{"as_of":"2026-08-12T09:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:637ce5cbeb7be46a856e89cfce18b1d77569c1274bfa9d9f94d6794604442bc0","coverage":[{"denominator":52,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":52,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-08T18:15:31.806757Z","state":"measured"},{"denominator":52,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":52,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+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/2605.02762/citation-record","integrity":"/paper/2605.02762/integrity","json":"/paper/2605.02762/citation-record.json","paper":"/paper/2605.02762"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Augmenting lane perception and topol- ogy understanding with standard definition navigation maps","venue":null,"work_id":"dd664164-47ee-4663-940f-aafbc5c8e8d1","year":2023},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:4bdd1300a31ffdf8e07c8454aa7b7e72f5e54d427339a184b996ad62bb1abca1","observation_id":"5ea235be-4b66-4dbe-bbc8-84a212eef2ce","resolution":{"observed_at":"2026-05-26T05:27:22.860907Z","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":"2026-06-05T21:23:00.469572Z","title":"Enhancing online road network perception and reasoning with standard definition maps","venue":null,"work_id":"2aa8082e-f753-4522-8690-f890cd13e4f4","year":2024},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:08c0979fd144ff0075c650a304637500f28fb80b94083fb3cfc4a92173bd76c6","observation_id":"9b644a4e-a5b6-4838-90b7-9853a791a4ad","resolution":{"observed_at":"2026-05-26T05:27:22.851652Z","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":"2506.08997","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-03T23:59:06.441401Z","title":"Sdtagnet: Leveraging text-annotated navigation maps for online hd map construction","venue":null,"work_id":"e9fceb15-e708-49f3-aca7-9a9586287d68","year":2025},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:287fa04defd2240a337d260d25fcfd8325c9d890ea32e7a1f24c9fe23965ac6f","observation_id":"47e495d8-063c-4b69-b12a-6fd70a8ebbfe","resolution":{"observed_at":"2026-05-09T06:40:40.031594Z","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Comple- menting onboard sensors with satellite maps: a new perspective for hd map construction","venue":null,"work_id":"3498aa9b-ca3c-494c-bb60-7f85b3ca9329","year":2024},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:6667bec5cdb50f30119aa2b2783f5d7d5343301489ffa6cbd92396c1e4dc683a","observation_id":"667adcdd-1787-4e3e-8349-9b9bc8626daf","resolution":{"observed_at":"2026-05-26T05:27:22.863565Z","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":"2502.04329","last_updated":"2025-02-06T18:59:57Z","snapshot_observed_at":"2026-08-09T09:39:31.494944Z","submitted_at":"2025-02-06T18:59:57Z","title":"SMART: Advancing Scalable Map Priors for Driving Topology Reasoning","version":1},"cited_work":{"arxiv_id":"2502.04329","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.04329","snapshot_observed_at":"2026-07-03T23:59:06.447311Z","title":"SMART: Advancing Scalable Map Priors for Driving Topol- ogy Reasoning","venue":null,"work_id":"6a15ed3d-8d40-4b49-bbbf-1dc50efb9273","year":2025},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"cited_paper":"/paper/2502.04329","citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:a724417ef9a93cb461acc0d9496dfbcb7cd8cf2cad664b67b7e8dda8854fad0d","observation_id":"f7c9b652-c573-4c62-899c-fd41d12b44e9","resolution":{"observed_at":"2026-05-09T06:40:40.089899Z","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Sept: Standard-definition map enhanced scene perception and topology reasoning for autonomous driving","venue":null,"work_id":"d11163ce-5048-4657-abf4-88e55de0f663","year":2025},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:50dc147dbe92fa936959717df55f738508c1c3155a1cdce2da027ab6ebaff71b","observation_id":"6843e448-e3b1-4253-86e0-3658b91d21be","resolution":{"observed_at":"2026-05-26T05:27:22.838971Z","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":"2026-06-05T21:23:00.469572Z","title":"Leveraging sd map to augment hd map-based trajectory