{"as_of":"2026-08-06T07:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6f5f5b2a83e83deec72e2a631ca2bf981fe3106f644e234a048489fccaf3b1bb","coverage":[{"denominator":46,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":46,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-08T03:20:39.917042Z","state":"measured"},{"denominator":46,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":46,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.06516/citation-record","integrity":"/paper/2607.06516/integrity","json":"/paper/2607.06516/citation-record.json","paper":"/paper/2607.06516"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T03:24:28.875279Z","title":"Planning-oriented autonomous driving","venue":null,"work_id":"c6568d56-3684-485a-8a0d-10e2ef5d0f3c","year":2023},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:44b594987fbd8aab091227339ede2ac908cf8b4c5739b1814678367f12925672","observation_id":"d6624872-4cbe-420e-a109-095eb8a5e768","resolution":{"observed_at":"2026-07-08T03:24:28.876710Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-08T03:24:28.880381Z","title":"Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2)","venue":null,"work_id":"40a6db67-c7e7-4897-82b0-15611d4862b2","year":2024},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:bd64a253e104bfb45c89f99d32bb2af1d6ad04e2991bcccce7e722d9d280bf78","observation_id":"f52423c3-516c-4179-8805-3413a198b6f3","resolution":{"observed_at":"2026-07-08T03:24:28.882308Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.16278","last_updated":"2026-05-18T09:58:49Z","snapshot_observed_at":"2026-08-01T11:49:26.764186Z","submitted_at":"2025-05-22T06:23:04Z","title":"DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving","version":2},"cited_work":{"arxiv_id":"2505.16278","doi":"10.48550/arxiv.2505.16278","metadata_source":"pith","pith_arxiv_id":"2505.16278","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving","venue":"cs.CV","work_id":"4ac9d612-065c-475b-80c6-e307b1ae4128","year":2025},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"cited_paper":"/paper/2505.16278","citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:9697f2ccb784c0655c2721208fc0d96f18ca51e57d985223d5d9fc7d75cc7d03","observation_id":"0f508cc7-8067-422e-8d0e-e380a12c3a9a","resolution":{"observed_at":"2026-07-08T03:24:28.776923Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-05-23T05:52:59.664485+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-23T05:52:59.664485+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-08T03:24:28.886111Z","title":"Drivetransformer: Unified trans- former for scalable end-to-end autonomous driving","venue":null,"work_id":"03dce668-0c6f-416a-9442-597493344b32","year":2025},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:fdcf620255f5cf874d0bc2ed936247900bf1e69d1387aa296cff445ef2a8a514","observation_id":"bce53d50-42c1-46e1-8752-789a0b78c8cb","resolution":{"observed_at":"2026-07-08T03:24:28.887439Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-08T03:24:28.885887Z","title":"Driveadapter: Breaking the coupling barrier of perception and planning in end-to-end au- tonomous driving","venue":null,"work_id":"f5fa14dd-671b-41f0-9222-108b3bba2d93","year":2023},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:b9d93440366469b528cc28c1bb9a2a2ba742de3a6a202d0146596c2b598d2c58","observation_id":"3056020c-5e62-4acd-a17c-710d6982d311","resolution":{"observed_at":"2026-07-08T03:24:28.887214Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-08T03:24:28.880148Z","title":"nuscenes: A multimodal dataset for autonomous driving","venue":null,"work_id":"2c148a70-8b96-49e6-b0fe-0566eac37bd0","year":2020},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:950aefe91834c4dac34679080d72f3ab5516d512a6ff397ca496dd46b3a918a3","observation_id":"6f680a98-d7fa-4257-aeef-810a250d98f1","resolution":{"observed_at":"2026-07-08T03:24:28.881856Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-08T03:24:28.875543Z","title":"Carla: An open urban driving