{"as_of":"2026-08-13T06:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:437fe7049b829b05572a18a64442d626ea4ff632de52104ad25a93ceb2fa1959","coverage":[{"denominator":33,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":33,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:59:20.216917Z","state":"measured"},{"denominator":55,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":55,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":22,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":22,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T21:31:04.572098Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-04T16:39:58.091867Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.06664","snapshot_observed_at":"2026-08-06T21:31:04.572098Z","title":"Generalized trajectory scor- ing for end-to-end multimodal planning","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.24044","last_updated":"2025-06-30T16:50:02Z","snapshot_observed_at":"2026-08-12T19:26:12.850812Z","submitted_at":"2025-06-30T16:50:02Z","title":"A Survey on Vision-Language-Action Models for Autonomous Driving","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-06T21:31:04.572098Z"},"links":{"cited_paper":"/paper/2506.06664","citing_paper":"/paper/2506.24044"},"observation_digest":"sha256:41a5464d9aa36d373bf8341eedff42c6062afef47791f165a868a35171fe0405","observation_id":"58283645-65e3-4dc8-be82-d85c9dc06e21","resolution":{"observed_at":"2026-08-06T21:31:04.572098Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.06664","snapshot_observed_at":"2026-08-06T20:04:08.430263Z","title":"Generalized trajectory scoring for end-to-end multimodal planning,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.04049","last_updated":"2026-06-26T10:29:28Z","snapshot_observed_at":"2026-08-12T19:26:08.085066Z","submitted_at":"2025-07-05T14:19:19Z","title":"DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving","version":5},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:08.430263Z"},"links":{"cited_paper":"/paper/2506.06664","citing_paper":"/paper/2507.04049"},"observation_digest":"sha256:0baf3c4600cb100aba86911df1389d70bad6a0b259eb6181efd25cb5511641fc","observation_id":"f1659a13-4a63-4ef8-8e9c-79f911a8128e","resolution":{"observed_at":"2026-08-06T20:04:08.430263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"cited_work":{"arxiv_id":"2506.06664","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.06664","snapshot_observed_at":"2026-07-04T16:39:58.091867Z","title":"Generalized trajectory scoring for end-to-end multimodal planning","venue":null,"work_id":"5c027ae8-9c2a-4484-a685-f902c6221905","year":2025},"citing_paper":{"arxiv_id":"2507.17596","last_updated":"2026-04-12T09:38:18Z","snapshot_observed_at":"2026-08-10T21:57:05.521393Z","submitted_at":"2025-07-23T15:28:23Z","title":"PRIX: Learning to Plan from Raw Pixels for End-to-End Autonomous Driving","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-19T02:53:09.830659Z"},"links":{"cited_paper":"/paper/2506.06664","citing_paper":"/paper/2507.17596"},"observation_digest":"sha256:795b3d2a441131a7a2ad1a6528ffb4ee3a68f2f881f69a316728ccc9838cff29","observation_id":"b30ddc9f-7794-47a0-9282-4c71a792f910","resolution":{"observed_at":"2026-05-19T02:57:00.701536Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.06664","snapshot_observed_at":"2026-08-05T23:41:31.796375Z","title":"Generalized tra- jectory scoring for end-to-end multimodal planning","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.06571","last_updated":"2025-08-15T05:19:30Z","snapshot_observed_at":"2026-08-05T23:41:31.354015Z","submitted_at":"2025-08-07T06:30:05Z","title":"IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T23:41:31.796375Z"},"links":{"cited_paper":"/paper/2506.06664","citing_paper":"/paper/2508.06571"},"observation_digest":"sha256:c2feaae61ac096f6fd6ff59186131584e730c652218b499990c8b2d107d60a1e","observation_id":"71701eec-44e2-461e-9382-3e4e5b9274f0","resolution":{"observed_at":"2026-08-05T23:41:31.796375Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"cited_work":{"arxiv_id":"2506.06664","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.06664","snapshot_observed_at":"2026-07-04T16:39:58.091867Z","title":"Generalized trajectory scoring for end-to-end multimodal planning","venue":null,"work_id":"5c027ae8-9c2a-4484-a685-f902c6221905","year":2025},"citing_paper":{"arxiv_id":"2511.23369","last_updated":"2026-04-10T09:10:11Z","snapshot_observed_at":"2026-08-11T13:45:57.249010Z","submitted_at":"2025-11-28T17:17:38Z","title":"SimScale: Learning to Drive via Real-World Simulation at Scale","version":3},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-05-17T04:33:03.629533Z"},"links":{"cited_paper":"/paper/2506.06664","citing_paper":"/paper/2511.23369"},"observation_digest":"sha256:27478462d028fd6a7cc806d722add8205c57e383101c38192768f426f4d94e71","observation_id":"64ed8940-46b5-41f8-a73d-9c5951afe91a","resolution":{"observed_at":"2026-05-17T04:34:01.893796Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.06664","snapshot_observed_at":"2026-08-03T06:23:15.829477Z","title":"Generalized trajectory scoring for end-to-end multimodal planning","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2601.22965","last_updated":"2026-06-01T08:53:04Z","snapshot_observed_at":"2026-08-12T13:13:55.151273Z","submitted_at":"2026-01-30T13:27:59Z","title":"Self-Imitated Diffusion Policy for Efficient