{"as_of":"2026-08-22T20:24:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:70c4942e81f5e9e4a10faf22cb6b102872391d4ec614b53972e2de68aa1a5358","coverage":[{"denominator":93,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":93,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T00:45:09.122092Z","state":"measured"},{"denominator":93,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":93,"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/2412.19387/citation-record","integrity":"/paper/2412.19387/integrity","json":"/paper/2412.19387/citation-record.json","paper":"/paper/2412.19387"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:08.802836Z","title":"Food preservation techniques and nanotechnology for increased shelf life of fruits, vegetables, beverages and spices: a review,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.802836Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:0e2bb00cdaeace3be99fcd95683cca95eb14cff6ee27ad4fa01e294fa1f13cc0","observation_id":"13840087-acb3-4c8a-987f-6aa1326344e3","resolution":{"observed_at":"2026-08-11T00:45:08.802836Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:08.807268Z","title":"Novel synergistic freezing methods and technologies for enhanced food product quality: A critical review,","venue":null,"work_id":null,"year":1979},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.807268Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:f218e9366e73946e68177228c35243cc9b1ffbdcd0716394d6e29837e4da7e27","observation_id":"c73dfd7c-4699-4aff-ad87-fcc08ee8ee13","resolution":{"observed_at":"2026-08-11T00:45:08.807268Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:08.811229Z","title":"Conjugate turbulent natural heat convection and solid food freezing modelling: Effects of position and number of pieces of salmon on the cooling rate,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.811229Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:f95599fefef523d7738a2c73fd76403271c13a926a23f19c168b853e321bddf2","observation_id":"2a794a0a-b734-4dfe-9308-20af884514f0","resolution":{"observed_at":"2026-08-11T00:45:08.811229Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:08.815647Z","title":"Effect of freezing rate on the quality of frozen strawberries (fragaria x ananassa),","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.815647Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:4b8a3694b702bd8302792a7ab58857f99f422cefa47387bb4b2b168dc1c337f6","observation_id":"228c1d7e-251d-489e-97cc-02e3afe5e600","resolution":{"observed_at":"2026-08-11T00:45:08.815647Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:08.819823Z","title":"The physics of freezing and melting in the presence of flows,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.819823Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:f014f1ca4f8a45ff5fe5cb6d2274d402be5c9830111552d50be29267292f8eb1","observation_id":"8d43f389-d055-40df-acd5-94a6367d3747","resolution":{"observed_at":"2026-08-11T00:45:08.819823Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:08.823905Z","title":"Recent advances in multiscale CFD modelling of cooling processes and systems for the agrifood industry,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.823905Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:0b503efbd318c705b0a67b5169720c8b9ad266b57bb7b355b3a1d00df4314aac","observation_id":"78492558-2cba-4a4c-8c11-3e604bc5788b","resolution":{"observed_at":"2026-08-11T00:45:08.823905Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:08.828286Z","title":"Application of computational fluid dynamics simulations in food industry,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.828286Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:8e23d3b6f3f433270f91a45a7534abb00ea696783efff07562f11e3fa4fb3bc4","observation_id":"4488303d-5ecf-4dc7-9385-0038b26c7991","resolution":{"observed_at":"2026-08-11T00:45:08.828286Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:08.832068Z","title":"Improvement and Development of Physical Field Drying Technology: Principles, Models, Optimizations and Hybrids,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.832068Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:f0b0986051ecf658bc7d0d36c6256fb8941f14bb5c05e7d254ae1526d6abcfd3","observation_id":"c41a34ca-1a48-4dac-9ff4-1b7ea4b8939f","resolution":{"observed_at":"2026-08-11T00:45:08.832068Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:08.835809Z","title":"Predicting local surface heat transfer coefficients by different turbulentk- ϵ models to simulate heat and moisture transfer during air-blast chilling,","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.835809Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:809fa8514ec098fd0194bbb1a83a9ecebb08a1f08bed6c0cb9eb019ae9be0686","observation_id":"e005ba06-7c6a-48bc-91f7-ac4d40708169","resolution":{"observed_at":"2026-08-11T00:45:08.835809Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:08.839662Z","title":"Advantages in predicting conjugate freezing of meat in a domestic freezer by CFD with turbulence κ-ϵ 3D model and a local exergy destruction analysis,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.839662Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:1df8369b93f67580ef7b6767baed2386751c361f0258ea9133527c0afbb36b30","observation_id":"ab588be6-9efd-43da-9f9b-2cef6d11158c","resolution":{"observed_at":"2026-08-11T00:45:08.839662Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:08.843343Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.843343Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:59cfecd380661cb424d4bc73f5e80ade250ae1eb5e025299e770604486bb4509","observation_id":"662a6b3c-6ec6-4ee1-a2bb-b009e6d9ee79","resolution":{"observed_at":"2026-08-11T00:45:08.843343Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:08.847353Z","title":"Validated numerical model of heat transfer in the forced air freezing of bulk packed whole chickens,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.847353Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:282d7b291fda22a44d70fa9194c96251e266de2b5a8e6aa629234c00114456e0","observation_id":"95f49e1f-3703-48d9-b734-9c0132ba9408","resolution":{"observed_at":"2026-08-11T00:45:08.847353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:08.850887Z","title":"Experimentally