-02T21:15:00Z","title":"Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-07T11:31:51.432349Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2506.02265"},"observation_digest":"sha256:801fc09884719b7f4ce37a47fa67d72f6a30848e589f202de9b350641632c053","observation_id":"92eb8eba-a42e-4c55-a648-2be0b895b711","resolution":{"observed_at":"2026-08-07T11:31:51.432349Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-07T06:02:58.233008Z","title":"Argoverse 2: Next generation datasets for self-driving perception and forecasting","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.06128","last_updated":"2025-06-06T14:38:55Z","snapshot_observed_at":"2026-08-19T17:43:06.793662Z","submitted_at":"2025-06-06T14:38:55Z","title":"CCLSTM: Coupled Convolutional Long-Short Term Memory Network for Occupancy Flow Forecasting","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T06:02:58.233008Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2506.06128"},"observation_digest":"sha256:9a511083e06ae415f15132126513a0841eb8076e6ffa8adb5f4dfd84d8242612","observation_id":"894d4df8-fe23-4dec-941b-d99e4976bbdf","resolution":{"observed_at":"2026-08-07T06:02:58.233008Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-07T05:45:19.871138Z","title":"arXiv preprint arXiv:2301.00493","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.07150","last_updated":"2025-06-08T13:54:46Z","snapshot_observed_at":"2026-08-17T03:50:56.663303Z","submitted_at":"2025-06-08T13:54:46Z","title":"Improving Traffic Signal Data Quality for the Waymo Open Motion Dataset","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T05:45:19.871138Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2506.07150"},"observation_digest":"sha256:b526db591f11af1f62bd56eb61c7f6967f2395c326778cf103cb0ef789ae026f","observation_id":"86db0a91-35b5-4856-b044-c33b04f9f04c","resolution":{"observed_at":"2026-08-07T05:45:19.871138Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-07T04:36:04.186872Z","title":"Argoverse 2: Next Generation Datasets for Self- Driving Perception and Forecasting, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.10317","last_updated":"2025-06-20T00:26:10Z","snapshot_observed_at":"2026-08-21T02:26:56.141990Z","submitted_at":"2025-06-12T03:02:01Z","title":"Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T04:36:04.186872Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2506.10317"},"observation_digest":"sha256:36dba5394b428419a8cb2d63e8a95c6e663ef9778068d07235b6d1c561f45ce1","observation_id":"28a0473d-bdc0-4717-bebb-0aa1794f1ec3","resolution":{"observed_at":"2026-08-07T04:36:04.186872Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-15T20:02:25.855042Z","title":"Argoverse 2: Next generation datasets for self-driving perception and forecasting.arXiv preprint arXiv:2301.00493,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.13553","last_updated":"2026-07-24T16:28:15Z","snapshot_observed_at":"2026-08-18T20:30:12.569648Z","submitted_at":"2025-06-16T14:40:28Z","title":"Geometry-Guided Representations for Coherent Lane and Traffic Topology Reasoning in Driving Scenes","version":4},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T20:02:25.855042Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2506.13553"},"observation_digest":"sha256:0c453dff3c65a7a74164e494a046a64c5c7a00a55ddfb4707fbcef9a00e2070a","observation_id":"330f0660-413a-4434-a7c1-bd793082d5a5","resolution":{"observed_at":"2026-08-15T20:02:25.855042Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-06T21:31:04.790320Z","title":"Argoverse 2: Next generation datasets for self-driving perception and forecasting","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.24044","last_updated":"2025-06-30T16:50:02Z","snapshot_observed_at":"2026-08-19T22:31:35.698906Z","submitted_at":"2025-06-30T16:50:02Z","title":"A Survey on Vision-Language-Action Models for Autonomous Driving","version":1},"reference_index":133,"source":"pdf_text","source_observed_at":"2026-08-06T21:31:04.790320Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2506.24044"},"observation_digest":"sha256:1001edae4cf471592d2f41fd7d70a579a271f8ae6f08314cf83e666027bfa8ec","observation_id":"be39ce5a-669e-43c3-8cf0-cb4d2ad3025c","resolution":{"observed_at":"2026-08-06T21:31:04.790320Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-06T21:17:19.464931Z","title":"Ar- goverse 2: Next generation datasets for self- driving perception and forecasting","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00525","last_updated":"2025-07-01T07:40:16Z","snapshot_observed_at":"2026-08-14T17:20:27.293774Z","submitted_at":"2025-07-01T07:40:16Z","title":"Box-QAymo: Box-Referring VQA Dataset for Autonomous Driving","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T21:17:19.464931Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2507.00525"},"observation_digest":"sha256:b8b757f9ac07f27c94f8c9deec2e961e8842a23fb87d229f5b8af26800ad5ed9","observation_id":"e8ddf973-2678-41c1-b716-1cd3a79967fa","resolution":{"observed_at":"2026-08-06T21:17:19.464931Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-06T19:56:40.647284Z","title":"Argoverse 2: Next generation datasets for self-driving perception and forecasting.arXiv preprint arXiv:2301.00493, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.04263","last_updated":"2025-07-06T06:45:14Z","snapshot_observed_at":"2026-08-15T22:10:58.158718Z","submitted_at":"2025-07-06T06:45:14Z","title":"SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T19:56:40.647284Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2507.04263"},"observation_digest":"sha256:06bb5343ceacfcbbbc790c3d1dfc1b5c4601e913db73c0463e59eedcacd6eafe","observation_id":"204e1053-afdd-44d3-bc8e-fc04163f8879","resolution":{"observed_at":"2026-08-06T19:56:40.647284Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-06T19:37:07.371652Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.05098","last_updated":"2025-07-07T15:18:51Z","snapshot_observed_at":"2026-08-19T10:21:44.518277Z","submitted_at":"2025-07-07T15:18:51Z","title":"Beyond Features: How Dataset Design Influences Multi-Agent Trajectory Prediction Performance","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T19:37:07.371652Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2507.05098"},"observation_digest":"sha256:e3db8c2f144d8cea2d741cd48aeccfe3462a25aa6a67590a5a636ed6e2a8534b","observation_id":"8194a07b-6105-4ea5-8017-6c3b6a35636e","resolution":{"observed_at":"2026-08-06T19:37:07.371652Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-06T18:32:54.855897Z","title":"Argoverse 2: Next generation datasets for self-driving perception and forecasting.arXiv preprint arXiv:2301.00493,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.07997","last_updated":"2025-07-14T09:33:58Z","snapshot_observed_at":"2026-08-19T12:45:13.605918Z","submitted_at":"2025-07-10T17:59:54Z","title":"MGVQ: Could VQ-VAE Beat VAE? A Generalizable Tokenizer with Multi-group Quantization","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:54.855897Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2507.07997"},"observation_digest":"sha256:60d8248d97a83cd4369209d14601c36ebff889846688c4153534982f183e13a9","observation_id":"7c3cf0e3-1857-480f-bcf5-a3b6e53a1634","resolution":{"observed_at":"2026-08-06T18:32:54.855897Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-06T18:17:14.557945Z","title":"Argoverse 2: Next generation datasets for self-driving perception and forecasting,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.08644","last_updated":"2025-07-11T14:48:59Z","snapshot_observed_at":"2026-08-19T08:48:19.769236Z","submitted_at":"2025-07-11T14:48:59Z","title":"OnlineBEV: Recurrent Temporal Fusion in Bird's Eye View Representations for Multi-Camera 3D Perception","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T18:17:14.557945Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2507.08644"},"observation_digest":"sha256:207433840ca3e23d25c978626576cf111554ee1daa1a356f2f389478d961d614","observation_id":"5d2a152b-b0bc-4435-a03e-0305f46bc5d3","resolution":{"observed_at":"2026-08-06T18:17:14.557945Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-06T17:34:03.531648Z","title":"Argoverse 2: Next generation datasets for self-driving perception and forecasting,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.10749","last_updated":"2025-07-14T19:16:13Z","snapshot_observed_at":"2026-08-14T19:43:21.269641Z","submitted_at":"2025-07-14T19:16:13Z","title":"RCG: Safety-Critical Scenario Generation for Robust Autonomous Driving via Real-World Crash Grounding","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T17:34:03.531648Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2507.10749"},"observation_digest":"sha256:d7ecf45f432e01ea2fbdd5d1917875d36c7385244bb73b79ae6561d47f52bf20","observation_id":"23e30394-4db7-4c78-98e6-50f9d4c4e84e","resolution":{"observed_at":"2026-08-06T17:34:03.531648Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-06T16:59:59.676544Z","title":"Argoverse 2: Next generation datasets for self-driving perception and forecasting","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.12083","last_updated":"2025-07-16T09:46:17Z","snapshot_observed_at":"2026-08-13T19:46:30.841894Z","submitted_at":"2025-07-16T09:46:17Z","title":"Foresight in Motion: Reinforcing Trajectory Prediction with Reward Heuristics","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:59.676544Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2507.12083"},"observation_digest":"sha256:6b57d9a2cd4e7eceeedc1db637ea053d7ea455749deb58e03af29cf6069fc10e","observation_id":"e1ee3617-7982-435f-b162-ca2e11fee85f","resolution":{"observed_at":"2026-08-06T16:59:59.676544Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-06T16:41:15.850805Z","title":"Argoverse 2: Next generation datasets for self-driving perception and forecasting,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.15874","last_updated":"2025-07-17T08:33:56Z","snapshot_observed_at":"2026-08-17T05:57:33.510893Z","submitted_at":"2025-07-17T08:33:56Z","title":"Why