{"as_of":"2026-08-23T00:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5aaf4527355c06f6b4f76cbe4fd7340a8c5a9b654b9ab57fb518fc20e956edd6","coverage":[{"denominator":64,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":64,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-30T01:42:35.562484Z","state":"measured"},{"denominator":64,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":64,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+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/2606.29628/citation-record","integrity":"/paper/2606.29628/integrity","json":"/paper/2606.29628/citation-record.json","paper":"/paper/2606.29628"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-30T01:42:35.562484Z","title":"Ahmimache, M","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:c66a602d36499b5dd603c67576ce976eccf870c3e3496dea9351b672b02630a0","observation_id":"9dd11ce8-97d6-4c47-860e-ba7405b4a199","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":null,"venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:db11c2d776db73aafbc7f2833de5b2c05af8ef325185cf9c76b182bf53e1bf9e","observation_id":"07971eb6-29ce-473a-93bb-b3d91a35ddb2","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":"McMahon, R","venue":null,"work_id":null,"year":1950},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:2c5443cd0e56f82b0c5b1d3f7bd6068088e716f32d807c062199b1759180f3af","observation_id":"60b661bc-25ea-4656-b10b-4dd14d98992e","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":"Shevyakova, V","venue":null,"work_id":null,"year":1983},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:8f2e1065affa3518ccb63fb0c3036f85814b673f7086e3ddf430cfb2cb096ad3","observation_id":"3ebbf7d4-22d4-4978-99c9-b887a80a18bb","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":null,"venue":null,"work_id":null,"year":1994},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:93d0d66cc803a1e574a15db3384b591f577d9b53aa7710cee32c8964c1818932","observation_id":"b9274eda-ec62-48fa-afd9-99031e67231a","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":"White, G","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:5ff764f11eb1a9260c181fb8c1c60d0777009fe50abccce67bc4a8bc53060e9f","observation_id":"fae35f5f-4dec-4ef8-9647-2a58dadc5113","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":"Tomić, P","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:0f49453aecb47cb5a0388baec3a672ca6664c19e26fa62cc91fc967be1d0adf2","observation_id":"574d8d91-9d78-490d-a0f5-7d736bb31836","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:c36a8ba7e05184e1dcbb9b76c77839f9ab0913bc4212cf4a36fb1d7f679a19c6","observation_id":"2a5f5434-d7c1-4b86-9bf5-7341cfb744e9","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:2da938eed41e496ab665c358f54fdfaabf812c1213ef03ed167c29d34061865c","observation_id":"187c9b30-9078-4ad0-a9c0-6e5309542d41","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:3e4bc9e0aad71b1316efc7354509f5125426bc0876e9097155a8eb909f38b0e0","observation_id":"aa9558c1-deed-4108-a177-68f840b51816","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":"Husin, M","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:32ec768f65808155f26d17e9db75843243eadd996eafc764040abe3cf692d769","observation_id":"3acdbb93-dc14-469d-bf70-604a2c6e7696","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":null,"venue":null,"work_id":null,"year":1995},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:31c128f66d422e2f00130928c90f5a7f79d06182077baa03cb4fecf6bf446d16","observation_id":"1261ce44-1812-4c9c-a17e-5a57028dda35","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":"Spearman, J","venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:20c3325d5b32915d4de4e2dfb34d704c80567fcc968e8cfbd4907c979754845d","observation_id":"07195ccb-bf27-4866-a64c-daf9e0efb953","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":null,"venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:35d56ac73986ef5c6a89ae6ddd411b839ee415e6f512915e774c34e16b904a01","observation_id":"fd0e2243-df45-421f-9a0e-5cf05a73f83c","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":"Xiong, K","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:751b0de990d322352baea736697229b054c9fc41873cf75be1c9fc71617a9786","observation_id":"1deb1349-e718-4b78-bbd8-68f8574f2d76","