simulator","venue":null,"work_id":"53dbc568-a8cd-4082-b7b2-bf6533964fc8","year":2017},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:655f553950b811312929b24ffce6afc5c52a5e6f7094f1af72abf0c527233392","observation_id":"89fe2d0b-f578-4727-afb9-f6cbdeb6374c","resolution":{"observed_at":"2026-07-08T03:24:28.876904Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.05527","last_updated":"2024-01-25T10:51:45Z","snapshot_observed_at":"2026-07-06T16:17:00.299422Z","submitted_at":"2023-09-11T15:11:11Z","title":"ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation","version":4},"cited_work":{"arxiv_id":"2309.05527","doi":null,"metadata_source":"pith","pith_arxiv_id":"2309.05527","snapshot_observed_at":"2026-07-08T03:24:28.771676Z","title":"ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation","venue":"cs.CV","work_id":"2bea094d-afaa-4386-8ac9-6de7aac9eac9","year":2023},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"cited_paper":"/paper/2309.05527","citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:e6eb36ab82111eb630ee745f1cd84e0d1289443aaaae75c975c30992408acbe9","observation_id":"8035a16e-dcd3-4da5-af9b-5d31984a7025","resolution":{"observed_at":"2026-07-08T03:24:28.773514Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-08T03:24:28.889674Z","title":"Bench2Drive: Towards multi-ability benchmarking of closed-loop end-to-end autonomous driving","venue":null,"work_id":"9a30b4d7-a5a9-4f4a-a7da-c97b11e90201","year":2024},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:49e5886f375fe93b402ba2ca9c35931bf2c41c9b3bdf22430d058e74d4fb211e","observation_id":"9c5ea9a2-21fc-4fa3-8b46-1095df3f1bd2","resolution":{"observed_at":"2026-07-08T03:24:28.890897Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-08T03:24:28.887799Z","title":"Street gaussians: Modeling dynamic urban scenes with gaussian splatting","venue":null,"work_id":"0926c6ce-89cd-4680-a820-28e4169cf94f","year":2024},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:3edb6f9314c3816610d64cef601b8de22da6c1e28081b2f19b9102b26f13730f","observation_id":"a7b59f56-2469-4ebf-915b-b33bc59d5d04","resolution":{"observed_at":"2026-07-08T03:24:28.889010Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-08T03:24:28.888057Z","title":"Drive- dreamer: Towards real-world-drive world models for autonomous driving","venue":null,"work_id":"05cd9489-dfc7-48e5-bcdb-5b06de32ace8","year":2024},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:0973b0b27a243ed47f92f78c32525eceebcda1b7d9ba51cc47bbd14f64770df3","observation_id":"5b83f20a-60ee-4ff6-b67b-4f91952ea303","resolution":{"observed_at":"2026-07-08T03:24:28.889438Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-08T03:24:28.890032Z","title":"Generalized predictive model for autonomous driving","venue":null,"work_id":"96405813-f466-4540-a491-2c19b9cc192a","year":2024},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:e9d9ca3aa138f0492926b068c0901960630e4052a603d71841585bdb9f542b93","observation_id":"90ca74bf-f294-4dc7-a51e-8a0ed8b1c7a0","resolution":{"observed_at":"2026-07-08T03:24:28.891225Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.16760","last_updated":"2025-04-19T06:59:35Z","snapshot_observed_at":"2026-07-06T19:07:50.782209Z","submitted_at":"2024-08-29T17:56:33Z","title":"OmniRe: Omni Urban Scene Reconstruction","version":2},"cited_work":{"arxiv_id":"2408.16760","doi":null,"metadata_source":"pith","pith_arxiv_id":"2408.16760","snapshot_observed_at":"2026-07-10T20:17:33.716136Z","title":"Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images","venue":"cs.CV","work_id":"6bcc59d6-3163-4c85-98d8-817a18592ea9","year":2024},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"cited_paper":"/paper/2408.16760","citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:7b05c3381f0533ab0668acbfaf56be9ab3f6b6f8114acd145b744f4f43d7d70f","observation_id":"1bca52f1-34fc-4377-8647-2b92697391b9","resolution":{"observed_at":"2026-07-08T03:24:28.745031Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2512.03621","last_updated":"2026-08-04T08:55:42Z","snapshot_observed_at":"2026-08-06T06:20:33.004088Z","submitted_at":"2025-12-03T09:55:25Z","title":"ReCamDriving: LiDAR-Free