{"id":"https://openalex.org/W7162760642","doi":"https://doi.org/10.48550/arxiv.2605.29640","title":"VikingMem: A Memory Base Management System for Stateful LLM-based Applications","display_name":"VikingMem: A Memory Base Management System for Stateful LLM-based Applications","publication_year":2026,"publication_date":"2026-05-28","ids":{"openalex":"https://openalex.org/W7162760642","doi":"https://doi.org/10.48550/arxiv.2605.29640"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.29640","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.29640","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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.29640","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069835402","display_name":"Jiajie Fu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fu, Jiajie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137396669","display_name":"Junwen Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Junwen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043365458","display_name":"Mengzhao Wang","orcid":"https://orcid.org/0000-0003-3806-1012"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Mengzhao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133316236","display_name":"Aoxiang He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Aoxiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120301472","display_name":"Maojia Sheng","orcid":"https://orcid.org/0009-0009-8566-5135"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sheng, Maojia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071521429","display_name":"Xiangyu Ke","orcid":"https://orcid.org/0000-0001-8082-7398"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ke, Xiangyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137394841","display_name":"Yifan Zhu","orcid":"https://orcid.org/0000-0001-7964-0091"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Yifan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137361284","display_name":"Yunjun Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gao, Yunjun","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/T10215","display_name":"Semantic Web and Ontologies","score":0.12349999696016312,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.12349999696016312,"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":0.09960000216960907,"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/T12607","display_name":"Personal Information Management and User Behavior","score":0.08510000258684158,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/stateful-firewall","display_name":"Stateful firewall","score":0.6858000159263611},{"id":"https://openalex.org/keywords/memory-management","display_name":"Memory management","score":0.45190000534057617},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.3774999976158142},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.36419999599456787},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.32030001282691956},{"id":"https://openalex.org/keywords/memory-model","display_name":"Memory model","score":0.31049999594688416},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.3100999891757965},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.30149999260902405},{"id":"https://openalex.org/keywords/extended-memory","display_name":"Extended memory","score":0.2980000078678131}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8702999949455261},{"id":"https://openalex.org/C22927095","wikidata":"https://www.wikidata.org/wiki/Q1784206","display_name":"Stateful firewall","level":3,"score":0.6858000159263611},{"id":"https://openalex.org/C176649486","wikidata":"https://www.wikidata.org/wiki/Q2308807","display_name":"Memory management","level":3,"score":0.45190000534057617},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.3774999976158142},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.36419999599456787},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3278999924659729},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.32030001282691956},{"id":"https://openalex.org/C12186640","wikidata":"https://www.wikidata.org/wiki/Q6815743","display_name":"Memory model","level":3,"score":0.31049999594688416},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.3100999891757965},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.30149999260902405},{"id":"https://openalex.org/C171675096","wikidata":"https://www.wikidata.org/wiki/Q1143380","display_name":"Extended memory","level":4,"score":0.2980000078678131},{"id":"https://openalex.org/C156731835","wikidata":"https://www.wikidata.org/wiki/Q751740","display_name":"Memory leak","level":4,"score":0.2939999997615814},{"id":"https://openalex.org/C1668388","wikidata":"https://www.wikidata.org/wiki/Q1149776","display_name":"Data management","level":2,"score":0.2921999990940094},{"id":"https://openalex.org/C39528615","wikidata":"https://www.wikidata.org/wiki/Q1229610","display_name":"Distributed