{"as_of":"2026-08-14T23:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2e6a21877b6dde2cbab4f205cb34aef83734d1bab7c4f55d698615113912f0bd","coverage":[{"denominator":47,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":47,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T10:08:28.936165Z","state":"measured"},{"denominator":48,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":48,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+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":"2026-07-31T11:36:41.158207Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2510.11600","snapshot_observed_at":"2026-07-31T11:36:41.158207Z","title":"arXiv preprint arXiv:2510.11600 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.24569","last_updated":"2026-07-27T15:36:18Z","snapshot_observed_at":"2026-08-12T02:16:57.744522Z","submitted_at":"2026-07-27T15:36:18Z","title":"The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-07-31T11:36:41.158207Z"},"links":{"cited_paper":"/paper/2510.11600","citing_paper":"/paper/2607.24569"},"observation_digest":"sha256:c91e339a798ae702f361d2db311618b3078982f05bed7e554f4b5c919d0d36d9","observation_id":"a5d4e946-a9f5-4c94-83d9-ed6fe4c3dcc3","resolution":{"observed_at":"2026-07-31T11:36:41.158207Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2510.11600/citation-record","integrity":"/paper/2510.11600/integrity","json":"/paper/2510.11600/citation-record.json","paper":"/paper/2510.11600"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:08:24.364830Z","title":"Greenblatt, I","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:24.364830Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:18460ba9f9b859f5969b8727b8bd50895b6bc5e1e9a18d166fd7d33c4cc78534","observation_id":"2402e2b3-23c7-49fa-8419-9b7afdda01fb","resolution":{"observed_at":"2026-08-04T10:08:24.364830Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:08:24.618306Z","title":"Glezer, M","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:24.618306Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:6a137a19bcf9b5be39108cc6e3cb4a91efafd74406aab15402ff6ec2c8675873","observation_id":"5b0ea0e3-cbda-4daf-baab-c7e28f3e491f","resolution":{"observed_at":"2026-08-04T10:08:24.618306Z","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":"10.1146/annurev-fluid-122109-","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:14:19.769680Z","title":null,"venue":null,"work_id":"bab3b860-c464-446a-8d42-09ba53e46685","year":2011},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:24.774837Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:7af6bda57245ecf4136d60811e1b55fd42808d5694da98db8aba8490357f07c2","observation_id":"72d42671-6958-446e-a287-982ca4ad0722","resolution":{"observed_at":"2026-08-04T10:14:19.885659Z","resolver_source":"doi_truncated","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s00348-012-1306-4","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Littlewood, M","venue":"Experiments in Fluids","work_id":"bf57fc3f-6b47-4af8-8207-f738edef63e0","year":2012},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:24.884753Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:41b05493a7a512f995432e307796ee6ed44edc36d81387af3f0e87305d959b96","observation_id":"841f4590-728f-4c06-8c2b-d6e4805878e4","resolution":{"observed_at":"2026-08-04T10:14:19.644936Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.jweia.2015.03.006","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"McNally, E","venue":"Journal of Wind Engineering and Industrial Aerodynamics","work_id":"ef085538-497d-4b96-af02-795b74823844","year":2015},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:25.014834Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:00d7c8a92f182f8739b8920ca49b7c985f72839587362bd9080d8885d78c2f88","observation_id":"4c88fad7-7344-40e0-aee4-7c9d014b3e46","resolution":{"observed_at":"2026-08-04T10:14:19.391832Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/fluids5020055","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Fluids","work_id":"40102e65-b4b4-4f7a-886b-a389c65e143b","year":2020},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:25.144753Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:dde744106ee3eac69b61a7c73f42690b89e5f3c552d7d3b4bde3b2c3246a1c65","observation_id":"43a02aaa-c95d-462e-b755-9f2535f1e536","resolution":{"observed_at":"2026-08-04T10:14:19.176221Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1063/5.0108387","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Amico, G","venue":"Physics of