Camera-Controlled Video Synthesis for Novel Trajectories","version":3},"cited_work":{"arxiv_id":"2512.03621","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2512.03621","snapshot_observed_at":"2026-08-05T01:34:16.609562Z","title":"Recamdriving: Lidar-free camera-controlled novel trajectory video generation.arXiv preprint arXiv:2512.03621, 2025","venue":null,"work_id":"2d3b3c15-2760-4d59-b7c0-b6db5636652e","year":2025},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"cited_paper":"/paper/2512.03621","citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:0528354b6b4ef54a627f1834611f98dbd7671655c7698863681b27e417ee5976","observation_id":"d9235f9d-0e0a-4828-83c7-6a0aa5b305b7","resolution":{"observed_at":"2026-08-05T01:34:16.609562Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.07826","last_updated":"2026-04-19T08:51:28Z","snapshot_observed_at":"2026-07-06T21:39:08.559358Z","submitted_at":"2025-06-09T14:50:19Z","title":"R3D2: Realistic 3D Asset Insertion via Diffusion for Autonomous Driving Simulation","version":2},"cited_work":{"arxiv_id":"2506.07826","doi":"10.48550/arxiv.2506.07826","metadata_source":"pith","pith_arxiv_id":"2506.07826","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"R3D2: Realistic 3D Asset Insertion via Diffusion for Autonomous Driving Simulation","venue":"cs.CV","work_id":"492c10ff-e46a-4e28-9948-77303d2579a6","year":2025},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"cited_paper":"/paper/2506.07826","citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:925ac5e24ae604a77cf1d42817b50f11625c75d0b34eeb7fa2f15610b0ab99c2","observation_id":"67930a88-12a3-4368-8763-7e4469a0926b","resolution":{"observed_at":"2026-07-08T03:24:28.741021Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.18079","last_updated":"2024-10-23T17:59:11Z","snapshot_observed_at":"2026-08-02T10:42:28.310432Z","submitted_at":"2024-10-23T17:59:11Z","title":"FreeVS: Generative View Synthesis on Free Driving Trajectory","version":1},"cited_work":{"arxiv_id":"2410.18079","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.18079","snapshot_observed_at":"2026-07-08T03:24:28.722833Z","title":"Freevs: Generative view synthesis on free driving trajectory","venue":"cs.CV","work_id":"78f7c8b5-a94c-4ceb-867e-7693f91479cb","year":2024},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"cited_paper":"/paper/2410.18079","citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:510eb5e80a9c6ac41756c7d7c084b8fa034820320fcdc23c687795d9d19919d9","observation_id":"ddad8aa8-e960-414c-8c0a-b404f76bd710","resolution":{"observed_at":"2026-07-08T03:24:28.724408Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2512.24227","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T03:24:28.729193Z","title":"arXiv preprint arXiv:2512.24227 (2025)","venue":null,"work_id":"ab959fe7-b7f1-41bb-bfed-341e579d7649","year":2025},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:c197c61bdb37b4f6fb7e3af050deec739a3377795d32840dec54a955ca564ab7","observation_id":"2a7b9d2a-b4e6-46fc-8547-ed2d3f13b2bc","resolution":{"observed_at":"2026-07-08T03:24:28.730940Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.11252","last_updated":"2024-11-18T03:00:33Z","snapshot_observed_at":"2026-07-06T19:51:41.646058Z","submitted_at":"2024-11-18T03:00:33Z","title":"DrivingSphere: Building a High-fidelity 4D World for Closed-loop Simulation","version":1},"cited_work":{"arxiv_id":"2411.11252","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.11252","snapshot_observed_at":"2026-07-08T03:24:28.752819Z","title":"DrivingSphere: Building a High-fidelity 4D World for Closed-loop Simulation","venue":"cs.RO","work_id":"22e77d18-2809-47f7-9039-5dfb9942b7f6","year":2024},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"cited_paper":"/paper/2411.11252","citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:24d9ef5b715860b0a225ea07a0c9758a34620826a620814a1e4082427a7944bf","observation_id":"6d0ec39a-0468-4bba-8111-5aef98fcee9d","resolution":{"observed_at":"2026-07-08T03:24:28.754449Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.15208","last_updated":"2025-03-19T13:49:48Z","snapshot_observed_at":"2026-08-01T23:42:29.749765Z","submitted_at":"2025-03-19T13:49:48Z","title":"DiST-4D: Disentangled Spatiotemporal Diffusion with Metric Depth for 4D Driving Scene Generation","version":1},"cited_work":{"arxiv_id":"2503.15208","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.15208","snapshot_observed_at":"2026-07-08T03:24:28.768344Z","title":"Dist-4d: Disentangled spatiotemporal diffusion with metric depth for 4d driving scene generation","venue":"cs.CV","work_id":"48e2d19a-8aee-4a66-b8d4-1bc3fc521e17","year":2025},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"cited_paper":"/paper/2503.15208","citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:dfde75ba4e642bf9714fd356ed5ba75f4f816b47fca1cff5d791ca5e856ad31a","observation_id":"85e98bbc-abd2-49e1-90ef-f2eec3a8e148","resolution":{"observed_at":"2026-07-08T03:24:28.770221Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.09647","last_updated":"2024-12-11T06:35:18Z","snapshot_observed_at":"2026-08-01T15:55:09.955890Z","submitted_at":"2024-12-11T06:35:18Z","title":"Bench2Drive-R: Turning Real World Data into Reactive Closed-Loop Autonomous Driving Benchmark by Generative Model","version":1},"cited_work":{"arxiv_id":"2412.09647","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.09647","snapshot_observed_at":"2026-07-08T03:24:28.718453Z","title":"Bench2drive-r: Turning real world data into reactive closed-loop autonomous driving benchmark by generative model","venue":"cs.RO","work_id":"f9da0743-9b92-4c8d-bdb8-b7a29d0b36af","year":2024},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"cited_paper":"/paper/2412.09647","citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:cc7a607cffe6011b45e460920ce2db7150063c2e6e16c4d16b0ee65f5f4b3db4","observation_id":"d09263c3-f043-4692-bee3-7ad36bf92fd3","resolution":{"observed_at":"2026-07-08T03:24:28.720022Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-08T03:24:28.911186Z","title":"Diffusion forcing: Next-token prediction meets full-sequence diffusion.Advances in Neural Information Processing Systems, 37:24081–24125","venue":null,"work_id":"5468fffd-cfd2-4046-8bd3-6a35d9948eb1","year":2024},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:334e894f53d93fc7ef6f9a5adfd953a088fc5e453be425b5c107e5b02ae8cfbb","observation_id":"e5869f2f-1eec-463e-8c6d-b1e17e213eab","resolution":{"observed_at":"2026-07-08T03:24:28.912691Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-08T03:24:28.898398Z","title":"Rolling diffusion models,","venue":null,"work_id":"bd8052d5-c3ea-4f94-877e-a76533c99784","year":null},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:f53b96f2fc9b2981d1963168fc2cd8d60aa9dfb491a1f5cd1f0aa7e1e4973ca7","observation_id":"03e0781a-2589-44cb-a0ef-07c2e84a4b1f","resolution":{"observed_at":"2026-07-08T03:24:28.900137Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.09470","last_updated":"2024-09-09T11:30:41Z","snapshot_observed_at":"2026-08-06T06:15:21.076010Z","submitted_at":"2024-02-12T08:16:10Z","title":"Rolling Diffusion Models","version":3},"cited_work":{"arxiv_id":"2402.09470","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.09470","snapshot_observed_at":"2026-07-08T03:24:28.750000Z","title":"Rolling diffusion models","venue":"cs.LG","work_id":"8e82d834-e93a-4904-9623-49d1ae672a0b","year":2024},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"cited_paper":"/paper/2402.09470","citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:25def64226821f18d2d87e872c28c1d25b7455e2de1f7eaccda29d5f962dc075","observation_id":"c2e79794-6b87-4dda-ad37-fe9f8ecbfa55","resolution":{"observed_at":"2026-07-08T03:24:28.751474Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-08T03:24:28.915298Z","title":"Pointpainting: Sequential fusion for 3d object