{"as_of":"2026-08-07T22:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4e08ccd8504729fe2e0e2a367c6ac49647a3bcef84da328388d2b128552b693a","coverage":[{"denominator":119,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T00:41:01.451450Z","state":"measured"},{"denominator":100,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":100,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2608.01035/citation-record","integrity":"/paper/2608.01035/integrity","json":"/paper/2608.01035/citation-record.json","paper":"/paper/2608.01035"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.23262","last_updated":"2025-09-23T04:19:59Z","snapshot_observed_at":"2026-08-05T06:31:46.069300Z","submitted_at":"2024-10-30T17:46:31Z","title":"EMMA: End-to-End Multimodal Model for Autonomous Driving","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.23262","snapshot_observed_at":"2026-08-06T00:40:51.534192Z","title":"arXiv preprint arXiv:2410.23262 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:51.534192Z"},"links":{"cited_paper":"/paper/2410.23262","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:80066449f39d64880092720c1cba54500f49a309e674f1bb76737a1a2e447a07","observation_id":"3a8b3839-d6c9-4be1-a941-568ad19e1e7a","resolution":{"observed_at":"2026-08-06T00:40:51.534192Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.19755","last_updated":"2025-03-25T15:18:43Z","snapshot_observed_at":"2026-08-05T21:57:39.132989Z","submitted_at":"2025-03-25T15:18:43Z","title":"ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.19755","snapshot_observed_at":"2026-08-06T00:40:51.607646Z","title":"arXiv preprint arXiv:2503.19755 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:51.607646Z"},"links":{"cited_paper":"/paper/2503.19755","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:ebc3dd1f853d94141f241a54ba73a9def0691ac0a3dbc0b77e223c9ced4bf4bb","observation_id":"b3240172-5cbd-411c-92b8-f7d0f6d061fd","resolution":{"observed_at":"2026-08-06T00:40:51.607646Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_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},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.13757","snapshot_observed_at":"2026-08-06T00:40:51.703300Z","title":"arXiv preprint arXiv:2506.13757 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:51.703300Z"},"links":{"cited_paper":"/paper/2506.13757","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:ce52708f9dec2252d699999de369b624bf26b99428a2e2f12fa024bb2fa88278","observation_id":"949dec7e-b9c7-48c5-9523-f3a1a4648ea4","resolution":{"observed_at":"2026-08-06T00:40:51.703300Z","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":"2026-08-06T00:40:51.800782Z","title":"arXiv preprint arXiv:2503.23463 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:51.800782Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:047a444c1d0aa424a910e40a4c30f06c276cd6080a053e4346fb703e678543ac","observation_id":"ac0db1b9-4ed7-4a82-b588-a37d765a28bc","resolution":{"observed_at":"2026-08-06T00:40:51.800782Z","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":"2026-08-06T00:40:51.880086Z","title":"Proceedings of the Computer Vision and Pattern Recognition Conference , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:51.880086Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:db2f4c0f118946005d3191a735d459016139daf8c9dd497086aa9798ee5d234a","observation_id":"3598cebb-74cd-43f6-bf6b-f069704731c4","resolution":{"observed_at":"2026-08-06T00:40:51.880086Z","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":"2026-08-06T00:40:52.029403Z","title":"The Thirteenth International Conference on Learning Representations , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:52.029403Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:5d5329c11f841972e78b3ec8bc9de9dfeb35f7b79921ddaa9b2f60502fdf1e67","observation_id":"ed0a7c5e-c2d4-416b-8212-6028de4c6e87","resolution":{"observed_at":"2026-08-06T00:40:52.029403Z","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":"2026-08-06T00:40:52.116794Z","title":"arXiv preprint arXiv:2512.11872 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:52.116794Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:584d7c15d74e75490a377a72e73c3f45be323a524a008da3ed8cc63e37daff7f","observation_id":"6190b64a-688a-4e35-95aa-c7b11e797d93","resolution":{"observed_at":"2026-08-06T00:40:52.116794Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.09992","last_updated":"2025-10-18T15:35:05Z","snapshot_observed_at":"2026-08-04T04:34:22.998376Z","submitted_at":"2025-02-14T08:23:51Z","title":"Large Language Diffusion Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.09992","snapshot_observed_at":"2026-08-06T00:40:52.196614Z","title":"arXiv preprint arXiv:2502.09992 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:52.196614Z"},"links":{"cited_paper":"/paper/2502.09992","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:d3aca5a1cdb1c8a803eecbc516f1f4a785308a122ffc52bde4e4e66d28dbf182","observation_id":"1cbeee9a-410a-4f1e-b221-67df910127c4","resolution":{"observed_at":"2026-08-06T00:40:52.196614Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.16933","last_updated":"2025-06-04T05:52:10Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-05-22T17:23:26Z","title":"LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.16933","snapshot_observed_at":"2026-08-06T00:40:52.308647Z","title":"arXiv preprint arXiv:2505.16933 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:52.308647Z"},"links":{"cited_paper":"/paper/2505.16933","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:b336f86022d7fcfee083964447f2eb2822d2b9dd95cb7e9ab3a60bd1a4558103","observation_id":"1479906e-e069-4285-84e4-0955a62c6fc0","resolution":{"observed_at":"2026-08-06T00:40:52.308647Z","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":"2026-08-06T00:40:52.446694Z","title":"IEEE Robotics and Automation Letters , volume=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:52.446694Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:fea71af7d4364f6d92514f56ba31f3c6a6a4eb17a288c769baecf4fcf7be413b","observation_id":"e4b971df-b144-4317-b7ae-e4f4625af662","resolution":{"observed_at":"2026-08-06T00:40:52.446694Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.12289","last_updated":"2024-06-25T17:55:35Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-02-19T17:04:04Z","title":"DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.12289","snapshot_observed_at":"2026-08-06T00:40:52.558603Z","title":"arXiv preprint arXiv:2402.12289 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:52.558603Z"},"links":{"cited_paper":"/paper/2402.12289","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:30a853892f58e67e538d674982650b574c8fda7c0f1e5fbcd7103b31498c2abf","observation_id":"159f1f4a-dc9e-4d99-bcba-6d3ae955aa8a","resolution":{"observed_at":"2026-08-06T00:40:52.558603Z","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":"2026-08-06T00:40:52.650720Z","title":"European conference on computer vision , pages=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:52.650720Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:86ac790323dc928aeb6a419b0595415b1c216b1aa7eab4b4818a27e51a55059c","observation_id":"a4825e24-fb56-4864-b9c8-e82210592b0b","resolution":{"observed_at":"2026-08-06T00:40:52.650720Z","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":"2026-08-06T00:40:52.741559Z","title":"arXiv