{"as_of":"2026-08-08T16:57:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:44c651570b8efe6ff3900f98b583483c537fe830ae19f9a80c55fb8219b1cdbb","coverage":[{"denominator":42,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":42,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T06:03:02.796273Z","state":"measured"},{"denominator":42,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":42,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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/2506.06077/citation-record","integrity":"/paper/2506.06077/integrity","json":"/paper/2506.06077/citation-record.json","paper":"/paper/2506.06077"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"document/8910387","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:03:03.847316Z","title":"Coordinating Tire Forces to Avoid Obstacles Using Nonlin- ear Model Predictive Control","venue":null,"work_id":"4078bf21-c70e-4d74-bc2c-7a5769066a5f","year":2020},"citing_paper":{"arxiv_id":"2506.06077","last_updated":"2025-06-06T13:33:15Z","snapshot_observed_at":"2026-08-07T05:58:27.402167Z","submitted_at":"2025-06-06T13:33:15Z","title":"Self driving algorithm for an active four wheel drive racecar","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:02.560186Z"},"links":{"citing_paper":"/paper/2506.06077"},"observation_digest":"sha256:eb14384524c547d0292498ac19cda0825f10c1e575d93fc44ae9307e3e4075a2","observation_id":"a94abc74-4d13-404e-8489-ee4c25946bdd","resolution":{"observed_at":"2026-08-07T06:03:03.856146Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.17737","last_updated":"2024-07-25T03:18:37Z","snapshot_observed_at":"2026-07-06T18:51:36.869948Z","submitted_at":"2024-07-25T03:18:37Z","title":"Control Informed Design of the IAC Autonomous Racecar for Operation at the Dynamic Envelope","version":1},"cited_work":{"arxiv_id":"2407.17737","doi":null,"metadata_source":"pith","pith_arxiv_id":"2407.17737","snapshot_observed_at":"2026-08-07T06:03:03.758931Z","title":"Control Informed Design of the IAC Autonomous Racecar for Operation at the Dynamic Envelope","venue":"eess.SY","work_id":"f6fc06c7-4a58-4eae-afc4-eb0d68c79d88","year":2024},"citing_paper":{"arxiv_id":"2506.06077","last_updated":"2025-06-06T13:33:15Z","snapshot_observed_at":"2026-08-07T05:58:27.402167Z","submitted_at":"2025-06-06T13:33:15Z","title":"Self driving algorithm for an active four wheel drive racecar","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:02.566205Z"},"links":{"cited_paper":"/paper/2407.17737","citing_paper":"/paper/2506.06077"},"observation_digest":"sha256:62b9bf4705638aabb465c609fba51c48b40a15d62166fb46ad5f1bc5c845a08f","observation_id":"b31b896d-a208-4f25-8682-7ea5526fa8aa","resolution":{"observed_at":"2026-08-07T06:03:03.765051Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.07008","last_updated":"2022-02-14T19:54:53Z","snapshot_observed_at":"2026-08-05T00:26:53.206436Z","submitted_at":"2022-02-14T19:54:53Z","title":"Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.07008","snapshot_observed_at":"2026-08-07T06:03:02.572029Z","title":"Autonomous Vehicles on the Edge: A Survey on Au- tonomous Vehicle Racing","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.06077","last_updated":"2025-06-06T13:33:15Z","snapshot_observed_at":"2026-08-07T05:58:27.402167Z","submitted_at":"2025-06-06T13:33:15Z","title":"Self driving algorithm for an active four wheel drive racecar","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:02.572029Z"},"links":{"cited_paper":"/paper/2202.07008","citing_paper":"/paper/2506.06077"},"observation_digest":"sha256:d9721cccd0fac73b4528602d108c4e3f6a3cbfb92cf0198ec98fd8ea817cb94b","observation_id":"e94e860c-b126-4b11-bc25-d73b0aad2daf","resolution":{"observed_at":"2026-08-07T06:03:02.572029Z","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":"2026-08-07T06:03:04.191623Z","title":"Motion control in an electric vehicle with four independently driven in-wheel motors","venue":null,"work_id":"a9d34613-7a00-4afc-9ed4-a6feee00a648","year":1999},"citing_paper":{"arxiv_id":"2506.06077","last_updated":"2025-06-06T13:33:15Z","snapshot_observed_at":"2026-08-07T05:58:27.402167Z","submitted_at":"2025-06-06T13:33:15Z","title":"Self driving algorithm for an active four wheel drive racecar","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:02.579031Z"},"links":{"citing_paper":"/paper/2506.06077"},"observation_digest":"sha256:a0e5bf656bae0404dfddfe6d487a1fbaeabbe450211b36aba329d1f6ae2917de","observation_id":"1ad3010f-7f41-4b9a-81fb-06aa2b7f8530","resolution":{"observed_at":"2026-08-07T06:03:04.199765Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T06:03:04.170102Z","title":"UOT electric march II","venue":null,"work_id":"5da152d1-1382-444d-831f-94b5e835bedd","year":2004},"citing_paper":{"arxiv_id":"2506.06077","last_updated":"2025-06-06T13:33:15Z","snapshot_observed_at":"2026-08-07T05:58:27.402167Z","submitted_at":"2025-06-06T13:33:15Z","title":"Self driving algorithm for an active four wheel drive