{"id":"https://openalex.org/W7161551249","doi":"https://doi.org/10.48550/arxiv.2605.15710","title":"SMMBench: A Benchmark for Source-Distributed Multimodal Agent Memory","display_name":"SMMBench: A Benchmark for Source-Distributed Multimodal Agent Memory","publication_year":2026,"publication_date":"2026-05-15","ids":{"openalex":"https://openalex.org/W7161551249","doi":"https://doi.org/10.48550/arxiv.2605.15710"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.15710","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.15710","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.2605.15710","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5104297727","display_name":"Huacan Chai","orcid":"https://orcid.org/0009-0006-4313-6516"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chai, Huacan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136365122","display_name":"Yukai Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yukai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087524444","display_name":"Yingxuan Yang","orcid":"https://orcid.org/0000-0002-0494-7440"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Yingxuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136444120","display_name":"Dan Peng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peng, Dan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136388996","display_name":"Yuanyi Song","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Song, Yuanyi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136443332","display_name":"Zhihui Fu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fu, Zhihui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136392538","display_name":"Weiwen Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Weiwen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136386425","display_name":"Jianghao Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Jianghao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136436487","display_name":"Jun Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Jun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136391375","display_name":"Weinan Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Weinan","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":0.4311000108718872,"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":0.4311000108718872,"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/T10028","display_name":"Topic Modeling","score":0.2802000045776367,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.05810000002384186,"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":0.6765000224113464},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.6431000232696533},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.48170000314712524},{"id":"https://openalex.org/keywords/multimodal-interaction","display_name":"Multimodal interaction","score":0.44679999351501465},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.3815999925136566},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.3598000109195709}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7537000179290771},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6765000224113464},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6431000232696533},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.48170000314712524},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4790000021457672},{"id":"https://openalex.org/C135641252","wikidata":"https://www.wikidata.org/wiki/Q738567","display_name":"Multimodal interaction","level":2,"score":0.44679999351501465},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.3815999925136566},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37940001487731934},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.3598000109195709},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3409000039100647},{"id":"https://openalex.org/C4441509","wikidata":"https://www.wikidata.org/wiki/Q6418787","display_name":"Multimodal therapy","level":2,"score":0.33379998803138733},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.32030001282691956},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.3037000000476837},{"id":"https://openalex.org/C2780910867","wikidata":"https://www.wikidata.org/wiki/Q1952416","display_name":"Multimodality","level":2,"score":0.26899999380111694}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.15710","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.15710","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.2605.15710","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.15710","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":{"Existing":[0],"benchmarks":[1],"for":[2,146],"multimodal":[3,37,77,98,137,147],"memory":[4,28,138],"reasoning":[5],"largely":[6],"evaluate":[7],"systems":[8,129],"within":[9,86],"pre-assembled":[10],"contexts,":[11],"but":[12],"under-evaluate":[13],"whether":[14,70],"agents":[15,71],"can":[16,72],"use":[17],"evidence":[18,43,78],"distributed":[19],"across":[20,46,80],"independently":[21],"originated":[22],"sources.":[23,118],"We":[24],"argue":[25],"that":[26,127],"source-distributed":[27,136],"composition":[29],"is":[30,44],"an":[31,140],"important":[32,141],"and":[33,56,75,123,142],"under-examined":[34],"bottleneck":[35],"in":[36,116],"agent":[38],"memory,":[39],"especially":[40],"when":[41],"relevant":[42],"fragmented":[45],"heterogeneous":[47],"artifacts":[48],"such":[49],"as":[50,139],"conversations,":[51],"profiles,":[52],"screenshots,":[53],"tables,":[54],"images,":[55],"documents.":[57],"To":[58],"address":[59],"this":[60],"gap,":[61],"we":[62],"introduce":[63],"Source-distributed":[64],"Multimodal":[65],"Memory":[66],"Benchmark(SMMBench),":[67],"which":[68],"measures":[69],"retrieve,":[73],"align,":[74],"compose":[76],"scattered":[79],"multiple":[81],"sources":[82],"rather":[83],"than":[84],"reason":[85],"a":[87],"single":[88],"curated":[89],"context.":[90],"SMMBench":[91],"evaluates":[92],"four":[93],"core":[94],"capabilities:":[95],"(1)":[96],"cross-source":[97],"reasoning;":[99,105],"(2)":[100],"conflict":[101],"resolution;":[102],"(3)":[103],"preference":[104],"(4)":[106],"memory-grounded":[107],"action":[108],"prediction.":[109],"The":[110],"benchmark":[111],"contains":[112],"1877":[113],"samples":[114],"grounded":[115],"264":[117],"Experiments":[119],"on":[120,132],"representative":[121],"memory-style":[122],"retrieval-based":[124],"baselines":[125],"show":[126],"current":[128],"still":[130,143],"struggle":[131],"these":[133],"capabilities,":[134],"positioning":[135],"under-evaluated":[144],"challenge":[145],"agents.":[148],"Our":[149],"data":[150],"are":[151],"available":[152],"at":[153],"https://huggingface.co/datasets/HuacanChai/SMMBench.":[154]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-19T00:00:00"}
