{"as_of":"2026-08-23T23:20:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d1a0c1346d6534ef4a314ecee7808d3b4a4635610bd48d8cf1ba9603b5e839b6","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":24,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":24,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+00:00","state":"measured"},{"denominator":24,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":24,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T18:31:52.200536Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-07T15:43:53.822146Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.15672","last_updated":"2025-02-21T18:56:02Z","snapshot_observed_at":"2026-08-20T03:36:27.977218Z","submitted_at":"2025-02-21T18:56:02Z","title":"VaViM and VaVAM: Autonomous Driving through Video Generative Modeling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.15672","snapshot_observed_at":"2026-08-10T18:31:52.200536Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2501.11260","last_updated":"2025-09-10T14:02:23Z","snapshot_observed_at":"2026-08-16T09:13:51.664817Z","submitted_at":"2025-01-20T04:00:02Z","title":"A Survey of World Models for Autonomous Driving","version":4},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T18:31:52.200536Z"},"links":{"cited_paper":"/paper/2502.15672","citing_paper":"/paper/2501.11260"},"observation_digest":"sha256:f2264a48a5606d89b194f7d2cbec10d00a2cda6375ec3d0188940e8b83978830","observation_id":"98a69bdf-aea7-4352-a7bd-f5314615b69f","resolution":{"observed_at":"2026-08-10T18:31:52.200536Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.15672","last_updated":"2025-02-21T18:56:02Z","snapshot_observed_at":"2026-08-20T03:36:27.977218Z","submitted_at":"2025-02-21T18:56:02Z","title":"VaViM and VaVAM: Autonomous Driving through Video Generative Modeling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.15672","snapshot_observed_at":"2026-08-06T21:31:04.325481Z","title":"Vavim and vavam: Autonomous driving through video generative modeling","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.24044","last_updated":"2025-06-30T16:50:02Z","snapshot_observed_at":"2026-08-19T22:31:35.698906Z","submitted_at":"2025-06-30T16:50:02Z","title":"A Survey on Vision-Language-Action Models for Autonomous Driving","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T21:31:04.325481Z"},"links":{"cited_paper":"/paper/2502.15672","citing_paper":"/paper/2506.24044"},"observation_digest":"sha256:cdc4c94c28bc910c1783e9bd270bad671c762dbcc87f6c1a204f2605bc2df2e0","observation_id":"1d2f59fb-38cf-4392-b6ad-e788b6dbb978","resolution":{"observed_at":"2026-08-06T21:31:04.325481Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.15672","last_updated":"2025-02-21T18:56:02Z","snapshot_observed_at":"2026-08-20T03:36:27.977218Z","submitted_at":"2025-02-21T18:56:02Z","title":"VaViM and VaVAM: Autonomous Driving through Video Generative Modeling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.15672","snapshot_observed_at":"2026-08-06T21:19:28.485169Z","title":"Vavim and vavam: Autonomous driving through video gen- erative modeling","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.00603","last_updated":"2025-07-01T09:36:38Z","snapshot_observed_at":"2026-08-18T03:35:58.015542Z","submitted_at":"2025-07-01T09:36:38Z","title":"World4Drive: End-to-End Autonomous Driving via Intention-aware Physical Latent World