{"id":"https://openalex.org/W3139696764","doi":"https://doi.org/10.1145/3341617.3326158","title":"Learning to Control Renewal Processes with Bandit Feedback","display_name":"Learning to Control Renewal Processes with Bandit Feedback","publication_year":2019,"publication_date":"2019-06-19","ids":{"openalex":"https://openalex.org/W3139696764","doi":"https://doi.org/10.1145/3341617.3326158","mag":"3139696764"},"language":"en","primary_location":{"id":"doi:10.1145/3341617.3326158","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3341617.3326158","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3341617.3326158","source":{"id":"https://openalex.org/S4210193547","display_name":"Proceedings of the ACM on Measurement and Analysis of Computing Systems","issn_l":"2476-1249","issn":["2476-1249"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Measurement and Analysis of Computing Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3341617.3326158","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054923152","display_name":"Semih \u00c7ayc\u0131","orcid":"https://orcid.org/0000-0001-7928-0794"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Semih Cayci","raw_affiliation_strings":["The Ohio State University, Columbus, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076974020","display_name":"Atilla Ery\u0131lmaz","orcid":"https://orcid.org/0000-0001-5560-5806"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Atilla Eryilmaz","raw_affiliation_strings":["The Ohio State University, Columbus, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078518595","display_name":"R. Srikant","orcid":"https://orcid.org/0000-0003-1483-5204"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R. Srikant","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7909,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.7756145,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"3","issue":"2","first_page":"1","last_page":"32"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13553","display_name":"Age of Information Optimization","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12288","display_name":"Optimization and Search Problems","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interrupt","display_name":"Interrupt","score":0.9487011432647705},{"id":"https://openalex.org/keywords/regret","display_name":"Regret","score":0.7700332403182983},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6939282417297363},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6289703845977783},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.48473426699638367},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.45835816860198975},{"id":"https://openalex.org/keywords/time-horizon","display_name":"Time horizon","score":0.4558677673339844},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.45462679862976074},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.42499616742134094},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3452182412147522},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3232244551181793},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.26378417015075684},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20567020773887634},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1674250066280365},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11734110116958618},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.08126497268676758},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.07757771015167236}],"concepts":[{"id":"https://openalex.org/C41661131","wikidata":"https://www.wikidata.org/wiki/Q220764","display_name":"Interrupt","level":3,"score":0.9487011432647705},{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.7700332403182983},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6939282417297363},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6289703845977783},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.48473426699638367},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.45835816860198975},{"id":"https://openalex.org/C28761237","wikidata":"https://www.wikidata.org/wiki/Q7805321","display_name":"Time horizon","level":2,"score":0.4558677673339844},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.45462679862976074},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.42499616742134094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3452182412147522},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3232244551181793},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.26378417015075684},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20567020773887634},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1674250066280365},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11734110116958618},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.08126497268676758},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.07757771015167236},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C173018170","wikidata":"https://www.wikidata.org/wiki/Q165678","display_name":"Microcontroller","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3341617.3326158","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3341617.3326158","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3341617.3326158","source":{"id":"https://openalex.org/S4210193547","display_name":"Proceedings