{"as_of":"2026-08-09T20:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:517fe3149888c9e671a9118bb9c2e8bc7efca7ceee68ed9737e21ec7e16decb0","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":15,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":15,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":15,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":15,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:47:15.618860Z","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":"2026-05-18T03:00:48.147333Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.00959","last_updated":"2024-07-01T04:34:50Z","snapshot_observed_at":"2026-07-06T18:39:20.664293Z","submitted_at":"2024-07-01T04:34:50Z","title":"Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.00959","snapshot_observed_at":"2026-08-07T13:47:15.618860Z","title":"Tokenize the world into object-level knowledge to address long-tail events in autonomous driving.arXiv preprint arXiv:2407.00959, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.21581","last_updated":"2026-06-25T02:34:38Z","snapshot_observed_at":"2026-08-08T23:13:45.481575Z","submitted_at":"2025-05-27T09:58:43Z","title":"CogAD: Cognitive-Hierarchy Guided End-to-End Autonomous Driving","version":4},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T13:47:15.618860Z"},"links":{"cited_paper":"/paper/2407.00959","citing_paper":"/paper/2505.21581"},"observation_digest":"sha256:5b32ce51795f16975adb1ed6ea5b0b037f70c99388145388fca831893a9e92aa","observation_id":"a48b6272-1814-4d61-89e8-cb5581b1cd7d","resolution":{"observed_at":"2026-08-07T13:47:15.618860Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.00959","last_updated":"2024-07-01T04:34:50Z","snapshot_observed_at":"2026-07-06T18:39:20.664293Z","submitted_at":"2024-07-01T04:34:50Z","title":"Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.00959","snapshot_observed_at":"2026-08-07T05:26:59.211513Z","title":"Tokenize the world into object-level knowledge to address long-tail events in autonomous driving.arXiv preprint arXiv:2407.00959, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.08005","last_updated":"2025-06-09T17:59:51Z","snapshot_observed_at":"2026-08-07T05:18:07.539978Z","submitted_at":"2025-06-09T17:59:51Z","title":"ZeroVO: Visual Odometry with Minimal Assumptions","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-07T05:26:59.211513Z"},"links":{"cited_paper":"/paper/2407.00959","citing_paper":"/paper/2506.08005"},"observation_digest":"sha256:63df96415912b3fe0d5bdb2e644a5943d2b09cea742146ad1ce198d694946aac","observation_id":"58afaf7b-3bba-43bb-a8f4-de1681eb3256","resolution":{"observed_at":"2026-08-07T05:26:59.211513Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.00959","last_updated":"2024-07-01T04:34:50Z","snapshot_observed_at":"2026-07-06T18:39:20.664293Z","submitted_at":"2024-07-01T04:34:50Z","title":"Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.00959","snapshot_observed_at":"2026-08-07T04:40:59.793901Z","title":"Tokenize the world into object-level knowledge to address long-tail events in autonomous driving","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.10145","last_updated":"2026-06-04T05:42:29Z","snapshot_observed_at":"2026-08-07T04:30:52.642430Z","submitted_at":"2025-06-11T19:50:23Z","title":"RoCA: Robust Cross-Domain End-to-End Autonomous Driving","version":3},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-07T04:40:59.793901Z"},"links":{"cited_paper":"/paper/2407.00959","citing_paper":"/paper/2506.10145"},"observation_digest":"sha256:7ef0d641725006f4229b443d631c15bd30f3e28414727963cba4370c1e862e06","observation_id":"d1d85e7c-c101-43f5-80d6-297648854d35","resolution":{"observed_at":"2026-08-07T04:40:59.793901Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.00959","last_updated":"2024-07-01T04:34:50Z","snapshot_observed_at":"2026-07-06T18:39:20.664293Z","submitted_at":"2024-07-01T04:34:50Z","title":"Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving","version":1},"cited_work":{"arxiv_id":"2407.00959","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.00959","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Tokenize the world into object-level knowledge to address long-tail events in autonomous