{"id":"https://openalex.org/W7136762690","doi":"https://doi.org/10.48550/arxiv.2603.13017","title":"Structured Distillation for Personalized Agent Memory: 11x Token Reduction with Retrieval Preservation","display_name":"Structured Distillation for Personalized Agent Memory: 11x Token Reduction with Retrieval Preservation","publication_year":2026,"publication_date":"2026-03-13","ids":{"openalex":"https://openalex.org/W7136762690","doi":"https://doi.org/10.48550/arxiv.2603.13017"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.13017","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.13017","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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.13017","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129557345","display_name":"Sydney Lewis","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Lewis, Sydney","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5129557345"],"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.44999998807907104,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.44999998807907104,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.06669999659061432,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.05420000106096268,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/security-token","display_name":"Security token","score":0.6003000140190125},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5940999984741211},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5583000183105469},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.5062000155448914},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.44699999690055847},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4348999857902527},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.4077000021934509},{"id":"https://openalex.org/keywords/structured-prediction","display_name":"Structured prediction","score":0.35589998960494995},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.34119999408721924}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7361000180244446},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.6003000140190125},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5940999984741211},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5583000183105469},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.5062000155448914},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.44699999690055847},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4348999857902527},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.4077000021934509},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3765000104904175},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36570000648498535},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.35589998960494995},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.34119999408721924},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.32170000672340393},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.30309998989105225},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.3027999997138977},{"id":"https://openalex.org/C190954187","wikidata":"https://www.wikidata.org/wiki/Q5270587","display_name":"Dialog system","level":3,"score":0.30169999599456787},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2858999967575073},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.2784999907016754},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2702000141143799},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.26820001006126404},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.2671000063419342},{"id":"https://openalex.org/C148524875","wikidata":"https://www.wikidata.org/wiki/Q6975395","display_name":"F1 score","level":2,"score":0.2605000138282776},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.2590000033378601},{"id":"https://openalex.org/C73752529","wikidata":"https://www.wikidata.org/wiki/Q79872","display_name":"Object-oriented programming","level":2,"score":0.2556999921798706},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.2538999915122986},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.25279998779296875}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.13017","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.13017","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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.13017","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.13017","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":"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":{"Long":[0],"conversations":[1,74],"with":[2,32,52],"an":[3,33],"AI":[4],"agent":[5,26,181],"create":[6],"a":[7,37,49,198],"simple":[8],"problem":[9],"for":[10,41,207],"one":[11,28],"user:":[12],"the":[13,82,134,170,190,202,211],"history":[14,31],"is":[15,21,46],"useful,":[16],"but":[17],"carrying":[18],"it":[19],"verbatim":[20,136,173,203],"expensive.":[22],"We":[23,96,209],"study":[24],"personalized":[25,99],"memory:":[27],"user's":[29],"conversation":[30],"agent,":[34],"distilled":[35,64,129],"into":[36,48],"compact":[38],"retrieval":[39,186],"layer":[40],"later":[42],"search.":[43],"Each":[44],"exchange":[45,86],"compressed":[47],"compound":[50],"object":[51],"four":[53],"fields":[54],"(exchange_core,":[55],"specific_context,":[56],"thematic":[57],"room_assignments,":[58],"and":[59,113,118,213],"regex-extracted":[60],"files_touched).":[61],"The":[62,126,164],"searchable":[63],"text":[65],"averages":[66],"38":[67,91],"tokens":[68],"per":[69],"exchange.":[70],"Applied":[71],"to":[72,90],"4,182":[73],"(14,340":[75],"exchanges)":[76],"from":[77,88],"6":[78],"software":[79],"engineering":[80],"projects,":[81],"method":[83],"reduces":[84],"average":[85],"length":[87],"371":[89],"tokens,":[92],"yielding":[93],"11x":[94],"compression.":[95],"evaluate":[97],"whether":[98],"recall":[100],"survives":[101],"that":[102],"compression":[103],"using":[104],"201":[105],"recall-oriented":[106],"queries,":[107],"107":[108],"configurations":[109,148,158],"spanning":[110],"5":[111,114,119],"pure":[112,128,172],"cross-layer":[115,166],"search":[116,147],"modes,":[117],"LLM":[120],"graders":[121],"(214,519":[122],"consensus-graded":[123],"query-result":[124],"pairs).":[125],"best":[127,135,165,171],"configuration":[130],"reaches":[131],"96%":[132],"of":[133,194],"MRR":[137],"(0.717":[138],"vs":[139],"0.745).":[140],"Results":[141],"are":[142],"mechanism-dependent.":[143],"All":[144],"20":[145,156],"vector":[146],"remain":[149],"non-significant":[150],"after":[151],"Bonferroni":[152],"correction,":[153],"while":[154,201],"all":[155],"BM25":[157],"degrade":[159],"significantly":[160],"(effect":[161],"sizes":[162],"|d|=0.031-0.756).":[163],"setup":[167],"slightly":[168],"exceeds":[169],"baseline":[174],"(MRR":[175],"0.759).":[176],"Structured":[177],"distillation":[178],"compresses":[179],"single-user":[180],"memory":[182],"without":[183],"uniformly":[184],"sacrificing":[185],"quality.":[187],"At":[188],"1/11":[189],"context":[191],"cost,":[192],"thousands":[193],"exchanges":[195],"fit":[196],"within":[197],"single":[199],"prompt":[200],"source":[204],"remains":[205],"available":[206],"drill-down.":[208],"release":[210],"implementation":[212],"analysis":[214],"pipeline":[215],"as":[216],"open-source":[217],"software.":[218]},"counts_by_year":[],"updated_date":"2026-03-17T07:05:13.627479","created_date":"2026-03-17T00:00:00"}
