{"id":"https://openalex.org/W7165770469","doi":"https://doi.org/10.48550/arxiv.2606.23961","title":"Forget Without Compromise: Nexus Sampling for Streaming KV-Cache Eviction Under Fixed Budgets","display_name":"Forget Without Compromise: Nexus Sampling for Streaming KV-Cache Eviction Under Fixed Budgets","publication_year":2026,"publication_date":"2026-06-22","ids":{"openalex":"https://openalex.org/W7165770469","doi":"https://doi.org/10.48550/arxiv.2606.23961"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.23961","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.23961","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.2606.23961","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5126737479","display_name":"Duc Duong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Duong, Duc","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125378550","display_name":"Hoang Anh Duy Le","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Le, Hoang Anh Duy","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102966958","display_name":"Jianwen Xie","orcid":"https://orcid.org/0000-0002-6818-7444"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xie, Jianwen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139233890","display_name":"Anshumali Shrivastava","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shrivastava, Anshumali","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5073136550","display_name":"Zhewei Xu","orcid":"https://orcid.org/0000-0003-4718-6175"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Zhaozhuo","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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.38940000534057617,"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"}},"topics":[{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.38940000534057617,"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"}},{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.1851000040769577,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.04439999908208847,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/nexus","display_name":"Nexus (standard)","score":0.7569000124931335},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.7373999953269958},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5565000176429749},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5281999707221985},{"id":"https://openalex.org/keywords/cache-algorithms","display_name":"Cache algorithms","score":0.42739999294281006},{"id":"https://openalex.org/keywords/debiasing","display_name":"Debiasing","score":0.4178999960422516},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.4122999906539917},{"id":"https://openalex.org/keywords/forcing","display_name":"Forcing (mathematics)","score":0.4120999872684479}],"concepts":[{"id":"https://openalex.org/C148609458","wikidata":"https://www.wikidata.org/wiki/Q7021281","display_name":"Nexus (standard)","level":2,"score":0.7569000124931335},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.7373999953269958},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6833000183105469},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5565000176429749},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5281999707221985},{"id":"https://openalex.org/C38556500","wikidata":"https://www.wikidata.org/wiki/Q13404475","display_name":"Cache algorithms","level":4,"score":0.42739999294281006},{"id":"https://openalex.org/C2779458634","wikidata":"https://www.wikidata.org/wiki/Q24963715","display_name":"Debiasing","level":2,"score":0.4178999960422516},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.4122999906539917},{"id":"https://openalex.org/C197115733","wikidata":"https://www.wikidata.org/wiki/Q1003136","display_name":"Forcing (mathematics)","level":2,"score":0.4120999872684479},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4027999937534332},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3982999920845032},{"id":"https://openalex.org/C2778227907","wikidata":"https://www.wikidata.org/wiki/Q1893186","display_name":"Eviction","level":2,"score":0.3912000060081482},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3619000017642975},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3515999913215637},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34549999237060547},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.33660000562667847},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.3264000117778778},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.32350000739097595},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.31279999017715454},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3125999867916107},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3021000027656555},{"id":"https://openalex.org/C9395851","wikidata":"https://www.wikidata.org/wiki/Q177929","display_name":"Stack (abstract data type)","level":2,"score":0.2782000005245209},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.27309998869895935},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2671000063419342},{"id":"https://openalex.org/C189783530","wikidata":"https://www.wikidata.org/wiki/Q352090","display_name":"CPU cache","level":3,"score":0.2669999897480011},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.2549000084400177},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.2535000145435333}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.23961","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.23961","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.2606.23961","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.23961","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Long-context":[0],"and":[1,55],"agentic":[2],"LLM":[3],"workloads":[4],"push":[5],"the":[6,15,33],"KV":[7,130],"cache":[8,131,155],"past":[9],"any":[10,58],"fixed":[11],"memory":[12],"budget,":[13],"forcing":[14],"inference":[16],"stack":[17],"to":[18,151],"permanently":[19,56],"evict":[20],"tokens":[21,102],"at":[22,128],"every":[23],"step":[24,50],"of":[25,108,123],"a":[26,36,47,78],"continuous-inference":[27],"stream.":[28],"Existing":[29],"methods":[30],"all":[31],"share":[32],"same":[34],"template,":[35],"per-step":[37],"direct-attention":[38],"score":[39],"followed":[40],"by":[41],"deterministic":[42,109,118],"top-$K$":[43,119,144],"selection,":[44],"which":[45,100],"converts":[46],"single":[48,66],"below-cutoff":[49],"into":[51],"an":[52,86],"irreversible":[53],"verdict":[54],"erases":[57],"subtly":[59,124],"important":[60,125],"token":[61],"that":[62,82,92,114],"direct":[63,90],"attention":[64,91,137],"cannot":[65],"out":[67],"from":[68],"noise.":[69],"To":[70],"address":[71],"this":[72],"challenge,":[73],"we":[74,112],"propose":[75],"Nexus":[76,84,115,133],"Sampling,":[77],"training-free":[79],"eviction":[80],"method":[81],"pairs":[83],"scoring,":[85],"iterative":[87],"walk":[88],"over":[89],"surfaces":[93],"bridge":[94],"tokens,":[95],"with":[96,103,149],"weighted":[97],"reservoir":[98],"sampling,":[99],"retains":[101],"inclusion":[104],"probability":[105],"in":[106,120],"place":[107],"top-$K$.":[110],"Theoretically,":[111],"show":[113],"Sampling":[116,134],"dominates":[117],"long-run":[121],"survival":[122],"tokens.":[126],"Empirically,":[127],"80%":[129],"eviction,":[132],"matches":[135],"dense":[136],"within":[138],"1%":[139],"on":[140,146],"LongBench":[141],"while":[142],"outperforming":[143],"baselines":[145],"retrieval-heavy":[147],"tasks,":[148],"up":[150],"10x":[152],"smaller":[153],"per-sequence":[154],"memory.":[156]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-25T00:00:00"}
