{"id":"https://openalex.org/W7160533132","doi":"https://doi.org/10.48550/arxiv.2605.04530","title":"SADE: Symptom-Aware Diagnostic Escalation for LLM-Based Network Troubleshooting","display_name":"SADE: Symptom-Aware Diagnostic Escalation for LLM-Based Network Troubleshooting","publication_year":2026,"publication_date":"2026-05-06","ids":{"openalex":"https://openalex.org/W7160533132","doi":"https://doi.org/10.48550/arxiv.2605.04530"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.04530","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.04530","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.2605.04530","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053434559","display_name":"Kuan-Hao Tseng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tseng, Kuan-Hao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106326450","display_name":"Niruth Bogahawatta","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bogahawatta, Niruth","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092681387","display_name":"Yasod Ginige","orcid":"https://orcid.org/0009-0004-0479-1767"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ginige, Yasod","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135537426","display_name":"Kosta Dekic","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dekic, Kosta","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070030239","display_name":"Arunan Sivanathan","orcid":"https://orcid.org/0000-0002-5596-8372"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sivanathan, Arunan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5038376039","display_name":"Suranga Seneviratne","orcid":"https://orcid.org/0000-0002-5485-5595"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Seneviratne, Suranga","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":0.5692999958992004,"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":0.5692999958992004,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.13179999589920044,"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":0.02539999969303608,"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/troubleshooting","display_name":"Troubleshooting","score":0.8808000087738037},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.6068000197410583},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5485000014305115},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5041999816894531},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.3910999894142151},{"id":"https://openalex.org/keywords/deliberation","display_name":"Deliberation","score":0.36039999127388},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.32989999651908875}],"concepts":[{"id":"https://openalex.org/C147494362","wikidata":"https://www.wikidata.org/wiki/Q2078905","display_name":"Troubleshooting","level":2,"score":0.8808000087738037},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6334999799728394},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.6068000197410583},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5485000014305115},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5041999816894531},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4083999991416931},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.3910999894142151},{"id":"https://openalex.org/C2776946740","wikidata":"https://www.wikidata.org/wiki/Q358652","display_name":"Deliberation","level":3,"score":0.36039999127388},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.32989999651908875},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3257000148296356},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.30959999561309814},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.3034000098705292},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.3005000054836273},{"id":"https://openalex.org/C2777996765","wikidata":"https://www.wikidata.org/wiki/Q122981","display_name":"Anagram","level":3,"score":0.29420000314712524},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.2939999997615814},{"id":"https://openalex.org/C2777220311","wikidata":"https://www.wikidata.org/wiki/Q6423340","display_name":"Knowledge acquisition","level":2,"score":0.28610000014305115},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.25540000200271606}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.04530","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.04530","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.2605.04530","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.04530","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":[{"score":0.7265157103538513,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"language":[1],"model":[2,160],"(LLM)":[3],"agents":[4,29],"are":[5],"increasingly":[6],"applied":[7],"to":[8,145],"network":[9,39],"troubleshooting,":[10],"but":[11],"root-cause":[12,115],"localization":[13],"on":[14,45],"public":[15,106],"benchmarks":[16],"remains":[17],"well":[18],"below":[19],"practical":[20],"deployment":[21],"thresholds.":[22],"We":[23,55],"argue":[24],"this":[25],"is":[26,154],"because":[27],"existing":[28],"do":[30],"not":[31,155],"encode":[32],"the":[33,65,105,131,137,146,152,159],"disciplined,":[34],"layer-by-layer":[35],"methodology":[36,69],"that":[37,48,63,151],"human":[38],"engineers":[40],"use,":[41],"and":[42,94],"instead":[43],"rely":[44],"free-form":[46],"deliberation":[47],"conflates":[49],"evidence":[50,82],"acquisition":[51,83],"with":[52,87],"hypothesis":[53,85],"commitment.":[54],"present":[56],"SADE":[57,74,113,138],"(Symptom-Aware":[58],"Diagnostic":[59],"Escalation),":[60],"an":[61,71],"agent":[62],"encodes":[64],"classical":[66],"Cisco":[67],"troubleshooting":[68],"as":[70],"explicit":[72],"policy.":[73],"pairs":[75],"a":[76,88,99,122,127,156],"phase-gated":[77],"diagnostic":[78,96,147],"workflow,":[79],"which":[80],"separates":[81],"from":[84],"commitment,":[86],"routed":[89],"library":[90],"of":[91,104,142,158],"fault-family":[92],"skills":[93],"high-yield":[95],"helpers.":[97],"On":[98],"held-out":[100],"523":[101],"incident":[102],"set":[103],"NIKA":[107],"benchmark":[108],"covering":[109],"eleven":[110],"unseen":[111],"scenarios,":[112],"improves":[114],"F1":[116],"by":[117],"37":[118],"percentage":[119],"points":[120,144],"over":[121],"ReAct":[123],"+":[124],"GPT-5":[125],"baseline;":[126],"model-controlled":[128],"comparison":[129],"against":[130],"same":[132],"Claude":[133],"Sonnet":[134],"backend":[135],"without":[136],"policy":[139,148],"attributes":[140],"22":[141],"those":[143],"alone,":[149],"showing":[150],"gain":[153],"side-effect":[157],"upgrade.":[161]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-08T00:00:00"}