{"id":"https://openalex.org/W7102577063","doi":"https://doi.org/10.48550/arxiv.2510.24793","title":"SwiftEmbed: Ultra-Fast Text Embeddings via Static Token Lookup for Real-Time Applications","display_name":"SwiftEmbed: Ultra-Fast Text Embeddings via Static Token Lookup for Real-Time Applications","publication_year":2025,"publication_date":"2025-10-27","ids":{"openalex":"https://openalex.org/W7102577063","doi":"https://doi.org/10.48550/arxiv.2510.24793"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2510.24793","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2510.24793","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.2510.24793","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Lansiaux, Edouard","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Lansiaux, Edouard","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Simonet, Antoine","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Simonet, Antoine","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Wiel, Eric","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wiel, Eric","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"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":true,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.4318000078201294,"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/T10028","display_name":"Topic Modeling","score":0.4318000078201294,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.09480000287294388,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.03009999915957451,"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/embedding","display_name":"Embedding","score":0.7752000093460083},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.6650000214576721},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.6488999724388123},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.48249998688697815},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.44029998779296875},{"id":"https://openalex.org/keywords/lookup-table","display_name":"Lookup table","score":0.3231000006198883}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.78329998254776},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7752000093460083},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.6650000214576721},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.6488999724388123},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.48249998688697815},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.44029998779296875},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4296000003814697},{"id":"https://openalex.org/C134835016","wikidata":"https://www.wikidata.org/wiki/Q690265","display_name":"Lookup table","level":2,"score":0.3231000006198883},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30469998717308044},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.2883000075817108},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27300000190734863},{"id":"https://openalex.org/C2779190172","wikidata":"https://www.wikidata.org/wiki/Q4913888","display_name":"Binary data","level":3,"score":0.25929999351501465},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2547000050544739}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2510.24793","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2510.24793","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.2510.24793","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2510.24793","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0],"present":[1],"SwiftEmbed,":[2],"a":[3,21,106],"production-oriented":[4],"serving":[5],"system":[6,44,110],"for":[7,16,83,91],"static":[8,51],"token":[9],"embeddings":[10],"that":[11],"achieves":[12],"1.12\\,ms":[13],"p50":[14],"latency":[15,117],"single-text":[17],"requests":[18,47],"while":[19],"maintaining":[20],"60.6":[22],"MTEB":[23],"average":[24],"score":[25],"across":[26],"8":[27],"representative":[28],"tasks.":[29],"Built":[30],"around":[31],"the":[32,43],"open-source":[33],"Potion-base-8M":[34],"distilled":[35],"model":[36],"from":[37,101],"MinishLab":[38],"and":[39,56,69,85,93,121],"implemented":[40],"in":[41],"Rust,":[42],"delivers":[45],"50,000":[46],"per":[48],"second":[49],"through":[50],"embedding":[52,113],"lookup,":[53],"mean":[54],"pooling,":[55],"zero-copy":[57],"IEEE754":[58],"binary":[59],"serialization.":[60],"Evaluation":[61],"demonstrates":[62],"exceptional":[63],"duplicate":[64],"detection":[65],"performance":[66,99],"(90.1%":[67],"AP)":[68],"strong":[70],"semantic":[71],"similarity":[72,86],"(76.1%":[73],"Spearman":[74],"correlation).":[75],"Performance":[76],"relative":[77],"to":[78,103],"Sentence-BERT":[79],"is":[80,118,126],"task-dependent:":[81],"robust":[82],"deduplication":[84],"workloads":[87],"(89--100%),":[88],"substantially":[89],"lower":[90],"classification":[92],"complex":[94],"retrieval":[95],"tasks":[96],"(75%).":[97],"Domain-specific":[98],"ranges":[100],"75%":[102],"131%":[104],"of":[105],"GloVe-840B":[107],"baseline.":[108],"The":[109],"targets":[111],"real-time":[112],"applications":[114],"where":[115,122],"sub-5\\,ms":[116],"operationally":[119],"critical":[120],"full":[123],"transformer":[124],"inference":[125],"not":[127],"feasible.":[128]},"counts_by_year":[],"updated_date":"2026-03-11T06:11:40.159057","created_date":"2025-10-31T00:00:00"}