{"id":"https://openalex.org/W4392251506","doi":"https://doi.org/10.1109/tnnls.2024.3368561","title":"Testing Conditional Independence Between Latent Variables by Independence Residuals","display_name":"Testing Conditional Independence Between Latent Variables by Independence Residuals","publication_year":2024,"publication_date":"2024-02-28","ids":{"openalex":"https://openalex.org/W4392251506","doi":"https://doi.org/10.1109/tnnls.2024.3368561","pmid":"https://pubmed.ncbi.nlm.nih.gov/38416619"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2024.3368561","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3368561","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100619744","display_name":"Zhengming Chen","orcid":"https://orcid.org/0000-0002-3839-5269"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]},{"id":"https://openalex.org/I4210113480","display_name":"Mohamed bin Zayed University of Artificial Intelligence","ror":"https://ror.org/0258gkt32","country_code":"AE","type":"education","lineage":["https://openalex.org/I4210113480"]}],"countries":["AE","CN"],"is_corresponding":false,"raw_author_name":"Zhengming Chen","raw_affiliation_strings":["School of Computer, Guangdong University of Technology, Guangzhou, China","Machine Learning Department, Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates"],"raw_orcid":"https://orcid.org/0000-0002-3839-5269","affiliations":[{"raw_affiliation_string":"School of Computer, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]},{"raw_affiliation_string":"Machine Learning Department, Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates","institution_ids":["https://openalex.org/I4210113480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007993394","display_name":"Jie Qiao","orcid":"https://orcid.org/0000-0002-4581-9656"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Qiao","raw_affiliation_strings":["School of Computer, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4581-9656","affiliations":[{"raw_affiliation_string":"School of Computer, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046970127","display_name":"Feng Xie","orcid":"https://orcid.org/0000-0001-7229-3955"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Xie","raw_affiliation_strings":["School of Mathematics and Statistics, Beijing Technology and Business University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7229-3955","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Beijing Technology and Business University, Beijing, China","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076948208","display_name":"Ruichu Cai","orcid":"https://orcid.org/0000-0001-8972-167X"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruichu Cai","raw_affiliation_strings":["School of Computer Science, Guangdong University of Technology, Guangzhou, China","Pazhou Laboratory (Huangpu), Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8972-167X","affiliations":[{"raw_affiliation_string":"School of Computer Science, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]},{"raw_affiliation_string":"Pazhou Laboratory (Huangpu), Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101432634","display_name":"Zhifeng Hao","orcid":"https://orcid.org/0000-0002-9731-1504"},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhifeng Hao","raw_affiliation_strings":["College of Science, Shantou University, Shantou, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0002-9731-1504","affiliations":[{"raw_affiliation_string":"College of Science, Shantou University, Shantou, Guangdong, China","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023446235","display_name":"Keli Zhang","orcid":"https://orcid.org/0000-0002-7883-0552"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keli Zhang","raw_affiliation_strings":["Huawei Noah&#x2019;s Ark Lab, Huawei, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-7883-0552","affiliations":[{"raw_affiliation_string":"Huawei Noah&#x2019;s Ark Lab, Huawei, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5557,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68566572,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"36","issue":"3","first_page":"4586","last_page":"4598"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9819999933242798,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10845","display_name":"Advanced Causal Inference Techniques","score":0.9279000163078308,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.7866352796554565},{"id":"https://openalex.org/keywords/conditional-independence","display_name":"Conditional independence","score":0.6010729670524597},{"id":"https://openalex.org/keywords/local-independence","display_name":"Local