{"as_of":"2026-08-12T08:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:835748d820cf918edad554607426c0829a41276e5c32635b5f824854c772fe88","coverage":[{"denominator":71,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":71,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T12:22:24.151610Z","state":"measured"},{"denominator":72,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":72,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T23:36:20.129404Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-11T00:16:15.729268Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"cited_work":{"arxiv_id":"2412.16229","doi":"10.48550/arxiv.2412.16229","metadata_source":"pith","pith_arxiv_id":"2412.16229","snapshot_observed_at":"2026-08-11T00:16:15.729268Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","venue":"cs.CV","work_id":"59a42feb-9e61-4697-bc16-330df5a671ed","year":2024},"citing_paper":{"arxiv_id":"2501.00056","last_updated":"2024-12-28T13:01:44Z","snapshot_observed_at":"2026-08-10T23:28:36.829178Z","submitted_at":"2024-12-28T13:01:44Z","title":"Transforming CCTV cameras into NO$_2$ sensors at city scale for adaptive policymaking","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-10T23:36:20.129404Z"},"links":{"cited_paper":"/paper/2412.16229","citing_paper":"/paper/2501.00056"},"observation_digest":"sha256:28399e4419ef3b707c46e2af663467ea5cbe02747d5ac688e9859b2b86079753","observation_id":"25ab440a-0b34-475d-afbd-a4ff53adb175","resolution":{"observed_at":"2026-08-10T23:36:20.340228Z","resolver_source":"local_arxiv","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"}}],"links":{"evidence":"/evidence","html":"/paper/2412.16229/citation-record","integrity":"/paper/2412.16229/integrity","json":"/paper/2412.16229/citation-record.json","paper":"/paper/2412.16229"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2208.02797","last_updated":"2023-06-07T03:32:39Z","snapshot_observed_at":"2026-08-09T19:24:49.147023Z","submitted_at":"2022-08-04T17:53:17Z","title":"Vision-Centric BEV Perception: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2208.02797","snapshot_observed_at":"2026-08-11T12:22:23.812356Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:23.812356Z"},"links":{"cited_paper":"/paper/2208.02797","citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:40a85ef756d2ed9696d7291ff9a4ca63071e8a7ae28cc61238ebcf8486a5cf79","observation_id":"bbb287de-970f-440f-ade9-72c0c30f07a2","resolution":{"observed_at":"2026-08-11T12:22:23.812356Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.05324","last_updated":"2023-09-27T16:15:13Z","snapshot_observed_at":"2026-08-11T22:32:39.251793Z","submitted_at":"2022-09-12T15:29:13Z","title":"Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe","version":4},"cited_work":{"arxiv_id":"2209.05324","doi":null,"metadata_source":"pith","pith_arxiv_id":"2209.05324","snapshot_observed_at":"2026-08-11T12:22:25.619801Z","title":"Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe","venue":"cs.CV","work_id":"235d4f9f-4108-41df-8bab-ec77d6433dde","year":2022},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:23.818257Z"},"links":{"cited_paper":"/paper/2209.05324","citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:b339cb494c34f6f18d97c3a72b2bff051c11c38206137511836d946f9b98165c","observation_id":"7573eca8-495d-4adb-9cd3-bf858cff17e7","resolution":{"observed_at":"2026-08-11T12:22:25.624399Z","resolver_source":"local_arxiv","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":"2006.14480","last_updated":"2020-11-16T21:16:49Z","snapshot_observed_at":"2026-08-12T07:43:26.279914Z","submitted_at":"2020-06-25T15:23:41Z","title":"One Thousand and One Hours: Self-driving Motion Prediction Dataset","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.14480","snapshot_observed_at":"2026-08-11T12:22:23.823441Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:23.823441Z"},"links":{"cited_paper":"/paper/2006.14480","citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:397c5e5930574ade662159dfb53a041bc56a295df464af14d23eb0275d7276a5","observation_id":"e7672975-7931-4254-8836-7e44883e5118","resolution":{"observed_at":"2026-08-11T12:22:23.823441Z","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":"2019.10248","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:22:25.579231Z","title":"Cities 96, 102481 (2020) https://doi.org/10.1016/j.cities.2019.102481","venue":null,"work_id":"1d8a8453-ad94-4380-88d1-a978f83b096e","year":2020},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:23.828828Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:ef1a0b7ffe6ffba3961021a7249c993f2a39b0cfc999d39c62496bfc5fe6b956","observation_id":"572b0c4d-05d9-456a-a13d-66dfd67d1db8","resolution":{"observed_at":"2026-08-11T12:22:25.587293Z","resolver_source":"raw_fallback","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":"1811.08188","last_updated":"2018-11-20T11:31:53Z","snapshot_observed_at":"2026-07-06T07:15:59.689829Z","submitted_at":"2018-11-20T11:31:53Z","title":"Orthographic Feature Transform for Monocular 3D Object Detection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1811.08188","snapshot_observed_at":"2026-08-11T12:22:23.834467Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:23.834467Z"},"links":{"cited_paper":"/paper/1811.08188","citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:3e3300dc756e780cab99c50be3e9343201a152da96bab68780eac20f310e5780","observation_id":"c14005f1-c6fa-48af-8951-43ea57b3f881","resolution":{"observed_at":"2026-08-11T12:22:23.834467Z","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":"2010.56582","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:22:25.491569Z","title":"In: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems, Xiamen, China, pp","venue":null,"work_id":"4c65d1ff-2e9d-43c7-a126-18a13ca223b6","year":2010},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:23.839265Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:009c8127d5c5ce0ee16f3ce024df9920d526ef6a2ca86ccfc030d602307adf7a","observation_id":"03b83a36-5f7a-43e3-88ed-a0221c047ec6","resolution":{"observed_at":"2026-08-11T12:22:25.498184Z","resolver_source":"raw_fallback","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":"2003.82121","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:22:25.414419Z","title":"IEEE