racecar","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:02.586820Z"},"links":{"citing_paper":"/paper/2506.06077"},"observation_digest":"sha256:a7b7f69b7400df88d812e80c20e3ec8cec620a1660afef3f070b259afa7d80a4","observation_id":"76708e7d-65a6-4cfa-a032-1e1c565a62b2","resolution":{"observed_at":"2026-08-07T06:03:04.175600Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T06:03:04.154381Z","title":"Lateral-Stability-Oriented Path-Tracking Control Design for Four- Wheel Independent Drive Autonomous Vehicles with Tire Dynamic Characteristics under Extreme Conditions","venue":null,"work_id":"01520b3c-91a5-417a-b588-1e3db395d78b","year":2024},"citing_paper":{"arxiv_id":"2506.06077","last_updated":"2025-06-06T13:33:15Z","snapshot_observed_at":"2026-08-07T05:58:27.402167Z","submitted_at":"2025-06-06T13:33:15Z","title":"Self driving algorithm for an active four wheel drive racecar","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:02.592353Z"},"links":{"citing_paper":"/paper/2506.06077"},"observation_digest":"sha256:48701788c06d411a5648036b875533b01d7c9a90be23291e953aecf71d04b0f5","observation_id":"6b8110da-39f6-474f-a330-c49e05954d92","resolution":{"observed_at":"2026-08-07T06:03:04.159465Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"document/1631727","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:03:03.696661Z","title":"Optimum traction force distribution for stability improvement of 4WD EV in critical driving condition","venue":null,"work_id":"edcc149a-ec5d-471e-9f69-d01d981f9cb5","year":2006},"citing_paper":{"arxiv_id":"2506.06077","last_updated":"2025-06-06T13:33:15Z","snapshot_observed_at":"2026-08-07T05:58:27.402167Z","submitted_at":"2025-06-06T13:33:15Z","title":"Self driving algorithm for an active four wheel drive racecar","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:02.598907Z"},"links":{"citing_paper":"/paper/2506.06077"},"observation_digest":"sha256:88c85d34beb0cbaf2bba0f847772139b1100f99f9511ed8e338ed470b7c86b7e","observation_id":"68d52ddf-8aee-4d99-bdda-94196b4626bc","resolution":{"observed_at":"2026-08-07T06:03:03.707912Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T06:03:04.137311Z","title":"Research on Robust Control for longitudinal Impact of 4 Wheel-Drive Hybrid Electric Vehicle","venue":null,"work_id":"f85c69bf-9396-4ba4-9267-bea18e890910","year":2011},"citing_paper":{"arxiv_id":"2506.06077","last_updated":"2025-06-06T13:33:15Z","snapshot_observed_at":"2026-08-07T05:58:27.402167Z","submitted_at":"2025-06-06T13:33:15Z","title":"Self driving algorithm for an active four wheel drive racecar","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:02.606441Z"},"links":{"citing_paper":"/paper/2506.06077"},"observation_digest":"sha256:0f81905d34c27e432a5e5adeea6a3f32e47d53c26d02c6eb31eb83341049046e","observation_id":"154a4aa9-68dc-4025-9ed5-686e8b73df31","resolution":{"observed_at":"2026-08-07T06:03:04.142805Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T06:03:04.121894Z","title":"Time Optimal Control of Four-in-Wheel-Motors Driven Electric Cars","venue":null,"work_id":"3f1646f5-9df9-4cbd-a0f6-b024e7685e45","year":2014},"citing_paper":{"arxiv_id":"2506.06077","last_updated":"2025-06-06T13:33:15Z","snapshot_observed_at":"2026-08-07T05:58:27.402167Z","submitted_at":"2025-06-06T13:33:15Z","title":"Self driving algorithm for an active four wheel drive racecar","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:02.612097Z"},"links":{"citing_paper":"/paper/2506.06077"},"observation_digest":"sha256:b67893b564bb6018b5339f5d370b59312f9bcb3a94f30ef3c1e76716adbd1cc4","observation_id":"15cd859c-3c14-4ac5-8324-712a955318bd","resolution":{"observed_at":"2026-08-07T06:03:04.126961Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2015.0437","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:03:03.607268Z","title":"Model predictive control allocation for stability improvement of four-wheel drive electric vehicles in critical driving condition","venue":null,"work_id":"83cf14e5-0c32-4269-8aa4-1a3e05f3c916","year":2015},"citing_paper":{"arxiv_id":"2506.06077","last_updated":"2025-06-06T13:33:15Z","snapshot_observed_at":"2026-08-07T05:58:27.402167Z","submitted_at":"2025-06-06T13:33:15Z","title":"Self driving algorithm for an active four wheel drive racecar","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:02.620944Z"},"links":{"citing_paper":"/paper/2506.06077"},"observation_digest":"sha256:1e9a7fd66f222af49079ec1410501f5e486c78edbe31ce1a2d8829cdca8fe28e","observation_id":"a0b9aa42-ef85-44e9-8a38-31a21f17ee76","resolution":{"observed_at":"2026-08-07T06:03:03.617390Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"document/8754713","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:03:03.517137Z","title":"Learning-Based Model Predictive Control for Autonomous Racing","venue":null,"work_id":"3e9df79d-6dc8-4007-b638-d6b3418a08d3","year":2019},"citing_paper":{"arxiv_id":"2506.06077","last_updated":"2025-06-06T13:33:15Z","snapshot_observed_at":"2026-08-07T05:58:27.402167Z","submitted_at":"2025-06-06T13:33:15Z","title":"Self driving algorithm for an active four