{"as_of":"2026-08-09T22:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3447dc5c0784dedff599439a9b07d025d6723ad588c52dfb3498bda739d9f298","coverage":[{"denominator":26,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":26,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:56:42.562812Z","state":"measured"},{"denominator":26,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":26,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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/2505.23129/citation-record","integrity":"/paper/2505.23129/integrity","json":"/paper/2505.23129/citation-record.json","paper":"/paper/2505.23129"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2106.11810","last_updated":"2022-02-04T02:50:02Z","snapshot_observed_at":"2026-08-09T09:38:45.203903Z","submitted_at":"2021-06-22T14:24:55Z","title":"NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.11810","snapshot_observed_at":"2026-08-07T12:56:40.990806Z","title":"nuplan: A closed-loop ml-based plan- ning benchmark for autonomous vehicles","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.23129","last_updated":"2025-05-29T05:59:24Z","snapshot_observed_at":"2026-08-07T12:50:30.240018Z","submitted_at":"2025-05-29T05:59:24Z","title":"HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:40.990806Z"},"links":{"cited_paper":"/paper/2106.11810","citing_paper":"/paper/2505.23129"},"observation_digest":"sha256:9fcc2ebd61bfa7499226c355f16b05f7247fee9a27a2c6c6967a7390005300e4","observation_id":"e56c1f10-320c-4c6f-a96e-cc7cbf0a7897","resolution":{"observed_at":"2026-08-07T12:56:40.990806Z","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":"2026-08-07T12:56:41.031114Z","title":"Vadv2: End-to-end vectorized autonomous driving via probabilistic planning","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.23129","last_updated":"2025-05-29T05:59:24Z","snapshot_observed_at":"2026-08-07T12:50:30.240018Z","submitted_at":"2025-05-29T05:59:24Z","title":"HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:41.031114Z"},"links":{"cited_paper":"/paper/2402.13243","citing_paper":"/paper/2505.23129"},"observation_digest":"sha256:463a0cccd4f521b77f274749ce8b30c5941471ade41c659b3042f8d9a3b0978d","observation_id":"b61bd6e4-e618-472f-8c7f-173f390ae975","resolution":{"observed_at":"2026-08-07T12:56:41.031114Z","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":"2026-08-07T12:56:44.919715Z","title":"Lopez, and Adrien Gaidon","venue":null,"work_id":"e91113d4-48a1-43f5-9006-aec29b75a7bc","year":2019},"citing_paper":{"arxiv_id":"2505.23129","last_updated":"2025-05-29T05:59:24Z","snapshot_observed_at":"2026-08-07T12:50:30.240018Z","submitted_at":"2025-05-29T05:59:24Z","title":"HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:41.087667Z"},"links":{"citing_paper":"/paper/2505.23129"},"observation_digest":"sha256:86d374992f6f2ea58a6e8cd25b25e1d985fc7db57c388bd87238804d1bcd5748","observation_id":"61ee043e-4d3f-4116-a989-b1acf3baf079","resolution":{"observed_at":"2026-08-07T12:56:44.959771Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:56:44.798373Z","title":"Openscene: The largest up-to- date 3d occupancy prediction benchmark in autonomous driving","venue":null,"work_id":"adc8bdb1-c5fa-414e-8cf3-f810ec6ed4e1","year":2023},"citing_paper":{"arxiv_id":"2505.23129","last_updated":"2025-05-29T05:59:24Z","snapshot_observed_at":"2026-08-07T12:50:30.240018Z","submitted_at":"2025-05-29T05:59:24Z","title":"HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:41.168893Z"},"links":{"citing_paper":"/paper/2505.23129"},"observation_digest":"sha256:99547c450d3f577a2d023dfbcd0c9c176108c13ac5a1b62086dabd69ac75e273","observation_id":"43965c37-9e2a-4944-aec8-0605df890ea8","resolution":{"observed_at":"2026-08-07T12:56:44.869024Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:56:44.684340Z","title":"Navsim: Data-driven non-reactive autonomous vehicle simulation and benchmarking","venue":null,"work_id":"d3d98659-6d63-4bf2-a2c3-f3592a4f539a","year":2024},"citing_paper":{"arxiv_id":"2505.23129","last_updated":"2025-05-29T05:59:24Z","snapshot_observed_at":"2026-08-07T12:50:30.240018Z","submitted_at":"2025-05-29T05:59:24Z","title":"HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:41.224511Z"},"links":{"citing_paper":"/paper/2505.23129"},"observation_digest":"sha256:bb2944c21789584ff4265c5816ae9c070f1a2a81f3e1adf2d7d817745f448fce","observation_id":"8ba99cfa-571f-4990-b30e-df48d96de3f2","resolution":{"observed_at":"2026-08-07T12:56:44.720057Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:56:44.546946Z","title":"Hint-ad: Holistically aligned interpretability in end-to-end autonomous driving","venue":null,"work_id":"1c09158d-72db-4af6-ae70-457b90dd86db","year":2024},"citing_paper":{"arxiv_id":"2505.23129","last_updated":"2025-05-29T05:59:24Z","snapshot_observed_at":"2026-08-07T12:50:30.240018Z","submitted_at":"2025-05-29T05:59:24Z","title":"HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:41.288661Z"},"links":{"citing_paper":"/paper/2505.23129"},"observation_digest":"sha256:7fd45f1f944ddaee2c29958616a21b9cddf1d6ef25c99705575232e8ed2fa702","observation_id":"68921fb2-2d1f-497b-a3dd-d7dc7fe865f8","resolution":{"observed_at":"2026-08-07T12:56:44.623116Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:56:44.429835Z","title":null,"venue":null,"work_id":"d142f6aa-3d1e-48a2-a17e-d286ae0f2357","year":2023},"citing_paper":{"arxiv_id":"2505.23129","last_updated":"2025-05-29T05:59:24Z","snapshot_observed_at":"2026-08-07T12:50:30.240018Z","submitted_at":"2025-05-29T05:59:24Z","title":"HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:41.362787Z"},"links":{"citing_paper":"/paper/2505.23129"},"observation_digest":"sha256:9e4f8bc22715f82000c3547313e189ebf7e0ff15a2b6cb7f2f2413fb5e286921","observation_id":"51c06b58-5c6b-43bd-9c1a-4fe476a59275","resolution":{"observed_at":"2026-08-07T12:56:44.464301Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:56:44.313958Z","title":"From semi-supervised to omni-supervised room layout esti- mation using point clouds","venue":null,"work_id":"fe32cf20-32c5-4bc1-9cfa-f6426fbb2f8c","year":2023},"citing_paper":{"arxiv_id":"2505.23129","last_updated":"2025-05-29T05:59:24Z","snapshot_observed_at":"2026-08-07T12:50:30.240018Z","submitted_at":"2025-05-29T05:59:24Z","title":"HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:41.412759Z"},"links":{"citing_paper":"/paper/2505.23129"},"observation_digest":"sha256:fea428a0fc2b36f72e2c9d2b233f01e2790f8ca6b499394ce1197a5160aee377","observation_id":"4a251604-e35a-402d-9b26-d337451da037","resolution":{"observed_at":"2026-08-07T12:56:44.369732Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:56:44.157676Z","title":"Dqs3d: Densely-matched quantization- aware semi-supervised 3d