prediction","venue":null,"work_id":"bc2adf3e-f44f-450b-9701-c8cf76470301","year":2025},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:ac53c400c7d731c2fec2173148658cf57c2d305603dad3b3835b2a674557d1de","observation_id":"8a9233b4-a189-44e6-9ffd-bce48f878942","resolution":{"observed_at":"2026-05-26T05:27:22.904639Z","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":"2409.05352","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-01T09:55:40.193861Z","title":"arXiv preprint arXiv:2409.05352 , year=","venue":null,"work_id":"174a58c7-9a7d-4616-94d2-1fdcbb62aac1","year":2024},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:8c81838f17cae2942f1bdee5266d0e376b3f519b8f0d76934c316e067b37eac0","observation_id":"2eb39075-cc5e-40d7-afb4-72ac81bf460b","resolution":{"observed_at":"2026-05-09T06:40:40.120288Z","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Maptrv2: An end-to-end framework for online vectorized hd map construction","venue":null,"work_id":"d3bd7e2c-681b-4b48-8bff-a753714116bc","year":2025},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:a99af43c0f5b8fa011001b1c9d09618f0e1107ca3a5ac88765d96941a0acdb8f","observation_id":"bda1bd29-35a2-4703-8f9e-4073f1f52ad7","resolution":{"observed_at":"2026-05-26T05:27:22.842494Z","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":"2026-06-05T21:23:00.469572Z","title":"Leveraging enhanced queries of point sets for vectorized map construction","venue":null,"work_id":"de78d220-a0b4-4e26-b886-2b3bb20528e2","year":2024},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:b56a67aa36ff00746755779a3c25be4aa113b9fc0f65b6f5e51f13fa30891fec","observation_id":"753f0442-913a-4801-a41b-2216e875b112","resolution":{"observed_at":"2026-05-26T05:27:22.854850Z","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":"2026-06-05T21:23:00.469572Z","title":"nuscenes: A multimodal dataset for autonomous driving","venue":null,"work_id":"b51db231-e3c4-4837-8a17-d6e8899ddaf0","year":2020},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:70cdebe93eadc5fc97a2b7dd7f6fdc98a4b25e90bade65d7b337cbef762fbb38","observation_id":"2f92324e-d02e-4f8d-8076-15313e098382","resolution":{"observed_at":"2026-05-26T05:27:22.857823Z","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":"2301.00493","last_updated":"2023-01-02T00:36:22Z","snapshot_observed_at":"2026-07-06T14:36:37.805357Z","submitted_at":"2023-01-02T00:36:22Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","version":1},"cited_work":{"arxiv_id":"2301.00493","doi":"10.48550/arxiv.2301.00493","metadata_source":"pith","pith_arxiv_id":"2301.00493","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","venue":"cs.CV","work_id":"f2f765af-f0ba-41f1-8dd1-37bf1d134d31","year":2023},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"cited_paper":"/paper/2301.00493","citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:d4f5a63e0a7f1c9c286b14dd99d31da7be3327a330e0267945ffd7a2cfc20174","observation_id":"a1cacbed-6b3c-4b52-9e48-4dab66260645","resolution":{"observed_at":"2026-05-12T20:16:37.618269Z","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Vad: Vectorized scene representation for efficient autonomous driving","venue":null,"work_id":"90666fee-3bb6-4a57-a632-62e8f229430d","year":2023},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:cf75e6abacae9db5e8be8548d1940e821e0337c2f4665ac874d3c9fad96e7ca1","observation_id":"b3c3d0ca-f07a-4fc4-9e6e-f5ec22fc7ade","resolution":{"observed_at":"2026-05-26T05:27:22.866806Z","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":"2026-06-05T21:23:00.469572Z","title":"Hdmapnet: An online hd map construction and evaluation framework","venue":null,"work_id":"ff127ecc-6dad-4c13-aa55-fd3b23b95752","year":2022},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:52e9435d92d1cca5784c5aa231f64e00e275afbc9d9e0da66d142baf23265397","observation_id":"d4593134-6d0e-47b1-a58e-b5f3bbfc249f","resolution":{"observed_at":"2026-05-26T05:27:22.848516Z","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":"2026-06-05T21:23:00.469572Z","title":"Vectormapnet: End-to-end vectorized hd map learning","venue":null,"work_id":"dea71a07-5c62-4a3a-a402-145ff7adb16c","year":2023},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:a851196869882df6e3a011d4acf5b6ff0db923125903472c0744c55ef1918b52","observation_id":"796b7da8-3ac6-456e-b84a-a1294f04305f","resolution":{"observed_at":"2026-05-26T05:27:22.897754Z","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":"2208.14437","last_updated":"2023-01-30T02:39:49Z","snapshot_observed_at":"2026-07-06T13:47:00.653824Z","submitted_at":"2022-08-30T17:55:59Z","title":"MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction","version":2},"cited_work":{"arxiv_id":"2208.14437","doi":null,"metadata_source":"pith","pith_arxiv_id":"2208.14437","snapshot_observed_at":"2026-07-08T23:55:43.020604Z","title":"Maptr: Structured modeling and learning for online vectorized hd map construction","venue":"cs.CV","work_id":"0ed904bc-5b16-4da2-869a-925476c47e37","year":2022},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"cited_paper":"/paper/2208.14437","citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:860ad2c7950789e2f5e71cd61691a195d803d622bbccfb23d8fe244e0fdc42b0","observation_id":"76f3bd52-a8bc-4cc0-93e1-ed9d6a7cb4be","resolution":{"observed_at":"2026-05-09T06:40:40.056406Z","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Streammapnet: Streaming mapping network for vectorized online hd map construc- tion","venue":null,"work_id":"c1e892f2-3426-428a-8762-5973c5c324d8","year":2024},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:b6a14f01672b0dbb9fa250d9e3e08a71281df4a0754d02bebb9db24ca7b73828","observation_id":"d209a4ef-a14d-4be2-8d44-98f799863b92","resolution":{"observed_at":"2026-05-26T05:27:22.834821Z","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":"2026-06-05T21:23:00.469572Z","title":"Maptracker: Track- ing with strided memory fusion for consistent vector hd mapping","venue":null,"work_id":"24490cda-1f28-48ed-8592-6ba68033ea84","year":2024},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:d95d7f672ca200b1ceaed1e1b37d91076f7234374b567f20a7615b4a634ffb7a","observation_id":"3cc22e6f-e14c-45be-907e-6a1f971b0fa1","resolution":{"observed_at":"2026-05-26T05:27:22.876144Z","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":"2026-06-05T21:23:00.469572Z","title":"Himap: Hybrid representation learning for end-to-end vectorized hd map construction","venue":null,"work_id":"d34329be-eda5-4469-8775-a01790c304af","year":2024},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:cc378c4b3e434d9d06aa4a7fc26607090398f5f3af4a817e0a90f0070381bfce","observation_id":"647efa9b-2cfd-43ac-a2bf-1bc12a948ebe","resolution":{"observed_at":"2026-05-26T05:27:22.879945Z","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":"2026-06-05T21:23:00.469572Z","title":"Chameleon: Fast-slow neuro-symbolic lane topology extraction","venue":null,"work_id":"de1a99c8-cb58-4028-8ac2-9dc764c4c1a6","year":2025},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:7371718c545fedc42292581560700379e32d1f2d6d16530d0eedaa8e3d5ba954","observation_id":"b916c53c-3b16-4c65-b0f4-fed021144174","resolution":{"observed_at":"2026-05-26T05:27:22.873009Z","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":"2026-06-05T21:23:00.469572Z","title":"Reusing attention for one-stage lane topology understanding","venue":null,"work_id":"2c3c0d67-23e0-410b-a721-3a70711a0670","year":2025},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:74a49532ac1d74f76f169046d2db3402de6b924c7e7a5a5ee3cdf3a055b46287","observation_id":"79c43c8a-e776-4744-b5d5-7dfa0115bb52","resolution":{"observed_at":"2026-05-26T05:27:22.911648Z","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":"2026-06-05T21:23:00.469572Z","title":"Openlane-v2: A topology reasoning bench- mark for unified 3d hd mapping","venue":null,"work_id":"ff3e506d-4821-4eef-8b91-32366cf968ca","year":2023},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:8b63b9e09fc76bb1da91e0bf0409209abb6646181396389ea636b6ddabe1e1a3","observation_id":"63f0b50d-e268-457a-8340-a30894ac8e3d","resolution":{"observed_at":"2026-05-26T05:27:22.908343Z","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":"2304.05277","last_updated":"2023-08-28T10:51:09Z","snapshot_observed_at":"2026-07-06T15:14:28.574778Z","submitted_at":"2023-04-11T15:23:29Z","title":"Graph-based Topology Reasoning for Driving Scenes","version":2},"cited_work":{"arxiv_id":"2304.05277","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.05277","snapshot_observed_at":"2026-07-01T09:55:40.191791Z","title":"Graph-based topology reasoning for driving