and Robust Visual Navigation","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-03T06:23:15.829477Z"},"links":{"cited_paper":"/paper/2506.06664","citing_paper":"/paper/2601.22965"},"observation_digest":"sha256:2e05a58632c32fcdd3be3551e26bcf44cdf00e936dae298bdb0e092c10dbd95d","observation_id":"30a1e307-0739-4b3e-ac8a-77b87eab8151","resolution":{"observed_at":"2026-08-03T06:23:15.829477Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.06664","snapshot_observed_at":"2026-07-13T12:58:58.057084Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2604.03581","last_updated":"2026-04-04T04:12:47Z","snapshot_observed_at":"2026-08-11T20:18:56.449370Z","submitted_at":"2026-04-04T04:12:47Z","title":"HAD: Combining Hierarchical Diffusion with Metric-Decoupled RL for End-to-End Driving","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-07-13T12:58:58.057084Z"},"links":{"cited_paper":"/paper/2506.06664","citing_paper":"/paper/2604.03581"},"observation_digest":"sha256:9d1b254f9d357e03bae24280aa8ef18d89b5dcdbdb4284c2ba0647fae0c5d29b","observation_id":"841228a3-14ba-43a6-a64c-3b498e58f944","resolution":{"observed_at":"2026-07-13T12:58:58.057084Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"cited_work":{"arxiv_id":"2506.06664","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.06664","snapshot_observed_at":"2026-07-04T16:39:58.091867Z","title":"Generalized trajectory scoring for end-to-end multimodal planning","venue":null,"work_id":"5c027ae8-9c2a-4484-a685-f902c6221905","year":2025},"citing_paper":{"arxiv_id":"2604.15308","last_updated":"2026-04-16T17:59:44Z","snapshot_observed_at":"2026-08-11T11:39:21.579764Z","submitted_at":"2026-04-16T17:59:44Z","title":"RAD-2: Scaling Reinforcement Learning in a Generator-Discriminator Framework","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-10T11:40:26.649975Z"},"links":{"cited_paper":"/paper/2506.06664","citing_paper":"/paper/2604.15308"},"observation_digest":"sha256:313b05b869f3cd95428c1763a977ab7a6975bd2d4639b7a6534213c5d5a40355","observation_id":"b593187a-3442-42c8-8df4-9db4c667bd30","resolution":{"observed_at":"2026-05-10T11:50:21.075872Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"cited_work":{"arxiv_id":"2506.06664","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.06664","snapshot_observed_at":"2026-07-04T16:39:58.091867Z","title":"Generalized trajectory scoring for end-to-end multimodal planning","venue":null,"work_id":"5c027ae8-9c2a-4484-a685-f902c6221905","year":2025},"citing_paper":{"arxiv_id":"2604.17841","last_updated":"2026-04-20T05:51:18Z","snapshot_observed_at":"2026-08-03T01:34:19.519122Z","submitted_at":"2026-04-20T05:51:18Z","title":"Driving risk emerges from the required two-dimensional joint evasive acceleration","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-10T04:59:50.907647Z"},"links":{"cited_paper":"/paper/2506.06664","citing_paper":"/paper/2604.17841"},"observation_digest":"sha256:8b972be30504cd1b11c39250227e10ceac8694f0756237ceb002ff8130db313d","observation_id":"e7387a0f-87b6-44ca-a7e8-6f91f26c45e7","resolution":{"observed_at":"2026-05-10T10:24:22.445044Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"cited_work":{"arxiv_id":"2506.06664","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.06664","snapshot_observed_at":"2026-07-04T16:39:58.091867Z","title":"Generalized trajectory scoring for end-to-end multimodal planning","venue":null,"work_id":"5c027ae8-9c2a-4484-a685-f902c6221905","year":2025},"citing_paper":{"arxiv_id":"2605.04470","last_updated":"2026-05-06T03:49:01Z","snapshot_observed_at":"2026-08-10T23:06:53.693096Z","submitted_at":"2026-05-06T03:49:01Z","title":"CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-08T17:20:55.364175Z"},"links":{"cited_paper":"/paper/2506.06664","citing_paper":"/paper/2605.04470"},"observation_digest":"sha256:a9fa4e3a91699234c031f47fcca6687b94c8acb08763542fc5722ac66a191ffe","observation_id":"dae1d3be-8e8d-4b30-ab27-93f4d4ede494","resolution":{"observed_at":"2026-05-11T17:41:06.717031Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"cited_work":{"arxiv_id":"2506.06664","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.06664","snapshot_observed_at":"2026-07-04T16:39:58.091867Z","title":"Generalized trajectory scoring for end-to-end multimodal planning","venue":null,"work_id":"5c027ae8-9c2a-4484-a685-f902c6221905","year":2025},"citing_paper":{"arxiv_id":"2605.09701","last_updated":"2026-05-10T18:45:21Z","snapshot_observed_at":"2026-08-11T05:10:28.655577Z","submitted_at":"2026-05-10T18:45:21Z","title":"DriveFuture: Future-Aware Latent World Models for Autonomous Driving","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-12T02:59:27.018824Z"},"links":{"cited_paper":"/paper/2506.06664","citing_paper":"/paper/2605.09701"},"observation_digest":"sha256:b6c739953bd2624b6bfd0f529c21ac230b3ea043206d95a99943f9cfe55673a1","observation_id":"2d41a36c-bcd4-4e73-8cd7-b66e51719142","resolution":{"observed_at":"2026-05-12T03:01:17.932758Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"cited_work":{"arxiv_id":"2506.06664","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.06664","snapshot_observed_at":"2026-07-04T16:39:58.091867Z","title":"Generalized trajectory scoring for end-to-end multimodal planning","venue":null,"work_id":"5c027ae8-9c2a-4484-a685-f902c6221905","year":2025},"citing_paper":{"arxiv_id":"2605.15120","last_updated":"2026-05-15T11:07:11Z","snapshot_observed_at":"2026-08-12T19:26:11.644798Z","submitted_at":"2026-05-14T17:32:18Z","title":"CLOVER: