{"id":"https://openalex.org/W7138304954","doi":"https://doi.org/10.48550/arxiv.2603.15569","title":"Mamba-3: Improved Sequence Modeling using State Space Principles","display_name":"Mamba-3: Improved Sequence Modeling using State Space Principles","publication_year":2026,"publication_date":"2026-03-16","ids":{"openalex":"https://openalex.org/W7138304954","doi":"https://doi.org/10.48550/arxiv.2603.15569"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.15569","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.15569","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.2603.15569","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092050303","display_name":"Aakash Lahoti","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Lahoti, Aakash","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129661172","display_name":"Kevin Y. Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Kevin Y.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129708127","display_name":"Berlin Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Berlin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020620961","display_name":"Caitlin Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Caitlin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129745880","display_name":"Aviv Bick","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bick, Aviv","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129747761","display_name":"J. Zico Kolter","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kolter, J. Zico","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129720217","display_name":"Tri Dao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dao, Tri","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5025386668","display_name":"Albert Gu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gu, Albert","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5092050303"],"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/T12072","display_name":"Machine Learning and Algorithms","score":0.11630000174045563,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.11630000174045563,"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":0.10249999910593033,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.09989999979734421,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6439999938011169},{"id":"https://openalex.org/keywords/perplexity","display_name":"Perplexity","score":0.6186000108718872},{"id":"https://openalex.org/keywords/linear-model","display_name":"Linear model","score":0.539900004863739},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.49140000343322754},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.444599986076355},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.3977000117301941},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.3621000051498413},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.3605000078678131},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.3571000099182129}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6439999938011169},{"id":"https://openalex.org/C100279451","wikidata":"https://www.wikidata.org/wiki/Q372193","display_name":"Perplexity","level":3,"score":0.6186000108718872},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5968999862670898},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.539900004863739},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.49140000343322754},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45329999923706055},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.444599986076355},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.3977000117301941},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37610000371932983},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.3621000051498413},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.3605000078678131},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.3571000099182129},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.349700003862381},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32760000228881836},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.30640000104904175},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.29910001158714294},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.2962000072002411},{"id":"https://openalex.org/C86610423","wikidata":"https://www.wikidata.org/wiki/Q1925081","display_name":"Metamodeling","level":2,"score":0.2939999997615814},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2930000126361847},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29179999232292175},{"id":"https://openalex.org/C41587187","wikidata":"https://www.wikidata.org/wiki/Q1501882","display_name":"Generalized linear model","level":2,"score":0.27090001106262207},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.26739999651908875},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.26579999923706055},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.2614000141620636},{"id":"https://openalex.org/C2776207758","wikidata":"https://www.wikidata.org/wiki/Q5303302","display_name":"Downstream (manufacturing)","level":2,"score":0.2590999901294708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2565999925136566},{"id":"https://openalex.org/C195672273","wikidata":"https://www.wikidata.org/wiki/Q6888132","display_name":"Model-based design","level":2,"score":0.25589999556541443},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.2526000142097473}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.15569","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.15569","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.2603.15569","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.15569","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":{"Scaling":[0],"inference-time":[1],"compute":[2,35,53],"has":[3,43],"emerged":[4],"as":[5,76],"an":[6,90],"important":[7],"driver":[8],"of":[9,18,47,107,215],"LLM":[10],"performance,":[11],"making":[12],"inference":[13,40,83],"efficiency":[14],"a":[15,113,122,134,198],"central":[16],"focus":[17],"model":[19,22,31,65,104,141,153,183],"design":[20],"alongside":[21],"quality.":[23],"While":[24],"the":[25,45,101,166,180,227],"current":[26],"Transformer-based":[27],"models":[28,49,62],"deliver":[29],"strong":[30],"quality,":[32],"their":[33,80],"quadratic":[34],"and":[36,54,67,132,160],"linear":[37,52,61,82,108],"memory":[38,56],"make":[39],"expensive.":[41],"This":[42],"spurred":[44],"development":[46],"sub-quadratic":[48],"with":[50,148,186],"reduced":[51],"constant":[55],"requirements.":[57],"However,":[58],"many":[59],"recent":[60],"trade":[63],"off":[64],"quality":[66],"capability":[68],"for":[69,139,197],"algorithmic":[70],"efficiency,":[71],"failing":[72],"on":[73],"tasks":[74],"such":[75],"state":[77,102,124,130,218],"tracking.":[78],"Moreover,":[79],"theoretically":[81],"remains":[84],"hardware-inefficient":[85],"in":[86],"practice.":[87],"Guided":[88],"by":[89,100,174,193],"inference-first":[91],"perspective,":[92],"we":[93],"introduce":[94],"three":[95],"core":[96],"methodological":[97],"improvements":[98],"inspired":[99],"space":[103],"(SSM)":[105],"viewpoint":[106],"models.":[109],"We":[110],"combine:":[111],"(1)":[112],"more":[114],"expressive":[115],"recurrence":[116],"derived":[117],"from":[118],"SSM":[119],"discretization,":[120],"(2)":[121],"complex-valued":[123],"update":[125],"rule":[126],"that":[127],"enables":[128],"richer":[129],"tracking,":[131],"(3)":[133],"multi-input,":[135],"multi-output":[136],"(MIMO)":[137],"formulation":[138],"better":[140],"performance":[142],"without":[143],"increasing":[144],"decode":[145],"latency.":[146],"Together":[147],"architectural":[149],"refinements,":[150],"our":[151],"Mamba-3":[152,169,206],"achieves":[154,207],"significant":[155],"gains":[156],"across":[157],"retrieval,":[158],"state-tracking,":[159],"downstream":[161,172],"language":[162],"modeling":[163],"tasks.":[164],"At":[165],"1.5B":[167],"scale,":[168],"improves":[170],"average":[171],"accuracy":[173,192],"0.6":[175],"percentage":[176],"points":[177,196],"compared":[178],"to":[179,210,225],"next":[181],"best":[182],"(Gated":[184],"DeltaNet),":[185],"Mamba-3's":[187,223],"MIMO":[188],"variant":[189],"further":[190],"improving":[191],"another":[194],"1.2":[195],"total":[199],"1.8":[200],"point":[201],"gain.":[202],"Across":[203],"state-size":[204],"experiments,":[205],"comparable":[208],"perplexity":[209],"Mamba-2":[211],"despite":[212],"using":[213],"half":[214],"its":[216],"predecessor's":[217],"size.":[219],"Our":[220],"evaluations":[221],"demonstrate":[222],"ability":[224],"advance":[226],"performance-efficiency":[228],"Pareto":[229],"frontier.":[230]},"counts_by_year":[],"updated_date":"2026-03-18T06:31:55.123368","created_date":"2026-03-18T00:00:00"}