Trans","venue":null,"work_id":"5dd06bbb-32e2-4055-b3a0-b5448515963d","year":2003},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:23.844623Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:a3dac60b367cae21a2a54bf645728a7bbae68493784f99fe0b20725182a51391","observation_id":"82320384-f48e-4d2e-82ae-4db2f724e44f","resolution":{"observed_at":"2026-08-11T12:22:25.420150Z","resolver_source":"raw_fallback","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":"7785.2019","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:22:25.342441Z","title":"In: 2019 IEEE 5th International Conference on Wireless and Telematics (ICWT), Yogyakarta, Indonesia, pp","venue":null,"work_id":"1ed88eea-0237-4452-9c42-82fa196dc76e","year":2019},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:23.848649Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:3657da4bf0369cfc3d31db49f0550d8cdba1c668ea52dfb492b8878834accc68","observation_id":"c2456685-e4ab-4e3c-81ee-12316492e6d3","resolution":{"observed_at":"2026-08-11T12:22:25.348714Z","resolver_source":"raw_fallback","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":"2026-08-11T12:22:25.988855Z","title":"International Journal of Scientific & Engineering Research 3(5), 4 (2012)","venue":null,"work_id":"10f9ace2-0498-4da4-bd7a-1f7c60b76b84","year":2012},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:23.852654Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:ba8ada822be63a2755ebdeba2d7d0f183bf18d8dd096bc989d3bc588626feb86","observation_id":"d9f44f3e-e46b-4d81-a630-86b295104e82","resolution":{"observed_at":"2026-08-11T12:22:25.992913Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:22:25.976128Z","title":"Sensors 12(4), 4431–4446 (2012) https://doi.org/10","venue":null,"work_id":"de0a00f9-1c4d-4260-af2f-7dbbd88a10ae","year":2012},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:23.856892Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:cdb446364f5fc85200decd3e431ebcf0f6505f0b04b1297670f47d239d1de868","observation_id":"f4c065df-4d6b-4feb-a9cc-709989b4b210","resolution":{"observed_at":"2026-08-11T12:22:25.980835Z","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":"10.2991/aime-17.2017.52","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:22:24.245733Z","title":"In: Proceedings of the International Conference Actual Issues of Mechanical Engineering 2017 (AIME 2017), Tomsk, Russia (2017)","venue":null,"work_id":"2d76b376-2607-4648-b3b2-63ba13148808","year":2017},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:23.863335Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:5c6208e5332510e81365b5c071d785c8ed597421f46c90e436a3b8321a7a696a","observation_id":"a69cf182-7b42-4b43-b793-a2b1309b7ea6","resolution":{"observed_at":"2026-08-11T12:22:24.249972Z","resolver_source":"doi","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":"1803.03396","last_updated":"2018-03-29T17:18:49Z","snapshot_observed_at":"2026-08-12T07:00:18.507466Z","submitted_at":"2018-03-09T06:53:36Z","title":"Cross-View Image Synthesis using Conditional GANs","version":2},"cited_work":{"arxiv_id":"1803.03396","doi":null,"metadata_source":"pith","pith_arxiv_id":"1803.03396","snapshot_observed_at":"2026-08-11T12:22:25.279217Z","title":"Cross-View Image Synthesis using Conditional GANs","venue":"cs.CV","work_id":"7738f692-bc9a-4b80-97b8-9ad386cb84a7","year":2018},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:23.868905Z"},"links":{"cited_paper":"/paper/1803.03396","citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:df97e3dfb7f296850f12c7c1bfd09d2276fefd5e52cce4464ba353117820fd49","observation_id":"0b1962e9-6bf5-4bf0-aa63-54b971ad61ad","resolution":{"observed_at":"2026-08-11T12:22:25.283305Z","resolver_source":"local_arxiv","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":"2002.08394","last_updated":"2020-02-19T19:16:34Z","snapshot_observed_at":"2026-07-06T08:58:36.557649Z","submitted_at":"2020-02-19T19:16:34Z","title":"MonoLayout: Amodal scene layout from a single image","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.08394","snapshot_observed_at":"2026-08-11T12:22:23.875033Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:23.875033Z"},"links":{"cited_paper":"/paper/2002.08394","citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:7037027bacc78a2239884bda79c4967bb7e11108a2fcee7a0010bc5fdb1dea6b","observation_id":"ee006bb7-dfbb-4072-96cb-43390b91f37b","resolution":{"observed_at":"2026-08-11T12:22:23.875033Z","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":"2026-08-11T12:22:25.962212Z","title":"Proceedings of the IEEE 111(3), 257–276 (2023)","venue":null,"work_id":"5739fc4b-b7af-4843-a8a3-5a65ea96046d","year":2023},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:23.881763Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:00b56c90ba0fd8d0ba1dced31f5ddd833c95c0e867112683eac224932e376988","observation_id":"5d8a9779-b1c6-44d5-b99f-aa1545113809","resolution":{"observed_at":"2026-08-11T12:22:25.966256Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:22:25.949781Z","title":"International journal of computer vision 128, 261–318 (2020)","venue":null,"work_id":"9ec23928-45df-4acb-ac3a-2ba6ec76d31b","year":2020},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:23.887296Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:30906c1a23ccef626cbdfba4ed148d27dbcb82aab9e1b96fed1dd6a4d5875153","observation_id":"d625451a-ff38-476b-a668-4add028b96c8","resolution":{"observed_at":"2026-08-11T12:22:25.954274Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:22:25.934477Z","title":"IEEE