Closed-Loop Value Estimation and Ranking for End-to-End Autonomous Driving Planning","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-20T20:57:06.455108Z"},"links":{"cited_paper":"/paper/2506.06664","citing_paper":"/paper/2605.15120"},"observation_digest":"sha256:79820a607a824935e25c9c3780d84de8a3e5fb9893fee4e8dadef48a71bbd630","observation_id":"5aaaef73-0117-4737-ab64-374c20edd6dc","resolution":{"observed_at":"2026-05-20T20:59:01.643061Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"cited_work":{"arxiv_id":"2506.06664","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.06664","snapshot_observed_at":"2026-07-04T16:39:58.091867Z","title":"Generalized trajectory scoring for end-to-end multimodal planning","venue":null,"work_id":"5c027ae8-9c2a-4484-a685-f902c6221905","year":2025},"citing_paper":{"arxiv_id":"2605.31476","last_updated":"2026-05-29T16:05:42Z","snapshot_observed_at":"2026-08-12T05:24:58.708278Z","submitted_at":"2026-05-29T16:05:42Z","title":"IDOL: Inverse-Dynamics-Guided Future Prediction for End-to-End Autonomous Driving","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-06-28T22:23:07.223613Z"},"links":{"cited_paper":"/paper/2506.06664","citing_paper":"/paper/2605.31476"},"observation_digest":"sha256:0f4ef940839c6003d9607faa5e6b9861066c98d523a79cd6e82afdf85eb5a905","observation_id":"9970e91c-4ce7-4b53-ab5c-1d4a3fa64834","resolution":{"observed_at":"2026-07-01T19:36:08.381323Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"cited_work":{"arxiv_id":"2506.06664","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.06664","snapshot_observed_at":"2026-07-04T16:39:58.091867Z","title":"Generalized trajectory scoring for end-to-end multimodal planning","venue":null,"work_id":"5c027ae8-9c2a-4484-a685-f902c6221905","year":2025},"citing_paper":{"arxiv_id":"2606.06219","last_updated":"2026-06-04T14:32:10Z","snapshot_observed_at":"2026-08-07T19:49:10.882663Z","submitted_at":"2026-06-04T14:32:10Z","title":"CLEAR: Cognition and Latent Evaluation for Adaptive Routing in End-to-End Autonomous Driving","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-28T01:13:01.362993Z"},"links":{"cited_paper":"/paper/2506.06664","citing_paper":"/paper/2606.06219"},"observation_digest":"sha256:bd87da9d1ad758f4a0b58003279ab691075de0913d323905392e21f06e147aef","observation_id":"b8fd87e8-85a5-4f09-8ff7-39d0d78d9638","resolution":{"observed_at":"2026-07-02T13:36:58.905728Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"cited_work":{"arxiv_id":"2506.06664","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.06664","snapshot_observed_at":"2026-07-04T16:39:58.091867Z","title":"Generalized trajectory scoring for end-to-end multimodal planning","venue":null,"work_id":"5c027ae8-9c2a-4484-a685-f902c6221905","year":2025},"citing_paper":{"arxiv_id":"2606.07170","last_updated":"2026-06-05T11:39:27Z","snapshot_observed_at":"2026-08-12T20:41:54.065890Z","submitted_at":"2026-06-05T11:39:27Z","title":"Test-Time Trajectory Optimization for Autonomous Driving","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-27T21:53:02.554405Z"},"links":{"cited_paper":"/paper/2506.06664","citing_paper":"/paper/2606.07170"},"observation_digest":"sha256:f67db73c36f3b47087807c71601ece0e247303f39c139767632ce38591443ea1","observation_id":"363a473d-178b-402c-989a-7e815f994f1b","resolution":{"observed_at":"2026-07-02T17:47:17.907433Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"cited_work":{"arxiv_id":"2506.06664","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.06664","snapshot_observed_at":"2026-07-04T16:39:58.091867Z","title":"Generalized trajectory scoring for end-to-end multimodal planning","venue":null,"work_id":"5c027ae8-9c2a-4484-a685-f902c6221905","year":2025},"citing_paper":{"arxiv_id":"2606.08525","last_updated":"2026-06-07T09:05:49Z","snapshot_observed_at":"2026-07-06T23:48:02.118629Z","submitted_at":"2026-06-07T09:05:49Z","title":"DriveReward: A Comprehensive Dataset and Generative Vision-Language Reward Model for Autonomous Driving","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-27T18:58:26.701929Z"},"links":{"cited_paper":"/paper/2506.06664","citing_paper":"/paper/2606.08525"},"observation_digest":"sha256:8e310c093d41dbde2d747609e29c01c478e87dc9bcca39de620ddab7e0370dbf","observation_id":"486c66f8-6423-4822-8510-356221e22f56","resolution":{"observed_at":"2026-07-02T22:27:25.505037Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"cited_work":{"arxiv_id":"2506.06664","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.06664","snapshot_observed_at":"2026-07-04T16:39:58.091867Z","title":"Generalized trajectory scoring for end-to-end multimodal planning","venue":null,"work_id":"5c027ae8-9c2a-4484-a685-f902c6221905","year":2025},"citing_paper":{"arxiv_id":"2606.17362","last_updated":"2026-06-15T23:39:36Z","snapshot_observed_at":"2026-08-13T00:03:13.014773Z","submitted_at":"2026-06-15T23:39:36Z","title":"DriveJudge: Rethinking Autonomous Driving Evaluation with Vision-Language Models","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-27T03:04:13.554098Z"},"links":{"cited_paper":"/paper/2506.06664","citing_paper":"/paper/2606.17362"},"observation_digest":"sha256:21132eb30d11ec74fef98e635c3452b37ad92335c3b9db2568a56acab64e494a","observation_id":"868c69de-e28c-43e3-b687-09c282a97eef","resolution":{"observed_at":"2026-07-03T18:28:48.973882Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"cited_work":{"arxiv_id":"2506.06664","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.06664","snapshot_observed_at":"2026-07-04T16:39:58.091867Z","title":"Generalized