{"id":"https://openalex.org/W7134822409","doi":"https://doi.org/10.48550/arxiv.2603.06938","title":"Swimba: Switch Mamba Model Scales State Space Models","display_name":"Swimba: Switch Mamba Model Scales State Space Models","publication_year":2026,"publication_date":"2026-03-06","ids":{"openalex":"https://openalex.org/W7134822409","doi":"https://doi.org/10.48550/arxiv.2603.06938"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2603.06938","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5128657916","display_name":"Zhixu Du","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Du, Zhixu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128649048","display_name":"Krishna Teja Chitty-Venkata","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chitty-Venkata, Krishna Teja","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014448094","display_name":"Murali Emani","orcid":"https://orcid.org/0000-0002-6279-0007"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Emani, Murali","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128659285","display_name":"Venkatram Vishwanath","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vishwanath, Venkatram","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123713900","display_name":"Hai Helen Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Hai Helen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101795688","display_name":"Yiran Chen","orcid":"https://orcid.org/0000-0001-6626-5413"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Yiran","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":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26556977,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T12761","display_name":"Data Stream Mining Techniques","score":0.28369998931884766,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.28369998931884766,"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/T12127","display_name":"Software System Performance and Reliability","score":0.11749999970197678,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.05920000001788139,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.621999979019165},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5471000075340271},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5307000279426575},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5157999992370605},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.47119998931884766},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4438999891281128},{"id":"https://openalex.org/keywords/parameter-space","display_name":"Parameter space","score":0.3944999873638153},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.38600000739097595}],"concepts":[{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.621999979019165},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5471000075340271},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5332000255584717},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5307000279426575},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5157999992370605},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.47119998931884766},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4438999891281128},{"id":"https://openalex.org/C73586568","wikidata":"https://www.wikidata.org/wiki/Q2600211","display_name":"Parameter space","level":2,"score":0.3944999873638153},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.38600000739097595},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.3747999966144562},{"id":"https://openalex.org/C2984679396","wikidata":"https://www.wikidata.org/wiki/Q7602986","display_name":"State dependent","level":2,"score":0.367000013589859},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3644999861717224},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.36230000853538513},{"id":"https://openalex.org/C52918065","wikidata":"https://www.wikidata.org/wiki/Q230945","display_name":"State-space representation","level":2,"score":0.35019999742507935},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33880001306533813},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3125999867916107},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.2978000044822693},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.28949999809265137},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.26350000500679016},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.26249998807907104},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.25929999351501465}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2603.06938","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2603.06938","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.06938","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"pmh:doi:10.48550/arxiv.2603.06938","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"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":{"Mixture-of-experts":[0],"(MoE)":[1],"is":[2],"a":[3,82,150],"common":[4],"approach":[5],"for":[6,112],"increasing":[7],"parameter":[8,79],"capacity,":[9],"but":[10],"applying":[11],"MoE":[12,53,164],"to":[13,32,49],"state":[14,27,60,84],"space":[15],"model":[16],"(SSM)":[17],"token":[18],"mixers":[19],"can":[20,47,165],"multiply":[21],"the":[22,25,67,88,97,117,120,147,171],"cost":[23,174],"of":[24,69],"recurrent":[26],"update.":[28],"We":[29,43],"study":[30],"how":[31],"introduce":[33],"expert":[34],"specialization":[35],"into":[36],"selective":[37],"SSMs":[38,114],"while":[39,169],"preserving":[40],"computational":[41],"efficiency.":[42],"show":[44],"that":[45,162],"MoE--SSM":[46],"refer":[48],"two":[50,121],"designs:":[51],"(1)":[52],"over":[54,102],"separated":[55],"SSMs,":[56],"which":[57,75],"maintains":[58,81],"multiple":[59],"trajectories":[61],"and":[62,71,86,110,115,131,135,156],"thus":[63],"scales":[64],"compute":[65],"with":[66,149],"number":[68],"experts;":[70],"(2)":[72],"MoE-parameterized":[73,113],"SSM,":[74],"mixes":[76],"experts":[77],"in":[78,153],"space,":[80],"single":[83],"trajectory,":[85],"evaluates":[87],"recurrence":[89,173],"once.":[90],"Our":[91],"method,":[92],"Switch":[93],"Mamba":[94],"(Swimba),":[95],"follows":[96],"second":[98],"design":[99],"by":[100],"routing":[101],"expert-produced":[103],"SSM":[104,167],"streams.":[105],"Theoretically,":[106],"we":[107,124],"establish":[108],"well-definedness":[109],"stability":[111],"characterize":[116],"relationship":[118],"between":[119],"designs.":[122],"Empirically,":[123],"evaluate":[125],"Swimba":[126,140],"on":[127],"standard":[128],"benchmark":[129],"tasks":[130],"measure":[132],"real-time":[133,154],"throughput":[134],"latency.":[136],"Under":[137],"matched":[138],"FLOPs,":[139],"achieves":[141],"slightly":[142],"better":[143],"average":[144],"performance":[145],"than":[146],"baseline,":[148],"small":[151],"slowdown":[152],"latency":[155],"throughput.":[157],"Overall,":[158],"these":[159],"results":[160],"suggest":[161],"parameter-space":[163],"increase":[166],"capacity":[168],"keeping":[170],"dominant":[172],"fixed.":[175]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-03-11T00:00:00"}