of the ACM on Measurement and Analysis of Computing Systems","issn_l":"2476-1249","issn":["2476-1249"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Measurement and Analysis of Computing Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3341617.3326158","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3341617.3326158","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3341617.3326158","source":{"id":"https://openalex.org/S4210193547","display_name":"Proceedings of the ACM on Measurement and Analysis of Computing Systems","issn_l":"2476-1249","issn":["2476-1249"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Measurement and Analysis of Computing Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1060121603","display_name":null,"funder_award_id":"CNS-SpecEES-1824337","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G1318372619","display_name":"SpecEES: Collaborative Research: Leveraging Randomization and Human Behavior for Efficient Large-Scale Distributed Spectrum Access","funder_award_id":"1824337","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G1319351997","display_name":null,"funder_award_id":"HDTRA1-18","funder_id":"https://openalex.org/F4320332186","funder_display_name":"Defense Threat Reduction Agency"},{"id":"https://openalex.org/G1918780668","display_name":null,"funder_award_id":"NeTS-1514260","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G219618159","display_name":null,"funder_award_id":"CNS-NeTS-1514260, CNS-NeTS-1717045, CMMI-SMOR-1562065, CNS-ICN-WEN-1719371, CNS-SpecEES-1824337","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2262863885","display_name":"NeTS: Small: Collaborative Research: Fast Online Machine Learning Algorithms for Wireless Networks","funder_award_id":"1718203","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2379327423","display_name":null,"funder_award_id":"HDTRA1-15-1-0003","funder_id":"https://openalex.org/F4320332186","funder_display_name":"Defense Threat Reduction Agency"},{"id":"https://openalex.org/G2582747752","display_name":"CPS: Medium: Collaborative Research: Demand Response & Workload Management for Data Centers with Increased Renewable Penetration","funder_award_id":"1739189","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3020841490","display_name":null,"funder_award_id":"HDTRA1-18-1-0050","funder_id":"https://openalex.org/F4320332186","funder_display_name":"Defense Threat Reduction Agency"},{"id":"https://openalex.org/G3366966419","display_name":null,"funder_award_id":"W911NF-16-1","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G4263342656","display_name":null,"funder_award_id":"HDTRA1-15-1-0003, HDTRA1-18-1-0050","funder_id":"https://openalex.org/F4320332186","funder_display_name":"Defense Threat Reduction Agency"},{"id":"https://openalex.org/G4311931593","display_name":null,"funder_award_id":"CPS ECCS 1739189","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4535644562","display_name":"Collaborative Research: Performance Analysis and Design of Systems with Interconnected Resources","funder_award_id":"1562276","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5633197890","display_name":"Collaborative Research: Performance Analysis and Design of Systems with Interconnected Resources","funder_award_id":"1562065","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5789372060","display_name":"NeTS: Medium: Connecting the Next Billion: Rethinking Wireless Network Design Principles for the Internet-of-Everything","funder_award_id":"1514260","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5796303531","display_name":null,"funder_award_id":"W911NF-16-1-0259","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G6541015203","display_name":null,"funder_award_id":"HDTRA1","funder_id":"https://openalex.org/F4320332186","funder_display_name":"Defense Threat Reduction Agency"},{"id":"https://openalex.org/G657448715","display_name":null,"funder_award_id":"W911NF-16-1-","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G6676831710","display_name":"Collaborative Research: Resource Allocation for Time-Critical Communications in Wireless Networks","funder_award_id":"1609370","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6743416395","display_name":null,"funder_award_id":"1562276","funder_id":"https://openalex.org/F4320337391","funder_display_name":"Division of Civil, Mechanical and Manufacturing Innovation"},{"id":"https://openalex.org/G7340397932","display_name":null,"funder_award_id":"CMMI-SMOR-1562065","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7399538068","display_name":"NeTS: Small: Collaborative Research: Fast Online Machine Learning Algorithms for Wireless