{"as_of":"2026-08-15T04:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:84468bf857fcc7551c752d0ff7c56bb94ee2fbc570d5a7f33e0a8405ca59b153","coverage":[{"denominator":20,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":20,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T14:30:10.955191Z","state":"measured"},{"denominator":20,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":20,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2508.21271/citation-record","integrity":"/paper/2508.21271/integrity","json":"/paper/2508.21271/citation-record.json","paper":"/paper/2508.21271"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:30:13.722000Z","title":"A comparative study of state-of-the-art object detection algorithms for autonomous vehicles in donkeycar simulator,","venue":null,"work_id":"972fb4d2-f8cb-49cb-8537-0ba21ba4a859","year":2025},"citing_paper":{"arxiv_id":"2508.21271","last_updated":"2025-08-29T00:21:34Z","snapshot_observed_at":"2026-08-11T07:38:40.086162Z","submitted_at":"2025-08-29T00:21:34Z","title":"Mini Autonomous Car Driving based on 3D Convolutional Neural Networks","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T14:30:09.301414Z"},"links":{"citing_paper":"/paper/2508.21271"},"observation_digest":"sha256:c5d579fd31b7d1334abe9ca23d35fe1de881156d1957b0408ba2bc8d38b6f8db","observation_id":"3d225550-a6bb-4918-96ed-9edbba989d96","resolution":{"observed_at":"2026-08-05T14:30:13.799000Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-05T14:30:13.558905Z","title":"Miniature autonomy as means to find new approaches in reliable autonomous driving ai method design,","venue":null,"work_id":"444e08ed-5076-46ab-b2f4-1ab24a66b0ce","year":2022},"citing_paper":{"arxiv_id":"2508.21271","last_updated":"2025-08-29T00:21:34Z","snapshot_observed_at":"2026-08-11T07:38:40.086162Z","submitted_at":"2025-08-29T00:21:34Z","title":"Mini Autonomous Car Driving based on 3D Convolutional Neural Networks","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T14:30:09.372353Z"},"links":{"citing_paper":"/paper/2508.21271"},"observation_digest":"sha256:aaef4c1eb0bc3f2cee6509208688145ed76f5624700ccb0dbc44e1de1716ff96","observation_id":"ad1ed0cf-fb7b-4c49-a11c-a0cf3f00461a","resolution":{"observed_at":"2026-08-05T14:30:13.645986Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-05T14:30:13.417734Z","title":"Behavior cloning for mini autonomous car path following,","venue":null,"work_id":"159c7b2c-1bbd-4eb6-9287-deda58239ad6","year":2024},"citing_paper":{"arxiv_id":"2508.21271","last_updated":"2025-08-29T00:21:34Z","snapshot_observed_at":"2026-08-11T07:38:40.086162Z","submitted_at":"2025-08-29T00:21:34Z","title":"Mini Autonomous Car Driving based on 3D Convolutional Neural Networks","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T14:30:09.504941Z"},"links":{"citing_paper":"/paper/2508.21271"},"observation_digest":"sha256:51914694c35a076e1e82fe70ca9f117a33fe2099e01df9eca6d66816508ae95c","observation_id":"be972bd7-1a31-4521-80c6-fd2ec8f0f118","resolution":{"observed_at":"2026-08-05T14:30:13.477755Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.08745","last_updated":"2024-06-13T02:07:06Z","snapshot_observed_at":"2026-08-12T23:44:01.784324Z","submitted_at":"2024-06-13T02:07:06Z","title":"UruBots Autonomous Cars Team One Description Paper for FIRA 2024","version":1},"cited_work":{"arxiv_id":"2406.08745","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.08745","snapshot_observed_at":"2026-08-05T14:30:12.287686Z","title":"UruBots