{"as_of":"2026-08-14T01:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:92be8c41a878fb5e8f3ac6a0b4a5bda61265db4cd077c39118759506e78e9fa3","coverage":[{"denominator":57,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":57,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-29T15:57:04.026718Z","state":"measured"},{"denominator":57,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":57,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2605.26806/citation-record","integrity":"/paper/2605.26806/integrity","json":"/paper/2605.26806/citation-record.json","paper":"/paper/2605.26806"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T15:57:04.026718Z","title":"magnus effect","venue":null,"work_id":null,"year":1926},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:3b9a4e4991a631bfeeee12ab78419056b69c3310fc94c795e09dc46d978d42a8","observation_id":"8ad5c953-6fce-4053-86ea-af89a2e228dd","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":"Modi, Moving surface boundary-layer control: a review, Journal of fluids and structures 11 (6) (1997) 627–663","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:ee29bd6e6b07177814970d7002f81820202737bcb37e71bde028957611fd4d7f","observation_id":"88477120-1da5-47b5-b3e1-0ec0352f0a04","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":"Mittal, B","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:b889f4cdc91162be760ef48ea441a838d1b4844e705569b22cf21ca06e3c6119","observation_id":"49097c34-fa95-48c3-9a69-02da16b5545c","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":null,"venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:a18bb1324f0e7916d919c067904899e2950019818efcdbac8dd2d1544f8f91c0","observation_id":"60fdfbc1-6168-4f40-a89a-ae5cd7256c6f","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":null,"venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:198350a8cf2a210fb5206e884d7a1684712fcad735fb5da06e8bf8d3e1a4dcf7","observation_id":"a1801eae-014c-458b-9347-0ebe357cadc5","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":"Stojković, M","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:a63d05b23304f0cba841c5ad7d0d1af028738f95676a20fa810b1c8c0ba36cf0","observation_id":"b0344f85-3027-412e-802c-3ec80921a678","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":null,"venue":null,"work_id":null,"year":1957},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:10cf139f02375d53e48587aab7a13916355f587c5c0ed9fba840b8c18baaf429","observation_id":"1cf626ca-c9c6-4ea9-b001-6d978646e5be","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":"Nishioka, H","venue":null,"work_id":null,"year":1978},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:bfe355bde0fd0edcc6686372ab006456038c078c0c7e4443ed2717747ef7c2db","observation_id":"fbf26f0b-478d-444f-a79c-2cd0b7cbc435","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":null,"venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:166dfc79122b0a04d42773906e20bd4295647fdaecdd272c059da0adc6733caa","observation_id":"bc2dc9c3-aaf6-40d9-a677-9b48fdd0bae9","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":"Sengupta, P","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:beb560a16569184ae50459965433fe6d916c09908f4af398a8869f2a963abdb1","observation_id":"3647232b-a06d-4109-9aa9-fa9cd7ca2fad","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":"Sengupta, N","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:be004b08255639245487926e0201cc9c02860751acb719ebf5baf022b4527430","observation_id":"14f68f39-cd55-44c7-babb-bf1ed1b43bb5","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":"Sengupta, N","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:ce95480be8587dc390f483e49060712658be77022c60cdae3fe628aeb19f1ac1","observation_id":"0215db54-9930-4b48-8068-35319ba5d6b6","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":"Salimipour, M","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:7810a49fa05d6160454c64c679d32051d0433fe1cc6371e13dfdb0c782dad21e","observation_id":"481fb052-ca65-4e89-83bf-284670daae3a","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":"Sundaram, T","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:09c0ee88c401ddfe64ab4e0654a85d558a19e9a97bfd23935983128aee4c0217","observation_id":"3cd2c6b6-967b-40ae-a2d9-fbbc6b6880ba","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":"Sengupta, P","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:8def17907b144c273be00b2dbe764cb38ea4f8452ff8b61370e2d1259bf31af5","observation_id":"7378b382-3dd9-4c83-ab45-6f67f622f45a","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":"Kumar, C","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:ed5845169f3feec7af1dc182d8b0f4459d24fdd7c74fd40cfa65bc8fe642d1f9","observation_id":"2d4ebc60-c6f7-442f-9ada-fd625b2000e5","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:0095f4b3274ce6e2aa200497445d527aa6a55c8941b0ee0ff086ddc8e91b69a5","observation_id":"f9ba2bcd-d91a-4e32-815b-1dbced1f9028","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:eccd6a2791a6c5a822f85a8915c6330ebcf0a3aa2788868a2ab72f64794d897e","observation_id":"332ca3c7-171c-415c-b282-2750c807