driving","venue":null,"work_id":"8016cd87-2630-47e9-a574-e813b4294b7e","year":2024},"citing_paper":{"arxiv_id":"2506.13757","last_updated":"2025-11-05T23:46:20Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-06-16T17:58:50Z","title":"AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning","version":3},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-05-14T21:46:43.955825Z"},"links":{"cited_paper":"/paper/2407.00959","citing_paper":"/paper/2506.13757"},"observation_digest":"sha256:d06784e44ba7e68009a3256e78f4c1060aa753552f06b38250d2abaf52fc875f","observation_id":"64b00264-919b-431d-af25-3d02d058be4f","resolution":{"observed_at":"2026-05-14T21:46:44.147732Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.00959","last_updated":"2024-07-01T04:34:50Z","snapshot_observed_at":"2026-07-06T18:39:20.664293Z","submitted_at":"2024-07-01T04:34:50Z","title":"Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.00959","snapshot_observed_at":"2026-08-06T22:40:47.787448Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.21041","last_updated":"2025-07-04T17:25:14Z","snapshot_observed_at":"2026-08-08T16:24:33.273855Z","submitted_at":"2025-06-26T06:42:03Z","title":"SEAL: Vision-Language Model-Based Safe End-to-End Cooperative Autonomous Driving with Adaptive Long-Tail Modeling","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:47.787448Z"},"links":{"cited_paper":"/paper/2407.00959","citing_paper":"/paper/2506.21041"},"observation_digest":"sha256:adcbccef241ffa0b9f6b61a877f276ec647658b11e83d45b4b68e3bc0367ab64","observation_id":"a9ccdc26-e61b-4987-9153-af437198151c","resolution":{"observed_at":"2026-08-06T22:40:47.787448Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.00959","last_updated":"2024-07-01T04:34:50Z","snapshot_observed_at":"2026-07-06T18:39:20.664293Z","submitted_at":"2024-07-01T04:34:50Z","title":"Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.00959","snapshot_observed_at":"2026-08-06T21:31:04.734583Z","title":"Tokenize the world into object-level knowledge to address long-tail events in autonomous driving","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.24044","last_updated":"2025-06-30T16:50:02Z","snapshot_observed_at":"2026-08-07T14:33:37.793120Z","submitted_at":"2025-06-30T16:50:02Z","title":"A Survey on Vision-Language-Action Models for Autonomous Driving","version":1},"reference_index":118,"source":"pdf_text","source_observed_at":"2026-08-06T21:31:04.734583Z"},"links":{"cited_paper":"/paper/2407.00959","citing_paper":"/paper/2506.24044"},"observation_digest":"sha256:a95a8b33446e508fd59e23256d5ae957627ac40e015d207f14711386e4d292fb","observation_id":"e137ab1a-9a32-4885-b840-9e4ce1c8f8e9","resolution":{"observed_at":"2026-08-06T21:31:04.734583Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.00959","last_updated":"2024-07-01T04:34:50Z","snapshot_observed_at":"2026-07-06T18:39:20.664293Z","submitted_at":"2024-07-01T04:34:50Z","title":"Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.00959","snapshot_observed_at":"2026-08-06T21:19:30.946025Z","title":"Tokenize the world into object-level knowledge to address long-tail events in autonomous driving","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00603","last_updated":"2025-07-01T09:36:38Z","snapshot_observed_at":"2026-08-09T10:30:16.515790Z","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":34,"source":"pdf_text","source_observed_at":"2026-08-06T21:19:30.946025Z"},"links":{"cited_paper":"/paper/2407.00959","citing_paper":"/paper/2507.00603"},"observation_digest":"sha256:24cf8fd81053810d7fc2ae22ec4c637be10df0e21d319aa1d7822f3d390c702c","observation_id":"b3e99cc9-d179-489f-bba1-2a693627bbfe","resolution":{"observed_at":"2026-08-06T21:19:30.946025Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.00959","last_updated":"2024-07-01T04:34:50Z","snapshot_observed_at":"2026-07-06T18:39:20.664293Z","submitted_at":"2024-07-01T04:34:50Z","title":"Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.00959","snapshot_observed_at":"2026-08-06T17:34:05.773718Z","title":"Tokenize the world into object-level knowledge to address long-tail events in autonomous driving,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.10749","last_updated":"2025-07-14T19:16:13Z","snapshot_observed_at":"2026-08-09T09:40:07.554885Z","submitted_at":"2025-07-14T19:16:13Z","title":"RCG: Safety-Critical Scenario Generation for Robust Autonomous Driving via Real-World Crash