preprint arXiv:2511.19221 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:52.741559Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:e47d5a346c360a704c98dd118110269c134a6c7f845af03cfc261323f54eb732","observation_id":"d5beddd5-6a4d-45b3-86aa-e541a6dd0a02","resolution":{"observed_at":"2026-08-06T00:40:52.741559Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.16278","last_updated":"2026-05-18T09:58:49Z","snapshot_observed_at":"2026-08-01T11:49:26.764186Z","submitted_at":"2025-05-22T06:23:04Z","title":"DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.16278","snapshot_observed_at":"2026-08-06T00:40:52.825314Z","title":"arXiv preprint arXiv:2505.16278 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:52.825314Z"},"links":{"cited_paper":"/paper/2505.16278","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:71f3bfd726a80ac5afe7f4ca9cecf5fd731cc837d1a681659e1df0bada1486e5","observation_id":"12a12eaa-be0b-4829-a30f-7e4cd8f624e2","resolution":{"observed_at":"2026-08-06T00:40:52.825314Z","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":"2026-08-06T00:40:52.941118Z","title":"arXiv preprint arXiv:2604.02190 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:52.941118Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:9a4c35fffe395b2deb2ebdedfcfc036d45dd05429484f495c38969f394d7aa6a","observation_id":"8e5a07d6-6788-4227-846f-3b32f22fb7b3","resolution":{"observed_at":"2026-08-06T00:40:52.941118Z","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":"2026-08-06T00:40:53.074408Z","title":"Advances in neural information processing systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:53.074408Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:c9b88958565a23cb94e5fbd648ae94d7502d4fad15605771f45040cf035ad7c3","observation_id":"65e3a964-8bf5-4361-9fe3-91e894220d5a","resolution":{"observed_at":"2026-08-06T00:40:53.074408Z","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":"2026-08-06T00:40:53.168484Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:53.168484Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:87de69ed03654bd648ff371ce7fc000ffe5be076938086441f8d759a4ccf2583","observation_id":"4fc6a94f-34d8-4ac6-a533-a3f1a53a3104","resolution":{"observed_at":"2026-08-06T00:40:53.168484Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.16834","last_updated":"2024-06-06T21:06:44Z","snapshot_observed_at":"2026-07-06T16:38:29.188225Z","submitted_at":"2023-10-25T17:59:12Z","title":"Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.16834","snapshot_observed_at":"2026-08-06T00:40:53.256784Z","title":"arXiv preprint arXiv:2310.16834 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:53.256784Z"},"links":{"cited_paper":"/paper/2310.16834","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:c50ccdf30056daeaac9440ac0c686fccea5e98a165ba29e3780657f104300100","observation_id":"78adb958-df23-4671-9c72-7dd6f1f21a8c","resolution":{"observed_at":"2026-08-06T00:40:53.256784Z","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":"2026-08-06T00:40:53.351032Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:53.351032Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:bd5b9eef3adae716148c326e7ccfe87dcf582091fba8d911610f8cb87fa15db5","observation_id":"aaa3eee6-d3fa-4a4c-a918-bcbedfcae1d9","resolution":{"observed_at":"2026-08-06T00:40:53.351032Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.15487","last_updated":"2025-08-21T12:09:58Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-08-21T12:09:58Z","title":"Dream 7B: Diffusion Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.15487","snapshot_observed_at":"2026-08-06T00:40:53.453226Z","title":"arXiv preprint arXiv:2508.15487 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:53.453226Z"},"links":{"cited_paper":"/paper/2508.15487","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:265ccb45f10dd6ebb5acbade14e6ac4b6cf44022192e5228f791571f549cb408","observation_id":"b2a3e430-c1ad-4fcf-9d72-90a2100710a7","resolution":{"observed_at":"2026-08-06T00:40:53.453226Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.15809","last_updated":"2025-09-25T02:40:45Z","snapshot_observed_at":"2026-08-05T05:27:10.277230Z","submitted_at":"2025-05-21T17:59:05Z","title":"MMaDA: Multimodal Large Diffusion Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.15809","snapshot_observed_at":"2026-08-06T00:40:53.514828Z","title":"arXiv preprint arXiv:2505.15809 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:53.514828Z"},"links":{"cited_paper":"/paper/2505.15809","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:a07bdf12cd7d017cb43e422d9b487a0b525d0adec9a4d91597e139000c5ee548","observation_id":"e3c905e1-5db2-4bab-8995-c5d3b1bad9c7","resolution":{"observed_at":"2026-08-06T00:40:53.514828Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.12603","last_updated":"2025-08-18T04:01:56Z","snapshot_observed_at":"2026-08-05T19:22:37.512861Z","submitted_at":"2025-08-18T04:01:56Z","title":"ViLaD: A Large Vision Language Diffusion Framework for End-to-End Autonomous Driving","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.12603","snapshot_observed_at":"2026-08-06T00:40:53.581229Z","title":"arXiv preprint arXiv:2508.12603 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:53.581229Z"},"links":{"cited_paper":"/paper/2508.12603","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:da9dc4609a5482d0928b70be4d1a82c2165d78ed896a4b9104b597f4e0843ae7","observation_id":"4bd99c2f-8510-436b-84a9-38936027b707","resolution":{"observed_at":"2026-08-06T00:40:53.581229Z","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":"2026-08-06T00:40:53.673485Z","title":"arXiv preprint arXiv:2509.20109 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:53.673485Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:7a2f9cddf0879bbcb69ec99db4d543fb4ca7c9a9408a24d497e2b9359ef9e033","observation_id":"ef843107-f570-4963-b89b-68a64d69e5dc","resolution":{"observed_at":"2026-08-06T00:40:53.673485Z","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":"2026-08-06T00:40:53.761160Z","title":"arXiv preprint arXiv:2602.14577 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:53.761160Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:a3b76c72fe5cc3f0ee8a9caabd6d6b26e68e82508754680997cbdc24771cb03d","observation_id":"aa46b91c-3511-4aeb-891b-af4e94591291","resolution":{"observed_at":"2026-08-06T00:40:53.761160Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.08543","last_updated":"2026-01-31T09:16:35Z","snapshot_observed_at":"2026-08-02T20:03:32.798288Z","submitted_at":"2023-06-14T14:44:03Z","title":"MiniLLM: On-Policy Distillation of Large Language Models","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.08543","snapshot_observed_at":"2026-08-06T00:40:53.862518Z","title":"arXiv preprint arXiv:2306.08543 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:53.862518Z"},"links":{"cited_paper":"/paper/2306.08543","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:ca63b27563c35822d73976971069a24def9d4334ce55750ca8ee584b6ea41023","observation_id":"3124ec0b-5f9d-4993-92d5-7c0d05baf32a","resolution":{"observed_at":"2026-08-06T00:40:53.862518Z","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":"2026-08-06T00:40:53.969655Z","title":"The