{"id":"https://openalex.org/W7204180355","doi":"https://doi.org/10.48550/arxiv.2608.22301","title":"The Imitator Game: Benchmarking Robot Imitative Ability Beyond Action Prediction","display_name":"The Imitator Game: Benchmarking Robot Imitative Ability Beyond Action Prediction","publication_year":2026,"publication_date":"2026-08-23","ids":{"openalex":"https://openalex.org/W7204180355","doi":"https://doi.org/10.48550/arxiv.2608.22301"},"language":null,"primary_location":{"id":"pmh:oai:arXiv.org:2608.22301","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.22301","pdf_url":"https://arxiv.org/pdf/2608.22301","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2608.22301","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111153523","display_name":"Xunzhe Zhou","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zhou, Xunzhe","raw_affiliation_strings":["The University of Hong Kong","TranscEngram"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Hong Kong","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"TranscEngram","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139308057","display_name":"Yiyang Cai","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cai, Yiyang","raw_affiliation_strings":["Fudan University","TranscEngram"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"TranscEngram","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038349451","display_name":"Fengyi Wang","orcid":"https://orcid.org/0000-0003-0306-8601","observed_orcids":["https://orcid.org/0000-0003-0306-8601"]},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang, Fengyi","raw_affiliation_strings":["Fudan University","TranscEngram"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"TranscEngram","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134466594","display_name":"Ran Ju","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Ju, Ran","raw_affiliation_strings":["The University of Hong Kong","TranscEngram"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Hong Kong","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"TranscEngram","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029528774","display_name":"Hanxiang Ren","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ren, Hanxiang","raw_affiliation_strings":["TranscEngram","Zhejiang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TranscEngram","institution_ids":[]},{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5148093391","display_name":"Ruizhe Liu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Liu, Ruizhe","raw_affiliation_strings":["The University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5148099678","display_name":"Yu Zhang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zhang, Yu","raw_affiliation_strings":["The University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139137565","display_name":"Qian Luo","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Luo, Qian","raw_affiliation_strings":["The University of Hong Kong","TranscEngram"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Hong Kong","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"TranscEngram","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128769678","display_name":"Feng Chen","orcid":"https://orcid.org/0000-0002-1963-5319","observed_orcids":["https://orcid.org/0000-0002-1963-5319"]},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Chen, Feng","raw_affiliation_strings":["The University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136613337","display_name":"Pei Zhou","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zhou, Pei","raw_affiliation_strings":["The University of Hong Kong","TranscEngram"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Hong Kong","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"TranscEngram","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062841020","display_name":"Yi Ma","orcid":"https://orcid.org/0000-0001-5485-419X","observed_orcids":["https://orcid.org/0000-0001-5485-419X","https://orcid.org/0000-0003-1832-8920","https://orcid.org/0000-0002-6715-4309"]},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Ma, Yi","raw_affiliation_strings":["The University of Hong Kong","TranscEngram"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Hong Kong","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"TranscEngram","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108054841","display_name":"Yanchao Yang","orcid":"https://orcid.org/0000-0002-2447-7917","observed_orcids":["https://orcid.org/0000-0002-2447-7917"]},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yang, Yanchao","raw_affiliation_strings":["The University of Hong Kong","TranscEngram"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Hong Kong","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"TranscEngram","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.8363999724388123,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10653","display_name":"Robot Manipulation and Learning","score":0.8363999724388123,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.14659999310970306,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.005200000014156103,"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/robot-imitation","display_name":"robot imitation","score":0.7900000214576721},{"id":"https://openalex.org/keywords/intent-inference","display_name":"intention inference","score":0.7639999985694885},{"id":"https://openalex.org/keywords/benchmarking","display_name":"benchmarking","score":0.45899999141693115},{"id":"https://openalex.org/keywords/human-robot-interaction","display_name":"human-robot interaction","score":0.7039999961853027},{"id":"https://openalex.org/keywords/functional-substitution","display_name":"functional substitution","score":0.6629999876022339},{"id":"https://openalex.org/keywords/object-affordances","display_name":"object affordances","score":0.7919999957084656},{"id":"https://openalex.org/keywords/zero-shot-generalization","display_name":"zero-shot generalization","score":0.7739999890327454},{"id":"https://openalex.org/keywords/fine-tuning","display_name":"fine-tuning","score":0.7630000114440918},{"id":"https://openalex.org/keywords/human-evaluation","display_name":"human