wheel drive racecar","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:02.626204Z"},"links":{"citing_paper":"/paper/2506.06077"},"observation_digest":"sha256:5a8bb3d69e612394b260b97bc0a5821d2edad8753f35acd47bd0ec42b647d62a","observation_id":"ce5b896d-0651-4c11-92c1-3c75246bdddb","resolution":{"observed_at":"2026-08-07T06:03:03.526179Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T06:03:04.105364Z","title":null,"venue":null,"work_id":"fd69e234-6dda-4f10-8cf4-dd6f1bf04552","year":2016},"citing_paper":{"arxiv_id":"2506.06077","last_updated":"2025-06-06T13:33:15Z","snapshot_observed_at":"2026-08-07T05:58:27.402167Z","submitted_at":"2025-06-06T13:33:15Z","title":"Self driving algorithm for an active four wheel drive racecar","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:02.631537Z"},"links":{"citing_paper":"/paper/2506.06077"},"observation_digest":"sha256:bc097fa850e8d0d4667a3bc9c079742e051af319df7ae1945f7042051d5cae61","observation_id":"90a9ac0e-63c0-44d3-84f9-a5da43358435","resolution":{"observed_at":"2026-08-07T06:03:04.110437Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T06:03:02.636801Z","title":"Reinforcement learning: An introduction","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.06077","last_updated":"2025-06-06T13:33:15Z","snapshot_observed_at":"2026-08-07T05:58:27.402167Z","submitted_at":"2025-06-06T13:33:15Z","title":"Self driving algorithm for an active four wheel drive racecar","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:02.636801Z"},"links":{"citing_paper":"/paper/2506.06077"},"observation_digest":"sha256:53cb395c31c591bd5f161142535bb0e6ee866ff6686cbfd8409782df3f31b630","observation_id":"696f9dab-8ff0-48c0-a42c-3bc45e82c5dd","resolution":{"observed_at":"2026-08-07T06:03:02.636801Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1912.06680","last_updated":"2019-12-13T19:56:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2019-12-13T19:56:40Z","title":"Dota 2 with Large Scale Deep Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.06680","snapshot_observed_at":"2026-08-07T06:03:02.641207Z","title":"Dota 2 with Large Scale Deep Reinforcement Learning ; 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.06077","last_updated":"2025-06-06T13:33:15Z","snapshot_observed_at":"2026-08-07T05:58:27.402167Z","submitted_at":"2025-06-06T13:33:15Z","title":"Self driving algorithm for an active four wheel drive racecar","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:02.641207Z"},"links":{"cited_paper":"/paper/1912.06680","citing_paper":"/paper/2506.06077"},"observation_digest":"sha256:d18a5eea6e08f79c0f4e5d3184b23763f51e26a2f0d9b76cb47ae0b88dd0827d","observation_id":"623b973b-7d63-4db5-b8f9-c5e10cd08480","resolution":{"observed_at":"2026-08-07T06:03:02.641207Z","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":"2026-08-07T06:03:04.077649Z","title":"Grandmaster level in StarCraft II using multi-agent reinforcement learning","venue":null,"work_id":"162c8fb2-8ae5-434a-82e7-1b9db8ccfdfb","year":2019},"citing_paper":{"arxiv_id":"2506.06077","last_updated":"2025-06-06T13:33:15Z","snapshot_observed_at":"2026-08-07T05:58:27.402167Z","submitted_at":"2025-06-06T13:33:15Z","title":"Self driving algorithm for an active four wheel drive racecar","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:02.647100Z"},"links":{"citing_paper":"/paper/2506.06077"},"observation_digest":"sha256:796b5cc8b761a48b4434328009d9ad2dc65d5d530344c7216f6d5df2187c31f9","observation_id":"e189b416-39b5-40f8-a71b-00dd25334e22","resolution":{"observed_at":"2026-08-07T06:03:04.082482Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T06:03:04.062157Z","title":"Human-level control through deep reinforcement learning","venue":null,"work_id":"3acb755c-a949-4cf8-836d-dcd8e5e41fa0","year":2015},"citing_paper":{"arxiv_id":"2506.06077","last_updated":"2025-06-06T13:33:15Z","snapshot_observed_at":"2026-08-07T05:58:27.402167Z","submitted_at":"2025-06-06T13:33:15Z","title":"Self driving algorithm for an active four wheel drive racecar","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:02.651551Z"},"links":{"citing_paper":"/paper/2506.06077"},"observation_digest":"sha256:e4b09bf37c6e35f3b8fd75622b5a2db8acf1e5a9d2d0e03d31a8ac2a73fdfbfb","observation_id":"bd291f0c-54a4-46c7-8941-ab913de13c83","resolution":{"observed_at":"2026-08-07T06:03:04.067010Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T06:03:04.047966Z","title":"Solving Rubik’s Cube with a Robot Hand","venue":null,"work_id":"2900aa79-323f-4814-a8c0-f81bd5c9a80d","year":null},"citing_paper":{"arxiv_id":"2506.06077","last_updated":"2025-06-06T13:33:15Z","snapshot_observed_at":"2026-08-07T05:58:27.402167Z","submitted_at":"2025-06-06T13:33:15Z","title":"Self driving algorithm for an active four wheel drive racecar","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:02.655893Z"},"links":{"citing_paper":"/paper/2506.06077"},"observation_digest":"sha256:e3188cf126dd92183c880989b21c622efab61d13f6d3c3505f8acc7a7893ca03","observation_id":"05269cb8-6514-48eb-a046-3606b8795d99","resolution":{"observed_at":"2026-08-07T06:03:04.052685Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1707.02286","last_updated":"2017-07-10T18:52:12Z","snapshot_observed_at":"2026-08-07T14:25:24.834248Z","submitted_at":"2017-07-07T17:56:57Z","title":"Emergence