{"as_of":"2026-08-08T22:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7167f05c3a36edca80a6686cf6bef6a8b5af5c479dc0c9d7caf05186151b2105","coverage":[{"denominator":91,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":91,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:13:49.672035Z","state":"measured"},{"denominator":98,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":98,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T06:04:07.240277Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-14T21:38:00.711347Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.22421","snapshot_observed_at":"2026-08-05T06:04:07.240277Z","title":"GeoDrive: 3D geometry-informed driving world model with precise action control.arXiv preprint arXiv:2505.22421, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.07996","last_updated":"2026-07-20T17:34:32Z","snapshot_observed_at":"2026-08-07T09:38:31.708978Z","submitted_at":"2025-09-04T17:59:58Z","title":"3D and 4D World Modeling: A Survey","version":4},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T06:04:07.240277Z"},"links":{"cited_paper":"/paper/2505.22421","citing_paper":"/paper/2509.07996"},"observation_digest":"sha256:0e853b034fed6210a1752f24704c6362ae337b3ae5ef7e156fca75a391fb566b","observation_id":"aa93f4dc-9fcd-45e8-8914-ef7d6ed98b99","resolution":{"observed_at":"2026-08-05T06:04:07.240277Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.22421","snapshot_observed_at":"2026-08-04T09:12:49.765084Z","title":"GeoDrive: 3D geometry-informed driving world model with precise action control,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.16732","last_updated":"2026-06-25T19:54:02Z","snapshot_observed_at":"2026-08-07T10:54:05.573771Z","submitted_at":"2025-10-19T07:12:32Z","title":"A Comprehensive Survey on World Models for Embodied AI","version":3},"reference_index":170,"source":"pdf_text","source_observed_at":"2026-08-04T09:12:49.765084Z"},"links":{"cited_paper":"/paper/2505.22421","citing_paper":"/paper/2510.16732"},"observation_digest":"sha256:cfee9068b37ebe8b4aebadccf4895a38a5da464ec85f162a59ecd2f238234f5f","observation_id":"efba65c3-7dc0-41a8-80d6-932e93e59fb1","resolution":{"observed_at":"2026-08-04T09:12:49.765084Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.22421","snapshot_observed_at":"2026-08-03T17:02:31.592390Z","title":"GeoDrive: 3D geometry-informed driving world model with precise action control.arXiv preprint arXiv:2505.22421, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2512.10958","last_updated":"2026-06-01T17:54:44Z","snapshot_observed_at":"2026-08-03T18:19:00.778254Z","submitted_at":"2025-12-11T18:59:58Z","title":"WorldLens: Full-Spectrum Evaluations of Driving World Models in Real World","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-03T17:02:31.592390Z"},"links":{"cited_paper":"/paper/2505.22421","citing_paper":"/paper/2512.10958"},"observation_digest":"sha256:0c0fb3ec78ac51575a5a72c0c86ca45cc60fe6792e7659ea1ecd770efb9c52f1","observation_id":"f24f76d6-01cc-4a2a-b400-f2f52840b01b","resolution":{"observed_at":"2026-08-03T17:02:31.592390Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"cited_work":{"arxiv_id":"2505.22421","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.22421","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Geodrive: 3d geometry-informed driving world model with precise action control","venue":null,"work_id":"5e5844ae-0a19-48cd-bccb-e4120ea33219","year":2025},"citing_paper":{"arxiv_id":"2604.06882","last_updated":"2026-04-08T09:41:58Z","snapshot_observed_at":"2026-07-06T22:55:15.791334Z","submitted_at":"2026-04-08T09:41:58Z","title":"Telecom World Models: Unifying Digital Twins, Foundation Models, and Predictive Planning for 6G","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-10T18:28:45.511385Z"},"links":{"cited_paper":"/paper/2505.22421","citing_paper":"/paper/2604.06882"},"observation_digest":"sha256:fd5f76312cd8bcef44519c7d8c08cd2dedc217b492e6ea172a1568827546a7dc","observation_id":"2e3e13ad-17b4-4a0a-96b3-ca03533bdd9e","resolution":{"observed_at":"2026-05-11T00:30:54.605041Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"cited_work":{"arxiv_id":"2505.22421","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.22421","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Geodrive: 3d geometry-informed driving world model with precise action control","venue":null,"work_id":"5e5844ae-0a19-48cd-bccb-e4120ea33219","year":2025},"citing_paper":{"arxiv_id":"2604.17147","last_updated":"2026-04-18T21:00:26Z","snapshot_observed_at":"2026-07-06T23:04:19.063534Z","submitted_at":"2026-04-18T21:00:26Z","title":"ScenarioControl: Vision-Language Controllable Vectorized Latent Scenario Generation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-10T06:23:22.058330Z"},"links":{"cited_paper":"/paper/2505.22421","citing_paper":"/paper/2604.17147"},"observation_digest":"sha256:82bbdd4eae096fbd55dc57b875d70c975d07f739c735cb34f7eb2f51a3b2a6f6","observation_id":"728061d8-87fa-40c3-8908-065ebb958c73","resolution":{"observed_at":"2026-05-10T06:26:27.496884Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"cited_work":{"arxiv_id":"2505.22421","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.22421","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Geodrive: 3d geometry-informed driving world model with precise action control","venue":null,"work_id":"5e5844ae-0a19-48cd-bccb-e4120ea33219","year":2025},"citing_paper":{"arxiv_id":"2605.10426","last_updated":"2026-05-13T08:01:33Z","snapshot_observed_at":"2026-07-06T23:22:23.287792Z","submitted_at":"2026-05-11T12:01:13Z","title":"CoWorld-VLA: Thinking in a Multi-Expert World Model for Autonomous Driving","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-12T03:48:36.717026Z"},"links":{"cited_paper":"/paper/2505.22421","citing_paper":"/paper/2605.10426"},"observation_digest":"sha256:b39159ee16d98c9a46d92bcc72a066ab6af3333abb31ddd6620de95284134542","observation_id":"fc08ea91-6e13-4f3c-809b-941d78ad27c0","resolution":{"observed_at":"2026-05-12T06:56:28.786361Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"cited_work":{"arxiv_id":"2505.22421","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.22421","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Geodrive: 3d geometry-informed driving world model with precise action control","venue":null,"work_id":"5e5844ae-0a19-48cd-bccb-e4120ea33219","year":2025},"citing_paper":{"arxiv_id":"2605.10426","last_updated":"2026-05-13T08:01:33Z","snapshot_observed_at":"2026-07-06T23:22:23.287792Z","submitted_at":"2026-05-11T12:01:13Z","title":"CoWorld-VLA: Thinking in a Multi-Expert World Model for Autonomous Driving","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-14T21:36:52.396245Z"},"links":{"cited_paper":"/paper/2505.22421","citing_paper":"/paper/2605.10426"},"observation_digest":"sha256:edf2fdfe09fa9a404ba2950b28f6b7964be2307226f97be5ee60982a28601d4d","observation_id":"6492de90-8501-47a9-9efe-14758953505a","resolution":{"observed_at":"2026-05-14T21:38:00.713564Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.22421/citation-record","integrity":"/paper/2505.22421/integrity","json":"/paper/2505.22421/citation-record.json","paper":"/paper/2505.22421"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:40.913666Z","title":"Act-bench: Towards action controllable world models for autonomous driving, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:40.913666Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:0c882b3924b1688578eecf412458bdd790a4158d435eee77922acf15c1df93c5","observation_id":"e0bc5fa8-b5cc-4308-9135-c10b7a4c856d","resolution":{"observed_at":"2026-08-07T13:13:40.913666Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:41.258335Z","title":"Videopainter: Any-length video inpainting and editing with plug-and-play context control, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:41.258335Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:b7a315ead3ce7915ecee3e93996d240e0402488a0b6a4c8124ebbedf06328fa2","observation_id":"713b578d-4c1a-4376-9241-c8996f0f3c5b","resolution":{"observed_at":"2026-08-07T13:13:41.258335Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.15127","last_updated":"2023-11-25T22:28:38Z","snapshot_observed_at":"2026-08-07T21:47:08.589400Z","submitted_at":"2023-11-25T22:28:38Z","title":"Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.15127","snapshot_observed_at":"2026-08-07T13:13:41.554664Z","title":"Stable video diffusion: Scaling latent video diffusion models to large datasets","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:41.554664Z"},"links":{"cited_paper":"/paper/2311.15127","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:f5e528fc117d53188abc13c27f8e5f86b7672fbcd224c822f45dde634c4d37d6","observation_id":"35f54321-9100-4419-8bde-24ea86a4925d","resolution":{"observed_at":"2026-08-07T13:13:41.554664Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:41.625065Z","title":"Align Your Latents: High-Resolution Video Synthesis with Latent Diffusion Models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:41.625065Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:e936ab8e0fdf6dd9b6d7f48823e982215aa1ce8ec50bfd0833d7c6229b8265db","observation_id":"27f7c131-b773-4b1d-928a-b670bf32f005","resolution":{"observed_at":"2026-08-07T13:13:41.625065Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:41.746002Z","title":"Align your latents: High-resolution video synthesis with latent diffusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:41.746002Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:e2fdcb1c10f0338e5e89e39091de5719a3b8cee26226336656d36be25522f78d","observation_id":"25d171ce-2fc9-4669-8d13-47fd479435d0","resolution":{"observed_at":"2026-08-07T13:13:41.746002Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.11762","last_updated":"2025-04-24T13:08:08Z","snapshot_observed_at":"2026-07-06T16:49:58.524003Z","submitted_at":"2023-11-20T13:40:40Z","title":"MUVO: A Multimodal Generative World Model for Autonomous Driving with Geometric Representations","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.11762","snapshot_observed_at":"2026-08-07T13:13:41.819658Z","title":"Muvo: A multimodal generative world model for autonomous driving with geometric representations","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:41.819658Z"},"links":{"cited_paper":"/paper/2311.11762","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:4560012ee8775f56cee43d18eb209f31b072322f1918d16ecf1baf9d38232094","observation_id":"83c65f8e-c93f-485f-b4ed-3c99636351de","resolution":{"observed_at":"2026-08-07T13:13:41.819658Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:41.940218Z","title":"Lang, Sourabh V ora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yuxin Pan, Giancarlo Baldan, and Oscar Beijbom","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:41.940218Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:527f0ea1ef664e879f4355be22b930a9c750cd107bd54b11a7b8252432a07a14","observation_id":"80793543-857d-469e-b697-c2045f98a9aa","resolution":{"observed_at":"2026-08-07T13:13:41.940218Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:42.008809Z","title":"Training-free regional prompting for diffusion transformers, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:42.008809Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:b4624c62545a1978f5ce3b0ce52ebc3a3e471a67210192b3cc09c32e8714a2a8","observation_id":"950d3478-5ac3-41e3-b104-c3de6cbbc78a","resolution":{"observed_at":"2026-08-07T13:13:42.008809Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:42.098586Z","title":"Eva: An embodied world model for future video anticipation, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:42.098586Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:69db3fd4e36a6c03350da7c86c98c945baa6fec0ca95c73f1cbb4146f93b2213","observation_id":"b63fd5c3-3e46-4fe9-b13b-e1022d236dd3","resolution":{"observed_at":"2026-08-07T13:13:42.098586Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:42.190278Z","title":"Structure and content-guided video synthesis with diffusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:42.190278Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:75c2ec79170506070554e63e7dbc7b3c2f186e6f6c178c339663449e1dedc420","observation_id":"31d9f025-15dc-4cb6-a1c2-8a432b599be0","resolution":{"observed_at":"2026-08-07T13:13:42.190278Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1910.08287","last_updated":"2019-11-24T12:26:29Z","snapshot_observed_at":"2026-08-05T14:42:22.683916Z","submitted_at":"2019-10-18T07:21:37Z","title":"PointRNN: Point Recurrent Neural Network for Moving Point Cloud Processing","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.08287","snapshot_observed_at":"2026-08-07T13:13:42.294484Z","title":"Pointrnn: Point recurrent neural network for moving point cloud processing","venue":null,"work_id":null,"year":1910},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:42.294484Z"},"links":{"cited_paper":"/paper/1910.08287","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:56d4a92da6e9092eb2b2dbb382a07d49f048d49003af177b5075aeefaf170d87","observation_id":"a5ab02e5-56cf-4e31-b610-df67dab9afbc","resolution":{"observed_at":"2026-08-07T13:13:42.294484Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.09111","last_updated":"2024-07-25T23:02:27Z","snapshot_observed_at":"2026-07-06T18:14:33.618470Z","submitted_at":"2024-05-15T05:57:20Z","title":"CarDreamer: Open-Source Learning Platform for World Model based Autonomous Driving","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.09111","snapshot_observed_at":"2026-08-07T13:13:42.402880Z","title":"Cardreamer: Open-source learning platform for world model based autonomous driving","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:42.402880Z"},"links":{"cited_paper":"/paper/2405.09111","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:6a506506f2a914ae4e3c9984a1cb92a3f6502950e9054f02e8d0145c1b64cf63","observation_id":"bf0f8bb4-150a-425d-92a7-3855cdcb3a0a","resolution":{"observed_at":"2026-08-07T13:13:42.402880Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:42.524865Z","title":"Vista: A generalizable driving world model with high fidelity and versatile controllability","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:42.524865Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:cd8603074d5789ec74acc742047ff00cf37547ab7e6acfa6d90971f5bbc28bad","observation_id":"cbc9860f-7d04-45e8-a2d6-0e374d660a62","resolution":{"observed_at":"2026-08-07T13:13:42.524865Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.10171","last_updated":"2025-03-09T18:06:08Z","snapshot_observed_at":"2026-07-06T19:50:56.818819Z","submitted_at":"2024-11-15T13:17:54Z","title":"Imagine-2-Drive: Leveraging High-Fidelity World Models via Multi-Modal Diffusion Policies","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.10171","snapshot_observed_at":"2026-08-07T13:13:42.650462Z","title":"Imagine-2-drive: High-fidelity world modeling in carla for au- tonomous vehicles","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:42.650462Z"},"links":{"cited_paper":"/paper/2411.10171","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:390173724bb9f0e06d1d550b4e148dd20ec8a918dbd3e0bc3e494e2d6ac4a2b6","observation_id":"724c8229-94bd-46f5-92f6-bc7a164c2fdd","resolution":{"observed_at":"2026-08-07T13:13:42.650462Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10429","last_updated":"2024-10-14T12:24:32Z","snapshot_observed_at":"2026-08-07T21:31:53.134914Z","submitted_at":"2024-10-14T12:24:32Z","title":"DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.10429","snapshot_observed_at":"2026-08-07T13:13:42.754803Z","title":"Dome: Taming diffusion model into high-fidelity controllable occupancy world model","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:42.754803Z"},"links":{"cited_paper":"/paper/2410.10429","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:67f302de812915cf5bab71b34dd6b729c5a1388bcc975ec20dc6beeebf9d745e","observation_id":"f49e13b1-88ab-43ef-a031-117538ab56b0","resolution":{"observed_at":"2026-08-07T13:13:42.754803Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:42.790881Z","title":"AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:42.790881Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:c65121eb6829e5e7207f5e252f15adb1f114f1bfad3c4c79a20c480bf333341d","observation_id":"ca103b43-a6b9-4258-9347-870578b953e2","resolution":{"observed_at":"2026-08-07T13:13:42.790881Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:42.808416Z","title":"Vdt-auto: End-to-end autonomous driving with vlm-guided diffusion transformers, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:42.808416Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:78cd8323d0cfd120fa4e664e659c4c5b30f8cc7131bc64711a5b76d10fa424bf","observation_id":"73b13987-a2f9-4245-8b73-70e113a9e379","resolution":{"observed_at":"2026-08-07T13:13:42.808416Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.11198","last_updated":"2024-12-15T14:21:19Z","snapshot_observed_at":"2026-07-06T20:07:19.192945Z","submitted_at":"2024-12-15T14:21:19Z","title":"GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.11198","snapshot_observed_at":"2026-08-07T13:13:42.902690Z","title":"Gem: A generalizable ego-vision multimodal world model for fine-grained ego-motion, object dynamics, and scene composition control","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:42.902690Z"},"links":{"cited_paper":"/paper/2412.11198","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:6e76e6cb3b7e4105eed7b53ddfccf319c086b3c84e34889e98c09505759c214e","observation_id":"e64e1309-a665-4a08-8dff-aa00159e5cea","resolution":{"observed_at":"2026-08-07T13:13:42.902690Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.02101","last_updated":"2025-03-13T18:35:06Z","snapshot_observed_at":"2026-07-06T17:54:39.685251Z","submitted_at":"2024-04-02T16:52:41Z","title":"CameraCtrl: Enabling Camera Control for Text-to-Video Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.02101","snapshot_observed_at":"2026-08-07T13:13:42.974521Z","title":"Cameractrl: Enabling camera control for text-to-video generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:42.974521Z"},"links":{"cited_paper":"/paper/2404.02101","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:0b08b8d50ef74a406dfe46540facb408843fcfd46646b396ba3c88c29a2188b1","observation_id":"123579cb-b0cc-4503-9024-7961a450ffa9","resolution":{"observed_at":"2026-08-07T13:13:42.974521Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:55.614636Z","title":"GANs trained by a two time-scale update rule converge to a local Nash equilibrium","venue":null,"work_id":"364ea38a-7baa-4d3a-ae53-a00939a0bc2d","year":2017},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:43.136993Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:54c1f446203bf73a6b24de99906b086b5d77e8b49551cbdc865987dc13c3d15c","observation_id":"698aa467-7460-4ff7-afdb-00d87b3bcab8","resolution":{"observed_at":"2026-08-07T13:13:55.742396Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.03458","last_updated":"2022-06-22T20:22:29Z","snapshot_observed_at":"2026-07-06T12:57:51.108636Z","submitted_at":"2022-04-07T14:08:02Z","title":"Video Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.03458","snapshot_observed_at":"2026-08-07T13:13:43.141793Z","title":"Video Diffusion Models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:43.141793Z"},"links":{"cited_paper":"/paper/2204.03458","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:91036980a74bdb72cc10f84e167ea00f46352f7581af3c98073f4a1c97fc7c1a","observation_id":"e05d0943-2d38-4c3a-8f0a-d9fdf7a6db69","resolution":{"observed_at":"2026-08-07T13:13:43.141793Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.15868","last_updated":"2022-05-29T19:02:15Z","snapshot_observed_at":"2026-07-06T13:15:58.303738Z","submitted_at":"2022-05-29T19:02:15Z","title":"CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.15868","snapshot_observed_at":"2026-08-07T13:13:43.145764Z","title":"Cogvideo: Large-scale pretraining for text-to-video generation via transformers","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:43.145764Z"},"links":{"cited_paper":"/paper/2205.15868","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:c6f0f91a1e98c624ccd3e0874f761316487fe6f87e27ae8c8b3c22ed76814264","observation_id":"6a55a477-2ff6-4ebc-94a9-856b4d4b336e","resolution":{"observed_at":"2026-08-07T13:13:43.145764Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.17080","last_updated":"2023-09-29T09:20:37Z","snapshot_observed_at":"2026-07-06T16:25:21.571679Z","submitted_at":"2023-09-29T09:20:37Z","title":"GAIA-1: A Generative World Model for Autonomous Driving","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.17080","snapshot_observed_at":"2026-08-07T13:13:43.208914Z","title":"GAIA-1: A Generative World Model for Autonomous Driving","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:43.208914Z"},"links":{"cited_paper":"/paper/2309.17080","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:02e40a608749d59fff4158eec93127044ed50e7dd6c52f781c6b28df5d94f7a5","observation_id":"c9920e67-f7d3-471f-9254-ef701d1d152d","resolution":{"observed_at":"2026-08-07T13:13:43.208914Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.19505","last_updated":"2024-12-30T09:08:12Z","snapshot_observed_at":"2026-08-08T07:18:46.889539Z","submitted_at":"2024-12-27T07:44:07Z","title":"DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.19505","snapshot_observed_at":"2026-08-07T13:13:43.254703Z","title":"Drivingworld: Constructingworld model for autonomous driving via video gpt","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:43.254703Z"},"links":{"cited_paper":"/paper/2412.19505","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:96e9a843a50115a87972d78d4f84363e91999f52b6e15859b07c96ebeff0294b","observation_id":"b78d4b06-e9f4-4de9-acbc-71041aa5bb28","resolution":{"observed_at":"2026-08-07T13:13:43.254703Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.12077","last_updated":"2023-08-24T08:15:35Z","snapshot_observed_at":"2026-08-01T13:01:57.687303Z","submitted_at":"2023-03-21T17:59:22Z","title":"VAD: Vectorized Scene Representation for Efficient Autonomous Driving","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.12077","snapshot_observed_at":"2026-08-07T13:13:43.311055Z","title":"Vad: Vectorized scene representation for autonomous driving","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:43.311055Z"},"links":{"cited_paper":"/paper/2303.12077","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:e71c46964e38a6f913ddd049a2864f47c70a97d93cf0487467b3dd0561028fcc","observation_id":"21461dc1-6765-448e-9aa2-2dad0ea4e7f2","resolution":{"observed_at":"2026-08-07T13:13:43.311055Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:55.428162Z","title":"Neural lidar fields for novel view synthesis","venue":null,"work_id":"bbb330b9-d53c-451d-9e9c-cabaafa80fc4","year":2023},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:43.393571Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:e18044b1dd576a94e7cc4483066c48d5f1e9f7f7ab3d5f2675a64b321df5ee00","observation_id":"1ee56429-6772-4634-8de5-d4629d05a5d7","resolution":{"observed_at":"2026-08-07T13:13:55.487778Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:55.310891Z","title":"Neural volumetric world models for autonomous driving","venue":null,"work_id":"b607abf6-838d-4475-81e9-919cb68ab0f5","year":2025},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:43.470800Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:e3040356611ebfec339044bc29b7bcf9c708dd970c04ed337eb7392b4965d758","observation_id":"645ed056-20d7-43d1-bb5b-8f9b0005a2ad","resolution":{"observed_at":"2026-08-07T13:13:55.376686Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:55.113159Z","title":"Perceptual losses for real-time style transfer and super-resolution","venue":null,"work_id":"64c69741-93fd-4a80-be2f-26b2d2723f1c","year":2016},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:43.568051Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:d308e8bce56897876bcdca905768b1ea03ef077c02bb2a24d9d7e3ec4722d24c","observation_id":"33f35aa0-3f72-4306-8f5e-c0d6998e83c0","resolution":{"observed_at":"2026-08-07T13:13:55.220819Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:54.976467Z","title":"Differentiable