{"id":"https://openalex.org/W7208712465","doi":"https://doi.org/10.48550/arxiv.2609.03686","title":"Resolution-Aware Experimental Design under Partial Identifiability","display_name":"Resolution-Aware Experimental Design under Partial Identifiability","publication_year":2026,"publication_date":"2026-09-03","ids":{"openalex":"https://openalex.org/W7208712465","doi":"https://doi.org/10.48550/arxiv.2609.03686"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2609.03686","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.03686","pdf_url":"https://arxiv.org/pdf/2609.03686","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2609.03686","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028361116","display_name":"Sofianos Panagiotis Fotias","orcid":"https://orcid.org/0009-0005-4810-8314","observed_orcids":["https://orcid.org/0009-0005-4810-8314"]},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Fotias, Sofianos Panagiotis","raw_affiliation_strings":["National Technical University of Athens"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Technical University of Athens","institution_ids":["https://openalex.org/I174458059"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5028361116"],"corresponding_institution_ids":["https://openalex.org/I174458059"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.0020000000949949026,"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/T11236","display_name":"Control Systems and Identification","score":0.0015999999595806003,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/experimental-design","display_name":"experimental design","score":0.7319999933242798},{"id":"https://openalex.org/keywords/structural-resolution","display_name":"structural resolution","score":0.703000009059906},{"id":"https://openalex.org/keywords/false-exclusion","display_name":"false exclusion","score":0.593999981880188},{"id":"https://openalex.org/keywords/information-gain","display_name":"information gain","score":0.6840000152587891},{"id":"https://openalex.org/keywords/sample-complexity","display_name":"sample complexity","score":0.8330000042915344},{"id":"https://openalex.org/keywords/subsurface-flow","display_name":"subsurface flow","score":0.8700000047683716},{"id":"https://openalex.org/keywords/methane-oxidation","display_name":"methane oxidation","score":0.7620000243186951},{"id":"https://openalex.org/keywords/fluvial-hydrology","display_name":"fluvial hydrology","score":0.7210000157356262}],"concepts":[{"id":"https://openalex.org/C122770356","wikidata":"https://www.wikidata.org/wiki/Q1656753","display_name":"Identifiability","level":2,"score":0.904699981212616},{"id":"https://openalex.org/C4069607","wikidata":"https://www.wikidata.org/wiki/Q868732","display_name":"Aliasing","level":3,"score":0.6255999803543091},{"id":"https://openalex.org/C194531419","wikidata":"https://www.wikidata.org/wiki/Q17104825","display_name":"Nuisance parameter","level":3,"score":0.5960000157356262},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5410000085830688},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5055999755859375},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.49790000915527344},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.49559998512268066},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4657000005245209},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43779999017715454},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38530001044273376},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.3763999938964844},{"id":"https://openalex.org/C143380155","wikidata":"https://www.wikidata.org/wiki/Q5160088","display_name":"Confidence region","level":3,"score":0.36550000309944153},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.36329999566078186},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.3427000045776367},{"id":"https://openalex.org/C18653775","wikidata":"https://www.wikidata.org/wiki/Q1333358","display_name":"Joint probability distribution","level":2,"score":0.3098999857902527},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3093999922275543},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.30790001153945923},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.30250000953674316},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3018999993801117},{"id":"https://openalex.org/C34559072","wikidata":"https://www.wikidata.org/wiki/Q2334061","display_name":"Design of