Grounding","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T17:34:05.773718Z"},"links":{"cited_paper":"/paper/2407.00959","citing_paper":"/paper/2507.10749"},"observation_digest":"sha256:a4a4bf224d4afef8aba35bcce81793a4100fdab78322bff4a51c4fb8b37eec32","observation_id":"83e55ae1-0635-4c74-b000-df6125d03a03","resolution":{"observed_at":"2026-08-06T17:34:05.773718Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.00959","last_updated":"2024-07-01T04:34:50Z","snapshot_observed_at":"2026-07-06T18:39:20.664293Z","submitted_at":"2024-07-01T04:34:50Z","title":"Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.00959","snapshot_observed_at":"2026-08-06T17:04:50.147570Z","title":"Tokenize the world into object-level knowledge to address long-tail events in autonomous driving","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.12499","last_updated":"2025-07-16T02:23:24Z","snapshot_observed_at":"2026-08-07T01:44:15.835901Z","submitted_at":"2025-07-16T02:23:24Z","title":"ReAL-AD: Towards Human-Like Reasoning in End-to-End Autonomous Driving","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T17:04:50.147570Z"},"links":{"cited_paper":"/paper/2407.00959","citing_paper":"/paper/2507.12499"},"observation_digest":"sha256:fb56d224ad77e06a51d91d1ef1400602eae24b965a0b3954bda2facd1d2eb9b8","observation_id":"d48c2c8a-1301-49e7-968a-9a613173c0ae","resolution":{"observed_at":"2026-08-06T17:04:50.147570Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.00959","last_updated":"2024-07-01T04:34:50Z","snapshot_observed_at":"2026-07-06T18:39:20.664293Z","submitted_at":"2024-07-01T04:34:50Z","title":"Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.00959","snapshot_observed_at":"2026-08-05T13:58:11.050868Z","title":"Tokenize the world into object-level knowledge to address long-tail events in autonomous driving","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.21824","last_updated":"2025-08-29T17:59:53Z","snapshot_observed_at":"2026-08-05T13:58:03.024516Z","submitted_at":"2025-08-29T17:59:53Z","title":"DriveQA: Passing the Driving Knowledge Test","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-05T13:58:11.050868Z"},"links":{"cited_paper":"/paper/2407.00959","citing_paper":"/paper/2508.21824"},"observation_digest":"sha256:d963fa426894797259c5c854fbf158f7e940dbf58b8c5143715747ce920edbe0","observation_id":"ab51fd68-f1e7-46fc-926e-310b7fdaf1f1","resolution":{"observed_at":"2026-08-05T13:58:11.050868Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.00959","last_updated":"2024-07-01T04:34:50Z","snapshot_observed_at":"2026-07-06T18:39:20.664293Z","submitted_at":"2024-07-01T04:34:50Z","title":"Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.00959","snapshot_observed_at":"2026-08-04T19:19:25.582674Z","title":"Tokenize the world into object-level knowledge to address long-tail events in autonomous driving,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.10570","last_updated":"2025-09-11T10:30:06Z","snapshot_observed_at":"2026-08-09T17:39:56.182010Z","submitted_at":"2025-09-11T10:30:06Z","title":"Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-04T19:19:25.582674Z"},"links":{"cited_paper":"/paper/2407.00959","citing_paper":"/paper/2509.10570"},"observation_digest":"sha256:a85e8658c67257a98f76e57b453055ebb3c0a872c95270d9060ff1a322c4b10e","observation_id":"2ddf4100-317d-4906-8c86-395f3bd4d1be","resolution":{"observed_at":"2026-08-04T19:19:25.582674Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.00959","last_updated":"2024-07-01T04:34:50Z","snapshot_observed_at":"2026-07-06T18:39:20.664293Z","submitted_at":"2024-07-01T04:34:50Z","title":"Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving","version":1},"cited_work":{"arxiv_id":"2407.00959","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.00959","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Tokenize the world into object-level knowledge to address long-tail events in autonomous driving","venue":null,"work_id":"8016cd87-2630-47e9-a574-e813b4294b7e","year":2024},"citing_paper":{"arxiv_id":"2510.26641","last_updated":"2026-04-09T21:40:47Z","snapshot_observed_at":"2026-08-08T03:16:54.078331Z","submitted_at":"2025-10-30T16:08:25Z","title":"All You Need for Object Detection: From Pixels, Points, and Prompts to Next-Gen Fusion and Multimodal LLMs/VLMs in Autonomous