Autonomous Cars Team One Description Paper for FIRA 2024","venue":"cs.RO","work_id":"a497fe7f-99c0-49b3-ba5d-16abaaeec9e2","year":2024},"citing_paper":{"arxiv_id":"2508.21271","last_updated":"2025-08-29T00:21:34Z","snapshot_observed_at":"2026-08-11T07:38:40.086162Z","submitted_at":"2025-08-29T00:21:34Z","title":"Mini Autonomous Car Driving based on 3D Convolutional Neural Networks","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T14:30:09.636728Z"},"links":{"cited_paper":"/paper/2406.08745","citing_paper":"/paper/2508.21271"},"observation_digest":"sha256:6b7db4154b07e4420fdeb593f1586b78f0ff135a43b894c9ea2d2b397afcf24d","observation_id":"802a9314-73fb-4382-938d-fbb432cd4764","resolution":{"observed_at":"2026-08-05T14:30:12.355531Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.06537","last_updated":"2022-06-14T01:03:58Z","snapshot_observed_at":"2026-08-13T15:24:28.459620Z","submitted_at":"2022-06-14T01:03:58Z","title":"A software toolkit and hardware platform for investigating and comparing robot autonomy algorithms in simulation and reality","version":1},"cited_work":{"arxiv_id":"2206.06537","doi":null,"metadata_source":"pith","pith_arxiv_id":"2206.06537","snapshot_observed_at":"2026-08-05T14:30:12.101994Z","title":"A software toolkit and hardware platform for investigating and comparing robot autonomy algorithms in simulation and reality","venue":"cs.RO","work_id":"b8061d55-987d-4ea1-a588-33ad0f6d76e3","year":2022},"citing_paper":{"arxiv_id":"2508.21271","last_updated":"2025-08-29T00:21:34Z","snapshot_observed_at":"2026-08-11T07:38:40.086162Z","submitted_at":"2025-08-29T00:21:34Z","title":"Mini Autonomous Car Driving based on 3D Convolutional Neural Networks","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T14:30:09.731690Z"},"links":{"cited_paper":"/paper/2206.06537","citing_paper":"/paper/2508.21271"},"observation_digest":"sha256:3fed58210703adf37682f1084d97e4ba237b94e6a2db800da3b049fbf9bc08d7","observation_id":"199b9fd6-93da-4207-ba74-11c9fcd23a98","resolution":{"observed_at":"2026-08-05T14:30:12.203449Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-05T14:30:13.294719Z","title":"Autodrive: A comprehensive, flexible and integrated digital twin ecosystem for autonomous driving research & education,","venue":null,"work_id":"74491adc-06b7-488f-bbc1-303cf01b1ce8","year":2023},"citing_paper":{"arxiv_id":"2508.21271","last_updated":"2025-08-29T00:21:34Z","snapshot_observed_at":"2026-08-11T07:38:40.086162Z","submitted_at":"2025-08-29T00:21:34Z","title":"Mini Autonomous Car Driving based on 3D Convolutional Neural Networks","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T14:30:09.807432Z"},"links":{"citing_paper":"/paper/2508.21271"},"observation_digest":"sha256:58a611fd40adfc675265af2a2cca14bb11b985049c2382af190bd91c81b921e7","observation_id":"965559a2-d390-4dd6-99f9-6c4eeba6c723","resolution":{"observed_at":"2026-08-05T14:30:13.353372Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-05T14:30:13.096382Z","title":"Autonomous r/c car behavioral cloning optimization,","venue":null,"work_id":"0dcffd08-f724-4f2e-930a-e24421439ca6","year":2018},"citing_paper":{"arxiv_id":"2508.21271","last_updated":"2025-08-29T00:21:34Z","snapshot_observed_at":"2026-08-11T07:38:40.086162Z","submitted_at":"2025-08-29T00:21:34Z","title":"Mini Autonomous Car Driving based on 3D Convolutional Neural