twelfth international conference on learning representations , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:53.969655Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:3452e65e7078932239bbdb2fe5de8b54adfe8313c99a34cafa8030d60cc0e109","observation_id":"54d8c2b3-2b46-44ff-b09a-91cdbc7a466b","resolution":{"observed_at":"2026-08-06T00:40:53.969655Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.13016","last_updated":"2026-04-15T17:48:51Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-14T17:54:28Z","title":"Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.13016","snapshot_observed_at":"2026-08-06T00:40:54.093138Z","title":"arXiv preprint arXiv:2604.13016 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:54.093138Z"},"links":{"cited_paper":"/paper/2604.13016","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:5840abbeb5603f79d1987a9a5721d3f9d8b81830912cdfe544709d66a7e9dba4","observation_id":"ec2fc2fe-f2af-4385-933a-228db9b5e8d4","resolution":{"observed_at":"2026-08-06T00:40:54.093138Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.07944","last_updated":"2026-04-09T08:06:19Z","snapshot_observed_at":"2026-08-03T01:28:21.257030Z","submitted_at":"2026-04-09T08:06:19Z","title":"On-Policy Distillation of Language Models for Autonomous Vehicle Motion Planning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.07944","snapshot_observed_at":"2026-08-06T00:40:54.189578Z","title":"arXiv preprint arXiv:2604.07944 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:54.189578Z"},"links":{"cited_paper":"/paper/2604.07944","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:daca09816a4e201838d65e200c423a81aa23399052c7fe883dd59192d008219e","observation_id":"60b14891-2cb1-4cfe-a205-0d8b4bb7b556","resolution":{"observed_at":"2026-08-06T00:40:54.189578Z","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":"2026-08-06T00:40:54.275529Z","title":"Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:54.275529Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:16cb893fe7a432ab43c6b932912edb60142a03d898cb84af64cafc87a4969f98","observation_id":"0c2db58f-b558-40ba-8c15-43fbd1066dcf","resolution":{"observed_at":"2026-08-06T00:40:54.275529Z","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":"2026-08-06T00:40:54.393189Z","title":"European Conference on Computer Vision , pages=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:54.393189Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:ccf3b3b702b31b4fe994d6d42b8be5a5e239515623903040719f315922632ac4","observation_id":"2a4ca237-9d9e-4c1b-bfd4-816b43bac1ea","resolution":{"observed_at":"2026-08-06T00:40:54.393189Z","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":"2026-08-06T00:40:54.452042Z","title":"Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:54.452042Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:0e568136d9de492d947b306a44d6b0c45a8c1ddddcae2502345bf7b0d79b94dd","observation_id":"c55cff88-da86-408d-b844-cc09a42da349","resolution":{"observed_at":"2026-08-06T00:40:54.452042Z","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":"2026-08-06T00:40:54.535403Z","title":"European conference on computer vision , pages=","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:54.535403Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:a369a34766c6521c5fc9ae55f63e816b3eadda753c7a71b88144da267b467860","observation_id":"1c980617-9e1a-4905-9bfe-b1200cea0562","resolution":{"observed_at":"2026-08-06T00:40:54.535403Z","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":"2026-08-06T00:40:54.633160Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:54.633160Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:765d86a14151114562c69011925e5dfd9bd72894df86d4a916439a8cfb292abb","observation_id":"f17d869c-fedf-46b7-84a5-1bb665aaa222","resolution":{"observed_at":"2026-08-06T00:40:54.633160Z","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":"2026-08-06T00:40:54.694206Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:54.694206Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:6952cabb9e7b6e318386464addd97bf55027840cad67de6ac367786801266be1","observation_id":"4d27a640-5573-4622-98df-0e7447256771","resolution":{"observed_at":"2026-08-06T00:40:54.694206Z","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":"2026-08-06T00:40:54.758906Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:54.758906Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:1422a332dbfc9bc911f86235fbe71780f07147ec3948411ad5ef46bc0f01b73f","observation_id":"3a801850-4e84-4752-8a55-fb0d10f0d073","resolution":{"observed_at":"2026-08-06T00:40:54.758906Z","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":"2026-08-06T00:40:54.924920Z","title":"Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:54.924920Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:45178ebf81ec533a0f54467d17b5a5619ea8c7df4e683210d327bf1039ed3c50","observation_id":"09ba52a8-d86b-4297-843a-826ba1f47b19","resolution":{"observed_at":"2026-08-06T00:40:54.924920Z","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":"2026-08-06T00:40:55.055195Z","title":"Advances in neural information processing systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:55.055195Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:571346a5c86c8046b3b7ac45e83beb15864b8253878b7a4d314898d50323aaf7","observation_id":"fbcdd3b6-7fe7-4d80-8650-5d42fde38cac","resolution":{"observed_at":"2026-08-06T00:40:55.055195Z","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":"2026-08-06T00:40:55.196255Z","title":"Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:55.196255Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:becceec72e2025aa0bd9b6695dd304ac1aa10e64a5a9bff0c33be48d5b0fd4e3","observation_id":"c2778eea-baf1-49e9-9c89-9502601b66fa","resolution":{"observed_at":"2026-08-06T00:40:55.196255Z","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":"2026-08-06T00:40:55.319523Z","title":"arXiv preprint arXiv:2512.16760 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:55.319523Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:a423eb4b635a2cf78154aaaef45b33344459658b31b936ef8bc81dab76807eea","observation_id":"753de6cd-d421-4a64-b597-4ef6311bf0b2","resolution":{"observed_at":"2026-08-06T00:40:55.319523Z","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":"2026-08-06T00:40:55.464696Z","title":"European Conference on Computer Vision , pages=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:55.464696Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:b551efadd88d57dd58e3bec686d3e1a4d8c1fb5dd5ecba001c13086d7a91b966","observation_id":"13360130-42f8-45a4-90b4-8c0ee87bf584","resolution":{"observed_at":"2026-08-06T00:40:55.464696Z","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":"2026-08-06T00:40:55.617622Z","title":"European Conference on Computer Vision , pages=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:55.617622Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:5cd945ae9a57463fce184ffcd77f568a4c5d79b7a1f028430561207041201f31","observation_id":"1fed7317-a305-4388-a102-98317dbd0eb1","resolution":{"observed_at":"2026-08-06T00:40:55.617622Z","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":"2026-08-06T00:40:55.767595Z","title":"Proceedings of the computer vision and pattern