Model","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T21:19:28.485169Z"},"links":{"cited_paper":"/paper/2502.15672","citing_paper":"/paper/2507.00603"},"observation_digest":"sha256:8a58f02db9996fc332723752f22c20c1fd320943b58a8db09a629553e26ce431","observation_id":"eaa5fb24-5ed8-48a9-bf5f-1e51a0fa7e99","resolution":{"observed_at":"2026-08-06T21:19:28.485169Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.15672","last_updated":"2025-02-21T18:56:02Z","snapshot_observed_at":"2026-08-20T03:36:27.977218Z","submitted_at":"2025-02-21T18:56:02Z","title":"VaViM and VaVAM: Autonomous Driving through Video Generative Modeling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.15672","snapshot_observed_at":"2026-08-06T14:24:19.834310Z","title":"Vavim and vavam: Autonomous driving through video generative modeling","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.19468","last_updated":"2025-07-25T17:54:10Z","snapshot_observed_at":"2026-08-17T15:50:29.586120Z","submitted_at":"2025-07-25T17:54:10Z","title":"Back to the Features: DINO as a Foundation for Video World Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T14:24:19.834310Z"},"links":{"cited_paper":"/paper/2502.15672","citing_paper":"/paper/2507.19468"},"observation_digest":"sha256:1a848559f879fb02ae9bef10c9d56fad787f361331181a3e90963f7cbbd94921","observation_id":"4adec688-ce17-42ab-b3d9-c6d341f9820c","resolution":{"observed_at":"2026-08-06T14:24:19.834310Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.15672","last_updated":"2025-02-21T18:56:02Z","snapshot_observed_at":"2026-08-20T03:36:27.977218Z","submitted_at":"2025-02-21T18:56:02Z","title":"VaViM and VaVAM: Autonomous Driving through Video Generative Modeling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.15672","snapshot_observed_at":"2026-08-05T06:04:04.374758Z","title":"VaViM and VaVAM: Autonomous driving through video generative modeling.arXiv preprint arXiv:2502.15672, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.07996","last_updated":"2026-07-20T17:34:32Z","snapshot_observed_at":"2026-08-20T03:51:45.381776Z","submitted_at":"2025-09-04T17:59:58Z","title":"3D and 4D World Modeling: A Survey","version":4},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T06:04:04.374758Z"},"links":{"cited_paper":"/paper/2502.15672","citing_paper":"/paper/2509.07996"},"observation_digest":"sha256:88a43e5cf6bd06f3d995934cc9942fefd07a3f61dd3312b1a529cc8fc5d0880b","observation_id":"2751700a-1f19-4ded-baaa-46881034eee9","resolution":{"observed_at":"2026-08-05T06:04:04.374758Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.15672","last_updated":"2025-02-21T18:56:02Z","snapshot_observed_at":"2026-08-20T03:36:27.977218Z","submitted_at":"2025-02-21T18:56:02Z","title":"VaViM and VaVAM: Autonomous Driving through Video Generative Modeling","version":1},"cited_work":{"arxiv_id":"2502.15672","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.15672","snapshot_observed_at":"2026-07-07T15:43:53.822146Z","title":"Vavim and vavam: Autonomous driving through video generative modeling","venue":"cs.CV","work_id":"b75ea66d-dafb-43ec-9345-f50eb3d615e2","year":2025},"citing_paper":{"arxiv_id":"2510.12796","last_updated":"2025-12-18T07:25:29Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-10-14T17:59:47Z","title":"DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-17T06:48:00.943591Z"},"links":{"cited_paper":"/paper/2502.15672","citing_paper":"/paper/2510.12796"},"observation_digest":"sha256:2c1d8749ee3549fe58c1a5bf1e01218dca8fe6d00c15e911255c93518c37caea","observation_id":"325748e3-67a1-45d0-9882-71269879cebe","resolution":{"observed_at":"2026-05-17T06:48:00.985516Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.15672","last_updated":"2025-02-21T18:56:02Z","snapshot_observed_at":"2026-08-20T03:36:27.977218Z","submitted_at":"2025-02-21T18:56:02Z","title":"VaViM and VaVAM: Autonomous