Fluids","work_id":"763c349b-dbbe-4b27-b972-905448886c77","year":2022},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:25.236858Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:026acde34495d70e92178ccef838eb0525b51b770846e4ee32c223a4ecd263ad","observation_id":"ea11f06d-ead7-4475-8713-4de4f54b5076","resolution":{"observed_at":"2026-08-04T10:14:18.893698Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1063/5.0217692","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Amico, J","venue":"Physics of Fluids","work_id":"5dab24b9-203d-457f-9d68-31438bf6d59f","year":2024},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:25.294747Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:4548cecf328b99ebdcbf27be967c878ac87e819a86aee441ee1f26874707bcb0","observation_id":"4fbe77d5-e202-4b71-8568-3af3157dbf6d","resolution":{"observed_at":"2026-08-04T10:14:18.663478Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:08:25.344756Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:25.344756Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:588f4d43665dabbeef9552ccd9d8ada4f6d8d1b4cfec7baa77dcfe91bdba150e","observation_id":"b040926c-c799-4342-9b95-58fc8aa73d0e","resolution":{"observed_at":"2026-08-04T10:08:25.344756Z","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":"2026-08-04T10:08:25.414833Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:25.414833Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:afcbeb34ed48c46e4182c4636a61df7a7a0fb59f3dd9a25b8fd96c79b80f836a","observation_id":"4b6f2ddc-2136-4d56-9cf2-55523fe849b6","resolution":{"observed_at":"2026-08-04T10:08:25.414833Z","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":"2026-08-04T10:08:25.534850Z","title":"Regazzoni, S","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:25.534850Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:b4630c5125d7cbffbfb2ef610877db4cfbf365d5968471095ea2c23f3a80462d","observation_id":"94b1f2ca-931f-4484-8503-e895280f10c4","resolution":{"observed_at":"2026-08-04T10:08:25.534850Z","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":"2026-08-04T10:08:25.654786Z","title":null,"venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:25.654786Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:5f17ed4ab38a53fd3e53059ccdaaf6d26b878c537a8a4ed0dbf0fe29a43c56fa","observation_id":"2a86dcb3-a99d-45e4-9dc4-533b26ccdebc","resolution":{"observed_at":"2026-08-04T10:08:25.654786Z","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":"10.1007/s12555-011-0300-6","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"International Journal of Control Automation and Systems","work_id":"b11364b6-fcd5-4326-9473-962ac01bf4bb","year":2011},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:25.774767Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:b604335e0f7dc97024ded707aed782300529834acb0ed5833e50e2d6a8cdc057","observation_id":"8b0354ea-6922-4905-b0f3-88c411f61afe","resolution":{"observed_at":"2026-08-04T10:14:18.415137Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:08:25.916892Z","title":null,"venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:25.916892Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:2b39d371110f8e45f129c201ac5f6172f329385c6866df8a229883e1fd5103d2","observation_id":"67257209-f459-497e-8327-2493e8d4463c","resolution":{"observed_at":"2026-08-04T10:08:25.916892Z","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":"2026-08-04T10:08:26.010883Z","title":"Morton, A","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:26.010883Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:762357811b253741bf036474bd1a03202295932ab76718c6ab486cff6a3fe6e9","observation_id":"5603d9c6-6387-42e6-88d6-40bb5748c1d7","resolution":{"observed_at":"2026-08-04T10:08:26.010883Z","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":"2026-08-04T10:08:26.073300Z","title":"Bieker, S","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:26.073300Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:9312db2ed01e0bcff41e8759e0785e1002cddc9153ef5d720ea605afe6851294","observation_id":"13c36e68-4d23-4c9e-812e-28d931e05959","resolution":{"observed_at":"2026-08-04T10:08:26.073300Z","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":"10.1017/jfm.2024.47","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Marra, A","venue":"Journal of Fluid