Vehicles","version":4},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-05-18T02:59:09.920153Z"},"links":{"cited_paper":"/paper/2407.00959","citing_paper":"/paper/2510.26641"},"observation_digest":"sha256:65b784605a017ced2cd2d6a9d0b716823205a28a333261d62fc733588b4abd08","observation_id":"539ec2d6-aa7e-41d2-b193-4f765a738c95","resolution":{"observed_at":"2026-05-18T03:00:48.150606Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.00959","last_updated":"2024-07-01T04:34:50Z","snapshot_observed_at":"2026-07-06T18:39:20.664293Z","submitted_at":"2024-07-01T04:34:50Z","title":"Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving","version":1},"cited_work":{"arxiv_id":"2407.00959","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.00959","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Tokenize the world into object-level knowledge to address long-tail events in autonomous driving","venue":null,"work_id":"8016cd87-2630-47e9-a574-e813b4294b7e","year":2024},"citing_paper":{"arxiv_id":"2604.04573","last_updated":"2026-04-06T10:09:24Z","snapshot_observed_at":"2026-07-06T22:53:33.177713Z","submitted_at":"2026-04-06T10:09:24Z","title":"SAIL: Scene-aware Adaptive Iterative Learning for Long-Tail Trajectory Prediction in Autonomous Vehicles","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-10T19:31:42.519478Z"},"links":{"cited_paper":"/paper/2407.00959","citing_paper":"/paper/2604.04573"},"observation_digest":"sha256:068d174bd497bad160cc5c31eb4347eeadb1a6a822792330d1de8282a6cfe39d","observation_id":"621fa7a1-cda4-47b1-8025-961b17f10154","resolution":{"observed_at":"2026-05-10T22:50:50.863811Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.00959","last_updated":"2024-07-01T04:34:50Z","snapshot_observed_at":"2026-07-06T18:39:20.664293Z","submitted_at":"2024-07-01T04:34:50Z","title":"Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving","version":1},"cited_work":{"arxiv_id":"2407.00959","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.00959","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Tokenize the world into object-level knowledge to address long-tail events in autonomous driving","venue":null,"work_id":"8016cd87-2630-47e9-a574-e813b4294b7e","year":2024},"citing_paper":{"arxiv_id":"2605.10564","last_updated":"2026-05-11T13:36:51Z","snapshot_observed_at":"2026-08-09T11:02:22.415972Z","submitted_at":"2026-05-11T13:36:51Z","title":"DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving","version":1},"reference_index":102,"source":"arxiv_source","source_observed_at":"2026-05-12T04:13:37.421188Z"},"links":{"cited_paper":"/paper/2407.00959","citing_paper":"/paper/2605.10564"},"observation_digest":"sha256:b4d161086c9537fd73aaac60c078117936a18c55519acc21aa3e1e1868b84dc0","observation_id":"76f73ccd-6671-43f6-a57b-43b13b03ec15","resolution":{"observed_at":"2026-05-12T06:31:26.236731Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.00959","last_updated":"2024-07-01T04:34:50Z","snapshot_observed_at":"2026-07-06T18:39:20.664293Z","submitted_at":"2024-07-01T04:34:50Z","title":"Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.00959","snapshot_observed_at":"2026-07-13T01:26:27.220907Z","title":"Tokenize the world into object-level knowledge to address long-tail events in autonomous driving.arXiv preprint arXiv:2407.00959,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.09655","last_updated":"2026-07-10T17:54:14Z","snapshot_observed_at":"2026-08-07T13:41:10.157141Z","submitted_at":"2026-07-10T17:54:14Z","title":"OpenLongTail: Generative Scaling of Long-Tail Driving Data","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-13T01:26:27.220907Z"},"links":{"cited_paper":"/paper/2407.00959","citing_paper":"/paper/2607.09655"},"observation_digest":"sha256:7214d4d3803d992d3e8849815adfcbc14b0fa1a5aa9c4c02bc4f23d08edf75d4","observation_id":"3db044b7-6f50-44f6-8319-adeabb5178ea","resolution":{"observed_at":"2026-07-13T01:26:27.220907Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2407.00959/citation-record","integrity":"/paper/2407.00959/integrity","json":"/paper/2407.00959/citation-record.json","paper":"/paper/2407.00959"},"outbound":[],"paper":{"arxiv_id":"2407.00959","last_updated":"2024-07-01T04:34:50Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-07-06T18:39:20.664293Z","submitted_at":"2024-07-01T04:34:50Z","title":"Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2407.00959."}