{"id":"https://openalex.org/W7131084909","doi":"https://doi.org/10.48550/arxiv.2602.17692","title":"Agentic Unlearning: When LLM Agent Meets Machine Unlearning","display_name":"Agentic Unlearning: When LLM Agent Meets Machine Unlearning","publication_year":2026,"publication_date":"2026-02-06","ids":{"openalex":"https://openalex.org/W7131084909","doi":"https://doi.org/10.48550/arxiv.2602.17692"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2602.17692","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.17692","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2602.17692","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5126629531","display_name":"Bin Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Wang, Bin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126644375","display_name":"Fan Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Fan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126587486","display_name":"Pingping Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Pingping","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114832930","display_name":"Jinyu Cong","orcid":"https://orcid.org/0000-0003-3387-5260"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cong, Jinyu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126588953","display_name":"Yang Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Yang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126619609","display_name":"Yilong Yin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yin, Yilong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126657456","display_name":"Zhongyi Han","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han, Zhongyi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5107943720","display_name":"Benzheng Wei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei, Benzheng","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5126629531"],"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.17319999635219574,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.17319999635219574,"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":0.164900004863739,"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":0.05480000004172325,"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/parametric-statistics","display_name":"Parametric statistics","score":0.5697000026702881},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.5292999744415283},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.4537999927997589},{"id":"https://openalex.org/keywords/memory-model","display_name":"Memory model","score":0.4514000117778778},{"id":"https://openalex.org/keywords/information-processing","display_name":"Information processing","score":0.36970001459121704},{"id":"https://openalex.org/keywords/parametric-model","display_name":"Parametric model","score":0.3264000117778778}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7217000126838684},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5697000026702881},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5292999744415283},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.4537999927997589},{"id":"https://openalex.org/C12186640","wikidata":"https://www.wikidata.org/wiki/Q6815743","display_name":"Memory model","level":3,"score":0.4514000117778778},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4415000081062317},{"id":"https://openalex.org/C87868495","wikidata":"https://www.wikidata.org/wiki/Q750843","display_name":"Information processing","level":2,"score":0.36970001459121704},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.3264000117778778},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3077000081539154},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2847999930381775},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.2687999904155731},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.26429998874664307},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2635999917984009}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2602.17692","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.17692","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2602.17692","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.17692","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"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":{"In":[0],"this":[1],"paper,":[2],"we":[3],"introduce":[4],"\\textbf{agentic":[5],"unlearning}":[6],"which":[7],"removes":[8],"specified":[9],"information":[10,148],"from":[11],"both":[12,57,150],"model":[13,103],"parameters":[14,27],"and":[15,47,59,75,125],"persistent":[16],"memory":[17,42,60,76,79,123],"in":[18],"agents":[19],"with":[20,152],"closed-loop":[21,120],"interaction.":[22],"Existing":[23],"unlearning":[24,84,124],"methods":[25],"target":[26],"alone,":[28],"leaving":[29],"two":[30],"critical":[31],"gaps:":[32],"(i)":[33],"parameter-memory":[34],"backflow,":[35],"where":[36,122],"retrieval":[37],"reactivates":[38],"parametric":[39,126],"remnants":[40],"or":[41],"artifacts":[43],"reintroduce":[44],"sensitive":[45],"content,":[46],"(ii)":[48],"the":[49],"absence":[50],"of":[51,145],"a":[52,68,106,114,119],"unified":[53],"strategy":[54],"that":[55,70,85,141],"covers":[56],"parameter":[58,74,95],"pathways.":[61,77],"We":[62],"present":[63],"Synchronized":[64],"Backflow":[65],"Unlearning":[66],"(SBU),":[67],"framework":[69],"unlearns":[71],"jointly":[72],"across":[73,149],"The":[78,94],"pathway":[80,96],"performs":[81],"dependency":[82],"closure-based":[83],"prunes":[86],"isolated":[87],"entities":[88],"while":[89],"logically":[90],"invalidating":[91],"shared":[92],"artifacts.":[93],"employs":[97],"stochastic":[98],"reference":[99],"alignment":[100],"to":[101,131],"guide":[102],"outputs":[104],"toward":[105],"high-entropy":[107],"prior.":[108],"These":[109],"pathways":[110,151],"are":[111],"integrated":[112],"via":[113],"synchronized":[115],"dual-update":[116],"protocol,":[117],"forming":[118],"mechanism":[121],"suppression":[127],"reinforce":[128],"each":[129],"other":[130],"prevent":[132],"cross-pathway":[133],"recontamination.":[134],"Experiments":[135],"on":[136,155],"medical":[137],"QA":[138],"benchmarks":[139],"show":[140],"SBU":[142],"reduces":[143],"traces":[144],"targeted":[146],"private":[147],"limited":[153],"degradation":[154],"retained":[156],"data.":[157]},"counts_by_year":[],"updated_date":"2026-02-24T06:20:37.074948","created_date":"2026-02-24T00:00:00"}
