{"id":"https://openalex.org/W7164404586","doi":"https://doi.org/10.48550/arxiv.2606.11447","title":"AI Coding Agents Can Reproduce Social Science Findings","display_name":"AI Coding Agents Can Reproduce Social Science Findings","publication_year":2026,"publication_date":"2026-06-09","ids":{"openalex":"https://openalex.org/W7164404586","doi":"https://doi.org/10.48550/arxiv.2606.11447"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.11447","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.11447","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.11447","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058797533","display_name":"Meysam Alizadeh","orcid":"https://orcid.org/0000-0001-6696-6471"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alizadeh, Meysam","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052536455","display_name":"Mohsen Mosleh","orcid":"https://orcid.org/0000-0001-7313-5035"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mosleh, Mohsen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046475081","display_name":"Fabrizio Gilardi","orcid":"https://orcid.org/0000-0002-0635-3048"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gilardi, Fabrizio","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138405157","display_name":"Atoosa Kasirzadeh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kasirzadeh, Atoosa","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5123192989","display_name":"Joshua Tucker","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tucker, Joshua","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/T13910","display_name":"Computational and Text Analysis Methods","score":0.4526999890804291,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.4526999890804291,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"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/T12090","display_name":"Language and cultural evolution","score":0.1404999941587448,"subfield":{"id":"https://openalex.org/subfields/3316","display_name":"Cultural Studies"},"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.05220000073313713,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.661300003528595},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5892999768257141},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.5249000191688538},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4129999876022339},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.38989999890327454},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.3880000114440918}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.683899998664856},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.661300003528595},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5892999768257141},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.5249000191688538},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5063999891281128},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4514999985694885},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4129999876022339},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40540000796318054},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.38989999890327454},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3880000114440918},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.358599990606308},{"id":"https://openalex.org/C59659247","wikidata":"https://www.wikidata.org/wiki/Q11990","display_name":"Reproduction","level":2,"score":0.3393999934196472},{"id":"https://openalex.org/C12590798","wikidata":"https://www.wikidata.org/wiki/Q3933199","display_name":"Replication (statistics)","level":2,"score":0.33239999413490295},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.2621000111103058},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.25440001487731934}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.11447","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.11447","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.11447","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.11447","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"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":{"Recent":[0],"anecdotal":[1],"evidence":[2],"suggests":[3],"that":[4,48,106,158,189,206],"AI":[5,232],"coding":[6,98,211],"agents":[7,134,140,190,212],"can":[8,108,191,213],"reproduce":[9,109],"published":[10],"findings":[11,204],"when":[12],"provided":[13],"with":[14,38,78,117],"original":[15,168],"data":[16],"and":[17,65,102,154,228],"code;":[18],"yet":[19],"systematic":[20],"evaluation":[21,28],"across":[22],"social":[23,114],"sciences":[24],"remains":[25],"limited.":[26],"Existing":[27],"benchmarks":[29],"are":[30,74,160],"insufficient,":[31],"either":[32,75],"small":[33],"or":[34,81],"conflate":[35],"agent":[36],"performance":[37,176],"problems":[39],"in":[40,237],"the":[41,167,223],"reproduction":[42,93,124,183],"materials":[43,80,173],"themselves,":[44],"such":[45],"as":[46,215,231],"code":[47],"fails":[49],"to":[50,85,90],"execute":[51],"correctly.":[52],"Here":[53],"we":[54,104],"introduce":[55],"SocSci-Repro-Bench,":[56],"a":[57,110,145],"benchmark":[58],"of":[59,113,150,218],"221":[60],"tasks":[61,181],"spanning":[62],"four":[63],"disciplines":[64],"13":[66],"substantive":[67],"domains,":[68],"constructed":[69],"from":[70],"studies":[71],"whose":[72],"results":[73,159],"fully":[76],"reproducible":[77],"available":[79],"demonstrably":[82],"non-reproducible":[83],"due":[84],"missing":[86],"data,":[87],"allowing":[88],"us":[89],"isolate":[91],"agents'":[92],"capacity.":[94],"Evaluating":[95],"two":[96],"frontier":[97,210],"agents,":[99],"Claude":[100,118],"Code":[101,119],"Codex,":[103],"find":[105],"both":[107],"large":[111],"share":[112],"science":[115],"findings,":[116],"substantially":[120],"outperforming":[121],"Codex.":[122],"These":[123],"rates":[125],"considerably":[126],"exceed":[127],"those":[128],"previously":[129],"reported":[130],"for":[131,225],"general-purpose":[132],"LLM-based":[133],"on":[135,144,180],"comparable":[136],"reproducibility":[137],"benchmarks.":[138],"Both":[139],"also":[141,187],"perform":[142],"strongly":[143],"reasoning":[146],"task":[147],"requiring":[148],"identification":[149],"underlying":[151],"research":[152],"questions,":[153],"additional":[155],"analyses":[156],"suggest":[157,205],"not":[161],"primarily":[162],"driven":[163],"by":[164],"memorization.":[165],"Providing":[166],"paper":[169],"PDF":[170],"alongside":[171],"replication":[172],"modestly":[174],"improves":[175],"but":[177],"introduces":[178],"bias":[179],"where":[182],"is":[184],"impossible.":[185],"We":[186],"show":[188],"be":[192],"nudged":[193],"toward":[194],"confirmatory":[195],"specification":[196],"search":[197],"through":[198],"subtle":[199],"prompt":[200,229],"framing.":[201],"Together,":[202],"these":[203],"at":[207],"least":[208],"some":[209],"serve":[214],"reliable":[216],"executors":[217],"computational":[219],"workflows":[220],"while":[221],"underscoring":[222],"need":[224],"careful":[226],"benchmarking":[227],"design":[230],"systems":[233],"assume":[234],"larger":[235],"roles":[236],"scientific":[238],"production.":[239]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-12T00:00:00"}