scenes","venue":null,"work_id":"89590b9a-8ddb-4253-8750-604958c9e45c","year":2023},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"cited_paper":"/paper/2304.05277","citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:64399ecd526a47606a4e58687bf1b43daaf079ad8e36e148ddef5d623976837a","observation_id":"90d24a62-8a47-4499-9ca5-7e18b26adb39","resolution":{"observed_at":"2026-05-09T06:40:40.066473Z","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":"2310.06753","last_updated":"2023-11-01T06:15:00Z","snapshot_observed_at":"2026-08-06T23:03:18.539691Z","submitted_at":"2023-10-10T16:24:51Z","title":"TopoMLP: A Simple yet Strong Pipeline for Driving Topology Reasoning","version":2},"cited_work":{"arxiv_id":"2310.06753","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.06753","snapshot_observed_at":"2026-07-01T09:05:36.939108Z","title":"TopoMLP: A Simple yet Strong Pipeline for Driving Topology Reasoning","venue":null,"work_id":"dc2e6f70-ad12-4277-86d8-d371eec28d22","year":2023},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"cited_paper":"/paper/2310.06753","citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:462ae6044b0070ce9aa423a925751e3afbb3e7fa25cda9b171b0ea0e4559e513","observation_id":"c51a035f-1004-420f-9ff4-b19b3f43aefa","resolution":{"observed_at":"2026-05-09T06:40:40.108261Z","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":null,"cited_work":{"arxiv_id":"2312.16108","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T05:46:01.494830Z","title":"LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving","venue":null,"work_id":"8563e2e1-fcd7-4cb4-9d7b-b699436f41c7","year":2023},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:39c4d9b43f433f6a0d03ec8c4f160d56bcf2d7ec1cb39dcf0f5bd61f147d7d60","observation_id":"96b291a0-a701-4df4-bc62-33fc9c0a469e","resolution":{"observed_at":"2026-05-09T06:40:40.100504Z","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Mtr++: Multi-agent mo- tion prediction with symmetric scene modeling and guided intention querying","venue":null,"work_id":"566bee8f-f9f5-4e5e-b378-70702b7d59cf","year":2024},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:04c32227d06260b1b561b39f9ef43fc9e092e583e5ffdbb820435bcf9a485892","observation_id":"272ae5f6-63ca-4428-a144-aaf4c4bcf9c3","resolution":{"observed_at":"2026-05-26T05:27:22.887678Z","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":"2026-06-05T21:23:00.469572Z","title":"Densetnt: End-to-end trajectory predic- tion from dense goal sets","venue":null,"work_id":"2ffa0c2f-bbb5-423a-858a-b8b8492bcd9a","year":2021},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:ad4e7720532408cabf964d31be8bf114c810d058f95431b4c4a0d64b1d3ee95c","observation_id":"0bae2f8b-00e5-4280-8478-28e55b67b970","resolution":{"observed_at":"2026-05-26T05:27:22.805606Z","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":"2026-06-05T21:23:00.469572Z","title":"Hivt: Hierarchical vector transformer for multi-agent motion prediction","venue":null,"work_id":"f329a3be-0382-4b8f-87d1-3f7873c5d0ca","year":2022},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:117b3b22c93b8e7f2d01f54d6c7dbb0f277c1785b879cf237a1e3d4f05d865b9","observation_id":"ea49638d-8ca2-4faa-ab1b-ad2ddc6abc11","resolution":{"observed_at":"2026-05-26T05:27:22.894547Z","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":"2026-06-05T21:23:00.469572Z","title":"Query-centric trajectory prediction","venue":null,"work_id":"668091bc-8006-4b1c-ac5f-885e42a11d32","year":2023},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:2879160c4f84125acb0a0e7a25069803875e4c6014f1df2dc1d68b363067f456","observation_id":"727498e8-56b3-4c22-8ba3-8275ef63257f","resolution":{"observed_at":"2026-05-26T05:27:22.901012Z","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":"2026-06-05T21:23:00.469572Z","title":"Accelerating online mapping and behavior prediction via direct bev feature attention","venue":null,"work_id":"bea0fc3c-b61b-4468-90f6-0bb56e609e94","year":2024},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:03cc0177f680f9b5b717c152f6300b661699ac7bc49250f3e939806f9568a9fb","observation_id":"8453b8fd-ae04-4f73-998b-772a27de2cfd","resolution":{"observed_at":"2026-05-26T05:27:22.883930Z","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":"2026-06-05T21:23:00.469572Z","title":"Pro- ducing and leveraging online map uncertainty in trajectory