Braking? Scenario Extraction and Reasoning Utilizing LLM","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T16:41:15.850805Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2507.15874"},"observation_digest":"sha256:a0778cc6eb4c936f0241cfa97a5b474ae68d0ff5083fa34cbd917f2d6bb35f9d","observation_id":"6512ddd9-f0e8-489c-a309-d3f2a7628c4d","resolution":{"observed_at":"2026-08-06T16:41:15.850805Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-06T14:45:11.213960Z","title":"Argoverse 2: Next generation datasets for self-driving perception and forecasting,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.18196","last_updated":"2025-07-24T08:54:17Z","snapshot_observed_at":"2026-08-19T12:37:20.886332Z","submitted_at":"2025-07-24T08:54:17Z","title":"Goal-based Trajectory Prediction for improved Cross-Dataset Generalization","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T14:45:11.213960Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2507.18196"},"observation_digest":"sha256:32514de61e57fff4fd14226c620f6d88211f8e3faeef6956c1dbc7bae62908de","observation_id":"d40dfa34-711c-4f7a-81c7-f859becd5b95","resolution":{"observed_at":"2026-08-06T14:45:11.213960Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T22:06:55.691815Z","title":"arXiv preprint arXiv:2301.00493 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.07560","last_updated":"2025-08-11T02:40:46Z","snapshot_observed_at":"2026-08-20T15:15:25.638779Z","submitted_at":"2025-08-11T02:40:46Z","title":"Progressive Bird's Eye View Perception for Safety-Critical Autonomous Driving: A Comprehensive Survey","version":1},"reference_index":252,"source":"pdf_text","source_observed_at":"2026-08-05T22:06:55.691815Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2508.07560"},"observation_digest":"sha256:69dbb6139ed3ea62fd4a9a344003b434d789d293f2614ff4e6f4c0bdf079b5db","observation_id":"38272f45-57f4-4921-b2b7-ef78dc1a02bc","resolution":{"observed_at":"2026-08-05T22:06:55.691815Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T15:24:16.365196Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.19882","last_updated":"2025-08-27T13:40:14Z","snapshot_observed_at":"2026-08-18T15:13:28.025276Z","submitted_at":"2025-08-27T13:40:14Z","title":"Generative AI for Testing of Autonomous Driving Systems: A Survey","version":1},"reference_index":234,"source":"pdf_text","source_observed_at":"2026-08-05T15:24:16.365196Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2508.19882"},"observation_digest":"sha256:6e882fef68d9645f141530c004383e35483503ff400b9be886429913b3a1e88d","observation_id":"f7d86385-61c8-47a2-9294-e9bfb64efb43","resolution":{"observed_at":"2026-08-05T15:24:16.365196Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T14:07:05.892878Z","title":"Argoverse 2: Next generation datasets for self-driving perception and forecasting","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.21689","last_updated":"2025-08-29T14:55:33Z","snapshot_observed_at":"2026-08-21T19:56:49.031751Z","submitted_at":"2025-08-29T14:55:33Z","title":"Mapping like a Skeptic: Probabilistic BEV Projection for Online HD Mapping","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T14:07:05.892878Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2508.21689"},"observation_digest":"sha256:e54e6368e6849497d5d47f7d76449e939a7d1cee3ecbfef40a03c5a271341139","observation_id":"eca932a1-7863-4ffc-b198-a8e908650562","resolution":{"observed_at":"2026-08-05T14:07:05.892878Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T13:58:11.430459Z","title":"Argoverse 2: Next generation datasets for self-driving perception and forecasting","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.21824","last_updated":"2025-08-29T17:59:53Z","snapshot_observed_at":"2026-08-15T12:19:57.703130Z","submitted_at":"2025-08-29T17:59:53Z","title":"DriveQA: Passing the Driving Knowledge Test","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-05T13:58:11.430459Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2508.21824"},"observation_digest":"sha256:829b038752d0bbb66db70c92942f429f442d63e7487aa45e0a1b4d17c57f3b13","observation_id":"7d1dad3e-d04d-4902-94bf-f5f43fc9a396","resolution":{"observed_at":"2026-08-05T13:58:11.430459Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-04T19:34:04.361016Z","title":", author Qi, W","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.09210","last_updated":"2025-09-11T07:36:54Z","snapshot_observed_at":"2026-08-19T22:22:02.858305Z","submitted_at":"2025-09-11T07:36:54Z","title":"ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-04T19:34:04.361016Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2509.09210"},"observation_digest":"sha256:033875238f5e8c2555677448117bd596e61096064b40efc73bc40535583b4e71","observation_id":"dda88e28-78df-4c61-9aef-0fba0757d2a1","resolution":{"observed_at":"2026-08-04T19:34:04.361016Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-03T20:05:05.545532Z","title":"Argoverse 2: Next generation datasets for self-driving perception and forecasting.arXiv preprint arXiv:2301.00493, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2511.21256","last_updated":"2026-06-27T08:44:30Z","snapshot_observed_at":"2026-08-15T23:23:59.636700Z","submitted_at":"2025-11-26T10:39:16Z","title":"LaGen: Towards Autoregressive LiDAR Scene Generation","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-03T20:05:05.545532Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2511.21256"},"observation_digest":"sha256:0d7f3df22c42de5dff415bd51d884a8668563cd99db6485278b054e60beee1a8","observation_id":"5d25f9ad-1189-41a3-a381-bee385e72d4b","resolution":{"observed_at":"2026-08-03T20:05:05.545532Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2512.03210","last_updated":"2026-05-04T05:09:42Z","snapshot_observed_at":"2026-08-14T07:58:05.453863Z","submitted_at":"2025-12-02T20:28:45Z","title":"Flux4D: Flow-based Unsupervised 4D Reconstruction","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-05-17T01:59:16.251640Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2512.03210"},"observation_digest":"sha256:d2445bb7cd403d5db69135bb9eefbaed557b93fb10150d75202b6d7e63684da3","observation_id":"45d6b086-d380-4acd-8fa4-8b9c9ccadcb3","resolution":{"observed_at":"2026-05-17T02:01:25.687863Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-03T10:19:43.761018Z","title":"Argoverse 2: Next Gen- eration Datasets for Self-Driving Perception and Forecasting","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.10554","last_updated":"2026-07-24T07:21:13Z","snapshot_observed_at":"2026-08-08T11:59:09.755088Z","submitted_at":"2026-01-15T16:18:42Z","title":"DeepUrban: Interaction-Aware Trajectory Prediction and Planning for Automated Driving by Aerial Imagery","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-03T10:19:43.761018Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2601.10554"},"observation_digest":"sha256:6c795476106cfd885c618d5d9ccc61b90240ac94634061018190a3d52e42f15e","observation_id":"444d6375-3d1b-425b-b199-89a16dc97d1c","resolution":{"observed_at":"2026-08-03T10:19:43.761018Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-03T06:50:27.921118Z","title":"Argoverse 2: Next genera- tion datasets for self-driving perception and forecasting.arXiv preprint arXiv:2301.00493, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.22054","last_updated":"2026-07-03T08:31:57Z","snapshot_observed_at":"2026-08-18T10:18:09.762758Z","submitted_at":"2026-01-29T17:52:41Z","title":"MetricAnything: Scaling Metric Depth Pretraining with Noisy Heterogeneous Sources","version":2},"reference_index":117,"source":"pdf_text","source_observed_at":"2026-08-03T06:50:27.921118Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2601.22054"},"observation_digest":"sha256:9b9aed43a6f8d22134ef5fe90676499d7b3b32b5d589f995c10561d9a16b0348","observation_id":"e010b23a-7f4b-4ed9-8067-ca0d33ed041e","resolution":{"observed_at":"2026-08-03T06:50:27.921118Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-02T22:45:33.809998Z","title":"Argoverse 2: Next genera- tion datasets for self-driving perception and forecasting,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.16073","last_updated":"2026-06-04T22:44:39Z","snapshot_observed_at":"2026-08-19T11:12:16.494839Z","submitted_at":"2026-02-17T22:57:43Z","title":"ScenicRules: An Autonomous Driving Benchmark with Multi-Objective Specifications and Abstract Scenarios","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-02T22:45:33.809998Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2602.16073"},"observation_digest":"sha256:dea711de0623aa071a8b10b014c6049f05a40829d8f13bf29e1f3d392ce191ef","observation_id":"eec0e7d4-b548-4bfb-bd2a-09d3cf830cec","resolution":{"observed_at":"2026-08-02T22:45:33.809998Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2602.19035","last_updated":"2026-04-25T01:52:58Z","snapshot_observed_at":"2026-08-16T05:47:07.055721Z","submitted_at":"2026-02-22T04:18:29Z","title":"OpenVO: Open-World Visual Odometry with Temporal Dynamics Awareness","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-05-15T20:52:28.543570Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2602.19035"},"observation_digest":"sha256:cc4025b34bab6f3b436e8a6a8e562d25d45cbdb620457f8af1fa5a5d9e431de0","observation_id":"7aef8ccc-f8f3-42b9-a020-3b34dff0e49f","resolution":{"observed_at":"2026-05-15T20:56:37.264798Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-02T21:19:50.378791Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.20575","last_updated":"2026-07-18T07:58:59Z","snapshot_observed_at":"2026-08-13T14:17:15.961474Z","submitted_at":"2026-02-24T05:57:18Z","title":"An interactive enhanced driving dataset for autonomous driving","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-02T21:19:50.378791Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2602.20575"},"observation_digest":"sha256:e9ba4a1a1e9d2bb0ed8c9396161a996627e560af93d91916398c562897e61fd5","observation_id":"f4ecfa93-a11a-4dec-8cd0-44570a4885c8","resolution":{"observed_at":"2026-08-02T21:19:50.378791Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-02T20:21:32.011233Z","title":"Argoverse 