Mechanics","work_id":"0fa68b9c-288b-4da3-8d57-de5e6f7cca43","year":2024},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:26.176710Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:dab9a3382f221942d7818e1edcb6faf0015516192c9aaf4a325059ca3200fd82","observation_id":"b3849c4e-a91b-4418-b1f7-3f6ceb1b4e55","resolution":{"observed_at":"2026-08-04T10:14:18.216860Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:08:26.326348Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:26.326348Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:01ffbb151a8c3d900062f8dc97e99c8599a6e1df57d714b9b42ad774dcf444c1","observation_id":"267e386b-9722-4e19-859d-3fc7f602b76c","resolution":{"observed_at":"2026-08-04T10:08:26.326348Z","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":"2026-08-04T10:08:26.405545Z","title":"Kaiser, J","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:26.405545Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:3358ac1b7a46c41574850cc7f961a79bcbd755bb6546826767b14df637fccd3c","observation_id":"c8fc116b-83f8-4889-913d-ba64014e8861","resolution":{"observed_at":"2026-08-04T10:08:26.405545Z","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":"2026-08-04T10:08:26.483535Z","title":"Sobal, W","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:26.483535Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:db93261955b6825f71996a41cd542352ad0c567b8f945f310b1484d7f9f0ed87","observation_id":"070f87d0-f022-424f-8f74-2484f81cc40d","resolution":{"observed_at":"2026-08-04T10:08:26.483535Z","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":"2026-08-04T10:08:26.594663Z","title":"Solera-Rico, C","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:26.594663Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:018cabdc358550ed9d17bfdddcda4f3263cb804ae5adf329decc4a5f0573d316","observation_id":"239e0777-4ce9-4771-aa7e-80c66768bb79","resolution":{"observed_at":"2026-08-04T10:08:26.594663Z","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":"10.2514/1.j064790","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"AIAA Journal","work_id":"c1bf15b3-35b8-4297-ab98-215aa47247fd","year":2025},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:26.660450Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:7ef3a4f2bcdb98e6db608c5e5f320245b599ef45af4de1c73f20441a768fae3f","observation_id":"3e17582c-6f39-42da-871d-d58b69da40bc","resolution":{"observed_at":"2026-08-04T10:14:17.912290Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:08:26.709003Z","title":"Fukagata, K","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:26.709003Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:75c89fe7c32f6330fc4b1edfac79148a64c518dfc3a35d2b7e261e6cdba41953","observation_id":"e455f6cb-4141-476d-a2c9-019f0abd9071","resolution":{"observed_at":"2026-08-04T10:08:26.709003Z","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":"2026-08-04T10:08:26.808920Z","title":"Fukami, K","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:26.808920Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:70cfefe59cf71a298569e476cc2ab9c5128de1572f03056d3f4ea485580af3f6","observation_id":"f9a70b06-4925-4392-b2f5-1a640c7141c2","resolution":{"observed_at":"2026-08-04T10:08:26.808920Z","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":"2026-08-04T10:08:26.903804Z","title":"Fukami, K","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:26.903804Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:d9ce19de532a34e53de439f087806465ee8048ebe600bcee898800599a0ed595","observation_id":"ba24e248-00ba-4707-8b49-b6e33418a0c4","resolution":{"observed_at":"2026-08-04T10:08:26.903804Z","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":"2026-08-04T10:08:26.984471Z","title":"Rabault, M","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:26.984471Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:7d00a9574768d624a226bd4cf0914dc2897839410139bff74cb64dceafe2a7aa","observation_id":"3bca0cf5-2627-4763-ac6e-0e6dddec2e07","resolution":{"observed_at":"2026-08-04T10:08:26.984471Z","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":"10.1063/5.0087208","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Castellanos, G","venue":"Physics of Fluids","work_id":"23f108e3-11ee-4a06-89f4-521fe752402d","year":2022},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:27.071057Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:ea8d19eaafae2ccc273d7337b7b762f7835b0c1d958eda5c2ec8cfa9ab974ae5","observation_id":"155a386d-d09b-4c4e-bcab-408a8934c28d","resolution":{"observed_at":"2026-08-04T10:14:17.577127Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1103/physrevfluids.9.063904","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Physical Review