{"as_of":"2026-08-13T04:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:946334deb1bf7c87e7f76e8f4a440433f84a221d5becd9cc99c92d86e42f30d8","coverage":[{"denominator":167,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T15:55:17.501435Z","state":"measured"},{"denominator":100,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":100,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+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/2412.10538/citation-record","integrity":"/paper/2412.10538/integrity","json":"/paper/2412.10538/citation-record.json","paper":"/paper/2412.10538"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/978-3-031-15703-5","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:03:20.376878Z","title":"Springer International Publishing, Cham, 2023","venue":null,"work_id":"444156b7-98db-43e2-a7b4-c131e0ab7d5d","year":2023},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.138963Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:95481cdd31babb170ea1d4e2bf9da6f78a63d7558fff8d7226773cb3dfa721c2","observation_id":"a4bb5075-e62d-4073-83dd-cdb1caa95654","resolution":{"observed_at":"2026-08-11T15:58:43.542482Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.agsy.2019.05.007","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:58:43.407531Z","title":"O’Sullivan, G.D","venue":null,"work_id":"b2f865b9-0e88-444d-b259-e9de277e4a02","year":2019},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.142724Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:8bd2a819bcb9ac73ed277952881e02d9d99a3b2d47821960b6501da1e5421510","observation_id":"3f3a30c2-1099-4529-ad69-d73524b192a8","resolution":{"observed_at":"2026-08-11T15:58:43.455425Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:17.146086Z","title":"Future food-production systems: vertical farming and controlled-environment agriculture.Sustainability: Science, Practice and Policy, 13(1):13–26,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.146086Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:9f9db9e273f5fae619e669c27e6d748d791b036b03758826bd0dfcf29759d64e","observation_id":"de32b018-07b5-451c-99b9-17f7ebbd179d","resolution":{"observed_at":"2026-08-11T15:55:17.146086Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1111/tpj.13425","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:58:43.393190Z","title":"High- throughput physiological phenotyping and screening system for the characterization of plant– environment interactions.The Plant Journal, 89(4):839–850, 2017","venue":null,"work_id":"041fad8b-7096-46fe-b0e8-cddddbc481ed","year":2017},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.152340Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:d7479d1ec19f06d6835b5ea5249dec663f834596a33924345241dfc4072906d6","observation_id":"c1e0ddee-1642-4e3f-b895-61cccd6bf148","resolution":{"observed_at":"2026-08-11T15:58:43.397742Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.pbi.2019.11.004","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:58:43.378546Z","title":"Innovations in plant genetics adapting agriculture to climate change.Current Opinion in Plant Biology, 56:168–173, 2020","venue":null,"work_id":"a3b34d21-ba36-488b-81c6-babfca540e95","year":2020},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.155845Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:ac1b7d7052613fd0a187829e39335fa334f7a0064c4ed420432d9b678a1f1846","observation_id":"203ff21c-7d96-47d8-a5d2-55f44bb3fdd5","resolution":{"observed_at":"2026-08-11T15:58:43.383351Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s00122-021-03892-1","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:58:43.364290Z","title":"Opportunities and limits of controlled-environment plant phenotyping for climate response traits.Theoretical and Applied Genetics, 135(1):1–16, 2022","venue":null,"work_id":"7fb88aed-1447-4ec2-ab23-a105192aaf25","year":2022},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.159333Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:c761491db01c702df8b254b256ecb1e1e3ef70da6472a3d1bf4d341bd6ee4761","observation_id":"c271da75-9bf1-44ff-bc6c-c0281c64ca47","resolution":{"observed_at":"2026-08-11T15:58:43.369436Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/agronomy13030858","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:58:43.350218Z","title":null,"venue":null,"work_id":"f23be8c5-9fea-416e-a1f9-52ad0fd13ec8","year":2023},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.162382Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:4d920f4ea07c62537b8406b0f68065c480b55b65b160d3bfb63552a38a8a5a27","observation_id":"66211ea1-1da5-464a-abc4-9565c28ac348","resolution":{"observed_at":"2026-08-11T15:58:43.355176Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:17.165438Z","title":"Hassan, Mukesh Kumar Awasthi, Babu Gajendran, Monika Sharma, Min-Kyu Ji, and El-Sayed Salama","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.165438Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:ddf8bd29a4f1d83e2eaf372552878ca4a9cdd69b93a78bf1fe2a68a15a6d66a1","observation_id":"065a7585-287a-4357-9a14-a09df31891fb","resolution":{"observed_at":"2026-08-11T15:55:17.165438Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.plaphy.2022.12.017","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:58:43.335515Z","title":"Tran, Alexandra Burgess, Ian Fisk, Michelle Watt, Marc Escrib´ a-Gelonch, Herve This, John Culton, and Volker Hes- sel","venue":null,"work_id":"959534fe-b097-487b-96f8-4058749c9c28","year":2023},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.168273Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:69ca3f6ce11a7fe52c2641de6aad7f562092a561d64fbfdf23c5cd88fcfa1e73","observation_id":"9f451ef4-481f-4743-95b8-a4a4754ffe4a","resolution":{"observed_at":"2026-08-11T15:58:43.340534Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:17.171102Z","title":"Lefers, Mark Tester, and Kyle J","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.171102Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:7e21ef1c0dc67392e0a98f1a7cb83d363ce106ae981760a172cfc115f9f58131","observation_id":"8ec8c6d5-a0c1-472c-a072-cd2a72552ff4","resolution":{"observed_at":"2026-08-11T15:55:17.171102Z","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":"2026-08-11T15:55:17.173761Z","title":"Biomass production of the eden iss space greenhouse in antarctica during the 2018 experiment phase","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.173761Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:88859bdf7a85521d75c3c8f26e9a1fde8f01084ebcef53d8714adb2f087502ca","observation_id":"6a4f71e1-1eae-46ee-a3f2-3ccda36d8ef0","resolution":{"observed_at":"2026-08-11T15:55:17.173761Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1111/tpj.14722","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:58:43.304986Z","title":"Long, Jonathan