2: Next generation datasets for self-driving perception and forecasting.arXiv preprint arXiv:2301.00493, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.23499","last_updated":"2026-06-09T07:27:50Z","snapshot_observed_at":"2026-08-17T15:29:15.458731Z","submitted_at":"2026-02-26T21:16:20Z","title":"TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving","version":4},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-02T20:21:32.011233Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2602.23499"},"observation_digest":"sha256:31571ece324fca2f5b9a944d8824f01124d5d7b6cb18aad8162e83b948674c6b","observation_id":"253418ce-3479-4b09-a70a-87b75af40aa7","resolution":{"observed_at":"2026-08-02T20:21:32.011233Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2603.01558","last_updated":"2026-04-08T14:31:28Z","snapshot_observed_at":"2026-08-13T02:53:20.349558Z","submitted_at":"2026-03-02T07:33:46Z","title":"TopoMaskV3: 3D Mask Head with Dense Offset and Height Predictions for Road Topology Understanding","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-15T18:04:49.834498Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2603.01558"},"observation_digest":"sha256:43ac713fd93d066c9978935e48b42b3862e7395eee900f8cecaf299f3f474df6","observation_id":"b74bc429-3c7e-4e2a-8f06-37cc647baa7f","resolution":{"observed_at":"2026-05-15T18:06:25.306639Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2603.23607","last_updated":"2026-04-06T17:50:16Z","snapshot_observed_at":"2026-08-15T14:12:03.390801Z","submitted_at":"2026-03-24T18:00:08Z","title":"LongTail Driving Scenarios with Reasoning Traces: The KITScenes LongTail Dataset","version":2},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-05-15T00:30:56.156113Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2603.23607"},"observation_digest":"sha256:de9724e0710392356da3335d95dbb56d3b0b809f81294303b2c137f17a7806f5","observation_id":"a08bf785-1300-48b6-b0aa-a7e503511d8c","resolution":{"observed_at":"2026-05-15T00:33:23.356860Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2603.24155","last_updated":"2026-04-07T08:33:33Z","snapshot_observed_at":"2026-08-16T12:23:53.270435Z","submitted_at":"2026-03-25T10:24:16Z","title":"Goal-Oriented Reactive Simulation for Closed-Loop Trajectory Prediction","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-05-15T00:55:01.446865Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2603.24155"},"observation_digest":"sha256:ed9bb85a198fa8851faa66127747eb4b0d4e6314ceafbf998b31f08af8ce1183","observation_id":"5a75f496-3513-4cdc-a707-fb49d1ff860a","resolution":{"observed_at":"2026-05-15T00:58:26.212436Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2603.27105","last_updated":"2026-04-08T06:07:51Z","snapshot_observed_at":"2026-08-13T01:26:49.228145Z","submitted_at":"2026-03-28T03:23:08Z","title":"UniDAC: Universal Metric Depth Estimation for Any Camera","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-05-14T22:29:43.630749Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2603.27105"},"observation_digest":"sha256:4b089ce047cfff2b5b0e0b807fdd2542f26d46fcf2904832b11b9e89cafd92a4","observation_id":"2713eb2c-32ff-4a05-9eed-241e0adbc464","resolution":{"observed_at":"2026-05-14T22:33:10.603247Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-02T17:10:34.527591Z","title":"Argoverse 2: Next generation datasets for self-driving perception and forecasting,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2603.28029","last_updated":"2026-07-22T14:06:30Z","snapshot_observed_at":"2026-08-06T02:29:45.620892Z","submitted_at":"2026-03-30T04:46:03Z","title":"Effort-Based Criticality Metrics for Evaluating 3D Perception Errors in Autonomous Driving","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-02T17:10:34.527591Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2603.28029"},"observation_digest":"sha256:74e46e51f0549899c23467b0674099ff4f46b0ec99c727d7215c1d7d1b3a511a","observation_id":"8bb06a4e-4e9b-48ee-b284-b93a0563c304","resolution":{"observed_at":"2026-08-02T17:10:34.527591Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2604.01044","last_updated":"2026-04-07T14:42:53Z","snapshot_observed_at":"2026-08-16T05:27:28.761725Z","submitted_at":"2026-04-01T15:52:17Z","title":"A global dataset of continuous urban dashcam driving","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-13T22:30:38.665197Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2604.01044"},"observation_digest":"sha256:af7718f57a88262c147f01af7ac43e019396cf02e04f42e44ee0db9bf5098db6","observation_id":"dfb27905-0794-4895-bb8e-65651663a06d","resolution":{"observed_at":"2026-05-13T22:33:21.586783Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2604.02903","last_updated":"2026-04-03T09:20:48Z","snapshot_observed_at":"2026-08-15T04:45:28.323542Z","submitted_at":"2026-04-03T09:20:48Z","title":"RayMamba: Ray-Aligned Serialization for Long-Range 3D Object Detection","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-13T20:25:42.586436Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2604.02903"},"observation_digest":"sha256:a7439f4765a7bda5c4555d9bfe883a5bcf94a72b6c27feabc1e0b425d6c24830","observation_id":"d275e5e7-c671-4a08-ace9-9e3d974bdf6f","resolution":{"observed_at":"2026-05-13T20:28:14.007441Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-07-13T12:33:30.315581Z","title":"Argoverse 2: Next generation datasets for self-driving perception and forecasting","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2604.03685","last_updated":"2026-04-04T11:03:16Z","snapshot_observed_at":"2026-08-20T20:40:29.409741Z","submitted_at":"2026-04-04T11:03:16Z","title":"DSERT-RoLL: Robust Multi-Modal Perception for Diverse Driving Conditions with Stereo Event-RGB-Thermal Cameras, 4D Radar, and Dual-LiDAR","version":1},"reference_index":121,"source":"pdf_text","source_observed_at":"2026-07-13T12:33:30.315581Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2604.03685"},"observation_digest":"sha256:3d1007b7cbec80b1e74b0ca761dbd1d1a1198d9e4d260c1fd3ba5614d39588ce","observation_id":"23983d52-e232-4151-82d5-bd31d693d766","resolution":{"observed_at":"2026-07-13T12:33:30.315581Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2604.04737","last_updated":"2026-04-07T14:23:11Z","snapshot_observed_at":"2026-08-14T09:44:24.996301Z","submitted_at":"2026-04-06T15:04:11Z","title":"LEAN-3D: Low-latency Hierarchical Point Cloud Codec for Mobile 3D Streaming","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-10T19:07:07.744139Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2604.04737"},"observation_digest":"sha256:b74e37002cff13a55abdf19258940035f41b6285c4eb207310cfd4790631118e","observation_id":"f94b534e-db7d-4c41-97c4-6ef528a347a8","resolution":{"observed_at":"2026-05-12T20:16:37.618269Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2604.04887","last_updated":"2026-04-06T17:36:05Z","snapshot_observed_at":"2026-08-13T14:18:06.564952Z","submitted_at":"2026-04-06T17:36:05Z","title":"HorizonWeaver: Generalizable Multi-Level Semantic Editing for Driving Scenes","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-05-10T19:39:31.357223Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2604.04887"},"observation_digest":"sha256:28072ed671699fe4489ccea9990740a7a97440b2c6c17c0dceb4f5edeed02587","observation_id":"1325241c-1d1f-49a5-ad45-029367f4d62f","resolution":{"observed_at":"2026-05-12T20:16:37.618269Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2604.05908","last_updated":"2026-04-07T14:11:54Z","snapshot_observed_at":"2026-08-16T09:06:27.102315Z","submitted_at":"2026-04-07T14:11:54Z","title":"Appearance Decomposition Gaussian Splatting for Multi-Traversal Reconstruction","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-05-10T19:11:56.114485Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2604.05908"},"observation_digest":"sha256:dc8b85bc731bd2bd3c07220266157b3da4738f42a393e2ef57083e4a061c7012","observation_id":"72247218-f6ec-4d5a-a9d2-e826dcf8f0a9","resolution":{"observed_at":"2026-05-12T20:16:37.618269Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2604.06332","last_updated":"2026-04-07T18:13:55Z","snapshot_observed_at":"2026-08-04T02:17:12.505784Z","submitted_at":"2026-04-07T18:13:55Z","title":"Telescope: Learnable Hyperbolic Foveation for Ultra-Long-Range Object Detection","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-05-10T18:46:48.550865Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2604.06332"},"observation_digest":"sha256:05515af6fe6401e50141e739f08ac130900fdfb980f97f5d05e2f5ce8e732bb1","observation_id":"aad6d86f-b750-4196-acf2-1fb2854ba835","resolution":{"observed_at":"2026-05-12T20:16:37.618269Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2604.08509","last_updated":"2026-04-09T17:50:09Z","snapshot_observed_at":"2026-08-15T18:13:35.948710Z","submitted_at":"2026-04-09T17:50:09Z","title":"Visually-grounded Humanoid Agents","version":1},"reference_index":101,"source":"pdf_text","source_observed_at":"2026-05-10T18:10:32.710853Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2604.08509"},"observation_digest":"sha256:2a43f795882a0b1d97040226fefa27753515d9ca9c8aa6f6684131d3636ed417","observation_id":"3ab171c3-7cea-48be-8f14-1008f8a211d8","resolution":{"observed_at":"2026-05-12T20:16:37.618269Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2604.08626","last_updated":"2026-04-17T22:49:55Z","snapshot_observed_at":"2026-07-06T22:57:40.773778Z","submitted_at":"2026-04-09T16:00:10Z","title":"WildDet3D: Scaling Promptable 3D Detection in the Wild","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-05-10T17:38:13.336003Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2604.08626"},"observation_digest":"sha256:f228fe71a36649b3b842f7c6633db9d425dc1c03b347ffdb3e06bba7e9635632","observation_id":"e612862e-73db-4e81-9377-06d8a5f3b8be","resolution":{"observed_at":"2026-05-12T20:16:37.618269Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2604.11400","last_updated":"2026-04-13T12:42:18Z","snapshot_observed_at":"2026-08-19T23:32:37.852749Z","submitted_at":"2026-04-13T12:42:18Z","title":"EagleVision: A Multi-Task Benchmark for Cross-Domain Perception in High-Speed Autonomous Racing","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-10T16:06:36.665959Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2604.11400"},"observation_digest":"sha256:9585673a611148c794832bff2ff2d4f15ac958be7e33feddcc2126c32d02db46","observation_id":"f0cd0cd2-bd19-48e2-9c11-de0befaf987f","resolution":{"observed_at":"2026-05-12T20:16:37.618269Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2604.12857","last_updated":"2026-04-14T15:09:07Z","snapshot_observed_at":"2026-08-15T05:11:04.414295Z","submitted_at":"2026-04-14T15:09:07Z","title":"Artificial Intelligence for Modeling and Simulation of Mixed Automated and Human Traffic","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-10T16:00:59.662003Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2604.12857"},"observation_digest":"sha256:018b26ac430a1fc4ecb41dbbfddde1d99897e27bb186726c3753fd831b74d9c7","observation_id":"a25096e6-9bb3-46f8-af0f-592c721ad54c","resolution":{"observed_at":"2026-05-12T20:16:37.618269Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2604.16783","last_updated":"2026-04-18T02:13:02Z","snapshot_observed_at":"2026-08-13T04:18:20.626014Z","submitted_at":"2026-04-18T02:13:02Z","title":"EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-05-10T07:53:01.735375Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2604.16783"},"observation_digest":"sha256:7bc2d0d0b96ebfd1064841febc68dba566a68247e3c49462ea4fa974689f1709","observation_id":"7ade51ca-8639-45e4-afea-3beee8dfdc19","resolution":{"observed_at":"2026-05-12T20:16:37.618269Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2604.17024","last_updated":"2026-04-18T15:14:11Z","snapshot_observed_at":"2026-08-11T10:01:58.335054Z","submitted_at":"2026-04-18T15:14:11Z","title":"CAM3DNet: Comprehensively mining the multi-scale features for 3D Object Detection with Multi-View Cameras","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-10T07:16:33.640040Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2604.17024"},"observation_digest":"sha256:183a630e08a28d9cf709235a93edb043e8fab23f10c6f0781fac992276e37972","observation_id":"9cb12d38-c935-4142-8ae4-2e00cf805963","resolution":{"observed_at":"2026-05-12T20:16:37.618269Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2604.18476","last_updated":"2026-04-20T16:28:01Z","snapshot_observed_at":"2026-08-11T20:36:56.753216Z","submitted_at":"2026-04-20T16:28:01Z","title":"SemLT3D: Semantic-Guided Expert Distillation for Camera-only Long-Tailed 3D Object Detection","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-10T05:53:11.157832Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2604.18476"},"observation_digest":"sha256:9e12a8df3d5ebebfecb369541169f9de402d02c514810f14970cab53932e032d","observation_id":"fbadf7a2-362d-4b78-ab4a-6b78f0b171bc","resolution":{"observed_at":"2026-05-12T20:16:37.618269Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2604.18486","last_updated":"2026-05-08T18:23:17Z","snapshot_observed_at":"2026-08-03T04:20:45.612992Z","submitted_at":"2026-04-20T16:37:22Z","title":"Xiaomi OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation","version":2},"reference_index":106,"source":"pdf_text","source_observed_at":"2026-05-10T05:42:41.112158Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2604.18486"},"observation_digest":"sha256:af7132f64f1862d92fa80a499cb1b55398e6337dd116e57657e9582194af0078","observation_id":"a280d7c9-4cce-470b-9f87-d2cc183e1b08","resolution":{"observed_at":"2026-05-12T20:16:37.618269Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2604.18486","last_updated":"2026-05-08T18:23:17Z","snapshot_observed_at":"2026-08-03T04:20:45.612992Z","submitted_at":"2026-04-20T16:37:22Z","title":"Xiaomi OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation","version":3},"reference_index":106,"source":"pdf_text","source_observed_at":"2026-05-12T00:54:23.508845Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2604.18486"},"observation_digest":"sha256:124b792d700815904385260a6badfac85f6b67481cf5b99b84a3884c9be57154","observation_id":"ee6f52b6-f8c7-4e02-a3d3-7a6b5f6c51e8","resolution":{"observed_at":"2026-05-12T20:16:37.618269Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2604.22851","last_updated":"2026-07-07T12:47:51Z","snapshot_observed_at":"2026-08-16T16:27:57.656946Z","submitted_at":"2026-04-22T07:49:02Z","title":"EgoDyn-Bench: Evaluating Ego-Motion Understanding in Vision-Centric Foundation Models for Autonomous Driving","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-10T00:09:18.068337Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2604.22851"},"observation_digest":"sha256:7d8dafbfc94675808c8e08c86b36ba69da04cee01ee773cbe6394648a483fde9","observation_id":"394db665-dbfb-44be-8c05-78dd583b88fa","resolution":{"observed_at":"2026-05-12T20:16:37.618269Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2604.23934","last_updated":"2026-04-27T01:19:02Z","snapshot_observed_at":"2026-08-18T03:47:14.887081Z","submitted_at":"2026-04-27T01:19:02Z","title":"VLM-VPI: A Vision-Language Reasoning Framework for Improving Automated Vehicle-Pedestrian Interactions","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-08T02:18:56.169218Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2604.23934"},"observation_digest":"sha256:376396815b8369b0f704eb2d26e68b79ba0dd7d7bb453d280974e01f362aac3f","observation_id":"4e50b24b-68e3-43c1-85ea-669dc5e19a9a","resolution":{"observed_at":"2026-05-12T20:16:37.618269Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2604.24119","last_updated":"2026-06-10T02:25:23Z","snapshot_observed_at":"2026-08-14T23:32:21.723641Z","submitted_at":"2026-04-27T07:13:33Z","title":"TopoHR: Hierarchical Centerline Representation for Cyclic Topology Reasoning in Driving Scenes with Point-to-Instance Relations","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-08T04:36:06.381066Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2604.24119"},"observation_digest":"sha256:4d6a186151fb11a11d889d241d2954762d56800eb7c1786fedcfa0fcc480e203","observation_id":"a0cf1335-2c49-4d00-85dc-2e95830836b3","resolution":{"observed_at":"2026-05-12T20:16:37.618269Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2604.24119","last_updated":"2026-06-10T02:25:23Z","snapshot_observed_at":"2026-08-14T23:32:21.723641Z","submitted_at":"2026-04-27T07:13:33Z","title":"TopoHR: Hierarchical Centerline Representation for Cyclic Topology Reasoning in Driving Scenes with Point-to-Instance Relations","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-01T08:57:30.883353Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2604.24119"},"observation_digest":"sha256:364816edbf866830ed8fb3a117d67b6ee71b075808a6d461fe8c068e66863f75","observation_id":"e2cabccb-8c33-4825-bfea-6dd798c19b66","resolution":{"observed_at":"2026-07-01T09:05:36.937216Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2605.00907","last_updated":"2026-04-29T04:29:48Z","snapshot_observed_at":"2026-08-15T01:31:51.609957Z","submitted_at":"2026-04-29T04:29:48Z","title":"TRIP-Evaluate: An Open Multimodal Benchmark for Evaluating Large Models in Transportation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-09T20:13:06.376037Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2605.00907"},"observation_digest":"sha256:60a0728fde4dac1abda59711d95d0e04ec14411c554c7bf923ca7eaec9fba6f5","observation_id":"ae461315-fe91-41e3-a51b-a81a31e1bb42","resolution":{"observed_at":"2026-05-12T20:16:37.618269Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2605.01478","last_updated":"2026-05-02T14:52:25Z","snapshot_observed_at":"2026-08-11T12:45:00.402102Z","submitted_at":"2026-05-02T14:52:25Z","title":"LIE: LiDAR-only HD Map Construction with Intensity Enhancement via Online Knowledge Distillation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-09T14:48:20.658662Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2605.01478"},"observation_digest":"sha256:a6663969d4a40271547d70d7962e158a3a223a0c9863d57644384d7fbd74e985","observation_id":"616c1cf4-7044-41b2-a850-3da95692cf19","resolution":{"observed_at":"2026-05-12T20:16:37.618269Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:f6492876665a6ac3a5826c4d76dfce3402c0265051ae52e0651e69c4330b34d4","observation_id":"a1cacbed-6b3c-4b52-9e48-4dab66260645","resolution":{"observed_at":"2026-05-12T20:16:37.618269Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2605.05014","last_updated":"2026-05-07T10:59:26Z","snapshot_observed_at":"2026-08-13T09:16:32.407166Z","submitted_at":"2026-05-06T15:13:18Z","title":"CARD: A Multi-Modal Automotive Dataset for Dense 3D Reconstruction in Challenging Road Topography","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-05-08T18:12:18.801837Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2605.05014"},"observation_digest":"sha256:aa1443b2b7093e3d85465957b7ef6c9ce820f0eb1fb8fa8a7a4f753c0698fd6e","observation_id":"2457739b-7c5a-4346-823f-f16710d85898","resolution":{"observed_at":"2026-05-12T20:16:37.618269Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2605.08911","last_updated":"2026-05-09T12:12:14Z","snapshot_observed_at":"2026-08-18T20:45:57.494818Z","submitted_at":"2026-05-09T12:12:14Z","title":"Unified Modeling of Lane and Lane Topology for Driving Scene Reasoning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-12T02:02:43.011302Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2605.08911"},"observation_digest":"sha256:21ba30a9c0053b560ff9e5f53257d841f8907eb38284de6606faac3e35c9b310","observation_id":"a24b43a7-eb21-4e24-951b-3ef2bc8a2d87","resolution":{"observed_at":"2026-05-12T20:16:37.618269Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2605.09425","last_updated":"2026-05-10T08:56:08Z","snapshot_observed_at":"2026-08-13T20:28:52.524972Z","submitted_at":"2026-05-10T08:56:08Z","title":"AtteConDA: Attention-Based Conflict Suppression in Multi-Condition Diffusion Models and Synthetic Data Augmentation","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-05-12T02:38:11.071221Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2605.09425"},"observation_digest":"sha256:d53aeb2434042307114ad3133a2d0b03ca88c9f3a1982c1df19fc4912476e255","observation_id":"2e34ba4f-d02a-481d-bcc1-e560486b9502","resolution":{"observed_at":"2026-05-12T20:16:37.618269Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2605.09619","last_updated":"2026-05-10T15:57:07Z","snapshot_observed_at":"2026-08-16T18:22:11.065485Z","submitted_at":"2026-05-10T15:57:07Z","title":"GSMap: 2D Gaussians for Online HD Mapping","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-12T02:14:26.141818Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2605.09619"},"observation_digest":"sha256:a697a8b11fe8d48da3b9e6bcb6536c2ddcc9e6f592a181dadf5207d873ddc868","observation_id":"a5537c24-6061-4aa2-9d21-e1e6d3c83d2c","resolution":{"observed_at":"2026-05-12T20:16:37.618269Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2605.10026","last_updated":"2026-05-11T05:50:08Z","snapshot_observed_at":"2026-08-12T21:54:40.668388Z","submitted_at":"2026-05-11T05:50:08Z","title":"MUSDA: Multi-source Multi-modality Unsupervised Domain Adaptive 3D Object Detection for Autonomous Driving","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-12T03:35:29.153803Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2605.10026"},"observation_digest":"sha256:ffae741da698c6b3ada0423f938a8bc0bb0660bca4740e8caed30ace8f759ed9","observation_id":"efb6bc20-6206-4778-a1ab-688f8b5a94eb","resolution":{"observed_at":"2026-05-12T20:16:37.618269Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2605.15876","last_updated":"2026-05-20T09:56:58Z","snapshot_observed_at":"2026-08-16T00:44:05.083067Z","submitted_at":"2026-05-15T11:54:17Z","title":"Unlocking Dense Metric Depth Estimation in VLMs","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-05-20T19:20:04.468206Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2605.15876"},"observation_digest":"sha256:c49ce14a2d5448d5d9a7f9c0bc2ee81e4a50783633f19a236af87f48879af44c","observation_id":"b8baebbd-3228-4618-8c7c-d192b8c478cc","resolution":{"observed_at":"2026-05-20T19:23:40.944169Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2605.15876","last_updated":"2026-05-20T09:56:58Z","snapshot_observed_at":"2026-08-16T00:44:05.083067Z","submitted_at":"2026-05-15T11:54:17Z","title":"Unlocking Dense Metric Depth Estimation in VLMs","version":3},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-05-21T07:54:52.926995Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2605.15876"},"observation_digest":"sha256:585cbe55d2f52ce4876d2defcdc8067ff45436ac475097fb4d625593ef6896e8","observation_id":"3b96b6a2-c159-4ee8-b4c5-1df382a5e836","resolution":{"observed_at":"2026-05-21T07:59:51.167718Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2605.17229","last_updated":"2026-05-17T02:30:02Z","snapshot_observed_at":"2026-08-15T11:12:02.575565Z","submitted_at":"2026-05-17T02:30:02Z","title":"Generating Realistic Safety-Critical Scenarios for Vehicle-Pedestrian Interactions","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-20T13:37:33.910175Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2605.17229"},"observation_digest":"sha256:ecc38a401b3659e84762e951cefa9020b8e06cfe6b8d04df13484cd00de6cac4","observation_id":"6c16ef65-ea83-42b2-87fd-a5792c668eaa","resolution":{"observed_at":"2026-05-20T13:38:19.085558Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2605.18074","last_updated":"2026-05-18T08:55:32Z","snapshot_observed_at":"2026-08-19T07:46:19.681092Z","submitted_at":"2026-05-18T08:55:32Z","title":"4DLidarOpen: An Open 4D FMCW Lidar Dataset for Motion-Aware Autonomous Driving","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-05-20T10:06:30.679915Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2605.18074"},"observation_digest":"sha256:1acda66d254a064e4a39dc5b33b5aa3fed48bb5af87d95e280f138de684ef01e","observation_id":"d57c65b8-7029-40df-89b7-9999c5cd116c","resolution":{"observed_at":"2026-05-20T10:08:12.260794Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2605.19038","last_updated":"2026-05-18T19:00:14Z","snapshot_observed_at":"2026-08-14T02:29:37.520010Z","submitted_at":"2026-05-18T19:00:14Z","title":"Guiding Neuro-Symbolic Scenario Generation with Spatio-Temporal Logic","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-20T09:15:11.745281Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2605.19038"},"observation_digest":"sha256:05bc56fc78e7de9e0803f56308e66af6b9cff599b73293d0f55c19070178b4fc","observation_id":"d67335fe-cc8d-417c-bfa3-5f6d4747baa3","resolution":{"observed_at":"2026-05-20T09:18:10.167654Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2605.20390","last_updated":"2026-05-19T18:40:20Z","snapshot_observed_at":"2026-08-15T06:04:24.347665Z","submitted_at":"2026-05-19T18:40:20Z","title":"STELLAR: Scaling 3D Perception Large Models for Autonomous Driving","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-05-21T07:09:55.202236Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2605.20390"},"observation_digest":"sha256:f227c00a5bfebf5af5221ea6ba7c179f7506c49e0a404baba8bfdc36e4069a2e","observation_id":"bed5c9a7-24fe-48c8-8df2-5369ad3c55d8","resolution":{"observed_at":"2026-05-21T07:14:02.659235Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2605.24037","last_updated":"2026-05-21T11:37:17Z","snapshot_observed_at":"2026-08-18T18:32:44.985479Z","submitted_at":"2026-05-21T11:37:17Z","title":"Mode-as-Sequence: Translating Multimodal Motion Prediction into Unified Sequential Mode Modeling","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-30T17:17:45.979250Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2605.24037"},"observation_digest":"sha256:708f16abc4b577505c7a7f0a0c65e2e8b70522f6f39480c2ac6f5f95853a8814","observation_id":"d675c80b-9fa0-41fa-9bb7-8a54de9d110e","resolution":{"observed_at":"2026-06-30T17:24:57.749856Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2605.28552","last_updated":"2026-05-27T14:44:10Z","snapshot_observed_at":"2026-08-14T18:12:04.667774Z","submitted_at":"2026-05-27T14:44:10Z","title":"Modeling Vehicle-Type-Specific Pedestrian Crash Avoidance Behavior in Safety-Critical Interactions Using Smooth-Mamba Deep Reinforcement Learning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-29T12:14:20.294339Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2605.28552"},"observation_digest":"sha256:38196b4c56a1f4cbec4c4faa65e92dabd74062ab191369d2cf4052be051e2891","observation_id":"5fc3c743-84ca-4b53-bfb3-74e570ebaf62","resolution":{"observed_at":"2026-06-29T12:23:24.604126Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2301.00493/citation-record","integrity":"/paper/2301.00493/integrity","json":"/paper/2301.00493/citation-record.json","paper":"/paper/2301.00493"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"SemanticKITTI: A dataset for semantic scene understanding of lidar sequences","venue":null,"work_id":"27a8f474-426a-44fe-84d3-baa5116bce2d","year":2019},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:18754326c3439aaa86697bcba53514fee8b061d89f43989cfdc68fb22f721162","observation_id":"de981251-0c6d-465b-b8f3-f075eb28fcb3","resolution":{"observed_at":"2026-05-12T20:16:37.506447Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-05T21:23:00.469572Z","title":"Range conditioned dilated convolutions for scale invariant 3d object detection","venue":null,"work_id":"99a248a9-df28-4e84-9041-34ce5b65aced","year":2020},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:7b45e5fd443140d01f62f8203a920b1d848ed75b9a4a2ba1a04003f3b51e2939","observation_id":"6e28f646-c61d-40ae-aadd-08c14b839af2","resolution":{"observed_at":"2026-05-12T20:16:37.543592Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2005.14165","last_updated":"2020-07-22T19:47:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-05-28T17:29:03Z","title":"Language Models are Few-Shot Learners","version":4},"cited_work":{"arxiv_id":"2005.14165","doi":"10.1145/1926385.1926423","metadata_source":"pith","pith_arxiv_id":"2005.14165","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Language Models are Few-Shot Learners","venue":"cs.CL","work_id":"214732c0-2edd-44a0-af9e-28184a2b8279","year":2020},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"cited_paper":"/paper/2005.14165","citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:ba8b5503a722e54a23959991dd54e539bba284eae36b2ea5323aafab166f400a","observation_id":"b5426f0f-dc9b-40e9-a1a0-be7606f697db","resolution":{"observed_at":"2026-05-12T20:16:37.343325Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-07-09T08:48:33.42086+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-09T08:48:33.42086+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-05T21:23:00.469572Z","title":"Lang, Sourabh V ora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom","venue":null,"work_id":"09126d7a-6b02-4972-b45c-7ff87220ed10","year":2020},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:2641b3459b4b583647916b2f8e0e2661c63cc4516b367a34e537b81bc874b8de","observation_id":"598f3499-7dd8-408d-b654-72ff4d3323dc","resolution":{"observed_at":"2026-05-12T20:16:37.547454Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-05T21:23:00.469572Z","title":"To the point: Efficient 3d object detection in the range image with graph convolution kernels","venue":null,"work_id":"a733b164-6e16-483c-ac28-24feabff3117","year":2021},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:f046550c51606e3cdc2d1ff1d428780caf672de244f227da1bf866868ad8c7cc","observation_id":"fbf60128-13b9-4d24-a4e9-8de4ed4f57c2","resolution":{"observed_at":"2026-05-12T20:16:37.551510Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-05T21:23:00.469572Z","title":"Argoverse: 3D Tracking and Forecasting With Rich