Networks","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T14:30:09.894539Z"},"links":{"citing_paper":"/paper/2508.21271"},"observation_digest":"sha256:b2b950f3d1c9d5233a3e6a3aff25e7ab3fbfea6dead71123a0cefc8beee4bc47","observation_id":"7587bec3-4e60-4ace-bcc9-6390a3e830b5","resolution":{"observed_at":"2026-08-05T14:30:13.209184Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-05T14:30:12.955642Z","title":"gym-donkeycar: A simulator for donkey car with openai gym interface,","venue":null,"work_id":"7e5ffe38-0674-4c86-8d29-f9abd706986d","year":2025},"citing_paper":{"arxiv_id":"2508.21271","last_updated":"2025-08-29T00:21:34Z","snapshot_observed_at":"2026-08-11T07:38:40.086162Z","submitted_at":"2025-08-29T00:21:34Z","title":"Mini Autonomous Car Driving based on 3D Convolutional Neural Networks","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T14:30:09.963123Z"},"links":{"citing_paper":"/paper/2508.21271"},"observation_digest":"sha256:421f619ef68bf099078b49443d3ee62cee84d8e2949ca575ce992dafa59da8ff","observation_id":"a8f7d4c2-2a22-4420-96b1-9d424dab8907","resolution":{"observed_at":"2026-08-05T14:30:13.028878Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.07218","last_updated":"2024-09-11T12:19:38Z","snapshot_observed_at":"2026-08-12T22:47:04.028434Z","submitted_at":"2024-09-11T12:19:38Z","title":"Behavioral Cloning Models Reality Check for Autonomous Driving","version":1},"cited_work":{"arxiv_id":"2409.07218","doi":null,"metadata_source":"pith","pith_arxiv_id":"2409.07218","snapshot_observed_at":"2026-08-05T14:30:11.899649Z","title":"Behavioral Cloning Models Reality Check for Autonomous Driving","venue":"cs.RO","work_id":"9f179063-00fa-40fe-9d37-9788a39c33cb","year":2024},"citing_paper":{"arxiv_id":"2508.21271","last_updated":"2025-08-29T00:21:34Z","snapshot_observed_at":"2026-08-11T07:38:40.086162Z","submitted_at":"2025-08-29T00:21:34Z","title":"Mini Autonomous Car Driving based on 3D Convolutional Neural Networks","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T14:30:10.051761Z"},"links":{"cited_paper":"/paper/2409.07218","citing_paper":"/paper/2508.21271"},"observation_digest":"sha256:d8ca5f821d424e1d951315cfa152e5e0694e94c1968282357fdf27c1b19ad208","observation_id":"d32065df-cda7-45c3-8d26-1081ea43cc86","resolution":{"observed_at":"2026-08-05T14:30:11.984726Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1904.08980","last_updated":"2019-04-18T19:29:56Z","snapshot_observed_at":"2026-08-14T16:44:15.037474Z","submitted_at":"2019-04-18T19:29:56Z","title":"Exploring the Limitations of Behavior Cloning for Autonomous Driving","version":1},"cited_work":{"arxiv_id":"1904.08980","doi":null,"metadata_source":"pith","pith_arxiv_id":"1904.08980","snapshot_observed_at":"2026-08-05T14:30:11.681555Z","title":"Exploring the Limitations of Behavior Cloning for Autonomous Driving","venue":"cs.CV","work_id":"b27ced04-585b-4a98-8c17-d5d1d0100158","year":2019},"citing_paper":{"arxiv_id":"2508.21271","last_updated":"2025-08-29T00:21:34Z","snapshot_observed_at":"2026-08-11T07:38:40.086162Z","submitted_at":"2025-08-29T00:21:34Z","title":"Mini Autonomous Car Driving based on 3D Convolutional Neural Networks","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T14:30:10.144785Z"},"links":{"cited_paper":"/paper/1904.08980","citing_paper":"/paper/2508.21271"},"observation_digest":"sha256:c697ad4910eb405e8933446dc0bf6774f6159ac948eae3ce742dc8a0938849c2","observation_id":"fa893f59-9c67-41a0-bb1e-8382d7b42366","resolution":{"observed_at":"2026-08-05T14:30:11.758740Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-05T14:30:12.773974Z","title":"Impact