P","venue":null,"work_id":"3abdd7da-365f-458d-91be-d21e6e89b5a4","year":2020},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.176560Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:b93470a95e6d42c2d87b59b2c349e4346d4a4172b8692d0aea356abe177306b0","observation_id":"0c47d61d-956c-4179-82c2-66febde8766e","resolution":{"observed_at":"2026-08-11T15:58:43.325495Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/jxb/erv345","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:58:43.225527Z","title":"Großkinsky, Jesper Svensgaard, Svend Christensen, and Thomas Roitsch","venue":null,"work_id":"433cfce8-a2d8-4a01-837b-c6752f2bc511","year":2015},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.179924Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:a0cc2a863c8f039dbbf68e21742a9449731492328c01dc411f226f4539198fcc","observation_id":"b9d2e0bc-6f60-43bc-9078-c09cf3ff3fb2","resolution":{"observed_at":"2026-08-11T15:58:43.259784Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.fcr.2012.04.003","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:58:43.137568Z","title":"White, Pedro Andrade-Sanchez, Michael A","venue":null,"work_id":"f5a75729-8468-40af-a139-d7c259149123","year":2012},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.183333Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:cd0a880aaa5a22a0bd0b9d190d36ccc4a2a1f399c222ea0d21169ae00871e8e5","observation_id":"5779f862-fad9-441e-8734-7f88dfa9f009","resolution":{"observed_at":"2026-08-11T15:58:43.168760Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.34133/2021/9871989","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:58:43.100335Z","title":"Deery and Hamlyn G","venue":null,"work_id":"574ded87-e63b-4121-af7b-cf980c5a79a1","year":2021},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.186917Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:9c810b27a1b67df6a486034783ca62565952872206c000c92d01a3bad44e85e2","observation_id":"aac1898b-f958-46f0-bee6-0ecd7e61b601","resolution":{"observed_at":"2026-08-11T15:58:43.105026Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1111/nph.15817","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:58:43.086026Z","title":"Furbank, Jose A","venue":null,"work_id":"f743834d-fc1b-41e8-9078-e1b2d4e017ab","year":2019},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.190717Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:a434b8d90f1858d5475ff55783751bca4e7b354cc7e659dd5abf40a9d9d0285f","observation_id":"5f83d992-2887-4932-9a9b-9264321aa6d5","resolution":{"observed_at":"2026-08-11T15:58:43.090922Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.tplants.2013.09.008","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:58:43.071358Z","title":null,"venue":null,"work_id":"f695fdde-6393-4316-88f1-c52d938a7b45","year":2014},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.194247Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:b7d59bdfcce497f7e43aef2d1155223beb835da8d902b29577e0632a468a83fc","observation_id":"c9ad346b-85be-428e-b6b6-d82fed8612fb","resolution":{"observed_at":"2026-08-11T15:58:43.075793Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:17.197908Z","title":"A controlled environment agriculture with hydroponics: variants, parameters, methodologies and challenges for smart farming","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.197908Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:424b79e7cdc346fe62ac6b40b2e8492e871a32c0cd4c035ed62000f4ed456560","observation_id":"6080ca48-6561-4d8f-b8df-9a60ab189f80","resolution":{"observed_at":"2026-08-11T15:55:17.197908Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1002/9781119874157.ch8","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:03:20.376878Z","title":null,"venue":"Plant breeding reviews","work_id":"4e906703-fc0f-465d-9d58-a76a91097b8a","year":2022},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.202220Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:6c6c95ceaa3d7a7d6bc0cd8bb0d54ca42478dcc0068d0492d2bf8732d9cf703a","observation_id":"d06d1b45-a680-4496-8918-a83746f84956","resolution":{"observed_at":"2026-08-11T15:58:43.061499Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.eja.2018.01.007","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:58:43.041216Z","title":"Messina, F","venue":null,"work_id":"d0189bb2-20bd-489a-aab5-d14b5ff7fa5a","year":2018},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.205837Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:ca1267b6eb1e466ef2a6f48a8ad3d814ac2ca788bf798c2b40ccf63411a74dcd","observation_id":"7af59e28-a626-40c5-9547-f6a8d91cd497","resolution":{"observed_at":"2026-08-11T15:58:43.046107Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:17.209825Z","title":"Genotype x environment x man- agement (gem) reciprocity and crop productivity.Frontiers in Agronomy, 4:800365, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.209825Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:cff83a9b3261eb7c343dcf210b19811b3e1ae703286e433aabdf24517ef811ed","observation_id":"05eb7f3b-800c-4ef1-b110-bf0f8540d68d","resolution":{"observed_at":"2026-08-11T15:55:17.209825Z","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":"2026-08-11T15:55:17.213353Z","title":"Brukhin and N","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.213353Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:2c8ef2eefc4b54e0df8a197b877fe716161c2f0de4110f82989b12a25a0318b8","observation_id":"66dd0aab-0a85-4031-ba0c-178ae5f90d6c","resolution":{"observed_at":"2026-08-11T15:55:17.213353Z","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":"2026-08-11T15:55:17.216893Z","title":"Plant development","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.216893Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:7d41e78632de0d121a01565e1e0aa66ecdbac3f2e3c17191968af58696b675c0","observation_id":"16de3e73-5fa0-4990-aa6b-4af3042a0a8c","resolution":{"observed_at":"2026-08-11T15:55:17.216893Z","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":"2026-08-11T15:55:17.220648Z","title":"Future scenarios for plant phenotyping.Annual Review of Plant Biology, 64(Volume 64, 2013):267–291, 2013","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.220648Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:35a45b0389eb12eb445ee857430ffbb8444279c0021ed9c069cc6cd831029d09","observation_id":"1d0b82c2-7f74-4a53-80db-3371af517e13","resolution":{"observed_at":"2026-08-11T15:55:17.220648Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1201/9781315276021","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:58:43.016036Z","title":"Chapman and Hall/CRC, 