validated cfd-tool for a freezing simulation in a small-scale freeze-dryer,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.850887Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:5ab07cd425cefc314848a60082db15f343a1790e2e9bed836e1f287ae61bee83","observation_id":"3e256da1-42e5-445c-8a75-09ccb94b2a9a","resolution":{"observed_at":"2026-08-11T00:45:08.850887Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.978504Z","title":"Effect of fan speed, sample orien- tation, and tray structure on heat transfer and food freezing time in batch air blast freezer,","venue":null,"work_id":"0a584957-efca-48f6-80e6-850776959562","year":2025},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.854532Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:90b3092ea0c8664bbca2b32e5c32e2bbba82f2395ccc35f7e17489801d2c468e","observation_id":"8b958555-de14-43e6-b784-b24c0633cbfd","resolution":{"observed_at":"2026-08-11T00:45:09.982711Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.960244Z","title":"One-dimensional finite- difference modeling on temperature history and freezing time of individual food,","venue":null,"work_id":"56d3146a-9431-49c7-92f7-c1b88914c2ed","year":2007},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.861947Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:e0802de26a4a00558b20c0d1830da3aff7b3fffae710e3aef2858a00b980d033","observation_id":"47d6f983-fbeb-494c-8ef0-4b2b099ebdfc","resolution":{"observed_at":"2026-08-11T00:45:09.963470Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.950615Z","title":"FDM for the freezing process of a slab using integral average properties,","venue":null,"work_id":"365a960e-b8ea-4883-808d-b47712077b75","year":2020},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.865648Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:2076e7c62fccb944d6748c039bf332016f9349fa113bf5118f671ea97fd30188","observation_id":"795d540d-433c-45a3-82fb-8619ea44d026","resolution":{"observed_at":"2026-08-11T00:45:09.953873Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.940821Z","title":"Simulation of Transport Phenomena for Microwave Freeze-Drying of Potato Slices Using Finite Element Analysis,","venue":null,"work_id":"31c01833-57fb-41d6-8c13-70cc9d7c11c0","year":2025},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.869274Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:bb58916fdaf04cf38af3b542d779dc3c956dd1f1694b9421436d895c9f4f774e","observation_id":"cd4ce9b6-9c85-4922-ba96-0fdcb41837bc","resolution":{"observed_at":"2026-08-11T00:45:09.944369Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.931224Z","title":"Computational heat transfer analysis of liquid food in a heat exchanger with vary- ing stirrer settings in a nonclassical continuum framework,","venue":null,"work_id":"3d526cd4-4777-49ab-9c94-be4535f412c5","year":2024},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.872712Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:2589d401f4d2587131c0647d0dce43ef26d9beaf2caa93991113f5548a559335","observation_id":"37c195ef-36dd-408f-b560-274fca9acb5b","resolution":{"observed_at":"2026-08-11T00:45:09.934487Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.921261Z","title":"Thermal Analysis of Conjugate Con- vective Flow in a Vented Chamber Featuring Different Heat-Generating Solid Objects,","venue":null,"work_id":"90cfabe2-1474-48b3-8837-b9be4979c40b","year":2024},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.876433Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:a8e026196e7c4187dfae5ea7a0232e8108940b6c68157edfcc9be9162a431f98","observation_id":"3528d416-a785-4d65-86af-5d6722f77c91","resolution":{"observed_at":"2026-08-11T00:45:09.924866Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.910909Z","title":"Predicting heat conduction during solidification of a food inside a freezer due to natural convection,","venue":null,"work_id":"9c5f93d7-6694-4d23-b707-9ace7c379f17","year":2003},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.879916Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:ecb2ba46cd1395c1ccfe87ba9b8eece7d8cacacc2f8a90341541544bdfd8e30c","observation_id":"7cca4128-278b-4726-82d0-2cef56ba83e6","resolution":{"observed_at":"2026-08-11T00:45:09.914870Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.899986Z","title":"Experimental and numerical characterization of food dehydration during freezing,","venue":null,"work_id":"8bf01113-bc0e-4371-aaeb-57d50fae0227","year":2019},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.883383Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:8a6bb6bde364f17d1013b2ae564ea59fda61f93ad56308bb78ff68480cbbfe04","observation_id":"4cebf83a-2eab-4c93-8c19-3b2e3ae18fe4","resolution":{"observed_at":"2026-08-11T00:45:09.903960Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.889681Z","title":"Freezing of foods: Mathematical and experimental aspects,","venue":null,"work_id":"a364505b-deae-4d92-8734-b2e2fd5b6f35","year":2017},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.886710Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:7cefb226ad0b9b1bf94b3aa86fec90c45d0a90a311dc981ddb73618fc2a90f4e","observation_id":"66ef0c00-cbf8-4ef1-9e88-ed606d4427ec","resolution":{"observed_at":"2026-08-11T00:45:09.893556Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.879470Z","title":"Concept of Com- putational Fluid Dynamics design and analysis tool for food industry: A bibliometric,","venue":null,"work_id":"dfe11de6-6dfa-4ecc-b0cb-cdc69ab48cf2","year":2023},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.889870Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:8314cd78c38457ee80a0c18b58205ed40a1c18311bc6cd42381bd492958f05d3","observation_id":"27b04e19-49ff-44b5-b4d2-5af6511200fc","resolution":{"observed_at":"2026-08-11T00:45:09.883153Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.869195Z","title":"Exploring mathematical modeling and cfd in con- vective drying of fruits and vegetables: A review,","venue":null,"work_id":"f9084aad-1834-467b-9d38-26178d5fc1ff","year":2024},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.893312Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:a707dd4ce995510e05b3a2a51a75bdaf1e5fb018215fd712f3bb00546f4aaff1","observation_id":"81e9bb2e-5140-4fa7-9c1d-4e2a7cf79436","resolution":{"observed_at":"2026-08-11T00:45:09.872799Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.859574Z","title":"Inverse