of model architecture against adversarial example’s effectivity,","venue":null,"work_id":"0932a0d9-f5f2-4e38-b887-fd814f6b71c0","year":2020},"citing_paper":{"arxiv_id":"2508.21271","last_updated":"2025-08-29T00:21:34Z","snapshot_observed_at":"2026-08-11T07:38:40.086162Z","submitted_at":"2025-08-29T00:21:34Z","title":"Mini Autonomous Car Driving based on 3D Convolutional Neural Networks","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T14:30:10.217654Z"},"links":{"citing_paper":"/paper/2508.21271"},"observation_digest":"sha256:88ad78aceb60f9b909b4a1e19b9405887ca8c80b458ccb8358fa547db94ba0dd","observation_id":"c082ee03-308b-437e-8db7-bffe0a87a5bd","resolution":{"observed_at":"2026-08-05T14:30:12.863991Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1909.03467","last_updated":"2019-12-04T12:48:39Z","snapshot_observed_at":"2026-08-08T20:50:55.624906Z","submitted_at":"2019-09-08T13:41:42Z","title":"Self-driving scale car trained by Deep reinforcement learning","version":3},"cited_work":{"arxiv_id":"1909.03467","doi":null,"metadata_source":"pith","pith_arxiv_id":"1909.03467","snapshot_observed_at":"2026-08-05T14:30:11.467467Z","title":"Self-driving scale car trained by Deep reinforcement learning","venue":"cs.LG","work_id":"0eb513f2-1be6-4dc8-af6a-3bfe1176e109","year":2019},"citing_paper":{"arxiv_id":"2508.21271","last_updated":"2025-08-29T00:21:34Z","snapshot_observed_at":"2026-08-11T07:38:40.086162Z","submitted_at":"2025-08-29T00:21:34Z","title":"Mini Autonomous Car Driving based on 3D Convolutional Neural Networks","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T14:30:10.301648Z"},"links":{"cited_paper":"/paper/1909.03467","citing_paper":"/paper/2508.21271"},"observation_digest":"sha256:07b7adc0dfb5278bef78ef3ebd45f267c1a92651e53d2144b01006c8726c478f","observation_id":"815f3d10-229d-40fe-9cac-af2bac7b917d","resolution":{"observed_at":"2026-08-05T14:30:11.547058Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2011.05617","last_updated":"2020-11-11T08:17:08Z","snapshot_observed_at":"2026-08-14T22:43:13.916884Z","submitted_at":"2020-11-11T08:17:08Z","title":"Sim-To-Real Transfer for Miniature Autonomous Car Racing","version":1},"cited_work":{"arxiv_id":"2011.05617","doi":null,"metadata_source":"pith","pith_arxiv_id":"2011.05617","snapshot_observed_at":"2026-08-05T14:30:11.300041Z","title":"Sim-To-Real Transfer for Miniature Autonomous Car Racing","venue":"cs.AI","work_id":"6e9ded5a-cf98-4ee9-b7c3-c17410da4476","year":2020},"citing_paper":{"arxiv_id":"2508.21271","last_updated":"2025-08-29T00:21:34Z","snapshot_observed_at":"2026-08-11T07:38:40.086162Z","submitted_at":"2025-08-29T00:21:34Z","title":"Mini Autonomous Car Driving based on 3D Convolutional Neural Networks","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T14:30:10.362617Z"},"links":{"cited_paper":"/paper/2011.05617","citing_paper":"/paper/2508.21271"},"observation_digest":"sha256:257e36c900ad6bf7ba661adaca51c7b123fabb8e36c6312120e830b9b5773ff2","observation_id":"0d5e7a66-ba37-452f-a132-64f851c9efaf","resolution":{"observed_at":"2026-08-05T14:30:11.368594Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1702.07600","last_updated":"2017-02-24T14:29:35Z","snapshot_observed_at":"2026-08-14T21:14:56.241052Z","submitted_at":"2017-02-24T14:29:35Z","title":"How hard is it to cross the room? -- Training (Recurrent) Neural Networks to steer a UAV","version":1},"cited_work":{"arxiv_id":"1702.07600","doi":null,"metadata_source":"pith","pith_arxiv_id":"1702.07600","snapshot_observed_at":"2026-08-05T14:30:11.126794Z","title":"How