2006","venue":null,"work_id":"b276b170-5c7c-4e38-9763-3f29cef7ba21","year":2006},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.224282Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:b740695f273c4fb5975102484aa1e6951c331593dad89176bf57f7f89505f854","observation_id":"b5848ddb-9432-4a9e-8419-7f3987c62cb3","resolution":{"observed_at":"2026-08-11T15:58:43.020806Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1201/9781003073116","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:58:43.000710Z","title":"CRC Press, 1989","venue":null,"work_id":"9fac4fb5-1bef-4334-a3d1-1dd53da79c53","year":1989},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.227517Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:725400582c863a2113bd45aa61f7a2297c87bbcb3739c4a472d755d680f61046","observation_id":"9c8d720e-5a59-4f07-b796-224ad3daae69","resolution":{"observed_at":"2026-08-11T15:58:43.005663Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/bdcc5010002","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:58:42.985016Z","title":"Forecasting plant and crop disease: An explo- rative study on current algorithms.Big Data and Cognitive Computing, 5(1), 2021","venue":null,"work_id":"803248eb-465a-408b-81f6-eb74c664e81d","year":2021},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.230587Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:f262d26e32ff11e20da0b1a2638eb966b2d569e270889b2c9535875b6e5927a3","observation_id":"5f530d1b-c484-4c55-bef2-d2c222b677d6","resolution":{"observed_at":"2026-08-11T15:58:42.989949Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/bs.agron.2015.11.004","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:58:42.971229Z","title":null,"venue":null,"work_id":"9c5597c4-be69-4659-945d-33cff48308b9","year":2016},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.233785Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:884be041ef585e6e26376b2bfad8c0c0e20de84a20ff5631b360e52a8508d32f","observation_id":"6aff176f-b9aa-4e97-ada3-897e19057abc","resolution":{"observed_at":"2026-08-11T15:58:42.975817Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/s1161-0301(02)00107-7","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:58:42.868272Z","title":"The dssat cropping system model.European Journal of Agronomy, 18(3):235–265, 2003","venue":null,"work_id":"a7e10829-9a35-43ca-a007-98ce73d8bb37","year":2003},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.236939Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:cc3483147bd29abd04215dbb09eb36f3ea6c4fdbb00f46af75e1eda384044ec0","observation_id":"89782872-3d33-4335-bce2-5e8456c21da0","resolution":{"observed_at":"2026-08-11T15:58:42.949118Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.rsci.2023.03.010","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:58:42.824229Z","title":"Assessment of climate change impact on water re- quirement and rice productivity.Rice Science, 30(4):276–293, 2023","venue":null,"work_id":"2cf0b761-671a-4b43-ae14-f980b9856f3c","year":2023},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.239884Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:2e69fe2848866c6d1c0bed0f5857f23b22b779d790e144c8a05e76c2d3a36c80","observation_id":"ff7c42c5-17a8-4464-9916-994bf3b873b1","resolution":{"observed_at":"2026-08-11T15:58:42.832401Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1017/s026357470426043x","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:58:42.810220Z","title":"Cambridge univer- sity press, 2003","venue":null,"work_id":"21d448f8-74a3-4e56-861e-90f4d10ea47f","year":2003},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.243082Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:dae73e06927e509204bba1f419759a073c4045624f1581b99aab0cb0a49f9cb3","observation_id":"285b4c16-1e48-4c5f-ad6a-b791fb8f7027","resolution":{"observed_at":"2026-08-11T15:58:42.814383Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:17.246369Z","title":"Chapman and Hall/CRC, 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.246369Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:43562031ba1719f7a9f424515dfcc4a05f97bedcdcde47a1db9267dedb417f90","observation_id":"4962dd4d-4481-411e-a20a-180829a1f127","resolution":{"observed_at":"2026-08-11T15:55:17.246369Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1186/s13007-015-0056-8","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:58:42.786811Z","title":"Plant phenotyping: from bean weighing to image analysis.Plant methods, 11:1–11, 2015","venue":null,"work_id":"45f2eced-4f6c-4ebd-8b7d-c648eda13057","year":2015},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.249312Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:d27f91a39b1a95ac37ec1251ad84f03a2d5f1c08368aaca044ab4fdd65409d7b","observation_id":"0cf66dc1-6e52-42af-88e7-db120d001cfc","resolution":{"observed_at":"2026-08-11T15:58:42.791672Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:17.252274Z","title":"High-throughput plant phenotyping platform (ht3p) as a novel tool for estimating agronomic traits from the lab to the field.Frontiers in Bioengineering and Biotechnology, 8,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.252274Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:2d8acc6bcbddf30b764251d2bd5bcf2b604891156f24c137778fb052af56fb4a","observation_id":"25710cf6-3d68-48b1-80e8-501cfc080e0d","resolution":{"observed_at":"2026-08-11T15:55:17.252274Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.tplants.2021.12.003","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:58:42.771244Z","title":"Applications of hyperspectral imaging in plant phenotyping.Trends in plant science, 27(3):301–315, 2022","venue":null,"work_id":"ce1246ab-2424-4a13-a5d2-50df678c4d00","year":2022},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.257966Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:42c8b322e22c7757c31b4c72a3496d27df047e42553c13068e40b29b33b8e069","observation_id":"58d6a418-cdb9-4947-9117-1e13266e36d6","resolution":{"observed_at":"2026-08-11T15:58:42.776749Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:17.260636Z","title":"Forero, Harold F","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.260636Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:ee10cb64a29a5fb9b0cb3016628554f2a72e3b0a1c89fa5d89fa9ce92ea85c76","observation_id":"6ef6b39a-4691-4458-8b2c-6f8c862c662b","resolution":{"observed_at":"2026-08-11T15:55:17.260636Z","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":"2026-08-11T15:55:17.268743Z","title":"Thermal imaging: The digital eye facilitates high-throughput phenotyping traits of plant growth and stress responses.Science of The Total Environment, 899:165626, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.268743Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:78854b9cda335b4d457f512ddc915d6348401e4292130610dbf90bb81addd50c","observation_id":"55ca69e6-9eb5-414b-8c11-fa2567b8a494","resolution":{"observed_at":"2026-08-11T15:55:17.268743Z","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":"2026-08-11T15:55:17.272573Z","title":"Leveraging image