prediction","venue":null,"work_id":"506d9255-ce6a-4152-b6e3-3e9b4fca004b","year":2024},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:3f84796e8a634038d06368f03c8c6702aac970ef9d76591581097f43f629876a","observation_id":"4604de6e-b3c8-4e23-872a-dba138a6bc23","resolution":{"observed_at":"2026-05-26T05:27:22.845755Z","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":"2026-06-05T21:23:00.469572Z","title":"Presight: Enhancing autonomous vehicle perception with city-scale nerf priors","venue":null,"work_id":"4ee52f0a-5395-4ddd-ace8-59c1c197ea2b","year":2024},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:34b7e63595a3cb5427a6d5cf18c345f7d3a8af216587729a9fa067485f90498c","observation_id":"0e68012e-1abe-4f30-902a-c8b105b4081d","resolution":{"observed_at":"2026-05-26T05:27:22.826219Z","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":"2026-06-05T21:23:00.469572Z","title":"Neural map prior for autonomous driving","venue":null,"work_id":"1c7fa50d-73e2-45d2-9127-e9c5451d3cc8","year":2023},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:615534c7fab5b4b23413b86d56cbc2e31ba9fd82d1a202697e54bb7620396f2a","observation_id":"977686fe-5bfd-4309-b683-3d1d48cadf22","resolution":{"observed_at":"2026-05-26T05:27:22.891331Z","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":"2026-06-05T21:23:00.469572Z","title":"P-mapnet: Far-seeing map generator enhanced by both sdmap and hdmap priors","venue":null,"work_id":"b697bef6-2079-4ea5-b5ae-876ec30f5601","year":2024},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:e0ee995ba620e7f9201f1a34bf8f4bc9abebe0af12b7260a7a66c28077446c74","observation_id":"29e2f2fe-dfe8-4e9f-9b3e-db18c10e9def","resolution":{"observed_at":"2026-05-26T05:27:22.801961Z","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":"2026-06-05T21:23:00.469572Z","title":"Planning-oriented autonomous driving","venue":null,"work_id":"222af9ca-c8c6-4c3a-99a9-22ee61512c56","year":2023},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:145242be033eed8ca6ab7eeca4778b30d3c98c39e86f63cf775b3df2928a82cb","observation_id":"0127d60f-cc3f-4980-9381-17d3d65c46a9","resolution":{"observed_at":"2026-05-26T05:27:22.869849Z","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":"2026-06-05T21:23:00.469572Z","title":"Is ego status all you need for open-loop end-to-end autonomous driving?","venue":null,"work_id":"0a5c034d-2754-4fc9-b862-2236a8491289","year":2024},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:2fefd46a47a0446cd0bb900f0bdb32b8573e28b7c58e29b8de24424a86d0938d","observation_id":"e742ed34-dacb-4b5f-9d4e-b0d9eccd7f03","resolution":{"observed_at":"2026-05-26T05:27:22.792137Z","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":"2406.06978","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":"2406.06978","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.06978","snapshot_observed_at":"2026-07-10T08:36:59.824360Z","title":"Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation","venue":"cs.CV","work_id":"c1e2622d-92db-4a96-aa17-8ef832270ed1","year":2024},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"cited_paper":"/paper/2406.06978","citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:44c7ec0d87d4fdd29ad1fe3cd57c33a20b9929dc96365b001cb4983e4ff0f91f","observation_id":"33e6ef7e-d677-41f9-8463-fd439a6f5052","resolution":{"observed_at":"2026-05-13T23:13:55.802367Z","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Delving into mapping uncertainty for mapless trajectory prediction","venue":null,"work_id":"1727ec10-d0e6-4269-aab4-d46d2f9eb617","year":2025},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:d60052ee92e61b1580c11867169b0b44c0ece03c375978fb0d5740d8ef0407ac","observation_id":"3b52ee3c-3830-4742-bca2-ea9bd1bd0156","resolution":{"observed_at":"2026-05-26T05:27:22.830413Z","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":"2603.07686","last_updated":"2026-05-11T02:00:11Z","snapshot_observed_at":"2026-07-06T22:48:18.122928Z","submitted_at":"2026-03-08T15:43:02Z","title":"UniUncer: Unified Dynamic Static Uncertainty for End to End Driving","version":2},"cited_work":{"arxiv_id":"2603.07686","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2603.07686","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Uniuncer: Unified dynamic static uncertainty for end to end