{"id":"https://openalex.org/W7133293646","doi":"https://doi.org/10.48550/arxiv.2603.02032","title":"MetaRCA: A Generalizable Root Cause Analysis Framework for Cloud-Native Systems Powered by Meta Causal Knowledge","display_name":"MetaRCA: A Generalizable Root Cause Analysis Framework for Cloud-Native Systems Powered by Meta Causal Knowledge","publication_year":2026,"publication_date":"2026-03-02","ids":{"openalex":"https://openalex.org/W7133293646","doi":"https://doi.org/10.48550/arxiv.2603.02032"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.02032","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.02032","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":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.02032","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5127969336","display_name":"Shuai Liang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liang, Shuai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128026495","display_name":"Pengfei Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Pengfei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127937407","display_name":"Bozhe Tian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tian, Bozhe","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121796791","display_name":"Gou Tan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tan, Gou","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127911389","display_name":"Maohong Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Maohong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127974081","display_name":"Youjun Qu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qu, Youjun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127907321","display_name":"Yahui Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Yahui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127923727","display_name":"Yiduo Shang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shang, Yiduo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5005225012","display_name":"Chongkang Tan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tan, Chongkang","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":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/T12127","display_name":"Software System Performance and Reliability","score":0.6894000172615051,"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"}},"topics":[{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.6894000172615051,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.10090000182390213,"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":0.02199999988079071,"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/observability","display_name":"Observability","score":0.6204000115394592},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6179999709129333},{"id":"https://openalex.org/keywords/root-cause","display_name":"Root cause","score":0.589900016784668},{"id":"https://openalex.org/keywords/root-cause-analysis","display_name":"Root cause analysis","score":0.5785999894142151},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.4754999876022339},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.4514999985694885},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4318999946117401},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.4284000098705292},{"id":"https://openalex.org/keywords/causal-inference","display_name":"Causal inference","score":0.40849998593330383}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6859999895095825},{"id":"https://openalex.org/C36299963","wikidata":"https://www.wikidata.org/wiki/Q1369844","display_name":"Observability","level":2,"score":0.6204000115394592},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6179999709129333},{"id":"https://openalex.org/C84945661","wikidata":"https://www.wikidata.org/wiki/Q7366567","display_name":"Root cause","level":2,"score":0.589900016784668},{"id":"https://openalex.org/C130963320","wikidata":"https://www.wikidata.org/wiki/Q1401207","display_name":"Root cause analysis","level":2,"score":0.5785999894142151},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5109999775886536},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.4754999876022339},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.4514999985694885},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4318999946117401},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.4284000098705292},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41429999470710754},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.40849998593330383},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40630000829696655},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3675999939441681},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3537999987602234},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3508000075817108},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.3345000147819519},{"id":"https://openalex.org/C63540848","wikidata":"https://www.wikidata.org/wiki/Q3140932","display_name":"Fault tolerance","level":2,"score":0.32249999046325684},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3151000142097473},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.314300000667572},{"id":"https://openalex.org/C171078966","wikidata":"https://www.wikidata.org/wiki/Q111029","display_name":"Root (linguistics)","level":2,"score":0.3102000057697296},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.30469998717308044},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.2980000078678131},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.29789999127388},{"id":"https://openalex.org/C11671645","wikidata":"https://www.wikidata.org/wiki/Q5054567","display_name":"Causal model","level":2,"score":0.2953000068664551},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.2921000123023987},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.27630001306533813},{"id":"https://openalex.org/C86610423","wikidata":"https://www.wikidata.org/wiki/Q1925081","display_name":"Metamodeling","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2554999887943268}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.02032","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.02032","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":"doi:10.48550/arxiv.2603.02032","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.02032","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":false,"raw_source_name":null,"raw_type":"Preprint"},"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":{"The":[0],"dynamics":[1],"and":[2,47,64,118,145,152,165,184],"complexity":[3,197],"of":[4,50,62],"cloud-native":[5,77],"systems":[6],"present":[7],"significant":[8,21],"challenges":[9],"for":[10,76,156],"Root":[11],"Cause":[12],"Analysis":[13],"(RCA).":[14],"While":[15],"causality-based":[16],"RCA":[17,66,74],"methods":[18],"have":[19],"shown":[20],"progress":[22],"in":[23,182,188],"recent":[24],"years,":[25],"their":[26],"practical":[27],"adoption":[28],"is":[29],"fundamentally":[30],"limited":[31],"by":[32,131,178],"three":[33],"intertwined":[34],"challenges:":[35],"poor":[36],"scalability":[37],"against":[38],"system":[39,45,196],"complexity,":[40],"brittle":[41],"generalization":[42],"across":[43,214],"different":[44],"topologies,":[46],"inadequate":[48],"integration":[49],"domain":[51],"knowledge.":[52],"These":[53],"limitations":[54],"create":[55],"a":[56,72,82,88,122,127,137],"vicious":[57],"cycle,":[58],"hindering":[59],"the":[60,94,99,134,142,175],"development":[61],"robust":[63,207],"efficient":[65],"solutions.":[67],"This":[68,191],"paper":[69],"introduces":[70],"MetaRCA,":[71],"generalizable":[73],"framework":[75],"systems.":[78,216],"MetaRCA":[79,125,169,205],"first":[80],"constructs":[81],"Meta":[83],"Causal":[84],"Graph":[85],"(MCG)":[86],"offline,":[87],"reusable":[89],"knowledge":[90,109],"base":[91],"defined":[92],"at":[93],"metadata":[95],"level.":[96],"To":[97],"build":[98],"MCG,":[100],"we":[101],"propose":[102],"an":[103],"evidence-driven":[104],"algorithm":[105],"that":[106],"systematically":[107],"fuses":[108],"from":[110],"Large":[111],"Language":[112],"Models":[113],"(LLMs),":[114],"historical":[115],"fault":[116,123],"reports,":[117],"observability":[119],"data.":[120],"When":[121],"occurs,":[124],"performs":[126],"lightweight":[128],"online":[129],"inference":[130],"dynamically":[132],"instantiating":[133],"MCG":[135],"into":[136],"localized":[138],"graph":[139],"based":[140],"on":[141,162],"current":[143],"context,":[144],"then":[146],"leverages":[147],"real-time":[148],"data":[149],"to":[150],"weight":[151],"prune":[153],"causal":[154],"links":[155],"precise":[157],"root":[158],"cause":[159],"localization.":[160],"Evaluated":[161],"252":[163],"public":[164],"59":[166],"production":[167],"failures,":[168],"demonstrates":[170],"state-of-the-art":[171],"performance.":[172],"It":[173],"surpasses":[174],"strongest":[176],"baseline":[177],"29":[179],"percentage":[180,186],"points":[181,187],"service-level":[183],"48":[185],"metric-level":[189],"accuracy.":[190],"performance":[192],"advantage":[193],"widens":[194],"as":[195],"increases,":[198],"with":[199],"its":[200],"overhead":[201],"scaling":[202],"near-linearly.":[203],"Crucially,":[204],"shows":[206],"cross-system":[208],"generalization,":[209],"maintaining":[210],"over":[211],"80%":[212],"accuracy":[213],"diverse":[215]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-03-04T00:00:00"}