recognition conference , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:55.767595Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:ce1834450f6e5124fab2f6c4ef2952c38ea7f76582c2187ae37488f87952bb0f","observation_id":"64ce75e3-0de4-4ff1-9c58-899f93c56aa4","resolution":{"observed_at":"2026-08-06T00:40:55.767595Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.01415","last_updated":"2023-12-05T05:26:29Z","snapshot_observed_at":"2026-07-06T16:26:38.284922Z","submitted_at":"2023-10-02T17:59:57Z","title":"GPT-Driver: Learning to Drive with GPT","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.01415","snapshot_observed_at":"2026-08-06T00:40:55.874031Z","title":"arXiv preprint arXiv:2310.01415 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:55.874031Z"},"links":{"cited_paper":"/paper/2310.01415","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:9f03f3c51b25aee7ceac20414cb604d73eaf67786fa3454f98dd2a50264fefe9","observation_id":"92fd98c9-483e-47e0-a71b-df8b9dd0d768","resolution":{"observed_at":"2026-08-06T00:40:55.874031Z","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":"2026-08-06T00:40:56.002027Z","title":"Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:56.002027Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:c25a081bac28511a558c47f67de13ad915d3297bf854aef87a20efc5d4eef24b","observation_id":"9d644f80-dc63-4c65-9e13-46138c073022","resolution":{"observed_at":"2026-08-06T00:40:56.002027Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.22313","last_updated":"2024-10-29T17:53:56Z","snapshot_observed_at":"2026-07-31T01:16:26.372370Z","submitted_at":"2024-10-29T17:53:56Z","title":"Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.22313","snapshot_observed_at":"2026-08-06T00:40:56.111278Z","title":"arXiv preprint arXiv:2410.22313 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:56.111278Z"},"links":{"cited_paper":"/paper/2410.22313","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:177bec65aba53a1451a02aa5c5bd1634949eafa40791d0015848b35e7a3894a4","observation_id":"b0c7b119-8dc4-4fc8-b15a-28c2afffb677","resolution":{"observed_at":"2026-08-06T00:40:56.111278Z","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":"2026-08-06T00:40:56.228757Z","title":"Proceedings of the Computer Vision and Pattern Recognition Conference , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:56.228757Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:33ba9f506e5e86ad423c014130d8a7dd33bf692f24d5f97cad91d1084250496f","observation_id":"4ee39647-8053-4a94-b98e-4e74f96931dc","resolution":{"observed_at":"2026-08-06T00:40:56.228757Z","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":"2026-08-06T00:40:56.344126Z","title":"Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:56.344126Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:b4131d11f57cfa72963871a2af233d0adf63751e7655f0e6a185d16ba6f7b4d1","observation_id":"adf0b336-3152-41c8-aa65-ef592526abc3","resolution":{"observed_at":"2026-08-06T00:40:56.344126Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_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},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2510.12796","snapshot_observed_at":"2026-08-06T00:40:56.430420Z","title":"arXiv preprint arXiv:2510.12796 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:56.430420Z"},"links":{"cited_paper":"/paper/2510.12796","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:87214c3241e8dadb1fbec1acb5315c9a5a70fbbdaaab191c401e9879b0f97a9d","observation_id":"6766f4db-3dce-4f85-bcd4-cb29fb00d1d2","resolution":{"observed_at":"2026-08-06T00:40:56.430420Z","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":"2026-08-06T00:40:56.526554Z","title":"Advances in neural information processing systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:56.526554Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:2774bf3a50d5b795faeeb4adb2825efed9b88c15ca00f47464d28e31e7072848","observation_id":"72a58ca9-9203-4d32-a14b-f68c3c9be49e","resolution":{"observed_at":"2026-08-06T00:40:56.526554Z","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":"2026-08-06T00:40:56.599490Z","title":"Advances in neural information processing systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:56.599490Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:806c9db7ef0dd9b013659e34711c26cebe57b76186e6c6009ecf5d5ab11195be","observation_id":"e6b1f1f8-49b3-4b27-b914-2c69a4026a54","resolution":{"observed_at":"2026-08-06T00:40:56.599490Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.08933","last_updated":"2023-02-14T06:45:49Z","snapshot_observed_at":"2026-07-06T14:06:34.310083Z","submitted_at":"2022-10-17T10:49:08Z","title":"DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.08933","snapshot_observed_at":"2026-08-06T00:40:56.694329Z","title":"arXiv preprint arXiv:2210.08933 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:56.694329Z"},"links":{"cited_paper":"/paper/2210.08933","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:dd2a5ac0c3c2e7f3cc809fb89bef91583fabcf87cf80ac0d24657387bf1467e5","observation_id":"a22d2a4c-bae7-4cd6-84bd-fe8af4871c8e","resolution":{"observed_at":"2026-08-06T00:40:56.694329Z","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":"2026-08-06T00:40:56.772022Z","title":"Advances in neural information processing systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:56.772022Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:9418e3f21c47275d457aa103d3b215b0d93b2f4896ef0f3b0a3e158d17b09e01","observation_id":"44bb57b9-a649-4c94-a526-a619a3586dd8","resolution":{"observed_at":"2026-08-06T00:40:56.772022Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.03736","last_updated":"2026-03-23T09:46:05Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-06-06T04:22:11Z","title":"Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.03736","snapshot_observed_at":"2026-08-06T00:40:56.857687Z","title":"arXiv preprint arXiv:2406.03736 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:56.857687Z"},"links":{"cited_paper":"/paper/2406.03736","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:bf26c3834afbd9b3b61dd13d3219f4dd0288b5b4966191577d271f6078a05eba","observation_id":"224c17da-ad57-4a9c-b065-9fe3a21a0c30","resolution":{"observed_at":"2026-08-06T00:40:56.857687Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.09573","last_updated":"2025-05-17T21:15:02Z","snapshot_observed_at":"2026-08-03T23:49:05.512328Z","submitted_at":"2025-03-12T17:43:40Z","title":"Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.09573","snapshot_observed_at":"2026-08-06T00:40:56.935203Z","title":"arXiv preprint arXiv:2503.09573 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:56.935203Z"},"links":{"cited_paper":"/paper/2503.09573","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:7f3ccd194a4f0ae6c9ece5ccc151949f677c742ff486f1e3f55e2b2251988baf","observation_id":"ee53dec2-a776-4abe-9b2a-638a2ea38f62","resolution":{"observed_at":"2026-08-06T00:40:56.935203Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.04482","last_updated":"2025-06-09T14:23:45Z","snapshot_observed_at":"2026-08-07T17:24:35.915580Z","submitted_at":"2025-03-06T14:30:55Z","title":"Generalized Interpolating Discrete Diffusion","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.04482","snapshot_observed_at":"2026-08-06T00:40:57.024391Z","title":"arXiv