driving","venue":null,"work_id":"0f619dc2-e3b2-4a1d-b050-1251add280c1","year":2026},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"cited_paper":"/paper/2603.07686","citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:418a5cf95b903698a59154cd7659c2bab81925dce2085642dc3db20edec65c14","observation_id":"75b62281-6bb1-48da-979f-28baf3b92aa3","resolution":{"observed_at":"2026-05-12T02:46:32.457889Z","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Diffusiondrive: Truncated diffusion model for end-to-end autonomous driving","venue":null,"work_id":"9ec7a57b-8338-495c-83c2-8d9e423a5de2","year":2025},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:b43b9062d1564092f19370e20ede99fa533799289cd276e2b0ca99f003bd8475","observation_id":"5740cc54-7fb3-42e7-b1a5-b6be16b705c7","resolution":{"observed_at":"2026-05-26T05:27:22.813182Z","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":"2026-06-05T21:23:00.469572Z","title":"Goalflow: Goal-driven flow matching for multimodal trajectories generation in end-to-end autonomous driving","venue":null,"work_id":"74215b27-be2d-4480-90a7-f64718c89809","year":2025},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:c637b82c3caab801d589cd068c859a90b3bb928d1661bf1f7ee14dbf32b34e7b","observation_id":"7812a546-44d2-430d-8890-cf178daf3bd6","resolution":{"observed_at":"2026-05-26T05:27:22.795568Z","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":"2026-06-05T21:23:00.469572Z","title":"Genad: Generative end-to-end autonomous driving","venue":null,"work_id":"f744ff10-749e-4d6c-9f41-2b015a3e84fd","year":2024},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:16efa03d4dae355ba72104f1287c05a6d2811b3796a9e8352f684e5800036c9a","observation_id":"b07bf488-174d-4594-86f8-d70ed0bb9449","resolution":{"observed_at":"2026-05-26T05:27:22.798666Z","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":"2405.19620","last_updated":"2024-05-31T07:40:55Z","snapshot_observed_at":"2026-08-10T19:51:01.972734Z","submitted_at":"2024-05-30T02:13:56Z","title":"SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation","version":2},"cited_work":{"arxiv_id":"2405.19620","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.19620","snapshot_observed_at":"2026-07-03T16:58:42.635973Z","title":"arXiv preprint arXiv:2405.19620 2405.19620","venue":null,"work_id":"ab76b028-ef32-4b28-ab6a-d72ff4c2d234","year":2024},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"cited_paper":"/paper/2405.19620","citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:c4033573ccb07f3501c65d8e43ddf4912c1d363dd7d944347fd44d3c04fa5d66","observation_id":"b261ffc8-4f5d-4c6f-a930-e1842f7c113c","resolution":{"observed_at":"2026-05-09T06:40:40.094097Z","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":"2506.24113","last_updated":"2025-06-30T17:56:35Z","snapshot_observed_at":"2026-08-08T02:57:16.646869Z","submitted_at":"2025-06-30T17:56:35Z","title":"Epona: Autoregressive Diffusion World Model for Autonomous Driving","version":1},"cited_work":{"arxiv_id":"2506.24113","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.24113","snapshot_observed_at":"2026-07-04T10:09:44.888694Z","title":"Epona: Autoregressive diffusion world model for autonomous driving","venue":null,"work_id":"7d7e7a5c-4cdf-4658-9731-f7cfe9fc6bb3","year":2025},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"cited_paper":"/paper/2506.24113","citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:c7f2836b35bcba6583c6c71c3c9053cce1532b0bcaf21081a03d9690dfb859d6","observation_id":"463d015c-b4e2-47f3-af4f-0cd846cdbbe4","resolution":{"observed_at":"2026-05-09T06:40:40.049966Z","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Don’t shake the wheel: Momentum-aware planning in end-to-end autonomous driving","venue":null,"work_id":"076107e5-786c-44a4-8840-eea5109f1372","year":2025},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:607403b6f806fd5f412b98d25fda1527ec64edfdf8b8dada549fe9f8caf9115a","observation_id":"48719d13-5585-4ea7-9924-91b37b91b9a8","resolution":{"observed_at":"2026-05-26T05:27:22.915183Z","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":"2026-06-05T21:23:00.469572Z","title":"Bridging past and future: End-to-end autonomous driving with historical prediction and