{"as_of":"2026-08-13T12:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c01d272f572fa7144ef055f44713839db6fad38a9977a213269beeaa06032ede","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":"2026-08-12T14:31:14.388925Z","state":"measured"},{"denominator":43,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":43,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-10T18:18:05.636131Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-11T00:50:50.534945Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots","version":1},"cited_work":{"arxiv_id":"2411.15130","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.15130","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Kurtland Chua, Roberto Calandra, Rowan McAllister, and Sergey Levine","venue":null,"work_id":"a0ae59aa-b81b-4bb9-ad5b-196df1ce9875","year":null},"citing_paper":{"arxiv_id":"2604.08958","last_updated":"2026-06-11T05:02:53Z","snapshot_observed_at":"2026-08-01T22:02:36.657096Z","submitted_at":"2026-04-10T04:57:54Z","title":"WOMBET: World Model-Based Experience Transfer for Robust and Sample-efficient Reinforcement Learning","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-10T18:18:05.636131Z"},"links":{"cited_paper":"/paper/2411.15130","citing_paper":"/paper/2604.08958"},"observation_digest":"sha256:51a01ced4fa7781253e27e8167b99d96f0628f6e189465b09986009cff09c942","observation_id":"7ba77d75-fbe5-4fce-a21c-201682ab0052","resolution":{"observed_at":"2026-05-11T00:50:50.536510Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2411.15130/citation-record","integrity":"/paper/2411.15130/integrity","json":"/paper/2411.15130/citation-record.json","paper":"/paper/2411.15130"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T14:31:14.976787Z","title":"Flapping and flexible wings for biological and micro air vehicles,","venue":null,"work_id":"ec3cfedc-63ee-4f9a-ba8f-32f537c4cdd7","year":1999},"citing_paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T14:31:14.213456Z"},"links":{"citing_paper":"/paper/2411.15130"},"observation_digest":"sha256:21498a08f3ab0da20d894937653fe82e88e77546a197792d056284f1af9cb0f6","observation_id":"1036bab9-2674-4c1a-a314-0945ea09f9ff","resolution":{"observed_at":"2026-08-12T14:31:14.980932Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T14:31:14.963279Z","title":"Recent progress in flapping wing aerodynamics and aeroelasticity,","venue":null,"work_id":"05061f7c-1a5f-4e38-8295-916cc6622a3a","year":2010},"citing_paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T14:31:14.218196Z"},"links":{"citing_paper":"/paper/2411.15130"},"observation_digest":"sha256:2da39f5b6c2f55db96fc04fcd53c5446289b4d813f91abfec77507ba9da1a353","observation_id":"544c248f-15ed-4e23-90f9-7473ed11dd9c","resolution":{"observed_at":"2026-08-12T14:31:14.968020Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T14:31:14.949799Z","title":"Hovering efficiency comparison of rotary and flapping flight for rigid rectangular wings via dimensionless multi-objective optimization,","venue":null,"work_id":"0b38e521-fdfd-45e5-b19d-4b87f01fa3da","year":2018},"citing_paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T14:31:14.223015Z"},"links":{"citing_paper":"/paper/2411.15130"},"observation_digest":"sha256:220d17803bb46221a13cb917372ec7f1db8e2748e1d15c0442c91569d698098f","observation_id":"d42e1cfb-0a21-4d74-9f4f-26dd0741ebd3","resolution":{"observed_at":"2026-08-12T14:31:14.954432Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T14:31:14.937128Z","title":"Flight dynamics and con- trol of flapping-wing mavs: a review,","venue":null,"work_id":"ab340a76-149d-483b-a2a5-1098d8e0d292","year":2012},"citing_paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T14:31:14.227770Z"},"links":{"citing_paper":"/paper/2411.15130"},"observation_digest":"sha256:278bf0d97324077052dafaa30904f31895f6f52b737f42722e34b6382ea72d59","observation_id":"3ca29da8-ad5d-466e-939d-ea905f5740dc","resolution":{"observed_at":"2026-08-12T14:31:14.941345Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T14:31:14.924279Z","title":"Comment