{"id":"https://openalex.org/W7165674583","doi":"https://doi.org/10.48550/arxiv.2606.23654","title":"EnterpriseClawBench: Benchmarking Agents from Real Workplace Sessions","display_name":"EnterpriseClawBench: Benchmarking Agents from Real Workplace Sessions","publication_year":2026,"publication_date":"2026-06-22","ids":{"openalex":"https://openalex.org/W7165674583","doi":"https://doi.org/10.48550/arxiv.2606.23654"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.23654","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.23654","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.2606.23654","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110723262","display_name":"Jincheng Zhong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhong, Jincheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062260595","display_name":"Weizhi Wang","orcid":"https://orcid.org/0000-0002-7310-4068"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Weizhi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100927787","display_name":"Che Jiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiang, Che","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139185528","display_name":"Kai Tian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tian, Kai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079700836","display_name":"Z. Y. Yuan","orcid":"https://orcid.org/0009-0006-5994-1157"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuan, Zhenzhao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101942528","display_name":"Junlin Yang","orcid":"https://orcid.org/0000-0001-5381-169X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Junlin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120403673","display_name":"Dianqiao Lei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lei, Dianqiao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5139132391","display_name":"Kaiyan Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Kaiyan","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":0.04230000078678131,"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":0.04230000078678131,"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/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.03790000081062317,"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"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.03709999844431877,"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/benchmarking","display_name":"Benchmarking","score":0.8826000094413757},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7493000030517578},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.6269999742507935},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.3456000089645386},{"id":"https://openalex.org/keywords/enterprise-architecture","display_name":"Enterprise architecture","score":0.3345000147819519},{"id":"https://openalex.org/keywords/enterprise-software","display_name":"Enterprise software","score":0.3294999897480011}],"concepts":[{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.8826000094413757},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7493000030517578},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6507999897003174},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.6269999742507935},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.47290000319480896},{"id":"https://openalex.org/C195094911","wikidata":"https://www.wikidata.org/wiki/Q14167904","display_name":"Process management","level":1,"score":0.42309999465942383},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.3465999960899353},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3456000089645386},{"id":"https://openalex.org/C10590034","wikidata":"https://www.wikidata.org/wiki/Q1048431","display_name":"Enterprise architecture","level":3,"score":0.3345000147819519},{"id":"https://openalex.org/C185765463","wikidata":"https://www.wikidata.org/wiki/Q1318054","display_name":"Enterprise software","level":2,"score":0.3294999897480011},{"id":"https://openalex.org/C53996427","wikidata":"https://www.wikidata.org/wiki/Q5380387","display_name":"Enterprise integration","level":3,"score":0.32600000500679016},{"id":"https://openalex.org/C184356942","wikidata":"https://www.wikidata.org/wiki/Q830382","display_name":"Best practice","level":2,"score":0.31380000710487366},{"id":"https://openalex.org/C27295321","wikidata":"https://www.wikidata.org/wiki/Q831795","display_name":"Enterprise information system","level":2,"score":0.2962000072002411},{"id":"https://openalex.org/C2777960535","wikidata":"https://www.wikidata.org/wiki/Q131508","display_name":"Enterprise resource planning","level":2,"score":0.28519999980926514},{"id":"https://openalex.org/C67571701","wikidata":"https://www.wikidata.org/wiki/Q1318054","display_name":"Enterprise system","level":2,"score":0.2816999852657318},{"id":"https://openalex.org/C138824270","wikidata":"https://www.wikidata.org/wiki/Q3318162","display_name":"Enterprise modelling","level":4,"score":0.2718000113964081},{"id":"https://openalex.org/C110354214","wikidata":"https://www.wikidata.org/wiki/Q6314146","display_name":"Engineering management","level":1,"score":0.2572999894618988},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.25450000166893005}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.23654","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.23654","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.2606.23654","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.23654","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":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.4305168092250824}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Enterprise":[0],"agents":[1],"increasingly":[2],"operate":[3],"inside":[4],"workspaces:":[5],"they":[6],"read":[7],"heterogeneous":[8],"files,":[9],"invoke":[10],"tools,":[11],"and":[12,56,80,111],"deliver":[13],"business":[14],"artifacts.":[15],"We":[16],"introduce":[17],"EnterpriseClawBench,":[18,84],"an":[19],"enterprise":[20,64,98],"agent":[21,27,99],"benchmark":[22,71],"constructed":[23],"from":[24,30],"proprietary,":[25],"real-world":[26],"sessions.":[28],"Starting":[29],"a":[31,119],"large":[32],"archive":[33],"of":[34],"workplace":[35],"sessions,":[36],"the":[37,60,70,78,85],"EnterpriseClawBench":[38],"produces":[39],"852":[40],"reproducible":[41],"tasks,":[42],"each":[43],"paired":[44],"with":[45,92],"recovered":[46],"fixtures,":[47],"rewritten":[48],"prompts,":[49],"role":[50],"classes,":[51],"skill":[52],"subclasses,":[53],"hard":[54],"rules,":[55],"semantic":[57],"rubrics.":[58],"Because":[59],"sessions":[61],"contain":[62],"internal":[63],"content,":[65],"we":[66],"do":[67],"not":[68],"release":[69],"data;":[72],"instead,":[73],"our":[74],"reusable":[75],"contribution":[76],"is":[77],"construction":[79],"evaluation":[81,100],"protocol.":[82],"On":[83],"best":[86],"configuration":[87],"reaches":[88],"only":[89],"0.663":[90],"(Codex":[91],"GPT-5.5).":[93],"These":[94],"results":[95],"show":[96],"that":[97],"must":[101],"report":[102],"harness--model":[103],"combinations,":[104],"artifact":[105],"delivery,":[106],"visual":[107],"quality,":[108],"cost,":[109],"runtime,":[110],"skill-transfer":[112],"behavior,":[113],"rather":[114],"than":[115],"collapsing":[116],"performance":[117],"into":[118],"single":[120],"score.":[121],"Code:":[122],"https://github.com/FrontisAI/EnterpriseClawBench":[123]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-24T00:00:00"}
