{"id":"https://openalex.org/W7204967331","doi":"https://doi.org/10.48550/arxiv.2608.29228","title":"Localizing Emergent Failures in Agentic AI: Recovering Minimal Repair Families via Counterfactual Replay","display_name":"Localizing Emergent Failures in Agentic AI: Recovering Minimal Repair Families via Counterfactual Replay","publication_year":2026,"publication_date":"2026-08-29","ids":{"openalex":"https://openalex.org/W7204967331","doi":"https://doi.org/10.48550/arxiv.2608.29228"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2608.29228","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.29228","pdf_url":"https://arxiv.org/pdf/2608.29228","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,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2608.29228","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100626098","display_name":"Bingjie Li","orcid":"https://orcid.org/0000-0003-0294-4294","observed_orcids":["https://orcid.org/0000-0003-0294-4294","https://orcid.org/0009-0006-2470-6456"]},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li, Bingjie","raw_affiliation_strings":["School of Computer Science and Engineering , Northeastern University , Shenyang , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering , Northeastern University , Shenyang , China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5148896222","display_name":"Yumeng Song","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Song, Yumeng","raw_affiliation_strings":["Department of Computer Science , Aalborg University , Aalborg , Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science , Aalborg University , Aalborg , Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5148097983","display_name":"Zhongming Yao","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao, Zhongming","raw_affiliation_strings":["College of Computer Science and Technology , Zhejiang University , Hangzhou , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology , Zhejiang University , Hangzhou , China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5139163273","display_name":"Tianyi Li","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Li, Tianyi","raw_affiliation_strings":["Department of Computer Science , Aalborg University , Aalborg , Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science , Aalborg University , Aalborg , Denmark","institution_ids":["https://openalex.org/I891191580"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9247999787330627,"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"}},"topics":[{"id":"https://openalex.org/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9247999787330627,"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/T12127","display_name":"Software System Performance and Reliability","score":0.03790000081062317,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.0071000000461936,"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/agentic-ai","display_name":"agentic AI","score":0.8820000290870667},{"id":"https://openalex.org/keywords/llm-based-agents","display_name":"LLM agents","score":0.6819999814033508},{"id":"https://openalex.org/keywords/failure-localization","display_name":"failure localization","score":0.8119999766349792}],"concepts":[{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.782800018787384},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6869000196456909},{"id":"https://openalex.org/C117354338","wikidata":"https://www.wikidata.org/wiki/Q1165112","display_name":"Singleton","level":3,"score":0.5996000170707703},{"id":"https://openalex.org/C16311509","wikidata":"https://www.wikidata.org/wiki/Q4148050","display_name":"Dependency graph","level":3,"score":0.5595999956130981},{"id":"https://openalex.org/C2777984123","wikidata":"https://www.wikidata.org/wiki/Q9248237","display_name":"Pointwise","level":2,"score":0.5403000116348267},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5002999901771545},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.474700003862381},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.46299999952316284},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4375},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.36899998784065247},{"id":"https://openalex.org/C2779145032","wikidata":"https://www.wikidata.org/wiki/Q191494","display_name":"Digraph","level":2,"score":0.32919999957084656},{"id":"https://openalex.org/C45340560","wikidata":"https://www.wikidata.org/wiki/Q215382","display_name":"Disjoint sets","level":2,"score":0.30869999527931213},{"id":"https://openalex.org/C71889745","wikidata":"https://www.wikidata.org/wiki/Q1783264","display_name":"Counterfactual conditional","level":3,"score":0.29269999265670776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2777999937534332},{"id":"https://openalex.org/C2776544517","wikidata":"https://www.wikidata.org/wiki/Q189447","display_name":"Unexpected events","level":2,"score":0.260699987411499},{"id":"https://openalex.org/C143299363","wikidata":"https://www.wikidata.org/wiki/Q900584","display_name":"Attribution","level":2,"score":0.25130000710487366}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2608.29228","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.29228","pdf_url":"https://arxiv.org/pdf/2608.29228","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,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2608.29228","doi":"https://doi.org/10.48550/arxiv.2608.29228","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2608.29228","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,"listed_in":[],"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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2608.29228","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.29228","pdf_url":"https://arxiv.org/pdf/2608.29228","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,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7204967331.pdf","grobid_xml":"https://content.openalex.org/works/W7204967331.grobid-xml"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W4385965642","https://openalex.org/W4387490401","https://openalex.org/W6948524426","https://openalex.org/W7090833590","https://openalex.org/W7133222082","https://openalex.org/W7162471505","https://openalex.org/W7164065013","https://openalex.org/W7172405458","https://openalex.org/W7204456034"],"related_works":["https://openalex.org/W7219608473","https://openalex.org/W4416716969","https://openalex.org/W7223206304","https://openalex.org/W7162471505","https://openalex.org/W7211867988","https://openalex.org/W7202037924","https://openalex.org/W7203699722","https://openalex.org/W7215000138","https://openalex.org/W7204456034","https://openalex.org/W7164065013"],"abstract_inverted_index":{"Failures":[0],"in":[1],"agentic":[2],"AI":[3],"systems":[4],"can":[5],"arise":[6],"from":[7,27,64,100,116,143],"interactions":[8],"among":[9],"messages":[10],"exchanged":[11],"by":[12,78],"multiple":[13],"large":[14],"language":[15],"model":[16,141],"(LLM)":[17],"agents.":[18],"Pointwise":[19],"attribution":[20],"cannot":[21],"distinguish":[22],"a":[23,50,101,126],"jointly":[24,151],"necessary":[25,152],"repair":[26],"alternative":[28],"singleton":[29,71],"repairs.":[30,153],"We":[31,54],"formulate":[32],"Minimal":[33],"Repair":[34],"Family":[35,108,135],"Recovery":[36],"(MRFR):":[37],"recovering":[38],"all":[39],"inclusion-minimal":[40],"event":[41],"sets":[42],"whose":[43],"counterfactual":[44],"replay":[45,79,86,114,149],"restores":[46],"task":[47],"success":[48],"within":[49,91],"declared":[51,93],"size":[52],"bound.":[53],"propose":[55],"Graph-Constrained":[56],"Joint":[57],"Replay":[58],"(GCJR),":[59],"which":[60],"slices":[61],"failure-relevant":[62],"events":[63],"an":[65],"execution":[66],"dependency":[67],"graph,":[68],"constructs":[69],"graph-feasible":[70],"and":[72,75,138],"pair":[73],"candidates,":[74],"verifies":[76],"them":[77],"with":[80],"paired":[81],"clean":[82],"counterparts.":[83],"For":[84],"fixed":[85],"outcomes,":[87],"GCJR":[88,105],"is":[89],"exact":[90],"its":[92],"graph":[94],"domain.":[95],"On":[96,125],"90":[97],"in-scope":[98],"cases":[99],"120-DAG":[102],"controlled":[103],"benchmark,":[104],"achieves":[106,133],"1.000":[107,134],"Exact":[109,136],"Match":[110,137],"while":[111],"reducing":[112],"mean":[113,140],"calls":[115,142],"56.3":[117],"to":[118,122,145],"25.3":[119],"(55.1%)":[120],"relative":[121],"exhaustive":[123],"search.":[124],"24-case,":[127],"four-agent":[128],"LLM":[129],"pilot,":[130],"it":[131],"again":[132],"reduces":[139],"21.0":[144],"10.0":[146],"(52.4%);":[147],"single-event":[148],"misses":[150]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-09-02T00:00:00"}