preprint arXiv:2503.04482 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:57.024391Z"},"links":{"cited_paper":"/paper/2503.04482","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:82670df1303694e31b8e4301ae8d30127ab21ad3b6f042f2168b969c0ca2d385","observation_id":"fc2f1038-e56b-4d9c-9721-5f1986413d38","resolution":{"observed_at":"2026-08-06T00:40:57.024391Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.15564","last_updated":"2025-02-09T16:37:09Z","snapshot_observed_at":"2026-08-02T07:56:14.673217Z","submitted_at":"2025-01-26T15:49:50Z","title":"Diffusion-Based Planning for Autonomous Driving with Flexible Guidance","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.15564","snapshot_observed_at":"2026-08-06T00:40:57.099350Z","title":"arXiv preprint arXiv:2501.15564 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:57.099350Z"},"links":{"cited_paper":"/paper/2501.15564","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:69ec3f0abc824e2ab3ff7c8fa1d30b279f4674795958779428e9b89e3678ea05","observation_id":"1f4acfc7-d8e7-484f-814f-48e94b660af7","resolution":{"observed_at":"2026-08-06T00:40:57.099350Z","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":"2602.20577","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:41:05.075791Z","title":"arXiv preprint arXiv:2602.20577 , year=","venue":null,"work_id":"46e06f78-89ea-448c-9fc0-37fd2823ffce","year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:57.184792Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:85f045e8e38ec6b3c8d350d6b77ea7ec1092799c05c6eeedf7881ee1695f2c55","observation_id":"6625f735-5e54-4937-9ed7-4999dcd38df3","resolution":{"observed_at":"2026-08-06T00:41:05.208914Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.20072","last_updated":"2026-05-31T15:50:43Z","snapshot_observed_at":"2026-08-05T15:11:00.360328Z","submitted_at":"2025-08-27T17:39:11Z","title":"Discrete Diffusion VLA: Bringing Discrete Diffusion to Action Decoding in Vision-Language-Action Policies","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.20072","snapshot_observed_at":"2026-08-06T00:40:57.295726Z","title":"arXiv preprint arXiv:2508.20072 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:57.295726Z"},"links":{"cited_paper":"/paper/2508.20072","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:f69cd8108d7cf4d7ee10f39764db5796e6be6529ce6b49a381dc034c6565ec63","observation_id":"18f30567-3fe9-4511-9fb7-bd172dcd16aa","resolution":{"observed_at":"2026-08-06T00:40:57.295726Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2509.06932","last_updated":"2025-09-10T14:34:25Z","snapshot_observed_at":"2026-08-07T11:30:34.307197Z","submitted_at":"2025-09-08T17:45:40Z","title":"LLaDA-VLA: Vision Language Diffusion Action Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2509.06932","snapshot_observed_at":"2026-08-06T00:40:57.389819Z","title":"arXiv preprint arXiv:2509.06932 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:57.389819Z"},"links":{"cited_paper":"/paper/2509.06932","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:05880fb49a84a4d909b4d355fdf2f534d582af7c089850fabd3b9fe8f05309e8","observation_id":"1e4549db-746d-45e5-9b47-f66c91c1b066","resolution":{"observed_at":"2026-08-06T00:40:57.389819Z","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":"2026-08-06T00:40:57.504895Z","title":"arXiv preprint arXiv:2509.25681 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:57.504895Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:d17dfcd102457e44b77cb1e67e07620d4eacccece650cccf92e5a4e74ef61719","observation_id":"c6dab312-59c3-4456-8cc9-837cc7d76e3e","resolution":{"observed_at":"2026-08-06T00:40:57.504895Z","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":"2026-08-06T00:40:57.625213Z","title":"arXiv preprint arXiv:2603.25406 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:57.625213Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:5e8f47cededc9040e1da224d1662d8777aaea4069b8b625daca70a657b202aea","observation_id":"d66639c3-d59d-4e4f-9144-02e11aac80aa","resolution":{"observed_at":"2026-08-06T00:40:57.625213Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2603.26320","last_updated":"2026-08-06T10:15:07Z","snapshot_observed_at":"2026-08-07T22:21:05.744948Z","submitted_at":"2026-03-27T11:38:43Z","title":"DFM-VLA: Iterative Action Refinement for Robot Manipulation via Discrete Flow Matching","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2603.26320","snapshot_observed_at":"2026-08-06T00:40:57.767298Z","title":"arXiv preprint arXiv:2603.26320 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:57.767298Z"},"links":{"cited_paper":"/paper/2603.26320","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:971e204b3301096dbfced98f7c2ae7412782a3c790355805505098fe509a321e","observation_id":"4b21f5b9-5ae9-4a41-afc9-2c06452c6b5d","resolution":{"observed_at":"2026-08-06T00:40:57.767298Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2511.21631","last_updated":"2025-11-27T12:16:54Z","snapshot_observed_at":"2026-07-06T22:37:03.716474Z","submitted_at":"2025-11-26T17:59:08Z","title":"Qwen3-VL Technical Report","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2511.21631","snapshot_observed_at":"2026-08-06T00:40:57.915339Z","title":"arXiv preprint arXiv:2511.21631 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:57.915339Z"},"links":{"cited_paper":"/paper/2511.21631","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:dd675220fba0c7fed0376ddff7ef6a9de48c2f87356cca8a7910719e93fc7725","observation_id":"5c70ecdc-5fa4-49e6-98b0-ac4d9795c5a6","resolution":{"observed_at":"2026-08-06T00:40:57.915339Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1503.02531","last_updated":"2015-03-09T15:44:49Z","snapshot_observed_at":"2026-07-06T04:11:24.157003Z","submitted_at":"2015-03-09T15:44:49Z","title":"Distilling the Knowledge in a Neural Network","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1503.02531","snapshot_observed_at":"2026-08-06T00:40:58.139121Z","title":"arXiv preprint arXiv:1503.02531 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:58.139121Z"},"links":{"cited_paper":"/paper/1503.02531","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:17bb63fb8928bbc88e420087c374080c04e254abdfa92da5ec3e7156ea6df8fc","observation_id":"6c9ba018-964b-40d7-a2b0-3504073adf55","resolution":{"observed_at":"2026-08-06T00:40:58.139121Z","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":"2026-08-06T00:40:58.289842Z","title":"Proceedings of the 2016 conference on empirical methods in natural language processing , pages=","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:58.289842Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:0ae52234023a48a838bb4dca6947fc129429c3c1a8fbb79296724516bf49f00e","observation_id":"4ee28a17-467b-48c8-b6bd-e02255c222e4","resolution":{"observed_at":"2026-08-06T00:40:58.289842Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1910.01108","last_updated":"2020-03-01T02:57:50Z","snapshot_observed_at":"2026-08-07T19:07:36.327251Z","submitted_at":"2019-10-02T17:56:28Z","title":"DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.01108","snapshot_observed_at":"2026-08-06T00:40:58.386639Z","title":"arXiv preprint arXiv:1910.01108 , year=","venue":null,"work_id":null,"year":1910},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:58.386639Z"},"links":{"cited_paper":"/paper/1910.01108","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:04f2027e95b620dac35b5cb12aa15d7fb2201489f9ec08101c2bc51078563a1c","observation_id":"75c1f7d4-dfb5-4220-8df9-a1c54e60beb0","resolution":{"observed_at":"2026-08-06T00:40:58.386639Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1511.06732","last_updated":"2016-05-06T21:18:46Z","snapshot_observed_at":"2026-07-31T03:58:50.695173Z","submitted_at":"2015-11-20T19:25:54Z","title":"Sequence Level Training with Recurrent Neural Networks","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1511.06732","snapshot_observed_at":"2026-08-06T00:40:58.506426Z","title":"arXiv preprint arXiv:1511.06732 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:58.506426Z"},"links":{"cited_paper":"/paper/1511.06732","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:97b4372441ef319a85d7b902780b242fb58897d19afe27dc2eaff47cc3f4e2c7","observation_id":"66e109b6-3de1-4448-8e22-a92bc53a8636","resolution":{"observed_at":"2026-08-06T00:40:58.506426Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.19710","last_updated":"2026-04-21T17:34:19Z","snapshot_observed_at":"2026-07-06T23:06:16.972438Z","submitted_at":"2026-04-21T17:34:19Z","title":"SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.19710","snapshot_observed_at":"2026-08-06T00:40:58.628617Z","title":"arXiv preprint arXiv:2604.19710 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:58.628617Z"},"links":{"cited_paper":"/paper/2604.19710","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:5c515008997539f29b65ea52c800381920d49e75d0b77d046ff4731cd31fd921","observation_id":"9b7ad2ce-dcaf-4ea5-bb6c-98a975590e71","resolution":{"observed_at":"2026-08-06T00:40:58.628617Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2507.04049","last_updated":"2026-06-26T10:29:28Z","snapshot_observed_at":"2026-08-06T19:54:27.123717Z","submitted_at":"2025-07-05T14:19:19Z","title":"DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.04049","snapshot_observed_at":"2026-08-06T00:40:58.730850Z","title":"arXiv preprint arXiv:2507.04049 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:58.730850Z"},"links":{"cited_paper":"/paper/2507.04049","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:24e77d6fbda47c3edc8d687b6568c4d2331170c349de3f2d09213db0f45e5239","observation_id":"0ea212dc-0921-42ec-8121-77dc7949a038","resolution":{"observed_at":"2026-08-06T00:40:58.730850Z","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":"2026-08-06T00:40:58.841184Z","title":"arXiv preprint arXiv:2512.07745 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:58.841184Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:e61ecadae68a5a78e27403ca15b99ed04ed824424ef81aa2c089b5e452abd5b6","observation_id":"f5714b31-f358-484c-8a19-4a9055dacb4b","resolution":{"observed_at":"2026-08-06T00:40:58.841184Z","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":"2026-08-06T00:40:59.005220Z","title":"arXiv preprint arXiv:2603.06049 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:59.005220Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:0990e3c389fee6e49d35ce6cf22f9c8a0e0b92c39c9679139b2546654992d11e","observation_id":"4f11a6b4-419b-448e-9a5e-59f3a4aa8047","resolution":{"observed_at":"2026-08-06T00:40:59.005220Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.12656","last_updated":"2026-04-30T03:28:28Z","snapshot_observed_at":"2026-08-05T23:11:04.462754Z","submitted_at":"2026-04-14T12:24:54Z","title":"FeaXDrive: Feasibility-aware Trajectory-Centric Diffusion Planning for End-to-End Autonomous Driving","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.12656","snapshot_observed_at":"2026-08-06T00:40:59.110842Z","title":"arXiv preprint arXiv:2604.12656 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:59.110842Z"},"links":{"cited_paper":"/paper/2604.12656","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:59756402ca0a4c5794de3d98b164937a16563f293917e53b6dca437350b7e303","observation_id":"e37ee1ac-8a99-49d6-bfc3-f69c660864bd","resolution":{"observed_at":"2026-08-06T00:40:59.110842Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.03326","last_updated":"2024-10-26T16:35:13Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-08-06T17:59:44Z","title":"LLaVA-OneVision: Easy Visual Task Transfer","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.03326","snapshot_observed_at":"2026-08-06T00:40:59.225854Z","title":"arXiv preprint arXiv:2408.03326 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:59.225854Z"},"links":{"cited_paper":"/paper/2408.03326","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:e18c22e0352e505d6e0068257fb4fee3dd3c1f443b8fb4d2edb1826b0e56c257","observation_id":"0d0d1872-77ce-4f18-a8c7-da375a4a9838","resolution":{"observed_at":"2026-08-06T00:40:59.225854Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.21276","last_updated":"2024-10-25T17:43:01Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-10-25T17:43:01Z","title":"GPT-4o System Card","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.21276","snapshot_observed_at":"2026-08-06T00:40:59.308960Z","title":"arXiv preprint arXiv:2410.21276 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:59.308960Z"},"links":{"cited_paper":"/paper/2410.21276","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:e910915ebfff579ad283908715663fc1b03efdc052bca4c903b98d0c16a4cca2","observation_id":"385fca01-448d-49c5-8b91-9cc3fcb764cb","resolution":{"observed_at":"2026-08-06T00:40:59.308960Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.05271","last_updated":"2025-09-26T12:52:41Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-06T18:57:08Z","title":"Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.05271","snapshot_observed_at":"2026-08-06T00:40:59.425723Z","title":"arXiv preprint arXiv:2412.05271 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:59.425723Z"},"links":{"cited_paper":"/paper/2412.05271","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:5942c5e5cc1b3af9e127f0c87373b1429b079552269a6a374a948418d3e9d3b5","observation_id":"a28531ac-309f-42c1-b5b8-3b241c70e198","resolution":{"observed_at":"2026-08-06T00:40:59.425723Z","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":"2026-08-06T00:40:59.524508Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:59.524508Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:51b3137041157da741693af9431941c3e509f9d19325b9051efcd4088a03427c","observation_id":"e3d5ad02-3f2f-43df-86a9-46f0546c69a6","resolution":{"observed_at":"2026-08-06T00:40:59.524508Z","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":"2026-08-06T00:40:59.670805Z","title":"Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:59.670805Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:8d102bcd2f16b30c108fafb5fd1650faf6ee2dbb417f869a8d6a3d79c8e9385c","observation_id":"c3c8b6c2-a800-4162-bacb-534e9a1db8a9","resolution":{"observed_at":"2026-08-06T00:40:59.670805Z","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":"2026-08-06T00:40:59.781169Z","title":"Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":78,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:59.781169Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:447e22d59d4cb824d5047917defb529478b1f51373d64dc25881c73d2a98a883","observation_id":"8fdf10b8-48ee-4148-b129-90a4c5afcc2c","resolution":{"observed_at":"2026-08-06T00:40:59.781169Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.10430","last_updated":"2023-10-22T02:45:33Z","snapshot_observed_at":"2026-07-06T15:28:49.253125Z","submitted_at":"2023-05-17T17:59:11Z","title":"Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.10430","snapshot_observed_at":"2026-08-06T00:40:59.926367Z","title":"arXiv