of Locomotion Behaviours in Rich Environments","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1707.02286","snapshot_observed_at":"2026-08-07T06:03:02.665102Z","title":"Emergence of Locomotion Behaviours in Rich Environ- ments ; 2017","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.06077","last_updated":"2025-06-06T13:33:15Z","snapshot_observed_at":"2026-08-07T05:58:27.402167Z","submitted_at":"2025-06-06T13:33:15Z","title":"Self driving algorithm for an active four wheel drive racecar","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:02.665102Z"},"links":{"cited_paper":"/paper/1707.02286","citing_paper":"/paper/2506.06077"},"observation_digest":"sha256:c4045fbe3b4a9a15a0afef1e0011c0b6e95330136d6aba13567bdd1b87f7c4fb","observation_id":"cdeb9dcc-16d0-4041-b6e5-4eb2bc2c4561","resolution":{"observed_at":"2026-08-07T06:03:02.665102Z","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":"2026-08-07T06:03:04.032744Z","title":"Soft Actor-Critic: Off-Policy Maximum Entropy DeepReinforcementLearningwithaStochasticActor.In:Proceedingsofthe35thInterna- tional Conference on Machine Learning; Jul","venue":null,"work_id":"37b0290e-6e0e-469f-9cb1-44cc9bcc150c","year":2018},"citing_paper":{"arxiv_id":"2506.06077","last_updated":"2025-06-06T13:33:15Z","snapshot_observed_at":"2026-08-07T05:58:27.402167Z","submitted_at":"2025-06-06T13:33:15Z","title":"Self driving algorithm for an active four wheel drive racecar","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:02.669780Z"},"links":{"citing_paper":"/paper/2506.06077"},"observation_digest":"sha256:8ed81239fedd9433a7cad5556f20ca29adb2b2c31baab969fdbcfaac2489e0f5","observation_id":"96ca7eb6-3179-4b24-9247-304a48793a22","resolution":{"observed_at":"2026-08-07T06:03:04.037400Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1707.06347","last_updated":"2017-08-28T09:20:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-07-20T02:32:33Z","title":"Proximal Policy Optimization Algorithms","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1707.06347","snapshot_observed_at":"2026-08-07T06:03:02.674358Z","title":"Proximal Policy Optimization Algorithms ; 2017","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.06077","last_updated":"2025-06-06T13:33:15Z","snapshot_observed_at":"2026-08-07T05:58:27.402167Z","submitted_at":"2025-06-06T13:33:15Z","title":"Self driving algorithm for an active four wheel drive racecar","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:02.674358Z"},"links":{"cited_paper":"/paper/1707.06347","citing_paper":"/paper/2506.06077"},"observation_digest":"sha256:07ac1e480f466998956c9e2108759539d2030212c5a1c46bdc5cf287dd5a18c9","observation_id":"b5f426bf-b9e7-413d-bd02-c8ecca28b112","resolution":{"observed_at":"2026-08-07T06:03:02.674358Z","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":"2026-08-07T06:03:04.017406Z","title":"Available from: https://sourceforge","venue":null,"work_id":"cfc4820d-baec-476e-8ad4-5c42f22467d2","year":2020},"citing_paper":{"arxiv_id":"2506.06077","last_updated":"2025-06-06T13:33:15Z","snapshot_observed_at":"2026-08-07T05:58:27.402167Z","submitted_at":"2025-06-06T13:33:15Z","title":"Self driving algorithm for an active four wheel drive racecar","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:02.680159Z"},"links":{"citing_paper":"/paper/2506.06077"},"observation_digest":"sha256:a5f1430cf19e9c186e6edac280d7e203de568eebf2118484f323487e481f64a4","observation_id":"48f698c9-2f94-412a-9369-c07900f2a104","resolution":{"observed_at":"2026-08-07T06:03:04.022421Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"3114.2022","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:03:03.357539Z","title":"Minimum lap time trajectory optimisation of per- formance vehicles with four-wheel drive and active aerodynamic control","venue":null,"work_id":"d20c185e-7021-4423-a760-63d4ba493029","year":2023},"citing_paper":{"arxiv_id":"2506.06077","last_updated":"2025-06-06T13:33:15Z","snapshot_observed_at":"2026-08-07T05:58:27.402167Z","submitted_at":"2025-06-06T13:33:15Z","title":"Self driving algorithm for an active four wheel drive racecar","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:02.687487Z"},"links":{"citing_paper":"/paper/2506.06077"},"observation_digest":"sha256:b349b28ddce5a31f9d59bbafe4598fc4e1c1a667fff305320f6e18e8373a3a42","observation_id":"b68332af-1629-473d-abdb-85b3a4fd485c","resolution":{"observed_at":"2026-08-07T06:03:03.366466Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.02710","last_updated":"2024-08-22T15:55:11Z","snapshot_observed_at":"2026-08-07T01:31:47.333398Z","submitted_at":"2021-10-06T12:59:14Z","title":"Contextual Tuning of Model Predictive Control for Autonomous Racing","version":2},"cited_work":{"arxiv_id":"2110.02710","doi":null,"metadata_source":"pith","pith_arxiv_id":"2110.02710","snapshot_observed_at":"2026-08-07T06:03:03.268865Z","title":"Contextual