on “modeling and sim- ulation of nonlinear dynamics of flapping wing micro air vehicles","venue":null,"work_id":"d45e6801-946e-4d6e-82e7-beb2dd6cb4b2","year":2019},"citing_paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T14:31:14.232356Z"},"links":{"citing_paper":"/paper/2411.15130"},"observation_digest":"sha256:e296073238f5dc704327de3b4d46f823e9da13fb7522ddc2ba2fa3e57449cc7e","observation_id":"97152611-d5c6-459c-863a-15fe0aa16fdd","resolution":{"observed_at":"2026-08-12T14:31:14.928567Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T14:31:14.910906Z","title":"Key technologies of bird inspired flapping-wing micro aerial vehicles: Review,","venue":null,"work_id":"76e179a8-bbf1-41e8-9f1a-c864a90a6097","year":2024},"citing_paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T14:31:14.236808Z"},"links":{"citing_paper":"/paper/2411.15130"},"observation_digest":"sha256:2317375eb267a456967ca2a6a1305e701d99550211f38185e92af44616070733","observation_id":"792b85a4-4660-490e-ae52-bfa6b28a03cd","resolution":{"observed_at":"2026-08-12T14:31:14.915158Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T14:31:14.898218Z","title":"Applications of the unsteady vortex-lattice method in aircraft aeroelasticity and flight dynamics,","venue":null,"work_id":"509dcd50-728a-40e6-ae4e-15f7bb52095f","year":2012},"citing_paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T14:31:14.241817Z"},"links":{"citing_paper":"/paper/2411.15130"},"observation_digest":"sha256:c4fb0b731f8b2502c61414c90893cbf3b70f14aa6d21b8b16bad082720d00230","observation_id":"25f6c254-1467-4cc9-a223-7d9d78569e2e","resolution":{"observed_at":"2026-08-12T14:31:14.902341Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T14:31:14.885500Z","title":"Unsteady lifting line theory using the wagner function for the aerodynamic and aeroelastic modeling of 3d wings,","venue":null,"work_id":"1af1b866-1ff5-47dc-a0a4-2f67d7d6d810","year":2018},"citing_paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T14:31:14.246063Z"},"links":{"citing_paper":"/paper/2411.15130"},"observation_digest":"sha256:e0eb28de7b04917f4a65ddb3aa9f044a3903800f602436ec3fec18a427620531","observation_id":"137f2fe6-b859-411e-9ea1-9c4ed4732eb4","resolution":{"observed_at":"2026-08-12T14:31:14.889842Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T14:31:14.872373Z","title":"Validation and optimization of ptera software: An open-source unsteady flow simulator for flapping wings,","venue":null,"work_id":"ac3f0f9c-8e46-47c9-b0de-03fa56defe82","year":2022},"citing_paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T14:31:14.250174Z"},"links":{"citing_paper":"/paper/2411.15130"},"observation_digest":"sha256:0242a2d1b3049a119a8100f6a80bfd325f3db45f4fca2c4bf76536a5d20df220","observation_id":"c893d46e-9ebc-4c14-af1b-8d49693a5145","resolution":{"observed_at":"2026-08-12T14:31:14.876793Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T14:31:14.860006Z","title":"Unsteady aero- dynamic modeling of aerobat using lifting line theory and wagner’s function,","venue":null,"work_id":"8f859dc5-1d91-4159-b074-2e830389c642","year":2022},"citing_paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T14:31:14.254320Z"},"links":{"citing_paper":"/paper/2411.15130"},"observation_digest":"sha256:87dd00a7ebe8b4aa32d2992182f1f54b2d935709a4998d8db30b24c127eaa145","observation_id":"e84847ec-4b5f-4c6e-a698-73f0ca56528b","resolution":{"observed_at":"2026-08-12T14:31:14.864052Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T14:31:14.846805Z","title":"Design, fabrication, and flight test of articulated