{"id":"https://openalex.org/W7155215410","doi":"https://doi.org/10.48550/arxiv.2604.19689","title":"A-MAR: Agent-based Multimodal Art Retrieval for Fine-Grained Artwork Understanding","display_name":"A-MAR: Agent-based Multimodal Art Retrieval for Fine-Grained Artwork Understanding","publication_year":2026,"publication_date":"2026-04-21","ids":{"openalex":"https://openalex.org/W7155215410","doi":"https://doi.org/10.48550/arxiv.2604.19689"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.19689","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.19689","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.2604.19689","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134308093","display_name":"Shuai Wang","orcid":"https://orcid.org/0000-0003-3568-3879"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Shuai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134289065","display_name":"Hongyi Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Hongyi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091066062","display_name":"Jia-Hong Huang","orcid":"https://orcid.org/0000-0001-7943-2591"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Jia-Hong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134301463","display_name":"Yixian Shen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shen, Yixian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029631335","display_name":"Chengxi Zeng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zeng, Chengxi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075331928","display_name":"Stevan Rudinac","orcid":"https://orcid.org/0000-0003-1904-8736"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rudinac, Stevan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081752388","display_name":"Monika Kackovic","orcid":"https://orcid.org/0000-0002-7423-3902"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kackovic, Monika","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128805086","display_name":"Nachoem Wijnberg","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wijnberg, Nachoem","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5070684680","display_name":"Marcel Worring","orcid":"https://orcid.org/0000-0003-4097-4136"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Worring, Marcel","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/T12650","display_name":"Aesthetic Perception and Analysis","score":0.4000000059604645,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12650","display_name":"Aesthetic Perception and Analysis","score":0.4000000059604645,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.3878999948501587,"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":0.030799999833106995,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.7512999773025513},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.564300000667572},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5153999924659729},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4830999970436096},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.43560001254081726},{"id":"https://openalex.org/keywords/plan","display_name":"Plan (archaeology)","score":0.37059998512268066},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.3594000041484833},{"id":"https://openalex.org/keywords/common-ground","display_name":"Common ground","score":0.35040000081062317},{"id":"https://openalex.org/keywords/position-paper","display_name":"Position paper","score":0.3476000130176544}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7628999948501587},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7512999773025513},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.564300000667572},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5153999924659729},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49160000681877136},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4830999970436096},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.43560001254081726},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.37059998512268066},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.36169999837875366},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3596999943256378},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.3594000041484833},{"id":"https://openalex.org/C2777877512","wikidata":"https://www.wikidata.org/wiki/Q1116097","display_name":"Common ground","level":2,"score":0.35040000081062317},{"id":"https://openalex.org/C78780964","wikidata":"https://www.wikidata.org/wiki/Q7233193","display_name":"Position paper","level":2,"score":0.3476000130176544},{"id":"https://openalex.org/C2777508537","wikidata":"https://www.wikidata.org/wiki/Q7936620","display_name":"Visual reasoning","level":2,"score":0.34369999170303345},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.32690000534057617},{"id":"https://openalex.org/C89288958","wikidata":"https://www.wikidata.org/wiki/Q7301504","display_name":"Reasoning system","level":2,"score":0.3206999897956848},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.3188999891281128},{"id":"https://openalex.org/C20162079","wikidata":"https://www.wikidata.org/wiki/Q1151406","display_name":"Case-based reasoning","level":2,"score":0.3050999939441681},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.30230000615119934},{"id":"https://openalex.org/C2780910867","wikidata":"https://www.wikidata.org/wiki/Q1952416","display_name":"Multimodality","level":2,"score":0.29440000653266907},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.29339998960494995},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.2797999978065491},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.2775999903678894},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.2703999876976013},{"id":"https://openalex.org/C166088908","wikidata":"https://www.wikidata.org/wiki/Q308495","display_name":"Abductive reasoning","level":2,"score":0.2671999931335449},{"id":"https://openalex.org/C2776802673","wikidata":"https://www.wikidata.org/wiki/Q1548396","display_name":"Relevance theory","level":3,"score":0.25609999895095825}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.19689","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.19689","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.2604.19689","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.19689","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Understanding":[0],"artworks":[1],"requires":[2],"multi-step":[3,116,168],"reasoning":[4,29,55,72,104,117,169],"over":[5],"visual":[6],"content":[7],"and":[8,11,30,36,60,78,94,137,148,167,183,202],"cultural,":[9],"historical,":[10],"stylistic":[12],"context.":[13],"While":[14],"recent":[15],"multimodal":[16,181],"large":[17],"language":[18],"models":[19],"show":[20,139],"promise":[21],"in":[22,152,164],"artwork":[23,59],"explanation,":[24],"they":[25],"rely":[26],"on":[27,53,135,158],"implicit":[28],"internalized":[31],"knowl-":[32],"edge,":[33],"limiting":[34],"interpretability":[35],"explicit":[37],"evidence":[38,79,92,165],"grounding.":[39],"We":[40],"propose":[41],"A-MAR,":[42],"an":[43,58],"Agent-based":[44],"Multimodal":[45],"Art":[46],"Retrieval":[47,84],"framework":[48],"that":[49,74,127,140],"explicitly":[50],"conditions":[51],"retrieval":[52,147,178],"structured":[54,71],"plans.":[56],"Given":[57],"a":[61,70,124,187],"user":[62],"query,":[63],"A-MAR":[64,141,185],"first":[65],"decomposes":[66],"the":[67,76,106,174],"task":[68],"into":[69],"plan":[73],"specifies":[75],"goals":[77],"requirements":[80],"for":[81,119,179],"each":[82],"step.":[83],"is":[85],"then":[86],"conditionedon":[87],"this":[88],"plan,":[89],"enabling":[90,123],"targeted":[91],"selection":[93],"supporting":[95],"step-wise,":[96],"grounded":[97],"explanations.":[98],"To":[99],"evaluate":[100],"agent-based":[101],"multi-":[102],"modal":[103],"within":[105],"art":[107],"domain,":[108],"we":[109],"introduce":[110],"ArtCoT-QA.":[111],"This":[112],"diagnostic":[113],"benchmark":[114],"features":[115],"chains":[118],"diverse":[120],"art-related":[121],"queries,":[122],"granular":[125],"analysis":[126],"extends":[128],"beyond":[129],"simple":[130],"final":[131,153],"answer":[132],"accuracy.":[133],"Experiments":[134],"SemArt":[136],"Artpedia":[138],"consistently":[142],"outperforms":[143],"static,":[144],"non":[145],"planned":[146],"strong":[149],"MLLM":[150],"baselines":[151],"explanation":[154],"quality,":[155],"while":[156],"evaluations":[157],"ArtCoT-QA":[159],"further":[160],"demonstrate":[161],"its":[162],"advantages":[163],"grounding":[166],"ability.":[170],"These":[171],"results":[172],"highlight":[173],"importance":[175],"of":[176],"reasoning-conditioned":[177],"knowledge-intensive":[180],"understanding":[182],"position":[184],"as":[186],"step":[188],"toward":[189],"interpretable,":[190],"goal-driven":[191],"AI":[192],"systems,":[193],"with":[194],"particular":[195],"relevance":[196],"to":[197],"cultural":[198],"industries.":[199],"The":[200],"code":[201],"data":[203],"are":[204],"available":[205],"at:":[206],"https://github.com/ShuaiWang97/A-MAR.":[207]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-23T00:00:00"}