detection","venue":null,"work_id":"12530c36-6d9e-4c0a-a785-6a01bb002d0d","year":2020},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:f22385798f219f0f5d84ad5ff1ba07080d0f0668e06b97a3b181048ff4003fdb","observation_id":"97c34a4b-1d63-448a-93b8-f65f19ccbca9","resolution":{"observed_at":"2026-07-08T03:24:28.916561Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.11810","last_updated":"2022-02-04T02:50:02Z","snapshot_observed_at":"2026-08-02T23:58:09.453937Z","submitted_at":"2021-06-22T14:24:55Z","title":"NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles","version":4},"cited_work":{"arxiv_id":"2106.11810","doi":"10.48550/arxiv.2106.11810","metadata_source":"pith","pith_arxiv_id":"2106.11810","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles","venue":"cs.CV","work_id":"b16aace6-deff-4546-b333-bcb7c9c07cdb","year":2021},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"cited_paper":"/paper/2106.11810","citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:b55168165adb01574bc9e57ffb97f7e73e158c6cdb923d2cfef51e19da378085","observation_id":"104575ed-912e-49c6-ba44-3fa22c4a4e60","resolution":{"observed_at":"2026-07-08T03:24:28.712938Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-08T17:35:10.861683Z","title":"Adding conditional control to text-to-image diffusion models","venue":null,"work_id":"3168d701-c64b-4fb9-808f-b1e9e35b1bf5","year":2023},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:8f6ee3c54cba00a9bcc8f0af4f8db1a7368a643a763e6dd1fbac088017b44562","observation_id":"a7a664f9-c42d-4564-aab7-1639fa7ce972","resolution":{"observed_at":"2026-07-08T03:24:28.908224Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.08280","last_updated":"2025-03-11T10:50:14Z","snapshot_observed_at":"2026-07-06T20:50:33.513259Z","submitted_at":"2025-03-11T10:50:14Z","title":"OminiControl2: Efficient Conditioning for Diffusion Transformers","version":1},"cited_work":{"arxiv_id":"2503.08280","doi":"10.48550/arxiv.2503.08280","metadata_source":"pith","pith_arxiv_id":"2503.08280","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Zhenxiong Tan, Songhua Liu, Xingyi Yang, Qiaochu Xue, and Xinchao Wang","venue":"cs.CV","work_id":"c8e4c05e-a744-4b0e-bf68-15bc9608199a","year":2025},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"cited_paper":"/paper/2503.08280","citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:0c4c32e1315ebd5e262c24eb19303675b75b1da61e0530500214d1a529b53842","observation_id":"fcf7968a-6bf3-45e8-b99b-5688f08b27b7","resolution":{"observed_at":"2026-07-08T03:24:28.729122Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.01661","last_updated":"2023-09-23T06:59:18Z","snapshot_observed_at":"2026-07-06T16:02:03.144875Z","submitted_at":"2023-08-03T09:56:31Z","title":"BEVControl: Accurately Controlling Street-view Elements with Multi-perspective Consistency via BEV Sketch Layout","version":4},"cited_work":{"arxiv_id":"2308.01661","doi":null,"metadata_source":"pith","pith_arxiv_id":"2308.01661","snapshot_observed_at":"2026-07-08T03:24:28.707344Z","title":"arXiv preprint arXiv:2308.01661 (2023)","venue":"cs.CV","work_id":"e2a03c57-1daf-4877-9597-3d389b40e29f","year":2023},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"cited_paper":"/paper/2308.01661","citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:b64d998b4958dffc06e4acdd862c229a624ddceb300aa6f53c02777131472ef5","observation_id":"41ceaadc-9157-46b7-93f3-46441459d644","resolution":{"observed_at":"2026-07-08T03:24:28.708978Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.02601","last_updated":"2024-05-03T04:50:27Z","snapshot_observed_at":"2026-07-06T16:27:31.403609Z","submitted_at":"2023-10-04T06:14:06Z","title":"MagicDrive: Street View Generation with Diverse 3D Geometry Control","version":7},"cited_work":{"arxiv_id":"2310.02601","doi":null,"metadata_source":"pith","pith_arxiv_id":"2310.02601","snapshot_observed_at":"2026-07-08T03:24:28.755891Z","title":"Magicdrive: Street view generation with diverse 3d geometry