access 7, 128837–128868 (2019)","venue":null,"work_id":"3b87d3dd-7ad5-49cb-b96e-7de63467a2b9","year":2019},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:23.891483Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:3d19ea65d60737d6a65ea617ed1a97c4260afa57528f1cf714c385c7d09e2ec3","observation_id":"3af45e27-cff8-4503-b880-84fc4ecad317","resolution":{"observed_at":"2026-08-11T12:22:25.938638Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:22:25.921575Z","title":"In: 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05), vol","venue":null,"work_id":"d426a4fb-e228-4544-84c1-f58cebb7b5e1","year":2005},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:23.895951Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:2e6285a4cc2edefd24a9aefa848b44857af4beeb9090568b48268a36b89162bb","observation_id":"57652066-e2d5-4b2d-9645-f8b3c3bf4ae2","resolution":{"observed_at":"2026-08-11T12:22:25.925883Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:22:25.908321Z","title":null,"venue":null,"work_id":"3693add8-47f5-4c19-bf7d-45c27273b8d8","year":2004},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:23.900448Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:50db0477269a5bb63dd295ad478f2239c17ce498befbe1b1ea1a5762cb3c457e","observation_id":"90cd7fce-9b28-48e3-9ee0-229b2d89b0f2","resolution":{"observed_at":"2026-08-11T12:22:25.912700Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:22:23.906093Z","title":"IEEE Intelligent Systems and their applications 13(4), 18–28 (1998)","venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:23.906093Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:2e5e17677d65344fc48abdf80970e4468efa962aa8588437f1933ce13e76f8a7","observation_id":"a51c571a-a789-476b-a9e8-ff0cfa6b8cab","resolution":{"observed_at":"2026-08-11T12:22:23.906093Z","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":"2026-08-11T12:22:25.888324Z","title":"In: Proceedings of the IEEE International Conference on Computer Vision, pp","venue":null,"work_id":"aff0d252-3c05-4213-b531-3da4929a6847","year":2015},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:23.910758Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:84bf70d863a6b7cfd365a8e279ed873823170c39e89be4c29a2437079094cdea","observation_id":"dfb1b164-638d-446a-8c9d-242e30192ab8","resolution":{"observed_at":"2026-08-11T12:22:25.892454Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:22:25.874757Z","title":"In: Proceedings of the IEEE International Conference on Computer Vision, pp","venue":null,"work_id":"93fdf4b7-6f03-43a4-aca4-a9a29c60cc75","year":2015},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:23.915637Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:e5cd57dda32381267eacfb4625d0d6cafc37241e137459972a6a5b9fbba60864","observation_id":"7e16a71f-5d41-4113-9258-eb599735f783","resolution":{"observed_at":"2026-08-11T12:22:25.879510Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:22:23.920129Z","title":"In: 2017 IEEE Con- ference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, pp","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:23.920129Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:56f666aaedea24d91cbac08a9ccd0362f0c4a54cac7e70786552d78ed3b8576d","observation_id":"63cb1dcf-f947-4624-8a50-c8aa50074f77","resolution":{"observed_at":"2026-08-11T12:22:23.920129Z","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":"2026-08-11T12:22:25.860873Z","title":"https://github.com/ultralytics/yolov5 (2021)","venue":null,"work_id":"83dd8d19-a68b-4193-bf03-597b05f87dde","year":2021},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:23.924805Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:a0832fe0a445f02d4669e1b66aaf58f3ab8cbb858b2b60fecf1b3c57ef2ad80d","observation_id":"8c612751-1c04-4f92-87ac-0b918eca11ac","resolution":{"observed_at":"2026-08-11T12:22:25.865335Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:22:23.929655Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:23.929655Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:c1cef4916b342d5ab6e8a3a98455ed48f12fb8618429a20a8a5933810227235e","observation_id":"604d74a2-97b8-45a2-bb5d-35dd46003af3","resolution":{"observed_at":"2026-08-11T12:22:23.929655Z","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":"2026-08-11T12:22:23.933870Z","title":"In: Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11–14, 2016, Proceedings, Part I 14, pp","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:23.933870Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:0eb9e8c73256b36ce6997e7af2b76028aac8ecccab26f41466aa40eda50b0edc","observation_id":"eb439ed4-2518-438f-90dd-e96ddd20dd20","resolution":{"observed_at":"2026-08-11T12:22:23.933870Z","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":"2026-08-11T12:22:23.938429Z","title":"In: Proceedings of the Seventh IEEE International Conference on Computer Vision, Kerkyra, Greece, pp","venue":null,"work_id":null,"year":1999},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:23.938429Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:5ae6b1653789c7d88c72056330e762fa0dcd4ba41433a104b83744411d46b09c","observation_id":"d5c9c00a-037b-4d2e-a367-6157dfc91b4d","resolution":{"observed_at":"2026-08-11T12:22:23.938429Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2019.00666","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:22:25.092877Z","title":"In: 2019 IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, Korea (South), pp","venue":null,"work_id":"e484f0a8-21c6-4fc9-a247-15f7f8a15c25","year":2019},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:23.942752Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:c42af497bd1b8148afb6fc2387f4891ea972e70a434e886e033b61b329ad32c2","observation_id":"705b8a27-b179-4be5-a202-4036c6f9bd29","resolution":{"observed_at":"2026-08-11T12:22:25.099160Z","resolver_source":"raw_fallback","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":"10.3390/s100302027","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:22:24.224453Z","title":"Sensors 