Fluids","work_id":"06a0a236-8126-4a0c-9833-d2757016e6d4","year":2024},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:27.185533Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:eb19a40bd030c6dd584174e050599a1141e0d86723026a7d976ae2a7cf534b58","observation_id":"0af43b08-0f9f-4150-a6bb-4767fd9f9221","resolution":{"observed_at":"2026-08-04T10:14:17.236553Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:08:27.323731Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:27.323731Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:ee1566310c14aa816f626be41fd2a3c8013165083586791c5e016e4b589d357b","observation_id":"eba8990a-4e9c-4a8b-9895-53f30778fb7d","resolution":{"observed_at":"2026-08-04T10:08:27.323731Z","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":"2026-08-04T10:08:27.453044Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:27.453044Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:adae2a43a49f162ac4744db4c6924b8551075de4d2746d1e7aca3e8bf6ed5378","observation_id":"daacaac8-a326-4268-ba61-d4b5bd0aab7c","resolution":{"observed_at":"2026-08-04T10:08:27.453044Z","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":"2026-08-04T10:08:27.548513Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:27.548513Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:bd7199dfbbbf15bf3c3ef841fee1170bd3d790cdb720e0866e8bf3b9b16c2230","observation_id":"cc9cc37f-b99a-49c8-b8af-dfa5b6ffc4cc","resolution":{"observed_at":"2026-08-04T10:08:27.548513Z","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":"2026-08-04T10:08:27.628403Z","title":null,"venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:27.628403Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:a9c078345386ed2d057f5e980dcf4882012f1ad4d821ed00f629835e1c996758","observation_id":"dcaa7e66-2e5e-4a5a-9f25-7c366465d50d","resolution":{"observed_at":"2026-08-04T10:08:27.628403Z","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":"2026-08-04T10:08:27.710344Z","title":"Shams, A","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:27.710344Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:5cad946657eb7b022a116ec688aa5c99d70b461bb0c9198a2b5b0daabc050dd4","observation_id":"354d6747-47fd-45de-8adb-15c241ac5995","resolution":{"observed_at":"2026-08-04T10:08:27.710344Z","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":"2026-08-04T10:08:27.771637Z","title":"Chourdakis, K","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:27.771637Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:68c7bc9d7b5a280bce387d2c0ba7af510cd09fc3b302b1defe9fd3beadaa56a0","observation_id":"d1626cbc-bd91-484d-9c55-39b222086f5f","resolution":{"observed_at":"2026-08-04T10:08:27.771637Z","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":"2026-08-04T10:08:27.839953Z","title":"Chourdakis, D","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:27.839953Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:4c4b23d41f7400aa179e3d8ee9f5ba9b3835fe0ce2f145bb4f40352e50a98d8b","observation_id":"5fd96b91-6527-4a00-a426-b7fac4bf8c26","resolution":{"observed_at":"2026-08-04T10:08:27.839953Z","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":"10.1017/jfm.2016.508","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Barros, J","venue":"Journal of Fluid Mechanics","work_id":"9d88eb1e-3405-437b-82e5-63ccefb2c567","year":2016},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:27.920961Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:c9f4ce31ce368d49527e44c431a23795382c5061d86737969e05048c1c20cfbe","observation_id":"313fbbf9-6bb6-4dcf-b7e6-1e3b53f5a86c","resolution":{"observed_at":"2026-08-04T10:14:16.988135Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T10:08:27.985303Z","title":"Hochreiter, J","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:27.985303Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:7d9d50d4e40d6887a2f5fa824af68296c07b7c08b481a2e19e02be6d2c2b2a8d","observation_id":"d6a6a0ef-9268-491d-a940-b7d46c263f5f","resolution":{"observed_at":"2026-08-04T10:08:27.985303Z","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":"2026-08-04T10:08:28.065686Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:28.065686Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:4a5bbf6ad5c5919a23d5ad690caaa263fa282d56c34fcfec880af54d88c1c3d6","observation_id":"b1215386-41e1-4a40-a3ba-cc67f1271fa4","resolution":{"observed_at":"2026-08-04T10:08:28.065686Z","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":"2026-08-04T10:08:28.190658Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:28.190658Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:16ef8b978506266cb894b8f6b96e6714d2fd1228164ef8f5d3a9f48878b5ab70","observation_id":"d63f86b7-bbb1-4a43-960d-a147c21e20f3","resolution":{"observed_at":"2026-08-04T10:08:28.190658Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2105.04906","last_updated":"2022-01-28T12:23:37Z","snapshot_observed_at":"2026-08-12T14:02:29.797842Z","submitted_at":"2021-05-11T09:53:21Z","title":"VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.04906","snapshot_observed_at":"2026-08-04T10:08:28.299687Z","title":"Bardes, J","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:28.299687Z"},"links":{"cited_paper":"/paper/2105.04906","citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:1a5d07b046ad763f3c4f474a05ff8762b4ef75dfb95f1f39b90a28959515c9f7","observation_id":"b67fe416-5a78-42e7-9b7b-513d7110b430","resolution":{"observed_at":"2026-08-04T10:08:28.299687Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-08-14T18:51:16.666127Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-04T10:08:28.375981Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:28.375981Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:848527e76b3a9f1b9c6ed77c48676a29fb184ad85aee348c019ad9db87eece0e","observation_id":"e5ce2074-19bb-49a3-844f-f68fbb705fa7","resolution":{"observed_at":"2026-08-04T10:08:28.375981Z","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":"2026-08-04T10:08:28.463918Z","title":null,"venue":null,"work_id":null,"year":1953},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:28.463918Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:c93f3c183c5dd0032742a1159fc2145922c859d70c935d356693a22d7d7d11c9","observation_id":"62caee0b-1e55-4ed1-8d20-b36877d2a83f","resolution":{"observed_at":"2026-08-04T10:08:28.463918Z","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":"2026-08-04T10:08:28.572256Z","title":"Sundararajan, A","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:28.572256Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:3f5a5d02c97eb44288b5b4a61736137b2828a996f4581f3c746a4e081c8713f0","observation_id":"df992e68-2715-458a-a5aa-6532bd0f6817","resolution":{"observed_at":"2026-08-04T10:08:28.572256Z","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":"2026-08-04T10:08:28.648838Z","title":"Paris, S","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:28.648838Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:76c0ed1018c4a24077d2d3b14b20ddeaa867cefde68b2772f13aa4080b67d0ef","observation_id":"c7c4ef0d-a081-486a-9a87-793b99af3354","resolution":{"observed_at":"2026-08-04T10:08:28.648838Z","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":"2026-08-04T10:08:28.772114Z","title":"Paszke, S","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:28.772114Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:c69ab1022342dfd6f13257ed6d53e3a5ad604a13fd57a33df477b176ad97bb89","observation_id":"575f7842-80c5-41c8-96c6-7abf23811b77","resolution":{"observed_at":"2026-08-04T10:08:28.772114Z","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":"10.1017/s0022112008002073","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Pastoor, L","venue":"Journal of Fluid Mechanics","work_id":"1ef325e1-a912-49e0-bbbc-4203b395ef94","year":2008},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:28.870681Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:1d328e2edb45b58cdec8d5c3ebf269548499cd7e75683630f25b05962909b0ac","observation_id":"b14b41a8-d6af-4f34-9d16-d1c2bbf229e7","resolution":{"observed_at":"2026-08-04T10:14:16.691504Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s00162-017-0420-6","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Dalla Longa, A","venue":"Theoretical and Computational Fluid Dynamics","work_id":"26dcdfd4-34e1-45ea-b836-7c3ebbaa4363","year":2017},"citing_paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake","version":3},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-04T10:08:28.936165Z"},"links":{"citing_paper":"/paper/2510.11600"},"observation_digest":"sha256:039694dc7b6faf128662845dfd078b1f0589138de806fcd479bebaabbb7a8222","observation_id":"ed0b4def-50b4-4e59-9fcd-76e5347cb155","resolution":{"observed_at":"2026-08-04T10:14:16.477413Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2510.11600","last_updated":"2026-07-17T12:56:11Z","latest_version":3,"primary_category":"physics.flu-dyn","snapshot_observed_at":"2026-08-13T17:27:16.004739Z","submitted_at":"2025-10-13T16:40:44Z","title":"A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake"},"reference_resolution":{"displayed":47,"state_counts":{"malformed_identifier":2,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":32,"verified_exact":13,"verified_fuzzy":0},"total_outbound_references":47},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 1 inbound Pith citation observation for arXiv:2510.11600."}