trajectory scoring for end-to-end multimodal planning","venue":null,"work_id":"5c027ae8-9c2a-4484-a685-f902c6221905","year":2025},"citing_paper":{"arxiv_id":"2606.24231","last_updated":"2026-06-23T07:21:36Z","snapshot_observed_at":"2026-08-09T11:12:47.219255Z","submitted_at":"2026-06-23T07:21:36Z","title":"FlowR2A: Learning Reward-to-Action Distribution for Multimodal Driving Planning","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-06-26T00:19:49.473294Z"},"links":{"cited_paper":"/paper/2506.06664","citing_paper":"/paper/2606.24231"},"observation_digest":"sha256:5bd7a7815ba82ee388a53c5df86c6665a394b5d03577129ed879d24f4fcefbff","observation_id":"84d38d24-6647-4889-b658-9c2f470e1d49","resolution":{"observed_at":"2026-07-04T16:39:58.093716Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"cited_work":{"arxiv_id":"2506.06664","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.06664","snapshot_observed_at":"2026-07-04T16:39:58.091867Z","title":"Generalized trajectory scoring for end-to-end multimodal planning","venue":null,"work_id":"5c027ae8-9c2a-4484-a685-f902c6221905","year":2025},"citing_paper":{"arxiv_id":"2606.30807","last_updated":"2026-06-29T18:32:29Z","snapshot_observed_at":"2026-08-02T15:02:50.322784Z","submitted_at":"2026-06-29T18:32:29Z","title":"Off the Rails: Hijacking the Scoring Head in Generative End-to-End Driving Planners with Safety-Violating Adversarial Perturbations","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-01T01:32:45.896103Z"},"links":{"cited_paper":"/paper/2506.06664","citing_paper":"/paper/2606.30807"},"observation_digest":"sha256:7fb7643a28af5557950be47719f090302dd75ec93ac38e935b2636bb2d4aec41","observation_id":"875d21d7-f97e-4d95-9024-9e0d5c63f73e","resolution":{"observed_at":"2026-07-01T12:55:44.547251Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"cited_work":{"arxiv_id":"2506.06664","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.06664","snapshot_observed_at":"2026-07-04T16:39:58.091867Z","title":"Generalized trajectory scoring for end-to-end multimodal planning","venue":null,"work_id":"5c027ae8-9c2a-4484-a685-f902c6221905","year":2025},"citing_paper":{"arxiv_id":"2606.31830","last_updated":"2026-06-30T15:36:48Z","snapshot_observed_at":"2026-08-12T00:05:18.286838Z","submitted_at":"2026-06-30T15:36:48Z","title":"PriorEye: Geospatial Visual Priors for End-to-End Autonomous Driving","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-07-01T05:58:58.075150Z"},"links":{"cited_paper":"/paper/2506.06664","citing_paper":"/paper/2606.31830"},"observation_digest":"sha256:98bed7859a4deb7b143d07506d416a8cab5c0298c96605403a0d6fdec78ef6ac","observation_id":"74181307-d05d-470b-8d33-c7db1116bbf3","resolution":{"observed_at":"2026-07-01T09:55:41.526999Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.06664","snapshot_observed_at":"2026-08-02T01:56:05.657539Z","title":"Generalized trajectory scoring for end-to- end multimodal planning,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.14507","last_updated":"2026-07-16T02:43:13Z","snapshot_observed_at":"2026-08-05T17:21:00.629091Z","submitted_at":"2026-07-16T02:43:13Z","title":"DRIFT: Drift and Aggregation for Motion Planning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-02T01:56:05.657539Z"},"links":{"cited_paper":"/paper/2506.06664","citing_paper":"/paper/2607.14507"},"observation_digest":"sha256:810ab1b2f581f3cfbe46feb84fc5b9bd9b115cbda48ddd93518e2d6213a176ae","observation_id":"a792d65e-9b05-4f59-8206-316e22634284","resolution":{"observed_at":"2026-08-02T01:56:05.657539Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.06664","snapshot_observed_at":"2026-07-30T20:32:29.296690Z","title":"arXiv preprint arXiv:2506.06664 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.23511","last_updated":"2026-07-26T07:20:57Z","snapshot_observed_at":"2026-08-10T00:44:30.793479Z","submitted_at":"2026-07-26T07:20:57Z","title":"MOJITO: Modal Joint Learning for Unified End-to-End Autonomous Driving","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-30T20:32:29.296690Z"},"links":{"cited_paper":"/paper/2506.06664","citing_paper":"/paper/2607.23511"},"observation_digest":"sha256:0612b3471ea7eea069a1326b181f7ce48520dc92fecbef9c559650d24ceee44f","observation_id":"4dabccde-2494-4bab-9f03-ce8bd79827b1","resolution":{"observed_at":"2026-07-30T20:32:29.296690Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2506.06664/citation-record","integrity":"/paper/2506.06664/integrity","json":"/paper/2506.06664/citation-record.json","paper":"/paper/2506.06664"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:59:24.862249Z","title":"Quad: Query-based inter- pretable neural motion planning for autonomous driving","venue":null,"work_id":"8dade734-9166-494c-8c59-c796aac1a5e8","year":2024},"citing_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T05:59:16.130346Z"},"links":{"citing_paper":"/paper/2506.06664"},"observation_digest":"sha256:f2fa783e9c84ae0dade2e170e7844ded8b2699151a7cf2a734240cedd18361ae","observation_id":"c93f02f7-49a1-4be4-935a-edb6326222f7","resolution":{"observed_at":"2026-08-07T05:59:24.973483Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:59:16.204903Z","title":"Pseudo-simulation