{"id":"https://openalex.org/W7161041920","doi":"https://doi.org/10.48550/arxiv.2605.11814","title":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","display_name":"MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare","publication_year":2026,"publication_date":"2026-05-12","ids":{"openalex":"https://openalex.org/W7161041920","doi":"https://doi.org/10.48550/arxiv.2605.11814"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.11814","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.11814","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.2605.11814","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136068904","display_name":"Yihao Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yihao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136015838","display_name":"Haoran Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Haoran","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136038096","display_name":"Renjie Gu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gu, Renjie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136061906","display_name":"Yixuan Ye","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ye, Yixuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136076702","display_name":"Xinyi Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Xinyi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136038406","display_name":"Xinyu Mu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mu, Xinyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136003302","display_name":"Yuan Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gao, Yuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068097467","display_name":"Chunxiao Guo","orcid":"https://orcid.org/0000-0001-5213-9870"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guo, Chunxiao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136051631","display_name":"Peng Wei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei, Peng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136022368","display_name":"Jinjie Gu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gu, Jinjie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136068664","display_name":"Huan Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Huan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136015563","display_name":"Ke Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Ke","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5103017455","display_name":"Lidan Shou","orcid":"https://orcid.org/0000-0001-8062-8356"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shou, Lidan","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/T13702","display_name":"Machine Learning in Healthcare","score":0.5490999817848206,"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"}},"topics":[{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.5490999817848206,"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/T11519","display_name":"Digital Mental Health Interventions","score":0.09070000052452087,"subfield":{"id":"https://openalex.org/subfields/3202","display_name":"Applied Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.03060000017285347,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.8820000290870667},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.5238000154495239},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.4984999895095825},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48019999265670776},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.4790000021457672},{"id":"https://openalex.org/keywords/mainstream","display_name":"Mainstream","score":0.4171000123023987}],"concepts":[{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.8820000290870667},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6988999843597412},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.5238000154495239},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.4984999895095825},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48019999265670776},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.4790000021457672},{"id":"https://openalex.org/C2777617010","wikidata":"https://www.wikidata.org/wiki/Q18957","display_name":"Mainstream","level":2,"score":0.4171000123023987},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.4050000011920929},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4011000096797943},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3424000144004822},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.3321000039577484},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.3059999942779541},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.2946999967098236},{"id":"https://openalex.org/C511192102","wikidata":"https://www.wikidata.org/wiki/Q5156948","display_name":"Comprehension","level":2,"score":0.2840999960899353},{"id":"https://openalex.org/C32220436","wikidata":"https://www.wikidata.org/wiki/Q2072214","display_name":"Personalized medicine","level":2,"score":0.27880001068115234},{"id":"https://openalex.org/C195094911","wikidata":"https://www.wikidata.org/wiki/Q14167904","display_name":"Process management","level":1,"score":0.26159998774528503},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.25459998846054077},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.11814","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.11814","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.2605.11814","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.11814","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":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5696693062782288}],"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],"large-scale":[1],"deployment":[2],"of":[3,17,36,46,54,56,130],"personalized":[4],"healthcare":[5],"agents":[6],"demands":[7],"memory":[8,116,131],"mechanisms":[9],"that":[10],"are":[11],"exceptionally":[12],"precise,":[13],"safe,":[14],"and":[15,94,124,140,156],"capable":[16],"long-term":[18],"clinical":[19],"tracking.":[20],"However,":[21],"existing":[22],"benchmarks":[23],"primarily":[24],"focus":[25],"on":[26,76],"daily":[27],"open-domain":[28],"conversations,":[29],"failing":[30],"to":[31,68],"capture":[32],"the":[33,42,127],"high-stakes":[34],"complexity":[35],"real-world":[37],"medical":[38,73,154,173],"applications.":[39],"Motivated":[40],"by":[41,105],"stringent":[43],"production":[44,119],"requirements":[45],"an":[47,107],"industry-leading":[48],"health":[49],"management":[50],"agent":[51],"serving":[52],"tens":[53],"millions":[55],"active":[57],"users,":[58],"we":[59,122],"introduce":[60],"MedMemoryBench.":[61],"We":[62],"develop":[63],"a":[64,85,166],"human-agent":[65],"collaborative":[66],"pipeline":[67],"synthesize":[69],"highly":[70],"realistic,":[71],"long-horizon":[72],"trajectories":[74],"based":[75],"clinically":[77],"grounded,":[78],"synthetic":[79],"patient":[80],"archetypes.":[81],"This":[82],"process":[83],"yields":[84],"massive,":[86],"expertly":[87],"validated":[88],"dataset":[89],"comprising":[90],"approximately":[91],"2,000":[92],"sessions":[93],"16,000":[95],"interaction":[96],"turns.":[97],"Crucially,":[98],"MedMemoryBench":[99,164],"departs":[100],"from":[101],"traditional":[102],"static":[103],"evaluations":[104],"pioneering":[106],"\"evaluate-while-constructing\"":[108],"streaming":[109],"assessment":[110],"protocol,":[111],"which":[112],"precisely":[113],"mirrors":[114],"dynamic":[115],"accumulation":[117],"in":[118,148],"environments.":[120],"Furthermore,":[121],"formalize":[123],"systematically":[125],"investigate":[126],"critical":[128],"phenomenon":[129],"saturation,":[132],"where":[133],"sustained":[134],"information":[135],"influx":[136],"actively":[137],"degrades":[138],"retrieval":[139],"reasoning":[141,155],"robustness.":[142],"Comprehensive":[143],"benchmarking":[144],"reveals":[145],"severe":[146],"bottlenecks":[147],"mainstream":[149],"architectures,":[150],"particularly":[151],"concerning":[152],"complex":[153],"noise":[157],"resilience.":[158],"By":[159],"exposing":[160],"these":[161],"fundamental":[162],"flaws,":[163],"establishes":[165],"vital":[167],"foundation":[168],"for":[169],"developing":[170],"robust,":[171],"production-ready":[172],"agents.":[174]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-14T00:00:00"}