problems in food engineering: A review,","venue":null,"work_id":"447110a1-a76f-4385-8355-7f54dd4383dc","year":2022},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.896530Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:be936b09adb57e80e602d02834fb99db292667cd7cd8ba6ffcae4360177c0fac","observation_id":"bed3945f-ae44-405b-989f-f6d2ab5ca19a","resolution":{"observed_at":"2026-08-11T00:45:09.863142Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.849681Z","title":"Moisture diffusivity coefficient estimation in solid food by inversion of a numerical model,","venue":null,"work_id":"7a1309b2-1b60-4757-af56-bbccc30f4180","year":2014},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.899673Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:9d4449f04176e6d4818a9fa7aa5cadc1388d9640008dd16854fece790e7cdde4","observation_id":"1afbb483-180f-4f34-af7d-f6df40d93ba1","resolution":{"observed_at":"2026-08-11T00:45:09.853102Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.839204Z","title":"Estimation of the energy requirement of bread during baking by inverse heat transfer method,","venue":null,"work_id":"96eceb6a-b910-4fcc-97e0-c8728b4d6456","year":2023},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.903023Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:7168db01c2a25a973f0814cac0af9fef20f6f393c768b72f8ccd50b9b00788a1","observation_id":"29da77c6-e8d6-43a9-a842-a9e11fc8ab2e","resolution":{"observed_at":"2026-08-11T00:45:09.842939Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.829062Z","title":"Inverse method for the simultaneous estimation of the thermophysical properties of foods at freezing temperatures,","venue":null,"work_id":"63268f28-0dc1-4607-a0e8-ac99f342917d","year":2016},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.906292Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:ebb00da68d7db516b47ef7edb6c47dd63c629ea71fdc35c549526c73006b899e","observation_id":"2b1318c3-7699-46ac-9a31-ecf9b223b689","resolution":{"observed_at":"2026-08-11T00:45:09.832757Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.819245Z","title":"Inverse estimation of thermal parameters and friction co- efficient during warm flat rolling process,","venue":null,"work_id":"7a535434-adfb-4af4-beba-6da8a7590dab","year":2015},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.909284Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:85f4b93f07aabd77c7731a357385a9be2c00b83fbcce6b80c299f67ccc1be486","observation_id":"ddd3a7fe-7c88-491e-8547-faeac523ae24","resolution":{"observed_at":"2026-08-11T00:45:09.822799Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.809719Z","title":"Inverse estimation of the transient-state stress distribution in the power boiler pressure components,","venue":null,"work_id":"137ec4c9-f452-4dca-b6d3-512ffb5e0ff2","year":2016},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.912109Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:26ffe364f3a29d13983ea6d3bc234aca3047aa48756f2fa372f7df5fd5ec723b","observation_id":"dc3611cb-8ad9-4f8a-8b88-2a17e71466fc","resolution":{"observed_at":"2026-08-11T00:45:09.812954Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.799395Z","title":"Coupled data assimilation and parameter estimation in coupled ocean- atmosphere models: A review,","venue":null,"work_id":"b8145ffb-35ef-4c6a-abe3-43195c8bae56","year":2020},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.915099Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:5d5a26c9b45c997ca6cdef23cb433e06cd6019f8c3e3d838d2702b6f0d989be2","observation_id":"aeac4240-2ea3-495e-9d94-63177a0559c7","resolution":{"observed_at":"2026-08-11T00:45:09.803169Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.788939Z","title":"Reduced basis homogenization of thermal and elastic properties for periodic composite materials,","venue":null,"work_id":"42a12b69-7ead-4b83-b4f3-df485d9e27fa","year":2024},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.918227Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:3955566cdf77bb50d0634c8d0df5eb1870891a97c7274b65778886431b9f8926","observation_id":"5f88205e-8fe3-4749-a413-4dbbc86c8d7f","resolution":{"observed_at":"2026-08-11T00:45:09.792324Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.778842Z","title":"A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications,","venue":null,"work_id":"5736227c-8f70-4b4c-9813-f88bc92c871e","year":2023},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.921134Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:469063326c98069f9f52784fd6adeaa475dc73754f210cfc5787361576d20cc9","observation_id":"4fc415c5-087f-40ba-9574-1a144f58571f","resolution":{"observed_at":"2026-08-11T00:45:09.782306Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.766432Z","title":"A real-time variational data assimilation method with data-driven model enrichment for time-dependent problems,","venue":null,"work_id":"064e188a-3af0-458d-9047-71147a7574cc","year":2023},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.924032Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:89d470889f5bd418ba2e444f7b08b7f148fc41e8b7e39dae406fd4c00b13a9c5","observation_id":"56ef31e6-39fa-4a2f-932e-c5f2919c0dca","resolution":{"observed_at":"2026-08-11T00:45:09.770705Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.754542Z","title":"Respecting causality for training physics-informed neural networks,","venue":null,"work_id":"b24403c9-b277-431e-ad0c-b6b935a67104","year":2024},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.927077Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:7bfa0b03fa4609aadcb031fd07aeddc5ef632472678b1361a573295bcd9240db","observation_id":"f1263afe-3f58-4c38-a892-414d239f302a","resolution":{"observed_at":"2026-08-11T00:45:09.758257Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.744397Z","title":"From PINNs to PIKANs: recent advances in physics-informed machine learning,","venue":null,"work_id":"96a3ef4d-67d0-4e42-ba43-d5f50c625165","year":2025},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.930436Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:a17befc0f914f05586097ee4e35a08a76d7d854dfe5aaac1f00fbed893e3da45","observation_id":"fdc2673a-6880-499e-b139-1625a5655486","resolution":{"observed_at":"2026-08-11T00:45:09.748108Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.733544Z","title":"Data-driven