{"id":"https://openalex.org/W7165670803","doi":"https://doi.org/10.48550/arxiv.2606.21963","title":"Holmes: Multimodal Agentic Diagnosis for Mixed-Language Mobile Crashes at Industrial Scale","display_name":"Holmes: Multimodal Agentic Diagnosis for Mixed-Language Mobile Crashes at Industrial Scale","publication_year":2026,"publication_date":"2026-06-20","ids":{"openalex":"https://openalex.org/W7165670803","doi":"https://doi.org/10.48550/arxiv.2606.21963"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.21963","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.21963","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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.21963","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139191669","display_name":"Jia Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Jia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139203983","display_name":"Wenyuan Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Wenyuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139209834","display_name":"Ting Peng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peng, Ting","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072212265","display_name":"Haibin Zheng","orcid":"https://orcid.org/0000-0002-8997-5343"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zheng, Haibin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5060932650","display_name":"Yuetang Deng","orcid":"https://orcid.org/0009-0003-7060-4109"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Deng, Yuetang","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":0.7560999989509583,"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":0.7560999989509583,"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.07580000162124634,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/T10639","display_name":"Advanced Software Engineering Methodologies","score":0.04129999876022339,"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/debugging","display_name":"Debugging","score":0.7746000289916992},{"id":"https://openalex.org/keywords/thread","display_name":"Thread (computing)","score":0.4693000018596649},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.3993000090122223},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.3919999897480011},{"id":"https://openalex.org/keywords/fuzz-testing","display_name":"Fuzz testing","score":0.384799987077713},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.3783000111579895},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.35179999470710754},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.33410000801086426}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8202000260353088},{"id":"https://openalex.org/C168065819","wikidata":"https://www.wikidata.org/wiki/Q845566","display_name":"Debugging","level":2,"score":0.7746000289916992},{"id":"https://openalex.org/C138101251","wikidata":"https://www.wikidata.org/wiki/Q213092","display_name":"Thread (computing)","level":2,"score":0.4693000018596649},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.3993000090122223},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.3919999897480011},{"id":"https://openalex.org/C111065885","wikidata":"https://www.wikidata.org/wiki/Q1189053","display_name":"Fuzz testing","level":3,"score":0.384799987077713},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.3783000111579895},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37779998779296875},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.35179999470710754},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3506999909877777},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.33410000801086426},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33379998803138733},{"id":"https://openalex.org/C84945661","wikidata":"https://www.wikidata.org/wiki/Q7366567","display_name":"Root cause","level":2,"score":0.32350000739097595},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.3167000114917755},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.31470000743865967},{"id":"https://openalex.org/C110251889","wikidata":"https://www.wikidata.org/wiki/Q1569697","display_name":"Model checking","level":2,"score":0.3138999938964844},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.31369999051094055},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.31200000643730164},{"id":"https://openalex.org/C98025372","wikidata":"https://www.wikidata.org/wiki/Q477538","display_name":"Systems architecture","level":3,"score":0.31060001254081726},{"id":"https://openalex.org/C97686452","wikidata":"https://www.wikidata.org/wiki/Q7604153","display_name":"Static analysis","level":2,"score":0.2969000041484833},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.29510000348091125},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.28690001368522644},{"id":"https://openalex.org/C105446022","wikidata":"https://www.wikidata.org/wiki/Q445962","display_name":"Legacy system","level":3,"score":0.27230000495910645},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.2646999955177307},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.25200000405311584}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.21963","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.21963","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.21963","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.21963","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":"Preprint"},"sustainable_development_goals":[{"score":0.6162858605384827,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Diagnosing":[0],"mobile":[1],"crashes":[2,122],"in":[3,46,129,147],"ultra-large-scale":[4],"industrial":[5],"applications":[6],"is":[7],"a":[8,52,77],"formidable":[9],"challenge":[10],"due":[11],"to":[12,26,88,115],"the":[13,18,24,90,104],"sheer":[14],"volume":[15],"of":[16,20],"code,":[17],"complexity":[19],"mixed-language":[21],"environments,":[22],"and":[23,67,97,133],"inability":[25],"reproduce":[27],"failures":[28],"locally.":[29],"Traditional":[30],"static":[31],"analysis":[32,59],"struggles":[33],"with":[34],"scalability,":[35],"while":[36],"existing":[37],"LLM-based":[38],"agents":[39],"often":[40],"rely":[41],"on":[42,120],"reproducible":[43],"environments":[44],"unavailable":[45],"post-mortem":[47],"scenarios.":[48],"We":[49],"present":[50],"Holmes,":[51],"multi-agent":[53],"system":[54,99],"that":[55,81],"automates":[56],"root":[57],"cause":[58],"by":[60,138],"synthesizing":[61],"multimodal":[62],"runtime":[63,108],"signals--stack":[64],"traces,":[65],"logs,":[66],"thread":[68],"states--to":[69],"reconstruct":[70],"failure":[71],"contexts":[72],"without":[73],"reproduction.":[74],"Holmes":[75,110,125],"introduces":[76],"hierarchical":[78],"Retrieve-Explore-Reason":[79],"architecture":[80],"leverages":[82],"low-level":[83],"artifacts":[84],"(e.g.,":[85],"registers,":[86],"assembly)":[87],"bridge":[89],"semantic":[91],"gap":[92],"between":[93],"open-source":[94],"business":[95],"logic":[96],"closed-source":[98],"frameworks.":[100],"By":[101],"dynamically":[102],"compressing":[103],"search":[105],"space":[106],"using":[107],"clues,":[109],"precisely":[111],"navigates":[112],"70-million-line":[113],"codebases":[114],"identify":[116],"non-local":[117],"defects.":[118],"Evaluated":[119],"real-world":[121],"from":[123],"WeChat,":[124],"achieves":[126],"87.6%":[127],"accuracy":[128],"function-level":[130],"fault":[131],"localization":[132],"reduces":[134],"average":[135],"investigation":[136],"time":[137],"over":[139],"98%":[140],"(to":[141],"~77":[142],"seconds),":[143],"demonstrating":[144],"its":[145],"effectiveness":[146],"transforming":[148],"labor-intensive":[149],"debugging":[150],"into":[151],"an":[152],"efficient":[153],"verification":[154],"workflow.":[155]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-24T00:00:00"}