Driving through Video Generative Modeling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.15672","snapshot_observed_at":"2026-08-03T17:02:30.307199Z","title":"VaViM and VaVAM: Autonomous driving through video generative modeling.arXiv preprint arXiv:2502.15672, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2512.10958","last_updated":"2026-06-01T17:54:44Z","snapshot_observed_at":"2026-08-13T02:06:13.721301Z","submitted_at":"2025-12-11T18:59:58Z","title":"WorldLens: Full-Spectrum Evaluations of Driving World Models in Real World","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-03T17:02:30.307199Z"},"links":{"cited_paper":"/paper/2502.15672","citing_paper":"/paper/2512.10958"},"observation_digest":"sha256:59a96313438a3afcea3c74d313daa6f83afc3c06ad0ecdd37781829db27e4b10","observation_id":"89e6d0d1-cf91-4507-9fa9-6b3bbe111bb1","resolution":{"observed_at":"2026-08-03T17:02:30.307199Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.15672","last_updated":"2025-02-21T18:56:02Z","snapshot_observed_at":"2026-08-20T03:36:27.977218Z","submitted_at":"2025-02-21T18:56:02Z","title":"VaViM and VaVAM: Autonomous Driving through Video Generative Modeling","version":1},"cited_work":{"arxiv_id":"2502.15672","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.15672","snapshot_observed_at":"2026-07-07T15:43:53.822146Z","title":"Vavim and vavam: Autonomous driving through video generative modeling","venue":"cs.CV","work_id":"b75ea66d-dafb-43ec-9345-f50eb3d615e2","year":2025},"citing_paper":{"arxiv_id":"2512.23421","last_updated":"2026-04-17T11:51:10Z","snapshot_observed_at":"2026-08-10T21:24:55.790519Z","submitted_at":"2025-12-29T12:32:27Z","title":"DriveLaW:Unifying Planning and Video Generation in a Latent Driving World","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-16T19:34:39.518649Z"},"links":{"cited_paper":"/paper/2502.15672","citing_paper":"/paper/2512.23421"},"observation_digest":"sha256:dc3cfee00758b6d364b062aa01db86c38f2c20890b1e8298d207bb9741bdd7b4","observation_id":"d0ea12a4-9b2e-4d5b-80af-86c35cc585cd","resolution":{"observed_at":"2026-05-16T19:38:21.101596Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.15672","last_updated":"2025-02-21T18:56:02Z","snapshot_observed_at":"2026-08-20T03:36:27.977218Z","submitted_at":"2025-02-21T18:56:02Z","title":"VaViM and VaVAM: Autonomous Driving through Video Generative Modeling","version":1},"cited_work":{"arxiv_id":"2502.15672","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.15672","snapshot_observed_at":"2026-07-07T15:43:53.822146Z","title":"Vavim and vavam: Autonomous driving through video generative modeling","venue":"cs.CV","work_id":"b75ea66d-dafb-43ec-9345-f50eb3d615e2","year":2025},"citing_paper":{"arxiv_id":"2512.24497","last_updated":"2026-05-18T09:26:59Z","snapshot_observed_at":"2026-08-17T05:10:59.831013Z","submitted_at":"2025-12-30T22:50:03Z","title":"What Drives Success in Physical Planning with Joint-Embedding Predictive World Models?","version":3},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-05-21T15:33:24.616338Z"},"links":{"cited_paper":"/paper/2502.15672","citing_paper":"/paper/2512.24497"},"observation_digest":"sha256:cec7ff72a5faabc7301e367d0124c049eacf4bf1d5d44f88b445a971d87d66b2","observation_id":"9b29dd54-7774-48f9-84f0-cb4b9ca50da6","resolution":{"observed_at":"2026-05-21T15:34:15.040722Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.15672","last_updated":"2025-02-21T18:56:02Z","snapshot_observed_at":"2026-08-20T03:36:27.977218Z","submitted_at":"2025-02-21T18:56:02Z","title":"VaViM and VaVAM: Autonomous Driving through Video Generative