{"id":"https://openalex.org/W4312191446","doi":"https://doi.org/10.1109/tcad.2022.3172907","title":"SoBS-X: Squeeze-Out Bit Sparsity for ReRAM-Crossbar-Based Neural Network Accelerator","display_name":"SoBS-X: Squeeze-Out Bit Sparsity for ReRAM-Crossbar-Based Neural Network Accelerator","publication_year":2022,"publication_date":"2022-05-05","ids":{"openalex":"https://openalex.org/W4312191446","doi":"https://doi.org/10.1109/tcad.2022.3172907"},"language":"en","primary_location":{"id":"doi:10.1109/tcad.2022.3172907","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcad.2022.3172907","pdf_url":null,"source":{"id":"https://openalex.org/S100835903","display_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","issn_l":"0278-0070","issn":["0278-0070","1937-4151"],"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 Computer-Aided Design of Integrated Circuits and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"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/A5017670541","display_name":"Fangxin Liu","orcid":"https://orcid.org/0000-0002-8769-293X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fangxin Liu","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107269495","display_name":"Zongwu Wang","orcid":"https://orcid.org/0009-0003-2157-4927"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongwu Wang","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034303334","display_name":"Yongbiao Chen","orcid":"https://orcid.org/0000-0002-7727-5489"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongbiao Chen","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036755436","display_name":"Zhezhi He","orcid":"https://orcid.org/0000-0002-6357-236X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhezhi He","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022287798","display_name":"Tao Yang","orcid":"https://orcid.org/0000-0001-8588-9483"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Yang","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056632010","display_name":"Xiaoyao Liang","orcid":"https://orcid.org/0000-0002-2790-5884"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyao Liang","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053801300","display_name":"Li Jiang","orcid":"https://orcid.org/0000-0002-7353-8798"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I4210122302","display_name":"ShangHai JiAi Genetics & IVF Institute","ror":"https://ror.org/02rgbry52","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210122302"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Jiang","raw_affiliation_strings":["Department of Computer Science and Engineering and the MoE Key Laboratory of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China","Shanghai Qi Zhi Institute, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering and the MoE Key Laboratory of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Shanghai Qi Zhi Institute, Shanghai, China","institution_ids":["https://openalex.org/I4210122302"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5017670541"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":1.0125,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.75255837,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"42","issue":"1","first_page":"204","last_page":"217"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.998199999332428,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/crossbar-switch","display_name":"Crossbar switch","score":0.9436425566673279},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7707279324531555},{"id":"https://openalex.org/keywords/resistive-random-access-memory","display_name":"Resistive random-access memory","score":0.7568249106407166},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5796070098876953},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.505050003528595},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4599859118461609},{"id":"https://openalex.org/keywords/memristor","display_name":"Memristor","score":0.4363555908203125},{"id":"https://openalex.org/keywords/multiplication","display_name":"Multiplication (music)","score":0.43038415908813477},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.4183497130870819},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4172183871269226},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.39679405093193054},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.34597742557525635},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.28627079725265503},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.2296251356601715},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1633184850215912},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.12365749478340149},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.11866241693496704},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10363611578941345},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09261313080787659}],"concepts":[{"id":"https://openalex.org/C29984679","wikidata":"https://www.wikidata.org/wiki/Q1929149","display_name":"Crossbar switch","level":2,"score":0.9436425566673279},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7707279324531555},{"id":"https://openalex.org/C182019814","wikidata":"https://www.wikidata.org/wiki/Q1143830","display_name":"Resistive random-access memory","level":3,"score":0.7568249106407166},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5796070098876953},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.505050003528595},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4599859118461609},{"id":"https://openalex.org/C150072547","wikidata":"https://www.wikidata.org/wiki/Q212923","display_name":"Memristor","level":2,"score":0.4363555908203125},{"id":"https://openalex.org/C2780595030","wikidata":"https://www.wikidata.org/wiki/Q3860309","display_name":"Multiplication (music)","level":2,"score":0.43038415908813477},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.4183497130870819},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4172183871269226},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.39679405093193054},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.34597742557525635},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28627079725265503},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.2296251356601715},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1633184850215912},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.12365749478340149},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.11866241693496704},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10363611578941345},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09261313080787659},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcad.2022.3172907","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcad.2022.3172907","pdf_url":null,"source":{"id":"https://openalex.org/S100835903","display_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","issn_l":"0278-0070","issn":["0278-0070","1937-4151"],"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 