{"id":"https://openalex.org/W7154117394","doi":"https://doi.org/10.48550/arxiv.2604.09155","title":"CORA: Conformal Risk-Controlled Agents for Safeguarded Mobile GUI Automation","display_name":"CORA: Conformal Risk-Controlled Agents for Safeguarded Mobile GUI Automation","publication_year":2026,"publication_date":"2026-04-10","ids":{"openalex":"https://openalex.org/W7154117394","doi":"https://doi.org/10.48550/arxiv.2604.09155"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.09155","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.09155","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.2604.09155","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133547480","display_name":"Yushi Feng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feng, Yushi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009276209","display_name":"Junye Du","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Du, Junye","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133509409","display_name":"Qifan Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Qifan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127429416","display_name":"Zizhan Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Zizhan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133521641","display_name":"Qian Niu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Niu, Qian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133482310","display_name":"Yutaka Matsuo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Matsuo, Yutaka","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054122438","display_name":"Long Feng","orcid":"https://orcid.org/0000-0003-0473-2500"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feng, Long","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133547528","display_name":"Lequan Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Lequan","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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.39500001072883606,"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"}},"topics":[{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.39500001072883606,"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":0.08550000190734863,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.07819999754428864,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.4629000127315521},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.42559999227523804},{"id":"https://openalex.org/keywords/graphical-user-interface","display_name":"Graphical user interface","score":0.39730000495910645},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.36629998683929443},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.3537999987602234},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.334199994802475},{"id":"https://openalex.org/keywords/usability","display_name":"Usability","score":0.3296000063419342},{"id":"https://openalex.org/keywords/user-interface","display_name":"User interface","score":0.32359999418258667}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7002000212669373},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4875999987125397},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.4629000127315521},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.42559999227523804},{"id":"https://openalex.org/C37789001","wikidata":"https://www.wikidata.org/wiki/Q782543","display_name":"Graphical user interface","level":2,"score":0.39730000495910645},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3799000084400177},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36719998717308044},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.36629998683929443},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.3537999987602234},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.334199994802475},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.3296000063419342},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.32359999418258667},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.31700000166893005},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30660000443458557},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.289000004529953},{"id":"https://openalex.org/C160145156","wikidata":"https://www.wikidata.org/wiki/Q778586","display_name":"Executable","level":2,"score":0.2806999981403351},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.28060001134872437},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.2766999900341034},{"id":"https://openalex.org/C2777363581","wikidata":"https://www.wikidata.org/wiki/Q15098235","display_name":"Harm","level":2,"score":0.2766999900341034},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.272599995136261},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.26910001039505005},{"id":"https://openalex.org/C2776303644","wikidata":"https://www.wikidata.org/wiki/Q1020499","display_name":"Interfacing","level":2,"score":0.2662000060081482},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.26190000772476196}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.09155","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.09155","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.2604.09155","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.09155","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":0.8134898543357849,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Graphical":[0],"user":[1,139,150],"interface":[2],"(GUI)":[3],"agents":[4],"powered":[5],"by":[6],"vision":[7],"language":[8],"models":[9],"(VLMs)":[10],"are":[11,210],"rapidly":[12],"moving":[13],"from":[14],"passive":[15],"assistance":[16],"to":[17,27,84,102,117,129,137,146,152],"autonomous":[18,204],"operation.":[19],"However,":[20],"this":[21,160],"unrestricted":[22],"action":[23,77],"space":[24],"exposes":[25],"users":[26],"severe":[28],"and":[29,44,49,113,182,208],"irreversible":[30],"financial,":[31],"privacy":[32],"or":[33,135],"social":[34],"harm.":[35],"Existing":[36],"safeguards":[37],"rely":[38],"on":[39,68,180],"prompt":[40],"engineering,":[41],"brittle":[42],"heuristics":[43],"VLM-as-critic":[45],"lack":[46],"formal":[47],"verification":[48],"user-tunable":[50],"guarantees.":[51],"We":[52],"propose":[53],"CORA":[54,72,190],"(COnformal":[55],"Risk-controlled":[56],"GUI":[57,205],"Agent),":[58],"a":[59,81,109,118,147,165,197],"post-policy,":[60],"pre-action":[61],"safeguarding":[62],"framework":[63],"that":[64,107,189],"provides":[65],"statistical":[66],"guarantees":[67],"harmful":[69],"executed":[70],"actions.":[71],"reformulates":[73],"safety":[74,170,201],"as":[75],"selective":[76],"execution:":[78],"we":[79,97,162],"train":[80],"Guardian":[82],"model":[83],"estimate":[85],"action-conditional":[86],"risk":[87,111],"for":[88,203],"each":[89],"proposed":[90],"step.":[91],"Rather":[92],"than":[93],"thresholding":[94],"raw":[95],"scores,":[96],"leverage":[98],"Conformal":[99],"Risk":[100],"Control":[101],"calibrate":[103],"an":[104],"execute/abstain":[105],"boundary":[106],"satisfies":[108],"user-specified":[110],"budget":[112],"route":[114],"rejected":[115,127],"actions":[116,128],"trainable":[119],"Diagnostician":[120],"model,":[121],"which":[122],"performs":[123],"multimodal":[124],"reasoning":[125],"over":[126],"recommend":[130],"interventions":[131],"(e.g.,":[132],"confirm,":[133],"reflect,":[134],"abort)":[136],"minimize":[138],"burden.":[140],"A":[141],"Goal-Lock":[142],"mechanism":[143],"anchors":[144],"assessment":[145],"clarified,":[148],"frozen":[149],"intent":[151],"resist":[153],"visual":[154],"injection":[155],"attacks.":[156],"To":[157],"rigorously":[158],"evaluate":[159],"paradigm,":[161],"introduce":[163],"Phone-Harm,":[164],"new":[166],"benchmark":[167,209],"of":[168],"mobile":[169],"violations":[171],"with":[172],"step-level":[173],"harm":[174],"labels":[175],"under":[176],"real-world":[177],"settings.":[178],"Experiments":[179],"Phone-Harm":[181],"public":[183],"benchmarks":[184],"against":[185],"diverse":[186],"baselines":[187],"validate":[188],"improves":[191],"the":[192],"safety--helpfulness--interruption":[193],"Pareto":[194],"frontier,":[195],"offering":[196],"practical,":[198],"statistically":[199],"grounded":[200],"paradigm":[202],"execution.":[206],"Code":[207],"available":[211],"at":[212],"cora-agent.github.io.":[213]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-14T00:00:00"}