raycasting for self-supervised occupancy forecasting","venue":null,"work_id":"e9ac60df-9bc8-42f6-9b84-f799752c01d3","year":2022},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:43.654736Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:a6db25ac4405af5f275509baf1483e6d2c107e47a48544ab0bcba5aa55e4b3c7","observation_id":"d6166ec5-bbb1-413e-8bb1-56b80a178b29","resolution":{"observed_at":"2026-08-07T13:13:55.046110Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:54.786631Z","title":"DriveGAN: Towards a Controllable High-Quality Neural Simulation","venue":null,"work_id":"19f91802-fdab-439d-b0c6-928f4b65ab09","year":2021},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:43.754237Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:6e58804b80b46230946193f403db8d5520a4476fecdc5433e00693c6826b7f4a","observation_id":"7ca5fdac-cba5-4d57-98cf-9cdfeef35d4a","resolution":{"observed_at":"2026-08-07T13:13:54.874858Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-07T13:13:43.859998Z","title":"Adam: A method for stochastic optimization","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:43.859998Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:003af920c42749596c5bfea0915c1e417bcb214ccd271993f2b75fe448f91e34","observation_id":"bf7b2ee3-a23d-47ba-8b61-47b265247ebd","resolution":{"observed_at":"2026-08-07T13:13:43.859998Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:43.962272Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:43.962272Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:d4e7ccfc48be288053071b7e7ea208de97fd3eacbf3896dbb5488f18454ca622","observation_id":"0325e66d-2ecf-4bb9-babb-5d6dbbd78ea6","resolution":{"observed_at":"2026-08-07T13:13:43.962272Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.07771","last_updated":"2023-10-11T18:00:08Z","snapshot_observed_at":"2026-08-01T02:20:23.247164Z","submitted_at":"2023-10-11T18:00:08Z","title":"DrivingDiffusion: Layout-Guided multi-view driving scene video generation with latent diffusion model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.07771","snapshot_observed_at":"2026-08-07T13:13:44.086451Z","title":"Drivingdiffusion: Layout-guided multi-view driving scene video generation with latent diffusion model","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:44.086451Z"},"links":{"cited_paper":"/paper/2310.07771","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:4cdd207b81577573160c4f9c24ea8b9d0a528317ef79f4f33c0364f11b5f1e00","observation_id":"c512e6c4-dd51-4d12-9df4-ecd17a2a4821","resolution":{"observed_at":"2026-08-07T13:13:44.086451Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.08481","last_updated":"2025-02-28T07:43:38Z","snapshot_observed_at":"2026-07-06T18:29:49.284504Z","submitted_at":"2024-06-12T17:59:21Z","title":"Enhancing End-to-End Autonomous Driving with Latent World Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.08481","snapshot_observed_at":"2026-08-07T13:13:44.204956Z","title":"Enhancing end-to-end autonomous driving with latent world model","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:44.204956Z"},"links":{"cited_paper":"/paper/2406.08481","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:b9f8edf142bf6148e506f21aed906057881b9dea6449bda494daba92177e8e97","observation_id":"9761e290-c0ed-4014-a712-35023f2d7e18","resolution":{"observed_at":"2026-08-07T13:13:44.204956Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:54.546647Z","title":"Gligen: Open-set grounded text-to-image generation","venue":null,"work_id":"042b87c2-fd01-45f7-86f8-d927d0e6cde7","year":2023},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:44.317644Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:5b76fe49ddcfbc6538492a1451e8bd3aab63a2c5807ce9409f476a81c00b32c5","observation_id":"c5b9be16-882f-43ac-9dd1-a77d8a804b07","resolution":{"observed_at":"2026-08-07T13:13:54.680018Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:54.376028Z","title":"Lidar-based 4d occupancy completion and forecasting","venue":null,"work_id":"a5fb9522-e51a-4aff-a91f-5f733fcaec03","year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:44.445024Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:c46c74d0c25155e1f4570716ecefb15583ec71619e86b1c46c5a3d9e3b07e417","observation_id":"f1224c39-a01f-4a44-840e-55659df5d9aa","resolution":{"observed_at":"2026-08-07T13:13:54.434040Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:54.140747Z","title":"Monet: Motion-based point cloud prediction network","venue":null,"work_id":"e0987898-e24d-440b-a235-4085c7328ef1","year":2021},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:44.496772Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:f6368d9b8f92f5ac8313aa1c15035bf3d0edd05e246ab17cb39487fdcc071882","observation_id":"8afdbfbe-dc29-43fc-a263-911ba84b9c4b","resolution":{"observed_at":"2026-08-07T13:13:54.259941Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:53.992634Z","title":"Wovogen: World volume-aware diffusion for controllable multi-camera driving scene generation","venue":null,"work_id":"0db9d1a2-cc0f-4a96-83cd-8e78d2fc64b8","year":2025},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:44.613769Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:7d6df52a8edd9579b3826c992255149d697ac270047023908cac45b93708c060","observation_id":"4d0b93e9-98ea-4070-bd0c-66e25a896e56","resolution":{"observed_at":"2026-08-07T13:13:54.032026Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01349","last_updated":"2024-06-06T17:39:50Z","snapshot_observed_at":"2026-07-06T18:24:26.225262Z","submitted_at":"2024-06-03T14:13:13Z","title":"Unleashing Generalization of End-to-End Autonomous Driving with Controllable Long Video Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.01349","snapshot_observed_at":"2026-08-07T13:13:44.691547Z","title":"Unleashing generalization of end-to-end autonomous driving with controllable long video generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:44.691547Z"},"links":{"cited_paper":"/paper/2406.01349","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:fe2af30164b890338cc01a6f194929c142f025770e510c950bace3266afb3613","observation_id":"34795f16-6f1c-4db0-864e-f1372fafaa06","resolution":{"observed_at":"2026-08-07T13:13:44.691547Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:53.817698Z","title":"Cam4docc: Benchmark for camera-only 4d occupancy forecasting in autonomous driving applications","venue":null,"work_id":"c9988b53-ebb6-4450-82ee-c40fc94f6825","year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:44.772708Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:5d05d8631d8f9e9697763ff514c877c32265a36305c82e45827b258fea36c4af","observation_id":"b4a011fa-542e-4277-b71a-a0ed8358ac5f","resolution":{"observed_at":"2026-08-07T13:13:53.912429Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.00601","last_updated":"2025-01-03T20:06:37Z","snapshot_observed_at":"2026-07-31T03:28:38.976610Z","submitted_at":"2024-12-31T18:59:57Z","title":"DreamDrive: Generative 4D Scene Modeling from Street View Images","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.00601","snapshot_observed_at":"2026-08-07T13:13:44.861132Z","title":"Dreamdrive: Generative 4d scene modeling from street view images","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:44.861132Z"},"links":{"cited_paper":"/paper/2501.00601","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:f2672951feac6978ff5d2ac6d2ffe254aab1ca8c49b3413e26b2ed33a9b10144","observation_id":"916f2587-9f76-408f-b845-245901fe6401","resolution":{"observed_at":"2026-08-07T13:13:44.861132Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:53.681730Z","title":"Latent-nerf for shape- guided generation of 3d shapes and textures","venue":null,"work_id":"4c49f8a3-3c7a-4969-9217-111d59c0845c","year":2023},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:44.982057Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:bb9b02d81a2c20f85750d52cb85d630f9969d7bf7807eb5559a5510bce17c59c","observation_id":"f240d634-7814-41fd-9511-da078b1fdfca","resolution":{"observed_at":"2026-08-07T13:13:53.744860Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:53.332377Z","title":"Driveworld: 