{"id":"https://openalex.org/W7154331835","doi":"https://doi.org/10.48550/arxiv.2604.10827","title":"Your Model Diversity, Not Method, Determines Reasoning Strategy","display_name":"Your Model Diversity, Not Method, Determines Reasoning Strategy","publication_year":2026,"publication_date":"2026-04-12","ids":{"openalex":"https://openalex.org/W7154331835","doi":"https://doi.org/10.48550/arxiv.2604.10827"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.10827","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.10827","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2604.10827","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034261952","display_name":"Moulik Choraria","orcid":"https://orcid.org/0000-0001-7609-3563"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Choraria, Moulik","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107496306","display_name":"Argyrios Gerogiannis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gerogiannis, Argyrios","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020807279","display_name":"Anirban Das","orcid":"https://orcid.org/0000-0002-7880-9454"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Das, Anirban","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133554662","display_name":"Supriyo Chakraborty","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chakraborty, Supriyo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133567683","display_name":"Berkcan Kapusuzoglu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kapusuzoglu, Berkcan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022717901","display_name":"Chia-Hsuan Lee","orcid":"https://orcid.org/0000-0002-9748-3015"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lee, Chia-Hsuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133612011","display_name":"Kartik Balasubramaniam","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Balasubramaniam, Kartik","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133595139","display_name":"Shi-Xiong Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Shi-Xiong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5113429333","display_name":"Sambit Sahu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sahu, Sambit","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":9,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.2906999886035919,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.2906999886035919,"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/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.1136000007390976,"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.08529999852180481,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/base","display_name":"Base (topology)","score":0.4903999865055084},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.47859999537467957},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.34060001373291016},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.3334999978542328},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.3102000057697296},{"id":"https://openalex.org/keywords/diversity","display_name":"Diversity (politics)","score":0.27399998903274536}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6743000149726868},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.4903999865055084},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.47859999537467957},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40130001306533813},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.34060001373291016},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.3334999978542328},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3246999979019165},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.3102000057697296},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.29600000381469727},{"id":"https://openalex.org/C2781316041","wikidata":"https://www.wikidata.org/wiki/Q1230584","display_name":"Diversity (politics)","level":2,"score":0.27399998903274536},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.26989999413490295},{"id":"https://openalex.org/C195344581","wikidata":"https://www.wikidata.org/wiki/Q2555318","display_name":"Automated reasoning","level":2,"score":0.2671999931335449},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26589998602867126},{"id":"https://openalex.org/C60044698","wikidata":"https://www.wikidata.org/wiki/Q1283324","display_name":"Refining (metallurgy)","level":2,"score":0.2646999955177307}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.10827","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.10827","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.10827","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.10827","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.48320472240448,"id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Compute":[0],"scaling":[1],"for":[2,24,116,127,137],"LLM":[3],"reasoning":[4,88],"requires":[5],"allocating":[6],"budget":[7],"between":[8],"exploring":[9],"solution":[10,66],"approaches":[11],"($breadth$)":[12],"and":[13,35,68,90,107],"refining":[14],"promising":[15],"solutions":[16],"($depth$).":[17],"Most":[18],"methods":[19],"implicitly":[20],"trade":[21],"off":[22],"one":[23],"the":[25,42,45,56,60],"other,":[26],"yet":[27],"why":[28],"a":[29,38,84],"given":[30],"trade-off":[31],"works":[32],"remains":[33],"unclear,":[34],"validation":[36],"on":[37,55,104,119],"single":[39],"model":[40,46],"obscures":[41],"role":[43],"of":[44,62],"itself.":[47],"We":[48,80,101],"argue":[49],"that":[50,69,112],"$\\textbf{the":[51],"optimal":[52],"strategy":[53,77],"depends":[54],"model's":[57],"diversity":[58],"profile,":[59],"spread":[61],"probability":[63],"mass":[64],"across":[65],"approaches,":[67],"this":[70,82],"must":[71],"be":[72],"characterized":[73],"before":[74],"any":[75],"exploration":[76,139],"is":[78],"adopted.}$":[79],"formalize":[81],"through":[83],"theoretical":[85],"framework":[86],"decomposing":[87],"uncertainty":[89],"derive":[91],"conditions":[92],"under":[93],"which":[94,131],"tree-style":[95],"depth":[96],"refinement":[97,118],"outperforms":[98],"parallel":[99],"sampling.":[100],"validate":[102],"it":[103],"Qwen-3":[105],"4B":[106],"Olmo-3":[108],"7B":[109],"families,":[110],"showing":[111],"lightweight":[113],"signals":[114],"suffice":[115],"depth-based":[117],"low-diversity":[120],"aligned":[121],"models":[122],"while":[123],"yielding":[124],"limited":[125],"utility":[126],"high-diversity":[128],"base":[129],"models,":[130],"we":[132],"hypothesize":[133],"require":[134],"stronger":[135],"compensation":[136],"lower":[138],"coverage.":[140]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-15T00:00:00"}