independence","score":0.5918259620666504},{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.5622593760490417},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.5192328095436096},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5000231266021729},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.4770968556404114},{"id":"https://openalex.org/keywords/variables","display_name":"Variables","score":0.44880205392837524},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.4264487326145172},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.41918861865997314},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4006282091140747},{"id":"https://openalex.org/keywords/latent-variable-model","display_name":"Latent variable model","score":0.39809471368789673},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.34414029121398926},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.08979734778404236}],"concepts":[{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.7866352796554565},{"id":"https://openalex.org/C79772020","wikidata":"https://www.wikidata.org/wiki/Q5159264","display_name":"Conditional independence","level":2,"score":0.6010729670524597},{"id":"https://openalex.org/C156216132","wikidata":"https://www.wikidata.org/wiki/Q17099642","display_name":"Local independence","level":4,"score":0.5918259620666504},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.5622593760490417},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.5192328095436096},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5000231266021729},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4770968556404114},{"id":"https://openalex.org/C27574286","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Variables","level":2,"score":0.44880205392837524},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4264487326145172},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.41918861865997314},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4006282091140747},{"id":"https://openalex.org/C65965080","wikidata":"https://www.wikidata.org/wiki/Q1806885","display_name":"Latent variable model","level":3,"score":0.39809471368789673},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34414029121398926},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.08979734778404236},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2024.3368561","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3368561","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:38416619","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38416619","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.4399999976158142}],"awards":[{"id":"https://openalex.org/G1540529280","display_name":null,"funder_award_id":"62206061","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2232030736","display_name":null,"funder_award_id":"2021ZD0111501","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7721746300","display_name":null,"funder_award_id":"62306019","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8007181506","display_name":null,"funder_award_id":"62122022","funder_id":"https://openalex.org/F4320333688","funder_display_name":"National Outstanding Youth Science Fund Project of National Natural Science Foundation of China"},{"id":"https://openalex.org/G8341450228","display_name":null,"funder_award_id":"62206064","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320333688","display_name":"National Outstanding Youth Science Fund Project of National Natural Science Foundation of China","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1585303438","https://openalex.org/W1975062332","https://openalex.org/W2075308234","https://openalex.org/W2087039607","https://openalex.org/W2119471399","https://openalex.org/W2134652049","https://openalex.org/W2137099275","https://openalex.org/W2143891888","https://openalex.org/W2163687466","https://openalex.org/W2360059632","https://openalex.org/W2511396348","https://openalex.org/W2788885905","https://openalex.org/W2803113114","https://openalex.org/W2954682669","https://openalex.org/W2964132737","https://openalex.org/W2974021324","https://openalex.org/W3006419771","https://openalex.org/W3016217447","https://openalex.org/W3101832732","https://openalex.org/W3103539622","https://openalex.org/W3157189937","https://openalex.org/W4283806538","https://openalex.org/W4285151615","https://openalex.org/W4298091299","https://openalex.org/W4300263211","https://openalex.org/W4302423442","https://openalex.org/W4362601735","https://openalex.org/W4385764361","https://openalex.org/W4385848782","https://openalex.org/W4406587128","https://openalex.org/W6618771953","https://openalex.org/W6630225575","https://openalex.org/W6631552155","https://openalex.org/W6676726796","https://openalex.org/W6678041798","https://openalex.org/W6679935737","https://openalex.org/W6683167872","https://openalex.org/W6684852674","https://openalex.org/W6753118121","https://openalex.org/W6767696148","https://openalex.org/W