4d pre-trained scene understanding via world models for autonomous driving","venue":null,"work_id":"8cf2103f-33c9-42f5-b2c5-9b82f1fb7fa3","year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:45.056912Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:2aecdc5bf569e385d71637d8a20ac787c8e2bee88a73aa9954b53d0245ef7f05","observation_id":"1d51c5dc-45b4-40c1-aa81-7da97d4b63e3","resolution":{"observed_at":"2026-08-07T13:13:53.560150Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:52.859322Z","title":"T2i- adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models","venue":null,"work_id":"f4571446-91b4-4771-af34-9ba09696bf54","year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:45.167554Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:8dec05771d4da910aae747dd3695032ad7f0bf4b3264d9b4c3757097fc47f3ec","observation_id":"d98778b4-3a9d-4eea-8a9a-56cf71b2a781","resolution":{"observed_at":"2026-08-07T13:13:52.995800Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:52.742987Z","title":"Multidiff: Consistent novel view synthesis from a single image","venue":null,"work_id":"3f71ec67-c3c9-475e-b2f6-7d160d62a1ab","year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:45.267763Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:234e42dd8e56d78ec91c49098d4656fadbe5fb093aea74022f298bacd4db5cce","observation_id":"c69e78cb-4eb5-4340-bf84-e2e852c9c3b0","resolution":{"observed_at":"2026-08-07T13:13:52.778628Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.19548","last_updated":"2024-11-29T08:47:46Z","snapshot_observed_at":"2026-07-06T19:58:48.586415Z","submitted_at":"2024-11-29T08:47:46Z","title":"ReconDreamer: Crafting World Models for Driving Scene Reconstruction via Online Restoration","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.19548","snapshot_observed_at":"2026-08-07T13:13:45.381794Z","title":"Recondreamer: Crafting world models for driving scene reconstruction via online restoration","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:45.381794Z"},"links":{"cited_paper":"/paper/2411.19548","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:d48f1c37c6acdaf6d98dfcb44381e2775564426bb4c58725a202d6b69db8884f","observation_id":"2eb62395-784b-435f-9e59-877063541621","resolution":{"observed_at":"2026-08-07T13:13:45.381794Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20222","last_updated":"2024-07-11T16:26:03Z","snapshot_observed_at":"2026-07-06T18:22:48.671656Z","submitted_at":"2024-05-30T16:22:22Z","title":"MOFA-Video: Controllable Image Animation via Generative Motion Field Adaptions in Frozen Image-to-Video Diffusion Model","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.20222","snapshot_observed_at":"2026-08-07T13:13:45.495742Z","title":"Mofa-video: Controllable image animation via generative motion field adaptions in frozen image-to-video diffusion model","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:45.495742Z"},"links":{"cited_paper":"/paper/2405.20222","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:6f8dc0c642ce17f163038eb0dc66ffd51c7ae877afb9df8c7e9b77c38f1aa868","observation_id":"a448bee4-170b-44ee-938c-3cd2dc30a296","resolution":{"observed_at":"2026-08-07T13:13:45.495742Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.02473","last_updated":"2024-01-04T18:59:24Z","snapshot_observed_at":"2026-08-04T02:02:26.635617Z","submitted_at":"2024-01-04T18:59:24Z","title":"VASE: Object-Centric Appearance and Shape Manipulation of Real Videos","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.02473","snapshot_observed_at":"2026-08-07T13:13:45.595809Z","title":"Vase: Object-centric appearance and shape manipulation of real videos","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:45.595809Z"},"links":{"cited_paper":"/paper/2401.02473","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:0867225e3600f6733220dcc4a7129a302d9cd4c638c28a78770e83a0b0ae5a92","observation_id":"d41bd753-5708-47cc-9484-d953bcce40f7","resolution":{"observed_at":"2026-08-07T13:13:45.595809Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.16663","last_updated":"2026-07-04T04:21:06Z","snapshot_observed_at":"2026-08-05T00:33:51.343597Z","submitted_at":"2024-09-25T06:48:25Z","title":"Mitigating Covariate Shift in Imitation Learning for Autonomous Vehicles Using Latent Space Generative World Models","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.16663","snapshot_observed_at":"2026-08-07T13:13:45.731296Z","title":"Mitigating covariate shift in imitation learning for autonomous vehicles using latent space generative world models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:45.731296Z"},"links":{"cited_paper":"/paper/2409.16663","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:626919bc887eefe7f236346a1337cff0789cd3ebda5d216ccb4a7ac8172ee7e2","observation_id":"7019197f-7021-44fe-af2f-a0c6cfa73017","resolution":{"observed_at":"2026-08-07T13:13:45.731296Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.14132","last_updated":"2024-12-02T13:00:56Z","snapshot_observed_at":"2026-08-03T21:28:43.134511Z","submitted_at":"2023-12-21T18:52:14Z","title":"DUSt3R: Geometric 3D Vision Made Easy","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.14132","snapshot_observed_at":"2026-08-07T13:13:45.787576Z","title":"Dust3r: Geometric 3d vision made easy","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:45.787576Z"},"links":{"cited_paper":"/paper/2312.14132","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:e0977bd715ed4438ae871ba2fcc8185e74aeb069eba3c9d6e54847640f431f80","observation_id":"70ba3438-6187-4fec-99af-36e206edbd3d","resolution":{"observed_at":"2026-08-07T13:13:45.787576Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:45.868175Z","title":"Gaia-2: A controllable multi-view generative world model for autonomous driving, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:45.868175Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:c4e2de6fc6d0b03046c28d0e33bc769a7769d5a23b374a4e7bca91f64af4163e","observation_id":"a015b4a9-ecd5-45b7-b629-de9303fe99b0","resolution":{"observed_at":"2026-08-07T13:13:45.868175Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:52.660499Z","title":"Denoising diffusion implicit models","venue":null,"work_id":"f23c3e38-43a3-434c-bf1c-8e066467aee7","year":2021},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:46.000008Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:f3c3c42b92728375bd6561f529a2fa91c68ff79e04b1e59fb42bab27012b114e","observation_id":"934bd532-3e88-4f9b-8f6e-772acb246729","resolution":{"observed_at":"2026-08-07T13:13:52.688388Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.05956","last_updated":"2024-10-25T19:31:37Z","snapshot_observed_at":"2026-07-06T18:12:13.931421Z","submitted_at":"2024-05-09T17:52:42Z","title":"Probing Multimodal LLMs as World Models for Driving","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.05956","snapshot_observed_at":"2026-08-07T13:13:46.105756Z","title":"Probing multimodal llms as world models for driving","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:46.105756Z"},"links":{"cited_paper":"/paper/2405.05956","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:feaa4679b6ab8c814b7ffb4ed918fa2063094626e53a5e1b16f6882420e9d12e","observation_id":"a80ce3f2-65b4-4f9d-a10d-4fc07bddd1ae","resolution":{"observed_at":"2026-08-07T13:13:46.105756Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:52.469700Z","title":"Street-view image generation from a bird’s-eye view layout","venue":null,"work_id":"3d2e5698-60ec-4071-9c5b-ead4b53a389b","year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:46.187310Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:5367d42f683de9cfdafd1f6065751560585a8cc81171822b4ced18a6b26bb3fc","observation_id":"ce982df6-ed47-4644-8fe2-16337b792e77","resolution":{"observed_at":"2026-08-07T13:13:52.548336Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:46.326118Z","title":"Drivevlm: The convergence of autonomous driving and large vision-language models, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:46.326118Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:988430573eb18c64cddc3efbc60fef3161c2bc920bb1cfa44bded893c14dc523","observation_id":"850655aa-042f-4c58-a56a-aba18239ea88","resolution":{"observed_at":"2026-08-07T13:13:46.326118Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:52.318461Z","title":"Towards accurate generative models of video: A new metric & challenges","venue":null,"work_id":"d7401453-bcd8-4c3e-a31d-4e6a5eb3956c","year":2018},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:46.485239Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:3bb6c9feabfbc62d49775744b24d16fda9d9ab984ae9e70c1f0d73579682dcb0","observation_id":"ca1b62be-8b4c-4e48-a3d9-a5cf30e92ade","resolution":{"observed_at":"2026-08-07T13:13:52.387184Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.06571","last_updated":"2023-08-12T13:53:10Z","snapshot_observed_at":"2026-08-07T17:54:54.749604Z","submitted_at":"2023-08-12T13:53:10Z","title":"ModelScope Text-to-Video Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.06571","snapshot_observed_at":"2026-08-07T13:13:46.614652Z","title":"ModelScope Text-to-Video Technical Report","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:46.614652Z"},"links":{"cited_paper":"/paper/2308.06571","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:f13c43d78952cde62aa94003eef202f05862995586051889c8f49709d01004ee","observation_id":"dd564f8f-aa53-4593-b058-180cad7b3bf4","resolution":{"observed_at":"2026-08-07T13:13:46.614652Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20337","last_updated":"2024-05-30T17:59:42Z","snapshot_observed_at":"2026-08-02T21:48:22.210406Z","submitted_at":"2024-05-30T17:59:42Z","title":"OccSora: 4D Occupancy Generation Models as World Simulators for Autonomous Driving","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.20337","snapshot_observed_at":"2026-08-07T13:13:46.690220Z","title":"Occ- sora: 4d occupancy generation models as world simulators for autonomous driving","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:46.690220Z"},"links":{"cited_paper":"/paper/2405.20337","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:60289b90e2350d2a1689cd42c5f8fccf99eff26e7a6ebe9d276a0eab0bb96e95","observation_id":"ef2eff61-da35-43ac-b709-2a85be43c777","resolution":{"observed_at":"2026-08-07T13:13:46.690220Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:52.141660Z","title":"Drivedreamer: Towards real-world-driven world models for autonomous driving","venue":null,"work_id":"092bc291-518e-422e-87fe-7c934d9228e3","year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:46.750825Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:0e079e61f9946f826aeda3735c017416fa2e46fc965fbf015ba8ec6dce7ff591","observation_id":"f3d522f5-4492-484b-9c52-de84f2423c85","resolution":{"observed_at":"2026-08-07T13:13:52.215253Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.09985","last_updated":"2024-01-18T14:01:20Z","snapshot_observed_at":"2026-08-07T06:47:36.460071Z","submitted_at":"2024-01-18T14:01:20Z","title":"WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.09985","snapshot_observed_at":"2026-08-07T13:13:46.886225Z","title":"Worlddreamer: Towards general world models for video generation via predicting masked tokens","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:46.886225Z"},"links":{"cited_paper":"/paper/2401.09985","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:254e20b896c7e0d86f9573fcf4a9a2d7bfcd874c2869b0270f9fff5712066c5d","observation_id":"070a908b-344a-46e1-9682-121b51bcfe98","resolution":{"observed_at":"2026-08-07T13:13:46.886225Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10738","last_updated":"2024-10-14T17:19:23Z","snapshot_observed_at":"2026-08-01T16:46:45.539641Z","submitted_at":"2024-10-14T17:19:23Z","title":"DrivingDojo Dataset: Advancing Interactive and Knowledge-Enriched Driving World Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.10738","snapshot_observed_at":"2026-08-07T13:13:47.026476Z","title":"Drivingdojo dataset: Advancing interactive and knowledge-enriched driving world model","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:47.026476Z"},"links":{"cited_paper":"/paper/2410.10738","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:374b67856e86ac7da6e56fa5923f59afbc82bfb9e5f4d373c1e26477a332bb99","observation_id":"85b4494e-96cf-411c-a40d-aec887d2c06c","resolution":{"observed_at":"2026-08-07T13:13:47.026476Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:51.944053Z","title":"Bovik, Hamid R","venue":null,"work_id":"3adfac30-530c-4345-bcba-d5e988e30504","year":2004},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:47.127590Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:abceae728552e1c59a6cd3c8b531ecb414780a6032fdd3aa3781f05ea444c1b2","observation_id":"082ebf1f-8919-4757-80cf-b5b43bd7788e","resolution":{"observed_at":"2026-08-07T13:13:52.052564Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.03641","last_updated":"2024-07-16T17:27:10Z","snapshot_observed_at":"2026-07-06T16:57:51.263433Z","submitted_at":"2023-12-06T17:49:57Z","title":"MotionCtrl: A Unified and Flexible Motion Controller for Video Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.03641","snapshot_observed_at":"2026-08-07T13:13:47.182163Z","title":"Mo- tionCtrl: A Unified and Flexible Motion Controller for Video Generation.arXiv preprint arXiv:2312.03641, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:47.182163Z"},"links":{"cited_paper":"/paper/2312.03641","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:de6f2d53d5202323e345fe763e6c35fe459a138f903854acd90d6d86b03af0c0","observation_id":"3ad4b8f3-b9ab-48cf-b7b5-7e5b51db22c4","resolution":{"observed_at":"2026-08-07T13:13:47.182163Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.03272","last_updated":"2024-09-05T06:30:01Z","snapshot_observed_at":"2026-08-06T22:24:59.570320Z","submitted_at":"2024-09-05T06:30:01Z","title":"OccLLaMA: An Occupancy-Language-Action Generative World Model for Autonomous Driving","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.03272","snapshot_observed_at":"2026-08-07T13:13:47.323489Z","title":"Oc- cllama: An occupancy-language-action generative world model for autonomous driving","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:47.323489Z"},"links":{"cited_paper":"/paper/2409.03272","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:7b791b4ca69daf56af6f4b3f5cf3deaf735f1bc149c417118bd2f5e0fb8a574f","observation_id":"006ca96d-6c9b-4f8b-a458-ec59649705b6","resolution":{"observed_at":"2026-08-07T13:13:47.323489Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:51.776790Z","title":"Fast point cloud generation with straight flows","venue":null,"work_id":"5e3b9fd8-6b97-4e52-a686-4ad8d18a2f94","year":2023},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:47.439685Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:ed83c388e246920c4854d097bc7ebb41976c273fb43bb6abcabe9b5692277006","observation_id":"b22d3e96-e7a0-4ea0-82e6-3706fc90411c","resolution":{"observed_at":"2026-08-07T13:13:51.867955Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.01407","last_updated":"2024-12-03T13:14:39Z","snapshot_observed_at":"2026-07-06T20:00:09.775334Z","submitted_at":"2024-12-02T11:50:35Z","title":"HoloDrive: Holistic 2D-3D Multi-Modal Street Scene Generation for Autonomous Driving","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.01407","snapshot_observed_at":"2026-08-07T13:13:47.504190Z","title":"Holodrive: Holistic 2d-3d multi-modal street scene generation for autonomous driving","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:47.504190Z"},"links":{"cited_paper":"/paper/2412.01407","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:a37dfb943fd16d4ee08ae03bae37546dfe88a4a4f69f5e76f33f897a8ff1302a","observation_id":"163d9509-e8e5-420c-bc2a-9421b466c7ad","resolution":{"observed_at":"2026-08-07T13:13:47.504190Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17933","last_updated":"2024-05-28T07:58:33Z","snapshot_observed_at":"2026-07-06T18:21:09.808086Z","submitted_at":"2024-05-28T07:58:33Z","title":"ToonCrafter: Generative Cartoon