{"id":"https://openalex.org/W7138837652","doi":"https://doi.org/10.48550/arxiv.2603.16751","title":"Finding Common Ground in a Sea of Alternatives","display_name":"Finding Common Ground in a Sea of Alternatives","publication_year":2026,"publication_date":"2026-03-17","ids":{"openalex":"https://openalex.org/W7138837652","doi":"https://doi.org/10.48550/arxiv.2603.16751"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.16751","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.16751","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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.16751","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129873951","display_name":"Jay Chooi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chooi, Jay","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130066209","display_name":"Paul G\u00f6lz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"G\u00f6lz, Paul","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130150659","display_name":"Ariel D. Procaccia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Procaccia, Ariel D.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013165219","display_name":"Benjamin F. Schiffer","orcid":"https://orcid.org/0000-0001-8951-2157"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Schiffer, Benjamin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5130063923","display_name":"Shirley Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Shirley","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/T10991","display_name":"Game Theory and Voting Systems","score":0.7674000263214111,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10991","display_name":"Game Theory and Voting Systems","score":0.7674000263214111,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.08510000258684158,"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"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.019600000232458115,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/veto","display_name":"Veto","score":0.8507000207901001},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.659600019454956},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.6432999968528748},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6367999911308289},{"id":"https://openalex.org/keywords/social-choice-theory","display_name":"Social choice theory","score":0.6043000221252441},{"id":"https://openalex.org/keywords/statement","display_name":"Statement (logic)","score":0.5781999826431274},{"id":"https://openalex.org/keywords/majority-rule","display_name":"Majority rule","score":0.4814000129699707}],"concepts":[{"id":"https://openalex.org/C2776331573","wikidata":"https://www.wikidata.org/wiki/Q178074","display_name":"Veto","level":3,"score":0.8507000207901001},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.659600019454956},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.6432999968528748},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6367999911308289},{"id":"https://openalex.org/C189352744","wikidata":"https://www.wikidata.org/wiki/Q1971461","display_name":"Social choice theory","level":2,"score":0.6043000221252441},{"id":"https://openalex.org/C2777026412","wikidata":"https://www.wikidata.org/wiki/Q2684591","display_name":"Statement (logic)","level":2,"score":0.5781999826431274},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5012000203132629},{"id":"https://openalex.org/C153668964","wikidata":"https://www.wikidata.org/wiki/Q27636","display_name":"Majority rule","level":2,"score":0.4814000129699707},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47870001196861267},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.478300005197525},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.39559999108314514},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.38040000200271606},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.36059999465942383},{"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/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35040000081062317},{"id":"https://openalex.org/C2777877512","wikidata":"https://www.wikidata.org/wiki/Q1116097","display_name":"Common ground","level":2,"score":0.34779998660087585},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3287000060081482},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32499998807907104},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3061999976634979},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.30390000343322754},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.30140000581741333},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.2955999970436096},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2752000093460083},{"id":"https://openalex.org/C90329073","wikidata":"https://www.wikidata.org/wiki/Q914232","display_name":"Ask price","level":2,"score":0.27090001106262207},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2669999897480011}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.16751","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.16751","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.16751","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.16751","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":"Preprint"},"sustainable_development_goals":[{"score":0.47318100929260254,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0,126],"study":[1],"the":[2,38,42,78,84,119,137,157,172,198],"problem":[3],"of":[4,32,44,110,122,166,174,191],"selecting":[5],"a":[6,28,48,70,101,108,163],"statement":[7,46],"that":[8,132,152],"finds":[9],"common":[10,59,75],"ground":[11,76],"across":[12],"diverse":[13],"population":[14],"preferences.":[15],"Generative":[16],"AI":[17,35],"is":[18,62],"uniquely":[19],"suited":[20],"for":[21,54,73],"this":[22,55,66],"task":[23],"because":[24],"it":[25,52],"can":[26,155],"access":[27,117],"practically":[29],"infinite":[30,79],"set":[31],"statements,":[33],"but":[34],"systems":[36],"like":[37],"Habermas":[39],"machine":[40],"leave":[41],"choice":[43,182],"generated":[45],"to":[47,57,95,106,118],"voting":[49],"rule.":[50],"What":[51],"means":[53],"rule":[56],"find":[58],"ground,":[60],"however,":[61],"not":[63],"well-defined.":[64],"In":[65],"work,":[67],"we":[68,104,170],"propose":[69],"formal":[71],"model":[72],"finding":[74],"in":[77,136,189,197],"alternative":[80,135],"setting":[81],"based":[82],"on":[83],"proportional":[85,111,139,199],"veto":[86,112,140,200],"core":[87,113,141],"from":[88],"social":[89,181],"choice.":[90],"To":[91],"provide":[92],"guarantees":[93],"relative":[94],"these":[96],"infinitely":[97],"many":[98],"alternatives":[99,123],"and":[100,124,145,178],"large":[102],"population,":[103],"wish":[105],"satisfy":[107],"notion":[109],"using":[114,159],"only":[115],"query":[116],"unknown":[120],"distribution":[121],"voters.":[125],"design":[127],"an":[128,134],"efficient":[129],"sampling-based":[130,176],"algorithm":[131,154,177],"returns":[133],"(approximate)":[138],"with":[142],"high":[143],"probability":[144],"prove":[146],"matching":[147],"lower":[148],"bounds,":[149],"which":[150],"show":[151],"no":[153],"do":[156],"same":[158],"fewer":[160],"queries.":[161],"On":[162],"synthetic":[164],"dataset":[165],"preferences":[167],"over":[168],"text,":[169],"confirm":[171],"effectiveness":[173],"our":[175],"compare":[179],"other":[180],"methods":[183,188],"as":[184,186],"well":[185],"LLM-based":[187],"terms":[190],"how":[192],"reliably":[193],"they":[194],"produce":[195],"statements":[196],"core.":[201]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-20T00:00:00"}