Maps","venue":null,"work_id":"e720bde7-fb71-4966-a3be-0c95e78283af","year":2019},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:0e365cadd19294a111f5b3baa4aea4ef959614b1a70dc74accd3f48f38352d66","observation_id":"e46cf61b-2652-4cc7-9843-6f793cd6eaa2","resolution":{"observed_at":"2026-05-12T20:16:37.555622Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-05T21:23:00.469572Z","title":"A simple framework for contrastive learning of visual representations","venue":null,"work_id":"6476bf37-de3b-43d8-892f-67b5b36f4784","year":2020},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:d9087c8d2253d3280e96c24c5cd3feee85939c5c965bcfa48e85e99787a8a5fd","observation_id":"8c6341fb-4a91-4388-b196-4aaf8ec430ec","resolution":{"observed_at":"2026-05-12T20:16:37.560136Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-05T21:23:00.469572Z","title":"GeoSim: Realistic video simulation via geometry-aware composition for self-driving","venue":null,"work_id":"63b2b4d6-a0f9-4147-89ed-b981eaa3d02d","year":2021},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:54ae37d876ee51bb0a83c92d148014c156a672945b5e2d947e5ca14cd0cfe971","observation_id":"a90d44bb-d5c4-488d-a73f-62833cbb9251","resolution":{"observed_at":"2026-05-12T20:16:37.570512Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-05T21:23:00.469572Z","title":"Kaist multi-spectral day/night data set for autonomous and assisted driving","venue":null,"work_id":"389c89f1-1090-4197-b6eb-8c079650b53a","year":2018},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:a2f4a405250acd9fcfa549bd2a7872a579ddd364afcdcc0e9b527b798ce22929","observation_id":"20a488ad-90af-4b89-afe1-6c90a75fd79b","resolution":{"observed_at":"2026-05-12T20:16:37.574688Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-05T21:23:00.469572Z","title":"All-day visual place recognition: Benchmark dataset and baseline","venue":null,"work_id":"26f10091-9baa-469f-a19a-c6fa4fcdcf3d","year":2015},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:6dda758841eff4f496e6c2cf89709b6b787746a7dfd2e1927ea6b7b2cb4b952d","observation_id":"d5564d12-a4f3-4181-bbdd-38f3523f78ae","resolution":{"observed_at":"2026-05-12T20:16:37.578534Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2211.02545","last_updated":"2022-11-08T21:31:55Z","snapshot_observed_at":"2026-08-16T21:52:12.184765Z","submitted_at":"2022-11-04T16:10:50Z","title":"GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting","version":2},"cited_work":{"arxiv_id":"2211.02545","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2211.02545","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2211.02545 (2022)","venue":null,"work_id":"7bf37f42-db60-4aac-8e31-aa8247e1f070","year":2022},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"cited_paper":"/paper/2211.02545","citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:903b8ba091a6c0f3493855c09c6ad59e38ac6773ab0146456b0c142c93742eef","observation_id":"4ff8d156-4489-43db-8592-adf2595901ac","resolution":{"observed_at":"2026-05-12T20:16:37.403204Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2104.10133","last_updated":"2021-04-20T17:19:05Z","snapshot_observed_at":"2026-08-16T18:30:10.841484Z","submitted_at":"2021-04-20T17:19:05Z","title":"Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset","version":1},"cited_work":{"arxiv_id":"2104.10133","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2104.10133","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Large scale interactive motion forecast- ing for autonomous driving: The waymo open motion dataset","venue":null,"work_id":"0ec54fae-0b4a-42d6-bf27-506961373ffb","year":2021},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"cited_paper":"/paper/2104.10133","citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:8b80605b0aaca1165067e990a38ef7641e8263ba10ba607e11eb2b2798d948b1","observation_id":"a0f85c1b-f098-4f73-8878-a882e984f73f","resolution":{"observed_at":"2026-05-12T20:16:37.335164Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-05T21:23:00.469572Z","title":"Technical report for cvpr 2022 workshop on autonomous driving argoverse 3d object detection competition","venue":null,"work_id":"887a7d04-9a62-4ded-bad8-a312f0ea9017","year":2022},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:cbc770580b3f71cb77fae322fa5cac366b11b8873165c9c2abef6172c248778d","observation_id":"5e031b5c-bf5a-446e-81b4-09968e663dad","resolution":{"observed_at":"2026-05-12T20:16:37.583026Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2006.07864","last_updated":"2020-06-14T10:56:27Z","snapshot_observed_at":"2026-08-18T20:06:14.932560Z","submitted_at":"2020-06-14T10:56:27Z","title":"Cityscapes 3D: Dataset and Benchmark for 9 DoF Vehicle Detection","version":1},"cited_work":{"arxiv_id":"2006.07864","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2006.07864","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Cityscapes 3d: Dataset and benchmark for 9 dof vehicle detection","venue":null,"work_id":"d5ce050c-1553-48b5-83cb-b62a5174fe9d","year":2006},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"cited_paper":"/paper/2006.07864","citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:dd2d5843576f5b0b03c8d344820f898229fb1846701ce55045727750338f9e9a","observation_id":"0baf6043-f15b-4001-908e-97c11a7a1578","resolution":{"observed_at":"2026-05-12T20:16:37.390457Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-05T21:23:00.469572Z","title":"VectorNet: Encoding hd maps and agent dynamics from vectorized representation","venue":null,"work_id":"0ff686f2-6bc9-48cd-bf5e-2ce215c55913","year":2020},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:418157c90546755d407382b39c8bd96e20d5b734ae542fb7f348ccfd8afe3a0d","observation_id":"d920185a-c241-4408-8342-232007e5e323","resolution":{"observed_at":"2026-05-12T20:16:37.587244Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-05T21:23:00.469572Z","title":"Afdet: Anchor free one stage 3d object detection","venue":null,"work_id":"89411269-f67e-4636-8eef-a1be44664f50","year":2020},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:cb1b0408abeb35d3c84be73767210839245cc039b3eb3141b8991a4244071ef4","observation_id":"039632ed-93e6-411e-b6b2-1f9844798684","resolution":{"observed_at":"2026-05-12T20:16:37.592184Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-05T21:23:00.469572Z","title":"Are we ready for autonomous driving? The KITTI vision benchmark suite","venue":null,"work_id":"1cbbfb73-5954-4e07-8272-883f34425345","year":2012},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:b0ce472797c5ed45f76517b3f8699884b736529230601bc82f0d46e7ce1edfbe","observation_id":"da2446df-2fe8-41d8-838b-2cb1a967cc3f","resolution":{"observed_at":"2026-05-12T20:16:37.596145Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2004.06320","last_updated":"2026-07-27T21:25:47Z","snapshot_observed_at":"2026-08-17T17:30:50.394667Z","submitted_at":"2020-04-14T06:45:07Z","title":"A2D2: Audi Autonomous Driving Dataset","version":2},"cited_work":{"arxiv_id":"2004.06320","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2004.06320","snapshot_observed_at":"2026-07-29T00:24:28.889631Z","title":"A2d2: Audi autonomous driving dataset","venue":null,"work_id":"04e30d93-9515-4041-b23c-93584481b687","year":2004},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"cited_paper":"/paper/2004.06320","citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:558b14a155478abec86a5dbd528f52639120ebc9789bb738be62e79eba4b59a7","observation_id":"429d6a32-b6f0-4152-bf76-1d2f3c59e134","resolution":{"observed_at":"2026-07-29T00:24:28.889631Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2105.10968","last_updated":"2021-06-02T11:26:47Z","snapshot_observed_at":"2026-08-16T18:22:50.421919Z","submitted_at":"2021-05-23T16:27:04Z","title":"HOME: Heatmap Output for future Motion Estimation","version":2},"cited_work":{"arxiv_id":"2105.10968","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2105.10968","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Home: Heatmap output for future motion estimation","venue":null,"work_id":"b0320dc9-d77d-4aa2-a1b7-25a247740485","year":2021},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"cited_paper":"/paper/2105.10968","citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:25f28c905cd20e0a4b57fe085b6c05aa3d76f97b5564df7fd049c434a614f22b","observation_id":"4016b694-ce1c-4880-9846-1201e82f839b","resolution":{"observed_at":"2026-05-12T20:16:37.379403Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-05T21:23:00.469572Z","title":"Thomas: Trajectory heatmap output with learned multi-agent sampling","venue":null,"work_id":"b8d55de3-ff7e-4584-8ebe-3f7a8f21f8b3","year":2022},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:511146f404f12429f008bdcba12602c1570f5ebf57731988fa76bbc888c1b342","observation_id":"dd1be62f-94d1-4100-b5a5-70585da887c7","resolution":{"observed_at":"2026-05-12T20:16:37.600129Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-05T21:23:00.469572Z","title":"Streaming object detection for 3-d point clouds","venue":null,"work_id":"6dace4f0-3e76-45ce-8a26-d0df6a97cc56","year":2020},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:305349e164d5a3426e71eca6897b4be6813102c9b7a8c6201bb25eb7a3e5da1e","observation_id":"7180a9f5-83b3-4a3c-993e-f0eb6243de9d","resolution":{"observed_at":"2026-05-12T20:16:37.603948Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2006.14480","last_updated":"2020-11-16T21:16:49Z","snapshot_observed_at":"2026-08-15T13:21:19.381636Z","submitted_at":"2020-06-25T15:23:41Z","title":"One Thousand and One Hours: Self-driving Motion Prediction Dataset","version":2},"cited_work":{"arxiv_id":"2006.14480","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2006.14480","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"One thousand and one hours: Self-driving motion prediction dataset","venue":null,"work_id":"d447ebc2-88a6-41bb-ac0d-42c04f309715","year":2006},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"cited_paper":"/paper/2006.14480","citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:90962f2dd10aba95c68c774c18e846eed09756b919ad47109d0a0e4b58495050","observation_id":"afaaa2d6-4136-46db-8c3a-708b8b7aa362","resolution":{"observed_at":"2026-05-12T20:16:37.429851Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-05T21:23:00.469572Z","title":"Safe