{"id":"https://openalex.org/W7225318809","doi":"https://doi.org/10.5281/zenodo.23979452","title":"Can AI reason from inside a tradition? A preregistered benchmark for tradition fidelity in language models","display_name":"Can AI reason from inside a tradition? A preregistered benchmark for tradition fidelity in language models","publication_year":2026,"publication_date":"2026-11-05","ids":{"openalex":"https://openalex.org/W7225318809","doi":"https://doi.org/10.5281/zenodo.23979452"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.23979452","doi":"https://doi.org/10.5281/zenodo.23979452","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23979452","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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-journal"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.23979452","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5160753055","display_name":"Hector Ibarra","orcid":"https://orcid.org/0000-0003-1063-8473","observed_orcids":["https://orcid.org/0000-0003-1063-8473"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ibarra, Hector","raw_affiliation_strings":["WhatIfWe"],"raw_orcid":"https://orcid.org/0000-0003-1063-8473","affiliations":[{"raw_affiliation_string":"WhatIfWe","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5160753055"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.8090999722480774,"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.8090999722480774,"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/T10028","display_name":"Topic Modeling","score":0.12939999997615814,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.011099999770522118,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/language-models","display_name":"language models","score":0.7009999752044678},{"id":"https://openalex.org/keywords/source-citation","display_name":"referencing","score":0.5860000252723694},{"id":"https://openalex.org/keywords/cultural-values","display_name":"cultural values","score":0.39399999380111694},{"id":"https://openalex.org/keywords/ai-alignment","display_name":"AI alignment","score":0.4020000100135803},{"id":"https://openalex.org/keywords/benchmark-design","display_name":"benchmark design","score":0.34599998593330383}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6175000071525574},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6097000241279602},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.5733000040054321},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5220999717712402},{"id":"https://openalex.org/C43169469","wikidata":"https://www.wikidata.org/wiki/Q580922","display_name":"Preprint","level":2,"score":0.4788999855518341},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.46709999442100525},{"id":"https://openalex.org/C55958113","wikidata":"https://www.wikidata.org/wiki/Q169480","display_name":"Indigenous","level":2,"score":0.4641000032424927},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.4352000057697296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4293000102043152},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3984000086784363},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.36970001459121704},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.365200012922287},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.32659998536109924},{"id":"https://openalex.org/C2780138299","wikidata":"https://www.wikidata.org/wiki/Q3404265","display_name":"Privilege (computing)","level":2,"score":0.3154999911785126},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.31139999628067017},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.3028999865055084},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.2987000048160553},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.29409998655319214},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.2930000126361847},{"id":"https://openalex.org/C2775941552","wikidata":"https://www.wikidata.org/wiki/Q25212305","display_name":"Isolation (microbiology)","level":2,"score":0.2759999930858612},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.26170000433921814},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.25290000438690186}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.23979452","doi":"https://doi.org/10.5281/zenodo.23979452","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23979452","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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-journal"},{"id":"doi:10.5281/zenodo.23979453","doi":"https://doi.org/10.5281/zenodo.23979453","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23979453","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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-journal"}],"best_oa_location":{"id":"doi:10.5281/zenodo.23979452","doi":"https://doi.org/10.5281/zenodo.23979452","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23979452","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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-journal"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W6885183784","https://openalex.org/W7210278055","https://openalex.org/W7171946201","https://openalex.org/W7223795628","https://openalex.org/W4416036241","https://openalex.org/W7155065994","https://openalex.org/W7223052937","https://openalex.org/W4417448910","https://openalex.org/W7165772176","https://openalex.org/W7216361073"],"abstract_inverted_index":{"Language":[0],"models":[1],"are":[2,104,178],"increasingly":[3],"asked":[4],"to":[5,57,106,128],"speak":[6],"for":[7,140,154,157],"cultures,":[8],"religions":[9],"and":[10,15,46,67,83,117,135,156,170,192],"other":[11],"ways":[12],"of":[13],"knowing,":[14],"recent":[16],"work":[17],"suggests":[18],"they":[19,65],"often":[20,182],"adopt":[21],"a":[22,28,35,54,124,136,172],"tradition's":[23],"voice":[24],"while":[25],"reasoning":[26],"from":[27],"narrower":[29],"default.":[30],"A":[31],"2026":[32],"preprint":[33],"describes":[34],"\"persona":[36],"illusion\"":[37],"on":[38,100],"ethical":[39],"dilemmas":[40],"rooted":[41],"in":[42,133,147],"Indigenous":[43],"contexts;":[44],"Agarwal":[45],"colleagues":[47],"find":[48],"that":[49,68],"an":[50],"average":[51],"American":[52],"is":[53,88,113,161,190,195],"closer":[55],"match":[56],"Indian":[58],"cultural":[59],"values":[60],"than":[61,183],"any":[62],"Indian-trained":[63],"model":[64,126,138],"tested,":[66],"prompting":[69],"does":[70],"not":[71,84,179,199],"meaningfully":[72],"improve":[73],"alignment.":[74],"Whether":[75],"this":[76],"gap":[77],"can":[78],"be":[79],"closed":[80],"by":[81,86,115],"architecture,":[82],"only":[85,164],"instructions,":[87],"untested.":[89],"We":[90],"propose":[91],"the":[92,151,184,188,193],"WhatIfWe":[93],"Open":[94],"Benchmark,":[95],"which":[96],"compares":[97],"three":[98],"conditions":[99],"problems":[101],"where":[102],"traditions":[103,142],"known":[105],"reason":[107],"differently:":[108],"tradition-grounded":[109],"agents,":[110],"whose":[111,118],"retrieval":[112],"partitioned":[114],"tradition":[116,132,149],"claims":[119],"must":[120],"cite":[121],"their":[122],"sources;":[123],"single":[125,137,186],"prompted":[127,185],"answer":[129],"as":[130],"each":[131,148],"turn;":[134],"answering":[139],"all":[141],"at":[143],"once.":[144],"Practitioners":[145],"formed":[146],"judge":[150],"outputs":[152],"blind":[153],"identification":[155],"fidelity.":[158],"The":[159],"benchmark":[160],"preregistered,":[162],"needs":[163],"published":[165],"texts":[166],"used":[167],"with":[168],"permission,":[169],"carries":[171],"stop":[173],"condition:":[174],"if":[175],"grounded":[176],"agents":[177],"identified":[180],"more":[181],"model,":[187],"hypothesis":[189],"falsified":[191],"result":[194],"published.":[196],"Working":[197],"paper,":[198],"peer":[200],"reviewed;":[201],"comments":[202],"welcome.":[203]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-11-06T00:00:00"}