shared memory","level":5,"score":0.2915000021457672},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.28760001063346863},{"id":"https://openalex.org/C123606473","wikidata":"https://www.wikidata.org/wiki/Q907918","display_name":"Complex event processing","level":3,"score":0.2833000123500824},{"id":"https://openalex.org/C74426580","wikidata":"https://www.wikidata.org/wiki/Q719484","display_name":"Memory map","level":3,"score":0.28299999237060547},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.28040000796318054},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C74912251","wikidata":"https://www.wikidata.org/wiki/Q6815727","display_name":"Memory footprint","level":2,"score":0.2689000070095062},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.26750001311302185},{"id":"https://openalex.org/C2985957978","wikidata":"https://www.wikidata.org/wiki/Q492","display_name":"Human memory","level":3,"score":0.2623000144958496},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2540999948978424},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2531999945640564},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25220000743865967},{"id":"https://openalex.org/C4438859","wikidata":"https://www.wikidata.org/wiki/Q186117","display_name":"Timeline","level":2,"score":0.2513999938964844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.29640","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.29640","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.29640","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.29640","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":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6976679563522339}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"Language":[1],"Models":[2],"have":[3],"revolutionized":[4],"interactive":[5,241],"applications;":[6],"however,":[7],"their":[8],"finite":[9],"context":[10],"windows":[11],"pose":[12],"a":[13,46,73,121,193],"critical":[14],"data":[15,75],"management":[16,76],"challenge":[17],"for":[18,78,126,240],"maintaining":[19,235],"stateful,":[20],"long-term":[21,84,218],"interactions.":[22,85],"Existing":[23],"memory":[24,41,107,170,219,231],"approaches":[25],"often":[26],"rely":[27],"on":[28,139,152,217],"simplistic":[29],"extraction":[30,42,94,171],"methods":[31],"that":[32,222],"lead":[33],"to":[34,45,116,172,185,228],"incomplete":[35],"memories":[36,97],"or":[37],"use":[38,48],"rigid,":[39],"single-purpose":[40],"prompts":[43],"tailored":[44],"single":[47],"case,":[49],"such":[50],"as":[51],"chatbots.":[52],"Consequently,":[53],"they":[54],"lack":[55],"generalizability":[56],"and":[57,104,113,120,135,164,196,209,211],"perform":[58],"poorly":[59],"across":[60,129],"diverse":[61,130],"downstream":[62],"tasks.":[63],"To":[64],"bridge":[65],"this":[66,140,159],"gap,":[67],"we":[68,142],"introduce":[69],"the":[70,80,153,199,236],"Memory":[71,147],"Base,":[72],"novel":[74],"paradigm":[77,124,160],"managing":[79],"persistent":[81],"state":[82],"of":[83,95],"It":[86,167],"is":[87,109],"characterized":[88],"by":[89,183,226],"three":[90],"core":[91],"principles:":[92],"selective":[93],"high-value":[96],"from":[98],"raw":[99],"information":[100,176],"streams;":[101],"inherent":[102],"statefulness":[103],"evolution,":[105],"where":[106],"content":[108],"progressively":[110,201],"summarized,":[111],"corrected,":[112],"temporally":[114],"weighted":[115],"prioritize":[117],"recent":[118,207],"interactions;":[119],"generalizable":[122],"abstraction":[123],"designed":[125],"robust":[127],"transferability":[128],"applications,":[131],"including":[132],"education,":[133],"recommendation,":[134],"agent":[136],"memory.":[137],"Building":[138],"foundation,":[141],"present":[143],"VikingMem,":[144],"an":[145],"end-to-end":[146],"Base":[148],"Management":[149],"System":[150],"implemented":[151],"VikingDB":[154],"vector":[155],"engine.":[156],"VikingMem":[157,223],"materializes":[158],"through":[161],"interconnected":[162],"event":[163],"entity":[165],"abstractions.":[166],"features":[168],"event-centric":[169],"selectively":[173],"handle":[174],"complex":[175],"streams,":[177],"while":[178,234],"entities":[179],"are":[180],"dynamically":[181],"updated":[182],"events":[184],"achieve":[186],"stateful":[187],"evolution.":[188],"Using":[189],"temporal":[190],"compression":[191],"via":[192],"topic-wise":[194],"timeline":[195],"time-weighted":[197],"recall,":[198],"system":[200],"produces":[202],"high-level":[203],"summary":[204],"memories,":[205],"prioritizes":[206],"items,":[208],"compresses":[210],"fades":[212],"older":[213],"ones.":[214],"Extensive":[215],"evaluations":[216],"benchmarks":[220],"demonstrate":[221],"outperformes":[224],"baselines":[225],"up":[227],"30%":[229],"in":[230],"retrieval":[232],"effectiveness":[233],"low":[237],"latency":[238],"essential":[239],"applications.":[242]},"counts_by_year":[],"updated_date":"2026-07-01T08:55:40.977307","created_date":"2026-05-30T00:00:00"}