hard is it to cross the room? -- Training (Recurrent) Neural Networks to steer a UAV","venue":"cs.CV","work_id":"e26979c2-a353-47cd-8893-002cb08c7ec4","year":2017},"citing_paper":{"arxiv_id":"2508.21271","last_updated":"2025-08-29T00:21:34Z","snapshot_observed_at":"2026-08-11T07:38:40.086162Z","submitted_at":"2025-08-29T00:21:34Z","title":"Mini Autonomous Car Driving based on 3D Convolutional Neural Networks","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T14:30:10.442735Z"},"links":{"cited_paper":"/paper/1702.07600","citing_paper":"/paper/2508.21271"},"observation_digest":"sha256:2801cf99a00bd882a585c4a323bd9a5034e5ef4a0ea318606e7ad2477c229c5e","observation_id":"558def33-3433-4215-9504-bcb00ff8fc1c","resolution":{"observed_at":"2026-08-05T14:30:11.199267Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-05T14:30:12.612892Z","title":"Long short-term memory,","venue":null,"work_id":"76e5b27d-8d13-4ed4-b91c-8da44395c14b","year":1997},"citing_paper":{"arxiv_id":"2508.21271","last_updated":"2025-08-29T00:21:34Z","snapshot_observed_at":"2026-08-11T07:38:40.086162Z","submitted_at":"2025-08-29T00:21:34Z","title":"Mini Autonomous Car Driving based on 3D Convolutional Neural Networks","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T14:30:10.536165Z"},"links":{"citing_paper":"/paper/2508.21271"},"observation_digest":"sha256:de88f316b3a4dec0c932bb16c81badc7577e58868a49cfb45a244b29ad599752","observation_id":"e200c95d-1903-4918-adb2-624f59847a4f","resolution":{"observed_at":"2026-08-05T14:30:12.668879Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1406.1078","last_updated":"2014-09-03T00:25:02Z","snapshot_observed_at":"2026-07-06T03:45:28.546418Z","submitted_at":"2014-06-03T17:47:08Z","title":"Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1406.1078","snapshot_observed_at":"2026-08-05T14:30:10.632078Z","title":"Learning phrase representations using rnn encoder-decoder for statistical machine translation,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2508.21271","last_updated":"2025-08-29T00:21:34Z","snapshot_observed_at":"2026-08-11T07:38:40.086162Z","submitted_at":"2025-08-29T00:21:34Z","title":"Mini Autonomous Car Driving based on 3D Convolutional Neural Networks","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T14:30:10.632078Z"},"links":{"cited_paper":"/paper/1406.1078","citing_paper":"/paper/2508.21271"},"observation_digest":"sha256:d296d6f2314938afb515d2e95a3111c3632ba84c3f7f56fc0f18282082059afb","observation_id":"c34294ad-df83-4053-a939-0f615503b2cc","resolution":{"observed_at":"2026-08-05T14:30:10.632078Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1412.3555","last_updated":"2014-12-11T06:46:53Z","snapshot_observed_at":"2026-08-13T10:35:27.214652Z","submitted_at":"2014-12-11T06:46:53Z","title":"Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.3555","snapshot_observed_at":"2026-08-05T14:30:10.724734Z","title":"Empirical evaluation of gated recurrent neural networks on sequence modeling,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2508.21271","last_updated":"2025-08-29T00:21:34Z","snapshot_observed_at":"2026-08-11T07:38:40.086162Z","submitted_at":"2025-08-29T00:21:34Z","title":"Mini Autonomous Car Driving based on 3D Convolutional Neural