{"id":"https://openalex.org/W7160935159","doi":"https://doi.org/10.1109/icde65706.2026.00296","title":"OpenZL: Using Graphs to Compress Smaller and Faster","display_name":"OpenZL: Using Graphs to Compress Smaller and Faster","publication_year":2026,"publication_date":"2026-05-01","ids":{"openalex":"https://openalex.org/W7160935159","doi":"https://doi.org/10.1109/icde65706.2026.00296"},"language":null,"primary_location":{"id":"doi:10.1109/icde65706.2026.00296","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde65706.2026.00296","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 42nd International Conference on Data Engineering (ICDE)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.09928","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014705012","display_name":"Y Collet","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092558","display_name":"BC Platforms (Finland)","ror":"https://ror.org/002fen565","country_code":"FI","type":"company","lineage":["https://openalex.org/I4210092558"]},{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["FI","US"],"is_corresponding":false,"raw_author_name":"Yann Collet","raw_affiliation_strings":["Meta Platforms, Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta Platforms, Inc","institution_ids":["https://openalex.org/I4210092558","https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058280937","display_name":"Nick Terrell","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092558","display_name":"BC Platforms (Finland)","ror":"https://ror.org/002fen565","country_code":"FI","type":"company","lineage":["https://openalex.org/I4210092558"]},{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["FI","US"],"is_corresponding":false,"raw_author_name":"Nick Terrell","raw_affiliation_strings":["Meta Platforms, Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta Platforms, Inc","institution_ids":["https://openalex.org/I4210092558","https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120289912","display_name":"W. Felix Handte","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092558","display_name":"BC Platforms (Finland)","ror":"https://ror.org/002fen565","country_code":"FI","type":"company","lineage":["https://openalex.org/I4210092558"]},{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["FI","US"],"is_corresponding":false,"raw_author_name":"Winston Felix Handte","raw_affiliation_strings":["Meta Platforms, Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta Platforms, Inc","institution_ids":["https://openalex.org/I4210092558","https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120289913","display_name":"Danielle Rozenblit","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092558","display_name":"BC Platforms (Finland)","ror":"https://ror.org/002fen565","country_code":"FI","type":"company","lineage":["https://openalex.org/I4210092558"]},{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["FI","US"],"is_corresponding":false,"raw_author_name":"Danielle Rozenblit","raw_affiliation_strings":["Meta Platforms, Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta Platforms, Inc","institution_ids":["https://openalex.org/I4210092558","https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135966433","display_name":"Victor Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092558","display_name":"BC Platforms (Finland)","ror":"https://ror.org/002fen565","country_code":"FI","type":"company","lineage":["https://openalex.org/I4210092558"]},{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["FI","US"],"is_corresponding":false,"raw_author_name":"Victor Zhang","raw_affiliation_strings":["Meta Platforms, Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta Platforms, Inc","institution_ids":["https://openalex.org/I4210092558","https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135950369","display_name":"Kevin Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092558","display_name":"BC Platforms (Finland)","ror":"https://ror.org/002fen565","country_code":"FI","type":"company","lineage":["https://openalex.org/I4210092558"]},{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["FI","US"],"is_corresponding":false,"raw_author_name":"Kevin Zhang","raw_affiliation_strings":["Meta Platforms, Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta Platforms, Inc","institution_ids":["https://openalex.org/I4210092558","https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120289914","display_name":"Yaelle Goldschlag","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092558","display_name":"BC Platforms (Finland)","ror":"https://ror.org/002fen565","country_code":"FI","type":"company","lineage":["https://openalex.org/I4210092558"]},{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["FI","US"],"is_corresponding":false,"raw_author_name":"Yaelle Goldschlag","raw_affiliation_strings":["Meta Platforms, Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta Platforms, Inc","institution_ids":["https://openalex.org/I4210092558","https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135956111","display_name":"Jennifer Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092558","display_name":"BC Platforms (Finland)","ror":"https://ror.org/002fen565","country_code":"FI","type":"company","lineage":["https://openalex.org/I4210092558"]},{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["FI","US"],"is_corresponding":false,"raw_author_name":"Jennifer Lee","raw_affiliation_strings":["Meta Platforms, Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta Platforms, Inc","institution_ids":["https://openalex.org/I4210092558","https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027243157","display_name":"Elliot Gorokhovsky","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092558","display_name":"BC Platforms (Finland)","ror":"https://ror.org/002fen565","country_code":"FI","type":"company","lineage":["https://openalex.org/I4210092558"]},{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["FI","US"],"is_corresponding":false,"raw_author_name":"Elliot Gorokhovsky","raw_affiliation_strings":["Meta Platforms, Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta Platforms, Inc","institution_ids":["https://openalex.org/I4210092558","https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120289909","display_name":"Yonatan Komornik","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092558","display_name":"BC Platforms (Finland)","ror":"https://ror.org/002fen565","country_code":"FI","type":"company","lineage":["https://openalex.org/I4210092558"]},{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["FI","US"],"is_corresponding":false,"raw_author_name":"Yonatan Komornik","raw_affiliation_strings":["Meta Platforms, Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta Platforms, Inc","institution_ids":["https://openalex.org/I4210092558","https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120289910","display_name":"Daniel Riegel","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092558","display_name":"BC Platforms (Finland)","ror":"https://ror.org/002fen565","country_code":"FI","type":"company","lineage":["https://openalex.org/I4210092558"]},{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["FI","US"],"is_corresponding":false,"raw_author_name":"Daniel Riegel","raw_affiliation_strings":["Meta Platforms, Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta Platforms, Inc","institution_ids":["https://openalex.org/I4210092558","https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120289911","display_name":"Stan Angelov","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092558","display_name":"BC Platforms (Finland)","ror":"https://ror.org/002fen565","country_code":"FI","type":"company","lineage":["https://openalex.org/I4210092558"]},{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["FI","US"],"is_corresponding":false,"raw_author_name":"Stan Angelov","raw_affiliation_strings":["Meta Platforms, Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta Platforms, Inc","institution_ids":["https://openalex.org/I4210092558","https://openalex.org/I4210114444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049410166","display_name":"Nadav Rotem","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092558","display_name":"BC Platforms (Finland)","ror":"https://ror.org/002fen565","country_code":"FI","type":"company","lineage":["https://openalex.org/I4210092558"]},{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["FI","US"],"is_corresponding":false,"raw_author_name":"Nadav Rotem","raw_affiliation_strings":["Meta Platforms, Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta Platforms, Inc","institution_ids":["https://openalex.org/I4210092558","https://openalex.org/I4210114444"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"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":0.49475001,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3971","last_page":"3984"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.3986000120639801,"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/T11269","display_name":"Algorithms and Data Compression","score":0.3986000120639801,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.2434999942779541,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.10320000350475311,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.7389000058174133},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.6782000064849854},{"id":"https://openalex.org/keywords/gas-compressor","display_name":"Gas compressor","score":0.5817000269889832},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5367000102996826},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.532800018787384},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.527899980545044},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.4474000036716461},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.4410000145435333}],"concepts":[{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.7389000058174133},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7373999953269958},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.6782000064849854},{"id":"https://openalex.org/C131097465","wikidata":"https://www.wikidata.org/wiki/Q178898","display_name":"Gas compressor","level":2,"score":0.5817000269889832},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5367000102996826},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.532800018787384},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.527899980545044},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.4474000036716461},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.4410000145435333},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.3898000121116638},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.3806000053882599},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3743000030517578},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.3555000126361847},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3287999927997589},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.32829999923706055},{"id":"https://openalex.org/C4438859","wikidata":"https://www.wikidata.org/wiki/Q186117","display_name":"Timeline","level":2,"score":0.31940001249313354},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.31700000166893005},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31690001487731934},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.3140999972820282},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.3118000030517578},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30410000681877136},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2985000014305115},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2930999994277954},{"id":"https://openalex.org/C74197172","wikidata":"https://www.wikidata.org/wiki/Q1195339","display_name":"Directed