{"id":"https://openalex.org/W4389337998","doi":"https://doi.org/10.1145/3635160","title":"Statistical Verification using Surrogate Models and Conformal Inference and a Comparison with Risk-Aware Verification","display_name":"Statistical Verification using Surrogate Models and Conformal Inference and a Comparison with Risk-Aware Verification","publication_year":2023,"publication_date":"2023-12-05","ids":{"openalex":"https://openalex.org/W4389337998","doi":"https://doi.org/10.1145/3635160"},"language":"en","primary_location":{"id":"doi:10.1145/3635160","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3635160","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3635160","source":{"id":"https://openalex.org/S2506189754","display_name":"ACM Transactions on Cyber-Physical Systems","issn_l":"2378-962X","issn":["2378-962X","2378-9638"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Cyber-Physical Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3635160","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087698461","display_name":"Xin Qin","orcid":"https://orcid.org/0000-0001-7457-0565"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xin Qin","raw_affiliation_strings":["University of Southern California, Los Angeles, USA"],"raw_orcid":"https://orcid.org/0000-0001-7457-0565","affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100631953","display_name":"Yuan Xia","orcid":"https://orcid.org/0000-0003-0649-3101"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuan Xia","raw_affiliation_strings":["University of Southern California, Los Angeles, USA"],"raw_orcid":"https://orcid.org/0000-0003-0649-3101","affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018670792","display_name":"Aditya Zutshi","orcid":"https://orcid.org/0000-0003-1557-4595"},"institutions":[{"id":"https://openalex.org/I4210140281","display_name":"Galois (United States)","ror":"https://ror.org/03g8y8161","country_code":"US","type":"company","lineage":["https://openalex.org/I4210140281"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aditya Zutshi","raw_affiliation_strings":["Galois, Inc., Portland, USA"],"raw_orcid":"https://orcid.org/0000-0003-1557-4595","affiliations":[{"raw_affiliation_string":"Galois, Inc., Portland, USA","institution_ids":["https://openalex.org/I4210140281"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019603699","display_name":"Chuchu Fan","orcid":"https://orcid.org/0000-0003-4671-233X"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chuchu Fan","raw_affiliation_strings":["Massachusetts Institute of Technology, Cambridge, USA"],"raw_orcid":"https://orcid.org/0000-0003-4671-233X","affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, Cambridge, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057473400","display_name":"Jyotirmoy V. Deshmukh","orcid":"https://orcid.org/0000-0003-4683-5540"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jyotirmoy V. Deshmukh","raw_affiliation_strings":["University of Southern California, Los Angeles, USA"],"raw_orcid":"https://orcid.org/0000-0003-4683-5540","affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, USA","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5087698461"],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":1.8971,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.88451155,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"8","issue":"2","first_page":"1","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10142","display_name":"Formal Methods in Verification","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10142","display_name":"Formal Methods in Verification","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9944000244140625,"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/T12423","display_name":"Software Reliability and Analysis Research","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/correctness","display_name":"Correctness","score":0.7109013795852661},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7075641751289368},{"id":"https://openalex.org/keywords/surrogate-model","display_name":"Surrogate model","score":0.6155151724815369},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.580579400062561},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.5732221007347107},{"id":"https://openalex.org/keywords/model-checking","display_name":"Model checking","score":0.5328363180160522},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5177030563354492},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4970381557941437},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"Statistical inference","score":0.4959894120693207},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.48030704259872437},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.441506028175354},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44108328223228455},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.4227461814880371},{"id":"https://openalex.org/keywords/undecidable-problem","display_name":"Undecidable problem","score":0.42026451230049133},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37797823548316956},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.2992051839828491},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2547917068004608},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22596794366836548},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1959819495677948},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09824585914611816}],"concepts":[{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.7109013795852661},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7075641751289368},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.6155151724815369},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.580579400062561},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.5732221007347107},{"id":"https://openalex.org/C110251889","wikidata":"https://www.wikidata.org/wiki/Q1569697","display_name":"Model checking","level":2,"score":0.5328363180160522},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5177030563354492},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4970381557941437},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.4959894120693207},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.48030704259872437},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.441506028175354},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44108328223228455},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.4227461814880371},{"id":"https://openalex.org/C192034797","wikidata":"https://www.wikidata.org/wiki/Q3502995","display_name":"Undecidable problem","level":3,"score":0.42026451230049133},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37797823548316956},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.2992051839828491},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2547917068004608},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22596794366836548},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1959819495677948},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09824585914611816},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C153269930","wikidata":"https://www.wikidata.org/wiki/Q430001","display_name":"Decidability","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3635160","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3635160","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3635160","source":{"id":"https://openalex.org/S2506189754","display_name":"ACM