{"id":"https://openalex.org/W7162779547","doi":"https://doi.org/10.48550/arxiv.2605.28889","title":"Context Distillation as Latent Memory Management","display_name":"Context Distillation as Latent Memory Management","publication_year":2026,"publication_date":"2026-05-27","ids":{"openalex":"https://openalex.org/W7162779547","doi":"https://doi.org/10.48550/arxiv.2605.28889"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.28889","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.28889","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.2605.28889","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137310876","display_name":"Ziyang Zheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zheng, Ziyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103176788","display_name":"Zeju Li","orcid":"https://orcid.org/0009-0009-5453-4394"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Zeju","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137330211","display_name":"Xiangyu Wen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wen, Xiangyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109044474","display_name":"J. Zhong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhong, Jianyuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101758751","display_name":"Junhua Huang","orcid":"https://orcid.org/0000-0002-0092-396X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Junhua","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137397613","display_name":"Lei Chen","orcid":"https://orcid.org/0000-0001-5263-5540"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Lei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137342436","display_name":"Mingxuan Yuan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuan, Mingxuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137324087","display_name":"Qiang Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Qiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"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/T11478","display_name":"Caching and Content Delivery","score":0.11860000342130661,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11478","display_name":"Caching and Content Delivery","score":0.11860000342130661,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12607","display_name":"Personal Information Management and User Behavior","score":0.11299999803304672,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.09059999883174896,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/robustness","display_name":"Robustness (evolution)","score":0.4652999937534332},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4643999934196472},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.4632999897003174},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.4194999933242798},{"id":"https://openalex.org/keywords/memory-management","display_name":"Memory management","score":0.41449999809265137},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.4092999994754791},{"id":"https://openalex.org/keywords/context-management","display_name":"Context management","score":0.39640000462532043},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.3564000129699707}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8133000135421753},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4652999937534332},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4643999934196472},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.4632999897003174},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44589999318122864},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4194999933242798},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.4194999933242798},{"id":"https://openalex.org/C176649486","wikidata":"https://www.wikidata.org/wiki/Q2308807","display_name":"Memory management","level":3,"score":0.41449999809265137},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.4092999994754791},{"id":"https://openalex.org/C2776285913","wikidata":"https://www.wikidata.org/wiki/Q5165183","display_name":"Context management","level":3,"score":0.39640000462532043},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.3564000129699707},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3400000035762787},{"id":"https://openalex.org/C67758918","wikidata":"https://www.wikidata.org/wiki/Q2744408","display_name":"Latent inhibition","level":4,"score":0.3222000002861023},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.3212999999523163},{"id":"https://openalex.org/C30390489","wikidata":"https://www.wikidata.org/wiki/Q4680748","display_name":"Adaptive memory","level":3,"score":0.30649998784065247},{"id":"https://openalex.org/C53833338","wikidata":"https://www.wikidata.org/wiki/Q1061424","display_name":"Context switch","level":2,"score":0.3012999892234802},{"id":"https://openalex.org/C118702147","wikidata":"https://www.wikidata.org/wiki/Q189396","display_name":"Dynamic random-access memory","level":3,"score":0.28780001401901245},{"id":"https://openalex.org/C170133592","wikidata":"https://www.wikidata.org/wiki/Q1806883","display_name":"Latent semantic analysis","level":2,"score":0.27140000462532043},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.2637999951839447},{"id":"https://openalex.org/C189783530","wikidata":"https://www.wikidata.org/wiki/Q352090","display_name":"CPU cache","level":3,"score":0.25870001316070557},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2549999952316284},{"id":"https://openalex.org/C154030694","wikidata":"https://www.wikidata.org/wiki/Q1436074","display_name":"Fractionating column","level":3,"score":0.2531999945640564},{"id":"https://openalex.org/C112933361","wikidata":"https://www.wikidata.org/wiki/Q2845258","display_name":"Probabilistic latent semantic analysis","level":2,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.28889","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.28889","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.2605.28889","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.28889","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":{"Context":[0],"distillation":[1,31],"compresses":[2],"contextual":[3],"information":[4],"into":[5,42],"model":[6],"parameters,":[7],"yet":[8],"existing":[9],"methods":[10],"often":[11],"ignore":[12],"how":[13],"multiple":[14],"distilled":[15],"latent":[16,34,81,117],"memories":[17],"should":[18,83],"be":[19,84],"stored,":[20],"retrieved,":[21],"and":[22,73],"safely":[23],"activated":[24],"in":[25],"non-oracle":[26],"settings.":[27],"We":[28,38],"formulate":[29],"context":[30,41],"as":[32],"a":[33,48,58,75],"memory":[35,50,55,82],"management":[36,96],"problem.":[37],"distill":[39],"each":[40],"an":[43],"independent":[44],"LoRA":[45],"adapter,":[46,72],"forming":[47],"modular":[49],"bank":[51],"that":[52,102],"enables":[53],"explicit":[54],"selection.":[56],"Given":[57],"query,":[59],"our":[60,103],"framework":[61],"retrieves":[62],"candidate":[63],"memories,":[64],"routes":[65],"the":[66,69],"query":[67],"to":[68,78,94],"most":[70],"suitable":[71],"uses":[74],"Self-Gating":[76,111],"mechanism":[77],"decide":[79],"whether":[80],"activated.":[85],"To":[86],"improve":[87],"efficiency,":[88],"we":[89],"further":[90],"introduce":[91],"cache":[92],"sharing":[93],"reduce":[95],"overhead":[97],"during":[98],"inference.":[99],"Experiments":[100],"show":[101],"method":[104],"substantially":[105],"outperforms":[106],"baselines":[107],"with":[108],"retrieval,":[109],"while":[110],"improves":[112],"robustness":[113],"by":[114],"deactivate":[115],"unnecessary":[116],"memories.":[118]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-30T00:00:00"}