analysis for high- throughput plant phenotyping.Frontiers in Plant Science, 10, 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.272573Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:2aba915f937a40afd99559a6581ffb953cbebf7b9de0641e161b7d2bf9d16b9f","observation_id":"ed9e3448-0258-49e6-bacd-c15bc5e123a7","resolution":{"observed_at":"2026-08-11T15:55:17.272573Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/jxb/erz406","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:18.472122Z","title":"All roads lead to growth: imaging-based and biochemical methods to measure plant growth.Journal of Experimental Botany, 71(1):11–21, 09 2019","venue":null,"work_id":"8ab0877d-57e5-46e3-86a3-2d54d667eb61","year":2019},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.276088Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:79d13f515ba81d252c8e73f0021e4dd73dd3236f689e72deb57eee0056c27c15","observation_id":"fb88016d-21f9-4b83-96b5-892f6a91f702","resolution":{"observed_at":"2026-08-11T15:55:18.475441Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.tplants.2015.10.015","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:18.460394Z","title":"Ma- chine learning for high-throughput stress phenotyping in plants.Trends in plant science, 21 (2):110–124, 2016","venue":null,"work_id":"35d686c3-e1f6-4af4-9fe8-af2c34fb62be","year":2016},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.279315Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:d39c680f3c391640dc2676914096493f941431407dcb4e2f998756906e10efa6","observation_id":"03d0e213-c019-46f3-ab58-ad7fa0a3dd13","resolution":{"observed_at":"2026-08-11T15:55:18.464558Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.isprsjprs.2019.12.011","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:18.449411Z","title":"Chee, Andrew H","venue":null,"work_id":"6673b7e1-1362-4d7d-81db-86be2bf19185","year":2020},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.282817Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:16f8e7ea1dff038916c8faf5b2ff9856fd2da488ff752249c37b9d8cb36cb0b8","observation_id":"a6e1aa06-a3f9-4b55-b953-d0e7885f72f9","resolution":{"observed_at":"2026-08-11T15:55:18.453129Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/agriculture13071321","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:18.438762Z","title":"Soybean-mvs: Annotated three-dimensional model dataset of whole growth pe- riod soybeans for 3d plant organ segmentation.Agriculture, 13(7), 2023","venue":null,"work_id":"ada9799e-82e1-43f8-aed6-b79d89ef0c0f","year":2023},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.286449Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:424dddc875d9a02ea6765f9b6b844dad0214534e42e178401b4ad22f366835d4","observation_id":"3b287a81-305b-4889-b8f4-ecda6f825176","resolution":{"observed_at":"2026-08-11T15:55:18.442451Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:17.290022Z","title":"Pheno4d: A spatio-temporal dataset of maize and tomato plant point clouds for phenotyping and advanced plant analysis.PLOS ONE, 16(8):1–18, 08 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.290022Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:3e9b76e8fb79a43ec5667633e9b96c715fcfbbbab0ca2bbdcfadb22e85b1800b","observation_id":"a9ebd2f7-e425-41b5-99c8-4d48d5fd31d9","resolution":{"observed_at":"2026-08-11T15:55:17.290022Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.34133/2020/2073723","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:18.422150Z","title":"Topp, and Saket Navlakha","venue":null,"work_id":"a961ab1c-7918-48c2-a395-5cccc994dbdd","year":2020},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.293437Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:f10383ec775fc93c2f4f2e002143e70671bcf086c0d2dd4573521a3b5b50be50","observation_id":"ac343aac-2074-4225-9a0a-447f4f05fe7e","resolution":{"observed_at":"2026-08-11T15:55:18.425822Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1109/iccvw.2017.239","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:18.410724Z","title":"An easy-to-setup 3d phenotyping platform for komatsuna dataset","venue":null,"work_id":"1be6d2d3-6434-4542-9610-1a881071f506","year":2017},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.296913Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:6a002231c6a8fc066c65214bb8166f75fa6063c2dee7d083995f4f74e6fd3350","observation_id":"3b66e41b-e650-45c3-b502-44cf774f9b0b","resolution":{"observed_at":"2026-08-11T15:55:18.414042Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:17.300780Z","title":"Pc4c capsi: Image data of capsicum plant growth in protected horticulture.Data in Brief, 55: 110735, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.300780Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:427929aa0f2ef8e07bc0b1a65fd96fcd4b84f99877fba4d7a22fccdd1cc7675d","observation_id":"1a9e3a5e-fab5-4f94-946a-cee0cada5ed7","resolution":{"observed_at":"2026-08-11T15:55:17.300780Z","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":"2026-08-11T15:55:17.304297Z","title":"Shadrin, Victor Kulikov, and Maxim V","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.304297Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:040f307ba2a4ab31d55b45214dbbe7aa9c3c899a45c7f73ff026ee21ae94055b","observation_id":"241e5cbf-be89-409c-b257-afb4c5109896","resolution":{"observed_at":"2026-08-11T15:55:17.304297Z","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":"2026-08-11T15:55:17.307909Z","title":"Manually annotated and curated dataset of diverse weed species in maize and sorghum for computer vision.Scientific Data, 11(1):109, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.307909Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:a96eae17b2d605f4ca41926af527f88cc7f085fac079d047ef74d8c345835675","observation_id":"ddfc14bf-7fb2-4f1e-a710-25236fc36bc0","resolution":{"observed_at":"2026-08-11T15:55:17.307909Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:17.311005Z","title":"Dimech, Sameer Joshi, Hans D","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.311005Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:55f8030ff2af5feb1170884bd9eb11b58795e4f5ddce30623bee8dc74abce1da","observation_id":"fb77bb05-af97-467b-a0be-956a387ab0b8","resolution":{"observed_at":"2026-08-11T15:55:17.311005Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41597-023-02570-9","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:18.395134Z","title":"Multi-year belowground data of minirhizotron facilities in selhausen.Scientific Data, 10(1): 672, 