Modeling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.15672","snapshot_observed_at":"2026-08-03T06:48:14.191308Z","title":"Vavim and vavam: Autonomous driv- ing through video generative modeling.arXiv preprint arXiv:2502.15672,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2601.22032","last_updated":"2026-07-02T16:34:59Z","snapshot_observed_at":"2026-08-13T10:36:13.894097Z","submitted_at":"2026-01-29T17:39:20Z","title":"Drive-JEPA: Video JEPA Meets Multimodal Trajectory Distillation for End-to-End Driving","version":2},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-03T06:48:14.191308Z"},"links":{"cited_paper":"/paper/2502.15672","citing_paper":"/paper/2601.22032"},"observation_digest":"sha256:7aa5b297d397f7357527e03be6b9609e6f0f52a18240f844813abe73c5223d98","observation_id":"42d55493-7c92-423a-85bd-5bd24310d882","resolution":{"observed_at":"2026-08-03T06:48:14.191308Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.15672","last_updated":"2025-02-21T18:56:02Z","snapshot_observed_at":"2026-08-20T03:36:27.977218Z","submitted_at":"2025-02-21T18:56:02Z","title":"VaViM and VaVAM: Autonomous Driving through Video Generative Modeling","version":1},"cited_work":{"arxiv_id":"2502.15672","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.15672","snapshot_observed_at":"2026-07-07T15:43:53.822146Z","title":"Vavim and vavam: Autonomous driving through video generative modeling","venue":"cs.CV","work_id":"b75ea66d-dafb-43ec-9345-f50eb3d615e2","year":2025},"citing_paper":{"arxiv_id":"2603.28489","last_updated":"2026-07-04T13:25:12Z","snapshot_observed_at":"2026-08-05T11:17:52.410204Z","submitted_at":"2026-03-30T14:23:45Z","title":"Video Generation Models as World Models: Efficient Paradigms, Architectures and Algorithms","version":2},"reference_index":196,"source":"pdf_text","source_observed_at":"2026-05-14T01:35:14.878069Z"},"links":{"cited_paper":"/paper/2502.15672","citing_paper":"/paper/2603.28489"},"observation_digest":"sha256:37cf88e950d0325b822238d5813fb2658e6b1b3fc81cba648224975bea9857b0","observation_id":"f59e3f4d-4712-4943-ba46-92d8580d0f8c","resolution":{"observed_at":"2026-05-14T01:38:36.161667Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.15672","last_updated":"2025-02-21T18:56:02Z","snapshot_observed_at":"2026-08-20T03:36:27.977218Z","submitted_at":"2025-02-21T18:56:02Z","title":"VaViM and VaVAM: Autonomous Driving through Video Generative Modeling","version":1},"cited_work":{"arxiv_id":"2502.15672","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.15672","snapshot_observed_at":"2026-07-07T15:43:53.822146Z","title":"Vavim and vavam: Autonomous driving through video generative modeling","venue":"cs.CV","work_id":"b75ea66d-dafb-43ec-9345-f50eb3d615e2","year":2025},"citing_paper":{"arxiv_id":"2604.11707","last_updated":"2026-04-13T16:42:46Z","snapshot_observed_at":"2026-08-14T02:26:44.424103Z","submitted_at":"2026-04-13T16:42:46Z","title":"Representations Before Pixels: Semantics-Guided Hierarchical Video Prediction","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-10T16:30:53.578491Z"},"links":{"cited_paper":"/paper/2502.15672","citing_paper":"/paper/2604.11707"},"observation_digest":"sha256:9c1551712a7adc3558315712cdb14581d69ee55c9563daef2a6826b8f925a13e","observation_id":"50dd9433-6df4-4d20-b495-d3d5b72f6c24","resolution":{"observed_at":"2026-05-11T08:45:58.641574Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.15672","last_updated":"2025-02-21T18:56:02Z","snapshot_observed_at":"2026-08-20T03:36:27.977218Z","submitted_at":"2025-02-21T18:56:02Z","title":"VaViM and VaVAM: Autonomous Driving through Video Generative