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":"Hoffmann-Vocke, J","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:c111ac17c848ee2075741b1dec56fee1d1c8e646198f13b1c2a1c26bbffa663f","observation_id":"6c36cda5-7129-4393-8b90-ab257bc7d145","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:92da061aab6c3f506fc37e961c68e28df41b40c09453077f9304ef5c8784bfb5","observation_id":"0034e5e1-7cd3-4984-be4d-8d43fe4f8941","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":"Laribi, A","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:b9fe2cbc286743751cd720d5f332a43f9a65f293d64427cb72b5367e6547e0f5","observation_id":"cb0d992f-a446-476c-a88a-88f05b10d0af","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":"Noiray, D","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:78be2b7b7392a7b22f3018ee1e56fee94ec85db583208673a6746a632735a261","observation_id":"137c8937-b6ed-4ab0-aea5-245f9acdcc8d","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:7cde08543a7d5ec0ca8325836118e468ae4f7be3817ac7ce6f19e18dabcb3a32","observation_id":"da52785b-8c97-4d74-9c60-8028da0bf3a5","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:cbc9fe5a252d8767739668f6b816664ca4c022b24fefe5037c383d165bfc9904","observation_id":"150c9a44-d88b-45d7-abe5-46dde8fdfcea","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:11ee34e0c1b3af7c94f9c0efca401cdf954b96ae2f7dfeb05953b3480a53659f","observation_id":"c1ebf83c-9754-488f-9715-1dd4c2389618","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":"Younesian, M","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:14ad66ca3e5a8ad5da23ee351ee859161da7c8a4c9f294db3111b56e97c7240b","observation_id":"52c146cc-6daf-4107-89ea-40005abb6487","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":"Younesian, M","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:8d5bd7128e10fd264a4c282a9023d7e743ab1946ec9065f664181b90b3156f59","observation_id":"0914dfe6-b805-45e7-b519-21d351cfff87","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":null,"venue":null,"work_id":null,"year":1980},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:47b5ff1dacfcb145124b566255078c48a89b2df6f236d3186bc43b10b6338301","observation_id":"82cc21ce-27c2-4e2f-ac67-476751821164","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":null,"venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:1fadef4f0ff5bd7e205d901d955d1e62da10873a80fba46c4e1f93aa5c760b4b","observation_id":"1bf89173-5a51-461d-bd8b-fc332412e20f","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":null,"venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:82d0a50f4f2e7d2f35a46d1eff84d8c66e15648f7002d6ec922f8f396d369d09","observation_id":"a7bdc8d0-1fd5-4928-8355-70c9e99eb74e","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":null,"venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:bff60406dcd743f910ffcf50c4a7aed172141962da2fea6293fb7e9d512cb7f2","observation_id":"5e262dab-7bcf-408b-9847-46b07679e298","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":"Sakaliyski, J","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:697753e1095bdb69cc69e1f3395343d80fc28a07ec696d3619c1ec446e431dc0","observation_id":"350d1629-9850-483a-8329-11bd1ef60d5e","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":"Rubio Carpio, F","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:0609c7efb8839f93b22aa4f66ce10473262c12ca71d75224eb803ed3e20fc239","observation_id":"b84698ab-9cae-40c3-9c74-2c9c743599e1","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:6a41863cf9d04193767e56e9de456e404a1e0282beba6ea6a59d5ae5b4b939ff","observation_id":"417f76f7-eb9d-44c6-a42e-12676fc0ca57","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:ee02fc25eb642b79b329f6e4de89a6e53192696f71274fecc019e7f5d17678d8","observation_id":"551be7f2-c466-4e60-b44b-0328abac6e32","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:aaa35923395a2e0aedd6c083392ef3e21393fe0552040c49fb5a3b85770c1965","observation_id":"f04585e9-c549-4718-8240-c3d0c72fbe2d","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":null,"venue":null,"work_id":null,"year":1990},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:9e52a3cce9fae7008a4442822db941070f88cf62709aa159f6a631e9d6d7d682","observation_id":"4bc7c17d-cf31-4678-82ad-fbf23ec11cac","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":null,"venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:3293e74b33e8dd69b970c7990849e56bdad8025fae182b0b23aae8721a4b2e4c","observation_id":"d25f8c76-dea5-43ed-9bb0-b3184853c7e4","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":null,"venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:ebc1040179e86985c5c959bb199cf27a68c7d956d4b30ca7e584fca585a91e81","observation_id":"b83fec95-b28e-479f-a8f4-a4b9d0638555","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:64f5b3c0bf5860a8d25de578a344cdbb386791464366688470069c5e6e16601c","observation_id":"fe469243-627e-4f67-809b-bb952ad9d7b1","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":"Yavuzkurt, G","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:540cb84e71c6c54e6543a542113a74665fbb2c1afe4ea29ef89be4c5a1578c2b","observation_id":"70e1292d-bbba-4df1-a3f0-3ab45284efe9","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:14fd6ad945fa9d8b6d74f2c4225291a3b0063d09ac1d7908be3e0ed0046648ce","observation_id":"773a1d3c-b2db-4f65-a9e4-174d031afd2a","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:9b2fc31f1da607c03c3a33e281c9a1ed6ccf93b8c36e53447448b833a9686a01","observation_id":"8e42de2e-4898-4c8c-a463-dcde82bb42bc","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:04eaaae4b48962c5b6d5d9921eedf7737b43db41fe1d1b0b0ae81ebecc9a85ac","observation_id":"e0f9ee9d-1e13-47e7-be8a-dc566a0044e6","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":null,"venue":null,"work_id":null,"year":1986},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:7730f8e2c494fde9eb3fac40038b1af47c3fb00783ed0bd978ca9c680fc1811b","observation_id":"016ae850-6181-4b5e-b59b-db442a3bdf71","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":null,"venue":null,"work_id":null,"year":1994},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:d1978c4bc6807d780d4c77023d7b95d8ac93ad49399c9e68c99dbadc7c4f9c25","observation_id":"1acc0b6c-6eb1-43fa-b321-c72177d90d32","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":"Kast, Pressure drop in single phase flow, vdi heat atlas (2010)","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:d300f93ab4f426b6a575bd157b20f25b0fd7a2261e6beb37ac10619d8a560919","observation_id":"24e09055-6087-4895-8817-40dfe1517471","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":null,"venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:2586418f4d93537decab76207fd59badfeb5e97021a72fc9195d0c6d97a388cc","observation_id":"fafa846a-d7ba-47b8-a652-b5c3b3a492b4","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":"Pressure losses across orifice plates, perforated plates and thick orifice plates in ducts, Tech","venue":null,"work_id":null,"year":1981},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:0277490d00c5d82120b7be71f58e3834470e54f0064e609f74546e815ae8cc99","observation_id":"f7fc357e-b343-46be-818f-1fb96e2ae303","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":"Malavasi, G","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:821b3863e81da95f36ad9a87262508b7c00c22206d439bc05bf50a2470ac117b","observation_id":"2daf7fbe-3d53-4af7-9737-d663333cb580","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:5e03636e1352d32959972f9f04de7dec1f14a9594f9106ac4c17fe95c04d341a","observation_id":"98dc2bae-3804-4bc6-a702-308b5fe1d700","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":"Tanner, J","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:fc623d57e4cf070d7d3cd7c9291871381aed0cce447422fbb9cb2d5f45699f9d","observation_id":"b093a771-0525-4c8e-987b-ec8f133e6a9c","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":"Minotti, F","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:31eb3003ee70098aa8322715594fc5182c777c5d791c063359773f0f9010d7cf","observation_id":"3b7c3bef-3467-4fd5-9889-7ee34a477899","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":null,"venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:f33ad0987a842e84f7cd33eb82c826aa7acf3bf6d5d176b8235ee33f44306f8b","observation_id":"a292baa4-d40b-41a0-b295-b30b4ab2f037","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2406.09132","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-30T03:24:12.881538Z","title":null,"venue":null,"work_id":"12a745e1-fd6b-4eff-8858-ea01a448cd88","year":2024},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:e6a191bc3ce4a5160d8b8b036c3daa7715ac7b96c6e46f9304bd96db06ba