modeling of an oscillating surge wave energy converter using dynamic mode decomposition,","venue":null,"work_id":"caf0f37b-0a4e-48a8-a3e4-beb50a9c7b61","year":2025},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.933645Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:2dafb371f101af15a3a1207fe53855c5ddcde56fa0b45b40af4982693a22bb14","observation_id":"503fa5b0-dfe0-4e77-a9c5-7174b2a0d975","resolution":{"observed_at":"2026-08-11T00:45:09.737594Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.724239Z","title":"Physics-informed neural networks for parameter estimation in blood flow models,","venue":null,"work_id":"b0810c2a-e5cc-4c4e-84dc-1534a85a12f4","year":2024},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.936919Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:5b01713ed0a2ed1baf9a1877c6fbcc66a9340ce182d7f1d8511d092568ac6b87","observation_id":"0969443e-a72e-4dc8-b167-95f1165061db","resolution":{"observed_at":"2026-08-11T00:45:09.727498Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.714757Z","title":"Maximumly weighted iteration for solving inverse problems in dynamics,","venue":null,"work_id":"93d6bcfb-f8e9-445d-b475-b4054f7cd013","year":2023},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.940397Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:e6ca7b22f9b51f0129b72222026f3c0a5f324f7bdbc89c98724ad4d11c513097","observation_id":"174eda27-312f-43ab-a38a-fefc9a151389","resolution":{"observed_at":"2026-08-11T00:45:09.717897Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.704570Z","title":"Accurate state of temperature esti- mation for lithium-ion batteries based on square root cubature Kalman filter,","venue":null,"work_id":"553bac19-515b-4cad-8fd9-55b5c9e5482f","year":2024},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.943608Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:4302fe8160fb29c66594287795fc207f67e197a8aca47c150451931a6fcabeda","observation_id":"605625d9-007b-4c82-a3fe-1380151988c9","resolution":{"observed_at":"2026-08-11T00:45:09.707956Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.693873Z","title":"Time periodic natural convection heat transfer in a nano-encapsulated phase-change suspension,","venue":null,"work_id":"8b68d02b-1c10-4100-b61b-f5ee46e261e6","year":2020},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.947121Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:2fc5df1d3a22157ed21b90c2edd6b181e7cbc5238e2bda13e2c06eac42d37700","observation_id":"3267c000-5df2-4473-a4cb-15e832bebc22","resolution":{"observed_at":"2026-08-11T00:45:09.697639Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.683800Z","title":"A reduced basis method for parametrized variational inequalities applied to contact mechanics,","venue":null,"work_id":"d446b87e-204a-4118-a201-64e18b662b1b","year":2020},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.950655Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:801d26b74c0cd395d42bb8bdb279e83f7758a2026132db582198f00b1ccb2df5","observation_id":"a1c9f487-2c54-4f94-8e49-c7b489bea16b","resolution":{"observed_at":"2026-08-11T00:45:09.687353Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.673438Z","title":"Approximation of large-scale dynamical systems: An overview","venue":null,"work_id":"bcdd79cc-d49c-4254-8782-e15d0226d7e3","year":2001},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.954362Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:984444fdd9a4610daeb06564e19e2a11a1cbffd3a404f2a2f201f88aef5b772d","observation_id":"d29c98ed-e34e-421b-86f4-45b0637a104d","resolution":{"observed_at":"2026-08-11T00:45:09.677134Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.662512Z","title":"Randomized compression of rank-structured matrices accelerated with graph coloring,","venue":null,"work_id":"61921a8f-a236-49b4-8fac-2f3c34b8d603","year":2024},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.957847Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:11e6357c5c094b1b1e39b7a9d0e3dd52eafe7a1175296e5bd5d1d9a5a39ba511","observation_id":"bdb4ac44-40ab-4362-84c3-78c5dba8e493","resolution":{"observed_at":"2026-08-11T00:45:09.666258Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.652648Z","title":"Friedrichs’ systems discretized with the dgm: domain de- composable model order reduction and graph neural networks approximating vanishing viscosity solutions,","venue":null,"work_id":"c80a0dcd-fb9f-45ab-acee-f0a9f0054b4b","year":2025},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.961017Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:757b4af50e49e85039a35c79d5a260442071bc10bc54dffee8ef41d4f1739a4c","observation_id":"9b80b3fa-a490-4209-a493-e2cb8610d3da","resolution":{"observed_at":"2026-08-11T00:45:09.656132Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.643506Z","title":"Higher order dynamic mode decomposition to model reacting flows,","venue":null,"work_id":"7705ccf0-9c4f-48fa-8122-3b3c3f26da64","year":2023},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.964305Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:afca8e22fa8841e1442f5121a0a786ea4e4a9e3efe407b5d5d692498bfdccc23","observation_id":"070aea09-c6f4-4f39-bb0d-f0c0053c291b","resolution":{"observed_at":"2026-08-11T00:45:09.646758Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.633673Z","title":"Reduced-order modelling based on non-linear modes,","venue":null,"work_id":"a3715201-32d5-4011-bf3c-719d1b5f7595","year":2022},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.967713Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:a36a0860f27b990be9a48f5fe0e30c3aa5635a104e4b52f0aa6024c0d818e6c3","observation_id":"37e98223-9602-4b10-a613-aaabbe61cbd1","resolution":{"observed_at":"2026-08-11T00:45:09.637023Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.623374Z","title":"Frangos, Y","venue":null,"work_id":"f44eb791-1460-46d3-9060-2df37358bad9","year":2010},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.971432Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:ba5b7bd0b26bf036066ff83b7f0e96f99460cbb3922b1b27079034af9413b24a","observation_id":"d13e1663-d88d-45b1-8d15-6a76f2387a71","resolution":{"observed_at":"2026-08-11T00:45:09.626789Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.612321Z","title":"Benner, M","venue":null,"work_id":"7cb1044a-64e4-4f78-8ea5-83e170abd322","year":2017},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.974934Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:c33743fca9838e32cee4d02b0bf4cb7bd99e920db818105c0a45ade1e75a98ff","observation_id":"89188472-c795-442b-b2c9-63be736ebeae","resolution":{"observed_at":"2026-08-11T00:45:09.615931Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.601552Z","title":"Adaptive