for autonomous driving.arXiv preprint arXiv:2506.04218, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T05:59:16.204903Z"},"links":{"citing_paper":"/paper/2506.06664"},"observation_digest":"sha256:387c42cee86d5b47bb91eaa5bd7304d9261194f9c2b3cf91c5e1f928459c30b5","observation_id":"c146b2b5-c92f-437e-99be-587ab89ec946","resolution":{"observed_at":"2026-08-07T05:59:16.204903Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.13243","last_updated":"2026-04-17T23:12:55Z","snapshot_observed_at":"2026-08-04T01:21:26.466156Z","submitted_at":"2024-02-20T18:55:09Z","title":"VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.13243","snapshot_observed_at":"2026-08-07T05:59:16.330143Z","title":"Vadv2: End-to-end vectorized autonomous driving via probabilistic planning.arXiv preprint arXiv:2402.13243,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T05:59:16.330143Z"},"links":{"cited_paper":"/paper/2402.13243","citing_paper":"/paper/2506.06664"},"observation_digest":"sha256:42891ecb8b04bd168148c39281ff6c2f075d9addf6478dcf0fb5a8cd69e2b8d6","observation_id":"b0a8ee9f-9a2c-4765-881a-ddf6e1bc00a8","resolution":{"observed_at":"2026-08-07T05:59:16.330143Z","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":"2026-08-07T05:59:24.718681Z","title":"Diffusion policy: Visuomotor policy learning via action diffu- sion.The International Journal of Robotics Research, page 02783649241273668, 2023","venue":null,"work_id":"0987444e-f2c9-4378-81b6-d4671ff768b6","year":2023},"citing_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T05:59:16.486081Z"},"links":{"citing_paper":"/paper/2506.06664"},"observation_digest":"sha256:c74dbc3d26ecfbcc2a31af461aa0fcc2e44ba8753a34fd8b7bd4ab3812011334","observation_id":"5306caa0-75d4-420a-85ef-1eff618cb15e","resolution":{"observed_at":"2026-08-07T05:59:24.755998Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:59:24.506362Z","title":"Transfuser: Imita- tion with transformer-based sensor fusion for autonomous driving.IEEE TPAMI, 2022","venue":null,"work_id":"2c9055a3-f7dd-4172-a055-aea6a4d3801c","year":2022},"citing_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T05:59:16.618746Z"},"links":{"citing_paper":"/paper/2506.06664"},"observation_digest":"sha256:8dc26a4d46e9d3f50cdb704f834ac804ec1e4f8684bb68aedf865a3010af87f2","observation_id":"49bbad5f-4ce6-4b34-98a0-22708c1da92f","resolution":{"observed_at":"2026-08-07T05:59:24.611496Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:59:24.260137Z","title":"Parting with misconceptions about learning- based vehicle motion planning","venue":null,"work_id":"22501a28-445e-4326-bd0c-b4a1284d636c","year":2023},"citing_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T05:59:16.737893Z"},"links":{"citing_paper":"/paper/2506.06664"},"observation_digest":"sha256:2ee905b8271596247bb1db3015e202c462c568e51f0271681d4c21b953a17d6a","observation_id":"b4a84509-6185-412b-b33d-b08a8820658a","resolution":{"observed_at":"2026-08-07T05:59:24.387483Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:59:23.978320Z","title":"Navsim: Data-driven non-reactive autonomous vehicle simulation and benchmarking","venue":null,"work_id":"7e3243ca-4c18-4a87-ab24-579091575273","year":2024},"citing_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T05:59:16.888404Z"},"links":{"citing_paper":"/paper/2506.06664"},"observation_digest":"sha256:08c57fc42e063d1fac9509c0fd859e19e41642fd3497340cbc2365a431090017","observation_id":"5c0b9f7e-072a-4c08-80e2-9f0d1dcbfa0d","resolution":{"observed_at":"2026-08-07T05:59:24.080065Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-08-13T02:40:23.887636Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-07T05:59:16.976644Z","title":"An image is worth 16x16 words: Trans- formers for image recognition at scale.arXiv preprint arXiv:2010.11929, 2020","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T05:59:16.976644Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2506.06664"},"observation_digest":"sha256:8c169431a923430aa39f57da342646f3c3ce15aa88ce2b218a6ce3e7de8c417e","observation_id":"252ac6fe-e31a-4497-bed6-2b45203d4786","resolution":{"observed_at":"2026-08-07T05:59:16.976644Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.11331","last_updated":"2023-03-22T14:10:37Z","snapshot_observed_at":"2026-08-07T07:27:03.329708Z","submitted_at":"2023-03-20T17:59:59Z","title":"EVA-02: A Visual Representation for Neon Genesis","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.11331","snapshot_observed_at":"2026-08-07T05:59:17.101923Z","title":"Eva-02: A visual representation for neon genesis.arXiv preprint arXiv:2303.11331, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T05:59:17.101923Z"},"links":{"cited_paper":"/paper/2303.11331","citing_paper":"/paper/2506.06664"},"observation_digest":"sha256:d60d947f6108e46d9204d61a985e7897d6a36c355cb6ea0863b83b4ec956a70b","observation_id":"21bcb790-b25b-4734-8dab-866192460e9d","resolution":{"observed_at":"2026-08-07T05:59:17.101923Z","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":"2026-08-07T05:59:23.738181Z","title":"Denoising diffu- sion probabilistic models.NeurIPS, 33:6840–6851, 2020","venue":null,"work_id":"f3151724-280c-46e7-a315-239609793d0c","year":2020},"citing_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T05:59:17.229731Z"},"links":{"citing_paper":"/paper/2506.06664"},"observation_digest":"sha256:dc81663d8d672cf81e231250197103a90f1b8062f15ae4d33381fc17c0811833","observation_id":"0e3a7c0a-5988-483a-af3c-3e8c52fd536b","resolution":{"observed_at":"2026-08-07T05:59:23.863695Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:59:23.386846Z","title":"Planning-oriented