detection","venue":null,"work_id":"e12585a7-e90a-424d-b70a-3bdb186be165","year":2023},"citing_paper":{"arxiv_id":"2505.23129","last_updated":"2025-05-29T05:59:24Z","snapshot_observed_at":"2026-08-07T12:50:30.240018Z","submitted_at":"2025-05-29T05:59:24Z","title":"HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:41.521907Z"},"links":{"citing_paper":"/paper/2505.23129"},"observation_digest":"sha256:5ef9310ac232a99410fea54c67ba6c465054d90aed2441f4ed6c60a2177fbf45","observation_id":"a1a83491-c08a-4c00-a3af-e4c4288a171d","resolution":{"observed_at":"2026-08-07T12:56:44.218853Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2208.11434","last_updated":"2022-08-24T11:00:27Z","snapshot_observed_at":"2026-07-06T13:44:56.079012Z","submitted_at":"2022-08-24T11:00:27Z","title":"YOLOPv2: Better, Faster, Stronger for Panoptic Driving Perception","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2208.11434","snapshot_observed_at":"2026-08-07T12:56:41.607891Z","title":"Yolopv2: Better, faster, stronger for panoptic driving perception","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.23129","last_updated":"2025-05-29T05:59:24Z","snapshot_observed_at":"2026-08-07T12:50:30.240018Z","submitted_at":"2025-05-29T05:59:24Z","title":"HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:41.607891Z"},"links":{"cited_paper":"/paper/2208.11434","citing_paper":"/paper/2505.23129"},"observation_digest":"sha256:f3cf7e4e8c23d54362ef4fdde17d7cda30e7771dc477b5c230bf0da4b2c4698a","observation_id":"992d83ff-b30f-4e5a-ae07-e82fd73a0b80","resolution":{"observed_at":"2026-08-07T12:56:41.607891Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:56:41.700504Z","title":"Deep residual learning for image recognition","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2505.23129","last_updated":"2025-05-29T05:59:24Z","snapshot_observed_at":"2026-08-07T12:50:30.240018Z","submitted_at":"2025-05-29T05:59:24Z","title":"HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:41.700504Z"},"links":{"citing_paper":"/paper/2505.23129"},"observation_digest":"sha256:f15cb0d29c8d86d8867c66bfd2f87eaac85d95ff05eb672a968ecbf05bcd113b","observation_id":"6966ed7b-f8c6-4e8d-bdb0-bdc0a6ba0ba1","resolution":{"observed_at":"2026-08-07T12:56:41.700504Z","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":"2026-08-07T12:56:44.042877Z","title":"Planning-oriented autonomous driv- ing","venue":null,"work_id":"5d8474fa-29c9-4f2b-9610-5aab28ce13fd","year":2023},"citing_paper":{"arxiv_id":"2505.23129","last_updated":"2025-05-29T05:59:24Z","snapshot_observed_at":"2026-08-07T12:50:30.240018Z","submitted_at":"2025-05-29T05:59:24Z","title":"HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:41.779938Z"},"links":{"citing_paper":"/paper/2505.23129"},"observation_digest":"sha256:e9a13edba3b13d03848c88e6e3f47f0eedb36a2db9d647f8ad12383140bcc7cd","observation_id":"fc5df526-736b-4822-b5ff-0308190034a4","resolution":{"observed_at":"2026-08-07T12:56:44.095651Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:56:43.883312Z","title":"Planning-oriented autonomous driv- ing","venue":null,"work_id":"fb33ad32-344f-45ec-adef-73ae0275237b","year":2023},"citing_paper":{"arxiv_id":"2505.23129","last_updated":"2025-05-29T05:59:24Z","snapshot_observed_at":"2026-08-07T12:50:30.240018Z","submitted_at":"2025-05-29T05:59:24Z","title":"HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:41.863345Z"},"links":{"citing_paper":"/paper/2505.23129"},"observation_digest":"sha256:cb3bfb4153bbad6e1e855a3984cd5a29da4a17c4e3ebf154ac1f81af2cecdead","observation_id":"9872c0e8-139f-46bc-ab0e-6518640a05a1","resolution":{"observed_at":"2026-08-07T12:56:43.948084Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:56:43.736967Z","title":"Vad: Vectorized scene representation for efficient autonomous