preprint arXiv:2305.10430 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":79,"source":"arxiv_source","source_observed_at":"2026-08-06T00:40:59.926367Z"},"links":{"cited_paper":"/paper/2305.10430","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:d69974d246db5cb0a744c2530152a83e02b38e69ffe6c45b4980105af2f58eb3","observation_id":"69124f30-562e-49b8-84c4-f4538bbc35ae","resolution":{"observed_at":"2026-08-06T00:40:59.926367Z","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":"2026-08-06T00:41:00.055666Z","title":"Proceedings of the AAAI Conference on Artificial Intelligence , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":80,"source":"arxiv_source","source_observed_at":"2026-08-06T00:41:00.055666Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:3d445c055677ebfc8f400d8c0c5e9e90f1d72c1a43492bf88906a15088b43054","observation_id":"314f6a22-f98d-4714-9c74-e6aef43c184f","resolution":{"observed_at":"2026-08-06T00:41:00.055666Z","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":"2026-08-06T00:41:00.186888Z","title":"arXiv preprint arXiv:2601.05083 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":81,"source":"arxiv_source","source_observed_at":"2026-08-06T00:41:00.186888Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:ba124b262f9b5a649395005f22fec8bf353dfae109191b9194fd43cd50dea06c","observation_id":"2f41163d-9a3e-4203-b867-a66d03193623","resolution":{"observed_at":"2026-08-06T00:41:00.186888Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.06978","last_updated":"2024-08-30T03:37:36Z","snapshot_observed_at":"2026-07-06T18:28:42.314877Z","submitted_at":"2024-06-11T06:18:26Z","title":"Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.06978","snapshot_observed_at":"2026-08-06T00:41:00.294194Z","title":"arXiv preprint arXiv:2406.06978 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":82,"source":"arxiv_source","source_observed_at":"2026-08-06T00:41:00.294194Z"},"links":{"cited_paper":"/paper/2406.06978","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:e4c97fd9e55a27751a22ff110366d0cc58872338472b21e83d7249d518d30131","observation_id":"79f40b18-7272-4dcc-ba45-41808b3867e3","resolution":{"observed_at":"2026-08-06T00:41:00.294194Z","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":"2026-08-06T00:41:00.402668Z","title":"Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":83,"source":"arxiv_source","source_observed_at":"2026-08-06T00:41:00.402668Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:8da4ea26c48ccc8c031d0b1b041fdae5223c842798b50f162a6a016fd93403fc","observation_id":"f57e8d74-0443-4aa7-8c49-c95d3e6c23b2","resolution":{"observed_at":"2026-08-06T00:41:00.402668Z","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":"2026-08-06T00:41:00.480999Z","title":"Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":84,"source":"arxiv_source","source_observed_at":"2026-08-06T00:41:00.480999Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:bba31b45e8ac8f5106100400eddfa1c993d52aaeb3512746fd51956b4978b769","observation_id":"b2e7ab06-ca91-4008-bc9d-a0ff557c8a4b","resolution":{"observed_at":"2026-08-06T00:41:00.480999Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.07656","last_updated":"2025-07-11T08:15:30Z","snapshot_observed_at":"2026-08-07T17:22:22.103067Z","submitted_at":"2025-03-07T11:41:18Z","title":"DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.07656","snapshot_observed_at":"2026-08-06T00:41:00.566940Z","title":"arXiv preprint arXiv:2503.07656 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":85,"source":"arxiv_source","source_observed_at":"2026-08-06T00:41:00.566940Z"},"links":{"cited_paper":"/paper/2503.07656","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:e1dab0f2853ff92b4d3addd4cbaf532a6ac00d66e0375f4bc25a6634fdf54b02","observation_id":"5f8c78d7-7c94-4e0f-ad5a-a27367b6b3c6","resolution":{"observed_at":"2026-08-06T00:41:00.566940Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.08052","last_updated":"2025-09-29T17:21:41Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-06-09T03:14:04Z","title":"ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.08052","snapshot_observed_at":"2026-08-06T00:41:00.666760Z","title":"arXiv preprint arXiv:2506.08052 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":86,"source":"arxiv_source","source_observed_at":"2026-08-06T00:41:00.666760Z"},"links":{"cited_paper":"/paper/2506.08052","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:db141908cb79848f79a4ff84eccbe403ba4a9ad2c70d44a381e0bb12ddea613c","observation_id":"9f83b04f-4906-44d8-b697-103a6cd26d1b","resolution":{"observed_at":"2026-08-06T00:41:00.666760Z","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":"2026-08-06T00:41:00.753018Z","title":"arXiv preprint arXiv:2602.18887 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":87,"source":"arxiv_source","source_observed_at":"2026-08-06T00:41:00.753018Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:c875b55487eb560a1b5cae379fb077c33e3207c8461fd1136a2990b3eb954be5","observation_id":"2bf7b9bb-08c1-4e74-b957-273953bc1ed7","resolution":{"observed_at":"2026-08-06T00:41:00.753018Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.12170","last_updated":"2025-07-18T12:26:43Z","snapshot_observed_at":"2026-08-07T17:01:48.656587Z","submitted_at":"2025-03-15T15:23:35Z","title":"DiffAD: A Unified Diffusion Modeling Approach for Autonomous Driving","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.12170","snapshot_observed_at":"2026-08-06T00:41:00.796566Z","title":"arXiv preprint arXiv:2503.12170 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":88,"source":"arxiv_source","source_observed_at":"2026-08-06T00:41:00.796566Z"},"links":{"cited_paper":"/paper/2503.12170","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:53e26dcbcdd9f4980e87f5252df154e381f1ea378a696b2114d70633de1b390f","observation_id":"4e249aa0-7648-4181-9521-f5b26bca1a21","resolution":{"observed_at":"2026-08-06T00:41:00.796566Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.16514","last_updated":"2026-07-12T15:32:26Z","snapshot_observed_at":"2026-08-03T00:38:31.335979Z","submitted_at":"2026-04-15T09:17:38Z","title":"BARD: Bridging AutoRegressive and Diffusion Vision-Language Models Via Highly Efficient Progressive Block Merging and Stage-Wise Distillation","version":5},"cited_work":{"arxiv_id":"2604.16514","doi":null,"metadata_source":"pith","pith_arxiv_id":"2604.16514","snapshot_observed_at":"2026-08-06T00:41:04.336269Z","title":"BARD: Bridging AutoRegressive and Diffusion Vision-Language Models Via Highly Efficient Progressive Block Merging and Stage-Wise