{"id":"https://openalex.org/W7165678813","doi":"https://doi.org/10.48550/arxiv.2606.23581","title":"Kamera: Unified Position-Invariant Multimodal KV Cache for Training-Free Reuse","display_name":"Kamera: Unified Position-Invariant Multimodal KV Cache for Training-Free Reuse","publication_year":2026,"publication_date":"2026-06-22","ids":{"openalex":"https://openalex.org/W7165678813","doi":"https://doi.org/10.48550/arxiv.2606.23581"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.23581","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.23581","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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.23581","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139177453","display_name":"Bole Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Bole","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011822473","display_name":"Jan Eitzinger","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eitzinger, Jan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043208394","display_name":"Harald Koestler","orcid":"https://orcid.org/0000-0002-6992-2690"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Koestler, Harald","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5070209050","display_name":"Gerhard Wellein","orcid":"https://orcid.org/0000-0001-7371-3026"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wellein, Gerhard","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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.2824000120162964,"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"}},"topics":[{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.2824000120162964,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.11509999632835388,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.0940999984741211,"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/reuse","display_name":"Reuse","score":0.8406999707221985},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.6678000092506409},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4959000051021576},{"id":"https://openalex.org/keywords/cpu-cache","display_name":"CPU cache","score":0.4415000081062317},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.429500013589859},{"id":"https://openalex.org/keywords/conditioning","display_name":"Conditioning","score":0.37529999017715454},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.3555000126361847},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.3481000065803528}],"concepts":[{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.8406999707221985},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7246999740600586},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.6678000092506409},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4959000051021576},{"id":"https://openalex.org/C189783530","wikidata":"https://www.wikidata.org/wiki/Q352090","display_name":"CPU cache","level":3,"score":0.4415000081062317},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.429500013589859},{"id":"https://openalex.org/C45262634","wikidata":"https://www.wikidata.org/wiki/Q5159291","display_name":"Conditioning","level":2,"score":0.37529999017715454},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36959999799728394},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.3555000126361847},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.3481000065803528},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3303000032901764},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.31540000438690186},{"id":"https://openalex.org/C141603448","wikidata":"https://www.wikidata.org/wiki/Q134830","display_name":"Prefix","level":2,"score":0.31470000743865967},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.3034999966621399},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.2948000133037567},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.29120001196861267},{"id":"https://openalex.org/C169345407","wikidata":"https://www.wikidata.org/wiki/Q8216221","display_name":"Uncorrelated","level":2,"score":0.2653999924659729},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.2614000141620636},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.25369998812675476},{"id":"https://openalex.org/C53833338","wikidata":"https://www.wikidata.org/wiki/Q1061424","display_name":"Context switch","level":2,"score":0.2531999945640564},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.251800000667572}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.23581","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.23581","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.23581","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.23581","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":"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":{"Multimodal":[0],"agents":[1,268],"repeatedly":[2],"re-examine":[3],"the":[4,52,79,117,165,231],"same":[5],"video":[6,259],"frames,":[7],"UI":[8],"screenshots,":[9],"and":[10,18,44,75,155,197,224,234,258],"rendered":[11],"artifacts":[12],"as":[13],"their":[14,270],"context":[15],"window":[16,174],"slides":[17],"reasoning":[19,101],"iterates,":[20],"yet":[21],"every":[22,181],"look-back":[23],"re-encodes":[24],"from":[25,58],"scratch,":[26],"because":[27],"prefix":[28],"caches":[29],"serve":[30],"reuse":[31,50,105],"only":[32],"at":[33,227],"a":[34,55,69,85,136,184,228,243],"fixed":[35],"leading":[36],"position.":[37],"We":[38,132],"show":[39],"this":[40,115],"recompute":[41,271],"is":[42,63,72,84,116,202,253],"avoidable,":[43],"identify":[45],"exactly":[46,74],"what":[47,99],"naive":[48],"KV":[49,232,237],"loses:":[51],"cross-chunk":[53,169],"conditioning":[54,140,251],"chunk":[56,71,201],"absorbs":[57],"its":[59,205],"neighbours.":[60],"This":[61,171],"loss":[62],"asymmetric.":[64],"The":[65,250],"direct":[66],"readout":[67],"of":[68,183,230],"cached":[70,185],"recovered":[73],"for":[76,124],"free":[77],"by":[78,204],"standard":[80],"state-merge.":[81],"What":[82],"remains":[83],"diffuse,":[86],"low-rank":[87,139],"residue":[88],"concentrated":[89],"in":[90,242,255],"deep":[91],"layers,":[92],"invisible":[93],"to":[94,149,160,238],"single-hop":[95,108],"retrieval":[96],"but":[97],"precisely":[98],"multi-hop":[100,113],"binds":[102],"on.":[103],"Blind":[104],"therefore":[106],"leaves":[107],"recall":[109,198],"intact":[110],"while":[111],"halving":[112],"accuracy;":[114],"failure":[118],"mode":[119],"prior":[120],"position-independent":[121],"caches,":[122],"designed":[123],"single-context":[125],"or":[126],"single-image":[127],"reuse,":[128],"do":[129],"not":[130],"address.":[131],"repair":[133],"it":[134],"with":[135],"small,":[137],"training-free":[138],"patch":[141,166,179,211],"stored":[142],"alongside":[143],"each":[144],"position-free":[145],"chunk.":[146],"Reuse":[147],"reduces":[148],"one":[150],"operator":[151],"across":[152,220,247],"MLA,":[153],"GQA,":[154],"MHA:":[156],"exact":[157],"RoPE":[158],"re-rotation":[159],"any":[161],"target":[162],"position,":[163],"plus":[164],"that":[167],"restores":[168],"binding.":[170],"makes":[172],"three":[173],"operations":[175],"cheap:":[176],"reorder":[177],"(one":[178],"serves":[180],"ordering":[182],"set),":[186],"sliding-window":[187],"survival":[188],"(surviving":[189],"chunks":[190],"relocate":[191],"via":[192],"rotation":[193],"only,":[194],"zero":[195],"re-encode),":[196],"(an":[199],"evicted":[200],"rehydrated":[203],"patch,":[206],"never":[207],"re-encoded).":[208],"A":[209],"rank-m":[210],"recovers":[212],"full":[213],"task":[214],"accuracy":[215],"on":[216],"cross-chunk-binding":[217],"benchmarks,":[218],"MM-NIAH":[219],"two":[221],"attention":[222],"families":[223],"two-page":[225],"doc-QA,":[226],"fraction":[229],"footprint,":[233],"reconstructs":[235],"re-prefill":[236],"within":[239],"bf16":[240],"rounding":[241],"production":[244],"SGLang":[245],"kernel":[246],"six":[248],"backbones.":[249],"signal":[252],"strongest":[254],"redundant":[256],"vision":[257],"streams,":[260],"making":[261],"our":[262],"solution":[263],"most":[264],"impactful":[265],"where":[266],"multimodal":[267],"spend":[269],"budget.":[272]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-24T00:00:00"}