{"id":"https://openalex.org/W7161855955","doi":"https://doi.org/10.48550/arxiv.2605.18930","title":"OEP: Poisoning Self-Evolving LLM Agents via Locally Correct but Non-Transferable Experiences","display_name":"OEP: Poisoning Self-Evolving LLM Agents via Locally Correct but Non-Transferable Experiences","publication_year":2026,"publication_date":"2026-05-18","ids":{"openalex":"https://openalex.org/W7161855955","doi":"https://doi.org/10.48550/arxiv.2605.18930"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.18930","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.18930","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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.2605.18930","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136558336","display_name":"Kaixiang Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Kaixiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062969662","display_name":"Jiong Lou","orcid":"https://orcid.org/0000-0001-9245-2626"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lou, Jiong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136540702","display_name":"Zhaojiacheng Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Zhaojiacheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136587001","display_name":"Jie Li","orcid":"https://orcid.org/0009-0009-4222-6685"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Jie","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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.6721000075340271,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.6721000075340271,"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/T10028","display_name":"Topic Modeling","score":0.04500000178813934,"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":0.03420000150799751,"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/reflection","display_name":"Reflection (computer programming)","score":0.6815999746322632},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5911999940872192},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5092999935150146},{"id":"https://openalex.org/keywords/audit","display_name":"Audit","score":0.40529999136924744},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.37779998779296875},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.3515999913215637}],"concepts":[{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.6815999746322632},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6290000081062317},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5911999940872192},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5361999869346619},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5092999935150146},{"id":"https://openalex.org/C199521495","wikidata":"https://www.wikidata.org/wiki/Q181487","display_name":"Audit","level":2,"score":0.40529999136924744},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.37779998779296875},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3515999913215637},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3416000008583069},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3255000114440918},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.32420000433921814},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.3149000108242035},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.27959999442100525},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.2648000121116638},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.2621999979019165},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2587999999523163},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.18930","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.18930","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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.2605.18930","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.18930","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6587194800376892}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Memory-augmented":[0],"large":[1],"language":[2],"model":[3],"(LLM)":[4],"agents":[5,71,136],"use":[6],"iterative":[7],"reflection":[8,128],"and":[9,58,124,141,167],"self-evolution":[10],"to":[11,51,74],"solve":[12],"complex":[13],"tasks,":[14],"but":[15,83,147],"these":[16],"mechanisms":[17],"introduce":[18,92],"security":[19],"risks.":[20],"Existing":[21],"agentic":[22],"memory":[23,110,134],"attacks":[24,170],"require":[25],"privileged":[26],"access":[27],"or":[28,109],"explicit":[29],"malicious":[30],"content,":[31],"making":[32],"them":[33],"detectable":[34],"by":[35],"advanced":[36],"safety":[37],"filters.":[38],"This":[39],"leaves":[40],"a":[41,97],"subtler":[42],"attack":[43,100],"surface":[44],"underexplored:":[45],"whether":[46],"adversaries":[47],"can":[48],"induce":[49,62],"agent":[50],"generate":[52],"experiences":[53,144],"that":[54,69,117,158],"appear":[55],"locally":[56,119],"correct":[57,120],"semantically":[59],"plausible":[60,84],"yet":[61],"harmful":[63],"generalization":[64],"during":[65],"reflection.":[66],"We":[67],"find":[68],"reflective":[70],"are":[72],"vulnerable":[73],"such":[75],"clean":[76,115],"experiences,":[77],"especially":[78],"when":[79],"paired":[80],"with":[81,164],"severe":[82,125],"hypothetical":[85],"consequences.":[86],"Based":[87],"on":[88],"this":[89],"observation,":[90],"we":[91],"Obsessive":[93],"Experience":[94],"Poisoning":[95],"(OEP),":[96],"low-privilege":[98],"black-box":[99],"requiring":[101],"no":[102],"direct":[103],"control":[104],"over":[105],"the":[106],"system":[107],"prompt":[108],"database.":[111],"OEP":[112,159],"constructs":[113],"adversarial":[114],"edge-cases":[116],"combine":[118],"solutions,":[121],"non-transferable":[122],"methods,":[123],"consequences,":[126],"biasing":[127],"toward":[129],"risk-averse":[130],"rule":[131],"formation.":[132],"During":[133],"consolidation,":[135],"may":[137],"over-trust":[138],"self-generated":[139],"reflections":[140],"distill":[142],"localized":[143],"into":[145],"high-priority":[146],"over-generalized":[148],"rules,":[149],"causing":[150],"downstream":[151],"failures.":[152],"Evaluations":[153],"across":[154],"three":[155],"domains":[156],"show":[157],"achieves":[160],"ASR":[161],"above":[162],"50\\%":[163],"GPT-4o":[165],"agents,":[166],"outperforms":[168],"existing":[169],"under":[171],"LLM":[172],"auditing":[173],"defense.":[174]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-21T00:00:00"}