Tuning of Model Predictive Control for Autonomous Racing","venue":"cs.RO","work_id":"adffb394-2668-40b2-b867-b5c30d95621b","year":2021},"citing_paper":{"arxiv_id":"2506.06077","last_updated":"2025-06-06T13:33:15Z","snapshot_observed_at":"2026-08-07T05:58:27.402167Z","submitted_at":"2025-06-06T13:33:15Z","title":"Self driving algorithm for an active four wheel drive racecar","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:02.693884Z"},"links":{"cited_paper":"/paper/2110.02710","citing_paper":"/paper/2506.06077"},"observation_digest":"sha256:bcf331605a202534f856b044fae06c8d966f784ff50533bedda958af330a1cb9","observation_id":"c260445d-a01f-4cbb-a64f-243568bb5139","resolution":{"observed_at":"2026-08-07T06:03:03.273576Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2109.05170","last_updated":"2023-02-06T05:28:19Z","snapshot_observed_at":"2026-07-06T11:46:33.438655Z","submitted_at":"2021-09-11T03:07:50Z","title":"Two-timescale Mechanism-and-Data-Driven Control for Aggressive Driving of Autonomous Cars","version":2},"cited_work":{"arxiv_id":"2109.05170","doi":null,"metadata_source":"pith","pith_arxiv_id":"2109.05170","snapshot_observed_at":"2026-08-07T06:03:03.246953Z","title":"Two-timescale Mechanism-and-Data-Driven Control for Aggressive Driving of Autonomous Cars","venue":"cs.RO","work_id":"9000c2b9-c36c-40ad-9d8c-d87afa17602e","year":2021},"citing_paper":{"arxiv_id":"2506.06077","last_updated":"2025-06-06T13:33:15Z","snapshot_observed_at":"2026-08-07T05:58:27.402167Z","submitted_at":"2025-06-06T13:33:15Z","title":"Self driving algorithm for an active four wheel drive racecar","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:02.701200Z"},"links":{"cited_paper":"/paper/2109.05170","citing_paper":"/paper/2506.06077"},"observation_digest":"sha256:770bf8c054a80d1561f09183a81f60875fb1cdb23dabac5e23ec0bf0a15a9cd9","observation_id":"38239752-1b8c-4d38-837f-12d16ef32136","resolution":{"observed_at":"2026-08-07T06:03:03.252865Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"document/1001192","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:03:03.222339Z","title":"Sim-to-real: Quadruped Robot Control with Deep Reinforcement Learning and Parallel Training","venue":null,"work_id":"093b79ee-b6a4-419e-8693-efa5bb700d64","year":2022},"citing_paper":{"arxiv_id":"2506.06077","last_updated":"2025-06-06T13:33:15Z","snapshot_observed_at":"2026-08-07T05:58:27.402167Z","submitted_at":"2025-06-06T13:33:15Z","title":"Self driving algorithm for an active four wheel drive racecar","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:02.708333Z"},"links":{"citing_paper":"/paper/2506.06077"},"observation_digest":"sha256:e8d4beb8914feec1ddbd5a42bf19cc197499b6f0109c596d79fe3d303fe17d84","observation_id":"b2a86d49-bbcf-4fa7-89b1-78021ddf94f7","resolution":{"observed_at":"2026-08-07T06:03:03.230431Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"document/9028188","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:03:03.137747Z","title":"DeepGait: Planning and Control of Quadrupedal Gaits Using Deep Reinforcement Learning","venue":null,"work_id":"0f819e29-379d-4735-8c33-be1e185828d7","year":2020},"citing_paper":{"arxiv_id":"2506.06077","last_updated":"2025-06-06T13:33:15Z","snapshot_observed_at":"2026-08-07T05:58:27.402167Z","submitted_at":"2025-06-06T13:33:15Z","title":"Self driving algorithm for an active four wheel drive racecar","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:02.714011Z"},"links":{"citing_paper":"/paper/2506.06077"},"observation_digest":"sha256:094fae709bb9c3fecdd700a277ee78f277febf4c559d79b0c45eb1911b833532","observation_id":"65df9936-aefe-4ea8-b0b8-3c96c2fd593e","resolution":{"observed_at":"2026-08-07T06:03:03.146377Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T06:03:04.000340Z","title":"Practicability analy- sis of online deep reinforcement learning towards energy management strat- egy of 4WD-BEVs driven by dual-motor in-wheel motors","venue":null,"work_id":"c1c3052d-b101-4770-90fb-a31496019121","year":2023},"citing_paper":{"arxiv_id":"2506.06077","last_updated":"2025-06-06T13:33:15Z","snapshot_observed_at":"2026-08-07T05:58:27.402167Z","submitted_at":"2025-06-06T13:33:15Z","title":"Self driving algorithm for an active four wheel drive racecar","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:02.719065Z"},"links":{"citing_paper":"/paper/2506.06077"},"observation_digest":"sha256:b9c06c6afde56affb191d4c0460e49fe56124192598a19aa11996866634afe37","observation_id":"58097e94-b7f1-45a9-a4c4-39c8037fd28c","resolution":{"observed_at":"2026-08-07T06:03:04.005829Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.08425","last_updated":"2024-08-15T21:22:17Z","snapshot_observed_at":"2026-08-06T08:11:13.840267Z","submitted_at":"2024-08-15T21:22:17Z","title":"Physics-Guided Reinforcement Learning System for Realistic Vehicle Active Suspension Control","version":1},"cited_work":{"arxiv_id":"2408.08425","doi":null,"metadata_source":"pith","pith_arxiv_id":"2408.08425","snapshot_observed_at":"2026-08-07T06:03:02.991310Z","title":"Physics-Guided