ornithopter,","venue":null,"work_id":"43ac836d-46a3-46a4-96b9-c64f38f66d2f","year":2018},"citing_paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T14:31:14.258539Z"},"links":{"citing_paper":"/paper/2411.15130"},"observation_digest":"sha256:6afd3fe5d9f684af5c0437c9b6e86c2942634a0ae34dbb2389d5dfcd1caceded","observation_id":"7c2890fa-eac7-4603-a21c-e77eb12a61a4","resolution":{"observed_at":"2026-08-12T14:31:14.851406Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T14:31:14.833631Z","title":"Flapping wing micro-aerial-vehicle: Kinematics, membranes, and flapping mechanisms of ornithopter and insect flight,","venue":null,"work_id":"8abb0a9a-087e-476d-a6b9-c213b0b8c4f1","year":2016},"citing_paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T14:31:14.263381Z"},"links":{"citing_paper":"/paper/2411.15130"},"observation_digest":"sha256:e2d56e2efddc3e80a763a029fed608020d20df17fd7a40bbecb2be147f700234","observation_id":"149294a9-3f6f-46cd-a5af-6668e2dcd5ca","resolution":{"observed_at":"2026-08-12T14:31:14.837942Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T14:31:14.820520Z","title":"Active disturbance rejection attitude control for a bird-like flapping wing micro air vehicle during automatic landing,","venue":null,"work_id":"ab12dd44-4d93-4bb6-8568-4a96c697033d","year":2020},"citing_paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T14:31:14.267658Z"},"links":{"citing_paper":"/paper/2411.15130"},"observation_digest":"sha256:e32652a02222e70a3a60288a9dffbd1aa7c1efd1daaf29fe2d92bee3c0b24eeb","observation_id":"f369c1b0-70fa-4b55-97f8-4c95fd483a93","resolution":{"observed_at":"2026-08-12T14:31:14.824921Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T14:31:14.806261Z","title":"Attitude and altitude control on board of an ornithopter,","venue":null,"work_id":"5af320e0-5ffd-4e73-be5f-d0a4426feb93","year":2016},"citing_paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T14:31:14.272775Z"},"links":{"citing_paper":"/paper/2411.15130"},"observation_digest":"sha256:13c49ed77917ed910aba4eeab1b37451536e7862851620c882b8fd87f7d68d5a","observation_id":"ace1140e-2135-41f5-b6c6-7ab179cc33a1","resolution":{"observed_at":"2026-08-12T14:31:14.811140Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.05490","last_updated":"2024-05-09T01:34:54Z","snapshot_observed_at":"2026-08-13T00:11:55.810401Z","submitted_at":"2024-05-09T01:34:54Z","title":"Banking Turn of High-DOF Dynamic Morphing Wing Flight by Shifting Structure Response Using Optimization","version":1},"cited_work":{"arxiv_id":"2405.05490","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.05490","snapshot_observed_at":"2026-08-12T14:31:14.450486Z","title":"Banking Turn of High-DOF Dynamic Morphing Wing Flight by Shifting Structure Response Using Optimization","venue":"cs.RO","work_id":"0df58eb1-5c60-45db-952f-6282ac216555","year":2024},"citing_paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T14:31:14.276863Z"},"links":{"cited_paper":"/paper/2405.05490","citing_paper":"/paper/2411.15130"},"observation_digest":"sha256:5f27e589e5e28881be324ffb156b68bad8b2ecf418c4c088d2847f0641110f1c","observation_id":"3fc09815-577c-4a3a-8a01-e2ac1f7fbc70","resolution":{"observed_at":"2026-08-12T14:31:14.457192Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T14:31:14.793212Z","title":"Bounding flight control of dynamic morphing wings,","venue":null,"work_id":"a9b4bb5c-d245-42c6-a6e5-4fe263811cb8","year":2024},"citing_paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T14:31:14.281243Z"},"links":{"citing_paper":"/paper/2411.15130"},"observation_digest":"sha256:3a6fc4eb662970e38fe871620d2ebfd99a819d013855567ba5bc94363d25acd7","observation_id":"2dc96922-0894-44c4-829d-6f61208a9d6f","resolution":{"observed_at":"2026-08-12T14:31:14.797494Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T14:31:14.779331Z","title":"Model predictive control for a 3-dof flapping-wing unmanned aerial vehicle with control