pbdw approach to state estimation: Noisy observations; user-defined update spaces,","venue":null,"work_id":"aab9bb70-a426-4bbe-87fc-ad51742a400f","year":2019},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.978339Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:5996784b7addc70b1104bc3f8f0083e94fe03394d54275ef9af37e3bf0197cde","observation_id":"50a24de0-0e3f-407f-af55-d6b7f6585e87","resolution":{"observed_at":"2026-08-11T00:45:09.605440Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.590104Z","title":"A parameterized-background data-weak approach to variational data assimilation: formulation, analysis, and application to acoustics,","venue":null,"work_id":"86366fc0-5b86-4d9f-b494-e9a20fdc3310","year":2015},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.982368Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:24a760920a67f2626ea9ae8f0333dd9913361a7cc0bd41c77c5c2daefc65b7f8","observation_id":"9c780c3f-46a4-4ff6-9da3-8b0869ad2d3c","resolution":{"observed_at":"2026-08-11T00:45:09.594162Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.577972Z","title":"Optimal reduced model algorithms for data-based state estimation,","venue":null,"work_id":"921b08c6-b5f6-41b4-a016-55889c9f3d25","year":2020},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.985762Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:c111c49d7596cf58a46be91bb048022bc7d465436ceb7780205698840785cef4","observation_id":"4bb972a3-f6d5-4f1c-9c93-28da8542d72d","resolution":{"observed_at":"2026-08-11T00:45:09.583050Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.568336Z","title":"Fast reconstruction of 3D blood flows from Doppler ultrasound images and reduced models,","venue":null,"work_id":"8791f315-f7ee-4d23-abea-fa7a565f0242","year":2021},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.989141Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:73c08a49ecb34f8fceb4be0989fa7989453840aea23c65c4a0031e103edc6aa8","observation_id":"d270a40b-a1b3-425f-a7fd-b203a7a7ea73","resolution":{"observed_at":"2026-08-11T00:45:09.571873Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.559067Z","title":"Reconstructing haemodynamics quantities of interest from Doppler ultrasound imaging,","venue":null,"work_id":"a2587f21-8462-4af8-960c-d03cbbe1570d","year":2021},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.992551Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:3e3b4dc092d9327fe93a9705ce817d95537ef26455533ec8ffda8bd5ccfdddbd","observation_id":"b72f6306-5665-407c-a7cb-7fddb972d95e","resolution":{"observed_at":"2026-08-11T00:45:09.562235Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.549607Z","title":"Displacement and pressure reconstruction from magnetic resonance elastography images: Application to an In Silico brain model,","venue":null,"work_id":"fc809996-c234-4d43-99f1-9cfb8d173d3b","year":2023},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.996057Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:ea2b285954cb01d070ead02908ae6500bd85a8f3e3a9d41494067c46a2f729b2","observation_id":"010af364-44ed-47a5-8ca1-ca891127a811","resolution":{"observed_at":"2026-08-11T00:45:09.553034Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.539499Z","title":"Bias and multiscale correction methods for variational state estimation,","venue":null,"work_id":"84ef4f6b-16e7-4a82-ab18-61ffc7e0db7a","year":2025},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:08.999484Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:7ca71318ef3689bb9fc7706b80830878a49c18080e12b72acb0b30c1b9ab4f2a","observation_id":"bcd5190b-e4e8-451b-a67e-f5b891886208","resolution":{"observed_at":"2026-08-11T00:45:09.543209Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.528336Z","title":"Greedy selection of optimal location of sensors for uncertainty reduction in seismic moment tensor inversion,","venue":null,"work_id":"7f7729e0-9796-49e2-a323-c1bc64479a79","year":2024},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:09.002480Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:205f5217878fe2557e6d2b16f234f841d16f2b43970932c5e07289b4b42c8b77","observation_id":"657ec005-1a12-436e-b9eb-723efbe95e5c","resolution":{"observed_at":"2026-08-11T00:45:09.532425Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.517508Z","title":"Sensor placement by maximal projection on minimum eigenspace for linear inverse problems,","venue":null,"work_id":"de82ae6b-a3ed-4afe-8acd-0fe4c3728fa6","year":2016},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:09.005563Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:cd6e163c4e0a67953a5bc4426452c6af53f8ef5f1e799485ff476680ceaa5216","observation_id":"9ad90d62-68fa-41f8-a0c9-0ee6d0bb1115","resolution":{"observed_at":"2026-08-11T00:45:09.521550Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.506056Z","title":"Group greedy method for sensor placement,","venue":null,"work_id":"a939eb20-1321-4ce4-9230-4e684f973938","year":2019},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:09.009043Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:0cde7008f08d8e4793038180a34609edf05c2d153b6b1476fdabee912a678bef","observation_id":"13743930-f1a2-4475-a1d2-b03c8f93d678","resolution":{"observed_at":"2026-08-11T00:45:09.509955Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.493924Z","title":"Data-driven sparse sensor place- ment for reconstruction: Demonstrating the benefits of exploiting known patterns,","venue":null,"work_id":"faca10c9-31b6-4594-af69-2b4014d53966","year":2018},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:09.012328Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:70661f40b25f62d3952ceb3f69286a40fe448bb00f401d7a73ac21e18e424a1b","observation_id":"34682986-0f41-42a2-bd83-d8e605e58349","resolution":{"observed_at":"2026-08-11T00:45:09.498503Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.484861Z","title":"Greedy