10(3), 2027–2044 (2010) https: //doi.org/10.3390/s100302027","venue":null,"work_id":"f545a181-70ed-4d78-b672-9a7da2233840","year":2010},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:23.947162Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:62248b2600718a8665e69c7dc7c28cbd5b33b011f44dc17d489c40dafac063aa","observation_id":"8bf36fca-6a3f-41b9-a356-983774d53c93","resolution":{"observed_at":"2026-08-11T12:22:24.229369Z","resolver_source":"doi","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":"10.1016/j.patcog.2012.04.006","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:22:24.208512Z","title":"Frana, M.B., Piai, J.C.: A new robust algorithmic for multi-camera calibration with a 1d object under general motions without prior knowledge of any camera intrinsic parameter","venue":null,"work_id":"428aaf95-f09f-4dd0-afad-0701d48d2814","year":2012},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:23.951649Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:5d66286b70528444ce7155ce46ca82bbab60d222b03e66b001481a9d2e2e4b6d","observation_id":"1a073e1b-300a-43e3-a847-7bcccb5165e0","resolution":{"observed_at":"2026-08-11T12:22:24.214780Z","resolver_source":"doi","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":"1999.82108","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:22:25.009361Z","title":"In: Proceedings 199 IEEE/IEEJ/JSAI International Confer- ence on Intelligent Transportation Systems (Cat","venue":null,"work_id":"83ededc5-f678-495c-aa53-4495e88a27c4","year":1999},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:23.956132Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:4dbc7f93acc18e44b1570886fa416c1b21590262770a0511aff4bff5e02f6494","observation_id":"53ef480f-762f-40a4-8609-23b1b139e22c","resolution":{"observed_at":"2026-08-11T12:22:25.017722Z","resolver_source":"raw_fallback","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":"2019.88140","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:22:24.927638Z","title":"In: 2019 IEEE Intelligent Vehicles Symposium (IV), Paris, France, pp","venue":null,"work_id":"d6b79c0d-dea4-473b-8526-b7a8811ff6cc","year":2019},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:23.960949Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:445cbef4e44d78a02fde4e1e0ff0eaf52ea78f61275c754d2efd162b231803e9","observation_id":"9630e9d4-efc8-44ed-b1c3-d1bc521745bc","resolution":{"observed_at":"2026-08-11T12:22:24.934239Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:22:25.832859Z","title":null,"venue":null,"work_id":"1431381c-81f7-45eb-b995-c0e728fd45ca","year":2020},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:23.964832Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:7460c5977571b9ad9bd43ef700e21b6f3c75a277f5c441735be79112f7287f5f","observation_id":"b3b9c9a5-a3d1-47b6-b499-ad3a250e25ae","resolution":{"observed_at":"2026-08-11T12:22:25.836835Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2006.09917","last_updated":"2020-06-17T14:56:08Z","snapshot_observed_at":"2026-08-11T17:38:47.603161Z","submitted_at":"2020-06-17T14:56:08Z","title":"FISHING Net: Future Inference of Semantic Heatmaps In Grids","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.09917","snapshot_observed_at":"2026-08-11T12:22:23.969611Z","title":"24 arXiv","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:23.969611Z"},"links":{"cited_paper":"/paper/2006.09917","citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:3aecc2d8edb06d7e1d69d8af4e8645d4c7c28f4cea99905465f211cd19d80157","observation_id":"983351bf-36ea-41de-b081-1e99238f91e8","resolution":{"observed_at":"2026-08-11T12:22:23.969611Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2008.01179","last_updated":"2020-08-29T13:35:09Z","snapshot_observed_at":"2026-08-07T10:22:26.818073Z","submitted_at":"2020-08-03T20:36:28Z","title":"PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving","version":3},"cited_work":{"arxiv_id":"2008.01179","doi":null,"metadata_source":"pith","pith_arxiv_id":"2008.01179","snapshot_observed_at":"2026-08-11T12:22:24.848364Z","title":"PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving","venue":"cs.CV","work_id":"3baf6fbe-a48f-4903-b0f4-39f25dcf807d","year":2020},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:23.976440Z"},"links":{"cited_paper":"/paper/2008.01179","citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:2e3a46bf0f726ab94c060080f41be46821442679baa00d7d1c831250f774b53c","observation_id":"a7520979-a2d5-4b21-a423-9cf16d331863","resolution":{"observed_at":"2026-08-11T12:22:24.852697Z","resolver_source":"local_arxiv","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":"2206.01256","last_updated":"2022-11-14T07:58:14Z","snapshot_observed_at":"2026-08-10T02:19:37.673462Z","submitted_at":"2022-06-02T19:13:03Z","title":"PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.01256","snapshot_observed_at":"2026-08-11T12:22:23.981383Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:23.981383Z"},"links":{"cited_paper":"/paper/2206.01256","citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:e8af7f1a8b13bbaf04f11070debe87c7b0d0959cddea0bfe7b094a24410267f7","observation_id":"a11ce965-91a6-4488-9514-37a29d4305e7","resolution":{"observed_at":"2026-08-11T12:22:23.981383Z","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":"2026-08-11T12:22:25.821263Z","title":null,"venue":null,"work_id":"40eacc4d-24d2-4d52-bb9f-092e305c48c0","year":2022},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:23.986024Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:50fe9c55d91eac3112a1e252b27689b28c450f38faccdb816b2e