Reinforcement Learning System for Realistic Vehicle Active Suspension Control","venue":"cs.RO","work_id":"e046b846-fb31-40a7-946e-366acfa8f540","year":2024},"citing_paper":{"arxiv_id":"2506.06077","last_updated":"2025-06-06T13:33:15Z","snapshot_observed_at":"2026-08-07T05:58:27.402167Z","submitted_at":"2025-06-06T13:33:15Z","title":"Self driving algorithm for an active four wheel drive racecar","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:02.724160Z"},"links":{"cited_paper":"/paper/2408.08425","citing_paper":"/paper/2506.06077"},"observation_digest":"sha256:3fbda55691fa3817936b33c5d2cecbbf89d2d9bb122f99d3dc480fd7056e41fb","observation_id":"435d7621-3634-45dc-ac39-29a84dc1915e","resolution":{"observed_at":"2026-08-07T06:03:02.998569Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T06:03:03.984143Z","title":"Deep reinforcement learning based direct torque control strategy for distributed drive electric vehicles considering active safety and energy saving performance","venue":null,"work_id":"87b84361-42ec-45a4-926d-2189ea74acd2","year":2022},"citing_paper":{"arxiv_id":"2506.06077","last_updated":"2025-06-06T13:33:15Z","snapshot_observed_at":"2026-08-07T05:58:27.402167Z","submitted_at":"2025-06-06T13:33:15Z","title":"Self driving algorithm for an active four wheel drive racecar","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:02.729660Z"},"links":{"citing_paper":"/paper/2506.06077"},"observation_digest":"sha256:3b83d9a0b5ee32ee168052118877149f253805d97535003d53f6002bdaf16954","observation_id":"09939e45-98df-4810-9561-79ac3a6afa53","resolution":{"observed_at":"2026-08-07T06:03:03.989013Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T06:03:03.968799Z","title":"Deep Reinforcement Learning-Based Torque Vector- ing Control Considering Economy and Safety","venue":null,"work_id":"a22a119d-0193-4a01-8ec1-f989ddd1cbb1","year":2023},"citing_paper":{"arxiv_id":"2506.06077","last_updated":"2025-06-06T13:33:15Z","snapshot_observed_at":"2026-08-07T05:58:27.402167Z","submitted_at":"2025-06-06T13:33:15Z","title":"Self driving algorithm for an active four wheel drive racecar","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:02.735490Z"},"links":{"citing_paper":"/paper/2506.06077"},"observation_digest":"sha256:94753bbdc8e919c5ce28d5b6bfbd7f256f6af74abd60c797576df3fb15265051","observation_id":"e6b6af79-3e83-4d13-aa9d-1bb0bdaf0c22","resolution":{"observed_at":"2026-08-07T06:03:03.973966Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T06:03:03.954028Z","title":"Path Tracking Control for Four-Wheel Independent Steering and Driving Vehicles Based on Improved Deep Reinforcement Learning","venue":null,"work_id":"a1f68afe-89da-4267-be07-f95e96e596ca","year":null},"citing_paper":{"arxiv_id":"2506.06077","last_updated":"2025-06-06T13:33:15Z","snapshot_observed_at":"2026-08-07T05:58:27.402167Z","submitted_at":"2025-06-06T13:33:15Z","title":"Self driving algorithm for an active four wheel drive racecar","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:02.740076Z"},"links":{"citing_paper":"/paper/2506.06077"},"observation_digest":"sha256:c63637f8acef052989fc2e6ca48f7c8df39cf1bcfc97b7e83c41c2222ae060c2","observation_id":"bdea7a66-e839-492b-bcc4-1999ae8cdc96","resolution":{"observed_at":"2026-08-07T06:03:03.958833Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T06:03:03.937268Z","title":"Champion-level drone racing us- ing deep reinforcement learning","venue":null,"work_id":"2acd4773-5d7c-40b4-9039-1e719f4c6f64","year":2023},"citing_paper":{"arxiv_id":"2506.06077","last_updated":"2025-06-06T13:33:15Z","snapshot_observed_at":"2026-08-07T05:58:27.402167Z","submitted_at":"2025-06-06T13:33:15Z","title":"Self driving algorithm for an active four wheel drive racecar","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:02.745830Z"},"links":{"citing_paper":"/paper/2506.06077"},"observation_digest":"sha256:d7a604a5b2c9d8e92b7541d03bbaa104c9731b38d3273e30b52994012002647e","observation_id":"73b6915c-1f3a-4c2d-a41a-3141b3ca4672","resolution":{"observed_at":"2026-08-07T06:03:03.942874Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.02420","last_updated":"2025-08-13T11:10:11Z","snapshot_observed_at":"2026-08-07T16:12:06.754953Z","submitted_at":"2025-04-03T09:21:48Z","title":"On learning racing policies with reinforcement learning","version":2},"cited_work":{"arxiv_id":"2504.02420","doi":null,"metadata_source":"pith","pith_arxiv_id":"2504.02420","snapshot_observed_at":"2026-08-07T06:03:02.965871Z","title":"On learning racing policies with reinforcement learning","venue":"cs.RO","work_id":"8084725a-625c-424b-80b6-6aa65a0e5256","year":2025},"citing_paper":{"arxiv_id":"2506.06077","last_updated":"2025-06-06T13:33:15Z","snapshot_observed_at":"2026-08-07T05:58:27.402167Z","submitted_at":"2025-06-06T13:33:15Z","title":"Self driving algorithm for an active four wheel drive