algorithms for optimal measurements selection in state estimation using reduced models,","venue":null,"work_id":"88902913-d875-4f19-9213-ac9f6eb9871f","year":2018},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:09.015435Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:769be0f234f532a749527d7aab4a4474a4e5e451ee56daef45e4bc3f2465a49f","observation_id":"48ca9635-e6b6-4ee7-87ce-4ea6b92dac04","resolution":{"observed_at":"2026-08-11T00:45:09.488219Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.475391Z","title":"Dynamical approximation and sensor placement for filtering problems,","venue":null,"work_id":"1f9deb09-c23c-472d-a001-539b5e06a656","year":2025},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:09.019417Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:978ddb74f1f7cd4cf011f80fe330d12c6005d95e7c98012c0fd0e039bc130344","observation_id":"c3faced7-c654-4979-956f-b8fedc66d533","resolution":{"observed_at":"2026-08-11T00:45:09.478883Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.465996Z","title":"Sparse wasserstein barycenters and application to reduced order modeling,","venue":null,"work_id":"353961f4-19ca-426c-83d6-03aa5620a33c","year":2025},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:09.022614Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:9e7e71222f6139be9750985711a39e2081bd37ba98cb3a26bc72fa6d0051f4a1","observation_id":"6530df22-858d-4e65-a2ad-89c353d2179e","resolution":{"observed_at":"2026-08-11T00:45:09.469027Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.455432Z","title":"Energy analysis of convective freezer cabinet with PCMs and salmon-fillet during charging, discharging and normal operation processes by CFD modeling,","venue":null,"work_id":"9430079d-2cd7-4699-9127-85ecb7e755e9","year":2024},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:09.025916Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:c8f225c75b1d5d64e44808713d64ee828149f381cc7b09b7a97fcb9d2ce0cf6b","observation_id":"b6b1f9bc-5457-4050-aae0-230fe7240d11","resolution":{"observed_at":"2026-08-11T00:45:09.459284Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.445217Z","title":"Control of ice crystal nucleation and growth during the food freezing process,","venue":null,"work_id":"20e8f926-769b-4d0d-980c-e7ba2a795a55","year":2022},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:09.028815Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:6d717e112300d42bc73e1d5d6f781d12b3652743022400fc525994b79b9ff23c","observation_id":"ffc789e0-f10b-49f0-8d69-a91a1e55b8bb","resolution":{"observed_at":"2026-08-11T00:45:09.448958Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.434826Z","title":"Regulating ice formation for enhancing frozen food quality: Materials, mechanisms and challenges,","venue":null,"work_id":"3be1c810-d2c7-4e66-b55b-634c3fd57bf3","year":2023},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:09.032270Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:055db17791f83ed16a7439a4f652740c01089ff9825e20334088afe67ae1654e","observation_id":"131ec1df-709e-4f33-af2d-fc44df3698e2","resolution":{"observed_at":"2026-08-11T00:45:09.438477Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.423524Z","title":"Effects of relative humidity on dry-aged beef quality,","venue":null,"work_id":"33c1654a-9eb0-4f8b-87aa-4eeb1f5a5a14","year":2024},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:09.035770Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:7f5573ad68ef2bcf2b17922f04fb47fcd732bb17ba9a35f396dc57155b8ad462","observation_id":"9cc6c486-2932-4b89-b024-81478d866e4d","resolution":{"observed_at":"2026-08-11T00:45:09.427305Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.412639Z","title":"Ten years of industrial experience with the sst turbulence model,","venue":null,"work_id":"2110fd6d-c2b4-4513-b4e9-8320ad580ea9","year":2003},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:09.038949Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:1c44aca326fea8561768d2d1c16b77d992faff9b29210ce03bd711ebbbedc2c1","observation_id":"14933114-8bff-4cdf-9aff-278ae20f94c0","resolution":{"observed_at":"2026-08-11T00:45:09.416534Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.401283Z","title":"Numerical model for heat and fluid flow in food freezing,","venue":null,"work_id":"58a5b582-dfe7-40e2-acd6-8ffa53399b29","year":1999},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:09.041906Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:09522569edc2c9e84f87fefdd7f45ea0396a9517291d56f43b164e8426ef5d9f","observation_id":"756b714a-5a40-4f15-9933-139ccab314a1","resolution":{"observed_at":"2026-08-11T00:45:09.405500Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.969305Z","title":"Numerical simulation of salmon freezing using pulsating airflow in a model tunnel,","venue":null,"work_id":"f09d8bd6-e363-494f-8cd3-6ea42ba03212","year":2024},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:09.044993Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:383e7456cd36f71ba324d1bda3e502ea0cc363f1c01ef9bdd46ac458bcd142d9","observation_id":"7ac07fe2-0ed3-4b9b-8277-7fd5051869d7","resolution":{"observed_at":"2026-08-11T00:45:09.972312Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.389834Z","title":"Simultaneous heat and mass transfer modeling for frozen hamburger: Investigation of cooking parameters and microbial inactivation kinetics,","venue":null,"work_id":"2ac9c33b-ffd1-46a0-944f-2a5328cf77e7","year":2024},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:09.047860Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:74112d22b69fc4768cede219f0bc1fe0525e05317f7c26c4039d0026f6b04cbf","observation_id":"e0a14635-abf9-4d1c-b193-aacc6587ae7a","resolution":{"observed_at":"2026-08-11T00:45:09.394070Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.379406Z","title":"Finite element solution of non- linear heat conduction problems with special reference to phase change,","venue":null,"work_id":"00186e5d-3964-4abf-a148-a8febbfbb67b","year":1974},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:09.050866Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:d6ffe0c8d37c755588edcd69953234dfb88a9b673078c1facbc2e81a8e4d7311","observation_id":"c9983d87-8944-4051-bacc-2891026d7064","resolution":{"observed_at":"2026-08-11T00:45:09.383036Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.369512Z","title":"Numerical