control","venue":"cs.CV","work_id":"0d62d074-2eec-4693-9b9b-3dd8367909d9","year":2023},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"cited_paper":"/paper/2310.02601","citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:2ae4eebbc5aa798e0b7ec615d2d17ca365077c5d38e4d895509f5123669e1631","observation_id":"999d9e0f-1103-439c-bf7d-045a870eba2d","resolution":{"observed_at":"2026-07-08T03:24:28.757311Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.13807","last_updated":"2025-07-25T02:30:46Z","snapshot_observed_at":"2026-08-02T12:19:53.873467Z","submitted_at":"2024-11-21T03:13:30Z","title":"MagicDrive-V2: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control","version":4},"cited_work":{"arxiv_id":"2411.13807","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.13807","snapshot_observed_at":"2026-07-08T03:24:28.746664Z","title":"MagicDrive-V2: High-resolution long video generation for autonomous driving with adaptive control.arXiv preprint arXiv:2411.13807, 2024a","venue":"cs.CV","work_id":"30a8dda9-0d8d-47c2-aa13-68a7ce5f65dd","year":2024},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"cited_paper":"/paper/2411.13807","citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:026c6e76f8f3fb78cdf661ee78924ee5de9b8e8d90e2891d29a8900b8eed58d4","observation_id":"9df848c6-6da6-412b-9248-af61866bb6dd","resolution":{"observed_at":"2026-07-08T03:24:28.748512Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-08T03:24:28.908987Z","title":"Panacea: Panoramic and controllable video generation for autonomous driving","venue":null,"work_id":"f8cf2d2e-c225-4ed5-9e17-d8af4808e08a","year":2024},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:8a951f07016b8a0a8f1049eb51b57a2d82ddf4d8eefbef4c2b51509fa336ae49","observation_id":"00c5a8e9-88fb-476e-af31-c4d6734c5b41","resolution":{"observed_at":"2026-07-08T03:24:28.910382Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-08T03:24:28.900765Z","title":"Vista: A generalizable driving world model with high fidelity and versatile controllability","venue":null,"work_id":"327267b8-2f3b-481a-9c8b-084abc10736a","year":2024},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:a4b9d231f5f859bf30f5598c208c2b4d2c60810145e931bf31b75a8835ebc0c0","observation_id":"80bb13e2-45a9-4f4f-bb34-15bf9b771bc8","resolution":{"observed_at":"2026-07-08T03:24:28.901999Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-08T03:24:28.902593Z","title":"Drivedreamer-2: Llm-enhanced world models for diverse driving video gen- eration","venue":null,"work_id":"04f08594-46e4-475f-a25d-a88f3830ef42","year":2025},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:e91cdaf1187eebb831a39da00cf4756e8482a7cbbe8d1c6981db2a36afab8879","observation_id":"37fed5c2-9b1e-4fee-a69b-16b706370c59","resolution":{"observed_at":"2026-07-08T03:24:28.904075Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.04842","last_updated":"2025-03-06T14:40:15Z","snapshot_observed_at":"2026-07-06T20:02:39.525801Z","submitted_at":"2024-12-06T08:27:53Z","title":"UniMLVG: Unified Framework for Multi-view Long Video Generation with Comprehensive Control Capabilities for Autonomous Driving","version":3},"cited_work":{"arxiv_id":"2412.04842","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.04842","snapshot_observed_at":"2026-07-08T03:24:28.737164Z","title":"Unimlvg: Unified framework for multi-view long video generation with comprehensive control capabilities for autonomous driving","venue":"cs.CV","work_id":"a9c14806-0fa5-4b7c-8f71-9be772d4f974","year":2024},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"cited_paper":"/paper/2412.04842","citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:8392b0cf69026aa604243e1c0c77157915b30cfad13cd3964c0a31028e09f430","observation_id":"4f53ab98-4e01-497a-9ce8-829b6f96a5b6","resolution":{"observed_at":"2026-07-08T03:24:28.738593Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-08T03:24:28.904782Z","title":"Epona: Autoregressive diffusion world model for autonomous driving, 2025","venue":null,"work_id":"66986e21-a457-4999-8116-a0b2bd4096f7","year":2025},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:c2f88b21850bd526ab5cbfe94f6d5b375371f62218f371a2464c46d852cd9dcd","observation_id":"9affd982-ddf7-4afd-a583-2f7f70ec2f1f","resolution":{"observed_at":"2026-07-08T03:24:28.906099Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2510.18313","last_updated":"2026-06-29T02:20:45Z","snapshot_observed_at":"2026-08-04T08:57:04.106391Z","submitted_at":"2025-10-21T05:49:01Z","title":"OmniNWM: Omniscient Driving Navigation World Models","version":6},"cited_work":{"arxiv_id":"2510.18313","doi":null,"metadata_source":"pith","pith_arxiv_id":"2510.18313","snapshot_observed_at":"2026-07-08T03:24:28.733832Z","title":"Omninwm: Omniscient driving navigation world models","venue":"cs.CV","work_id":"48c27159-47ff-410a-b026-b217c324aa98","year":2025},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"cited_paper":"/paper/2510.18313","citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:09019b11a719ecbd7c10bf0832f8e46708d8f97c78d7c94ef453d82276d35787","observation_id":"5dba6ae1-1185-4bf8-ac26-fcd5e5e491a9","resolution":{"observed_at":"2026-07-08T03:24:28.735903Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.02077","last_updated":"2023-11-03T17:59:55Z","snapshot_observed_at":"2026-08-03T23:31:39.294900Z","submitted_at":"2023-11-03T17:59:55Z","title":"EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision","version":1},"cited_work":{"arxiv_id":"2311.02077","doi":null,"metadata_source":"pith","pith_arxiv_id":"2311.02077","snapshot_observed_at":"2026-07-08T03:24:28.762183Z","title":"Emernerf: Emergent spatial-temporal scene decomposition via self-supervision","venue":"cs.CV","work_id":"a7c91f0a-e32a-47fd-ab9b-aec98b92c370","year":2023},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"cited_paper":"/paper/2311.02077","citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:0787605b9541c5e420a1a6f1cc4c99fdd5cbba8ad55c9d8e45f1a1535a2e0f6b","observation_id":"10d56f55-9383-4979-a53f-22eb9fa5a0ff","resolution":{"observed_at":"2026-07-08T03:24:28.763705Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.00415","last_updated":"2024-08-01T09:32:01Z","snapshot_observed_at":"2026-08-04T00:13:16.751984Z","submitted_at":"2024-08-01T09:32:01Z","title":"DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving","version":1},"cited_work":{"arxiv_id":"2408.00415","doi":null,"metadata_source":"pith","pith_arxiv_id":"2408.00415","snapshot_observed_at":"2026-07-08T03:24:28.765069Z","title":"Drivearena: A closed-loop generative simulation platform for autonomous driving","venue":"cs.RO","work_id":"0b9ad515-025c-4988-9c22-13f7520fc1b0","year":2024},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"cited_paper":"/paper/2408.00415","citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:18b5be98ef7593e3fa86645a15cb426b5667e5b81f5d0c9c4551f791827fa785","observation_id":"ffe740f3-59ae-4a8e-bc15-a9598fae9ada","resolution":{"observed_at":"2026-07-08T03:24:28.766784Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-08T03:24:28.913422Z","title":"The waymo world model: A new frontier for au- tonomous driving simulation","venue":null,"work_id":"3aaa0ba5-bc9b-443b-a9a1-4a7d0814e5c3","year":2026},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:8c557f4f720c5e851148d09985e2be7bf25960522ca203001535ea9a6bce004a","observation_id":"90554268-bd1f-43ea-90b5-4032f29738b7","resolution":{"observed_at":"2026-07-08T03:24:28.914665Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-08T03:24:28.893322Z","title":"Gaia-3.https://wayve.ai/thinking/gaia-3/, 2026","venue":null,"work_id":"39805ff2-aef1-4c09-8985-b4fa2009f7e2","year":2026},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:c7da624c66aa6f1e5357217ff1cd3bbe4c1838aba2752e5d87b24d882be0597a","observation_id":"27a72664-5901-4fda-b5ff-514887f6b7f3","resolution":{"observed_at":"2026-07-08T03:24:28.894659Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.06764","last_updated":"2025-07-24T03:58:47Z","snapshot_observed_at":"2026-07-06T20:34:11.407726Z","submitted_at":"2025-02-10T18:44:25Z","title":"History-Guided Video Diffusion","version":2},"cited_work":{"arxiv_id":"2502.06764","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.06764","snapshot_observed_at":"2026-07-08T03:24:28.724863Z","title":"History-Guided Video