Modeling","version":1},"cited_work":{"arxiv_id":"2502.15672","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.15672","snapshot_observed_at":"2026-07-07T15:43:53.822146Z","title":"Vavim and vavam: Autonomous driving through video generative modeling","venue":"cs.CV","work_id":"b75ea66d-dafb-43ec-9345-f50eb3d615e2","year":2025},"citing_paper":{"arxiv_id":"2605.11550","last_updated":"2026-05-12T05:30:00Z","snapshot_observed_at":"2026-08-11T15:01:27.396537Z","submitted_at":"2026-05-12T05:30:00Z","title":"The DAWN of World-Action Interactive Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-13T02:05:07.140357Z"},"links":{"cited_paper":"/paper/2502.15672","citing_paper":"/paper/2605.11550"},"observation_digest":"sha256:b664197691c0191a545ecdbf20aad29d106d06ef08c84bc7ab0ee9dbb611091c","observation_id":"2769e7f4-f4e9-4772-874e-dddee224a7b6","resolution":{"observed_at":"2026-05-13T02:07:07.678692Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.15672","last_updated":"2025-02-21T18:56:02Z","snapshot_observed_at":"2026-08-20T03:36:27.977218Z","submitted_at":"2025-02-21T18:56:02Z","title":"VaViM and VaVAM: Autonomous Driving through Video Generative Modeling","version":1},"cited_work":{"arxiv_id":"2502.15672","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.15672","snapshot_observed_at":"2026-07-07T15:43:53.822146Z","title":"Vavim and vavam: Autonomous driving through video generative modeling","venue":"cs.CV","work_id":"b75ea66d-dafb-43ec-9345-f50eb3d615e2","year":2025},"citing_paper":{"arxiv_id":"2605.18074","last_updated":"2026-05-18T08:55:32Z","snapshot_observed_at":"2026-08-19T07:46:19.681092Z","submitted_at":"2026-05-18T08:55:32Z","title":"4DLidarOpen: An Open 4D FMCW Lidar Dataset for Motion-Aware Autonomous Driving","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-20T10:06:30.679915Z"},"links":{"cited_paper":"/paper/2502.15672","citing_paper":"/paper/2605.18074"},"observation_digest":"sha256:2680a4d87572cb2800b899854ea95b86f469fdca1dd0b0b1f64e0df92418a921","observation_id":"8f47508d-f119-4ef8-82f3-549e1adced3b","resolution":{"observed_at":"2026-05-20T10:08:12.278621Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.15672","last_updated":"2025-02-21T18:56:02Z","snapshot_observed_at":"2026-08-20T03:36:27.977218Z","submitted_at":"2025-02-21T18:56:02Z","title":"VaViM and VaVAM: Autonomous Driving through Video Generative Modeling","version":1},"cited_work":{"arxiv_id":"2502.15672","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.15672","snapshot_observed_at":"2026-07-07T15:43:53.822146Z","title":"Vavim and vavam: Autonomous driving through video generative modeling","venue":"cs.CV","work_id":"b75ea66d-dafb-43ec-9345-f50eb3d615e2","year":2025},"citing_paper":{"arxiv_id":"2605.28544","last_updated":"2026-05-27T14:36:26Z","snapshot_observed_at":"2026-08-14T05:38:38.306219Z","submitted_at":"2026-05-27T14:36:26Z","title":"DriveWAM: Video Generative Priors Enable Scalable World-Action Modeling for Autonomous Driving","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-29T13:42:27.136257Z"},"links":{"cited_paper":"/paper/2502.15672","citing_paper":"/paper/2605.28544"},"observation_digest":"sha256:59f0e33e8ea755b7df498061b0727b20d6f9ad954e2dc360f7202354d723aaa5","observation_id":"cbd00732-772b-428c-9d10-d10f5915c54d","resolution":{"observed_at":"2026-06-29T13:43:28.473188Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.15672","last_updated":"2025-02-21T18:56:02Z","snapshot_observed_at":"2026-08-20T03:36:27.977218Z","submitted_at":"2025-02-21T18:56:02Z","title":"VaViM and VaVAM: Autonomous Driving through Video Generative