racecar","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:02.750748Z"},"links":{"cited_paper":"/paper/2504.02420","citing_paper":"/paper/2506.06077"},"observation_digest":"sha256:942eed0cce28827bac2591a492c92b2d0063b61c08a67215b589fd653a7e3e5d","observation_id":"81e16b1a-0414-4cda-b458-f43c7c0df2ea","resolution":{"observed_at":"2026-08-07T06:03:02.971127Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.13491","last_updated":"2023-08-25T17:05:41Z","snapshot_observed_at":"2026-08-07T21:21:47.251940Z","submitted_at":"2023-08-25T17:05:41Z","title":"Towards Optimal Head-to-head Autonomous Racing with Curriculum Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2308.13491","doi":null,"metadata_source":"pith","pith_arxiv_id":"2308.13491","snapshot_observed_at":"2026-08-07T06:03:02.942168Z","title":"Towards Optimal Head-to-head Autonomous Racing with Curriculum Reinforcement Learning","venue":"cs.RO","work_id":"ced199dd-d520-412d-a316-7490f0acce5f","year":2023},"citing_paper":{"arxiv_id":"2506.06077","last_updated":"2025-06-06T13:33:15Z","snapshot_observed_at":"2026-08-07T05:58:27.402167Z","submitted_at":"2025-06-06T13:33:15Z","title":"Self driving algorithm for an active four wheel drive racecar","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:02.756008Z"},"links":{"cited_paper":"/paper/2308.13491","citing_paper":"/paper/2506.06077"},"observation_digest":"sha256:0529546671a59c26147671c6bd8001ee7b54b63e989247b1eb9491f19d736692","observation_id":"9ff6a636-ee53-4e7d-9e1c-1503fd8fc7c8","resolution":{"observed_at":"2026-08-07T06:03:02.947232Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.03803","last_updated":"2024-12-05T01:56:01Z","snapshot_observed_at":"2026-07-06T20:01:54.557848Z","submitted_at":"2024-12-05T01:56:01Z","title":"Towards an Autonomous Test Driver: High-Performance Driver Modeling via Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2412.03803","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.03803","snapshot_observed_at":"2026-08-07T06:03:02.920696Z","title":"Towards an Autonomous Test Driver: High-Performance Driver Modeling via Reinforcement Learning","venue":"cs.RO","work_id":"dc106e55-a468-4ff2-b15b-c7ae2709514a","year":2024},"citing_paper":{"arxiv_id":"2506.06077","last_updated":"2025-06-06T13:33:15Z","snapshot_observed_at":"2026-08-07T05:58:27.402167Z","submitted_at":"2025-06-06T13:33:15Z","title":"Self driving algorithm for an active four wheel drive racecar","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:02.760634Z"},"links":{"cited_paper":"/paper/2412.03803","citing_paper":"/paper/2506.06077"},"observation_digest":"sha256:76007d03aaec868a00072f8eca359273b18bb7c1c019f409d1dd24ac959a31ac","observation_id":"3aa7e245-1841-4725-b218-0d9baaabbf12","resolution":{"observed_at":"2026-08-07T06:03:02.925819Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.00358","last_updated":"2025-09-08T02:44:25Z","snapshot_observed_at":"2026-07-06T19:25:01.580792Z","submitted_at":"2024-10-01T03:07:48Z","title":"AARK: An Open Toolkit for Autonomous Racing Research","version":2},"cited_work":{"arxiv_id":"2410.00358","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.00358","snapshot_observed_at":"2026-08-07T06:03:02.893285Z","title":"AARK: An Open Toolkit for Autonomous Racing Research","venue":"cs.RO","work_id":"86ac898f-7e7a-4193-9882-e2c0c0a2d037","year":2024},"citing_paper":{"arxiv_id":"2506.06077","last_updated":"2025-06-06T13:33:15Z","snapshot_observed_at":"2026-08-07T05:58:27.402167Z","submitted_at":"2025-06-06T13:33:15Z","title":"Self driving algorithm for an active four wheel drive racecar","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:02.766001Z"},"links":{"cited_paper":"/paper/2410.00358","citing_paper":"/paper/2506.06077"},"observation_digest":"sha256:d37cffe63b24b782f7818061499df4e90cdb1cc49ca597a0700ca7c72abcb108","observation_id":"e9f20b93-2e53-4a23-ae67-b2c362b9f2ff","resolution":{"observed_at":"2026-08-07T06:03:02.899531Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T06:03:03.919802Z","title":"Vision based driving agent for race car simulation environments","venue":null,"work_id":"90240e6d-ba16-43f8-9931-3b92fdc0673f","year":null},"citing_paper":{"arxiv_id":"2506.06077","last_updated":"2025-06-06T13:33:15Z","snapshot_observed_at":"2026-08-07T05:58:27.402167Z","submitted_at":"2025-06-06T13:33:15Z","title":"Self driving algorithm for an active four wheel drive racecar","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:02.770949Z"},"links":{"citing_paper":"/paper/2506.06077"},"observation_digest":"sha256:31fbd7991f828152a1dc2c6557ff30d427dd4fb37d294563e94f1ec93ec7942c","observation_id":"21f2e713-7437-4eb7-944a-31448ff844c0","resolution":{"observed_at":"2026-08-07T06:03:03.925704Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T06:03:03.901719Z","title":"Stable-Baselines3: Reliable Reinforcement Learning Im- plementations","venue":null,"work_id":"43bfa387-7382-48e8-99e5-2051855fb58e","year":2021},"citing_paper":{"arxiv_id":"2506.06077","last_updated":"2025-06-06T13:33:15Z","snapshot_observed_at":"2026-08-07T05:58:27.402167Z","submitted_at":"2025-06-06T13:33:15Z","title":"Self driving algorithm