Transactions on Cyber-Physical Systems","issn_l":"2378-962X","issn":["2378-962X","2378-9638"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Cyber-Physical Systems","raw_type":"journal-article"},{"id":"pmh:oai:dspace.mit.edu:1721.1/153257","is_oa":true,"landing_page_url":"https://hdl.handle.net/1721.1/153257","pdf_url":"https://dspace.mit.edu/bitstream/1721.1/153257/1/3635160.pdf","source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Association for Computing Machinery","raw_type":"http://purl.org/eprint/type/JournalArticle"}],"best_oa_location":{"id":"doi:10.1145/3635160","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3635160","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3635160","source":{"id":"https://openalex.org/S2506189754","display_name":"ACM Transactions on Cyber-Physical Systems","issn_l":"2378-962X","issn":["2378-962X","2378-9638"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Cyber-Physical Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6200000047683716}],"awards":[{"id":"https://openalex.org/G1207027810","display_name":null,"funder_award_id":"CCF-SHF-1932620","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G1889334499","display_name":"FMitF: A Novel Framework for Learning Formal Abstractions and Causal Relations from Temporal Behaviors","funder_award_id":"1837131","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2091120815","display_name":null,"funder_award_id":"FMitF-1837131","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4185534415","display_name":"CAREER: A Framework for Logic-based Requirements to guide Safe Deep Learning for Autonomous Mobile Systems","funder_award_id":"2048094","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4851802478","display_name":null,"funder_award_id":"SHF-2048094","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5876574054","display_name":null,"funder_award_id":"1932620","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6671297155","display_name":null,"funder_award_id":"CAREER","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6708180324","display_name":"Collaborative Research: CPS: Medium: Spatio-Temporal Logics for Analyzing and Querying Perception Systems","funder_award_id":"2039087","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7435669594","display_name":null,"funder_award_id":"CNS-2039087","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8535605147","display_name":null,"funder_award_id":"CNS-1932620","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389337998.pdf","grobid_xml":"https://content.openalex.org/works/W4389337998.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W1547304883","https://openalex.org/W1560643704","https://openalex.org/W1631091010","https://openalex.org/W1647779468","https://openalex.org/W1792768639","https://openalex.org/W1812676967","https://openalex.org/W1904801170","https://openalex.org/W1990621008","https://openalex.org/W2049399166","https://openalex.org/W2083545691","https://openalex.org/W2116888614","https://openalex.org/W2129995532","https://openalex.org/W2166116275","https://openalex.org/W2175304969","https://openalex.org/W2511010299","https://openalex.org/W2543296129","https://openalex.org/W2606486293","https://openalex.org/W2786261640","https://openalex.org/W2787596386","https://openalex.org/W2795231670","https://openalex.org/W2889490035","https://openalex.org/W2899116309","https://openalex.org/W2907275873","https://openalex.org/W2963231286","https://openalex.org/W2963778636","https://openalex.org/W2964060211","https://openalex.org/W2972404875","https://openalex.org/W2974147052","https://openalex.org/W2980274526","https://openalex.org/W2998760416","https://openalex.org/W3011074397","https://openalex.org/W3021487874","https://openalex.org/W3116962725","https://openalex.org/W3124407081","https://openalex.org/W3205889124","https://openalex.org/W4212863985","https://openalex.org/W4221141136","https://openalex.org/W4244483956","https://openalex.org/W4281621428","https://openalex.org/W4283361469","https://openalex.org/W4286899536","https://openalex.org/W6691872600"],"related_works":["https://openalex.org/W2120230527","https://openalex.org/W1536365843","https://openalex.org/W2125797022","https://openalex.org/W1802268423","https://openalex.org/W2960540998","https://openalex.org/W4237912051","https://openalex.org/W2903759548","https://openalex.org/W4312462449","https://openalex.org/W3119891423","https://openalex.org/W3116110246"],"abstract_inverted_index":{"Uncertainty":[0],"in":[1,22,52,175,180,191],"safety-critical":[2,196],"cyber-physical":[3],"systems":[4],"can":[5,122],"be":[6],"modeled":[7],"using":[8,151],"a":[9,19,59,78,116,158],"finite":[10],"number":[11],"of":[12,37,67,84,115,131,203],"parameters":[13],"or":[14],"parameterized":[15],"input":[16],"signals.":[17],"Given":[18],"system":[20,43],"specification":[21],"Signal":[23],"Temporal":[24],"Logic":[25],"(STL),":[26],"we":[27,121,149,199],"would":[28],"like":[29],"to":[30,99,108,186],"verify":[31],"that":[32],"for":[33,81,87,136,168,195],"all":[34],"(infinite)":[35],"values":[36,130],"the":[38,42,65,91,113,127,132,147,176,183,192,201],"model":[39,55,74,92,97],"parameters/input":[40],"signals,":[41],"satisfies":[44],"its":[45],"specification.":[46],"Unfortunately,":[47],"this":[48,143],"problem":[49],"is":[50],"undecidable":[51],"general.":[53],"Statistical":[54],"checking":[56],"(SMC)":[57],"offers":[58],"solution":[60],"by":[61,70],"providing":[62],"guarantees":[63,111,172],"on":[64,73,90,112,162,206],"correctness":[66],"CPS":[68,85,184,208],"models":[69,86,102,167],"statistically":[71],"reasoning":[72],"simulations.":[75],"We":[76,141,155],"propose":[77,157],"new":[79],"approach":[80],"statistical":[82],"verification":[83],"user-provided":[88],"distribution":[89],"parameters.":[93],"Our":[94],"technique":[95,205],"uses":[96,105],"simulations":[98],"learn":[100],"surrogate":[101,166],",":[103],"and":[104],"conformal":[106],"inference":[107],"provide":[109,123],"probabilistic":[110,171],"satisfaction":[114,129],"given":[117,133],"STL":[118,134],"property.":[119],"Additionally,":[120],"prediction":[124,144],"intervals":[125],"containing":[126],"quantitative":[128],"property":[135],"any":[137],"user-specified":[138],"confidence":[139],"level.":[140],"compare":[142],"interval":[145,148],"with":[146],"get":[150],"risk":[152],"estimation":[153],"procedures.":[154],"also":[156],"refinement":[159],"procedure":[160],"based":[161],"Gaussian":[163],"Process":[164],"(GP)-based":[165],"obtaining":[169],"fine-grained":[170],"over":[173],"sub-regions":[174],"parameter":[177,193],"space.":[178],"This":[179],"turn":[181],"enables":[182],"designer":[185],"choose":[187],"assured":[188],"validity":[189],"domains":[190],"space":[194],"applications.":[197],"Finally,":[198],"demonstrate":[200],"efficacy":[202],"our":[204],"several":[207],"models.":[209]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}