evaluation","score":0.36399999260902405},{"id":"https://openalex.org/keywords/robot-learning-from-demonstration","display_name":"robot learning from demonstration","score":0.34599998593330383}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7415000200271606},{"id":"https://openalex.org/C194995250","wikidata":"https://www.wikidata.org/wiki/Q531136","display_name":"Affordance","level":2,"score":0.7192000150680542},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6800000071525574},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.6553000211715698},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6492000222206116},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.6248999834060669},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5590000152587891},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5335999727249146},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5329999923706055},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5220999717712402},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5103999972343445},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.35740000009536743},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35280001163482666},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.34950000047683716},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.34119999408721924},{"id":"https://openalex.org/C126388530","wikidata":"https://www.wikidata.org/wiki/Q1131737","display_name":"Imitation","level":2,"score":0.33629998564720154},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3361999988555908},{"id":"https://openalex.org/C145460709","wikidata":"https://www.wikidata.org/wiki/Q859951","display_name":"Human\u2013robot interaction","level":3,"score":0.31450000405311584},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.2897000014781952},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.2888999879360199},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.2727000117301941},{"id":"https://openalex.org/C22304111","wikidata":"https://www.wikidata.org/wiki/Q1417978","display_name":"Object permanence","level":4,"score":0.2648000121116638},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.25440001487731934},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.2524999976158142}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2608.22301","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.22301","pdf_url":"https://arxiv.org/pdf/2608.22301","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"doi:10.48550/arxiv.2608.22301","doi":"https://doi.org/10.48550/arxiv.2608.22301","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2608.22301","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2608.22301","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.22301","pdf_url":"https://arxiv.org/pdf/2608.22301","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7204180355.pdf","grobid_xml":"https://content.openalex.org/works/W7204180355.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Humans":[0],"imitate":[1,65],"at":[2,25,170,236],"the":[3,43,67,88,91,95,116,125,177,187],"level":[4],"of":[5],"intent:":[6],"given":[7],"a":[8,81,181],"demonstration,":[9],"we":[10],"infer":[11],"its":[12],"goal":[13],"and":[14,22,37,94,106,124,136,146,229],"carry":[15],"it":[16,113],"out":[17],"with":[18,114,212,223],"whatever":[19],"tools,":[20],"objects,":[21],"layouts":[23],"are":[24,234],"hand.":[26],"Current":[27],"robot":[28],"policies":[29],"instead":[30],"learn":[31],"observation-to-action":[32],"mappings":[33],"from":[34,47,164],"visual":[35],"inputs":[36],"language":[38],"instructions,":[39],"without":[40],"explicitly":[41],"inferring":[42],"demonstrated":[44],"task.":[45],"Learning":[46],"human":[48,92,155],"video":[49],"thus":[50],"remains":[51],"largely":[52],"trajectory-level:":[53],"models":[54,194,211],"can":[55],"replay":[56,102],"motions":[57],"in":[58,133],"near-identical":[59],"scenes,":[60],"but":[61,168],"still":[62],"struggle":[63],"to":[64,104,122,166,190,231],"what":[66,73],"demonstrator":[68],"intends":[69],"rather":[70],"than":[71],"merely":[72],"they":[74],"do.":[75],"We":[76,111],"introduce":[77],"The":[78,226],"Imitator":[79,147,232],"Game,":[80],"four-level":[82],"benchmark":[83],"(L0-L3)":[84],"that":[85,221],"progressively":[86],"widens":[87],"gap":[89],"between":[90],"demonstration":[93],"robot's":[96],"own":[97],"scene,":[98],"isolating":[99],"where":[100],"trajectory":[101],"ceases":[103],"suffice":[105],"task":[107],"understanding":[108],"becomes":[109],"necessary.":[110],"pair":[112],"IG-10K,":[115],"largest":[117],"environment-aligned":[118],"paired":[119,140,215],"human-robot":[120,216],"dataset":[121],"date":[123],"only":[126,213],"one":[127],"instantiated":[128],"across":[129],"all":[130],"four":[131],"levels":[132],"both":[134],"real":[135],"simulated":[137],"settings":[138],"(20,000+":[139],"episodes,":[141],"50+":[142],"tasks,":[143],"6":[144],"domains),":[145],"Arena,":[148],"an":[149],"open":[150],"platform":[151],"for":[152],"blind":[153],"A/B":[154],"evaluation.":[156],"Across":[157],"nine":[158],"state-of-the-art":[159],"models,":[160],"performance":[161],"is":[162],"stable":[163],"L0":[165],"L2":[167],"collapses":[169],"L3,":[171],"identifying":[172],"functional":[173],"substitution":[174],"-":[175,185],"achieving":[176],"same":[178],"intent":[179],"through":[180],"different":[182],"object":[183],"affordance":[184],"as":[186],"decisive":[188],"barrier":[189],"intent-level":[191],"imitation.":[192],"Human-video-conditioned":[193],"outperform":[195],"caption-conditioned":[196],"ones,":[197],"yet":[198],"every":[199],"model":[200],"falls":[201],"below":[202],"13%":[203],"zero-shot":[204],"success":[205],"on":[206],"unseen":[207],"tasks;":[208],"fine-tuning":[209],"IG-10K-pretrained":[210],"$10$":[214],"demonstrations":[217],"yields":[218],"large":[219],"gains":[220],"grow":[222],"pretraining":[224],"scale.":[225],"project":[227],"website":[228],"access":[230],"Arena":[233],"available":[235],"https://imitator-game.github.io.":[237]},"counts_by_year":[],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2026-08-26T00:00:00"}