constraints,","venue":null,"work_id":"5ef3d7d2-5c47-4327-9130-c849a5dc5cd8","year":2018},"citing_paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T14:31:14.285227Z"},"links":{"citing_paper":"/paper/2411.15130"},"observation_digest":"sha256:f24462c23cee106617c77d90bb2a548abc20db9f1c5679f357cdbf3a78420142","observation_id":"b0abd3ab-d051-4bae-be07-cb7b566fb232","resolution":{"observed_at":"2026-08-12T14:31:14.784187Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T14:31:14.765517Z","title":"Enforcing nonholonomic constraints in aerobat, a roosting flapping wing model,","venue":null,"work_id":"f1885b60-3d13-4d33-b318-51c5a7645111","year":2020},"citing_paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T14:31:14.289321Z"},"links":{"citing_paper":"/paper/2411.15130"},"observation_digest":"sha256:e9acd6fa57c11ce7baa60580313af3f3d87a80650f47fabba61ee59c0d40d522","observation_id":"31074f4a-f551-457a-9d1a-83d6a6e57a4d","resolution":{"observed_at":"2026-08-12T14:31:14.770088Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T14:31:14.752396Z","title":"Trajectory gen- eration and tracking control for flapping wing robot three-dimensional flight,","venue":null,"work_id":"48561f71-012e-4449-b752-facc77a4b0e0","year":2024},"citing_paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T14:31:14.293370Z"},"links":{"citing_paper":"/paper/2411.15130"},"observation_digest":"sha256:3f4734ae7e922de2e2d36373f2d6e721a1380ba5ead57eefc6810f64e878883a","observation_id":"52ba5798-d58b-4487-8d5e-c2183475542c","resolution":{"observed_at":"2026-08-12T14:31:14.756626Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T14:31:14.738933Z","title":"Vector field aided trajectory tracking by a 10-gram flapping-wing micro aerial vehicle,","venue":null,"work_id":"b286a376-cc85-476e-b5f0-94bebe0d6d6f","year":2023},"citing_paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T14:31:14.297577Z"},"links":{"citing_paper":"/paper/2411.15130"},"observation_digest":"sha256:0a71e9730c91b430ec6ff453c777269af4e9a174746d3d0f7199fc8042e43588","observation_id":"7a86f9f1-6b86-4f34-86c5-872cce1f7b45","resolution":{"observed_at":"2026-08-12T14:31:14.743631Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T14:31:14.725710Z","title":"Modeling and trajectory tracking control for flapping-wing micro aerial vehicles,","venue":null,"work_id":"2b53cbb4-b424-43ee-b382-862308132685","year":2020},"citing_paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T14:31:14.301705Z"},"links":{"citing_paper":"/paper/2411.15130"},"observation_digest":"sha256:995210b3823eddfa924a3baeebe7cb95f5ae44744464cd4234e746f628b031a5","observation_id":"e257b9f3-e07b-46c1-bb14-56324d88a724","resolution":{"observed_at":"2026-08-12T14:31:14.730023Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T14:31:14.711521Z","title":"Trajectory planning for a bat-like flapping wing robot,","venue":null,"work_id":"fa1b3baa-8706-4ab9-a0ad-82d88f36b1c0","year":2019},"citing_paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T14:31:14.305795Z"},"links":{"citing_paper":"/paper/2411.15130"},"observation_digest":"sha256:0685297959b16d82d39a04071480129019e327080d9f2dbe231810c90198c784","observation_id":"52d873d1-f694-49de-8123-d5b107373d3f","resolution":{"observed_at":"2026-08-12T14:31:14.716398Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T14:31:14.696948Z","title":"Predictive control of trajectory tracking for flapping-wing aircraft based on linear active disturbance rejection,","venue":null,"work_id":"311a5fe7-674a-43b8-a067-d0a7bd7364e2","year":2024},"citing_paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T14:31:14.310013Z"},"links":{"citing_paper":"/paper/2411.15130"},"observation_digest":"sha256:bdf8939bbaa9ad3c020998357c3180fe2949aa6f4ebeee2cfd0a4415bccc0249","observation_id":"c96d2ab3-8dbb-4af1-b57e-6d71009f7a62","resolution":{"observed_at":"2026-08-12T14:31:14.701203Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T14:31:14.683372Z","title":"Residual