autonomous driving","venue":null,"work_id":"0600cee4-beff-4cd3-8000-f55c56ec3010","year":2023},"citing_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T05:59:17.370785Z"},"links":{"citing_paper":"/paper/2506.06664"},"observation_digest":"sha256:561b857649a7572fb1598ffdc392b61c701b14fe37f2cbb3ee76785009164467","observation_id":"ea7b8d29-6e9d-45d3-9477-71f8d92dc7f3","resolution":{"observed_at":"2026-08-07T05:59:23.565773Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:59:23.132784Z","title":"Vad: Vectorized scene representation for efficient autonomous driving","venue":null,"work_id":"081c82be-a1fe-4404-96e6-d89ab24c50df","year":null},"citing_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T05:59:17.531141Z"},"links":{"citing_paper":"/paper/2506.06664"},"observation_digest":"sha256:eca501110e683e61f05ea6c2374663d8acbded4f80518c66d43401770d7e7941","observation_id":"51377e77-fbbd-4e7a-94ad-6571637d1cfa","resolution":{"observed_at":"2026-08-07T05:59:23.245377Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:59:22.883675Z","title":"Motiondiffuser: Con- trollable multi-agent motion prediction using diffusion","venue":null,"work_id":"2e088340-00bb-47b9-a6bc-dfd81c0e9cfc","year":2023},"citing_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T05:59:17.673114Z"},"links":{"citing_paper":"/paper/2506.06664"},"observation_digest":"sha256:880b19050317c7a4ba3b32ca284a57808ac47d788f83243db4dff323ff862e62","observation_id":"bb2a809b-7a19-4079-8b00-76594310bb0d","resolution":{"observed_at":"2026-08-07T05:59:23.007795Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:59:22.579402Z","title":"An energy and gpu-computation efficient backbone network for real-time object detection","venue":null,"work_id":"20da1ab3-1964-443a-b584-512e2d438c34","year":2019},"citing_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T05:59:17.786814Z"},"links":{"citing_paper":"/paper/2506.06664"},"observation_digest":"sha256:46f1eb53621885842f6eb48e2c5572226b5eca81eba499d594af95888bd62449","observation_id":"b9f2ea9f-2848-490c-aa05-bd9c770c8d48","resolution":{"observed_at":"2026-08-07T05:59:22.722513Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:59:17.899950Z","title":"Finetuning generative trajectory model with reinforcement learning from human feedback.arXiv preprint arXiv:2503.10434, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T05:59:17.899950Z"},"links":{"citing_paper":"/paper/2506.06664"},"observation_digest":"sha256:2efc9cbe65432f39c3bdd7b905547144edce8ee0bff66af46d2ab9fb457f6f81","observation_id":"92eba3d4-13a6-41c6-a11d-d1373d703eaa","resolution":{"observed_at":"2026-08-07T05:59:17.899950Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.12820","last_updated":"2025-03-17T04:58:09Z","snapshot_observed_at":"2026-08-10T15:46:40.738964Z","submitted_at":"2025-03-17T04:58:09Z","title":"Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.12820","snapshot_observed_at":"2026-08-07T05:59:18.025182Z","title":"Hydra-mdp++: Advancing end-to-end driving via expert- guided hydra-distillation.arXiv preprint arXiv:2503.12820,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T05:59:18.025182Z"},"links":{"cited_paper":"/paper/2503.12820","citing_paper":"/paper/2506.06664"},"observation_digest":"sha256:fda7889e4339b16e3c1eb2a963c289d2bc31797711b068d781b3a8245a8159af","observation_id":"5301f6ca-93b6-4463-a443-48b0485dd976","resolution":{"observed_at":"2026-08-07T05:59:18.025182Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.03031","last_updated":"2024-06-02T09:29:00Z","snapshot_observed_at":"2026-08-13T05:09:38.992563Z","submitted_at":"2023-12-05T11:32:31Z","title":"Is Ego Status All You Need for Open-Loop End-to-End Autonomous Driving?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.03031","snapshot_observed_at":"2026-08-07T05:59:18.129663Z","title":"Is ego status all you need for open-loop end-to-end autonomous driving?arXiv preprint arXiv:2312.03031, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T05:59:18.129663Z"},"links":{"cited_paper":"/paper/2312.03031","citing_paper":"/paper/2506.06664"},"observation_digest":"sha256:8a910523d1f3e8c04e8f39cd52c151f88713227d7eef22d0438d4842824820a1","observation_id":"246494c0-c7eb-4592-81b5-8ec3f8673e6a","resolution":{"observed_at":"2026-08-07T05:59:18.129663Z","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":"2026-08-07T05:59:18.264096Z","title":"Hydra-mdp: End-to-end multimodal planning with multi- target hydra-distillation.arXiv preprint arXiv:2406.06978,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T05:59:18.264096Z"},"links":{"cited_paper":"/paper/2406.06978","citing_paper":"/paper/2506.06664"},"observation_digest":"sha256:b7da687c673d361b3fda2bc57b5c523a9008bf3b045c557ab108fdb13776a03a","observation_id":"8cf4a2ec-e4bc-4247-ae2f-c28f2e8a05d9","resolution":{"observed_at":"2026-08-07T05:59:18.264096Z","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":"2026-08-07T05:59:22.313735Z","title":"Diffusiondrive: Truncated diffusion model for end-to-end autonomous