{"id":"https://openalex.org/W7147666601","doi":"https://doi.org/10.48550/arxiv.2603.27584","title":"Sci-Mind: Cognitively-Inspired Adversarial Debate for Autonomous Mathematical Modeling","display_name":"Sci-Mind: Cognitively-Inspired Adversarial Debate for Autonomous Mathematical Modeling","publication_year":2026,"publication_date":"2026-03-29","ids":{"openalex":"https://openalex.org/W7147666601","doi":"https://doi.org/10.48550/arxiv.2603.27584"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.27584","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.27584","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.27584","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Jia, Junhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jia, Junhao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Chen, Huangwei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Huangwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Sun, Ruiying","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Ruiying","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072449568","display_name":"Yanhui Song","orcid":"https://orcid.org/0000-0003-2456-222X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Song, Yanhui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Wang, Haishuai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Haishuai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125196174","display_name":"Haotong Luan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bu, Jiajun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5132699919","display_name":"Junhao Jia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Lei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.21879999339580536,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.21879999339580536,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.12349999696016312,"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"}},{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.06469999998807907,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6424999833106995},{"id":"https://openalex.org/keywords/blueprint","display_name":"Blueprint","score":0.5963000059127808},{"id":"https://openalex.org/keywords/executable","display_name":"Executable","score":0.47859999537467957},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4625999927520752},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4593000113964081},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4560000002384186},{"id":"https://openalex.org/keywords/autonomous-agent","display_name":"Autonomous agent","score":0.39089998602867126},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.37860000133514404},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.36579999327659607}],"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/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6424999833106995},{"id":"https://openalex.org/C155911762","wikidata":"https://www.wikidata.org/wiki/Q422321","display_name":"Blueprint","level":2,"score":0.5963000059127808},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4860999882221222},{"id":"https://openalex.org/C160145156","wikidata":"https://www.wikidata.org/wiki/Q778586","display_name":"Executable","level":2,"score":0.47859999537467957},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4625999927520752},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4593000113964081},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4560000002384186},{"id":"https://openalex.org/C13687954","wikidata":"https://www.wikidata.org/wiki/Q4826847","display_name":"Autonomous agent","level":2,"score":0.39089998602867126},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.37860000133514404},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.36579999327659607},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.362199991941452},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.3578000068664551},{"id":"https://openalex.org/C37228920","wikidata":"https://www.wikidata.org/wiki/Q1307600","display_name":"Experiential learning","level":2,"score":0.34369999170303345},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.3434000015258789},{"id":"https://openalex.org/C13184196","wikidata":"https://www.wikidata.org/wiki/Q9453","display_name":"Dialectic","level":2,"score":0.34220001101493835},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.29420000314712524},{"id":"https://openalex.org/C179603123","wikidata":"https://www.wikidata.org/wiki/Q1941921","display_name":"Modeling language","level":3,"score":0.2777000069618225},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.27619999647140503},{"id":"https://openalex.org/C193221554","wikidata":"https://www.wikidata.org/wiki/Q5153664","display_name":"Commonsense reasoning","level":2,"score":0.2685000002384186},{"id":"https://openalex.org/C105002631","wikidata":"https://www.wikidata.org/wiki/Q4833645","display_name":"Subject-matter expert","level":3,"score":0.26809999346733093},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.2678999900817871},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.26649999618530273},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2624000012874603},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.2615000009536743},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.2587999999523163},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.2549000084400177},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.25429999828338623},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.2517000138759613}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.27584","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.27584","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.27584","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.27584","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Real-world":[0],"mathematical":[1,113],"modeling":[2,93,166],"is":[3],"inherently":[4],"an":[5,105],"experiential":[6],"and":[7,26,62,92,115,154,168],"collaborative":[8],"endeavor.":[9],"Domain":[10],"experts":[11],"rarely":[12],"solve":[13],"complex":[14],"problems":[15],"from":[16,23],"scratch;":[17],"instead,":[18],"they":[19],"draw":[20],"upon":[21],"analogies":[22],"historical":[24,100],"cases":[25],"subject":[27],"their":[28],"hypotheses":[29],"to":[30,56,87,125],"rigorous":[31],"peer":[32],"scrutiny.":[33],"However,":[34],"autonomous":[35,147,162],"agents":[36,163],"powered":[37],"by":[38],"Large":[39],"Language":[40],"Models":[41],"predominantly":[42],"rely":[43],"on":[44,151],"isolated":[45],"reasoning":[46,98],"paradigms,":[47],"frequently":[48],"generating":[49],"plausible":[50],"but":[51,128],"fundamentally":[52],"flawed":[53],"models":[54],"due":[55],"a":[57,72,110,116],"lack":[58],"of":[59],"domain":[60],"grounding":[61,96],"adversarial":[63],"verification.":[64],"To":[65],"address":[66],"these":[67],"limitations,":[68],"we":[69],"propose":[70],"Sci-Mind,":[71],"novel":[73],"framework":[74],"that":[75,157],"mirrors":[76],"the":[77,152],"human":[78],"scientific":[79],"discovery":[80],"process.":[81],"Sci-Mind":[82,158],"integrates":[83],"Experiential":[84],"Memory":[85],"Recall":[86],"retrieve":[88],"executable":[89],"code":[90,143,169],"snippets":[91],"paradigm":[94],"descriptors,":[95],"abstract":[97],"in":[99,164],"solutions.":[101],"Subsequently,":[102],"it":[103],"employs":[104],"Adversarial":[106],"Cognitive":[107],"Dialectic":[108],"where":[109],"Theorist":[111],"optimizing":[112],"coherence":[114],"Pragmatist":[117],"enforcing":[118],"data":[119],"feasibility":[120],"debate":[121],"through":[122,139],"competing":[123],"objectives":[124],"prune":[126],"elegant":[127],"infeasible":[129],"formulations.":[130],"A":[131],"Self-Validating":[132],"Execution":[133],"Strategy":[134],"further":[135],"ensures":[136],"blueprint":[137],"consistency":[138],"formal":[140],"predicates":[141],"before":[142],"generation,":[144],"achieving":[145],"fully":[146],"execution.":[148],"Extensive":[149],"experiments":[150],"MM-Bench":[153],"EngiBench":[155],"demonstrate":[156],"significantly":[159],"outperforms":[160],"leading":[161],"both":[165],"rigorousness":[167],"executability.":[170]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-02T00:00:00"}