acyclic graph","level":2,"score":0.28529998660087585},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.2565000057220459},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.2540999948978424}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icde65706.2026.00296","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde65706.2026.00296","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 42nd International Conference on Data Engineering (ICDE)","raw_type":"proceedings-article"},{"id":"doi:10.48550/arxiv.2605.09928","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.09928","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.09928","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.09928","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5313340425491333,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1777016212","https://openalex.org/W1877865836","https://openalex.org/W1975965284","https://openalex.org/W1994211684","https://openalex.org/W1995875735","https://openalex.org/W2024171325","https://openalex.org/W2060108852","https://openalex.org/W2074854298","https://openalex.org/W2107745473","https://openalex.org/W2126105956","https://openalex.org/W2129652681","https://openalex.org/W2137012911","https://openalex.org/W2138630447","https://openalex.org/W2161628678","https://openalex.org/W2504080024","https://openalex.org/W2765756720","https://openalex.org/W2768628697","https://openalex.org/W2888745973","https://openalex.org/W2905575949","https://openalex.org/W3015251037","https://openalex.org/W3034011029","https://openalex.org/W3034743539","https://openalex.org/W3132214945","https://openalex.org/W4224314722","https://openalex.org/W4225502295","https://openalex.org/W4283691381","https://openalex.org/W4381046832","https://openalex.org/W4406142199"],"related_works":[],"abstract_inverted_index":{"In":[0,96],"the":[1,54,59,68,114],"last":[2],"few":[3],"decades,":[4],"research":[5],"techniques":[6,19,74],"have":[7,20,75,211],"improved":[8],"lossless":[9],"compression":[10,41,110,125,175,240],"ratios":[11,176],"by":[12,45,153],"significantly":[13],"increasing":[14],"processing":[15],"time.":[16],"However,":[17],"these":[18,73,102],"not":[21],"gained":[22],"popularity":[23],"in":[24,40,83,216,234],"industry":[25],"because":[26],"production":[27],"systems":[28,65],"require":[29],"high":[30],"throughput":[31],"and":[32,56,89,94,138,177,237],"low":[33],"resource":[34],"utilization.":[35],"Instead,":[36],"real":[37],"world":[38],"improvements":[39,215],"are":[42,80,85,90],"increasingly":[43],"realized":[44],"building":[46],"application-specific":[47,163],"compressors":[48,164,183],"which":[49,149],"can":[50,104,150],"exploit":[51],"knowledge":[52],"about":[53],"structure":[55],"semantics":[57],"of":[58,117,131,148,162,187,204],"data":[60,140,239],"being":[61,201],"compressed.":[62],"Application-specific":[63],"compressor":[64],"outperform":[66],"even":[67],"best":[69],"generic":[70],"compressors,":[71,194],"but":[72],"severe":[76],"drawbacks":[77],"--":[78],"they":[79],"inherently":[81],"limited":[82],"applicability,":[84],"hard":[86],"to":[87,92,180,191,226],"develop,":[88],"difficult":[91],"maintain":[93],"deploy.":[95],"this":[97,136],"work,":[98],"we":[99],"show":[100],"that":[101,171],"challenges":[103],"be":[105,151],"overcome":[106],"with":[107,165,220],"a":[108,119,127,142,154,185,231],"new":[109,120],"strategy.":[111],"We":[112],"propose":[113],"\"graph":[115],"model\"":[116],"compression,":[118],"theoretical":[121],"framework":[122,137],"for":[123,241],"representing":[124],"as":[126],"directed":[128],"acyclic":[129],"graph":[130],"modular":[132],"codecs.":[133],"OpenZL":[134,172,195,228],"implements":[135],"compresses":[139],"into":[141],"self-describing":[143],"wire":[144],"format,":[145],"any":[146],"configuration":[147],"decompressed":[152],"universal":[155],"decoder.":[156],"OpenZL's":[157],"design":[158],"enables":[159],"rapid":[160],"development":[161,221],"minimal":[166],"code.":[167],"Experimental":[168],"results":[169],"demonstrate":[170],"achieves":[173],"superior":[174],"speeds":[178],"compared":[179],"state-of-the-art":[181],"general-purpose":[182],"on":[184,198],"variety":[186],"real-world":[188],"datasets.":[189],"Compared":[190],"ratio-focused":[192],"deep-learning":[193],"is":[196],"competitive":[197],"ratio":[199],"while":[200],"many":[202],"orders":[203],"magnitude":[205],"faster.":[206],"Internal":[207],"deployments":[208],"at":[209],"Meta":[210],"also":[212],"shown":[213],"consistent":[214],"size":[217],"and/or":[218],"speed,":[219],"timelines":[222],"reduced":[223],"from":[224],"months":[225],"days.":[227],"thus":[229],"represents":[230],"significant":[232],"advance":[233],"practical,":[235],"scalable,":[236],"maintainable":[238],"modern":[242],"data-intensive":[243],"applications.":[244]},"counts_by_year":[],"updated_date":"2026-08-14T07:06:38.338062","created_date":"2026-05-13T00:00:00"}