Distillation","venue":"cs.CV","work_id":"0b1db8ca-c1e6-4df6-ad6e-16807fd9dd0d","year":2026},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":89,"source":"arxiv_source","source_observed_at":"2026-08-06T00:41:00.800060Z"},"links":{"cited_paper":"/paper/2604.16514","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:36fcb0653ff3e9c46ea2a001b669517c1c19d38d0ad0fbe0dbede7949e512aa8","observation_id":"853ba29a-d432-4e6c-bd94-0a80ffaa41ea","resolution":{"observed_at":"2026-08-06T00:41:04.391095Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12191","last_updated":"2024-10-03T15:54:49Z","snapshot_observed_at":"2026-08-06T05:35:29.109022Z","submitted_at":"2024-09-18T17:59:32Z","title":"Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12191","snapshot_observed_at":"2026-08-06T00:41:00.822755Z","title":"arXiv preprint arXiv:2409.12191 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":90,"source":"arxiv_source","source_observed_at":"2026-08-06T00:41:00.822755Z"},"links":{"cited_paper":"/paper/2409.12191","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:fc3d15f7011fa5eb8e9ce9d78bce9b30b388b1a11b772ad9b96ceabbaf8d122f","observation_id":"74f7ddf5-116e-496a-be70-5422c06cfc1c","resolution":{"observed_at":"2026-08-06T00:41:00.822755Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.14786","last_updated":"2025-02-20T18:08:29Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-02-20T18:08:29Z","title":"SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.14786","snapshot_observed_at":"2026-08-06T00:41:00.875113Z","title":"arXiv preprint arXiv:2502.14786 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":91,"source":"arxiv_source","source_observed_at":"2026-08-06T00:41:00.875113Z"},"links":{"cited_paper":"/paper/2502.14786","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:4539cbd3e7800aaa41ef345d434295d3ec2fd96a5dcd68db26a6bd008f686f5b","observation_id":"28a2ecd3-9a51-45f5-881b-1218f6f18915","resolution":{"observed_at":"2026-08-06T00:41:00.875113Z","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":"2026-08-06T00:41:00.920874Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":92,"source":"arxiv_source","source_observed_at":"2026-08-06T00:41:00.920874Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:31b972284415fb641a437b22ee427ff67d51eed089364251ba545f4a1f068a08","observation_id":"7d369723-c365-454d-9e02-e5a95f8b33f7","resolution":{"observed_at":"2026-08-06T00:41:00.920874Z","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":"2026-08-06T00:41:00.973495Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":93,"source":"arxiv_source","source_observed_at":"2026-08-06T00:41:00.973495Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:79753150f33d60b94305d2c29ea5370812d3ba1387d495be536a57447111b686","observation_id":"b5f3e8ba-dc20-4ab0-928e-8e9ae0e5abc9","resolution":{"observed_at":"2026-08-06T00:41:00.973495Z","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":"2026-08-06T00:41:01.026123Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":94,"source":"arxiv_source","source_observed_at":"2026-08-06T00:41:01.026123Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:78c06c6a63f9e54379204528837328fbdd236a302123b7f1d465c6c302933195","observation_id":"1663f351-3df7-408e-b706-07745750f236","resolution":{"observed_at":"2026-08-06T00:41:01.026123Z","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":"2026-08-06T00:41:01.120247Z","title":"2023 , eprint=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":95,"source":"arxiv_source","source_observed_at":"2026-08-06T00:41:01.120247Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:8b972969b6401826f802a830c1655cd15513f486d6b7849ab521ebf891344333","observation_id":"dfc17f7f-a1d4-4153-9ce0-9538493f761f","resolution":{"observed_at":"2026-08-06T00:41:01.120247Z","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":"2026-08-06T00:41:01.199962Z","title":"Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":96,"source":"arxiv_source","source_observed_at":"2026-08-06T00:41:01.199962Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:41a3b4579c5e260cfe8895fff476a13752d2360ecf93c34c1329680dd3c4f513","observation_id":"9a284fd1-0fdb-41f3-84e1-d342b79326c5","resolution":{"observed_at":"2026-08-06T00:41:01.199962Z","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":"2026-08-06T00:41:07.290050Z","title":"2022 , eprint=","venue":null,"work_id":"ddb65550-5018-448c-b9df-e62de236c100","year":2022},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":97,"source":"arxiv_source","source_observed_at":"2026-08-06T00:41:01.261935Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:d8bfa7a48cd6f73979d8cff296b320b44e21b2b34bf6c33d066ac3845bc38ef9","observation_id":"21e28d14-aa6b-4d34-a78a-114abc79b101","resolution":{"observed_at":"2026-08-06T00:41:07.373210Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.03601","last_updated":"2024-08-14T04:31:32Z","snapshot_observed_at":"2026-08-03T08:33:00.534249Z","submitted_at":"2024-08-07T07:41:01Z","title":"DRAMA: An Efficient End-to-end Motion Planner for Autonomous Driving with Mamba","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.03601","snapshot_observed_at":"2026-08-06T00:41:01.354579Z","title":"arXiv preprint arXiv:2408.03601 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":98,"source":"arxiv_source","source_observed_at":"2026-08-06T00:41:01.354579Z"},"links":{"cited_paper":"/paper/2408.03601","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:396ff46895bae0e303eb099eda3872fea675432f11d6f58478ea581975c09d94","observation_id":"4c3f3790-83c6-4ea5-a3eb-dd3390fb8502","resolution":{"observed_at":"2026-08-06T00:41:01.354579Z","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":"2026-08-06T00:41:07.086352Z","title":"2026 , eprint=","venue":null,"work_id":"656ec5f4-b9e4-4e34-876f-2ed6814a3741","year":2026},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":99,"source":"arxiv_source","source_observed_at":"2026-08-06T00:41:01.418894Z"},"links":{"citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:5ad5c8153c069008113e264bd240645e394d3169c336fb7df97ee446ddd63b8f","observation_id":"42e58e3c-853d-40e9-9834-6b6405641ecc","resolution":{"observed_at":"2026-08-06T00:41:07.194581Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.13971","last_updated":"2023-02-27T17:11:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-02-27T17:11:15Z","title":"LLaMA: Open and Efficient Foundation Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.13971","snapshot_observed_at":"2026-08-06T00:41:01.451450Z","title":"arXiv preprint arXiv:2302.13971 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA","version":1},"reference_index":100,"source":"arxiv_source","source_observed_at":"2026-08-06T00:41:01.451450Z"},"links":{"cited_paper":"/paper/2302.13971","citing_paper":"/paper/2608.01035"},"observation_digest":"sha256:6a7cb3cdb1cfc3ddb25688d9ae3b91face5172a4b52e0e930d198dbc69805a98","observation_id":"d79d846d-1b16-46ee-96df-3114a9f06301","resolution":{"observed_at":"2026-08-06T00:41:01.451450Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2608.01035","last_updated":"2026-08-02T06:45:16Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-07T14:43:23.078973Z","submitted_at":"2026-08-02T06:45:16Z","title":"WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":96,"verified_exact":1,"verified_fuzzy":2},"total_outbound_references":119},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 100 of 119 outbound references and 0 inbound Pith citation observations for arXiv:2608.01035."}