local motion planning with self-supervised freespace forecasting","venue":null,"work_id":"a9966754-dfe1-463d-beb2-f26cda411c43","year":2021},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:dee574ed4c672c32f77eddd68d8673b5ff9965a79fea0698b3811d386618f8b2","observation_id":"f91d5f09-119d-44d0-9fea-d2bc1e988276","resolution":{"observed_at":"2026-05-12T20:16:37.607534Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-05T21:23:00.469572Z","title":"Kesten, M","venue":null,"work_id":"d5419ff9-8f85-45be-a1c4-0dbb55a80928","year":2019},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:feaabe38fc0b2d0264914860d7066c00e0944b57a946f33d5762117eac6a9c76","observation_id":"0eb7059b-8b58-4ad9-861a-d14d9a71a7f7","resolution":{"observed_at":"2026-05-12T20:16:37.611987Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2008.10587","last_updated":"2020-08-24T17:49:30Z","snapshot_observed_at":"2026-08-13T13:23:47.073768Z","submitted_at":"2020-08-24T17:49:30Z","title":"What-If Motion Prediction for Autonomous Driving","version":1},"cited_work":{"arxiv_id":"2008.10587","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2008.10587","snapshot_observed_at":"2026-07-04T20:10:07.316378Z","title":"What-if motion prediction for autonomous driving","venue":null,"work_id":"226b08a4-f698-4ca4-bfc7-3a1516cdc8be","year":2020},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"cited_paper":"/paper/2008.10587","citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:1643cf8f93bd58c5b735c06ca2d96fb99c83c28cad6380d68d584ec038a39c33","observation_id":"9f0270a0-b6b2-44c4-a1c9-94bc72a7149a","resolution":{"observed_at":"2026-05-12T20:16:37.364746Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-05T21:23:00.469572Z","title":"Lambert and James Hays","venue":null,"work_id":"3205c012-a830-4c7e-b5dd-a86b059499e3","year":2021},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:30d9ac4ca4ba6ff8a950a04dc410ce5bab7b46eb6e2a498e2bf190faa60e6efe","observation_id":"44dffca3-231e-466b-a276-0ccee876478f","resolution":{"observed_at":"2026-05-12T20:16:37.616629Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-05T21:23:00.469572Z","title":"Lang, Sourabh V ora, Holger Caesar, Lubing Zhou, Jiong Yang, and Oscar Beijbom","venue":null,"work_id":"672150e7-a4cb-4eac-8e41-80cfa0c424bf","year":2019},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:53850044f347ad9f11c8cea4aa75ab96671ff893059736524057af0869bbd8aa","observation_id":"7f2bf725-3953-4e38-8cfc-ae08cf61fa3f","resolution":{"observed_at":"2026-05-12T20:16:37.455628Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.12250","last_updated":"2019-11-27T16:14:15Z","snapshot_observed_at":"2026-08-14T00:08:39.122835Z","submitted_at":"2019-11-27T16:14:15Z","title":"Social Attention for Autonomous Decision-Making in Dense Traffic","version":1},"cited_work":{"arxiv_id":"1911.12250","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1911.12250","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Social attention for autonomous decision- making in dense traffic","venue":null,"work_id":"f46787cf-1a88-433c-874e-5935341b6510","year":1911},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"cited_paper":"/paper/1911.12250","citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:49316e663957557b3ad5ccf59a9eb068ea465929f373d68a05423a489cd3b2c5","observation_id":"acf95415-f028-4693-ac1b-b04c5ec773a3","resolution":{"observed_at":"2026-05-12T20:16:37.384917Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-05T21:23:00.469572Z","title":"Towards streaming perception","venue":null,"work_id":"7dea4e49-33eb-4438-9134-5b0526f1bf37","year":2020},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:e27e5b1316d6d744037fa8a14db1fbce3c66a61826bef934d070803b736e58ff","observation_id":"aef0cd5e-7dda-49f0-8e3d-bfae78dcb8af","resolution":{"observed_at":"2026-05-12T20:16:37.459655Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2107.06307","last_updated":"2022-03-18T08:15:56Z","snapshot_observed_at":"2026-08-21T16:45:54.472320Z","submitted_at":"2021-07-13T18:06:46Z","title":"HDMapNet: An Online HD Map Construction and Evaluation Framework","version":4},"cited_work":{"arxiv_id":"2107.06307","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2107.06307","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"CoRRabs/2107.06307(2021) 2107.06307","venue":null,"work_id":"47c2d0fd-8148-4044-9043-ffa429de1b85","year":2021},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"cited_paper":"/paper/2107.06307","citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:8ce57c0104c3abd5c285da11c5ecdd9d589df49d4201cb27b65adbba333b0039","observation_id":"4e7453a0-0297-4381-b11e-c73c2f635980","resolution":{"observed_at":"2026-05-12T20:16:37.397369Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-05T21:23:00.469572Z","title":"Learning lane graph representations for motion forecasting","venue":null,"work_id":"b3b406fa-9f5e-4741-8d90-84f020bd9bcc","year":2020},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:31801cf88886d185ccfcb44177a9b1d80f832dc8c916594bd02b16c8cf5e80d6","observation_id":"ec0a2be3-6768-4182-afab-f6d07e911964","resolution":{"observed_at":"2026-05-12T20:16:37.463775Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2205.13542","last_updated":"2024-09-01T03:33:26Z","snapshot_observed_at":"2026-08-16T16:57:23.820884Z","submitted_at":"2022-05-26T17:59:35Z","title":"BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation","version":3},"cited_work":{"arxiv_id":"2205.13542","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2205.13542","snapshot_observed_at":"2026-07-03T21:08:58.812391Z","title":"Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation","venue":null,"work_id":"c01b4bfc-52e6-448b-b7e7-c5712c659a93","year":2022},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"cited_paper":"/paper/2205.13542","citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:a7c7ff9c218423422692b7d0b721dbe3824c11e061abee9f0e1a5467cd754e3d","observation_id":"c4bbf30b-bfb5-45d2-958f-ff43ac50f9fb","resolution":{"observed_at":"2026-05-12T20:16:37.410139Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1811.02146","last_updated":"2019-04-09T07:08:02Z","snapshot_observed_at":"2026-08-20T19:56:59.383360Z","submitted_at":"2018-11-06T03:34:20Z","title":"TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents","version":5},"cited_work":{"arxiv_id":"1811.02146","doi":null,"metadata_source":"pith","pith_arxiv_id":"1811.02146","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents","venue":"cs.CV","work_id":"bbe2dfdf-a2f1-4a09-9357-7fca98d5422b","year":2018},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"cited_paper":"/paper/1811.02146","citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:dfb7e9737149b7394f846ff0ce85a1636a5250899b83cb5a72fb49e15f50af0d","observation_id":"e6db62d8-9358-47fe-85b8-79c1417bbc96","resolution":{"observed_at":"2026-05-12T20:16:37.416220Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2107.07455","last_updated":"2022-02-11T08:23:22Z","snapshot_observed_at":"2026-08-16T18:09:45.554493Z","submitted_at":"2021-07-15T16:59:34Z","title":"Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks","version":3},"cited_work":{"arxiv_id":"2107.07455","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2107.07455","snapshot_observed_at":"2026-06-30T07:04:21.395279Z","title":"Shifts: A dataset of real distributional shift across multiple large-scale tasks","venue":null,"work_id":"f87af15e-c222-4694-b737-e180183376a0","year":2021},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"cited_paper":"/paper/2107.07455","citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:0b456208bf82ea196dc3b38d796a2bef1fa423f22872c0193b0469b92db6a65a","observation_id":"ac7a27bf-134a-4224-adf3-6009613efd1a","resolution":{"observed_at":"2026-05-12T20:16:37.422566Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-05T21:23:00.469572Z","title":"LiDARsim: Realistic lidar simula- tion by leveraging the real world","venue":null,"work_id":"a027090d-c689-4643-9601-46adbc525018","year":2020},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:37e35676550f92d95765908c62b0d867153dd7a7809164f4724036c39c2f6a87","observation_id":"51dbf931-517d-4d75-8b18-f21e174f36ae","resolution":{"observed_at":"2026-05-12T20:16:37.467474Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.11037","last_updated":"2021-10-25T08:08:25Z","snapshot_observed_at":"2026-08-21T18:39:16.234088Z","submitted_at":"2021-06-21T12:28:08Z","title":"One Million Scenes for Autonomous Driving: ONCE Dataset","version":3},"cited_work":{"arxiv_id":"2106.11037","doi":"10.48550/arxiv.2106.11037","metadata_source":"arxiv_reference","pith_arxiv_id":"2106.11037","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"One million scenes for autonomous driving: Once dataset","venue":"arXiv (Cornell University)","work_id":"641ea7fa-1766-4747-9593-41a95c89e65d","year":2021},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"cited_paper":"/paper/2106.11037","citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:40171661d13be169e83a538a98fea574cb28acc9fb25ca36b1aed9f94d9f2e53","observation_id":"e958b09c-5704-4a36-9f25-3b7c249c2ab7","resolution":{"observed_at":"2026-05-12T20:16:37.444803Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-05T21:23:00.469572Z","title":"Multi-head attention for multi-modal joint vehicle motion forecasting","venue":null,"work_id":"5aaf07a7-4735-411a-997b-1ee43a8172bb","year":2020},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:1bbce8db502a422a2e870b27635da7d4bf02ce1ea459bd8cca0e358c42703254","observation_id":"d3390811-2a74-4824-a70a-986dd5b51db4","resolution":{"observed_at":"2026-05-12T20:16:37.472185Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-05T21:23:00.469572Z","title":"Multi-head attention for multi-modal joint vehicle motion