Networks","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T14:30:10.724734Z"},"links":{"cited_paper":"/paper/1412.3555","citing_paper":"/paper/2508.21271"},"observation_digest":"sha256:d108f9a4b871c4bab081a024c75bc0bcf6c28f95a62f3b83699d30c839273270","observation_id":"0bcf2912-4070-4efa-b3a2-311a9e86df18","resolution":{"observed_at":"2026-08-05T14:30:10.724734Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1512.03385","last_updated":"2015-12-10T19:51:55Z","snapshot_observed_at":"2026-07-06T04:39:28.429064Z","submitted_at":"2015-12-10T19:51:55Z","title":"Deep Residual Learning for Image Recognition","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1512.03385","snapshot_observed_at":"2026-08-05T14:30:10.818526Z","title":"Deep residual learning for image recognition,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2508.21271","last_updated":"2025-08-29T00:21:34Z","snapshot_observed_at":"2026-08-11T07:38:40.086162Z","submitted_at":"2025-08-29T00:21:34Z","title":"Mini Autonomous Car Driving based on 3D Convolutional Neural Networks","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T14:30:10.818526Z"},"links":{"cited_paper":"/paper/1512.03385","citing_paper":"/paper/2508.21271"},"observation_digest":"sha256:12d7efc4c405c3d0165d2f7287a2f33760fa3bc233ee82344eb3767d19737608","observation_id":"615026ff-ab09-411d-bc7e-0f6bc90b1a14","resolution":{"observed_at":"2026-08-05T14:30:10.818526Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1502.03167","last_updated":"2015-03-02T20:44:12Z","snapshot_observed_at":"2026-08-12T21:01:12.961874Z","submitted_at":"2015-02-11T01:44:18Z","title":"Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1502.03167","snapshot_observed_at":"2026-08-05T14:30:10.880229Z","title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2508.21271","last_updated":"2025-08-29T00:21:34Z","snapshot_observed_at":"2026-08-11T07:38:40.086162Z","submitted_at":"2025-08-29T00:21:34Z","title":"Mini Autonomous Car Driving based on 3D Convolutional Neural Networks","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T14:30:10.880229Z"},"links":{"cited_paper":"/paper/1502.03167","citing_paper":"/paper/2508.21271"},"observation_digest":"sha256:a929b32fc7bbcc44fcc3c7f5468a2327520f053a07c092187a3fd4328492d7c0","observation_id":"bdbf6266-dffb-48bd-9a7c-fb4de7aa6684","resolution":{"observed_at":"2026-08-05T14:30:10.880229Z","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":"2026-08-05T14:30:12.436189Z","title":"Donkeycar: An open source diy self-driving platform,","venue":null,"work_id":"f3f307e2-699f-4f99-a4f7-8d39b5aaf64c","year":2025},"citing_paper":{"arxiv_id":"2508.21271","last_updated":"2025-08-29T00:21:34Z","snapshot_observed_at":"2026-08-11T07:38:40.086162Z","submitted_at":"2025-08-29T00:21:34Z","title":"Mini Autonomous Car Driving based on 3D Convolutional Neural Networks","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T14:30:10.955191Z"},"links":{"citing_paper":"/paper/2508.21271"},"observation_digest":"sha256:6c676f1f4e619baaa1e52688508157770ee492e32c08773748a69b9b4659d80a","observation_id":"067f6a1d-12ce-47bd-88a4-039dba8022e8","resolution":{"observed_at":"2026-08-05T14:30:12.513787Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2508.21271","last_updated":"2025-08-29T00:21:34Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-11T07:38:40.086162Z","submitted_at":"2025-08-29T00:21:34Z","title":"Mini Autonomous Car Driving based on 3D Convolutional Neural Networks"},"reference_resolution":{"displayed":20,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":7,"verified_fuzzy":9},"total_outbound_references":20},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2508.21271."}