{"id":"https://openalex.org/W7160914891","doi":"https://doi.org/10.48550/arxiv.2605.08545","title":"Log analysis is necessary for credible evaluation of AI agents","display_name":"Log analysis is necessary for credible evaluation of AI agents","publication_year":2026,"publication_date":"2026-05-08","ids":{"openalex":"https://openalex.org/W7160914891","doi":"https://doi.org/10.48550/arxiv.2605.08545"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.08545","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.08545","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.2605.08545","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135936827","display_name":"Peter Kirgis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kirgis, Peter","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063345981","display_name":"Sayash Kapoor","orcid":"https://orcid.org/0000-0001-5695-280X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kapoor, Sayash","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030986512","display_name":"Stephan Rabanser","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rabanser, Stephan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135923485","display_name":"Nitya Nadgir","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nadgir, Nitya","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135982410","display_name":"Cozmin Ududec","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ududec, Cozmin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055765010","display_name":"Magda Dubois","orcid":"https://orcid.org/0000-0002-5396-1855"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dubois, Magda","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133561241","display_name":"JJ Allaire","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Allaire, JJ","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123507298","display_name":"Conrad Stosz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stosz, Conrad","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034914617","display_name":"Marius Hobbhahn","orcid":"https://orcid.org/0009-0003-8244-3154"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hobbhahn, Marius","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135977670","display_name":"Jacob Steinhardt","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Steinhardt, Jacob","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135930408","display_name":"Arvind Narayanan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Narayanan, Arvind","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":0.6410999894142151,"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":0.6410999894142151,"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.03720000013709068,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10906","display_name":"AI-based Problem Solving and Planning","score":0.025299999862909317,"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/credibility","display_name":"Credibility","score":0.8353999853134155},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.8069000244140625},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5004000067710876},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.4699000120162964},{"id":"https://openalex.org/keywords/outcome","display_name":"Outcome (game theory)","score":0.44699999690055847},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.34119999408721924}],"concepts":[{"id":"https://openalex.org/C2780224610","wikidata":"https://www.wikidata.org/wiki/Q1530061","display_name":"Credibility","level":2,"score":0.8353999853134155},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8069000244140625},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.609499990940094},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5004000067710876},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.4699000120162964},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.44699999690055847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38920000195503235},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.34119999408721924},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3352999985218048},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.334199994802475},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32600000500679016},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32019999623298645},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.30809998512268066},{"id":"https://openalex.org/C58642233","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Taxonomy (biology)","level":2,"score":0.28529998660087585},{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.25450000166893005}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.08545","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.08545","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.2605.08545","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.08545","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":0.4266824722290039,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Agent":[0],"benchmarks":[1],"typically":[2],"report":[3],"only":[4],"final":[5],"outcomes:":[6],"pass":[7],"or":[8,22,54],"fail.":[9],"This":[10],"threatens":[11],"evaluation":[12,107],"credibility":[13],"in":[14],"three":[15],"ways.":[16],"First,":[17],"scores":[18,50],"may":[19,34,51],"be":[20],"inflated":[21],"deflated":[23],"by":[24,58,136],"shortcuts":[25],"and":[26,44,70,76,90,112,139,170],"benchmark":[27,32,164],"artifacts,":[28],"misrepresenting":[29],"capability.":[30],"Second,":[31],"performance":[33,133],"fail":[35],"to":[36,41,85,105,145,153],"predict":[37],"real-world":[38],"utility":[39],"due":[40],"scaffold":[42],"limitations":[43],"recurring":[45],"failure":[46,142],"modes.":[47],"Finally,":[48],"capability":[49],"conceal":[52],"dangerous":[53],"catastrophic":[55],"actions":[56],"taken":[57],"the":[59,67,73],"agent.":[60],"We":[61,123,148],"argue":[62],"that":[63,131],"log":[64,110,121,157],"analysis":[65,71],"--":[66,82],"systematic":[68],"tracking":[69],"of":[72,78,103,117,156],"inputs,":[74],"execution,":[75],"outputs":[77],"an":[79],"AI":[80],"agent":[81,93],"is":[83],"necessary":[84],"overcome":[86],"these":[87,125],"validity":[88],"threats":[89,104],"promote":[91],"credible":[92,106],"evaluation.":[94],"In":[95],"this":[96],"paper,":[97],"we":[98],"(1)":[99],"present":[100],"a":[101,115],"taxonomy":[102],"documented":[108],"through":[109],"analysis,":[111,158],"(2)":[113],"develop":[114],"set":[116],"guiding":[118],"principles":[119,126],"for":[120],"analysis.":[122],"illustrate":[124],"on":[127],"tau-Bench":[128],"Airline,":[129],"revealing":[130],"pass^5":[132],"was":[134],"under-elicited":[135],"nearly":[137],"50%":[138],"surfacing":[140],"deployment":[141],"modes":[143],"invisible":[144],"outcome":[146],"metrics.":[147],"conclude":[149],"with":[150],"pragmatic":[151],"recommendations":[152],"increase":[154],"uptake":[155],"directed":[159],"at":[160],"diverse":[161],"stakeholders":[162],"including":[163],"creators,":[165],"model":[166],"developers,":[167],"independent":[168],"evaluators,":[169],"deployers.":[171]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-13T00:00:00"}