solution of phase change heat transfer problems by effective heat capacity model and element differential method,","venue":null,"work_id":"5137b8a2-93d7-44ec-9987-ef86e23b4d68","year":2022},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:09.053693Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:e0e22d8448e705bc8c6f75427183424c6415b48eb58e710bffb2b98888a62b46","observation_id":"3a53829d-105b-4874-a5b6-007e1976b4dd","resolution":{"observed_at":"2026-08-11T00:45:09.372994Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.359811Z","title":"Theoretical modelling and experimental investigation of a thermal energy storage refrigerator,","venue":null,"work_id":"00292623-7c9d-4831-8ce2-db9da8d8d7f7","year":2013},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:09.056506Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:bc4d095084f63a1c1b4ef0b758cf41bc6b1c069fcf754d59fb4e67010c02b575","observation_id":"0f7a328e-4cfe-4663-aaa2-b966297a10f0","resolution":{"observed_at":"2026-08-11T00:45:09.363165Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.350329Z","title":"Ghajar and D","venue":null,"work_id":"fef84b58-fb44-4a2f-9214-933fd4202e6e","year":2014},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:09.059637Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:1af871f13101fad9fa2664b81d1a631f603961fe8c7b702ff0de3921e79c96d5","observation_id":"dbb92302-5c3e-48ca-a61c-d633f0416bf4","resolution":{"observed_at":"2026-08-11T00:45:09.353495Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.340147Z","title":"Finite element methods respecting the discrete maximum principle for convection-diffusion equations,","venue":null,"work_id":"b453b9c5-0cf8-4329-ad6f-f543a014d08d","year":2024},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:09.062785Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:70a3f766f100f049ac2a13eed124106685796f472c04850d0980d0cab4c27591","observation_id":"ca0aeebe-2bee-4c52-9ed1-6dd6f952baf3","resolution":{"observed_at":"2026-08-11T00:45:09.343660Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.331061Z","title":"Recent Advancements in Fluid Flow Simulation Using the WENO Scheme: A Comprehensive Review,","venue":null,"work_id":"2b341f2c-576c-49f6-bd88-7dad70362081","year":2025},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:09.066413Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:820bb960e9cb032f84735411994ee2cb209d2ca57f82ac421102512a6ae18e33","observation_id":"cbe190c5-10a9-4f7d-8b4e-b8d59c0ad5d3","resolution":{"observed_at":"2026-08-11T00:45:09.334237Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.321393Z","title":"Shu, Essentially non-oscillatory and weighted essentially non-oscillatory schemes for hy- perbolic conservation laws","venue":null,"work_id":"b774e691-3ed0-4fd4-a3d3-e610c64ba0ed","year":1998},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:09.069873Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:7c8341791535576cbf0df3303d931461f4924ce6c539190dc44956fb978b0deb","observation_id":"8e5fa6e4-2f90-48c6-92db-8255a5926dd4","resolution":{"observed_at":"2026-08-11T00:45:09.324967Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.310055Z","title":"WENO schemes on arbitrary unstructured meshes for laminar, transitional and turbulent flows,","venue":null,"work_id":"88ee3b94-b7a3-4c12-81a6-79b4fb9d3c8f","year":2014},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:09.073380Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:ac2c19224f16b8e20ba41760c05e6b0df143e1ca055171b9d60dd2847259b5f4","observation_id":"66968cdb-b916-442d-b268-eaaf3a0cb12c","resolution":{"observed_at":"2026-08-11T00:45:09.313951Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.298667Z","title":"High order WENO and DG methods for time-dependent convection-dominated PDEs: A brief survey of several recent developments,","venue":null,"work_id":"fbbe8f26-539d-41c2-a736-22a6b73c07d7","year":2016},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:09.077169Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:e6cb7243289aa9bb10b28b6247b79efcdeb18734d55028dc72fa6d188f294497","observation_id":"eee5ea8b-092f-4021-b7de-d95de5f44e22","resolution":{"observed_at":"2026-08-11T00:45:09.303037Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.287204Z","title":"Exploring the poten- tial of TENO and WENO schemes for simulating under-resolved turbulent flows in the atmo- sphere using Euler equations,","venue":null,"work_id":"5dba5371-8e6d-429b-bc1e-021c055c8306","year":2024},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:09.080511Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:122cb4ca9c2556c92c7838f4f42d607d23149f0dc1ac040a015cfde0b77df862","observation_id":"ec93177a-6c05-4bbf-869f-84d2400f9d1b","resolution":{"observed_at":"2026-08-11T00:45:09.291178Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.275885Z","title":"Large-eddy simulation of wall-bounded incompressible turbulent flows based on multi-moment finite volume formulation,","venue":null,"work_id":"96171c20-a247-4b4b-8aa0-2d561ea13156","year":2024},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:09.083886Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:3c0fc58a83d474c64cdb27ad20151e15286b7ce81e36c1f7fdd724b86218d7de","observation_id":"e85dc687-3a07-4316-8b8e-6ba28dd92fdb","resolution":{"observed_at":"2026-08-11T00:45:09.279928Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.264525Z","title":"Smooth solution region based enhanced hybrid third- order WENO schemes,","venue":null,"work_id":"66c72749-7b10-443f-acc9-a61aa1c725a8","year":2025},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:09.087746Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:b5940ec89a502803a3c86724d690277e1a11c527cc6448342f648885673416bf","observation_id":"a6b4b151-6281-4177-a446-e782ec4d75b9","resolution":{"observed_at":"2026-08-11T00:45:09.268733Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.252661Z","title":"Re-evaluation of an optimized second order backward difference (BDF2OPT) scheme for unsteady flow