59973bee8c11","observation_id":"cf9d8d5e-a32f-4251-8a85-fac8c801c7c7","resolution":{"observed_at":"2026-08-11T12:22:25.825204Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2205.09743","last_updated":"2022-05-19T17:55:35Z","snapshot_observed_at":"2026-08-11T22:31:30.064037Z","submitted_at":"2022-05-19T17:55:35Z","title":"BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.09743","snapshot_observed_at":"2026-08-11T12:22:23.991139Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:23.991139Z"},"links":{"cited_paper":"/paper/2205.09743","citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:3e265dedb3e60fc6e30fae9dfa2fe82aa29889eb33bb65cac4e3a5ad4001b6d3","observation_id":"3e54c0d4-d9ad-4dd5-b679-568bdefd9f17","resolution":{"observed_at":"2026-08-11T12:22:23.991139Z","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":"2026-08-11T12:22:25.809854Z","title":null,"venue":null,"work_id":"b972571f-93dc-4c81-b274-880d6d645edf","year":2022},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:23.995458Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:8e773fdc5101dbcadaef4e3ff0af97bb7bccbaefb1c19e711b1a8c9c1a7f39e8","observation_id":"9d3f79fb-c6ab-40d3-8a5f-9157b58247b6","resolution":{"observed_at":"2026-08-11T12:22:25.813778Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2020.30043","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:22:24.806577Z","title":"IEEE Robot","venue":null,"work_id":"8eba32f5-9a4e-46aa-81af-5e2f2dab012b","year":2020},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:23.999234Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:457a6d0a259e154506792b070b7e1f77ce94f64cb5565861626c6cc203a637db","observation_id":"24dcbf82-0a47-4d66-b975-9e4ccd3e02d6","resolution":{"observed_at":"2026-08-11T12:22:24.813669Z","resolver_source":"raw_fallback","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":"2203.04050","last_updated":"2022-08-17T03:28:41Z","snapshot_observed_at":"2026-07-06T12:45:31.933831Z","submitted_at":"2022-03-08T12:39:51Z","title":"BEVSegFormer: Bird's Eye View Semantic Segmentation From Arbitrary Camera Rigs","version":3},"cited_work":{"arxiv_id":"2203.04050","doi":null,"metadata_source":"pith","pith_arxiv_id":"2203.04050","snapshot_observed_at":"2026-08-11T12:22:24.733346Z","title":"BEVSegFormer: Bird's Eye View Semantic Segmentation From Arbitrary Camera Rigs","venue":"cs.CV","work_id":"0327fe69-f8cd-4558-9867-ec8400c428cc","year":2022},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:24.003303Z"},"links":{"cited_paper":"/paper/2203.04050","citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:79bf2582e809d92a6c71c448f78e916fa21e67e5dc179a269195525ba5d32aa8","observation_id":"95641b6f-967c-4a8a-be49-30e9cb91efc0","resolution":{"observed_at":"2026-08-11T12:22:24.737737Z","resolver_source":"local_arxiv","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":"2206.13294","last_updated":"2022-11-26T14:56:22Z","snapshot_observed_at":"2026-08-06T11:32:01.600778Z","submitted_at":"2022-06-27T13:37:50Z","title":"LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation","version":2},"cited_work":{"arxiv_id":"2206.13294","doi":null,"metadata_source":"pith","pith_arxiv_id":"2206.13294","snapshot_observed_at":"2026-08-11T12:22:24.716029Z","title":"LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation","venue":"cs.CV","work_id":"0953f1c9-01e8-49e9-8307-82fd4cf3d855","year":2022},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:24.009584Z"},"links":{"cited_paper":"/paper/2206.13294","citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:9f3f73f9cbe909684d4c15eda3d0a2623573a55fe411b8d033325d79b3f95a37","observation_id":"0eea5f43-c714-46f1-ae57-016618340a96","resolution":{"observed_at":"2026-08-11T12:22:24.720582Z","resolver_source":"local_arxiv","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:22:24.014909Z","title":"In: 2021 IEEE/CVF International Conference on Computer Vision (ICCV), Montreal, QC, Canada, pp","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:24.014909Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:de17bbb7a26a001b6e4192cb8bfb460ffb56427ba209332552d25f0158224371","observation_id":"1c57bbb7-614a-4db0-977c-26921e4aac43","resolution":{"observed_at":"2026-08-11T12:22:24.014909Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.05068","last_updated":"2022-04-11T13:09:54Z","snapshot_observed_at":"2026-07-06T12:58:57.155515Z","submitted_at":"2022-04-11T13:09:54Z","title":"HFT: Lifting Perspective Representations via Hybrid Feature Transformation","version":1},"cited_work":{"arxiv_id":"2204.05068","doi":null,"metadata_source":"pith","pith_arxiv_id":"2204.05068","snapshot_observed_at":"2026-08-11T12:22:24.625532Z","title":"HFT: Lifting Perspective Representations via Hybrid Feature Transformation","venue":"cs.CV","work_id":"8d7eface-e6a2-43ff-a7ab-31ef2e26ffc6","year":2022},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:24.019786Z"},"links":{"cited_paper":"/paper/2204.05068","citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:a811c3c2db504856acc11adbf1d4b3f2a8ad61d0bb9994ab3288fc099da3f3f7","observation_id":"45172a12-f53c-4904-b03d-fd4d7a49fc1e","resolution":{"observed_at":"2026-08-11T12:22:24.629894Z","resolver_source":"local_arxiv","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":"2204.07733","last_updated":"2022-07-21T05:23:17Z","snapshot_observed_at":"2026-07-06T13:00:53.618234Z","submitted_at":"2022-04-16T06:46:45Z","title":"GitNet: Geometric Prior-based Transformation for Birds-Eye-View Segmentation","version":2},"cited_work":{"arxiv_id":"2204.07733","doi":null,"metadata_source":"pith","pith_arxiv_id":"2204.07733","snapshot_observed_at":"2026-08-11T12:22:24.605254Z","title":"GitNet: Geometric Prior-based Transformation for Birds-Eye-View