{"id":"https://openalex.org/W7161831006","doi":"https://doi.org/10.48550/arxiv.2605.19156","title":"How Far Are We From True Auto-Research?","display_name":"How Far Are We From True Auto-Research?","publication_year":2026,"publication_date":"2026-05-18","ids":{"openalex":"https://openalex.org/W7161831006","doi":"https://doi.org/10.48550/arxiv.2605.19156"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.19156","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.19156","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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.19156","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136552521","display_name":"Zhengxin Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Zhengxin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136574271","display_name":"Ning Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Ning","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136595569","display_name":"Sainyam Galhotra","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Galhotra, Sainyam","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136563501","display_name":"Claire Cardie","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cardie, Claire","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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.14630000293254852,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.14630000293254852,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12128","display_name":"AI in Service Interactions","score":0.10329999774694443,"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/T11986","display_name":"Scientific Computing and Data Management","score":0.05310000106692314,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5224999785423279},{"id":"https://openalex.org/keywords/acceptance-testing","display_name":"Acceptance testing","score":0.37790000438690186},{"id":"https://openalex.org/keywords/framing","display_name":"Framing (construction)","score":0.35019999742507935},{"id":"https://openalex.org/keywords/audit","display_name":"Audit","score":0.3328000009059906},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.31850001215934753},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.3176000118255615}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6349999904632568},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5224999785423279},{"id":"https://openalex.org/C131377759","wikidata":"https://www.wikidata.org/wiki/Q322514","display_name":"Acceptance testing","level":2,"score":0.37790000438690186},{"id":"https://openalex.org/C169087156","wikidata":"https://www.wikidata.org/wiki/Q2131593","display_name":"Framing (construction)","level":2,"score":0.35019999742507935},{"id":"https://openalex.org/C199521495","wikidata":"https://www.wikidata.org/wiki/Q181487","display_name":"Audit","level":2,"score":0.3328000009059906},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3197000026702881},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.31850001215934753},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.3176000118255615},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.30649998784065247},{"id":"https://openalex.org/C2781162219","wikidata":"https://www.wikidata.org/wiki/Q26250693","display_name":"Replicate","level":2,"score":0.3059999942779541},{"id":"https://openalex.org/C2777655017","wikidata":"https://www.wikidata.org/wiki/Q1501161","display_name":"Toolbox","level":2,"score":0.2978000044822693},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.28540000319480896},{"id":"https://openalex.org/C2779677306","wikidata":"https://www.wikidata.org/wiki/Q2732142","display_name":"Statistician","level":2,"score":0.2728999853134155},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.2587999999523163}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.19156","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.19156","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.19156","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.19156","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":"Preprint"},"sustainable_development_goals":[{"score":0.7085569500923157,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"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],"auto-research":[1],"systems":[2],"can":[3,143],"produce":[4,144],"complete":[5],"papers,":[6,84],"but":[7],"feasibility":[8],"is":[9,119,158],"not":[10],"the":[11,16,55,104,107,117,124,132,191,229,234,239,254],"same":[12],"as":[13,190],"quality,":[14],"and":[15,48,74,109,130,170,184,203],"field":[17],"still":[18,251],"lacks":[19],"a":[20,33,91,221,243],"systematic":[21],"study":[22],"of":[23,233,242],"how":[24],"good":[25],"agent-generated":[26,83,236],"papers":[27,145,237],"actually":[28],"are.":[29],"We":[30],"introduce":[31],"ResearchArena,":[32],"minimal":[34],"scaffold":[35],"that":[36,139,146,206,224,248],"lets":[37],"off-the-shelf":[38],"agents":[39,102,142,230],"(Claude":[40],"Code":[41,50,122,219],"using":[42,46,51],"Opus":[43],"4.6,":[44],"Codex":[45,210],"GPT-5.4,":[47],"Kimi":[49,218],"K2.5)":[52],"carry":[53],"out":[54],"full":[56],"research":[57,227],"loop":[58],"themselves":[59],"(ideation,":[60],"experimentation,":[61],"paper":[62],"writing,":[63],"self-refinement)":[64],"under":[65,87],"only":[66],"lightweight":[67],"guidance.":[68],"Across":[69],"13":[70],"computer":[71],"science":[72],"seeds":[73],"3":[75],"trials":[76],"per":[77],"agent-domain":[78],"pair,":[79],"ResearchArena":[80],"yields":[81],"117":[82,235],"each":[85],"evaluated":[86],"three":[88,196],"complementary":[89],"lenses:":[90],"manuscript-only":[92,150],"reviewer":[93],"(SAR),":[94],"an":[95,110],"artifact-aware":[96,179],"peer":[97],"review":[98],"(PR)":[99],"in":[100],"which":[101],"inspect":[103],"workspace":[105],"alongside":[106],"manuscript,":[108],"human":[111,134],"conducted":[112],"meta-review.":[113],"Under":[114,178],"SAR":[115,160],"alone":[116],"picture":[118,157],"optimistic:":[120],"Claude":[121],"obtains":[123],"highest":[125],"score,":[126],"outperforms":[127],"Analemma's":[128],"FARS,":[129],"matches":[131],"weighted-average":[133],"ICLR":[135],"2025":[136],"submission,":[137],"suggesting":[138],"minimally":[140],"scaffolded":[141],"look":[147],"competitive":[148],"on":[149],"review.":[151],"Manual":[152],"inspection,":[153],"however,":[154],"reveals":[155],"this":[156],"overstated:":[159],"scores":[161,181],"are":[162,207,250],"poorly":[163],"aligned":[164],"with":[165],"its":[166],"actual":[167],"acceptance":[168,240],"decisions":[169],"reward":[171],"plausible":[172],"framing":[173],"without":[174],"verifying":[175],"experimental":[176,188],"substance.":[177],"PR":[180],"drop":[182],"sharply,":[183],"manual":[185],"auditing":[186],"identifies":[187],"rigor":[189],"major":[192],"bottleneck,":[193],"decomposing":[194],"into":[195],"failure":[197],"modes":[198],"(fabricated":[199],"results,":[200],"underpowered":[201],"experiments,":[202],"plan/execution":[204],"mismatch)":[205],"highly":[208],"agent-dependent:":[209],"5%/8%":[211],"paper-vs-artifact":[212],"mismatch":[213],"/":[214],"fabricated":[215],"references":[216],"versus":[217],"77%/72%,":[220],"$\\sim$15$\\times$":[222],"spread":[223],"tracks":[225],"distinct":[226],"personas":[228],"develop.":[231],"None":[232],"reaches":[238],"bar":[241],"top-tier":[244],"venue.":[245],"This":[246],"suggests":[247],"we":[249],"gapped":[252],"from":[253],"true":[255],"auto-research.":[256]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-21T00:00:00"}