Interpolation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.17933","snapshot_observed_at":"2026-08-07T13:13:47.582261Z","title":"Tooncrafter: Generative cartoon interpolation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:47.582261Z"},"links":{"cited_paper":"/paper/2405.17933","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:704499fd7ad024e9cb074cff51b5378ac99274e1549471a13e5125348c30deae","observation_id":"15a84e0b-054d-4ff9-8548-74b05a9ef2e4","resolution":{"observed_at":"2026-08-07T13:13:47.582261Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:51.638563Z","title":"Make-your-video: Customized video generation using textual and structural guidance","venue":null,"work_id":"e09969ac-6bf0-4f06-a794-052d87c1a2b8","year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:47.674826Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:a8a5731f55dd8db1ea8f50700cc209ff531f46451e2a91f177faa58ac3d2d6c6","observation_id":"e17d82ac-1cfc-4c33-9659-a35e3a9f0247","resolution":{"observed_at":"2026-08-07T13:13:51.689771Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.12190","last_updated":"2023-11-27T13:36:04Z","snapshot_observed_at":"2026-08-08T04:50:57.819787Z","submitted_at":"2023-10-18T14:42:16Z","title":"DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.12190","snapshot_observed_at":"2026-08-07T13:13:47.828734Z","title":"Dy- namicrafter: Animating open-domain images with video diffusion priors","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:47.828734Z"},"links":{"cited_paper":"/paper/2310.12190","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:4c507e0662a3362b383ce80862d5b3f545765dacd3b22b3e423eaf8a5e254196","observation_id":"d7807148-38fa-4e98-a920-20fcc5d98908","resolution":{"observed_at":"2026-08-07T13:13:47.828734Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.02509","last_updated":"2024-06-04T17:27:19Z","snapshot_observed_at":"2026-08-04T13:02:12.217544Z","submitted_at":"2024-06-04T17:27:19Z","title":"CamCo: Camera-Controllable 3D-Consistent Image-to-Video Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.02509","snapshot_observed_at":"2026-08-07T13:13:47.928762Z","title":"Camco: Camera-controllable 3d-consistent image-to-video generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:47.928762Z"},"links":{"cited_paper":"/paper/2406.02509","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:5463f22522d17c777dd332da0814add486fc40b198661aa5b0720e8ca40a67cd","observation_id":"7bf63a6b-efa8-4abe-ab16-63984b5bc252","resolution":{"observed_at":"2026-08-07T13:13:47.928762Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"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":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.11252","snapshot_observed_at":"2026-08-07T13:13:47.961520Z","title":"Drivingsphere: Building a high-fidelity 4d world for closed-loop simulation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:47.961520Z"},"links":{"cited_paper":"/paper/2411.11252","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:42789c54570b806cf1fecdaedd678cba0e0d3d8b34f726d40d45a4378c3b040f","observation_id":"5833e7f1-71f1-4fb4-99b4-410f9db51ac8","resolution":{"observed_at":"2026-08-07T13:13:47.961520Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:48.056934Z","title":"Street gaussians: Modeling dynamic urban scenes with gaussian splatting","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:48.056934Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:c19fe5c0bf0f2a361725dcbe73086b11402296e566fd26abcd69c41e02348a61","observation_id":"b8f40c52-e63f-4e7f-aa1c-86071f6891c3","resolution":{"observed_at":"2026-08-07T13:13:48.056934Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.11356","last_updated":"2025-02-13T05:20:48Z","snapshot_observed_at":"2026-07-06T19:16:51.512681Z","submitted_at":"2024-09-17T17:00:52Z","title":"RenderWorld: World Model with Self-Supervised 3D Label","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.11356","snapshot_observed_at":"2026-08-07T13:13:48.094190Z","title":"Renderworld: World model with self-supervised 3d label.arXiv preprint arXiv:2409.11356, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:48.094190Z"},"links":{"cited_paper":"/paper/2409.11356","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:2750e4b6218657401f002741a5faebd81918b6d807eb59ac5b109027af77af1d","observation_id":"b4366469-57ce-43cd-ab3c-ccbc6dff6753","resolution":{"observed_at":"2026-08-07T13:13:48.094190Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:51.441460Z","title":"Generalized Predictive Model for Autonomous Driving","venue":null,"work_id":"1751536c-0f40-4dee-b1e1-5f42cf0a7926","year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:48.137134Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:f0a04cddb82f39658b56c85a38182ae0810a68c6764767c9b624ad38c6136206","observation_id":"9c6e7c54-6ede-46e1-9535-60380013544a","resolution":{"observed_at":"2026-08-07T13:13:51.514238Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.00415","snapshot_observed_at":"2026-08-07T13:13:48.204636Z","title":"Drivearena: A closed-loop generative simulation platform for autonomous driving","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:48.204636Z"},"links":{"cited_paper":"/paper/2408.00415","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:ba836a69e44888c327624083748b4bdb475439e81b02dc13cb49a829fb8c679b","observation_id":"cbcbf7e7-7c6e-4bcb-b9af-4198976ef196","resolution":{"observed_at":"2026-08-07T13:13:48.204636Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:51.271697Z","title":"Visual point cloud forecasting enables scalable autonomous driving","venue":null,"work_id":"8146aaaf-eef0-4992-88ba-ae5e844c7a35","year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:48.301366Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:86bfb4612b75bb3f908e5740f101b6f5c59cec1f5662b42be70981fbe74942dc","observation_id":"879ef3eb-34ae-42bc-a2a1-b60b09918370","resolution":{"observed_at":"2026-08-07T13:13:51.351402Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.06072","last_updated":"2025-03-26T08:33:10Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-08-12T11:47:11Z","title":"CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.06072","snapshot_observed_at":"2026-08-07T13:13:48.400467Z","title":"Cogvideox: Text-to-video diffusion models with an expert transformer","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:48.400467Z"},"links":{"cited_paper":"/paper/2408.06072","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:dc9ebba1e5f4946153b2fcdf625eccc4abd3b895d7f9e711ccc572d0b45736e2","observation_id":"cc6121cb-2ac6-47ed-af5c-33e9f52a01c3","resolution":{"observed_at":"2026-08-07T13:13:48.400467Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.08089","last_updated":"2023-08-16T01:43:41Z","snapshot_observed_at":"2026-07-06T16:06:38.424057Z","submitted_at":"2023-08-16T01:43:41Z","title":"DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.08089","snapshot_observed_at":"2026-08-07T13:13:48.499494Z","title":"Drag- nuwa: Fine-grained control in video generation by integrating text, image, and trajectory","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:48.499494Z"},"links":{"cited_paper":"/paper/2308.08089","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:8ebb5f34e596035c46e71a64fb7b2f9b7b47f94bddda3f84b74d1ebbb61a005e","observation_id":"2fdee80e-e591-4545-8b0c-e498fe7e8cf8","resolution":{"observed_at":"2026-08-07T13:13:48.499494Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:51.106006Z","title":"Nerf-lidar: Generating realistic lidar point clouds with neural radiance fields","venue":null,"work_id":"691aa2d8-9aa2-4b64-bb92-16c2e163a4a6","year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:48.569062Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:1aa743c0f83e231c9cd9e2070cb641aa878e4bd7a4ad16d70416c9eed283c2ee","observation_id":"e410f5d1-cfd0-4d74-942c-ad71c3a6a37c","resolution":{"observed_at":"2026-08-07T13:13:51.189898Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.03825","last_updated":"2025-05-08T08:32:16Z","snapshot_observed_at":"2026-07-06T19:28:08.374354Z","submitted_at":"2024-10-04T18:00:07Z","title":"MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.03825","snapshot_observed_at":"2026-08-07T13:13:48.641172Z","title":"Monst3r: A simple approach for estimating geometry in the presence of motion","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:48.641172Z"},"links":{"cited_paper":"/paper/2410.03825","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:9e2a6e3ee752ffa2a36292366766ef2f510f38e5a16867e87b11de085cf350d9","observation_id":"dcd6aa33-8309-4280-bfca-cd6bf7b8f173","resolution":{"observed_at":"2026-08-07T13:13:48.641172Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:50.955060Z","title":"Copilot4d: Learning unsupervised world models for autonomous driving via discrete diffusion","venue":null,"work_id":"9f8e4903-f0e5-4f01-8aaa-214f31f5ac86","year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:48.714373Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:3b13ff23fe7432f56fe0369935058a6bafc3bb6951ce01d3659f5fa47cabc8db","observation_id":"9240be9e-2770-451d-bfa3-23fd91829237","resolution":{"observed_at":"2026-08-07T13:13:51.014910Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:50.812016Z","title":"Adding conditional control to text-to-image diffusion models","venue":null,"work_id":"f9798dee-b39f-461a-b256-cf72c1911c7c","year":2023},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:48.835014Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:3248d487fc5a6e904778ca24d6f7138915d7ed051eb14907e9f2a6b66d6be31e","observation_id":"d02f5f78-8e61-4640-8589-e4b2ca8f8006","resolution":{"observed_at":"2026-08-07T13:13:50.912662Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.05679","last_updated":"2025-04-30T13:43:51Z","snapshot_observed_at":"2026-08-04T05:35:49.863354Z","submitted_at":"2024-07-08T07:26:08Z","title":"BEVWorld: A Multimodal World Simulator for Autonomous Driving via Scene-Level BEV Latents","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.05679","snapshot_observed_at":"2026-08-07T13:13:48.940769Z","title":"Bevworld: A multimodal world model for autonomous driving via unified bev latent space","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:48.940769Z"},"links":{"cited_paper":"/paper/2407.05679","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:d4aca34e3e57ce33f5fad6962a84f26063de9acd82501b547599b89e2a79708b","observation_id":"ae97678e-55ae-45b0-a7d5-541ba51c9271","resolution":{"observed_at":"2026-08-07T13:13:48.940769Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.13571","last_updated":"2024-11-25T07:02:47Z","snapshot_observed_at":"2026-07-06T19:35:17.363851Z","submitted_at":"2024-10-17T14:07:46Z","title":"DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.13571","snapshot_observed_at":"2026-08-07T13:13:49.020295Z","title":"Drivedreamer4d: World models are effective data machines for 4d driving scene representation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:49.020295Z"},"links":{"cited_paper":"/paper/2410.13571","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:b932b92c1c5dc1947b3caebf1b998e1780b54b83eab3c5f78bf171f557409942","observation_id":"8932526d-abc7-4aee-914e-3f08321bbb4d","resolution":{"observed_at":"2026-08-07T13:13:49.020295Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.06845","last_updated":"2024-04-11T04:17:13Z","snapshot_observed_at":"2026-08-06T17:41:27.486645Z","submitted_at":"2024-03-11T16:03:35Z","title":"DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.06845","snapshot_observed_at":"2026-08-07T13:13:49.159653Z","title":"DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:49.159653Z"},"links":{"cited_paper":"/paper/2403.06845","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:aa649ed865bf950d996885911fb7dad67fdf016fd8dfd35bac50a70808c0b22f","observation_id":"c169dc51-180e-470a-aa21-97828b08e231","resolution":{"observed_at":"2026-08-07T13:13:49.159653Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:50.669300Z","title":"Sce2drivex: A generalized mllm framework for scene-to-drive learning, 2025","venue":null,"work_id":"c66197d2-f1c5-4a6e-aa15-41e1affff8cc","year":2025},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:49.253623Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:386308763e5becfbe7706dd5bc8d910bd276b94e00f24cee2715e62ff4bf4344","observation_id":"0fe889b9-22af-4619-b3da-d7ed0c74b6f6","resolution":{"observed_at":"2026-08-07T13:13:50.725235Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:50.534981Z","title":"Occworld: Learning a 3d occupancy world model for autonomous driving","venue":null,"work_id":"1b129b1f-fc02-40ca-bf1d-66ade9758580","year":2025},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:49.352347Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:f336c63e6ce2543d3c81efa6c8fd428e69067b89e9a34381227959f48b61dd73","observation_id":"b84b8d5e-5483-4afa-8ebe-b2eed8c85fad","resolution":{"observed_at":"2026-08-07T13:13:50.595245Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.09627","last_updated":"2024-12-12T18:59:59Z","snapshot_observed_at":"2026-08-05T03:34:06.291232Z","submitted_at":"2024-12-12T18:59:59Z","title":"Doe-1: Closed-Loop Autonomous Driving with Large World Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.09627","snapshot_observed_at":"2026-08-07T13:13:49.436064Z","title":"Doe-1: Closed-loop autonomous driving with large world model","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:49.436064Z"},"links":{"cited_paper":"/paper/2412.09627","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:c5fe8b1d301c8f3f3fe73d72626f350d6a0b28fde9c9df07a552930ac11eac39","observation_id":"904c150a-8765-4f0e-a023-674d4a876fa3","resolution":{"observed_at":"2026-08-07T13:13:49.436064Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:13:50.341827Z","title":null,"venue":null,"work_id":"a33bb37b-2643-4835-85b6-82841da51fdf","year":2025},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:49.541452Z"},"links":{"citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:699b04df42920c0a5da8184f3abed03d2418d919e474084645c2f449f693d76e","observation_id":"8eec357c-851c-4908-9f1a-5dab9fae46b8","resolution":{"observed_at":"2026-08-07T13:13:50.441012Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.09386","last_updated":"2024-12-07T10:25:34Z","snapshot_observed_at":"2026-07-06T18:30:32.982860Z","submitted_at":"2024-06-13T17:58:32Z","title":"SimGen: Simulator-conditioned Driving Scene Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.09386","snapshot_observed_at":"2026-08-07T13:13:49.608108Z","title":"Simgen: Simulator-conditioned driving scene generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:49.608108Z"},"links":{"cited_paper":"/paper/2406.09386","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:d9a6f92851636ff658c7c1191b2f66497ff991c3ffb1ada73e7225ff40375831","observation_id":"9413bceb-eaa2-4e4d-a3d5-6167653846f0","resolution":{"observed_at":"2026-08-07T13:13:49.608108Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.10373","last_updated":"2024-12-13T18:59:54Z","snapshot_observed_at":"2026-08-06T19:23:47.886492Z","submitted_at":"2024-12-13T18:59:54Z","title":"GaussianWorld: Gaussian World Model for Streaming 3D Occupancy Prediction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.10373","snapshot_observed_at":"2026-08-07T13:13:49.672035Z","title":"Gaussianworld: Gaussian world model for streaming 3d occupancy prediction","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:49.672035Z"},"links":{"cited_paper":"/paper/2412.10373","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:067007c2b111dfa8414192535fe7eca6d0507fc4e43c9959853068d41373b283","observation_id":"49956bc2-ee9b-4066-ad8f-255aa10fab66","resolution":{"observed_at":"2026-08-07T13:13:49.672035Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T13:05:11.824633Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control"},"reference_resolution":{"displayed":91,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":62,"verified_exact":0,"verified_fuzzy":29},"total_outbound_references":91},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 91 of 91 outbound references and 7 inbound Pith citation observations for arXiv:2505.22421."}