Modeling","version":1},"cited_work":{"arxiv_id":"2502.15672","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.15672","snapshot_observed_at":"2026-07-07T15:43:53.822146Z","title":"Vavim and vavam: Autonomous driving through video generative modeling","venue":"cs.CV","work_id":"b75ea66d-dafb-43ec-9345-f50eb3d615e2","year":2025},"citing_paper":{"arxiv_id":"2606.00267","last_updated":"2026-05-29T18:57:57Z","snapshot_observed_at":"2026-08-14T05:55:30.847601Z","submitted_at":"2026-05-29T18:57:57Z","title":"StressDream: Steering Video World Models for Robust Policy Evaluation and Improvement","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-06-28T22:45:58.629263Z"},"links":{"cited_paper":"/paper/2502.15672","citing_paper":"/paper/2606.00267"},"observation_digest":"sha256:d0bd1ccba7208e4206550ee102d508d23842663a394cac900b2961fc4ede1187","observation_id":"a7a1c77e-063d-44ca-b1d0-00b978817af9","resolution":{"observed_at":"2026-07-01T19:25:59.846533Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.15672","last_updated":"2025-02-21T18:56:02Z","snapshot_observed_at":"2026-08-20T03:36:27.977218Z","submitted_at":"2025-02-21T18:56:02Z","title":"VaViM and VaVAM: Autonomous Driving through Video Generative Modeling","version":1},"cited_work":{"arxiv_id":"2502.15672","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.15672","snapshot_observed_at":"2026-07-07T15:43:53.822146Z","title":"Vavim and vavam: Autonomous driving through video generative modeling","venue":"cs.CV","work_id":"b75ea66d-dafb-43ec-9345-f50eb3d615e2","year":2025},"citing_paper":{"arxiv_id":"2606.01164","last_updated":"2026-05-31T11:12:30Z","snapshot_observed_at":"2026-08-10T04:19:28.721919Z","submitted_at":"2026-05-31T11:12:30Z","title":"Towards Interactive Video World Modeling: Frontiers, Challenges, Benchmarks, and Future Trends","version":1},"reference_index":209,"source":"pdf_text","source_observed_at":"2026-06-28T17:29:18.513507Z"},"links":{"cited_paper":"/paper/2502.15672","citing_paper":"/paper/2606.01164"},"observation_digest":"sha256:fb00b8613a099431da263a554847ee62d63ec10431f35980128b15a5ce26fe12","observation_id":"87d69626-fb14-4b87-a5ce-4d8a6531fb43","resolution":{"observed_at":"2026-07-01T21:06:13.850205Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.15672","last_updated":"2025-02-21T18:56:02Z","snapshot_observed_at":"2026-08-20T03:36:27.977218Z","submitted_at":"2025-02-21T18:56:02Z","title":"VaViM and VaVAM: Autonomous Driving through Video Generative Modeling","version":1},"cited_work":{"arxiv_id":"2502.15672","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.15672","snapshot_observed_at":"2026-07-07T15:43:53.822146Z","title":"Vavim and vavam: Autonomous driving through video generative modeling","venue":"cs.CV","work_id":"b75ea66d-dafb-43ec-9345-f50eb3d615e2","year":2025},"citing_paper":{"arxiv_id":"2606.05645","last_updated":"2026-06-09T07:25:40Z","snapshot_observed_at":"2026-07-06T23:45:37.713710Z","submitted_at":"2026-06-04T03:16:31Z","title":"Discrete-WAM: Unified Discrete Vision-Action Token Editing for World-Policy Learning","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-28T01:49:25.510681Z"},"links":{"cited_paper":"/paper/2502.15672","citing_paper":"/paper/2606.05645"},"observation_digest":"sha256:4f0b516f1310df0bc27158bacbf1680d769c464937674ed52099c071053561cd","observation_id":"709c31e9-d661-4539-ac46-7da35e86cb31","resolution":{"observed_at":"2026-07-02T12:46:57.119337Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.15672","last_updated":"2025-02-21T18:56:02Z","snapshot_observed_at":"2026-08-20T03:36:27.977218Z","submitted_at":"2025-02-21T18:56:02Z","title":"VaViM and VaVAM: Autonomous Driving through Video Generative