{"id":"https://openalex.org/W7164003140","doi":"https://doi.org/10.48550/arxiv.2606.09365","title":"Experience Makes Skillful: Enabling Generalizable Medical Agent Reasoning via Self-Evolving Skill Memory","display_name":"Experience Makes Skillful: Enabling Generalizable Medical Agent Reasoning via Self-Evolving Skill Memory","publication_year":2026,"publication_date":"2026-06-08","ids":{"openalex":"https://openalex.org/W7164003140","doi":"https://doi.org/10.48550/arxiv.2606.09365"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.09365","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.09365","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.2606.09365","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5138212625","display_name":"Haoran Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Haoran","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138253501","display_name":"Wenjie Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Wenjie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138279660","display_name":"Yujie Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Yujie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138206072","display_name":"Zekai Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Zekai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138273723","display_name":"Fanrui Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Fanrui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104264401","display_name":"Kaitao Chen","orcid":"https://orcid.org/0000-0001-8422-7920"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Kaitao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138205175","display_name":"Xingqi He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Xingqi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138220791","display_name":"Yichen Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Yichen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058203667","display_name":"Mianxin Liu","orcid":"https://orcid.org/0000-0001-5171-778X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Mianxin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138281018","display_name":"Lei Liu (5074)","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Lei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5138265512","display_name":"Yankai Jiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiang, Yankai","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/T10028","display_name":"Topic Modeling","score":0.21899999678134918,"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/T10028","display_name":"Topic Modeling","score":0.21899999678134918,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.20810000598430634,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.1412999927997589,"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/reuse","display_name":"Reuse","score":0.6970000267028809},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.6693000197410583},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4138999879360199},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4101000130176544},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.37630000710487366},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.30390000343322754}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7422999739646912},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.6970000267028809},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.6693000197410583},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.44589999318122864},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4138999879360199},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41130000352859497},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4101000130176544},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.37630000710487366},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3212999999523163},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.30390000343322754},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.29750001430511475},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2964000105857849},{"id":"https://openalex.org/C2778583558","wikidata":"https://www.wikidata.org/wiki/Q771245","display_name":"Code reuse","level":3,"score":0.2874000072479248},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.28450000286102295},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.25440001487731934},{"id":"https://openalex.org/C74072328","wikidata":"https://www.wikidata.org/wiki/Q1142726","display_name":"Intelligent agent","level":2,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.09365","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.09365","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.2606.09365","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.09365","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":[{"score":0.4900052845478058,"id":"https://metadata.un.org/sdg/16","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":{"Medical":[0],"agent":[1],"systems":[2],"are":[3,40,54],"increasingly":[4],"expected":[5],"to":[6,45,64,142],"support":[7],"interactive":[8],"clinical":[9,72,173],"decision":[10],"making":[11],"rather":[12],"than":[13],"only":[14],"static":[15],"question":[16],"answering.":[17],"In":[18],"such":[19],"settings,":[20],"effective":[21],"agents":[22,88,182],"must":[23],"reuse":[24],"prior":[25],"experience":[26,69],"across":[27,171,192],"evolving":[28],"cases,":[29],"yet":[30],"existing":[31],"memory":[32,92],"mechanisms":[33],"often":[34],"retain":[35],"raw":[36],"historical":[37],"traces":[38],"that":[39,85,105,176],"redundant,":[41],"noisy,":[42],"and":[43,67,110,120,130,139,146,166,186,195,202],"difficult":[44],"govern.":[46],"More":[47],"importantly,":[48],"they":[49],"rarely":[50],"distinguish":[51],"which":[52,125],"memories":[53,126],"truly":[55],"useful":[56,164],"for":[57,70],"future":[58],"reasoning.":[59,73],"This":[60],"limits":[61],"their":[62],"ability":[63],"accumulate":[65],"compact":[66],"reliable":[68],"long-horizon":[71],"To":[74,123],"close":[75],"this":[76],"gap,":[77],"we":[78],"propose":[79],"SkeMex,":[80],"a":[81,90,114],"post-deployment":[82],"self-evolution":[83],"framework":[84],"improves":[86],"medical":[87],"through":[89],"skill-based":[91],"without":[93],"updating":[94,161],"model":[95,193],"weights.":[96],"SkeMex":[97,132,177],"distills":[98],"informative":[99],"interaction":[100],"trajectories":[101],"into":[102,113],"structured":[103],"skills":[104],"encode":[106],"reusable":[107],"procedural":[108],"knowledge,":[109],"organizes":[111],"them":[112],"multi-branch":[115],"repository":[116,147],"spanning":[117],"general,":[118],"task-specific,":[119],"action-level":[121],"experience.":[122],"determine":[124],"should":[127],"be":[128,205],"reused":[129],"retained,":[131],"estimates":[133],"context-dependent":[134],"utility":[135],"from":[136],"environment":[137],"feedback":[138],"uses":[140],"it":[141],"guide":[143],"value-aware":[144],"retrieval":[145],"governance.":[148],"A":[149],"closed-loop":[150],"``Read--Write--Assess--Govern\"":[151],"lifecycle":[152],"further":[153],"supports":[154,196],"continual":[155],"evolution":[156],"by":[157],"writing":[158],"new":[159],"skills,":[160],"utilities,":[162],"promoting":[163],"memories,":[165],"removing":[167],"harmful":[168],"entries.":[169],"Experiments":[170],"diverse":[172],"tasks":[174],"show":[175],"consistently":[178],"outperforms":[179],"representative":[180],"memory-based":[181],"in":[183],"both":[184],"offline":[185],"online":[187],"settings.":[188],"It":[189],"also":[190],"generalizes":[191],"backbones":[194],"transferable":[197],"skill":[198],"memory.":[199],"All":[200],"data":[201],"code":[203],"will":[204],"released":[206],"publicly.":[207]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-10T00:00:00"}
