{"id":"https://openalex.org/W7140286693","doi":"https://doi.org/10.48550/arxiv.2603.23115","title":"AgentFoX: LLM Agent-Guided Fusion with eXplainability for AI-Generated Image Detection","display_name":"AgentFoX: LLM Agent-Guided Fusion with eXplainability for AI-Generated Image Detection","publication_year":2026,"publication_date":"2026-03-24","ids":{"openalex":"https://openalex.org/W7140286693","doi":"https://doi.org/10.48550/arxiv.2603.23115"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.23115","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.23115","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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.23115","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5130601712","display_name":"Yangxin Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yu, Yangxin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130626241","display_name":"Yue Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Yue","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130582861","display_name":"Bin Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Bin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130608238","display_name":"Kaiqing Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Kaiqing","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130627748","display_name":"Haodong Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Haodong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130621608","display_name":"Jiangqun Ni","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ni, Jiangqun","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5124394985","display_name":"Bo Cao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cao, Bo","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5130601712"],"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/T12357","display_name":"Digital Media Forensic Detection","score":0.819100022315979,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.819100022315979,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.03830000013113022,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.0142000000923872,"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/interpretability","display_name":"Interpretability","score":0.8324999809265137},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5508999824523926},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.3822999894618988},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.37790000438690186},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.3547999858856201},{"id":"https://openalex.org/keywords/expert-system","display_name":"Expert system","score":0.3402999937534332},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.32820001244544983},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.3156000077724457}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8324999809265137},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7411999702453613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5659000277519226},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5508999824523926},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.3822999894618988},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.37790000438690186},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3547999858856201},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.3402999937534332},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.32820001244544983},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31779998540878296},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.3156000077724457},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.30660000443458557},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.30469998717308044},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3018999993801117},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.29580000042915344},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2915000021457672},{"id":"https://openalex.org/C173414695","wikidata":"https://www.wikidata.org/wiki/Q5510276","display_name":"Fusion mechanism","level":4,"score":0.28630000352859497},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2799000144004822},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.27799999713897705},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2728999853134155},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.27059999108314514},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.2687999904155731},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.26649999618530273},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.2621999979019165},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2612999975681305}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.23115","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.23115","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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.23115","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.23115","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":"article"},"sustainable_development_goals":[{"score":0.7020439505577087,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"increasing":[1],"realism":[2],"of":[3,16,105,115,156],"AI-Generated":[4],"Images":[5],"(AIGI)":[6],"has":[7],"created":[8],"an":[9],"urgent":[10],"need":[11],"for":[12,136],"forensic":[13,126,160],"tools":[14],"capable":[15],"reliably":[17],"distinguishing":[18],"synthetic":[19],"content":[20],"from":[21],"authentic":[22],"imagery.":[23],"Existing":[24],"detectors":[25],"are":[26],"typically":[27],"tailored":[28],"to":[29,39,101],"specific":[30],"forgery":[31],"artifacts--such":[32],"as":[33,63],"frequency-domain":[34],"patterns":[35],"or":[36],"semantic":[37,97],"inconsistencies--leading":[38],"specialized":[40],"performance":[41],"and,":[42],"at":[43],"times,":[44],"conflicting":[45],"judgments.":[46],"To":[47],"address":[48],"these":[49],"limitations,":[50],"we":[51],"present":[52],"\\textbf{AgentFoX},":[53],"a":[54,64,72,78,117,123,141,148],"Large":[55],"Language":[56],"Model-driven":[57],"framework":[58],"that":[59,128,152],"redefines":[60],"AIGI":[61],"detection":[62,143],"dynamic,":[65],"multi-phase":[66],"analytical":[67],"process.":[68],"Our":[69],"approach":[70],"employs":[71],"quick-integration":[73],"fusion":[74],"mechanism":[75],"guided":[76],"by":[77],"curated":[79],"knowledge":[80],"base":[81],"comprising":[82],"calibrated":[83],"Expert":[84],"Profiles":[85],"and":[86,134,158],"contextual":[87],"Clustering":[88],"Profiles.":[89],"During":[90],"inference,":[91],"the":[92],"agent":[93],"begins":[94],"with":[95],"high-level":[96],"assessment,":[98],"then":[99],"transitions":[100],"fine-grained,":[102],"context-aware":[103],"synthesis":[104],"signal-level":[106],"expert":[107],"evidence,":[108],"resolving":[109],"contradictions":[110],"through":[111],"structured":[112],"reasoning.":[113],"Instead":[114],"returning":[116],"coarse":[118],"binary":[119],"output,":[120],"AgentFoX":[121],"produces":[122],"detailed,":[124],"human-readable":[125],"report":[127],"substantiates":[129],"its":[130],"verdict,":[131],"enhancing":[132],"interpretability":[133],"trustworthiness":[135],"real-world":[137],"deployment.":[138],"Beyond":[139],"providing":[140],"novel":[142],"solution,":[144],"this":[145],"work":[146],"introduces":[147],"scalable":[149],"agentic":[150],"paradigm":[151],"facilitates":[153],"intelligent":[154],"integration":[155],"future":[157],"evolving":[159],"tools.":[161]},"counts_by_year":[],"updated_date":"2026-03-26T06:10:45.909354","created_date":"2026-03-26T00:00:00"}