applications,","venue":null,"work_id":"0dccf0ba-4c27-4fb5-857e-9e8764cc6744","year":2010},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:09.091429Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:c7d452833bbf0d3c78bdf115ad137279cf85e615fcafdff43b3842f23032902c","observation_id":"b526a3a7-33e0-48e8-a032-c45cff816a96","resolution":{"observed_at":"2026-08-11T00:45:09.256867Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.242951Z","title":"Effect of time integration scheme in the numerical approximation of thermally coupled problems: From first to third order,","venue":null,"work_id":"fab22990-204e-415b-9947-3df9290f5187","year":2021},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:09.095020Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:6035a51935d639f69c5a100fbd5ad13ded6ab7f09b7c4ca2b34cf8ffffeb09d9","observation_id":"5a94c904-8ec0-43df-aa05-e27f37e9b66c","resolution":{"observed_at":"2026-08-11T00:45:09.246305Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.233138Z","title":"Experimental benchmark data for turbulent natural convection in an air filled square cavity,","venue":null,"work_id":"5a20e6c9-b164-4a48-95fe-f94249d12b8e","year":2003},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:09.098425Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:de70d28f76d356718eac0146704ed44dbce0eaa7983f3822b5a0f7e57d45dc9d","observation_id":"cda91c97-5476-4573-8573-d208161d7076","resolution":{"observed_at":"2026-08-11T00:45:09.236558Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.222596Z","title":"Data assimilation in reduced modeling,","venue":null,"work_id":"f79825b6-36b2-4e13-951e-9c738b09ccf5","year":2017},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:09.101877Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:a73619b7a76c72efb92d872031b1d7981e4ff9651916b3d48995e53e2197c564","observation_id":"3855f170-ee76-486c-815b-592162cd52d1","resolution":{"observed_at":"2026-08-11T00:45:09.226331Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.211393Z","title":"Nonlinear reduced models for state and parameter estimation,","venue":null,"work_id":"6f16eecd-8477-4f87-9df1-915ead4ad3c2","year":2022},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:09.105305Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:e9027570b2f3da2f851874d6f6b0a3ab556096261636222e22716a625cef63fe","observation_id":"f807f24a-e849-4cfe-a47c-d06d0f9c6747","resolution":{"observed_at":"2026-08-11T00:45:09.214960Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":{"arxiv_id":"2502.12097","last_updated":"2025-02-17T18:15:09Z","snapshot_observed_at":"2026-08-16T12:57:36.798973Z","submitted_at":"2025-02-17T18:15:09Z","title":"Data assimilation performed with robust shape registration and graph neural networks: application to aortic coarctation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.12097","snapshot_observed_at":"2026-08-11T00:45:09.108525Z","title":"Data assimilation performed with robust shape registration and graph neural networks: application to aortic coarctation,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:09.108525Z"},"links":{"cited_paper":"/paper/2502.12097","citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:51cbba81634a6e206bb7fb85948ab351d326af42acf4c5a4ca9190f85625ad1d","observation_id":"1280d9c9-33dc-4049-8b40-2fca05f1e274","resolution":{"observed_at":"2026-08-11T00:45:09.108525Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.199797Z","title":"UMVF2D: Unsteady Finite Volume Method solver for non-linear physics,","venue":null,"work_id":"92aa0929-d4d7-463e-9343-b7827df1e019","year":2021},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:09.112174Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:1669d6fd2614361224f56ffd227d8254b3989e25f264781202d97aed28fc8f64","observation_id":"0836552b-06dc-4c0a-837b-0327d28e4736","resolution":{"observed_at":"2026-08-11T00:45:09.203455Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.188023Z","title":"Inverse problems in hemodynamics. Fast estimation of blood flows from medical data,","venue":null,"work_id":"d7d50f4f-cd93-46d3-a359-b78f42604965","year":2021},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:09.115684Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:c70c69a3120a13adf770e87f763411dbe92b6e22c3168398e9e09b7e84ab88a3","observation_id":"583ca6a8-1da3-4437-8f63-6880d66e74d4","resolution":{"observed_at":"2026-08-11T00:45:09.191912Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.175475Z","title":"MAD: Multi-physics simulations for mechAnical engineering and Data assimilation,","venue":null,"work_id":"9b44e73b-e028-4f6d-94d0-ac184dc60b08","year":2020},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:09.118977Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:5f236b00bab31e047f4440d8292f78114e587cda3886575416bb694d98322a37","observation_id":"a219d8d9-bc17-475f-be2b-4546b361ade4","resolution":{"observed_at":"2026-08-11T00:45:09.179751Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:45:09.161094Z","title":"State estimation with model reduction and shape variability. application to biomedical prob- lems,","venue":null,"work_id":"f98cc064-0a2f-4236-9bf9-ff40f132a216","year":2022},"citing_paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors","version":2},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-11T00:45:09.122092Z"},"links":{"citing_paper":"/paper/2412.19387"},"observation_digest":"sha256:53d76d25c7df2f444d1d064d11e253996ac86eb3057db31480cf09882044c459","observation_id":"69caab0f-d0aa-4038-990c-f73419b59d47","resolution":{"observed_at":"2026-08-11T00:45:09.166557Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}}],"paper":{"arxiv_id":"2412.19387","last_updated":"2025-05-31T13:04:53Z","latest_version":2,"primary_category":"math.NA","snapshot_observed_at":"2026-08-18T05:24:46.384670Z","submitted_at":"2024-12-27T00:26:36Z","title":"A fast food-freezing temperature estimation framework using optimally located sensors"},"reference_resolution":{"displayed":93,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":14,"verified_exact":0,"verified_fuzzy":79},"total_outbound_references":93},"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 22 August 2026, this Paper Citation Record lists 93 of 93 outbound references and 0 inbound Pith citation observations for arXiv:2412.19387."}