Segmentation","venue":"cs.CV","work_id":"b0739eab-3cf6-4509-a1fc-436fc24d652e","year":2022},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:24.024079Z"},"links":{"cited_paper":"/paper/2204.07733","citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:229bf34f75520192e817923390b84c908892e8ef37bf7fd9b762507f2a4bc10c","observation_id":"31ca8153-8ad8-4272-a18a-53f56c0bbd57","resolution":{"observed_at":"2026-08-11T12:22:24.612097Z","resolver_source":"local_arxiv","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":"2026-08-11T12:22:25.797808Z","title":"In: ICCV (2021)","venue":null,"work_id":"ea876357-a0c3-41e4-ad2c-5bb36eefbd68","year":2021},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:24.029121Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:e1da6ab1371d3b9ee1db2fc20de36ad87c51699acadfcf0515279b34f03e4702","observation_id":"86b13024-1c4b-4eef-a025-ff15efb233d1","resolution":{"observed_at":"2026-08-11T12:22:25.801917Z","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":"1608.04267","last_updated":"2017-05-13T14:58:05Z","snapshot_observed_at":"2026-07-06T05:07:01.679054Z","submitted_at":"2016-08-15T13:48:22Z","title":"Detecting Dominant Vanishing Points in Natural Scenes with Application to Composition-Sensitive Image Retrieval","version":2},"cited_work":{"arxiv_id":"1608.04267","doi":null,"metadata_source":"pith","pith_arxiv_id":"1608.04267","snapshot_observed_at":"2026-08-11T12:22:24.581527Z","title":"Detecting Dominant Vanishing Points in Natural Scenes with Application to Composition-Sensitive Image Retrieval","venue":"cs.CV","work_id":"f604d7e1-44cc-4d4e-9eab-789eef891cbb","year":2016},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:24.035299Z"},"links":{"cited_paper":"/paper/1608.04267","citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:1bb32d18966fa05792d1a0bec05b798958fce6a93921e3e5d63bc2806371cda4","observation_id":"1541e701-471e-49f7-bcfc-18f16de9b4a2","resolution":{"observed_at":"2026-08-11T12:22:24.588477Z","resolver_source":"local_arxiv","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:22:24.040177Z","title":"In: Computer Vision ECCV 2014","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:24.040177Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:3fc5a3b692d569ff7f73e9e9cb7326182ab09797a9cc65e7406c50807b5caa7b","observation_id":"e45b32ae-d568-43b0-aea2-7fbc186025a0","resolution":{"observed_at":"2026-08-11T12:22:24.040177Z","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":"2026-08-11T12:22:25.785810Z","title":"https://github.com/nwojke/deepsort.git (2019)","venue":null,"work_id":"5c394b59-60b9-4cef-af00-1b62c5b607c0","year":2019},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:24.046783Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:0ea9adae817d6edcabb3b842c42ac549a52e5a008da4f03a442500b8903fe0dc","observation_id":"9199afe3-2b1f-4a4b-9874-6c2a957f18fd","resolution":{"observed_at":"2026-08-11T12:22:25.790454Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:22:24.050792Z","title":"In: 2016 IEEE Int","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:24.050792Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:ffa3dd45f07d2fb268972a969ceac3e098e9a116351392eab5c3a2219db80964","observation_id":"e51039fa-32ce-4513-be4b-154cfe3e1023","resolution":{"observed_at":"2026-08-11T12:22:24.050792Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1907.06038","last_updated":"2019-08-11T15:08:13Z","snapshot_observed_at":"2026-07-06T08:07:29.177402Z","submitted_at":"2019-07-13T09:40:22Z","title":"M3D-RPN: Monocular 3D Region Proposal Network for Object Detection","version":2},"cited_work":{"arxiv_id":"1907.06038","doi":null,"metadata_source":"pith","pith_arxiv_id":"1907.06038","snapshot_observed_at":"2026-08-11T12:22:24.483787Z","title":"M3D-RPN: Monocular 3D Region Proposal Network for Object Detection","venue":"cs.CV","work_id":"5bbd557d-0b4a-4e2f-b1c1-c91c1b5d5a9e","year":2019},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:24.056051Z"},"links":{"cited_paper":"/paper/1907.06038","citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:9e090687cd6027f60be5858ff1b157fa146a03752a5fcf42352fd5ff9594dfaa","observation_id":"326f9f3e-59f8-4f74-9fca-0d2e1515de33","resolution":{"observed_at":"2026-08-11T12:22:24.488947Z","resolver_source":"local_arxiv","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":"2026-08-11T12:22:25.773959Z","title":null,"venue":null,"work_id":"a91a7e2e-ef07-4758-97fc-e4c1c6d7f527","year":2022},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:24.060659Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:96ee7e0b405556074af5be030b1542ba8f4e2dda039a6bf1448201d5f67ccdfc","observation_id":"46416138-a581-40e9-b840-c920a4d08cd2","resolution":{"observed_at":"2026-08-11T12:22:25.778197Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2106.01178","last_updated":"2021-10-15T12:54:42Z","snapshot_observed_at":"2026-08-07T13:18:01.510588Z","submitted_at":"2021-06-02T14:20:24Z","title":"ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection","version":3},"cited_work":{"arxiv_id":"2106.01178","doi":null,"metadata_source":"pith","pith_arxiv_id":"2106.01178","snapshot_observed_at":"2026-08-11T12:22:24.459326Z","title":"ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection","venue":"cs.CV","work_id":"70b10ac2-9557-47fe-a155-56eb6dd788d5","year":2021},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:24.065085Z"},"links":{"cited_paper":"/paper/2106.01178","citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:a4824dc15515116948b58a7c11c135c73baf330cab3dc2b34c40af903c6ec64a","observation_id":"91322d4d-a2d9-4d32-927f-d3d7ed7ab3cc","resolution":{"observed_at":"2026-08-11T12:22:24.464487Z","resolver_source":"local_arxiv","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":"2104.10956","last_updated":"2021-09-24T07:40:56Z","snapshot_observed_at":"2026-07-06T11:02:38.981819Z","submitted_at":"2021-04-22T09:35:35Z","title":"FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