Diffusion","venue":"cs.LG","work_id":"7822dfb2-a168-4080-8673-2dfafbe1a2ab","year":2025},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"cited_paper":"/paper/2502.06764","citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:020987b41714923296c3623f5fb6328598db6e506921095cdae27c1f53728acf","observation_id":"e3eeeea9-b6c0-4be9-94a5-715c8f83d8ef","resolution":{"observed_at":"2026-07-08T03:24:28.726363Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.07605","last_updated":"2024-08-14T15:10:13Z","snapshot_observed_at":"2026-08-03T22:26:45.925305Z","submitted_at":"2024-08-14T15:10:13Z","title":"Panacea+: Panoramic and Controllable Video Generation for Autonomous Driving","version":1},"cited_work":{"arxiv_id":"2408.07605","doi":null,"metadata_source":"pith","pith_arxiv_id":"2408.07605","snapshot_observed_at":"2026-07-08T03:24:28.758629Z","title":"Panacea+: Panoramic and Controllable Video Generation for Autonomous Driving","venue":"cs.CV","work_id":"d9ead61a-d81b-4f84-919a-6c3140144776","year":2024},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"cited_paper":"/paper/2408.07605","citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:bfabb4eb59921d392bbe2c205892cd3d76a1ff139a3bde48d8b9c3a61c70f088","observation_id":"00a90c84-813c-44c5-8bc6-8f55d3cd5119","resolution":{"observed_at":"2026-07-08T03:24:28.760519Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-10T08:06:58.015648Z","title":"Masked-attention mask transformer for universal image segmentation","venue":null,"work_id":"7a704e79-2e4d-4dca-967d-ce1929c66f01","year":2022},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:0f5efedb79b51c8babd4522843ce636a8398225fa4c18f5afcb44d7497e9a88d","observation_id":"010f2efd-7222-4c2e-b5a9-1ea44726ae7c","resolution":{"observed_at":"2026-07-08T03:24:28.892762Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-11T02:27:52.409989Z","title":"High- resolution image synthesis with latent diffusion models","venue":null,"work_id":"5427867b-47ba-4d43-a415-2912684a2d41","year":2022},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:f336b4c428a18f6b95c4bd8db301959934e24a8513094ddf3a2b74f8c446944b","observation_id":"348d7afd-1b02-454a-ab22-9bc32a4706ab","resolution":{"observed_at":"2026-07-08T03:24:28.897460Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.04003","last_updated":"2025-05-29T11:24:27Z","snapshot_observed_at":"2026-08-02T20:37:47.655398Z","submitted_at":"2024-09-06T03:09:58Z","title":"DreamForge: Motion-Aware Autoregressive Video Generation for Multi-View Driving Scenes","version":4},"cited_work":{"arxiv_id":"2409.04003","doi":null,"metadata_source":"pith","pith_arxiv_id":"2409.04003","snapshot_observed_at":"2026-07-08T03:24:28.704066Z","title":"Dreamforge: Motion-aware autoregressive video generation for multi-view driving scenes","venue":"cs.CV","work_id":"dadab231-0314-409e-825d-833ad27971f5","year":2024},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"cited_paper":"/paper/2409.04003","citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:86c17fb38a5d8127cbea9d760e70e4874c39d3c61d4b3e96061dd884a91ad131","observation_id":"7416025f-af4c-40bc-bdfd-be09016817d6","resolution":{"observed_at":"2026-07-08T03:24:28.705676Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-08T03:24:28.865431Z","title":"weather. A driving scene in city","venue":null,"work_id":"58be13be-57b9-49e9-9a31-e97e1c7a982a","year":2023},"citing_paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-07-08T03:20:39.917042Z"},"links":{"citing_paper":"/paper/2607.06516"},"observation_digest":"sha256:b44873c7b12eb0e9c469618e1c00a1d07a4ccf7ee47c5ca699b6e21819ded734","observation_id":"1ba01408-fc56-474e-b5ed-532c1c57c633","resolution":{"observed_at":"2026-07-08T03:24:28.866750Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2607.06516","last_updated":"2026-07-07T17:20:51Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-01T15:09:26.928773Z","submitted_at":"2026-07-07T17:20:51Z","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation"},"reference_resolution":{"displayed":46,"state_counts":{"malformed_identifier":0,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":0,"verified_exact":21,"verified_fuzzy":23},"total_outbound_references":46},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2607.06516."}