6856204728"],"related_works":["https://openalex.org/W1535265092","https://openalex.org/W1471855","https://openalex.org/W2152343454","https://openalex.org/W3032390039","https://openalex.org/W2057436646","https://openalex.org/W1975578747","https://openalex.org/W2729953015","https://openalex.org/W2763292376","https://openalex.org/W1603253275","https://openalex.org/W2331205114"],"abstract_inverted_index":{"Conditional":[0],"independence":[1],"(CI)":[2],"testing":[3,13,85],"is":[4,34,249,280,311],"an":[5,32,95],"important":[6],"problem,":[7],"especially":[8],"in":[9,61,127],"causal":[10,125,345],"discovery.":[11],"Most":[12],"methods":[14],"assume":[15],"that":[16,307,324],"all":[17],"variables":[18,60,113,121,143],"are":[19,201,218],"fully":[20],"observable":[21],"and":[22,49,64,150,158,183,193,211,242,265,273,296,317,362],"then":[23],"test":[24,69,100,310,329,352],"the":[25,28,45,56,82,103,107,111,116,119,123,219,224,228,255,286,308,325,338,350,354,366],"CI":[26,68,86,98,355],"among":[27],"observed":[29],"data.":[30,319],"Such":[31],"assumption":[33],"often":[35],"untenable":[36],"beyond":[37],"applications":[38],"dealing":[39],"with,":[40],"e.g.,":[41],"psychological":[42],"analysis":[43],"about":[44],"mental":[46],"health":[47],"status":[48],"medical":[50],"diagnosing":[51],"(researchers":[52],"need":[53],"to":[54,114],"consider":[55],"existence":[57],"of":[58,84,110,141,223,313,337,368],"latent":[59,67,88,112,120,130,142,161,230],"these":[62],"scenarios);":[63],"typically":[65],"adopted":[66],"schemes":[70],"mainly":[71],"suffer":[72],"from":[73,254,285],"robust":[74],"or":[75],"efficient":[76],"issues.":[77],"Accordingly,":[78],"this":[79,91],"article":[80],"investigates":[81],"problem":[83],"between":[87,258,289],"variables.":[89,136],"To":[90],"end,":[92],"we":[93,322,342],"offer":[94],"auxiliary":[96],"regression-based":[97],"(AReCI)":[99],"by":[101,348],"taking":[102],"measured":[104,135,225],"variable":[105,109,131,162,226],"as":[106,333,353],"surrogate":[108],"conduct":[115],"regression":[117],"over":[118],"under":[122],"linear":[124],"models,":[126],"which":[128],"each":[129],"has":[132],"some":[133],"certain":[134],"Specifically,":[137],"given":[138],"a":[139,159,250,281,334,344],"pair":[140],"<inline-formula":[144,151,164,171,186,194,205,212,232,243,259,266,274,290,297],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[145,152,165,172,187,195,206,213,233,244,260,267,275,291,298],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[146,153,166,173,188,196,207,214,234,245,261,268,276,292,299],"<tex-math":[147,154,167,174,189,197,208,215,235,246,262,269,277,293,300],"notation=\"LaTeX\">$L_X$</tex-math>":[148],"</inline-formula>":[149,156,169,180,192,200,210,217,240,248,264,271,279,295,302],"notation=\"LaTeX\">$L_Y$</tex-math>":[155],",":[157,170,241,272],"corresponding":[160,229],"set":[163],"notation=\"LaTeX\">$\\mathcal{L}_{O}$</tex-math>":[168],"notation=\"LaTeX\">$L_X":[175],"\\CI":[176],"L_Y":[177],"|":[178],"\\mathcal{L}_{O}$</tex-math>":[179],"holds":[181],"if":[182,185],"only":[184],"notation=\"LaTeX\">$A_{\\{L_X\\}}-\\omega_1^\\intercal":[190],"A^{\\prime}_{\\{\\mathcal{L}_{O}\\}}$</tex-math>":[191],"notation=\"LaTeX\">$A_{\\{L_Y\\}}-\\omega_2^\\intercal":[198],"A^{\\prime\\prime}_{\\{\\mathcal{L}_{O}\\}}$</tex-math>":[199],"statistically":[202],"independent,":[203],"where":[204],"notation=\"LaTeX\">$A^{\\prime}$</tex-math>":[209],"notation=\"LaTeX\">$A^{\\prime\\prime}$</tex-math>":[216],"two":[220],"disjoint":[221],"subset":[222],"for":[227],"variables,":[231],"notation=\"LaTeX\">$A^{\\prime}_{\\{\\mathcal{L}_{O}\\}}":[236],"\\cap":[237],"A^{\\prime\\prime}_{\\{\\mathcal{L}_{O}\\}}":[238],"=\\emptyset$</tex-math>":[239],"notation=\"LaTeX\">$\\omega_1$</tex-math>":[247],"parameter":[251,282],"vector":[252,283],"characterized":[253,284],"cross":[256,287],"covariance":[257,288],"notation=\"LaTeX\">$A_{\\{L_X\\}}$</tex-math>":[263],"notation=\"LaTeX\">$A^{\\prime}_{\\{\\mathcal{L}_{O}\\}}$</tex-math>":[270],"notation=\"LaTeX\">$\\omega_{2}$</tex-math>":[278],"notation=\"LaTeX\">$A_{\\{L_Y\\}}$</tex-math>":[294],"notation=\"LaTeX\">$A^{\\prime\\prime}_{\\{\\mathcal{L}_{O}\\}}$</tex-math>":[301],".":[303],"We":[304],"theoretically":[305],"show":[306],"AReCI":[309,339,351],"capable":[312],"addressing":[314],"both":[315],"Gaussian":[316],"non-Gaussian":[318],"In":[320],"addition,":[321],"find":[323],"well-known":[326],"partial":[327],"correlation":[328],"can":[330],"be":[331],"seen":[332],"special":[335],"case":[336],"test.":[340,356],"Finally,":[341],"devise":[343],"discovery":[346],"method":[347],"using":[349],"The":[357],"experimental":[358],"results":[359],"on":[360],"synthetic":[361],"real-world":[363],"data":[364],"illustrate":[365],"effectiveness":[367],"our":[369],"method.":[370]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}