driving","venue":null,"work_id":"fd2457ee-903e-4b0f-abb3-a5bffaec31a7","year":2023},"citing_paper":{"arxiv_id":"2505.23129","last_updated":"2025-05-29T05:59:24Z","snapshot_observed_at":"2026-08-07T12:50:30.240018Z","submitted_at":"2025-05-29T05:59:24Z","title":"HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:41.904774Z"},"links":{"citing_paper":"/paper/2505.23129"},"observation_digest":"sha256:286a7716527843283307a2d664a259f0e5b7f9417195ea5f2d7d028c74d79c3d","observation_id":"fcd3e0d2-85c6-4ac4-ae43-4ec16d20055a","resolution":{"observed_at":"2026-08-07T12:56:43.804388Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.10521","last_updated":"2024-03-29T04:21:27Z","snapshot_observed_at":"2026-08-05T17:37:47.033253Z","submitted_at":"2024-03-15T17:59:53Z","title":"P-MapNet: Far-seeing Map Generator Enhanced by both SDMap and HDMap Priors","version":3},"cited_work":{"arxiv_id":"2403.10521","doi":null,"metadata_source":"pith","pith_arxiv_id":"2403.10521","snapshot_observed_at":"2026-08-07T12:56:42.733767Z","title":"P-MapNet: Far-seeing Map Generator Enhanced by both SDMap and HDMap Priors","venue":"cs.CV","work_id":"a1fdd3e1-4561-4486-a85f-510f0283956c","year":2024},"citing_paper":{"arxiv_id":"2505.23129","last_updated":"2025-05-29T05:59:24Z","snapshot_observed_at":"2026-08-07T12:50:30.240018Z","submitted_at":"2025-05-29T05:59:24Z","title":"HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:41.955687Z"},"links":{"cited_paper":"/paper/2403.10521","citing_paper":"/paper/2505.23129"},"observation_digest":"sha256:7830439dd3b27270a8ba16d93a1d57f57b0333ea354d204e681927babc595630","observation_id":"ff7ecb40-9314-4a1f-9ebf-e108d4278be1","resolution":{"observed_at":"2026-08-07T12:56:42.765802Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:56:43.636966Z","title":"Learning to drive in a day","venue":null,"work_id":"7d359994-18f1-4d5c-a31b-8b66c613e41b","year":2019},"citing_paper":{"arxiv_id":"2505.23129","last_updated":"2025-05-29T05:59:24Z","snapshot_observed_at":"2026-08-07T12:50:30.240018Z","submitted_at":"2025-05-29T05:59:24Z","title":"HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:42.004072Z"},"links":{"citing_paper":"/paper/2505.23129"},"observation_digest":"sha256:5a1a58fd64865310b36011ab1a988b3c302ea6c3014c4122ed9c9600d0d91bb3","observation_id":"78993c30-4055-4b55-8947-076332808cd7","resolution":{"observed_at":"2026-08-07T12:56:43.678058Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.13771","last_updated":"2024-07-18T17:59:57Z","snapshot_observed_at":"2026-08-09T22:10:21.931952Z","submitted_at":"2024-07-18T17:59:57Z","title":"Training-Free Model Merging for Multi-target Domain Adaptation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.13771","snapshot_observed_at":"2026-08-07T12:56:42.027971Z","title":"Training-free model merging for multi- target domain adaptation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.23129","last_updated":"2025-05-29T05:59:24Z","snapshot_observed_at":"2026-08-07T12:50:30.240018Z","submitted_at":"2025-05-29T05:59:24Z","title":"HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:42.027971Z"},"links":{"cited_paper":"/paper/2407.13771","citing_paper":"/paper/2505.23129"},"observation_digest":"sha256:3a0d2508a24b17696b92b303afef7fab90dc8d8442a25eb4c4562c1a1a1d96ea","observation_id":"d30ad177-a1a3-433f-86f9-83b00e1e3477","resolution":{"observed_at":"2026-08-07T12:56:42.027971Z","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":"2026-08-07T12:56:42.065305Z","title":"Hydra-mdp: End-to-end multimodal planning with multi- target