{"id":"https://openalex.org/W7155075337","doi":"https://doi.org/10.48550/arxiv.2604.17351","title":"SOCIA-EVO: Automated Simulator Construction via Dual-Anchored Bi-Level Optimization","display_name":"SOCIA-EVO: Automated Simulator Construction via Dual-Anchored Bi-Level Optimization","publication_year":2026,"publication_date":"2026-04-19","ids":{"openalex":"https://openalex.org/W7155075337","doi":"https://doi.org/10.48550/arxiv.2604.17351"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.17351","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.17351","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,"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":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.17351","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056256808","display_name":"Yuncheng Hua","orcid":"https://orcid.org/0000-0002-4238-5071"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hua, Yuncheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134124348","display_name":"Sion Weatherhead","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weatherhead, Sion","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001621135","display_name":"Mehdi Jafar\u0131","orcid":"https://orcid.org/0000-0002-2890-9967"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jafari, Mehdi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000564739","display_name":"Hao Xue","orcid":"https://orcid.org/0000-0003-1700-9215"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xue, Hao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5090893421","display_name":"Flora D. Salim","orcid":"https://orcid.org/0000-0002-1237-1664"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Salim, Flora D.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.125,"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"}},"topics":[{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.125,"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/T11195","display_name":"Simulation Techniques and Applications","score":0.11999999731779099,"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/T11986","display_name":"Scientific Computing and Data Management","score":0.0982000008225441,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.6396999955177307},{"id":"https://openalex.org/keywords/blueprint","display_name":"Blueprint","score":0.6017000079154968},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5595999956130981},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.34599998593330383},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.3375000059604645},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.3285999894142151},{"id":"https://openalex.org/keywords/program-optimization","display_name":"Program optimization","score":0.321399986743927},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.3158000111579895}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6827999949455261},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.6396999955177307},{"id":"https://openalex.org/C155911762","wikidata":"https://www.wikidata.org/wiki/Q422321","display_name":"Blueprint","level":2,"score":0.6017000079154968},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5595999956130981},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.37929999828338623},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.34599998593330383},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.3375000059604645},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.3285999894142151},{"id":"https://openalex.org/C139571649","wikidata":"https://www.wikidata.org/wiki/Q1156793","display_name":"Program optimization","level":3,"score":0.321399986743927},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3158999979496002},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.3158000111579895},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.31200000643730164},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.305400013923645},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.29670000076293945},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.29580000042915344},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.28349998593330383},{"id":"https://openalex.org/C2988963302","wikidata":"https://www.wikidata.org/wiki/Q629206","display_name":"Program code","level":2,"score":0.2799000144004822},{"id":"https://openalex.org/C149810388","wikidata":"https://www.wikidata.org/wiki/Q5374873","display_name":"Emulation","level":2,"score":0.27900001406669617},{"id":"https://openalex.org/C147203929","wikidata":"https://www.wikidata.org/wiki/Q574814","display_name":"Discrete event simulation","level":2,"score":0.2777000069618225},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2678000032901764},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.26089999079704285},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.258899986743927},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.25679999589920044},{"id":"https://openalex.org/C32155586","wikidata":"https://www.wikidata.org/wiki/Q212569","display_name":"Simula","level":2,"score":0.2531999945640564}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.17351","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.17351","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,"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":"doi:10.48550/arxiv.2604.17351","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.17351","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,"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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5246848464012146}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Automated":[0],"simulator":[1],"construction":[2],"requires":[3],"distributional":[4],"fidelity,":[5],"distinguishing":[6],"it":[7],"from":[8,27,58],"generic":[9],"code":[10,95],"generation.":[11],"We":[12,33],"identify":[13],"two":[14],"failure":[15],"modes":[16],"in":[17],"long-horizon":[18],"LLM":[19],"agents:":[20],"contextual":[21],"drift":[22],"and":[23,30,61,96],"optimization":[24,53],"instability":[25],"arising":[26],"conflating":[28],"structural":[29,56],"parametric":[31],"errors.":[32],"propose":[34],"SOCIA-EVO,":[35],"a":[36,43,51,63],"dual-anchored":[37],"evolutionary":[38],"framework.":[39],"SOCIA-EVO":[40,81,99],"introduces:":[41],"(1)":[42],"static":[44],"blueprint":[45],"to":[46,54],"enforce":[47],"empirical":[48],"constraints;":[49],"(2)":[50],"bi-level":[52],"decouple":[55],"refinement":[57],"parameter":[59],"calibration;":[60],"(3)":[62],"self-curating":[64],"Strategy":[65],"Playbook":[66],"that":[67,87],"manages":[68],"remedial":[69],"hypotheses":[70],"via":[71],"Bayesian-weighted":[72],"retrieval.":[73],"By":[74],"falsifying":[75],"ineffective":[76],"strategies":[77],"through":[78],"execution":[79],"feedback,":[80],"achieves":[82],"robust":[83],"convergence,":[84],"generating":[85],"simulators":[86],"are":[88,100],"statistically":[89],"consistent":[90],"with":[91],"observational":[92],"data.":[93],"The":[94],"data":[97],"of":[98],"available":[101],"here:":[102],"https://github.com/cruiseresearchgroup/SOCIA/tree/evo.":[103]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-04-22T00:00:00"}