driving","venue":null,"work_id":"7ce048cd-a59e-4eb4-ab98-cf453c940a98","year":2025},"citing_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T05:59:18.385963Z"},"links":{"citing_paper":"/paper/2506.06664"},"observation_digest":"sha256:55f7448630f2de883a9f81b42f88fe85255605c84df89869ad510b07bf50a9e0","observation_id":"1b5d43cf-c00f-4f8a-8f22-51af84d7e76f","resolution":{"observed_at":"2026-08-07T05:59:22.459564Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:59:22.017113Z","title":"Is pseudo-lidar needed for monocular 3d object detection? InICCV, pages 3142–3152, 2021","venue":null,"work_id":"82117b02-b63a-4abe-97ab-3ac4d3b57a8c","year":2021},"citing_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T05:59:18.478820Z"},"links":{"citing_paper":"/paper/2506.06664"},"observation_digest":"sha256:25e01066b6711b26517c482ca491647f7f5ec09e825bd1cdfdd58beb379b2f3d","observation_id":"48674cdd-aa03-4346-945d-bb137349f365","resolution":{"observed_at":"2026-08-07T05:59:22.148576Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.10165","last_updated":"2024-06-14T16:35:47Z","snapshot_observed_at":"2026-08-13T00:24:01.124805Z","submitted_at":"2024-06-14T16:35:47Z","title":"CarLLaVA: Vision language models for camera-only closed-loop driving","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.10165","snapshot_observed_at":"2026-08-07T05:59:18.570814Z","title":"Carllava: Vision language mod- els for camera-only closed-loop driving.arXiv preprint arXiv:2406.10165, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T05:59:18.570814Z"},"links":{"cited_paper":"/paper/2406.10165","citing_paper":"/paper/2506.06664"},"observation_digest":"sha256:5fead260d2b8018881f509e92a8aa5272d13ba394ffe047117cd924b8137fcee","observation_id":"72e4307d-33d0-4567-ae10-668bb23074c8","resolution":{"observed_at":"2026-08-07T05:59:18.570814Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.09594","last_updated":"2025-03-12T17:58:06Z","snapshot_observed_at":"2026-08-12T16:36:42.611899Z","submitted_at":"2025-03-12T17:58:06Z","title":"SimLingo: Vision-Only Closed-Loop Autonomous Driving with Language-Action Alignment","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.09594","snapshot_observed_at":"2026-08-07T05:59:18.722610Z","title":"Simlingo: Vision-only closed-loop autonomous driving with language-action alignment.arXiv preprint arXiv:2503.09594, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T05:59:18.722610Z"},"links":{"cited_paper":"/paper/2503.09594","citing_paper":"/paper/2506.06664"},"observation_digest":"sha256:581a089d093d68d05c0c857d73d07ce4a963f7fc9a3642b3d34774ba8223a649","observation_id":"519bbafd-95a8-45cd-bf88-628e2a8bb1b9","resolution":{"observed_at":"2026-08-07T05:59:18.722610Z","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":"2026-08-07T05:59:21.706376Z","title":"Drivelm: Driving with graph visual question answering","venue":null,"work_id":"34b773e3-6eec-4c1a-b17c-3b7dd708dd0c","year":2024},"citing_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T05:59:18.901858Z"},"links":{"citing_paper":"/paper/2506.06664"},"observation_digest":"sha256:63d1ce6c7f8face2e5a6b44659412d211cdee16b0235bda817b8728b3db900b9","observation_id":"52dcdd84-be84-4d22-93f9-2591ae0b0272","resolution":{"observed_at":"2026-08-07T05:59:21.870028Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.11650","last_updated":"2025-03-14T17:59:41Z","snapshot_observed_at":"2026-08-12T16:36:52.760711Z","submitted_at":"2025-03-14T17:59:41Z","title":"Centaur: Robust End-to-End Autonomous Driving with Test-Time Training","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.11650","snapshot_observed_at":"2026-08-07T05:59:19.064967Z","title":"Centaur: Robust end-to-end autonomous driving with test- time training.arXiv preprint arXiv:2503.11650, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T05:59:19.064967Z"},"links":{"cited_paper":"/paper/2503.11650","citing_paper":"/paper/2506.06664"},"observation_digest":"sha256:93c037c99dddce6d3baea72db684136aafebb15bc3e3033343a548a11caae40d","observation_id":"f3965fe1-8305-472f-bddc-16cbe84428ef","resolution":{"observed_at":"2026-08-07T05:59:19.064967Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.08612","last_updated":"2025-03-11T16:52:45Z","snapshot_observed_at":"2026-08-10T19:51:06.633660Z","submitted_at":"2025-03-11T16:52:45Z","title":"HiP-AD: Hierarchical and Multi-Granularity Planning with Deformable Attention for Autonomous Driving in a Single Decoder","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.08612","snapshot_observed_at":"2026-08-07T05:59:19.215850Z","title":"Hip-ad: Hierarchical and multi-granularity planning with de- formable attention for autonomous driving in a single decoder","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T05:59:19.215850Z"},"links":{"cited_paper":"/paper/2503.08612","citing_paper":"/paper/2506.06664"},"observation_digest":"sha256:f670a1cc8f113e4d120e9c77e81e4de3fb1e5a406f249031bfeaf1d0fc157f83","observation_id":"8337b3e1-df5d-41e8-b2e9-ea6544e51951","resolution":{"observed_at":"2026-08-07T05:59:19.215850Z","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":"2026-08-07T05:59:21.447661Z","title":"Attention is all you need.NeurIPS, 30, 2017","venue":null,"work_id":"82ac3ff0-0555-4b6d-8e80-0c3eacb0fcc1","year":2017},"citing_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T05:59:19.380739Z"},"links":{"citing_paper":"/paper/2506.06664"},"observation_digest":"sha256:761b6d42134e572d181f9cb33f960f85c8b4460f22024253252ad2a47058553a","observation_id":"4d122b20-4fab-44a3-91c8-4f747a7c3d9c","resolution":{"observed_at":"2026-08-07T05:59:21.595695Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:59:21.237113Z","title":"Exploring