Networks","funder_award_id":"1717045","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7452299184","display_name":null,"funder_award_id":"W911NF","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G7744059997","display_name":null,"funder_award_id":"NeTS 1718203","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G923841940","display_name":null,"funder_award_id":"CNS-NeTS-1514260","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332186","display_name":"Defense Threat Reduction Agency","ror":"https://ror.org/04tz64554"},{"id":"https://openalex.org/F4320337391","display_name":"Division of Civil, Mechanical and Manufacturing Innovation","ror":"https://ror.org/028yd4c30"},{"id":"https://openalex.org/F4320337392","display_name":"Division of Electrical, Communications and Cyber Systems","ror":"https://ror.org/01krpsy48"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3139696764.pdf","grobid_xml":"https://content.openalex.org/works/W3139696764.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W565955800","https://openalex.org/W1753414968","https://openalex.org/W1972309850","https://openalex.org/W1984332158","https://openalex.org/W1988043632","https://openalex.org/W2004570925","https://openalex.org/W2008098735","https://openalex.org/W2009551863","https://openalex.org/W2016437165","https://openalex.org/W2019511621","https://openalex.org/W2049689520","https://openalex.org/W2049934117","https://openalex.org/W2089589825","https://openalex.org/W2095578729","https://openalex.org/W2110005947","https://openalex.org/W2130172960","https://openalex.org/W2131552728","https://openalex.org/W2155923496","https://openalex.org/W2168595508","https://openalex.org/W2912168264","https://openalex.org/W2914156981","https://openalex.org/W3003336896","https://openalex.org/W3101686246","https://openalex.org/W4232620022","https://openalex.org/W4246270964"],"related_works":["https://openalex.org/W2971351794","https://openalex.org/W4376155396","https://openalex.org/W1947085858","https://openalex.org/W4288898221","https://openalex.org/W2358308054","https://openalex.org/W2174986909","https://openalex.org/W2527791220","https://openalex.org/W2391783641","https://openalex.org/W2109690896","https://openalex.org/W2146867217"],"abstract_inverted_index":{"We":[0,136,213,234],"consider":[1],"a":[2,17,22,30,60,93,97,111,129,175,195,217],"bandit":[3,219],"problem":[4],"with":[5,221],"K":[6],"task":[7,15,20,37,41,94,119,127],"types":[8,42],"from":[9,45,187],"which":[10,246],"the":[11,36,65,68,79,89,103,115,118,122,126,152,178,183,238],"controller":[12,69,90,116],"activates":[13],"one":[14],"at":[16],"time.":[18,156],"Each":[19],"takes":[21],"random":[23],"and":[24,29,48,51,57,95,120,132,142,170,209],"possibly":[25,130,206],"heavy-tailed":[26,141,207],"completion":[27,55,145,210],"time,":[28],"reward":[31,80,153,208],"is":[32,38,70,244,250],"obtained":[33],"only":[34],"after":[35],"completed.":[39],"The":[40],"are":[43],"independent":[44],"each":[46],"other,":[47],"have":[49],"distinct":[50],"unknown":[52],"distributions":[53],"for":[54,128,139,205],"time":[56,62,146,211],"reward.":[58],"For":[59,190],"given":[61],"horizon":[63],"\u03c4,":[64],"goal":[66],"of":[67,158,225],"to":[71,77,91,102],"schedule":[72],"tasks":[73],"adaptively":[74],"so":[75],"as":[76],"maximize":[78],"collected":[81],"until":[82],"\u03c4":[83],"expires.":[84],"In":[85,100],"addition,":[86],"we":[87,193],"allow":[88],"interrupt":[92,108,125,179,228],"initiate":[96],"new":[98,112],"one.":[99],"addition":[101],"traditional":[104],"exploration-exploitation":[105],"dilemma,":[106],"this":[107,148,159,191],"mechanism":[109,150,180],"introduces":[110],"one:":[113],"should":[114],"complete":[117],"get":[121],"reward,":[123],"or":[124],"shorter":[131],"more":[133],"rewarding":[134],"alternative?":[135],"show":[137,214],"that":[138,237,248],"all":[140],"some":[143],"light-tailed":[144],"distributions,":[147],"interruption":[149],"improves":[151],"linearly":[154],"over":[155],"Applications":[157],"model":[160],"include":[161],"server":[162],"scheduling,":[163],"optimal":[164],"free":[165],"sampling":[166],"strategies":[167],"in":[168,216],"advertising":[169],"adaptive":[171],"content":[172],"selection.":[173],"From":[174],"learning":[176,182,197],"perspective,":[177],"necessitates":[181],"whole":[184],"arm":[185],"distribution":[186],"truncated":[188],"observations.":[189],"purpose,":[192],"propose":[194],"robust":[196],"algorithm":[198],"named":[199],"UCB-BwI":[200,230,249],"based":[201],"on":[202],"median-of-means":[203],"estimator":[204],"distributions.":[212],"that,":[215],"K-armed":[218],"setting":[220],"an":[222],"arbitrary":[223],"set":[224],"L":[226],"possible":[227],"times,":[229],"achieves":[231],"O(K\u0142og(\u03c4)+KL)":[232],"regret.":[233],"also":[235],"prove":[236],"regret":[239],"under":[240],"any":[241],"admissible":[242],"policy":[243],"\u00d8mega(K\u0142og(\u03c4)),":[245],"implies":[247],"order":[251],"optimal.":[252]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
