{"id":"https://openalex.org/W7208838388","doi":"https://doi.org/10.5281/zenodo.22361847","title":"Bounded Adaptation V2 and V2.1: Calibration, Confirmation, Activation, and Transition-Entry Carryover Evidence","display_name":"Bounded Adaptation V2 and V2.1: Calibration, Confirmation, Activation, and Transition-Entry Carryover Evidence","publication_year":2026,"publication_date":"2026-09-02","ids":{"openalex":"https://openalex.org/W7208838388","doi":"https://doi.org/10.5281/zenodo.22361847"},"language":"enc","primary_location":{"id":"doi:10.5281/zenodo.22361847","doi":"https://doi.org/10.5281/zenodo.22361847","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22361847","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"Dataset"},"volume":null,"type":"dataset","is_traditional":false,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.22361847","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5150162875","display_name":"Mih\u00e1ly Szab\u00f3","orcid":"https://orcid.org/0009-0002-2338-0192","observed_orcids":["https://orcid.org/0009-0002-2338-0192"]},"institutions":[{"id":"https://openalex.org/I103356709","display_name":"Obuda University","ror":"https://ror.org/00ax71d21","country_code":"HU","type":"education","lineage":["https://openalex.org/I103356709"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Szab\u00f3, Mih\u00e1ly","raw_affiliation_strings":["Obuda University"],"raw_orcid":"https://orcid.org/0009-0002-2338-0192","affiliations":[{"raw_affiliation_string":"Obuda University","institution_ids":["https://openalex.org/I103356709"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007611122","display_name":"Attila K\u0151v\u00e1ri","orcid":"https://orcid.org/0000-0003-3521-4757","observed_orcids":["https://orcid.org/0000-0003-3521-4757"]},"institutions":[{"id":"https://openalex.org/I103356709","display_name":"Obuda University","ror":"https://ror.org/00ax71d21","country_code":"HU","type":"education","lineage":["https://openalex.org/I103356709"]},{"id":"https://openalex.org/I120832542","display_name":"Eszterhazy Karoly Catholic University","ror":"https://ror.org/004gfgx38","country_code":"HU","type":"education","lineage":["https://openalex.org/I120832542"]},{"id":"https://openalex.org/I96221595","display_name":"University of Duna\u00fajv\u00e1ros","ror":"https://ror.org/05x0g9h76","country_code":"HU","type":"education","lineage":["https://openalex.org/I96221595"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Kovari, Attila","raw_affiliation_strings":["Obuda University","Eszterhazy Karoly Catholic University","University of Dunaujvaros"],"raw_orcid":"https://orcid.org/0000-0003-3521-4757","affiliations":[{"raw_affiliation_string":"Obuda University","institution_ids":["https://openalex.org/I103356709"]},{"raw_affiliation_string":"Eszterhazy Karoly Catholic University","institution_ids":["https://openalex.org/I120832542"]},{"raw_affiliation_string":"University of Dunaujvaros","institution_ids":["https://openalex.org/I96221595"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084426852","display_name":"G\u00e1bor Kert\u00e9sz","orcid":"https://orcid.org/0000-0002-8845-8301","observed_orcids":["https://orcid.org/0000-0002-8845-8301"]},"institutions":[{"id":"https://openalex.org/I103356709","display_name":"Obuda University","ror":"https://ror.org/00ax71d21","country_code":"HU","type":"education","lineage":["https://openalex.org/I103356709"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Kert\u00e9sz, G\u00e1bor","raw_affiliation_strings":["Obuda University"],"raw_orcid":"https://orcid.org/0000-0002-8845-8301","affiliations":[{"raw_affiliation_string":"Obuda University","institution_ids":["https://openalex.org/I103356709"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.3513000011444092,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.3513000011444092,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.13289999961853027,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.1168999969959259,"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/parameter-selection","display_name":"parameter selection","score":0.3070000112056732},{"id":"https://openalex.org/keywords/reproducibility","display_name":"reproducibility","score":0.6880000233650208},{"id":"https://openalex.org/keywords/synthetic-images","display_name":"synthetic images","score":0.36899998784065247}],"concepts":[{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.4952000081539154},{"id":"https://openalex.org/C45340560","wikidata":"https://www.wikidata.org/wiki/Q215382","display_name":"Disjoint