{"id":"https://openalex.org/W7153340200","doi":"https://doi.org/10.48550/arxiv.2604.08211","title":"SciFigDetect: A Benchmark for AI-Generated Scientific Figure Detection","display_name":"SciFigDetect: A Benchmark for AI-Generated Scientific Figure Detection","publication_year":2026,"publication_date":"2026-04-09","ids":{"openalex":"https://openalex.org/W7153340200","doi":"https://doi.org/10.48550/arxiv.2604.08211"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.08211","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.08211","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.2604.08211","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101250369","display_name":"You Hu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, You","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133365002","display_name":"Chenzhuo Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Chenzhuo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133362081","display_name":"Changfa Mo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mo, Changfa","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133365288","display_name":"Haotian Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Haotian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5059165046","display_name":"Xiaobai Li","orcid":"https://orcid.org/0000-0002-9009-3153"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Xiaobai","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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.3571000099182129,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.3571000099182129,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11448","display_name":"Face recognition and analysis","score":0.0649000033736229,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.049800001084804535,"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/benchmark","display_name":"Benchmark (surveying)","score":0.8924999833106995},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6948000192642212},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5260999798774719},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.2831999957561493},{"id":"https://openalex.org/keywords/scientific-literature","display_name":"Scientific literature","score":0.27639999985694885}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8924999833106995},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7376999855041504},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6948000192642212},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5260999798774719},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46239998936653137},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3982999920845032},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3944000005722046},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38519999384880066},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2831999957561493},{"id":"https://openalex.org/C2781083858","wikidata":"https://www.wikidata.org/wiki/Q17327049","display_name":"Scientific literature","level":2,"score":0.27639999985694885},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.2599000036716461},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.2572999894618988}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.08211","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.08211","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.2604.08211","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.08211","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":[{"id":"https://metadata.un.org/sdg/16","score":0.8108054995536804,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Modern":[0],"multimodal":[1,90],"generators":[2],"can":[3,179],"now":[4],"produce":[5],"scientific":[6,26,72,173],"figures":[7,27],"at":[8,197],"near-publishable":[9],"quality,":[10],"creating":[11],"a":[12,39,107,159,182],"new":[13],"challenge":[14],"for":[15,57,70,184],"visual":[16],"forensics":[17],"and":[18,31,41,51,95,103,121,132,149,167,189],"research":[19,186],"integrity.":[20],"Unlike":[21],"conventional":[22],"AI-generated":[23,47,71],"natural":[24],"images,":[25],"are":[28,53],"structured,":[29],"text-dense,":[30],"tightly":[32],"aligned":[33,122],"with":[34],"scholarly":[35],"semantics,":[36],"making":[37],"them":[38,105],"distinct":[40],"difficult":[42],"detection":[43,49,165],"target.":[44],"However,":[45],"existing":[46,163],"image":[48],"benchmarks":[50],"methods":[52,139],"almost":[54],"entirely":[55],"developed":[56],"open-domain":[58],"imagery,":[59],"leaving":[60],"this":[61,177],"setting":[62],"largely":[63],"unexplored.":[64],"We":[65,125,175],"present":[66],"the":[67,168],"first":[68],"benchmark":[69,113,126,178],"figure":[73,116],"detection.":[74],"To":[75],"construct":[76],"it,":[77],"we":[78],"develop":[79],"an":[80],"agent-based":[81],"data":[82],"pipeline":[83],"that":[84,137],"retrieves":[85],"licensed":[86],"source":[87],"papers,":[88],"performs":[89],"understanding":[91],"of":[92,171],"paper":[93],"text":[94],"figures,":[96,102],"builds":[97],"structured":[98],"prompts,":[99],"synthesizes":[100],"candidate":[101],"filters":[104],"through":[106],"review-driven":[108],"refinement":[109],"loop.":[110],"The":[111,193],"resulting":[112],"covers":[114],"multiple":[115,118],"categories,":[117],"generation":[119],"sources":[120],"real--synthetic":[123],"pairs.":[124],"representative":[127],"detectors":[128],"under":[129,152],"zero-shot,":[130],"cross-generator,":[131],"degraded-image":[133],"settings.":[134],"Results":[135],"show":[136],"current":[138],"fail":[140],"dramatically":[141],"in":[142],"zero-shot":[143],"transfer,":[144],"exhibit":[145],"strong":[146],"generator-specific":[147],"overfitting,":[148],"remain":[150],"fragile":[151],"common":[153],"post-processing":[154],"corruptions.":[155],"These":[156],"findings":[157],"reveal":[158],"substantial":[160],"gap":[161],"between":[162],"AIGI":[164],"capabilities":[166],"emerging":[169],"distribution":[170],"high-quality":[172],"figures.":[174],"hope":[176],"serve":[180],"as":[181],"foundation":[183],"future":[185],"on":[187],"robust":[188],"generalizable":[190],"scientific-figure":[191],"forensics.":[192],"dataset":[194],"is":[195],"available":[196],"https://github.com/Joyce-yoyo/SciFigDetect.":[198]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-11T00:00:00"}