for an active four wheel drive racecar","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:02.784107Z"},"links":{"citing_paper":"/paper/2506.06077"},"observation_digest":"sha256:4daa1befa4b3541ceaecd930b6d2f0f3a51f2b4bff1b5b81e2f8d3a32b42b81c","observation_id":"e4bb41e6-5e39-423b-9a0a-fdbac9e0b1e4","resolution":{"observed_at":"2026-08-07T06:03:03.907663Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2008.07971","last_updated":"2021-05-09T16:03:52Z","snapshot_observed_at":"2026-07-06T09:48:06.247669Z","submitted_at":"2020-08-18T15:06:44Z","title":"Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning","version":2},"cited_work":{"arxiv_id":"2008.07971","doi":null,"metadata_source":"pith","pith_arxiv_id":"2008.07971","snapshot_observed_at":"2026-08-07T06:03:02.842921Z","title":"Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning","venue":"cs.AI","work_id":"ee5465e5-45a6-4b92-8c3e-2f240193e174","year":2020},"citing_paper":{"arxiv_id":"2506.06077","last_updated":"2025-06-06T13:33:15Z","snapshot_observed_at":"2026-08-07T05:58:27.402167Z","submitted_at":"2025-06-06T13:33:15Z","title":"Self driving algorithm for an active four wheel drive racecar","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:02.789524Z"},"links":{"cited_paper":"/paper/2008.07971","citing_paper":"/paper/2506.06077"},"observation_digest":"sha256:b8796dd9d87c666c6c5998e3e0be61fe1d1dbafcc6fe1725db0006e033d8be0a","observation_id":"0ec79b2e-4bfc-4dea-9d11-9e9ecabdbdbc","resolution":{"observed_at":"2026-08-07T06:03:02.850217Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T06:03:03.874520Z","title":"Outracing champion Gran Turismo drivers with deep reinforcement learning","venue":null,"work_id":"2bc337fb-8b86-45b0-b316-7371d195dffa","year":2022},"citing_paper":{"arxiv_id":"2506.06077","last_updated":"2025-06-06T13:33:15Z","snapshot_observed_at":"2026-08-07T05:58:27.402167Z","submitted_at":"2025-06-06T13:33:15Z","title":"Self driving algorithm for an active four wheel drive racecar","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:02.796273Z"},"links":{"citing_paper":"/paper/2506.06077"},"observation_digest":"sha256:dcd2491b7323ef40b68c1a11b8b1d548b6086b48e2aadb9ad61e07ac9b90e0e6","observation_id":"abe8a13c-e32d-467d-b850-7db4d7b514bf","resolution":{"observed_at":"2026-08-07T06:03:03.881116Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1910.07113","last_updated":"2019-10-16T00:59:05Z","snapshot_observed_at":"2026-08-02T15:37:37.200292Z","submitted_at":"2019-10-16T00:59:05Z","title":"Solving Rubik's Cube with a Robot Hand","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.07113","snapshot_observed_at":"2026-08-07T06:03:02.660262Z","title":null,"venue":null,"work_id":null,"year":1910},"citing_paper":{"arxiv_id":"2506.06077","last_updated":"2025-06-06T13:33:15Z","snapshot_observed_at":"2026-08-07T05:58:27.402167Z","submitted_at":"2025-06-06T13:33:15Z","title":"Self driving algorithm for an active four wheel drive racecar","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:02.660262Z"},"links":{"cited_paper":"/paper/1910.07113","citing_paper":"/paper/2506.06077"},"observation_digest":"sha256:c03dd15c9cc987e0e281d2d0189b95c6843493febe2db0ce1a55e620272ff7fc","observation_id":"cd87c330-a039-4a38-a6e5-bbfefe01e848","resolution":{"observed_at":"2026-08-07T06:03:02.660262Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.10266","last_updated":"2025-04-14T14:29:37Z","snapshot_observed_at":"2026-08-07T16:05:52.359257Z","submitted_at":"2025-04-14T14:29:37Z","title":"Vision based driving agent for race car simulation environments","version":1},"cited_work":{"arxiv_id":"2504.10266","doi":null,"metadata_source":"pith","pith_arxiv_id":"2504.10266","snapshot_observed_at":"2026-08-07T06:03:02.867685Z","title":"Vision based driving agent for race car simulation environments","venue":"cs.RO","work_id":"f66f0443-e709-4d70-894d-cd1c200325c9","year":2025},"citing_paper":{"arxiv_id":"2506.06077","last_updated":"2025-06-06T13:33:15Z","snapshot_observed_at":"2026-08-07T05:58:27.402167Z","submitted_at":"2025-06-06T13:33:15Z","title":"Self driving algorithm for an active four wheel drive racecar","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:02.778381Z"},"links":{"cited_paper":"/paper/2504.10266","citing_paper":"/paper/2506.06077"},"observation_digest":"sha256:35db3fabd20f82b34bfb8ebf77b3a67d7aa3da160ab82de8edefd996c471b7b9","observation_id":"51bec341-bb95-47c9-b8ca-5a0acdc5d11c","resolution":{"observed_at":"2026-08-07T06:03:02.872680Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.06077","last_updated":"2025-06-06T13:33:15Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-07T05:58:27.402167Z","submitted_at":"2025-06-06T13:33:15Z","title":"Self driving algorithm for an active four wheel drive racecar"},"reference_resolution":{"displayed":42,"state_counts":{"malformed_identifier":0,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":7,"verified_exact":15,"verified_fuzzy":18},"total_outbound_references":42},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2506.06077."}