2023","venue":null,"work_id":"92d09b83-a26e-4157-b6b3-eae56ced30ac","year":2023},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.317238Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:90f76eda99db34755b08b43c15a9ce756d7cdbe02a3b237317087cb661ce281c","observation_id":"e125f9bc-90ff-4209-8c62-5a95776ac995","resolution":{"observed_at":"2026-08-11T15:55:18.398037Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.5194/essd-13-3593-2021","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:18.384968Z","title":null,"venue":null,"work_id":"6dd9cde5-342d-4f34-b9f7-92695a70d2a7","year":2021},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.320180Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:097dee5083ac65468ce3a793e182c81bc8f3ce06e8614ba2e6b4934143424814","observation_id":"c6c0f52e-67df-4f0d-bd8c-cae3532a532f","resolution":{"observed_at":"2026-08-11T15:55:18.388470Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1186/s13104-022-06029-9","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:18.374695Z","title":"Hyperspectral time series datasets of maize during the grain filling period.BMC Research Notes, 15(1):152, 2022","venue":null,"work_id":"3be81114-d4b5-4c75-bb76-9c883e9e58d4","year":2022},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.323489Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:a9ee37d48f91b135c4464220014cf99ebae7ec68928a50fe657549194253c128","observation_id":"45b6a849-7c30-4190-93ce-5b0b22463560","resolution":{"observed_at":"2026-08-11T15:55:18.378402Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.dib.2018.01.065","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:18.363771Z","title":"The ’plantain-optim’ dataset: Agronomic traits of 405 plantains every 15 days from planting to harvest.Data in Brief, 17:671–680, 2018","venue":null,"work_id":"eb86cd9f-1c42-403a-a427-f2cbe1dcdeab","year":2018},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.326572Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:3c21a6ed048dcfa59aad994912531aa486ad3147fb531db5bdba072ab575187e","observation_id":"b09c03fe-07ac-4841-94bc-0f6ba4641aa9","resolution":{"observed_at":"2026-08-11T15:55:18.367755Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:17.329396Z","title":"Experimental dataset of sugarcane-cover crop intercropping trials to control weeds in reunion island.Data in Brief, 48:109244, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.329396Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:0ad03a294cbf8336e55a29f56194b36ffb9aff22703d0a563f88dcd2405f42ed","observation_id":"1c85badd-c2ba-4343-9a92-25b9ffdc1b8b","resolution":{"observed_at":"2026-08-11T15:55:17.329396Z","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":"2026-08-11T15:55:17.332183Z","title":"A multiple species, continent-wide, million- phenotype agronomic plant dataset.Scientific data, 8(1):116, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.332183Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:03597547d7754a22cb7f0ca5d3ddbc5df87642a96119cbf4f12f1b3bcc7081a8","observation_id":"d4e23f5c-b695-485b-b80e-7f8f1b564b13","resolution":{"observed_at":"2026-08-11T15:55:17.332183Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:17.334819Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.334819Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:318f80bf8fe85099b70f4f933b734fedcf83d1fa42fe60cc8593532b7bb9c321","observation_id":"3a371676-673b-490e-a2a2-591e9810e916","resolution":{"observed_at":"2026-08-11T15:55:17.334819Z","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":"2026-08-11T15:55:17.340372Z","title":"Dataset of photosynthesis and pho- tosynthetic factors measurements of greenhouse tomato.Data in Brief, 32:106274, 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.340372Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:f238030f9cac397fd298c27825ae467ed5bc206d30a84cfdc16bc9951e16f588","observation_id":"acecc3fd-54cb-47cf-8d8a-272c3f934cc0","resolution":{"observed_at":"2026-08-11T15:55:17.340372Z","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":"2026-08-11T15:55:17.343673Z","title":null,"venue":null,"work_id":null,"year":1985},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.343673Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:1b128d413a1dd81d15ff6e0f982bd09a005869d8c4fcde2fab12a87f083062ba","observation_id":"b49ecac2-ff21-43cd-9fcf-2b71e3398383","resolution":{"observed_at":"2026-08-11T15:55:17.343673Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.5194/essd-16-277-2024","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:18.335333Z","title":null,"venue":null,"work_id":"6278b63f-e109-49be-9d8b-d277c83b75e7","year":1951},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.350637Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:ceec36047387fdd76ff6df6bbba1c4b23f0c68316b3c71b7705c677c9970f567","observation_id":"d5e4dc6d-e8aa-4d5e-8038-f388af5c74fe","resolution":{"observed_at":"2026-08-11T15:55:18.338989Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41597-020-00678-w","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:18.324635Z","title":"Proteomic and tran- scriptomic profiling of aerial organ development in arabidopsis.Scientific Data, 7(1):334, 2020","venue":null,"work_id":"a325e91e-d358-421f-ba70-d7ac81d6e394","year":2020},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.354392Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:8ea00c083c79189ca7052218c68307ce1dc280561128575b66027ceb8a072018","observation_id":"d8aee5ff-e05e-4bfc-8ba8-0d247f26e0ee","resolution":{"observed_at":"2026-08-11T15:55:18.329053Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:17.337562Z","title":"doi:10.1016/j.dib.2021.107600","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.337562Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:64c6afc529dee101efe632eac8e6b806f83fd588c751f2c5461610ac647e3f35","observation_id":"a1db2dda-8ab9-4b5d-a534-c13a0a972292","resolution":{"observed_at":"2026-08-11T15:55:17.337562Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41597-024-03205-3","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:18.314732Z","title":"Transcriptome profiling of aerial and subterranean peanut pod development","venue":null,"work_id":"2eae681e-75eb-4599-9aec-54f6add14391","year":2024},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.361124Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:8ec4c575e580d610ec1623705b4274028444767753e3d3284c2f0c08ffec54b2","observation_id":"710a61ed-0d35-4a3b-9b21-e412ce81df45","resolution":{"observed_at":"2026-08-11T15:55:18.318247Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.compag.2016.07.028","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:18.305989Z","title":"Schnable","venue":null,"work_id":"df79bb64-6783-469b-b17e-1a32069b7610","year":2016},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.364620Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:22c11de8614168d5ef70812323cb02f9c74c86f559a6c76626b620c2ca782a48","observation_id":"ebedcc35-14df-45f2-ab0d-4991e5315e46","resolution":{"observed_at":"2026-08-11T15:55:18.308814Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1002/ppj2.20064","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:03:20.376878Z","title":"Anche, Nicholas