policy learning facilitates efficient model-free autonomous racing,","venue":null,"work_id":"39194082-f0ef-4a07-9bd7-6f6d4b5867c5","year":2022},"citing_paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T14:31:14.314081Z"},"links":{"citing_paper":"/paper/2411.15130"},"observation_digest":"sha256:012a076fe2468cd1251009fe7e72cd17261c32901c90b72232008784cce00900","observation_id":"e4f8596c-ef52-42b7-a650-511325abdd15","resolution":{"observed_at":"2026-08-12T14:31:14.687850Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T14:31:14.668571Z","title":"Reaching the limit in autonomous racing: Optimal control versus reinforcement learning,","venue":null,"work_id":"f0bfb3be-4955-4c92-827b-5421780be9ae","year":2023},"citing_paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T14:31:14.318237Z"},"links":{"citing_paper":"/paper/2411.15130"},"observation_digest":"sha256:de41c322a941bfd356ab3e2c61a93fbe4996c8c5fb3e664f8f1f60052e906225","observation_id":"fec4b2ef-00d3-4bc5-8502-22e08d526c01","resolution":{"observed_at":"2026-08-12T14:31:14.673773Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T14:31:14.655220Z","title":"Pipo: Pol- icy optimization with permutation-invariant constraint for distributed multi-robot navigation,","venue":null,"work_id":"2de98223-7c5b-4339-8968-b9c5ae5edf6c","year":2022},"citing_paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T14:31:14.322389Z"},"links":{"citing_paper":"/paper/2411.15130"},"observation_digest":"sha256:ef79d84166f85c9bcd1377f079f5edf89d34f067f2870bcad4254718af46f282","observation_id":"379022d1-ed73-4faf-a3f5-277a462a033e","resolution":{"observed_at":"2026-08-12T14:31:14.659688Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T14:31:14.640950Z","title":"Reinforcement learning for versatile, dynamic, and robust bipedal locomotion control,","venue":null,"work_id":"4b78e079-5670-45ff-bcff-3d162cf86a72","year":2023},"citing_paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T14:31:14.326421Z"},"links":{"citing_paper":"/paper/2411.15130"},"observation_digest":"sha256:8abe6735c2e7ba978e334f124aad47f8cb6a1955fe11b3fb3bcc3da78ed4ecfa","observation_id":"86d561a3-c0ca-491f-b2af-e8cecbaaf3d7","resolution":{"observed_at":"2026-08-12T14:31:14.645960Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.13193","last_updated":"2025-04-30T20:03:07Z","snapshot_observed_at":"2026-08-12T22:41:19.878738Z","submitted_at":"2024-09-20T03:55:11Z","title":"ProxFly: Robust Control for Close Proximity Quadcopter Flight via Residual Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.13193","snapshot_observed_at":"2026-08-12T14:31:14.330602Z","title":"Proxfly: Robust control for close proximity quadcopter flight via residual reinforcement learning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T14:31:14.330602Z"},"links":{"cited_paper":"/paper/2409.13193","citing_paper":"/paper/2411.15130"},"observation_digest":"sha256:efe932729a1dac56e51ea8aa1a1738a6848a78178767608bc08f0fbe34591f8c","observation_id":"c4dd105d-3c57-44d4-a721-c992f7620fa5","resolution":{"observed_at":"2026-08-12T14:31:14.330602Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T14:31:14.334995Z","title":"Iterative learning control for a flapping wing micro aerial vehicle under distributed disturbances,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T14:31:14.334995Z"},"links":{"citing_paper":"/paper/2411.15130"},"observation_digest":"sha256:5fa0f010da2050122ea962da7f6bc55a1a5ddaa5720417ffac06e7ba227e63c4","observation_id":"12f85c65-4004-47ad-958f-9382b6bd81d4","resolution":{"observed_at":"2026-08-12T14:31:14.334995Z","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":"2026-08-12T14:31:14.618005Z","title":"Lift enhancement of a butterfly-like flapping wing vehicle by reinforcement learning