{"id":"https://openalex.org/W7164331416","doi":"https://doi.org/10.48550/arxiv.2606.11543","title":"SkillJuror: Measuring How Agent Skill Organization Changes Runtime Behavior","display_name":"SkillJuror: Measuring How Agent Skill Organization Changes Runtime Behavior","publication_year":2026,"publication_date":"2026-06-10","ids":{"openalex":"https://openalex.org/W7164331416","doi":"https://doi.org/10.48550/arxiv.2606.11543"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.11543","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.11543","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":null,"license_id":null,"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.2606.11543","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5138443921","display_name":"Zhiyu Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Zhiyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138480138","display_name":"Zihan Guo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guo, Zihan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138413932","display_name":"Bo Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Bo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138462001","display_name":"Bingwei Lu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lu, Bingwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138469116","display_name":"Jianghao Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Jianghao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138442409","display_name":"Yuanjian Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Yuanjian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5138407322","display_name":"Weinan Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Weinan","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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.17489999532699585,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.17489999532699585,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.14339999854564667,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.14319999516010284,"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/task","display_name":"Task (project management)","score":0.6704999804496765},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6589000225067139},{"id":"https://openalex.org/keywords/outcome","display_name":"Outcome (game theory)","score":0.6421999931335449},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6399000287055969},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.548799991607666},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.45579999685287476},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.37279999256134033}],"concepts":[{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6704999804496765},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6700999736785889},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6589000225067139},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.6421999931335449},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6399000287055969},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.548799991607666},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.45579999685287476},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.37279999256134033},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36230000853538513},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.3497999906539917},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.3287000060081482},{"id":"https://openalex.org/C2778058735","wikidata":"https://www.wikidata.org/wiki/Q4692253","display_name":"Aggregate data","level":2,"score":0.3231000006198883},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3228999972343445},{"id":"https://openalex.org/C124469403","wikidata":"https://www.wikidata.org/wiki/Q1813993","display_name":"Procedural knowledge","level":3,"score":0.2937000095844269},{"id":"https://openalex.org/C171078966","wikidata":"https://www.wikidata.org/wiki/Q111029","display_name":"Root (linguistics)","level":2,"score":0.2784000039100647},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.27619999647140503},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.266400009393692},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.2655999958515167},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.25929999351501465},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.2590999901294708}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.11543","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.11543","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.11543","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.11543","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.8610964417457581,"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":{"Agent":[0],"Skills":[1],"augment":[2],"large":[3],"language":[4],"model":[5],"(LLM)":[6],"agents":[7,41,176],"with":[8,50],"procedural":[9,180],"knowledge":[10,78],"at":[11,199],"inference":[12],"time,":[13],"but":[14,146],"current":[15],"benchmarks":[16],"rarely":[17],"distinguish":[18],"what":[19],"a":[20,36,51,58],"Skill":[21,62,94,166],"says":[22],"from":[23,100,109],"how":[24,175],"it":[25,49,172],"is":[26,133,147,168,197],"organized.":[27],"We":[28,55],"study":[29],"this":[30],"distinction":[31],"through":[32,65],"Progressive":[33,85,135],"Disclosure,":[34],"where":[35],"concise":[37],"root":[38],"file":[39],"points":[40],"to":[42,102,111],"supporting":[43,139],"resources":[44,95,140,190],"on":[45,152,186],"demand,":[46],"and":[47,72,104,178],"compare":[48],"normalized":[52,128],"flat":[53,129],"baseline.":[54,130],"present":[56],"SkillJuror,":[57],"framework":[59],"for":[60,193],"evaluating":[61],"writing":[63],"paradigms":[64],"semantically":[66],"controlled":[67],"variants,":[68],"matched":[69,123],"multi-trial":[70],"evaluations,":[71],"trajectory":[73,98],"evidence":[74],"while":[75,182],"holding":[76],"task":[77],"fixed.":[79],"In":[80],"an":[81],"82-task":[82],"SkillsBench":[83],"study,":[84],"Disclosure":[86,136],"changes":[87],"runtime":[88],"behavior":[89],"before":[90],"aggregate":[91],"outcomes:":[92],"distinct":[93],"touched":[96],"per":[97],"rise":[99,108],"1.18":[101],"3.85,":[103],"effective":[105],"uptake":[106],"events":[107],"1.33":[110],"3.92.":[112],"It":[113],"also":[114],"yields":[115],"17":[116],"additional":[117],"verifier-passing":[118],"trials":[119,124],"out":[120],"of":[121],"410":[122],"(+4.1%)":[125],"over":[126],"the":[127,188,194],"The":[131],"benefit":[132],"task-dependent.":[134],"helps":[137],"when":[138,149],"guide":[141],"implementation,":[142],"checking,":[143],"or":[144,158],"repair,":[145],"weaker":[148],"success":[150],"hinges":[151],"exact":[153],"output":[154],"conventions,":[155],"numerical":[156],"thresholds,":[157],"long":[159],"artifact-generation":[160],"pipelines.":[161],"These":[162],"results":[163],"show":[164],"that":[165],"organization":[167],"not":[169],"mere":[170],"presentation:":[171],"can":[173],"change":[174],"search":[177],"apply":[179],"knowledge,":[181],"outcome":[183],"gains":[184],"depend":[185],"whether":[187],"exposed":[189],"are":[191],"actionable":[192],"task.":[195],"Code":[196],"available":[198],"https://github.com/zhiyuchen-ai/skill-juror.":[200]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-12T00:00:00"}