{"id":"https://openalex.org/W4396893093","doi":"https://doi.org/10.1145/3651602","title":"Layered List Labeling","display_name":"Layered List Labeling","publication_year":2024,"publication_date":"2024-05-10","ids":{"openalex":"https://openalex.org/W4396893093","doi":"https://doi.org/10.1145/3651602"},"language":"en","primary_location":{"id":"doi:10.1145/3651602","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3651602","pdf_url":null,"source":{"id":"https://openalex.org/S4387289859","display_name":"Proceedings of the ACM on Management of Data","issn_l":"2836-6573","issn":["2836-6573"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Management of Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068761590","display_name":"Michael A. Bender","orcid":"https://orcid.org/0000-0001-7639-530X"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Michael A. Bender","raw_affiliation_strings":["Stony Brook University and RelationalAI, Stony Brook, NY, USA"],"raw_orcid":"https://orcid.org/0000-0001-7639-530X","affiliations":[{"raw_affiliation_string":"Stony Brook University and RelationalAI, Stony Brook, NY, USA","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084732971","display_name":"Alex Conway","orcid":"https://orcid.org/0000-0003-4890-7413"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alex Conway","raw_affiliation_strings":["Cornell Tech, New York, NY, USA"],"raw_orcid":"https://orcid.org/0000-0003-4890-7413","affiliations":[{"raw_affiliation_string":"Cornell Tech, New York, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087023890","display_name":"Mart\u0131\u0301n Farach-Colton","orcid":"https://orcid.org/0000-0003-3616-7788"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Martin Farach-Colton","raw_affiliation_strings":["New York University, New York, NY, USA"],"raw_orcid":"https://orcid.org/0000-0003-3616-7788","affiliations":[{"raw_affiliation_string":"New York University, New York, NY, USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061896240","display_name":"Hanna Koml\u00f3s","orcid":"https://orcid.org/0000-0001-5522-9193"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hanna Koml\u00f3s","raw_affiliation_strings":["New York University, New York, NY, USA"],"raw_orcid":"https://orcid.org/0000-0001-5522-9193","affiliations":[{"raw_affiliation_string":"New York University, New York, NY, USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005111940","display_name":"William Kuszmaul","orcid":"https://orcid.org/0000-0002-3855-3036"},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William Kuszmaul","raw_affiliation_strings":["Harvard University, Cambridge, MA, USA"],"raw_orcid":"https://orcid.org/0000-0002-3855-3036","affiliations":[{"raw_affiliation_string":"Harvard University, Cambridge, MA, USA","institution_ids":["https://openalex.org/I2801851002"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5068761590"],"corresponding_institution_ids":["https://openalex.org/I59553526"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05543213,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":"2","first_page":"1","last_page":"19"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9943000078201294,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9943000078201294,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9868999719619751,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9696999788284302,"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/computer-science","display_name":"Computer science","score":0.4025643467903137}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4025643467903137}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3651602","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3651602","pdf_url":null,"source":{"id":"https://openalex.org/S4387289859","display_name":"Proceedings of the ACM on Management of Data","issn_l":"2836-6573","issn":["2836-6573"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Management of Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1518873433","https://openalex.org/W1522203205","https://openalex.org/W1523925876","https://openalex.org/W1624393875","https://openalex.org/W1676865579","https://openalex.org/W1768637848","https://openalex.org/W1967569591","https://openalex.org/W1996578733","https://openalex.org/W2001326908","https://openalex.org/W2001726040","https://openalex.org/W2008518944","https://openalex.org/W2028778377","https://openalex.org/W2031770154","https://openalex.org/W2036871832","https://openalex.org/W2042611354","https://openalex.org/W2064750939","https://openalex.org/W2069574596","https://openalex.org/W2102467006","https://openalex.org/W2123145425","https://openalex.org/W2123290522","https://openalex.org/W2444572248","https://openalex.org/W2499700696","https://openalex.org/W2903131164","https://openalex.org/W2954903633","https://openalex.org/W3121082296","https://openalex.org/W3175994815","https://openalex.org/W4206451665","https://openalex.org/W4235407553","https://openalex.org/W4235499171","https://openalex.org/W4313227602","https://openalex.org/W4377130574","https://openalex.org/W6604486542"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"The":[0,29],"list-labeling":[1,147,178],"problem":[2],"is":[3,77,160],"one":[4,88,172],"of":[5,70,168,193],"the":[6,81,95,166,184],"most":[7],"basic":[8],"and":[9,25,59,108,134,144,188],"well-studied":[10],"algorithmic":[11],"primitives":[12],"in":[13,50,87,94,118,180],"data":[14,26],"structures,":[15],"with":[16,165],"an":[17],"extensive":[18],"literature":[19],"spanning":[20],"upper":[21],"bounds,":[22,24],"lower":[23],"management":[27],"applications.":[28],"classical":[30],"algorithm":[31,148],"for":[32,62,85,116,152],"this":[33,158],"problem,":[34],"dating":[35],"back":[36],"to":[37,48,101,136,138,182],"1981,":[38],"has":[39,46,113],"amortized":[40],"cost":[41],"O(log":[42],"bn).":[43],"Subsequent":[44],"work":[45],"led":[47],"improvements":[49],"three":[51,68,177],"directions:":[52],"low-latency":[53],"(worst-case)":[54],"bounds;":[55,58],"high-throughput":[56],"(expected)":[57],"(adaptive)":[60],"bounds":[61,93,151,190],"important":[63],"workloads.":[64],"Perhaps":[65],"surprisingly,":[66],"these":[67],"directions":[69],"research":[71],"have":[72,90],"remained":[73],"almost":[74],"entirely":[75],"disjoint---this":[76],"because,":[78],"so":[79],"far,":[80],"techniques":[82],"that":[83,157],"allow":[84],"progress":[86],"direction":[89],"forced":[91],"worsening":[92],"others.":[96],"Thus":[97],"there":[98],"would":[99],"appear":[100],"be":[102],"a":[103,127],"tension":[104,159],"between":[105],"worst-case,":[106,186],"adaptive,":[107,187],"expected":[109,189],"bounds.":[110],"List":[111],"labeling":[112],"been":[114],"proposed":[115],"use":[117],"databases":[119],"at":[120],"least":[121],"as":[122,124],"early":[123],"PODS'99,":[125],"but":[126],"database":[128],"needs":[129,135],"good":[130,150],"throughput,":[131],"response":[132],"time,":[133],"adapt":[137],"common":[139],"workloads":[140],"(e.g.,":[141],"bulk":[142],"loads),":[143],"no":[145],"current":[146],"achieve":[149],"all":[153],"three.":[154],"We":[155],"show":[156],"not":[161],"fundamental.":[162],"In":[163],"fact,":[164],"help":[167],"new":[169],"data-structural":[170],"techniques,":[171],"can":[173],"actually":[174],"combine":[175],"any":[176],"solutions":[179],"order":[181],"cherry-pick":[183],"best":[185],"from":[191],"each":[192],"them.":[194]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