Morales, Nicholas S","venue":"The Plant Phenome Journal","work_id":"2910b1b6-7258-4ee3-97c0-d172b036f06c","year":2023},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.368844Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:381499b8df3ab90c5cd09279af2330959502d5beab1c4da0e3cede13cbc9448b","observation_id":"3e440dea-320b-442f-92de-42274d08f0a9","resolution":{"observed_at":"2026-08-11T15:55:18.299816Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s00122-020-03637-6","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:18.286500Z","title":"Temporal covariance structure of multi-spectral phe- notypes and their predictive ability for end-of-season traits in maize.Theoretical and Applied Genetics, 133:2853–2868, 2020","venue":null,"work_id":"1bb1dde6-ecee-4150-8fe1-10dd6c5b7697","year":2020},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.372379Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:e0c31436ea8da830347d3653c0a12d4a025b806476f5302feb3dbb232c0399d5","observation_id":"a7a5a4eb-722a-4517-acd0-87e663e96b24","resolution":{"observed_at":"2026-08-11T15:55:18.290478Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:17.375776Z","title":"In-field high throughput phenotyping and cotton plant growth analysis using lidar.Frontiers in Plant Science, 9:16, 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.375776Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:5e2d64bb8fb4aef559cfeaf3b55dd8d1aaf20b66ba9e0244ebb4ce5a6d4c0ce6","observation_id":"7717a795-9666-4c10-842d-32b411be5493","resolution":{"observed_at":"2026-08-11T15:55:17.375776Z","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":"2026-08-11T15:55:17.357889Z","title":"Castro, J","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.357889Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:cf6177f969b9d951b1e61d8c44e7e91327dc8f984ca5d21b266c71da5d0e0c0d","observation_id":"0a77d9ab-17ce-49dc-ab59-5d21865367d4","resolution":{"observed_at":"2026-08-11T15:55:17.357889Z","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":"2026-08-11T15:55:17.382785Z","title":"Durbha, Ryokei Tanaka, Hiroyoshi Iwata, Milan O","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.382785Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:21eb210306dbd9b8dc78c3b10cd6961722cf155c28322137ab0121bf836197e9","observation_id":"78dcb2e4-28c7-489c-a07e-d891f71a6a5b","resolution":{"observed_at":"2026-08-11T15:55:17.382785Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1534/g3.119.400346","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:18.264692Z","title":null,"venue":null,"work_id":"0b6fd3f6-824c-4294-8318-3486ae950c6a","year":2019},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.385555Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:a95ffdfc48711c2419e1491bb7ff4da2a4a58e67a0a2608f43b0e1be5c447109","observation_id":"2d4982db-2e27-44b4-b38d-03029df68ad8","resolution":{"observed_at":"2026-08-11T15:55:18.268766Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1534/g3.115.023515","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:18.253945Z","title":null,"venue":null,"work_id":"35119452-883e-4ca3-b043-7b27b97a541b","year":2016},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.388460Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:7e68e23f8fa65eb1d28ed6e73e4721f7c3babd894944f3d5d2d8ca6d8b285227","observation_id":"bb4388cf-1e22-4373-bfce-8279d9788f1b","resolution":{"observed_at":"2026-08-11T15:55:18.257729Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:17.391244Z","title":"Campbell, Harkamal Walia, and Gota Morota","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.391244Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:aa635c41d1982919460b7632f71760582073be5db0bcf98197f12dc74c0fd041","observation_id":"f5439764-90f3-46bb-8f39-69a9abd1d116","resolution":{"observed_at":"2026-08-11T15:55:17.391244Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/genetics/iyae037","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:18.231729Z","title":"Spatio-temporal modeling of high-throughput multispectral aerial images improves agronomic trait genomic prediction in hybrid maize.Genetics, 227(1): iyae037, 03 2024","venue":null,"work_id":"ea83c6d1-4298-47cc-9393-150566f4051c","year":2024},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.397229Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:7c3b4a10230fd17c8ad2db3330238df7770f199b93c16229ab33bc1289ca2488","observation_id":"fd98dfd8-6c27-4433-8cd8-26f0abfe54dc","resolution":{"observed_at":"2026-08-11T15:55:18.235602Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41598-022-06935-9","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:18.275259Z","title":"P´ erez-Valencia, Mar ´ ıa Xos´ e Rodr ´ ıguez-´Alvarez, Martin P","venue":null,"work_id":"700d8c23-1e91-443a-939b-755bd7c7d412","year":2022},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.379507Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:99deee8c91d3ca65e9958a2512505ba22779abb14d9d8d35c9b16878ecb4d72d","observation_id":"0219999e-71aa-47a3-83b8-304a78e60a91","resolution":{"observed_at":"2026-08-11T15:55:18.279447Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:17.403160Z","title":"A one-stage approach for the spatio-temporal analysis of high-throughput phe- notyping data.Journal of Agricultural, Biological and Environmental Statistics, pages 1–23,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.403160Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:bd92b6c67529033d42e3739f03e1fc363340e728c96e76db3614897783e1840e","observation_id":"18dafb7d-f2cb-4dce-a0c2-27c090f564a9","resolution":{"observed_at":"2026-08-11T15:55:17.403160Z","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":"2026-08-11T15:55:17.408682Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.408682Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:5935bc49b5076c8e0363f5b434dbfbd2331a0258d1a67a316e9ad4bb6215f307","observation_id":"a2f1ae20-d136-4095-8467-7ee6b747e645","resolution":{"observed_at":"2026-08-11T15:55:17.408682Z","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":"2026-08-11T15:55:17.412195Z","title":"Spatial regression models for field trials: a comparative study and new ideas.Frontiers in plant science, 13:858711, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.412195Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:3ad726b05ef6e74fa6cad16e6f2944b1f9bab0325272a0c8f57a20b801bfcd8d","observation_id":"dcd8e3a0-a151-4c8d-9092-8098c18bce91","resolution":{"observed_at":"2026-08-11T15:55:17.412195Z","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":"2026-08-11T15:55:17.415747Z","title":"Collinearity: a review of methods to deal with it and a simulation study evaluating their