Modeling","version":1},"cited_work":{"arxiv_id":"2502.15672","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.15672","snapshot_observed_at":"2026-07-07T15:43:53.822146Z","title":"Vavim and vavam: Autonomous driving through video generative modeling","venue":"cs.CV","work_id":"b75ea66d-dafb-43ec-9345-f50eb3d615e2","year":2025},"citing_paper":{"arxiv_id":"2606.21172","last_updated":"2026-06-19T07:24:32Z","snapshot_observed_at":"2026-07-06T23:56:12.374739Z","submitted_at":"2026-06-19T07:24:32Z","title":"BadDreamer: Transferable Backdoor Attacks against Video World Models for Autonomous Driving","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-26T14:30:21.711927Z"},"links":{"cited_paper":"/paper/2502.15672","citing_paper":"/paper/2606.21172"},"observation_digest":"sha256:5043bac6e9d33133e11effe7b1e27c1298102dfb20109c82003cb028d354f650","observation_id":"cadc6e75-d750-4cbb-8a99-f63bba9803fa","resolution":{"observed_at":"2026-07-04T06:29:36.979775Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.15672","last_updated":"2025-02-21T18:56:02Z","snapshot_observed_at":"2026-08-20T03:36:27.977218Z","submitted_at":"2025-02-21T18:56:02Z","title":"VaViM and VaVAM: Autonomous Driving through Video Generative Modeling","version":1},"cited_work":{"arxiv_id":"2502.15672","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.15672","snapshot_observed_at":"2026-07-07T15:43:53.822146Z","title":"Vavim and vavam: Autonomous driving through video generative modeling","venue":"cs.CV","work_id":"b75ea66d-dafb-43ec-9345-f50eb3d615e2","year":2025},"citing_paper":{"arxiv_id":"2606.27504","last_updated":"2026-06-25T19:37:58Z","snapshot_observed_at":"2026-08-02T08:51:25.044614Z","submitted_at":"2026-06-25T19:37:58Z","title":"ReWorld: Learning Better Representations for World Action Models","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-29T01:58:46.435886Z"},"links":{"cited_paper":"/paper/2502.15672","citing_paper":"/paper/2606.27504"},"observation_digest":"sha256:78aaf684aede289ba0597bac15c54dfbbae57196f9afbed78a545da31776fb03","observation_id":"44c1b504-bba6-4485-a0b8-5d631976042e","resolution":{"observed_at":"2026-07-01T18:25:58.452771Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.15672","last_updated":"2025-02-21T18:56:02Z","snapshot_observed_at":"2026-08-20T03:36:27.977218Z","submitted_at":"2025-02-21T18:56:02Z","title":"VaViM and VaVAM: Autonomous Driving through Video Generative Modeling","version":1},"cited_work":{"arxiv_id":"2502.15672","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.15672","snapshot_observed_at":"2026-07-07T15:43:53.822146Z","title":"Vavim and vavam: Autonomous driving through video generative modeling","venue":"cs.CV","work_id":"b75ea66d-dafb-43ec-9345-f50eb3d615e2","year":2025},"citing_paper":{"arxiv_id":"2607.05352","last_updated":"2026-07-06T17:31:52Z","snapshot_observed_at":"2026-08-23T11:20:21.534745Z","submitted_at":"2026-07-06T17:31:52Z","title":"Multiplayer Interactive World Models with Representation Autoencoders","version":1},"reference_index":171,"source":"arxiv_source","source_observed_at":"2026-07-07T15:38:36.897705Z"},"links":{"cited_paper":"/paper/2502.15672","citing_paper":"/paper/2607.05352"},"observation_digest":"sha256:218dedec7391e787bd13d757d2685b65cb101495c8e6eda91c7f04b645ff2187","observation_id":"ff6a075e-c081-4139-ad56-7bff0a1dea61","resolution":{"observed_at":"2026-07-07T15:43:53.823503Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.15672","last_updated":"2025-02-21T18:56:02Z","snapshot_observed_at":"2026-08-20T03:36:27.977218Z","submitted_at":"2025-02-21T18:56:02Z","title":"VaViM and VaVAM: Autonomous Driving