145d","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":"Sengupta, S","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:754f81ad4bbedff7ea98952dfd071972555f25611cd9951648701b3c6b9f4bec","observation_id":"5fcd7283-7d80-43d0-8a20-dc4c8e5ab9e1","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":"Fukami, K","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:c3725ed28c20aa270008ee9a6ab81eab8d90ab3fe702bdd58f41c386d557bbb8","observation_id":"237b7117-9d30-4b2d-bdcf-82312d8f9019","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":"Hasegawa, K","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:fd18af06eadd1101770b7100ecf98c189796dc4554b3a5fd0573cc123da8116b","observation_id":"adfac859-eb40-478f-a762-23568b0c228a","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:41611a3e7ea90fd8448a699bf04b706cd4c334c7d861b89cfccb4c558fa00730","observation_id":"c254f83f-ddf5-440f-a537-3a078e51b34a","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:8832c108f74e3ed06f601bf888308392b923cb2e2263d50b5be0adc30af66b8c","observation_id":"8b3f2c21-a526-4584-92b1-eeec29e2f0ba","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:5093c8b70c65ded212a818090fffd0f0df016baad447c7abb8ab27b63d90e558","observation_id":"1b3aa951-df8b-45df-959c-f5c40737681c","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":"Bairagi, M","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:21a77e725aba568c480f036c8d32f064ca49fe64f262f96f822c9b198ee158da","observation_id":"9a5029e6-13a2-4581-9712-cff556cd3381","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:4a7fa63063ba91b38002c1bb31ec058780ed40b437ba6f297bb4333eade12f49","observation_id":"b71ad699-6b26-4d0f-bb77-69386e8ac4e5","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":"Sengupta, A","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:ac2853e08833184e1cc7737188286d170acb98f399c77b373e58c88fa2c1f956","observation_id":"20e2d7f9-2b37-4a52-9f5a-2dec45b6e847","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":"Asghar, R","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:9d4cd0cd559a820f7cf497658b1d3e3c40723c765bd886e40e2898af3af1edcf","observation_id":"98680cdd-482e-445f-abec-09d1a6cfed94","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":null,"venue":null,"work_id":null,"year":1986},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:96099791c2b4311ea5900c6979dc7149eb594780c29fcb7b021ba9da4c0b263b","observation_id":"49d30ab8-0b5e-4db4-9df6-d21ccd5cf551","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":null,"venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:62dd9b01dfdb253e97a0864d2f52631b802a791048dc00f74f5ed71097159526","observation_id":"0245da14-459b-4a3d-996b-faa7bd358d1f","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":"Sagaut, V","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:7e8483bbe1d783f92fecfacd2c28b63ce097051fe47c32adabc5c7a6471b5796","observation_id":"16a188ee-8f94-4b47-828c-7ec58be770ea","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":"Jameson, Origins and further development of the jameson–schmidt– turkel scheme, AIAA J","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:80df8128548d825d6340d3c0812e4bb83fe7f96d7689fb805d82b4687c1a63e0","observation_id":"7dd0a6ca-2288-44f5-bd0c-061b2c99c9a5","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":null,"venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:2943ace7b3da43db0073ad439891bdaa14d0b24da1c5a76b892c7ac5bd64324f","observation_id":"ca9fe0e2-1fc2-4b77-bb8b-ac9bda2ad84e","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":"Sundaram, A","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:809273360bc768c4ca7a4d71b0b376cd3b786e8bab4264be3f90bb1569f5ce05","observation_id":"94828eff-0a62-47f0-b6a8-c1f451ed12ce","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":"Joshi, T","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:a9bac00dbe0db71898219c4b769cab030ed1767ed0d1d4f04eaa5b7bddf9935b","observation_id":"b35bd12b-8c76-4729-9ba4-4cca7c3e836c","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":"Joshi, A","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:8b54a8012e60e286df2e5fb9d326a19740938338171423780175acb932caf7f6","observation_id":"a57253d1-31fe-4b19-a697-4e1aca06e8d0","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":null,"venue":null,"work_id":null,"year":1993},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:ae8d0580fae064b8ef3e722373d5b6186f93658eaa7fb63e08aa66df0c9fb8d1","observation_id":"f9c38cee-9f3b-4c6d-9aac-4cd3c7960357","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:91398d6470d35cd35ea8d8b6060352d102f9d7790d96fff485d8d06b245d2153","observation_id":"f6d019ee-5761-41e6-bb80-4e41be99719f","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":"Munir, M","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:3094e715cce8bdd2c17d81ac998e5b5b6c8d3336a0dcb2e75680116339d5db7a","observation_id":"726e84c4-ae9f-44a8-a937-bad9d6066bf0","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":null,"venue":null,"work_id":null,"year":1995},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:d26c2f392