{"id":"https://openalex.org/W1632651649","doi":"https://doi.org/10.1109/tsp.2015.2460225","title":"Large Dimensional Analysis of Robust M-Estimators of Covariance With Outliers","display_name":"Large Dimensional Analysis of Robust M-Estimators of Covariance With Outliers","publication_year":2015,"publication_date":"2015-07-24","ids":{"openalex":"https://openalex.org/W1632651649","doi":"https://doi.org/10.1109/tsp.2015.2460225","mag":"1632651649"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2015.2460225","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2015.2460225","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pure.qub.ac.uk/en/publications/0b6399c1-c3f3-4c63-bebe-701be3538fa4","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031301324","display_name":"David Morales\u2010Jim\u00e9nez","orcid":"https://orcid.org/0000-0002-2141-7185"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"David Morales-Jimenez","raw_affiliation_strings":["Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong","Department of Electronic and Computer Engineering; Hong Kong University of Science and Technology; Clear Water Bay Kowloon,Hong-Kong"],"raw_orcid":"https://orcid.org/0000-0002-2141-7185","affiliations":[{"raw_affiliation_string":"Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"Department of Electronic and Computer Engineering; Hong Kong University of Science and Technology; Clear Water Bay Kowloon,Hong-Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021257434","display_name":"Romain Couillet","orcid":"https://orcid.org/0000-0001-5755-2090"},"institutions":[{"id":"https://openalex.org/I102197404","display_name":"Universit\u00e9 Paris-Sud","ror":"https://ror.org/028rypz17","country_code":"FR","type":"education","lineage":["https://openalex.org/I102197404"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Romain Couillet","raw_affiliation_strings":["Laboratoire de Signaux et Syst\u00e8mes (L2S, UMR8506), CNRS-CentraleSup\u00e9lec-Universit\u00e9 Paris-Sud, Gif-sur-Yvette, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire de Signaux et Syst\u00e8mes (L2S, UMR8506), CNRS-CentraleSup\u00e9lec-Universit\u00e9 Paris-Sud, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I102197404","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091126453","display_name":"Matthew R. McKay","orcid":"https://orcid.org/0000-0002-8086-2545"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Matthew R. McKay","raw_affiliation_strings":["Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong","Department of Electronic and Computer Engineering; Hong Kong University of Science and Technology; Clear Water Bay Kowloon,Hong-Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"Department of Electronic and Computer Engineering; Hong Kong University of Science and Technology; Clear Water Bay Kowloon,Hong-Kong","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.7471,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.93232354,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"63","issue":"21","first_page":"5784","last_page":"5797"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9988999962806702,"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/T11716","display_name":"Random Matrices and Applications","score":0.9977999925613403,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9922000169754028,"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/outlier","display_name":"Outlier","score":0.791469931602478},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7757374048233032},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6860648989677429},{"id":"https://openalex.org/keywords/robust-statistics","display_name":"Robust statistics","score":0.5834664106369019},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5790584683418274},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5662298202514648},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5342108011245728},{"id":"https://openalex.org/keywords/estimation-of-covariance-matrices","display_name":"Estimation of covariance matrices","score":0.4789712727069855},{"id":"https://openalex.org/keywords/scatter-matrix","display_name":"Scatter matrix","score":0.4765268564224243},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4731484651565552},{"id":"https://openalex.org/keywords/extremum-estimator","display_name":"Extremum estimator","score":0.45593494176864624},{"id":"https://openalex.org/keywords/invariant-estimator","display_name":"Invariant estimator","score":0.4183264970779419},{"id":"https://openalex.org/keywords/m-estimator","display_name":"M-estimator","score":0.3673527240753174},{"id":"https://openalex.org/keywords/minimax-estimator","display_name":"Minimax estimator","score":0.29823440313339233},{"id":"https://openalex.org/keywords/minimum-variance-unbiased-estimator","display_name":"Minimum-variance