planning","venue":null,"work_id":"88ae20f8-795f-4b09-a412-7688c99d8a02","year":2025},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:c92becb3be67b73c5256318f2f3c94c92bc930611d3c53d5533291832bdacffd","observation_id":"5540bea7-ce48-4c04-8618-d0d22abfe12e","resolution":{"observed_at":"2026-05-26T05:27:22.822922Z","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":"2503.19755","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":"2503.19755","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.19755","snapshot_observed_at":"2026-07-04T08:49:42.181123Z","title":"ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation","venue":"cs.CV","work_id":"c3fa58f6-0efb-4d29-a673-a2f26228ba6d","year":2025},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"cited_paper":"/paper/2503.19755","citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:49db557d0592d69e002a8a53c320e38ad005360a0eeacc7e29426bb9c53f001c","observation_id":"3020d5c4-8ca5-42e8-8210-d7615a6bea67","resolution":{"observed_at":"2026-05-17T08:10:39.718006Z","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":null,"cited_work":{"arxiv_id":"2506.00034","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-04T19:30:08.077070Z","title":"Gaussianfusion: Gaussian-based multi-sensor fu- sion for end-to-end autonomous driving","venue":null,"work_id":"395e81fd-8107-4b55-807f-5d8aa00a9407","year":2025},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:95f9f01fe2e0bf7404eeb81ee14053e7cfc829451013ab637b82f5352d12d350","observation_id":"23d2b056-22b5-4288-8e2d-15e774574844","resolution":{"observed_at":"2026-05-09T06:40:40.059935Z","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Openstreetmap: User-generated street maps","venue":null,"work_id":"3977ac27-28ad-4070-a3ea-03582463a4e3","year":2008},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:abae96ad78a50ceafb3c2cba5fd5aa991658136fc94fa8f350fd62218ec074fa","observation_id":"af840b86-a303-413e-ad2c-31a567e1e65a","resolution":{"observed_at":"2026-05-26T05:27:22.816458Z","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":"2026-06-05T21:23:00.469572Z","title":"Deep residual learning for image recognition","venue":null,"work_id":"7daea29f-9d72-41bc-9a8e-080c70967f78","year":2016},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:f4f8613aa1e2a2d147a9937e442f755211928bea7e4a7c1ef405010efdd5f6cb","observation_id":"e3876863-741d-4dca-920a-f62297da7087","resolution":{"observed_at":"2026-05-26T05:27:22.819696Z","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":"2311.10517","last_updated":"2024-03-14T15:09:08Z","snapshot_observed_at":"2026-08-09T06:03:34.192030Z","submitted_at":"2023-11-17T13:40:10Z","title":"Mind the map! Accounting for existing map information when estimating online HDMaps from sensor","version":2},"cited_work":{"arxiv_id":"2311.10517","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2311.10517","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Mind the map! accounting for existing map information when estimating online hdmaps from sensor","venue":null,"work_id":"058caf86-ea4f-496d-8e8c-277be78d468d","year":2023},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"cited_paper":"/paper/2311.10517","citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:33c46f6c2094d8c40c1cc2bf665eff118d8576a733f880945f09352dadd8f478","observation_id":"3f22d758-7d44-4d54-bf30-03a846da0aaf","resolution":{"observed_at":"2026-05-09T06:40:40.084683Z","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Mgmap: Mask-guided learning for online vectorized hd map construction","venue":null,"work_id":"1df7b1a3-3c58-4726-aba9-95c6bb1bdd62","year":2024},"citing_paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-08T18:15:31.806757Z"},"links":{"citing_paper":"/paper/2605.02762"},"observation_digest":"sha256:75a7aaae4cf0f1b817eee7e7f69263c11d2d771e3b832397509cb0f5e24ce266","observation_id":"4a8672ca-f0d1-4d87-b244-63ba1fb80d67","resolution":{"observed_at":"2026-05-26T05:27:22.809334Z","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"}}],"paper":{"arxiv_id":"2605.02762","last_updated":"2026-05-04T16:01:30Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-11T16:36:20.773465Z","submitted_at":"2026-05-04T16:01:30Z","title":"Unified Map Prior Encoder for Mapping and Planning"},"reference_resolution":{"displayed":52,"state_counts":{"malformed_identifier":0,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":0,"verified_exact":13,"verified_fuzzy":37},"total_outbound_references":52},"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 12 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2605.02762."}