through Video Generative Modeling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.15672","snapshot_observed_at":"2026-08-02T02:55:48.680090Z","title":"VaViM and VaVAM: Autonomous driving through video generative modeling.arXiv preprint arXiv:2502.15672, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.14203","last_updated":"2026-07-15T17:50:23Z","snapshot_observed_at":"2026-08-12T14:08:45.573464Z","submitted_at":"2026-07-15T17:50:23Z","title":"Instant NuRec: Feed-Forward 3D Gaussian Reconstruction for Driving Scene Simulation","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-02T02:55:48.680090Z"},"links":{"cited_paper":"/paper/2502.15672","citing_paper":"/paper/2607.14203"},"observation_digest":"sha256:099bc92595348104bd16bc3541767d2282169c83bcbbfea392ef76ef454c8526","observation_id":"da15717e-800f-48ba-a027-cb2082b60a19","resolution":{"observed_at":"2026-08-02T02:55:48.680090Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.15672","last_updated":"2025-02-21T18:56:02Z","snapshot_observed_at":"2026-08-20T03:36:27.977218Z","submitted_at":"2025-02-21T18:56:02Z","title":"VaViM and VaVAM: Autonomous Driving through Video Generative Modeling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.15672","snapshot_observed_at":"2026-08-03T00:36:43.229581Z","title":"Vavim and vavam: Autonomous driving through video generative modeling.arXiv preprint arXiv:2502.15672, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.28737","last_updated":"2026-07-30T18:00:31Z","snapshot_observed_at":"2026-08-18T18:27:12.580684Z","submitted_at":"2026-07-30T18:00:31Z","title":"Mirror Learning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-03T00:36:43.229581Z"},"links":{"cited_paper":"/paper/2502.15672","citing_paper":"/paper/2607.28737"},"observation_digest":"sha256:286d093063bab826d3922937f826c22736a041171cdb92e09e942c31277d6e1e","observation_id":"00e38f09-7224-4b07-8111-06e31b38bb7c","resolution":{"observed_at":"2026-08-03T00:36:43.229581Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.15672","last_updated":"2025-02-21T18:56:02Z","snapshot_observed_at":"2026-08-20T03:36:27.977218Z","submitted_at":"2025-02-21T18:56:02Z","title":"VaViM and VaVAM: Autonomous Driving through Video Generative Modeling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.15672","snapshot_observed_at":"2026-08-07T18:25:51.309965Z","title":"Caesar, H.; Bankiti, V.; Lang, A","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.06008","last_updated":"2026-08-06T13:13:07Z","snapshot_observed_at":"2026-08-13T19:00:22.125095Z","submitted_at":"2026-08-06T13:13:07Z","title":"Adaptive-WAM: Quality-Guided Early-Exit Planning from Intermediate Video-Diffusion Features","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-07T18:25:51.309965Z"},"links":{"cited_paper":"/paper/2502.15672","citing_paper":"/paper/2608.06008"},"observation_digest":"sha256:2b6738422f350c037844b5aeb66739ef6f8e025c9acd431645e4d387ac28c691","observation_id":"06c079b5-8d4b-461f-99cd-a960adf1d6c0","resolution":{"observed_at":"2026-08-07T18:25:51.309965Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2502.15672/citation-record","integrity":"/paper/2502.15672/integrity","json":"/paper/2502.15672/citation-record.json","paper":"/paper/2502.15672"},"outbound":[],"paper":{"arxiv_id":"2502.15672","last_updated":"2025-02-21T18:56:02Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-20T03:36:27.977218Z","submitted_at":"2025-02-21T18:56:02Z","title":"VaViM and VaVAM: Autonomous Driving through Video Generative Modeling"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 inbound Pith citation observations for arXiv:2502.15672."}