unbiased estimator","score":0.12000948190689087}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.791469931602478},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7757374048233032},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6860648989677429},{"id":"https://openalex.org/C67226441","wikidata":"https://www.wikidata.org/wiki/Q1665389","display_name":"Robust statistics","level":3,"score":0.5834664106369019},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5790584683418274},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5662298202514648},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5342108011245728},{"id":"https://openalex.org/C180877172","wikidata":"https://www.wikidata.org/wiki/Q5401390","display_name":"Estimation of covariance matrices","level":3,"score":0.4789712727069855},{"id":"https://openalex.org/C176917957","wikidata":"https://www.wikidata.org/wiki/Q7430596","display_name":"Scatter matrix","level":4,"score":0.4765268564224243},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4731484651565552},{"id":"https://openalex.org/C68805675","wikidata":"https://www.wikidata.org/wiki/Q5422477","display_name":"Extremum estimator","level":4,"score":0.45593494176864624},{"id":"https://openalex.org/C38689907","wikidata":"https://www.wikidata.org/wiki/Q6059509","display_name":"Invariant estimator","level":5,"score":0.4183264970779419},{"id":"https://openalex.org/C143791395","wikidata":"https://www.wikidata.org/wiki/Q475208","display_name":"M-estimator","level":3,"score":0.3673527240753174},{"id":"https://openalex.org/C133939421","wikidata":"https://www.wikidata.org/wiki/Q6865379","display_name":"Minimax estimator","level":4,"score":0.29823440313339233},{"id":"https://openalex.org/C165646398","wikidata":"https://www.wikidata.org/wiki/Q3755281","display_name":"Minimum-variance unbiased estimator","level":3,"score":0.12000948190689087},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/tsp.2015.2460225","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2015.2460225","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:pure.qub.ac.uk/portal:publications/0b6399c1-c3f3-4c63-bebe-701be3538fa4","is_oa":true,"landing_page_url":"https://pure.qub.ac.uk/en/publications/0b6399c1-c3f3-4c63-bebe-701be3538fa4","pdf_url":null,"source":{"id":"https://openalex.org/S4306402319","display_name":"Research Portal (Queen's University Belfast)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I126231945","host_organization_name":"Queen's University Belfast","host_organization_lineage":["https://openalex.org/I126231945"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Morales-Jimenez, D, Couillet, R & McKay, M R 2015, 'Large Dimensional Analysis of Robust M-estimators of Covariance with Outliers', IEEE Transactions on Signal Processing, vol. 63, no. 21, pp. 5784-5797. https://doi.org/10.1109/TSP.2015.2460225","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:arXiv.org:1503.01245","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1503.01245","pdf_url":"https://arxiv.org/pdf/1503.01245","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:pure.qub.ac.uk/portal:openaire/0b6399c1-c3f3-4c63-bebe-701be3538fa4","is_oa":true,"landing_page_url":"https://arxiv.org/abs/1503.01245","pdf_url":null,"source":{"id":"https://openalex.org/S4306402319","display_name":"Research Portal (Queen's University Belfast)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I126231945","host_organization_name":"Queen's University Belfast","host_organization_lineage":["https://openalex.org/I126231945"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Morales-Jimenez, D, Couillet, R & McKay, M R 2015, 'Large Dimensional Analysis of Robust M-estimators of Covariance with Outliers', IEEE Transactions on Signal Processing, vol. 63, no. 21, pp. 5784-5797. https://doi.org/10.1109/TSP.2015.2460225","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:HAL:hal-01242442v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01242442","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Signal Processing, 2015, 63 (21), pp.5784 -5797. &#x27E8;10.1109/TSP.2015.2460225&#x27E9;","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-73545","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-73545","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:pure.qub.ac.uk/portal:publications/0b6399c1-c3f3-4c63-bebe-701be3538fa4","is_oa":true,"landing_page_url":"https://pure.qub.ac.uk/en/publications/0b6399c1-c3f3-4c63-bebe-701be3538fa4","pdf_url":null,"source":{"id":"https://openalex.org/S4306402319","display_name":"Research Portal (Queen's University Belfast)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I126231945","host_organization_name":"Queen's University