experiments","level":2,"score":0.3012000024318695},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.2964000105857849},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.2946000099182129},{"id":"https://openalex.org/C186394612","wikidata":"https://www.wikidata.org/wiki/Q7098942","display_name":"Optimal design","level":2,"score":0.2922999858856201},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.29190000891685486},{"id":"https://openalex.org/C2779244815","wikidata":"https://www.wikidata.org/wiki/Q1156462","display_name":"Nuisance","level":2,"score":0.2702000141143799},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.26919999718666077},{"id":"https://openalex.org/C2985420695","wikidata":"https://www.wikidata.org/wiki/Q175199","display_name":"Population variance","level":3,"score":0.267300009727478},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.26249998807907104},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.25}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2609.03686","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.03686","pdf_url":"https://arxiv.org/pdf/2609.03686","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2609.03686","doi":"https://doi.org/10.48550/arxiv.2609.03686","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2609.03686","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2609.03686","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.03686","pdf_url":"https://arxiv.org/pdf/2609.03686","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7208712465.pdf","grobid_xml":"https://content.openalex.org/works/W7208712465.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4413168730","https://openalex.org/W7213252957","https://openalex.org/W4388346662","https://openalex.org/W2995111500","https://openalex.org/W2526017453","https://openalex.org/W2977858920","https://openalex.org/W7130432678","https://openalex.org/W3014414909","https://openalex.org/W7212068124","https://openalex.org/W7134110569"],"abstract_inverted_index":{"Experimental":[0,34],"design":[1],"is":[2],"commonly":[3],"framed":[4],"as":[5],"choosing":[6],"the":[7,12,24,42,87,132,148],"experiment":[8,40,62,151],"expected":[9,44,88],"to":[10,51],"provide":[11],"most":[13],"information.":[14],"Under":[15,119],"partial":[16],"identifiability":[17],"however,":[18],"persistent":[19],"nuisance":[20,181],"uncertainty":[21],"can":[22,63],"make":[23,97],"same":[25],"observation":[26],"carry":[27],"different":[28],"structural":[29,46,67,82,190],"meanings.":[30],"We":[31,54],"introduce":[32],"Resolution-Aware":[33],"Design":[35],"(RAED),":[36],"which":[37],"selects":[38],"an":[39,56,61],"by":[41,66],"smallest":[43],"nonempty":[45],"candidate":[47],"set":[48],"achievable":[49],"subject":[50],"false-exclusion":[52,170],"control.":[53],"prove":[55],"exact":[57],"cross-nuisance":[58],"aliasing":[59],"separation:":[60],"be":[64],"preferred":[65],"and":[68,74,110,113,134,152],"full-latent":[69],"information":[70],"gain,":[71],"average":[72],"classification,":[73],"nuisance-marginalized":[75],"informativeness":[76],"while":[77],"having":[78],"arbitrarily":[79],"poorer":[80],"valid":[81],"resolution.":[83],"RAED":[84],"nevertheless":[85],"preserves":[86],"ordering":[89],"under":[90],"a":[91,103,115,142,162,166,174],"genuine":[92,126],"composite":[93],"Blackwell":[94],"comparison.":[95],"To":[96],"this":[98],"criterion":[99],"operational,":[100],"we":[101],"develop":[102],"learned":[104],"score-based":[105],"implementation":[106],"with":[107,131,158,183],"finite-sample":[108,176],"nuisance-average":[109],"positive-tail":[111],"calibration,":[112],"characterize":[114],"rare-tail":[116],"sample-complexity":[117],"obstruction.":[118],"constrained":[120],"sensing,":[121],"two":[122],"subsurface-flow":[123],"benchmarks":[124],"exhibit":[125],"RAED--expected-information-gain":[127],"(EIG)":[128],"experiment-selection":[129],"disagreements,":[130],"clearest":[133],"largest":[135],"held-out":[136],"resolution":[137],"differences":[138],"in":[139],"WCA.":[140],"In":[141,161],"fluvial":[143],"benchmark,":[144,165],"tail":[145],"protection":[146],"changes":[147],"selected":[149],"physical":[150],"replaces":[153],"hard-region":[154],"false":[155],"exclusions":[156],"primarily":[157],"explicit":[159],"ambiguity.":[160],"mechanistic":[163],"methane-oxidation":[164],"prospectively":[167],"specified":[168],"5\\%":[169],"tolerance":[171],"also":[172],"yields":[173],"nontrivial":[175],"population":[177],"guarantee":[178],"for":[179],"tail-sensitive":[180],"risk,":[182],"95\\%":[184],"joint":[185],"confidence":[186],"across":[187],"all":[188],"three":[189],"families.":[191]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-09-05T00:00:00"}