algorithm,","venue":null,"work_id":"e7972bd9-f5b4-4cda-a3bf-3ed41049b96d","year":2023},"citing_paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T14:31:14.339131Z"},"links":{"citing_paper":"/paper/2411.15130"},"observation_digest":"sha256:62f14726c6d809f13e2b10d4d87c5e398c4e0040ef6ce825bc8f4d3c56903081","observation_id":"ec222947-5a39-479d-90e1-882fe24d58cd","resolution":{"observed_at":"2026-08-12T14:31:14.622318Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T14:31:14.604297Z","title":"Experimental learning of a lift-maximizing central pattern generator for a flapping robotic wing,","venue":null,"work_id":"3427f7db-5c0d-417c-a50f-2dfc45b5f1f8","year":2019},"citing_paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T14:31:14.343206Z"},"links":{"citing_paper":"/paper/2411.15130"},"observation_digest":"sha256:dff10e95cb924f2cf4e30b4220d6ee91959288d6f223b33878b6a153e16fe6b2","observation_id":"01accb16-69a2-42f1-8ce1-3e5cc47e8a5e","resolution":{"observed_at":"2026-08-12T14:31:14.608789Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T14:31:14.590927Z","title":"Learning-based path tracking control of a flapping-wing micro air vehicle,","venue":null,"work_id":"0505083d-0b3e-4fc6-8784-916249087072","year":2018},"citing_paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T14:31:14.347198Z"},"links":{"citing_paper":"/paper/2411.15130"},"observation_digest":"sha256:86281407774ed9536e3248449f914fd60b6763edcc0bd6f16f9ab2ce92e01faa","observation_id":"761e333f-a856-42f7-93cb-9c80d2d92c24","resolution":{"observed_at":"2026-08-12T14:31:14.595394Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T14:31:14.577917Z","title":"Human memory/learning inspired control method for flapping-wing micro air vehicles,","venue":null,"work_id":"e55e0963-f37b-4dad-a9d0-69012351fff3","year":2010},"citing_paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T14:31:14.351079Z"},"links":{"citing_paper":"/paper/2411.15130"},"observation_digest":"sha256:009644ef6ffbf4254cf989cc306d9ef563d39d84db8b208427fe95cdcb60dedc","observation_id":"d8135c3a-8237-430b-a72d-89f965b98716","resolution":{"observed_at":"2026-08-12T14:31:14.582316Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T14:31:14.564626Z","title":"Learning extreme hummingbird maneuvers on flapping wing robots,","venue":null,"work_id":"04582c32-06c7-4d7e-8c63-f68d1aa780d1","year":2019},"citing_paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T14:31:14.354957Z"},"links":{"citing_paper":"/paper/2411.15130"},"observation_digest":"sha256:3f8f4a6c9762bad6ea888138e22ab2a3d753b5be73c82cf68cbd911d51e839dd","observation_id":"19d04c1b-91e7-4835-84cc-50f9aa9cc007","resolution":{"observed_at":"2026-08-12T14:31:14.569280Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T14:31:14.550524Z","title":"Bio-inspired rapid escape and tight body flip on an at-scale flapping wing hummingbird robot via reinforcement learning,","venue":null,"work_id":"2d52247e-68d6-4b1b-886c-5c74b6fbae8e","year":2021},"citing_paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T14:31:14.359560Z"},"links":{"citing_paper":"/paper/2411.15130"},"observation_digest":"sha256:1a61ab8d6244f0ac7a7af4d8f7acdf1bcf7a40ccbd32980ed6a9064944366fca","observation_id":"730b3864-60f1-4156-be0f-acf1644666bf","resolution":{"observed_at":"2026-08-12T14:31:14.555097Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T14:31:14.537344Z","title":"Whole-body simulation of realistic fruit fly locomotion with deep reinforcement learning,","venue":null,"work_id":"579dfeae-d6aa-4e01-a27f-d6d5abc26fb0","year":2024},"citing_paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T14:31:14.363517Z"},"links":{"citing_paper":"/paper/2411.15130"},"observation_digest":"sha256:031637b3eef074b867bc4ead73b1ed6f2c9674c49cbedb0d23fa09b4d40714bf","observation_id":"2a2df80f-f1ef-4ba2-87cd-945bd6cc471b","resolution":{"observed_at":"2026-08-12T14:31:14.541645Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T14:31:14.522020Z","title":"Control