.10956","snapshot_observed_at":"2026-08-11T12:22:24.069750Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:24.069750Z"},"links":{"cited_paper":"/paper/2104.10956","citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:e27179ac3268e31a66da5df3095615ec54f36268abf05456b099fbb9d41155b9","observation_id":"765fa1e3-5f59-44c1-a2fb-f8aa25f6e4a3","resolution":{"observed_at":"2026-08-11T12:22:24.069750Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1812.04244","last_updated":"2019-05-16T15:50:01Z","snapshot_observed_at":"2026-08-08T07:37:57.421399Z","submitted_at":"2018-12-11T07:27:56Z","title":"PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1812.04244","snapshot_observed_at":"2026-08-11T12:22:24.074774Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:24.074774Z"},"links":{"cited_paper":"/paper/1812.04244","citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:698c2a132de3810f12d3baaeff028ec35f8be45465db3b216bb87d15b210f13e","observation_id":"e1871f45-c090-4b70-b42c-df5c82770f28","resolution":{"observed_at":"2026-08-11T12:22:24.074774Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1704.04861","last_updated":"2017-04-17T03:57:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-04-17T03:57:34Z","title":"MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1704.04861","snapshot_observed_at":"2026-08-11T12:22:24.080409Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:24.080409Z"},"links":{"cited_paper":"/paper/1704.04861","citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:7791aaab93ec355374f8f561ac4f5377555c304c5e1892e467d5f1f3ed295f9a","observation_id":"49364221-b536-4cf1-a1b1-576067241898","resolution":{"observed_at":"2026-08-11T12:22:24.080409Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-11T12:22:24.085667Z","title":"arXiv:1412.6980 [cs]","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:24.085667Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:831dd21c0d08a9255e970e5777ca19fcf09f8c827c50b5ae70aaa10b448c418c","observation_id":"23753a2c-360c-435d-91f3-0e6b2c85c709","resolution":{"observed_at":"2026-08-11T12:22:24.085667Z","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":"2026-08-11T12:22:24.090651Z","title":"In: 2018 IEEE International Conference 26 on Robotics and Automation (ICRA), Brisbane, QLD, pp","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:24.090651Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:357dda2da58de18e8628f499b247f33f12dcb8b404bcf385b0c626ccb4823202","observation_id":"d63d9d48-55bf-4a6a-9cb7-59d181850427","resolution":{"observed_at":"2026-08-11T12:22:24.090651Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1910.06316","last_updated":"2021-03-25T03:03:02Z","snapshot_observed_at":"2026-07-06T08:29:24.937250Z","submitted_at":"2019-10-14T17:58:23Z","title":"NeurVPS: Neural Vanishing Point Scanning via Conic Convolution","version":3},"cited_work":{"arxiv_id":"1910.06316","doi":null,"metadata_source":"pith","pith_arxiv_id":"1910.06316","snapshot_observed_at":"2026-08-11T12:22:24.309843Z","title":"NeurVPS: Neural Vanishing Point Scanning via Conic Convolution","venue":"cs.CV","work_id":"a99fad9b-a457-4182-8b15-ba0d00862712","year":2019},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:24.095890Z"},"links":{"cited_paper":"/paper/1910.06316","citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:d2481794b684b31362c2388db750dcab20fbf57dadb834010987f36708998591","observation_id":"ea0f9713-55af-4ef1-98b4-2620e987c73d","resolution":{"observed_at":"2026-08-11T12:22:24.314408Z","resolver_source":"local_arxiv","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":"2026-08-11T12:22:25.760517Z","title":"https://www.tfljamcams.net/ (2021)","venue":null,"work_id":"726d6cdb-7302-4460-ad41-29e9a3fd76a1","year":2021},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:24.101229Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:2f9534e21c0cd0883581f27a4a0c0685bff00f946ad87d1f31e4356715ef758f","observation_id":"52389637-0000-49ec-8429-7e5a31bb5402","resolution":{"observed_at":"2026-08-11T12:22:25.765602Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:22:25.747438Z","title":"In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (W ACV) (2021)","venue":null,"work_id":"b523df46-b8cd-42b7-ba17-ba6c7b2d8060","year":2021},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:24.106273Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:5e525a1a1e037c08bfba5757af43fa7f9ea075ebfed80c9f93c0f1b4cef17932","observation_id":"7f27746c-7b38-4e37-9ba5-56a0fc243b56","resolution":{"observed_at":"2026-08-11T12:22:25.751690Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:22:25.734437Z","title":"In: 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2015)","venue":null,"work_id":"cf1030c9-c74e-4921-bced-2624d587315f","year":2015},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:24.110470Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:8d35cebc80c273b62436e3e01fa373235c5f244511006f6f0adf66b2b8ee407f","observation_id":"abcbc463-c492-47bc-b3e9-b3d32c13db56","resolution":{"observed_at":"2026-08-11T12:22:25.738922Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:22:25.718752Z","title":"Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019)","venue":null,"work_id":"eace133c-8027-44ef-9329-c35f9ea1c861","year":2019},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:24.114744Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:b08f2707a8803b1503ee56a473eb5be87afc8fc234c60fe36e88713d46822ac9","observation_id":"ba1337f1-e28d-4704-8c96-5c2e1072f35b","resolution":{"observed_at":"2026-08-11T12:22:25.724172Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:22:25.703474Z","title":"In: IEEE