performance.Ecography, 36(1):27–46, 2013","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.415747Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:be36a7bb82c6e82a0abf038c0f9ae82204dedbe83a6c0449b8f8a1e06da9072d","observation_id":"19aed200-c950-4416-8c50-46983b2b5d3e","resolution":{"observed_at":"2026-08-11T15:55:17.415747Z","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":"2026-08-11T15:55:17.419154Z","title":"What you see may not be what you get: a brief, nontechnical introduction to overfitting in regression-type models.Biopsychosocial Science and Medicine, 66(3):411–421,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.419154Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:72dc75ef8b675c5c8402d75633eb7ef37912ee88e3bc45ae0d31c954b576f462","observation_id":"7765bece-6e51-472a-a6f0-f00ae44a209a","resolution":{"observed_at":"2026-08-11T15:55:17.419154Z","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":"2026-08-11T15:55:17.427494Z","title":"The temporal overfitting problem with applications in wind power curve modeling.Technometrics, 65(1):70–82, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.427494Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:c98b04d7ae5c86c239a03cea61a22ea8378a6f2739523ab3bca0ccbd4583efde","observation_id":"95d251eb-83a1-4f68-abee-8a7e04d12e07","resolution":{"observed_at":"2026-08-11T15:55:17.427494Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1534/g3.117.300350","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:18.220367Z","title":"Mapping and Predicting Non-Linear Brassica rapa Growth Phenotypes Based on Bayesian and Frequentist Complex Trait Es- timation.G3 Genes—Genomes—Genetics, 8(4):1247–1258, 04 2018","venue":null,"work_id":"b1bd3588-2acc-4b02-84cb-2e9e1c7f83d2","year":2018},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.400306Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:8d454ba0592a4238498b068b4f2d50f568aab32bb89b7294c493f6c616a929f6","observation_id":"af8f9425-0286-4e32-afdb-a58414276b28","resolution":{"observed_at":"2026-08-11T15:55:18.224211Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1410.2597","last_updated":"2017-04-18T05:05:35Z","snapshot_observed_at":"2026-07-06T03:56:56.377384Z","submitted_at":"2014-10-09T19:53:37Z","title":"Optimal Inference After Model Selection","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1410.2597","snapshot_observed_at":"2026-08-11T15:55:17.435414Z","title":"Optimal inference after model selection","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.435414Z"},"links":{"cited_paper":"/paper/1410.2597","citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:fc2f939bcef843c0ada423c717b4efbb825cc6a89523201b614d293440741a35","observation_id":"824aab69-14a2-4e75-81c2-3508dc53d8d1","resolution":{"observed_at":"2026-08-11T15:55:17.435414Z","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":"2026-08-11T15:55:17.439632Z","title":"Universally sloppy parameter sensitivities in systems biology models.PLoS computational biology, 3(10):e189, 2007","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.439632Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:3aea1d2460a5087bcbb62c10b3ba44c0382d5dc84f5f50e117c079b8afe49162","observation_id":"23c15740-53e1-4733-8022-33941656aae8","resolution":{"observed_at":"2026-08-11T15:55:17.439632Z","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":"2026-08-11T15:55:17.443377Z","title":"Springer, 2000","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.443377Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:107f975973d3f6c5356fa9773320e40a55ca6cdfa531d9f1de2cec0f4f2af957","observation_id":"60a7cb81-3cf5-470c-96e6-5e7a584ebecc","resolution":{"observed_at":"2026-08-11T15:55:17.443377Z","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":"2026-08-11T15:55:17.446855Z","title":"Plant growth prediction through intelligent embedded sensing","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.446855Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:b6d817d6edc4c898ba03c71aec359d83a8f02758c460c4002c57271512e80168","observation_id":"ee8779b5-d34e-4eeb-9484-4c42e1972b2c","resolution":{"observed_at":"2026-08-11T15:55:17.446855Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/g3journal/jkae092","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:18.166713Z","title":null,"venue":null,"work_id":"00fb052d-805a-419c-bdc0-f4bbe3206a68","year":2024},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.450152Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:25c902afc5ca881b3d4e332b44421fbde92c3ca13f1896314a2fa9bd5f694727","observation_id":"2130f422-b1dd-4776-80c8-9ab052764fb2","resolution":{"observed_at":"2026-08-11T15:55:18.170394Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1002/bimj.202000315","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:03:20.376878Z","title":"Growth dynamics and heritability for plant high- throughput phenotyping studies using hierarchical functional data analysis.Biometrical Jour- nal, 63(6):1325–1341, 2021","venue":"Biometrical Journal","work_id":"665766a1-e386-4217-ad37-23ae4eebae46","year":2021},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.453400Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:65f1ffd00e4e478cd9ecf5ebc2827b8094f167702636cc07ef16d1c5941fc676","observation_id":"99d7d37c-e3f6-424f-ac72-0cc995fa5cda","resolution":{"observed_at":"2026-08-11T15:55:18.160027Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:17.456162Z","title":"Forecast evaluation for data scientists: common pitfalls and best practices.Data Mining and Knowledge Discovery, 37(2):788–832, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.456162Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:a25946fa38748557d0842d8b73f4fc13f2677436a50238e4ec41ad4b45db77ec","observation_id":"8828e86f-7907-48c6-9005-c7394c90b92f","resolution":{"observed_at":"2026-08-11T15:55:17.456162Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1017/s0021859614000392","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:18.137920Z","title":"Matsumura, C","venue":null,"work_id":"1ead0657-fa20-44b4-a1ce-3b18289d2efc","year":2015},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.459389Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:ceb8ab1a99ca279a703441033bb1095107adb6f5d5ef4c632b55539d52a9d1de","observation_id":"c6bd8120-66cf-43c9-ac25-a46401790c50","resolution":{"observed_at":"2026-08-11T15:55:18.141672Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/biomet/asx083","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:18.199759Z","title":"On overfitting and post-selection uncertainty assessments.Biometrika, 105(1):221–224, 