040ad64fb3edb3b9e9f140dd0978d57148a6348bfe356939bba2160","observation_id":"874c0026-e45f-47b1-aff7-f553b72fe0fc","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":"Sengupta, P","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:43f857757ab43668feaf102e20d15326f0c6fa6eca6c1ff78d67ffa5a5f45d41","observation_id":"7338a3db-b8ca-4838-b68a-b42ff9602ce4","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":"Richter, G","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:d001187a48d5ba36174ba43604e399b70df0c3d51223bf45b56468ec207b84af","observation_id":"2f7d21b2-f014-4bf1-96f5-8cf3ac72f430","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:a167d037a8cf2af0f6f440eaf88288e177ea334c9486bda1042e3016b25972a5","observation_id":"53b59a4a-7bbd-4853-acc2-b4f6d2ed6a89","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":null,"venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:82ac0788b2afe4e70e04eb977694e69871a22429228161eb116b79e653b1e0c0","observation_id":"3f81d4a3-a8dd-42e2-8632-1ba8d775f66a","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":"Barkley, R","venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:976bbb9a5a7b7337ab152a0bb322199f5a212342f6d70cd1fbd80a57b91d6681","observation_id":"15782b20-e274-4f51-bce9-f8caae741d9c","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":null,"venue":null,"work_id":null,"year":1994},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:5c757a244563075b68ef6ecbbdb41d596fad0ee30a0faf4135c0d81a4b0ec9e3","observation_id":"5f491e69-260d-4bd8-8aa8-5f8031b86a46","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":"Zhou, Hydrodynamic Instabilities and Turbulence: Rayleigh–Taylor, Richtmyer–Meshkov, and Kelvin–Helmholtz Mixing, Cambridge Univer- sity Press, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:912fb0b93bae791b793de3948e7f6fde99d329b5102a0c4c6d392e64e8ca6573","observation_id":"24a02830-0443-4a2b-bab1-a339563d16ee","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:95fda7d8f880a980d9145d20bfb44a389efe37a8a661da98c00479df802b84ed","observation_id":"2972127b-a8e2-4e37-abb5-ab7aa93c2e4a","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":"Theofilis, Advances in global linear instability analysis of nonparallel and three-dimensional flows, Prog","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:91474400a3003b18264cadab838df8d0d4b96e541a9d74dba4189ddeeb32d4b0","observation_id":"0c236ac4-c962-4804-89f6-ad2a55d62442","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":"Hastie, R","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:86a5f5c8625f4949e5a890f18b345fa79c10059392f1eddfcec0dd09ff71d225","observation_id":"61ab5b3f-500a-4921-8603-31951bd8bbe2","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":null,"venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:df126cd696a742f589ae601009805bb2947e91c4d99ed046a4d79f4946e65a16","observation_id":"f95c4ac4-69fb-4e61-8ba5-b49b24cebbfd","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:4524086a82c6f0b39399024bdff0df9f619cc73315e8e941548d6d220c4c2e04","observation_id":"fb7914bc-3191-4189-841b-b61501d75d23","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":null,"venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:3ee2ae5b492078026ddb929cac3088bc94b837b581e8233c019791945272913e","observation_id":"0081a5f0-56d0-4df1-956a-8d4cf9caeb77","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":null,"venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:e948d4c359e63a00dba310cdd6f291157ae9ff5b027bbf6b42d10a4b2b3fb672","observation_id":"811535bf-6875-4b4e-9ef3-b7dd549af75a","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":null,"venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:b9cc7c367410be51c1f8592eac903d1a0001e5d13d188ffd8413f38eed08558a","observation_id":"585d2083-caae-4214-ae21-011173b9d048","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:801006b033364489b98880da89373a5ae986f81d20d26783cc78e8cdb5643d6d","observation_id":"f71baf97-d1e7-4100-aa20-936401a125ae","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","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":"2026-06-29T15:57:04.026718Z","title":"Joshi, A","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-06-29T15:57:04.026718Z"},"links":{"citing_paper":"/paper/2605.26806"},"observation_digest":"sha256:48a5396bba18c9c2f0de8eed0a101e763d73e09d455df8e794b0cb3fe8b5f541","observation_id":"b38ffb30-30f5-4e36-a5c4-b53caa5a3131","resolution":{"observed_at":"2026-06-29T15:57:04.026718Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2605.26806","last_updated":"2026-05-26T10:21:01Z","latest_version":1,"primary_category":"physics.flu-dyn","snapshot_observed_at":"2026-07-06T23:36:34.652096Z","submitted_at":"2026-05-26T10:21:01Z","title":"Supervised machine learning of compressible flow past a rotating cylinder"},"reference_resolution":{"displayed":57,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":57,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":57},"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 14 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2605.26806."}