{"id":"https://openalex.org/W7154004394","doi":"https://doi.org/10.48550/arxiv.2604.09173","title":"Decoupling Vector Data and Index Storage for Space Efficiency","display_name":"Decoupling Vector Data and Index Storage for Space Efficiency","publication_year":2026,"publication_date":"2026-04-10","ids":{"openalex":"https://openalex.org/W7154004394","doi":"https://doi.org/10.48550/arxiv.2604.09173"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.09173","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.09173","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.2604.09173","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133513820","display_name":"Yuanming Ren","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ren, Yuanming","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033328806","display_name":"Juncheng Zhang","orcid":"https://orcid.org/0009-0006-2212-4321"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Juncheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074141991","display_name":"Yanjing Ren","orcid":"https://orcid.org/0000-0001-8882-6293"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ren, Yanjing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133522743","display_name":"Rui Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Rui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133552416","display_name":"Di Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Di","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5012129385","display_name":"Patrick P. C. Lee","orcid":"https://orcid.org/0000-0002-4501-4364"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lee, Patrick P. C.","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/T11106","display_name":"Data Management and Algorithms","score":0.3431999981403351,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.3431999981403351,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.12720000743865967,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.11060000211000443,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/decoupling","display_name":"Decoupling (probability)","score":0.5963000059127808},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.4799000024795532},{"id":"https://openalex.org/keywords/computer-data-storage","display_name":"Computer data storage","score":0.42809998989105225},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.42739999294281006},{"id":"https://openalex.org/keywords/search-algorithm","display_name":"Search algorithm","score":0.4099999964237213},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.3562999963760376},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.33730000257492065}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6243000030517578},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.5963000059127808},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5526000261306763},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.4799000024795532},{"id":"https://openalex.org/C194739806","wikidata":"https://www.wikidata.org/wiki/Q66221","display_name":"Computer data storage","level":2,"score":0.42809998989105225},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.42739999294281006},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.4099999964237213},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.3562999963760376},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.33730000257492065},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3310999870300293},{"id":"https://openalex.org/C89686163","wikidata":"https://www.wikidata.org/wiki/Q1187982","display_name":"Vector space model","level":2,"score":0.32919999957084656},{"id":"https://openalex.org/C82691427","wikidata":"https://www.wikidata.org/wiki/Q4291856","display_name":"Pattern search","level":2,"score":0.29739999771118164},{"id":"https://openalex.org/C130590232","wikidata":"https://www.wikidata.org/wiki/Q1671754","display_name":"Inverted index","level":3,"score":0.29499998688697815},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.2883000075817108},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.274399995803833},{"id":"https://openalex.org/C13336665","wikidata":"https://www.wikidata.org/wiki/Q125977","display_name":"Vector space","level":2,"score":0.27239999175071716},{"id":"https://openalex.org/C2779659223","wikidata":"https://www.wikidata.org/wiki/Q7619926","display_name":"Storage model","level":2,"score":0.26840001344680786},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.25049999356269836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.09173","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.09173","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.2604.09173","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.09173","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Managing":[0],"large-scale":[1],"vector":[2,22,49],"datasets":[3,96],"with":[4],"disk-resident":[5,47,119],"graph":[6,48,120],"approximate":[7],"nearest":[8],"neighbor":[9],"search":[10,77,112],"(ANNS)":[11],"systems":[12],"incurs":[13],"substantial":[14],"storage":[15,31,44,71,87,101],"overhead":[16],"due":[17],"to":[18,63,81,105,117],"the":[19,30,76],"co-location":[20],"of":[21],"data":[23],"and":[24,78,93,113],"auxiliary":[25],"index":[26],"metadata,":[27],"which":[28],"prevents":[29],"layer":[32],"from":[33],"exploiting":[34],"their":[35,83],"distinct":[36,65],"compressibility.":[37],"We":[38],"present":[39],"COMPASS,":[40],"a":[41,55],"component-aware":[42],"compressed":[43,86],"framework":[45],"for":[46],"search.":[50],"Leveraging":[51],"data-index":[52],"decoupling":[53],"as":[54],"foundation,":[56],"COMPASS":[57,99],"losslessly":[58],"compresses":[59],"each":[60],"component":[61],"according":[62],"its":[64],"compressibility":[66],"characteristics,":[67],"thereby":[68],"significantly":[69],"reducing":[70],"space.":[72],"It":[73],"further":[74],"adapts":[75],"update":[79,114],"paths":[80],"preserve":[82],"performance":[84,115],"under":[85],"layouts.":[88],"Evaluation":[89],"on":[90],"real-world":[91],"public":[92],"proprietary":[94],"billion-scale":[95],"shows":[97],"that":[98],"reduces":[100],"space":[102],"by":[103],"up":[104],"58.7%,":[106],"while":[107],"delivering":[108],"improved":[109],"or":[110],"competitive":[111],"compared":[116],"state-of-the-art":[118],"ANNS":[121],"systems.":[122]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-14T00:00:00"}