forecasting","venue":null,"work_id":"2c393807-3605-4efc-a0ec-d6899fe4b00c","year":2019},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:d1ed9be2e2e8ab301ce3531980096c40bf6cde942f78f036e65b76a2c9d64b7e","observation_id":"61aa08f0-4620-4f15-965e-75c27bb6f02b","resolution":{"observed_at":"2026-05-12T20:16:37.476341Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1903.01568","last_updated":"2019-03-04T22:17:46Z","snapshot_observed_at":"2026-08-19T10:18:55.460023Z","submitted_at":"2019-03-04T22:17:46Z","title":"The H3D Dataset for Full-Surround 3D Multi-Object Detection and Tracking in Crowded Urban Scenes","version":1},"cited_work":{"arxiv_id":"1903.01568","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1903.01568","snapshot_observed_at":"2026-07-04T23:26:56.483010Z","title":"The H3D dataset for full-surround 3d multi-object detection and tracking in crowded urban scenes","venue":null,"work_id":"24a73007-672d-43e4-a32a-a57e911d250a","year":1903},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"cited_paper":"/paper/1903.01568","citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:ada8926b0e865004aed478e33381b328f551c9375c7fbfdcb4e99665d8ffb28f","observation_id":"5ef75a70-182d-452d-b939-1b3c9e81cd1f","resolution":{"observed_at":"2026-07-04T23:26:56.483010Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1909.07541","last_updated":"2019-09-17T01:19:04Z","snapshot_observed_at":"2026-08-15T20:54:14.801894Z","submitted_at":"2019-09-17T01:19:04Z","title":"A*3D Dataset: Towards Autonomous Driving in Challenging Environments","version":1},"cited_work":{"arxiv_id":"1909.07541","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1909.07541","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A*3D Dataset: Towards autonomous driving in challenging environments","venue":null,"work_id":"cb296994-9b67-4454-9a82-019483b7558e","year":1909},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"cited_paper":"/paper/1909.07541","citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:7ae975b7c3293e6ea9e2f149807e3ae51a4fedd73a7c28db873ad27e37386888","observation_id":"4321aec6-94cd-4cd5-b6cc-bb5ceba46c3f","resolution":{"observed_at":"2026-05-12T20:16:37.358522Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-05T21:23:00.469572Z","title":"Canadian adverse driving conditions dataset","venue":null,"work_id":"c556024e-5c43-481a-b161-e437dc2a92dd","year":2020},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:ff4ccf8a0314e7809349c5c9a129f09e4ff7de9d870ec3a15493503035fe8157","observation_id":"b42e93e3-02a7-472d-9243-d24dcc24b6bd","resolution":{"observed_at":"2026-05-12T20:16:37.480179Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-05T21:23:00.469572Z","title":"Qi, Yin Zhou, Mahyar Najibi, Pei Sun, Khoa V o, Boyang Deng, and Dragomir Anguelov","venue":null,"work_id":"94b4db85-9ae9-45cd-9a10-aee92649b2b9","year":2021},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:80f6a08fc94b61df17f4be50486f33c95554a00edc961458b633b2b045767ef7","observation_id":"59372917-b12e-4aaa-82b4-1a63c5da25cf","resolution":{"observed_at":"2026-05-12T20:16:37.483877Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-05T21:23:00.469572Z","title":"Argoverse motion forecast- ing competition","venue":null,"work_id":"03c51cda-035c-4806-9b2f-6f1382282196","year":2021},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:37c799b79e7e2fa245284868e65ed543d0c6c82bb3cc581800b78ed894d36c44","observation_id":"6f31de1d-c203-42d6-b37b-d3272f830d6e","resolution":{"observed_at":"2026-05-12T20:16:37.487269Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-05T21:23:00.469572Z","title":"Qml for argoverse 2 motion forecasting challenge","venue":null,"work_id":"bdfada78-c7dd-4fa0-9c64-700dcbca8c4e","year":2022},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:2d64258a1160c170154ce7faffd6a025aaaa0e791e0842c3f5c8e87dffdcc315","observation_id":"327a289f-1afc-4332-9ec5-f798838da288","resolution":{"observed_at":"2026-05-12T20:16:37.491389Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-05T21:23:00.469572Z","title":"Scalability in Perception for Autonomous Driving: Waymo Open Dataset","venue":null,"work_id":"f89846ef-9964-424a-83a1-0811e87621a4","year":2020},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:ee3a06eae5947ebc8b5b55c603624e6402989d948a6fc46ed5c5dcce77928523","observation_id":"cf7af0dd-1e23-450c-bf48-e29a4b19e073","resolution":{"observed_at":"2026-05-12T20:16:37.495846Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-05T21:23:00.469572Z","title":"Rsn: Range sparse net for efficient, accurate lidar 3d object detection","venue":null,"work_id":"d02e2768-8f47-42f9-b5c6-32ed62b491ba","year":2021},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:15f879843e324ed407fba43e0cd0e0693485ead52f24eb9c3d741620321e5692","observation_id":"f312b9b6-89a6-46ae-ace6-9afd9a51f9d9","resolution":{"observed_at":"2026-05-12T20:16:37.499591Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-05T21:23:00.469572Z","title":"Ganet: Goal area network for motion forecasting","venue":null,"work_id":"f7ba4f69-8247-428e-8be9-dcbc5401e276","year":2022},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:51385cdbe280d55b4171435c37258f88a04a0e23ecdeed64d277f675aeb854c0","observation_id":"0318e2d1-e2ae-4c77-9517-238462c875ce","resolution":{"observed_at":"2026-05-12T20:16:37.503062Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-05T21:23:00.469572Z","title":"4d forecast- ing: Sequential forecasting of 100,000 points","venue":null,"work_id":"315b99f1-3a40-4c34-b4a1-a290de0ac69a","year":2020},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:3ce02d2693ec6f6ec71a42e093bb4888e5cddd65c89c184bfd97900d9ac5af97","observation_id":"fd27f749-3cbb-4d2c-92a4-98b345eec7e8","resolution":{"observed_at":"2026-05-12T20:16:37.539180Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-05T21:23:00.469572Z","title":"Inverting the forecasting pipeline with spf2: Sequential pointcloud forecasting for sequential pose forecasting","venue":null,"work_id":"0c2706b5-4e21-43d4-980d-8ab82881481f","year":2020},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:8af92feeb7ccbafa366c35c460b0485c443779e1cc9140a0700d0dd8ee10643a","observation_id":"a93e6de9-6e6e-4863-9a28-c3929db0c21b","resolution":{"observed_at":"2026-05-12T20:16:37.510596Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-05T21:23:00.469572Z","title":"Surfelgan: Synthesizing realistic sensor data for autonomous driving","venue":null,"work_id":"a6c5dd7c-da37-4ae0-9e86-886d8cf1cfd6","year":2020},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:6c312a753896b6b9a0659174331d0880ee5c0cb71bfc6b3410ad10eaeb2f95d0","observation_id":"6ff9ee15-6edd-41c6-a72f-f39b7d90aefc","resolution":{"observed_at":"2026-05-12T20:16:37.524018Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-05T21:23:00.469572Z","title":"Center-based 3d object detection and tracking","venue":null,"work_id":"5c1ece81-c138-45b0-8bb1-958c3b321ccc","year":2021},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:6f36498af1b8f2864088abb970491291611a27ca3bb2c4a25b47575f65f118b8","observation_id":"68736242-254e-41d0-8a9d-32591f6665a8","resolution":{"observed_at":"2026-05-12T20:16:37.529943Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1910.03088","last_updated":"2019-09-30T17:26:51Z","snapshot_observed_at":"2026-08-20T16:30:08.444750Z","submitted_at":"2019-09-30T17:26:51Z","title":"INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps","version":1},"cited_work":{"arxiv_id":"1910.03088","doi":null,"metadata_source":"pith","pith_arxiv_id":"1910.03088","snapshot_observed_at":"2026-07-10T16:57:24.462554Z","title":"INTERACTION dataset: An international, adversarial and cooperative motion dataset in interactive driving scenarios with semantic maps","venue":"cs.RO","work_id":"f7e7c4e5-f906-437d-a4ca-a9aa1ee95a7d","year":2019},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"cited_paper":"/paper/1910.03088","citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:a17e89fe31e1294a3a4a1bffd2c3db6416b55bc8a03f2e2ff93488fa33bb47a0","observation_id":"605d3670-685d-43fd-aa31-af5aa6d251e1","resolution":{"observed_at":"2026-05-12T20:16:37.438424Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-06-05T21:23:00.469572Z","title":"Banet: Motion forecasting with boundary aware network","venue":null,"work_id":"77c6f223-fe68-46d9-8111-bff44f4432fc","year":2022},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:260f34e988913d72d2940666bf264a96fa8b498ae256366e1ef5ee4708c7602e","observation_id":"bfa06cc6-65ca-40c8-88c2-ef5b0d4f28de","resolution":{"observed_at":"2026-05-12T20:16:37.534789Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2105.00195","last_updated":"2021-05-01T08:38:18Z","snapshot_observed_at":"2026-08-16T18:27:42.961187Z","submitted_at":"2021-05-01T08:38:18Z","title":"Lane Graph Estimation for Scene Understanding in Urban Driving","version":1},"cited_work":{"arxiv_id":"2105.00195","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2105.00195","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Miss Rate","venue":null,"work_id":"14280c90-3401-4f14-a71a-ea59318f457c","year":2021},"citing_paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-05-12T20:16:37.290099Z"},"links":{"cited_paper":"/paper/2105.00195","citing_paper":"/paper/2301.00493"},"observation_digest":"sha256:754e0941293f19d9f657a22f5dbb2fe4bd7c29f993bff33da82a05c7e984d2da","observation_id":"7d4ead43-fa41-4201-a5b3-14440994d44c","resolution":{"observed_at":"2026-05-12T20:16:37.449976Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2301.00493","last_updated":"2023-01-02T00:36:22Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T21:55:36.747659Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting"},"reference_resolution":{"displayed":54,"state_counts":{"malformed_identifier":0,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":0,"verified_exact":16,"verified_fuzzy":36},"total_outbound_references":54},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 100 inbound Pith citation observations for arXiv:2301.00493."}