28f2","observation_id":"d126deee-e655-4283-8399-c02b7392ae85","resolution":{"observed_at":"2026-06-30T03:24:12.882755Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-06-30T01:42:35.562484Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:3b561f25c1e2bb4caa483085c0846694f88a445927c569a7ba4b1848bf67db38","observation_id":"f26d1918-9a34-4523-8aaf-3fb5ec4a4533","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:c1f8c34853c8bc2e86921efe5eed955d31ae586f1fd0ee40e226a6415a2f3746","observation_id":"b6be5dfd-cd98-4de6-848f-08223ccefe08","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:4233485b9477b231ffbe60b249b6c4ba01e1cac80b3f66487a2a78936e08c6ce","observation_id":"0c1ec32e-520b-434e-94e2-c70aa9cdda52","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:0b2b63fbe61b88e68f09b487139deeb4b37799371e8f1a900daac121ba95871d","observation_id":"651f6210-faa4-43b5-915e-9c07ba42f1e6","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:4193fdc67b2894cdfc6eeb42fdf00f5361b7ede0d752064c11212543958199bf","observation_id":"6f751da9-5a32-43d6-9411-4393bd6d05cb","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":"2022.1 (Siemens 2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:2382685c34aadbbd1bcfae8c6fa08d3216a19be9d4972dc9e66550da8fd73683","observation_id":"480c8348-19cd-4818-8211-2539cd8d18ea","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:a631a1189734db56f198b8562b582a6a00680a3c22f23bf289f59c2cb4f2936f","observation_id":"d924f1bb-bbae-4308-bf80-8c0988a04862","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.11730","last_updated":"2023-04-23T19:33:43Z","snapshot_observed_at":"2026-08-20T13:54:32.097991Z","submitted_at":"2023-04-23T19:33:43Z","title":"A fluid flow model for the pressure loss through perforated plates","version":1},"cited_work":{"arxiv_id":"2304.11730","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.11730","snapshot_observed_at":"2026-06-30T03:24:12.883817Z","title":null,"venue":null,"work_id":"584c58a0-a02a-4468-9d11-aee2619efa1e","year":2023},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"cited_paper":"/paper/2304.11730","citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:0f68baedac2b9cfa67d31ca66adac186682085afd4766bea100ecd37631eb0e2","observation_id":"f6558a8f-5b3b-48c1-8f10-31afea175884","resolution":{"observed_at":"2026-06-30T03:24:12.885105Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-06-30T01:42:35.562484Z","title":"Shahzad, S","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:ee62aa6e40dc475af21989be78e746818e3f54b38c23246e2d1428d5a95bbb42","observation_id":"15ae20de-8571-4273-974c-a7cf39707867","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":null,"venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:c95cfcffeb5272e0fa34dcbc821649cb69e84aca55df050ae5d78314a36492d1","observation_id":"25afff17-6460-4084-bb04-3f4acff1449e","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":null,"venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:b44de2b97fe095974865bef060884a35c71c037338139d6156152b7e5ed26787","observation_id":"517f6e88-9314-460f-b5a3-6eba02d0126b","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","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":"2026-06-30T01:42:35.562484Z","title":"Fratino, Hydraulic and cavitation characteristics of multihole orifices, in: Proceedings of the hydraulic machinery and system 20th IAHR symposium, 2000, pp","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-06-30T01:42:35.562484Z"},"links":{"citing_paper":"/paper/2606.29628"},"observation_digest":"sha256:410e01e6bb5dcd08f08ae42315751a5e207352b01ef857374645dde30f666b95","observation_id":"99752954-ebde-478a-a841-26a1bcf7f505","resolution":{"observed_at":"2026-06-30T01:42:35.562484Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2606.29628","last_updated":"2026-06-28T22:21:23Z","latest_version":1,"primary_category":"physics.flu-dyn","snapshot_observed_at":"2026-08-05T11:36:10.883584Z","submitted_at":"2026-06-28T22:21:23Z","title":"Kriging and neural network models for pressure losses across perforated plates"},"reference_resolution":{"displayed":64,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":62,"verified_exact":2,"verified_fuzzy":0},"total_outbound_references":64},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2606.29628."}