Computer-Aided Design of Integrated Circuits and Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G1303213773","display_name":null,"funder_award_id":"2018YFB1403400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G396593899","display_name":null,"funder_award_id":"62102257","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G744300498","display_name":null,"funder_award_id":"61834006","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1966939297","https://openalex.org/W2010202670","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2508602506","https://openalex.org/W2518281301","https://openalex.org/W2725159389","https://openalex.org/W2794288888","https://openalex.org/W2799229073","https://openalex.org/W2808970127","https://openalex.org/W2883149906","https://openalex.org/W2902501132","https://openalex.org/W2910506572","https://openalex.org/W2913431662","https://openalex.org/W2945592020","https://openalex.org/W2963122961","https://openalex.org/W2963163009","https://openalex.org/W2979663695","https://openalex.org/W2982479999","https://openalex.org/W2996874060","https://openalex.org/W2997375145","https://openalex.org/W3003821665","https://openalex.org/W3012561096","https://openalex.org/W3021906994","https://openalex.org/W3043072009","https://openalex.org/W3043495022","https://openalex.org/W3091922395","https://openalex.org/W3103148960","https://openalex.org/W3104849992","https://openalex.org/W3112740243","https://openalex.org/W3118608800","https://openalex.org/W3133862166","https://openalex.org/W3134893068","https://openalex.org/W3158020960","https://openalex.org/W3175953918","https://openalex.org/W3191560475","https://openalex.org/W3204021316","https://openalex.org/W4200477077","https://openalex.org/W4214834240","https://openalex.org/W4232382857","https://openalex.org/W4292779060","https://openalex.org/W4295312788","https://openalex.org/W6637373629","https://openalex.org/W6766978945","https://openalex.org/W6773270737","https://openalex.org/W6778883912","https://openalex.org/W6787972765","https://openalex.org/W6790152577"],"related_works":["https://openalex.org/W3005999147","https://openalex.org/W3164474614","https://openalex.org/W2171130799","https://openalex.org/W2005875039","https://openalex.org/W3173413269","https://openalex.org/W2015477599","https://openalex.org/W2548135880","https://openalex.org/W2144085790","https://openalex.org/W3177379469","https://openalex.org/W1568378063"],"abstract_inverted_index":{"Resistive":[0],"random-access-memory":[1],"(ReRAM)":[2],"crossbar":[3,32,58,158],"is":[4,29,41],"a":[5,61,65,75,129,168,206,211],"promising":[6],"technique":[7],"for":[8,23,31,194],"deep":[9],"neural":[10],"network":[11],"(DNN)":[12],"accelerators,":[13],"thanks":[14],"to":[15,34,46,51,87,134,213,224,249],"its":[16,192],"in-memory":[17],"and":[18,44,77,143,160,190,198,210,257,267,270],"in-situ":[19],"analog":[20],"computing":[21],"abilities":[22],"vector\u2013matrix":[24],"multiplication-and-accumulations":[25],"(VMMs).":[26],"However,":[27],"it":[28],"challenging":[30],"architecture":[33,189],"exploit":[35,47],"the":[36,52,55,84,89,106,115,136,139,145,155,162,165,173,181,187,226,233,241,244],"sparsity":[37,49,163],"in":[38,124,148,164],"DNNs.":[39],"It":[40],"inevitably":[42],"complex":[43],"costly":[45],"fine-grained":[48],"due":[50],"limitation":[53],"of":[54,91,110,138,246],"tightly":[56,156],"coupled":[57,157],"structure.":[59],"As":[60],"countermeasure,":[62],"we":[63,82,127],"develop":[64],"novel":[66,130],"ReRAM-based":[67],"DNN":[68,116],"accelerator,":[69],"named":[70],"sparse-multiplication-engine":[71],"(SME),":[72],"based":[73,93],"on":[74,94,288],"hardware":[76],"software":[78],"co-design":[79],"framework.":[80],"First,":[81],"orchestrate":[83],"bit-sparse":[85],"pattern":[86],"increase":[88],"density":[90],"bit-sparsity":[92],"existing":[95],"quantization":[96,196],"methods.":[97],"Such":[98],"quantized":[99],"weights":[100],"can":[101,119,153],"be":[102],"nicely":[103],"generated":[104],"using":[105,265],"alternating":[107],"direction":[108],"method":[109],"multipliers":[111],"(ADMM)":[112],"optimization":[113],"during":[114],"fine-tuning,":[117],"which":[118],"exactly":[120],"enforce":[121],"bit":[122],"patterns":[123],"weights.":[125],"Second,":[126],"propose":[128,205],"weight":[131,140],"mapping":[132],"mechanism":[133,152],"slice":[135],"bits":[137],"across":[141],"crossbars":[142,174,247],"splice":[144],"activation":[146],"results":[147],"peripheral":[149],"circuits.":[150],"This":[151],"decouple":[154],"structure":[159],"cumulate":[161],"crossbar.":[166],"Finally,":[167],"superior":[169],"squeeze-out":[170],"scheme":[171],"empties":[172],"mapped":[175],"with":[176,232,237,282],"highly":[177],"sparse":[178],"nonzeros":[179],"from":[180],"previous":[182],"two":[183],"steps.":[184],"We":[185,203],"design":[186],"SME":[188,242],"discuss":[191],"use":[193,245],"other":[195],"methods":[197],"different":[199],"ReRAM":[200],"cell":[201],"technologies.":[202],"further":[204],"workload":[207,215],"grouping":[208],"algorithm":[209],"pipeline":[212],"achieve":[214,271],"balance":[216],"among":[217],"crossbar-rows":[218],"that":[219],"concurrently":[220],"execute":[221],"multiply\u2013accumulate":[222],"operations":[223],"optimize":[225],"system":[227],"latency.":[228],"Putting":[229],"all":[230],"together,":[231],"optimized":[234],"model,":[235],"compared":[236],"prior":[238],"state-of-the-art":[239],"designs,":[240],"shrinks":[243],"up":[248,281],"<inline-formula":[250,258,273],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[251,259,274],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[252,260,275],"<tex-math":[253,261,276],"notation=\"LaTeX\">$8.7\\times":[254],"$":[255,263,278],"</tex-math></inline-formula>":[256,264,279],"notation=\"LaTeX\">$2.1\\times":[262],"ResNet-50":[266],"MobileNet-v2,":[268],"respectively,":[269],"average":[272],"notation=\"LaTeX\">$3.1\\times":[277],"speed":[280],"no":[283],"or":[284],"little":[285],"accuracy":[286],"loss":[287],"ImageNet.":[289]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}