Belfast","host_organization_lineage":["https://openalex.org/I126231945"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Morales-Jimenez, D, Couillet, R & McKay, M R 2015, 'Large Dimensional Analysis of Robust M-estimators of Covariance with Outliers', IEEE Transactions on Signal Processing, vol. 63, no. 21, pp. 5784-5797. https://doi.org/10.1109/TSP.2015.2460225","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W391578156","https://openalex.org/W1586554030","https://openalex.org/W1829169350","https://openalex.org/W1873145308","https://openalex.org/W1965928820","https://openalex.org/W1971523416","https://openalex.org/W1974552031","https://openalex.org/W1979573625","https://openalex.org/W1986614632","https://openalex.org/W2006260918","https://openalex.org/W2008418230","https://openalex.org/W2014747354","https://openalex.org/W2017052897","https://openalex.org/W2026239436","https://openalex.org/W2039953809","https://openalex.org/W2046033161","https://openalex.org/W2052364013","https://openalex.org/W2062125287","https://openalex.org/W2082631364","https://openalex.org/W2093432936","https://openalex.org/W2107993500","https://openalex.org/W2111089635","https://openalex.org/W2112790040","https://openalex.org/W2115972246","https://openalex.org/W2119933098","https://openalex.org/W2130351130","https://openalex.org/W2130693290","https://openalex.org/W2132158100","https://openalex.org/W2134343800","https://openalex.org/W2143045817","https://openalex.org/W2152687999","https://openalex.org/W2163885535","https://openalex.org/W2164271287","https://openalex.org/W2610857016","https://openalex.org/W3101788651","https://openalex.org/W3102351945","https://openalex.org/W3103622081","https://openalex.org/W3103793889","https://openalex.org/W3105672394","https://openalex.org/W3105880584","https://openalex.org/W4249736682","https://openalex.org/W4299657353"],"related_works":["https://openalex.org/W1996044351","https://openalex.org/W93610239","https://openalex.org/W4250413060","https://openalex.org/W4205599388","https://openalex.org/W2056340321","https://openalex.org/W2036750674","https://openalex.org/W1998423349","https://openalex.org/W2087649161","https://openalex.org/W2081612034","https://openalex.org/W2144913774"],"abstract_inverted_index":{"A":[0,108],"large":[1],"dimensional":[2],"characterization":[3],"of":[4,7,44,55,76,89,111,119,128,136,145,166,175,187,190,233,236],"robust":[5,45,80,150],"M-estimators":[6,151],"covariance":[8,143,169],"(or":[9,124],"scatter)":[10],"is":[11,130,172,194],"provided":[12],"under":[13],"the":[14,17,42,51,65,79,86,90,106,117,120,126,134,137,140,146,162,167,177,185,218,222,231],"assumption":[15],"that":[16,50,116,225],"dataset":[18],"comprises":[19],"independent":[20],"(essentially":[21],"Gaussian)":[22],"legitimate":[23,100,147],"samples":[24,101],"as":[25,27,33,85,161,210],"well":[26],"arbitrary":[28],"deterministic":[29],"samples,":[30],"referred":[31],"to":[32,60,72,82,122,200,228],"outliers.":[34,107,239],"Building":[35],"upon":[36],"recent":[37],"random":[38,62],"matrix":[39,144],"advances":[40],"in":[41,217],"area":[43],"statistics,":[46],"we":[47],"specifically":[48],"show":[49],"so-called":[52],"Maronna":[53],"M-estimator":[54,121],"scatter":[56],"asymptotically":[57,84],"behaves":[58],"similar":[59,227],"well-known":[61],"matrices":[63],"when":[64],"population":[66,142],"and":[67,102],"sample":[68,91,168],"sizes":[69],"grow":[70],"together":[71],"infinity.":[73],"The":[74,180],"introduction":[75],"outliers":[77,129,138,205],"leads":[78],"estimator":[81,193],"behave":[83],"weighted":[87],"sum":[88],"outer":[92],"products,":[93],"with":[94,139],"a":[95,198],"constant":[96],"weight":[97],"for":[98,105,203],"all":[99],"different":[103],"weights":[104],"fine":[109],"analysis":[110,181,223],"this":[112],"structure":[113],"reveals":[114,224],"importantly":[115],"propensity":[118],"attenuate":[123],"enhance)":[125],"impact":[127],"mostly":[131],"dictated":[132],"by":[133],"alignment":[135],"inverse":[141],"samples.":[148,179],"Thus,":[149],"can":[152],"bring":[153],"substantial":[154],"benefits":[155],"over":[156],"more":[157,195],"simplistic":[158],"estimators":[159,189,226],"such":[160,209],"per-sample":[163],"normalized":[164],"version":[165],"matrix,":[170],"which":[171],"not":[173],"capable":[174],"differentiating":[176],"outlying":[178],"shows":[182],"that,":[183],"within":[184],"class":[186],"Maronna's":[188],"scatter,":[191],"Huber":[192],"favorable":[196],"(in":[197],"sense":[199],"be":[201],"defined)":[202],"rejecting":[204],"than":[206],"classical":[207],"alternatives":[208],"Tyler's":[211,229],"scale":[212],"invariant":[213],"estimator,":[214],"often":[215],"preferred":[216],"literature.":[219],"In":[220],"fact,":[221],"run":[230],"risk":[232],"enhancing":[234],"(instead":[235],"mitigating)":[237],"some":[238]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