of a fly-mimicking flyer in complex flow using deep reinforcement learning,","venue":null,"work_id":"39103d55-1d84-4ed5-9d5c-57d850bb19bc","year":2021},"citing_paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T14:31:14.368300Z"},"links":{"citing_paper":"/paper/2411.15130"},"observation_digest":"sha256:e40c5430dfdc6742e820006fca6b4af06a81893637da894d46d8f720a4f65372","observation_id":"63368622-3db6-45c4-96e5-1c1934390f31","resolution":{"observed_at":"2026-08-12T14:31:14.527275Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T14:31:14.508121Z","title":"Mujoco: A physics engine for model-based control,","venue":null,"work_id":"b267ca42-d43f-4d36-8ae8-82ffc0d2bf3a","year":2012},"citing_paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-12T14:31:14.372227Z"},"links":{"citing_paper":"/paper/2411.15130"},"observation_digest":"sha256:b8b4b034b26e4397545cc0038fdff226263348cf469515cd8fd3eba6f183f2ff","observation_id":"6abad6f9-ac00-4e29-8eb9-91c94eda8c57","resolution":{"observed_at":"2026-08-12T14:31:14.512651Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T14:31:14.494279Z","title":"Hierarchical reinforcement learning for precise soccer shooting skills using a quadrupedal robot,","venue":null,"work_id":"7c7bc374-5cbf-4cb6-94e3-6ea01110f271","year":2022},"citing_paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-12T14:31:14.376319Z"},"links":{"citing_paper":"/paper/2411.15130"},"observation_digest":"sha256:8a276617e8bd9d4d28cf4bbc04cfd609bcc83c6656198a256fd467b6477e5301","observation_id":"a668197e-30a9-4fc7-a77b-80ee85a75672","resolution":{"observed_at":"2026-08-12T14:31:14.498781Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T14:31:14.480256Z","title":"Minimizing energy consumption leads to the emergence of gaits in legged robots,","venue":null,"work_id":"0dde045a-6744-4877-b924-95bdf62ed814","year":2021},"citing_paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-12T14:31:14.380450Z"},"links":{"citing_paper":"/paper/2411.15130"},"observation_digest":"sha256:5197ee587db95255d68294a85389613a8140fba21e2e5a7c198bde85efba95f9","observation_id":"ef00568d-5e04-4d98-bb41-541fbdd56f9b","resolution":{"observed_at":"2026-08-12T14:31:14.484650Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T14:31:14.384684Z","title":"Proximal policy optimization algorithms,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-12T14:31:14.384684Z"},"links":{"cited_paper":"/paper/1707.06347","citing_paper":"/paper/2411.15130"},"observation_digest":"sha256:9d5bdff42e0a8133f0c678c022b89c6365a62d5c576877e73f9ab39b0993c223","observation_id":"5bb94db4-1af9-4a99-8df4-657e78392e76","resolution":{"observed_at":"2026-08-12T14:31:14.384684Z","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":"2026-08-12T14:31:14.466664Z","title":"Bridging model- based safety and model-free reinforcement learning through system identification of low dimensional linear models,","venue":null,"work_id":"0f123f14-0fcd-4068-908d-c68b00456bdf","year":2022},"citing_paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-12T14:31:14.388925Z"},"links":{"citing_paper":"/paper/2411.15130"},"observation_digest":"sha256:f1e41fb0b33583b864c75b5294c9c576b1be04f2b874b1380d7b305394ca59ee","observation_id":"50e05c83-1fa9-472e-9ed9-a0ca9946b574","resolution":{"observed_at":"2026-08-12T14:31:14.471277Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.15130","last_updated":"2024-11-22T18:55:37Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-12T14:25:24.306856Z","submitted_at":"2024-11-22T18:55:37Z","title":"Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots"},"reference_resolution":{"displayed":42,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":1,"verified_fuzzy":38},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2411.15130."}