hydra-distillation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.23129","last_updated":"2025-05-29T05:59:24Z","snapshot_observed_at":"2026-08-07T12:50:30.240018Z","submitted_at":"2025-05-29T05:59:24Z","title":"HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:42.065305Z"},"links":{"cited_paper":"/paper/2406.06978","citing_paper":"/paper/2505.23129"},"observation_digest":"sha256:dfc5e136d760b4ab3b2428a9201b745257fd5865fa15e862a51c8b1d86923e27","observation_id":"47547eea-f421-4a95-a617-a9b4c220149a","resolution":{"observed_at":"2026-08-07T12:56:42.065305Z","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":"2026-08-07T12:56:43.550572Z","title":"Bevformer: learning bird’s-eye-view representation from lidar-camera via spatiotemporal transformers","venue":null,"work_id":"5da6065c-dada-4d55-a82e-9d6a6065e547","year":2024},"citing_paper":{"arxiv_id":"2505.23129","last_updated":"2025-05-29T05:59:24Z","snapshot_observed_at":"2026-08-07T12:50:30.240018Z","submitted_at":"2025-05-29T05:59:24Z","title":"HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:42.164122Z"},"links":{"citing_paper":"/paper/2505.23129"},"observation_digest":"sha256:84e08d62c52ae0f6a1500c1c36ec3ea95efbd5d0f8c880616d56a8b39c5ae775","observation_id":"67f6a92f-db3d-46f2-82db-46c3f378f1d0","resolution":{"observed_at":"2026-08-07T12:56:43.588456Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.15139","last_updated":"2025-04-10T08:48:37Z","snapshot_observed_at":"2026-07-06T19:55:37.400185Z","submitted_at":"2024-11-22T18:59:47Z","title":"DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.15139","snapshot_observed_at":"2026-08-07T12:56:42.237836Z","title":"Diffusiondrive: Truncated diffusion model for end-to-end autonomous driving","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23129","last_updated":"2025-05-29T05:59:24Z","snapshot_observed_at":"2026-08-07T12:50:30.240018Z","submitted_at":"2025-05-29T05:59:24Z","title":"HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:42.237836Z"},"links":{"cited_paper":"/paper/2411.15139","citing_paper":"/paper/2505.23129"},"observation_digest":"sha256:816df9bbe4a4622ca8d85ce000fecd82422956d4c9ad0e036759c06a81dd7fb1","observation_id":"efe9c5d3-be8d-4bbe-82fe-14344f57a76f","resolution":{"observed_at":"2026-08-07T12:56:42.237836Z","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":"2026-08-07T12:56:43.369450Z","title":"Multi- modal fusion transformer for end-to-end autonomous driv- ing","venue":null,"work_id":"5ad9a885-b1a2-4932-8a21-96fad14d5e60","year":2021},"citing_paper":{"arxiv_id":"2505.23129","last_updated":"2025-05-29T05:59:24Z","snapshot_observed_at":"2026-08-07T12:50:30.240018Z","submitted_at":"2025-05-29T05:59:24Z","title":"HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:42.290356Z"},"links":{"citing_paper":"/paper/2505.23129"},"observation_digest":"sha256:8a2f54c87dc0019961ffaca2eaf58a85b43e53a243f47acf992aa18543fd36a3","observation_id":"b78f4d29-d130-4d38-9349-7ebf2a083f6d","resolution":{"observed_at":"2026-08-07T12:56:43.428973Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.11650","last_updated":"2025-03-14T17:59:41Z","snapshot_observed_at":"2026-08-07T17:03:10.411008Z","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":"2026-08-07T12:56:42.328881Z","title":"Centaur: Robust end-to-end autonomous driving with test-time training","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.23129","last_updated":"2025-05-29T05:59:24Z","snapshot_observed_at":"2026-08-07T12:50:30.240018Z","submitted_at":"2025-05-29T05:59:24Z","title":"HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:42.328881Z"},"links":{"cited_paper":"/paper/2503.11650","citing_paper":"/paper/2505.23129"},"observation_digest":"sha256:33f3fa2ae89bd01dfc77848a820df4aa043f7487d86108cd501611aaab5e5930","observation_id":"5c15c721-8ca2-46a4-b9c7-1ef12511e5df","resolution":{"observed_at":"2026-08-07T12:56:42.328881Z","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":"2026-08-07T12:56:43.270317Z","title":"Unsupervised