{"id":"https://openalex.org/W7155036694","doi":"https://doi.org/10.48550/arxiv.2604.18543","title":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","display_name":"ClawEnvKit: Automatic Environment Generation for Claw-Like Agents","publication_year":2026,"publication_date":"2026-04-20","ids":{"openalex":"https://openalex.org/W7155036694","doi":"https://doi.org/10.48550/arxiv.2604.18543"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.18543","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.18543","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.2604.18543","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134136777","display_name":"Xirui Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Xirui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068624653","display_name":"Ming Li","orcid":"https://orcid.org/0000-0003-4119-7340"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Ming","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134208333","display_name":"Ion Stoica","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stoica, Ion","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134199786","display_name":"Cho-Jui Hsieh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hsieh, Cho-Jui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5142811325","display_name":"Tianyi Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Tianyi","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":0.08579999953508377,"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":0.08579999953508377,"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/T10028","display_name":"Topic Modeling","score":0.08479999750852585,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.07800000160932541,"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/pipeline","display_name":"Pipeline (software)","score":0.6514999866485596},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.5213000178337097},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4812000095844269},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.46779999136924744},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.41600000858306885},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.3952000141143799},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.38190001249313354},{"id":"https://openalex.org/keywords/graphical-user-interface","display_name":"Graphical user interface","score":0.3630000054836273},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.35190001130104065}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8011999726295471},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6514999866485596},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.5213000178337097},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4812000095844269},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.46779999136924744},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4212000072002411},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.41600000858306885},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.3952000141143799},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.38190001249313354},{"id":"https://openalex.org/C37789001","wikidata":"https://www.wikidata.org/wiki/Q782543","display_name":"Graphical user interface","level":2,"score":0.3630000054836273},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.35190001130104065},{"id":"https://openalex.org/C2776543023","wikidata":"https://www.wikidata.org/wiki/Q2147046","display_name":"Rework","level":2,"score":0.335999995470047},{"id":"https://openalex.org/C35292069","wikidata":"https://www.wikidata.org/wiki/Q1575458","display_name":"Validator","level":2,"score":0.33570000529289246},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.33309999108314514},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.32679998874664307},{"id":"https://openalex.org/C2777146004","wikidata":"https://www.wikidata.org/wiki/Q14949826","display_name":"CLARITY","level":2,"score":0.32659998536109924},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.30979999899864197},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.3073999881744385},{"id":"https://openalex.org/C2776187449","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Natural language generation","level":3,"score":0.2919999957084656},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2863999903202057},{"id":"https://openalex.org/C73301696","wikidata":"https://www.wikidata.org/wiki/Q5469984","display_name":"Formalism (music)","level":3,"score":0.2773999869823456},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.2680000066757202},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26499998569488525},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.2648000121116638},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.26330000162124634},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.2554999887943268},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.2542000114917755}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.18543","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.18543","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.2604.18543","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.18543","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Constructing":[0],"environments":[1,37,119,129],"for":[2,114],"training":[3,225],"and":[4,85,88,98,132,143,179,204],"evaluating":[5],"claw-like":[6,115],"agents":[7],"remains":[8,167],"a":[9,26,64,76,90,162,185,198,206,214],"manual,":[10],"human-intensive":[11],"process":[12],"that":[13,19,50,66,78,92,150,231],"does":[14],"not":[15,24],"scale.":[16],"We":[17],"argue":[18],"what":[20],"is":[21,23],"needed":[22],"just":[25],"dataset,":[27],"but":[28],"an":[29,46,223,234],"automated":[30,180],"pipeline":[31,49,59],"capable":[32],"of":[33,171],"generating":[34],"diverse,":[35],"verified":[36,207],"on":[38,130,209],"demand.":[39],"To":[40],"this":[41,52],"end,":[42],"we":[43,107,148],"introduce":[44],"ClawEnvKit,":[45,106],"autonomous":[47],"generation":[48,69,181],"instantiates":[51],"formalism":[53],"from":[54,71],"natural":[55,72,202],"language":[56,73,203],"descriptions.":[57],"The":[58,218],"comprises":[60],"three":[61],"modules:":[62],"(1)":[63],"parser":[65],"extracts":[67],"structured":[68],"parameters":[70],"input;":[74],"(2)":[75],"generator":[77],"produces":[79],"the":[80,102,110,168,177],"task":[81,229],"specification,":[82],"tool":[83],"interface,":[84],"scoring":[86],"configuration;":[87],"(3)":[89],"validator":[91],"enforces":[93],"feasibility,":[94],"diversity,":[95],"structural":[96],"validity,":[97],"internal":[99],"consistency":[100],"across":[101,120,139],"generated":[103],"environments.":[104],"Using":[105],"construct":[108],"Auto-ClawEval,":[109],"first":[111],"large-scale":[112],"benchmark":[113],"agents,":[116],"comprising":[117],"1,040":[118],"24":[121],"categories.":[122],"Empirically,":[123],"Auto-ClawEval":[124],"matches":[125],"or":[126],"exceeds":[127],"human-curated":[128],"coherence":[131],"clarity":[133],"at":[134,184],"13,800x":[135],"lower":[136],"cost.":[137],"Evaluated":[138],"4":[140],"model":[141,175],"families":[142],"8":[144],"agent":[145],"harness":[146,151],"frameworks,":[147],"find":[149],"engineering":[152],"boosts":[153],"performance":[154],"by":[155,242],"up":[156],"to":[157,233],"15.7":[158],"percentage":[159],"points":[160],"over":[161],"bare":[163],"ReAct":[164],"baseline,":[165],"completion":[166],"primary":[169],"axis":[170],"variation":[172],"with":[173],"no":[174],"saturating":[176],"benchmark,":[178],"enables":[182,193],"evaluation":[183,212],"scale":[186],"previously":[187],"infeasible.":[188],"Beyond":[189],"static":[190],"benchmarking,":[191],"ClawEnvKit":[192],"live":[194],"evaluation:":[195],"users":[196],"describe":[197],"desired":[199],"capability":[200],"in":[201],"obtain":[205],"environment":[208,226],"demand,":[210],"turning":[211],"into":[213],"continuous,":[215],"user-driven":[216],"process.":[217],"same":[219],"mechanism":[220],"serves":[221],"as":[222],"on-demand":[224],"generator,":[227],"producing":[228],"distributions":[230],"adapt":[232],"agent's":[235],"current":[236],"weaknesses":[237],"rather":[238],"than":[239],"being":[240],"bounded":[241],"existing":[243],"user":[244],"logs.":[245]},"counts_by_year":[],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2026-04-22T00:00:00"}