2018","venue":null,"work_id":"bd73e48f-7675-4661-9a5a-3eac0dab4b1a","year":2018},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.430928Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:5fdb2ba322a0787fb7228e58ff66f67d79442775de97bdadd4648c79f91e5b1c","observation_id":"0579cc6d-7ca5-4f04-8b72-0f5e68eaaae2","resolution":{"observed_at":"2026-08-11T15:55:18.204373Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:17.468059Z","title":"Using deep learning to predict plant growth and yield in greenhouse environments","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.468059Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:407b069e5c9c7493277393f26d902f52b6558bbc605f50dda03da6512d783470","observation_id":"e60b3537-c093-4afb-aa2d-ceb59ee4d750","resolution":{"observed_at":"2026-08-11T15:55:17.468059Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/s21134537","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:18.116157Z","title":"Deep learning based prediction on greenhouse crop yield combined tcn and rnn.Sensors, 21(13), 2021","venue":null,"work_id":"2df8d5f5-a972-440b-b5ce-48a9ade4b553","year":2021},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.470658Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:7249ad2a1233382c68264ddbfc8fbcddc974b4d6f5870a34fb112ae50313a69e","observation_id":"fc11867e-cb5a-4b97-9241-4e3f4a1e6b04","resolution":{"observed_at":"2026-08-11T15:55:18.120097Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:17.473338Z","title":"An autoencoder wavelet based deep neural network with attention mechanism for multi-step prediction of plant growth.Information Sciences, 560:35–50, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.473338Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:70461b9c3968eb88ea09211819f9b186af7694872e76166dbccffe01633cd228","observation_id":"3a9bf758-9b9b-4851-919e-dd42cfa4f05c","resolution":{"observed_at":"2026-08-11T15:55:17.473338Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1706.03762","last_updated":"2023-08-02T00:41:18Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-06-12T17:57:34Z","title":"Attention Is All You Need","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.03762","snapshot_observed_at":"2026-08-11T15:55:17.478310Z","title":"Gomez, Lukasz Kaiser, and Illia Polosukhin","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.478310Z"},"links":{"cited_paper":"/paper/1706.03762","citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:7f7455abe8fef181361eb9414a84fead9579aa7881957051fce9ca79240d3383","observation_id":"5bef2e23-a426-4268-adb2-59ad1bdbf507","resolution":{"observed_at":"2026-08-11T15:55:17.478310Z","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":"2026-08-11T15:55:17.481506Z","title":"King, Vianey Leos-Barajas, Joanna Mills Flemming, Anders Nielsen, Giovanni Petris, and Len Thomas","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.481506Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:e8aa71741a8251b1b7d72765986fe28d84b6f3db68411ef79afe673e1007d284","observation_id":"4e626ef7-ceee-477f-b215-e7ed010896c2","resolution":{"observed_at":"2026-08-11T15:55:17.481506Z","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":"2026-08-11T15:55:17.484126Z","title":"Kalman filtering for accurate and fast plant growth dynam- ics assessment","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.484126Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:734333a928f98517334bf266d00c0972e706d570e9ff4f61368473b0991d8184","observation_id":"350cb9c5-7ac2-4d24-8b3e-14a428d4353f","resolution":{"observed_at":"2026-08-11T15:55:17.484126Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1214/21-aoas1594","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:18.082728Z","title":"Full bayesian inference in hidden markov models of plant growth.The Annals of Applied Statistics, 16(4):2352–2368, 2022","venue":null,"work_id":"48fa8482-4a81-45a1-a2e9-470cd80e817f","year":2022},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.486736Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:e02a9eeb540412d2e5762cab59ca4246767430d5dace1c1385fb0212633e5407","observation_id":"3527caa5-25e9-44d1-80b0-10f39e631ab0","resolution":{"observed_at":"2026-08-11T15:55:18.085708Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.34133/2020/4261965","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:18.074029Z","title":"Shibata, R","venue":null,"work_id":"84293eb1-90c6-4a1f-b97f-90a08e84587a","year":2020},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.490164Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:bc050316e3693d1988236f7a8b846a366d1587ccdd493ed7428f666ec97fa457","observation_id":"6e1f4864-cd27-4a63-934e-28c9084a64b9","resolution":{"observed_at":"2026-08-11T15:55:18.076755Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:17.462214Z","title":"Development of growth estimation algo- rithms for hydroponic bell peppers using recurrent neural networks.Horticulturae, 7(9):284,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.462214Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:89ac9f866e464d94dc58fcde15ce5e10c58073d0c65068de0b332a4da4f3709a","observation_id":"760c7c8e-01fb-4915-a1b5-a783e43ac7cc","resolution":{"observed_at":"2026-08-11T15:55:17.462214Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/horticulturae7090284","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:18.127178Z","title":null,"venue":null,"work_id":"da4691d2-81b9-43ae-b048-77c228a72804","year":null},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":99,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.464968Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:be962047c058650fe951d5c2e70de60c8cf6609e6bad767253c0c1121438d96b","observation_id":"4dc91c69-15af-4dce-a482-be6558a044ae","resolution":{"observed_at":"2026-08-11T15:55:18.130894Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:55:17.501435Z","title":"Toward transpar- ent ai: A survey on interpreting the inner structures of deep neural networks","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review","version":3},"reference_index":100,"source":"pdf_text","source_observed_at":"2026-08-11T15:55:17.501435Z"},"links":{"citing_paper":"/paper/2412.10538"},"observation_digest":"sha256:17f754c0264515f4560bea72a7f2db706ea6b436c3ff50ebeefaf747fcf9bc70","observation_id":"73e27395-9ab0-48a6-b6e3-572917e98660","resolution":{"observed_at":"2026-08-11T15:55:17.501435Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2412.10538","last_updated":"2025-06-25T02:56:51Z","latest_version":3,"primary_category":"q-bio.QM","snapshot_observed_at":"2026-08-11T15:49:49.670951Z","submitted_at":"2024-12-13T20:22:35Z","title":"Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":3,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":44,"verified_exact":53,"verified_fuzzy":0},"total_outbound_references":167},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 100 of 167 outbound references and 0 inbound Pith citation observations for arXiv:2412.10538."}