road anomaly de- tection with language anchors","venue":null,"work_id":"3fb88257-bdb7-4020-b11e-99fe593c2e81","year":2023},"citing_paper":{"arxiv_id":"2505.23129","last_updated":"2025-05-29T05:59:24Z","snapshot_observed_at":"2026-08-07T12:50:30.240018Z","submitted_at":"2025-05-29T05:59:24Z","title":"HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:42.387889Z"},"links":{"citing_paper":"/paper/2505.23129"},"observation_digest":"sha256:4a92f17cddf6a3e70cb4ebda51e8bff259c33530e04ee6ee4ee57bad20c28673","observation_id":"0132fa64-bf9d-443f-8863-20b5143aa064","resolution":{"observed_at":"2026-08-07T12:56:43.319142Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:56:43.132080Z","title":"Autonomous ve- hicle motion planning via recurrent spline optimization","venue":null,"work_id":"fb6b2559-e3df-4ace-9826-358d5bb5eb50","year":2021},"citing_paper":{"arxiv_id":"2505.23129","last_updated":"2025-05-29T05:59:24Z","snapshot_observed_at":"2026-08-07T12:50:30.240018Z","submitted_at":"2025-05-29T05:59:24Z","title":"HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:42.471948Z"},"links":{"citing_paper":"/paper/2505.23129"},"observation_digest":"sha256:adcb97a430f122cb0fea6fdbf8af513d535de1ab411386cad4c60bb191c38622","observation_id":"a5189347-9c51-4b3b-b418-619746e9fc15","resolution":{"observed_at":"2026-08-07T12:56:43.209551Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:56:43.024340Z","title":"End-to-end urban driving by imitat- ing a reinforcement learning coach","venue":null,"work_id":"7b6a993d-08f6-4dcf-b11c-03486492ee5e","year":2021},"citing_paper":{"arxiv_id":"2505.23129","last_updated":"2025-05-29T05:59:24Z","snapshot_observed_at":"2026-08-07T12:50:30.240018Z","submitted_at":"2025-05-29T05:59:24Z","title":"HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:42.520219Z"},"links":{"citing_paper":"/paper/2505.23129"},"observation_digest":"sha256:74d348d94048f1a67d068b58b538a53e31904ba9911d42ff642d635c87099ef9","observation_id":"62eff842-5e55-4ed8-ae35-abbed5d864e8","resolution":{"observed_at":"2026-08-07T12:56:43.070770Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:56:42.890573Z","title":"Steps: Joint self-supervised nighttime image enhancement and depth estimation","venue":null,"work_id":"2e3092fd-0b80-4541-80a6-da64ae5b75b0","year":2023},"citing_paper":{"arxiv_id":"2505.23129","last_updated":"2025-05-29T05:59:24Z","snapshot_observed_at":"2026-08-07T12:50:30.240018Z","submitted_at":"2025-05-29T05:59:24Z","title":"HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T12:56:42.562812Z"},"links":{"citing_paper":"/paper/2505.23129"},"observation_digest":"sha256:0b925423597afcad958eb3c0bfdf46e0e7abcc55968c1bafec78349314bc06d2","observation_id":"c3ab655a-c4d8-4891-b1ec-e2afc73d33fa","resolution":{"observed_at":"2026-08-07T12:56:42.979173Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.23129","last_updated":"2025-05-29T05:59:24Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T12:50:30.240018Z","submitted_at":"2025-05-29T05:59:24Z","title":"HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target Scoring"},"reference_resolution":{"displayed":26,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":9,"verified_exact":1,"verified_fuzzy":16},"total_outbound_references":26},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2505.23129."}