{"id":"https://openalex.org/W7163689784","doi":"https://doi.org/10.48550/arxiv.2606.05689","title":"Causal Modeling of Selection in Evolution","display_name":"Causal Modeling of Selection in Evolution","publication_year":2026,"publication_date":"2026-06-04","ids":{"openalex":"https://openalex.org/W7163689784","doi":"https://doi.org/10.48550/arxiv.2606.05689"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.05689","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.05689","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.2606.05689","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137933551","display_name":"Haoyue Dai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dai, Haoyue","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006403327","display_name":"Zeyu Tang","orcid":"https://orcid.org/0000-0002-4423-4728"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tang, Zeyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136106291","display_name":"Peter Spirtes","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Spirtes, Peter","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137938767","display_name":"Kun Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Kun","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/T11252","display_name":"Evolutionary Game Theory and Cooperation","score":0.43149998784065247,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11252","display_name":"Evolutionary Game Theory and Cooperation","score":0.43149998784065247,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11764","display_name":"Evolution and Genetic Dynamics","score":0.29750001430511475,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10778","display_name":"Philosophy and History of Science","score":0.05050000175833702,"subfield":{"id":"https://openalex.org/subfields/1207","display_name":"History and Philosophy of Science"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/conflation","display_name":"Conflation","score":0.5764999985694885},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5401999950408936},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.45899999141693115},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4555000066757202},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.39419999718666077},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.38999998569488525},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.38600000739097595},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.37700000405311584}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6347000002861023},{"id":"https://openalex.org/C130440534","wikidata":"https://www.wikidata.org/wiki/Q14946528","display_name":"Conflation","level":2,"score":0.5764999985694885},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5401999950408936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.492000013589859},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48080000281333923},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.45899999141693115},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4555000066757202},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.39419999718666077},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.38999998569488525},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.38600000739097595},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.37700000405311584},{"id":"https://openalex.org/C11671645","wikidata":"https://www.wikidata.org/wiki/Q5054567","display_name":"Causal model","level":2,"score":0.3560999929904938},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.336899995803833},{"id":"https://openalex.org/C163504300","wikidata":"https://www.wikidata.org/wiki/Q2364925","display_name":"Causal structure","level":2,"score":0.3303000032901764},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.3278999924659729},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.30559998750686646},{"id":"https://openalex.org/C2988562018","wikidata":"https://www.wikidata.org/wiki/Q1063","display_name":"Biological evolution","level":2,"score":0.3034999966621399},{"id":"https://openalex.org/C171578705","wikidata":"https://www.wikidata.org/wiki/Q5418700","display_name":"Evolutionary dynamics","level":3,"score":0.289000004529953},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.2671000063419342},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.2551000118255615},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.25360000133514404}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.05689","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.05689","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.2606.05689","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.05689","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Understanding":[0],"potential":[1],"selection":[2,29],"in":[3,14,49,55,64,79],"data":[4,38,68,118,150],"is":[5,109],"crucial":[6],"for":[7,111,145],"causal":[8],"discovery;":[9],"we":[10,21,128],"argue":[11],"that":[12,106,133],"\"selection\"":[13],"common":[15],"narratives":[16],"takes":[17],"two":[18,93],"forms,":[19],"which":[20],"term":[22],"static":[23,112],"and":[24,84,95,138,142],"evolutionary":[25,136],"selection,":[26,54,137],"respectively.":[27],"Static":[28],"refers":[30],"to":[31,116,164],"a":[32,41,75,130,140],"one-shot":[33],"filtering":[34],"process":[35],"where":[36,66],"observed":[37,67],"consist":[39],"of":[40,43,46,61,102],"subset":[42],"the":[44,70,161,166],"population":[45],"interest,":[47],"as":[48,78],"survey":[50],"volunteer":[51],"bias.":[52],"Evolutionary":[53],"contrast,":[56],"operates":[57],"through":[58],"repeated":[59],"rounds":[60],"differential":[62],"fitness":[63],"reproduction,":[65],"constitute":[69],"latest":[71],"generation":[72],"shaped":[73],"by":[74],"historical":[76],"trajectory,":[77],"immune":[80],"adaptation,":[81],"antibiotic":[82],"resistance,":[83],"social":[85],"norm":[86],"emergence.":[87],"Existing":[88],"methods":[89],"largely":[90],"conflate":[91],"these":[92],"forms":[94],"rely":[96],"on":[97],"an":[98],"identical":[99],"graphical":[100],"model":[101,108,132],"selection.":[103],"We":[104],"show":[105],"this":[107],"valid":[110],"settings":[113],"but":[114],"fails":[115],"characterize":[117],"under":[119],"evolution,":[120],"yielding":[121],"false":[122],"discovery":[123],"results.":[124],"To":[125],"address":[126],"this,":[127],"introduce":[129],"new":[131],"specifically":[134],"characterizes":[135],"develop":[139],"sound":[141],"complete":[143],"procedure":[144],"identifying":[146],"such":[147],"models":[148],"from":[149,171],"across":[151],"one":[152],"or":[153,156],"multiple":[154],"environments":[155],"generations.":[157],"Experimental":[158],"results":[159],"validate":[160],"method's":[162],"ability":[163],"uncover":[165],"relevant":[167],"mechanisms":[168],"underlying":[169],"evolution":[170],"data.":[172]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-06T00:00:00"}