object-centric temporal modeling for efficient multi-view 3d object detection","venue":null,"work_id":"eaf0547e-15f8-423c-8ecc-155df0759be2","year":2023},"citing_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T05:59:19.539687Z"},"links":{"citing_paper":"/paper/2506.06664"},"observation_digest":"sha256:afa01e2f11f0ba62d02a189e8b363b8fc16a5404b4f7475f8cf59d6b12869e5a","observation_id":"e906758b-4f9b-4363-9b93-f0e751676da4","resolution":{"observed_at":"2026-08-07T05:59:21.318103Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.01533","last_updated":"2025-04-16T15:12:21Z","snapshot_observed_at":"2026-08-13T00:15:57.739233Z","submitted_at":"2024-05-02T17:59:24Z","title":"OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.01533","snapshot_observed_at":"2026-08-07T05:59:19.681762Z","title":"Omnidrive: A holistic llm-agent framework for autonomous driving with 3d perception, reasoning and planning.arXiv preprint arXiv:2405.01533, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T05:59:19.681762Z"},"links":{"cited_paper":"/paper/2405.01533","citing_paper":"/paper/2506.06664"},"observation_digest":"sha256:d90efd3e51d01f1e4c0ebb5de9e5b9cb7cdd6d49f8f28b483a56e0372ac87899","observation_id":"2edf22c9-6e15-4d49-8d75-0bde27554a6a","resolution":{"observed_at":"2026-08-07T05:59:19.681762Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.11643","last_updated":"2024-03-18T10:35:15Z","snapshot_observed_at":"2026-08-13T00:52:03.177587Z","submitted_at":"2024-03-18T10:35:15Z","title":"Diffusion-Based Environment-Aware Trajectory Prediction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.11643","snapshot_observed_at":"2026-08-07T05:59:19.820633Z","title":"Diffusion- based environment-aware trajectory prediction.arXiv preprint arXiv:2403.11643, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T05:59:19.820633Z"},"links":{"cited_paper":"/paper/2403.11643","citing_paper":"/paper/2506.06664"},"observation_digest":"sha256:b722acc9f6e35133c78cc78020379ee06a618bd313758e5ab2d17268bdc0bf0f","observation_id":"3921881e-4b1f-4e38-86bd-85608600ca31","resolution":{"observed_at":"2026-08-07T05:59:19.820633Z","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":"2026-08-07T05:59:20.942109Z","title":"Goalflow: Goal- driven flow matching for multimodal trajectories generation in end-to-end autonomous driving","venue":null,"work_id":"d0b6f50a-647e-4210-8ab7-0ac7c4121491","year":2025},"citing_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T05:59:19.951708Z"},"links":{"citing_paper":"/paper/2506.06664"},"observation_digest":"sha256:c1e6ddb2f5f404d46a7ba62b6350b46ed3207c573777b4c6ce4ab988e6371c23","observation_id":"d1e5cea4-f1f7-41ce-8cb9-42ffa888cc11","resolution":{"observed_at":"2026-08-07T05:59:21.104904Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:59:20.643038Z","title":"Diffusion-es: Gradient-free planning with diffusion for au- tonomous and instruction-guided driving","venue":null,"work_id":"f8fd9af8-e96f-4e28-9953-d5d959f1c459","year":2024},"citing_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T05:59:20.032766Z"},"links":{"citing_paper":"/paper/2506.06664"},"observation_digest":"sha256:4a8838d8fd7226d842ab364833e771f68902eff45d04720ea6d7e2f678ec21f5","observation_id":"1a768e94-c93b-4e76-bb7f-68d1c86b6def","resolution":{"observed_at":"2026-08-07T05:59:20.756640Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.10891","last_updated":"2024-04-07T06:52:21Z","snapshot_observed_at":"2026-08-13T04:38:56.904492Z","submitted_at":"2024-01-19T18:59:52Z","title":"Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.10891","snapshot_observed_at":"2026-08-07T05:59:20.113958Z","title":"Depth anything: Unleash- ing the power of large-scale unlabeled data.arXiv preprint arXiv:2401.10891, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T05:59:20.113958Z"},"links":{"cited_paper":"/paper/2401.10891","citing_paper":"/paper/2506.06664"},"observation_digest":"sha256:d898da7f9f84abf2753a1315effc18b95225f9cce0a1712a60fa3511e550bc22","observation_id":"e32cb9e8-b0ef-4d66-b6cc-7b158b9400bb","resolution":{"observed_at":"2026-08-07T05:59:20.113958Z","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":"2026-08-10T14:07:51.063947Z","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":"2026-08-07T05:59:20.216917Z","title":"Diffusion-based planning for au- tonomous driving with flexible guidance.arXiv preprint arXiv:2501.15564, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T05:59:20.216917Z"},"links":{"cited_paper":"/paper/2501.15564","citing_paper":"/paper/2506.06664"},"observation_digest":"sha256:f57c3ccef326f48438d0889205c30d9ceffc5e67526f63c3c73dce4937f07202","observation_id":"5656855f-0416-4eab-896b-450f0c4f8a11","resolution":{"observed_at":"2026-08-07T05:59:20.216917Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.06664","last_updated":"2025-06-07T05:06:05Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-09T02:59:06.476082Z","submitted_at":"2025-06-07T05:06:05Z","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning"},"reference_resolution":{"displayed":33,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":16,"verified_exact":0,"verified_fuzzy":17},"total_outbound_references":33},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 22 inbound Pith citation observations for arXiv:2506.06664."}