Int","venue":null,"work_id":"00605921-2d85-48ae-a531-27c24de95ea7","year":2019},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:24.118939Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:4e03659e1e016a3b37c2088724fa8ae1c5974c0a807197ff83896adec7f1acd0","observation_id":"88a9b6d6-a123-4c3e-a3bf-287414a3b682","resolution":{"observed_at":"2026-08-11T12:22:25.708064Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:22:25.688428Z","title":"In: Proceedings of IEEE International Conference on Computer Vision (ICCV) (2021)","venue":null,"work_id":"e52eecb8-20de-4458-8ee6-608fe09f9c97","year":2021},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:24.122913Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:22b3e8fe060c7b3c11163e60b0bbf92d1a60420b9b002602436b039675b1bd45","observation_id":"6e90fb32-40f0-430f-83f1-089a0f1c6508","resolution":{"observed_at":"2026-08-11T12:22:25.692889Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:22:25.674129Z","title":"In: Proceedings of the Conference on Robot Learning (CoRL) (2021)","venue":null,"work_id":"9da28117-c356-4240-8a87-1b06506e65d5","year":2021},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:24.127020Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:86ea133621d4e058e58c4b9b3d2a8fb981296da757389c7ba8ebce2d4c13e8fb","observation_id":"1c8fc084-36db-4293-bf6c-ffa8d4047667","resolution":{"observed_at":"2026-08-11T12:22:25.679930Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:22:25.658906Z","title":"In: Proceedings of the Conference on Robot Learning (CoRL) (2022)","venue":null,"work_id":"956267c5-9c46-4c3d-991d-7d43de8eeccc","year":2022},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:24.130763Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:e7a56bec3f583c5fb46cdc87effdd2f9d1e0dda25b3220c1a5507e928df6f205","observation_id":"d03ce87e-aa32-4d9e-b099-3fd0fba7afd5","resolution":{"observed_at":"2026-08-11T12:22:25.663258Z","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":"2203.05625","last_updated":"2022-07-19T08:30:57Z","snapshot_observed_at":"2026-08-10T01:20:39.174004Z","submitted_at":"2022-03-10T20:33:28Z","title":"PETR: Position Embedding Transformation for Multi-View 3D Object Detection","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.05625","snapshot_observed_at":"2026-08-11T12:22:24.135329Z","title":"ArXiv preprint arXiv:2203.05625 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:24.135329Z"},"links":{"cited_paper":"/paper/2203.05625","citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:28d65a76fd0189e146ce63ee4d8da6f619af9de8269227ce61699ba230699ce1","observation_id":"e58dd478-3e13-4a5f-9a08-eeb4be1060d4","resolution":{"observed_at":"2026-08-11T12:22:24.135329Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.05650","last_updated":"2023-06-15T10:15:51Z","snapshot_observed_at":"2026-08-09T13:23:39.385649Z","submitted_at":"2022-03-10T21:32:31Z","title":"Superconducting dome by tuning through a Van Hove singularity in a two-dimensional metal","version":3},"cited_work":{"arxiv_id":"2203.05650","doi":null,"metadata_source":"pith","pith_arxiv_id":"2203.05650","snapshot_observed_at":"2026-08-11T12:22:24.277251Z","title":"Superconducting dome by tuning through a Van Hove singularity in a two-dimensional metal","venue":"cond-mat.supr-con","work_id":"d32871a9-2a9f-43ba-b9cd-8355e31769aa","year":2022},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:24.139574Z"},"links":{"cited_paper":"/paper/2203.05650","citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:663871a05130f139fe0a3f5e66a49e2c6bf9b42c8ac758553b90df84e93c2713","observation_id":"384c918a-0070-43c4-9520-03abf2fb0149","resolution":{"observed_at":"2026-08-11T12:22:24.283175Z","resolver_source":"local_arxiv","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":"2026-08-11T12:22:25.645731Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)","venue":null,"work_id":"67281a9e-a10a-435b-bf2d-61d0bb81801c","year":2020},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:24.143451Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:2dc16bbf31e8f75859c86dde0ce2f6cfae776d280da99c8db27dc29654156f3a","observation_id":"50d7e22f-d6ea-44cf-a8a3-b9a2b0476ef8","resolution":{"observed_at":"2026-08-11T12:22:25.650023Z","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":"1811.10203","last_updated":"2019-09-10T06:48:14Z","snapshot_observed_at":"2026-08-11T10:58:21.889686Z","submitted_at":"2018-11-26T06:34:28Z","title":"3D-LaneNet: End-to-End 3D Multiple Lane Detection","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1811.10203","snapshot_observed_at":"2026-08-11T12:22:24.147359Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:24.147359Z"},"links":{"cited_paper":"/paper/1811.10203","citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:4a1e3169d9cc536e3d1293817490ee132409464a2e97912d4f48c641c53bc201","observation_id":"0f2dfabf-2a4c-4a8b-bb4f-0011aac8c0da","resolution":{"observed_at":"2026-08-11T12:22:24.147359Z","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":"2026-08-11T12:22:24.151610Z","title":"In: Lecture Notes in Computer Science","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-11T12:22:24.151610Z"},"links":{"citing_paper":"/paper/2412.16229"},"observation_digest":"sha256:ef2479923a070822ead0a049ff2b85c08220df3688e2a36b10f9713ca3eca0b5","observation_id":"915e47d1-a581-4484-bfd7-17b6e110d51e","resolution":{"observed_at":"2026-08-11T12:22:24.151610Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2412.16229","last_updated":"2024-12-18T21:55:58Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-11T22:32:06.873190Z","submitted_at":"2024-12-18T21:55:58Z","title":"TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning"},"reference_resolution":{"displayed":71,"state_counts":{"malformed_identifier":2,"metadata_mismatch":6,"parse_uncertain":0,"unresolved":27,"verified_exact":16,"verified_fuzzy":20},"total_outbound_references":71},"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 71 of 71 outbound references and 1 inbound Pith citation observation for arXiv:2412.16229."}