sets","level":2,"score":0.48030000925064087},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4542999863624573},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4372999966144562},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.41119998693466187},{"id":"https://openalex.org/C2777363581","wikidata":"https://www.wikidata.org/wiki/Q15098235","display_name":"Harm","level":2,"score":0.41029998660087585},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38260000944137573},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.3662000000476837},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3594000041484833},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3521000146865845},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.3352999985218048},{"id":"https://openalex.org/C40422974","wikidata":"https://www.wikidata.org/wiki/Q741248","display_name":"Assertion","level":2,"score":0.33239999413490295},{"id":"https://openalex.org/C178300618","wikidata":"https://www.wikidata.org/wiki/Q1898509","display_name":"Extant taxon","level":2,"score":0.3303000032901764},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.2989000082015991},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.29600000381469727},{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.2915000021457672},{"id":"https://openalex.org/C154504017","wikidata":"https://www.wikidata.org/wiki/Q853614","display_name":"Identifier","level":2,"score":0.2897000014781952},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.2770000100135803},{"id":"https://openalex.org/C193244246","wikidata":"https://www.wikidata.org/wiki/Q5432696","display_name":"False discovery rate","level":3,"score":0.2766999900341034},{"id":"https://openalex.org/C22927095","wikidata":"https://www.wikidata.org/wiki/Q1784206","display_name":"Stateful firewall","level":3,"score":0.2750000059604645},{"id":"https://openalex.org/C2780310539","wikidata":"https://www.wikidata.org/wiki/Q12547192","display_name":"Imperfect","level":2,"score":0.27160000801086426},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.26420000195503235},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.263700008392334},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.260699987411499},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.2603999972343445},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.25760000944137573}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.22361847","doi":"https://doi.org/10.5281/zenodo.22361847","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22361847","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"Dataset"},{"id":"doi:10.5281/zenodo.22361848","doi":"https://doi.org/10.5281/zenodo.22361848","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22361848","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"Dataset"}],"best_oa_location":{"id":"doi:10.5281/zenodo.22361847","doi":"https://doi.org/10.5281/zenodo.22361847","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22361847","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"Dataset"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7213446346","https://openalex.org/W7219849496","https://openalex.org/W7165649857","https://openalex.org/W7165482972","https://openalex.org/W7204717641","https://openalex.org/W7135553542","https://openalex.org/W6889895666","https://openalex.org/W7096846329","https://openalex.org/W7211964497","https://openalex.org/W2489906482"],"abstract_inverted_index":{"This":[0],"dataset":[1],"provides":[2],"the":[3,10,50,111],"frozen":[4,94,102,156],"evidence":[5,30,170],"and":[6,48,93,106,119,126,142,165,176,192],"reproducibility":[7],"materials":[8],"underlying":[9],"study":[11],"\u201cWhen":[12],"Reactive":[13],"Gates":[14],"Are":[15],"Too":[16],"Late:":[17],"Transition-Entry":[18],"Carryover":[19],"Harm":[20],"in":[21,77,133,143],"Stateful":[22],"Computer-Vision":[23],"Adaptation.\u201d":[24],"It":[25,115],"contains":[26],"three":[27,169],"chronologically":[28],"distinct":[29],"layers":[31,171],"for":[32],"a":[33,41,86,182],"deterministic":[34],"multi-stage":[35],"segmentation-OCR":[36],"pipeline.":[37],"V2":[38,67,81,104,113],"calibration":[39],"evaluated":[40],"prespecified":[42],"25-value":[43],"grid":[44],"across":[45,122],"3,000":[46],"runs":[47],"selected":[49],"largest":[51],"empirically":[52],"admissible":[53],"tested":[54],"radius,":[55],"$\\delta_W=12.0$,":[56],"with":[57],"zero":[58],"harmful":[59],"trajectories":[60,72,125,135],"among":[61],"84":[62],"informative":[63],"trajectories.":[64],"The":[65,153,168],"subsequent":[66],"confirmation":[68,82,105,166],"used":[69],"five":[70],"disjoint":[71],"that":[73],"were":[74],"not":[75,108,178],"involved":[76],"parameter":[78],"selection.":[79],"After":[80],"had":[83],"been":[84],"completed,":[85],"separate":[87,175],"V2.1":[88,99],"targeted":[89],"challenge":[90],"was":[91,100],"designed":[92],"before":[95],"its":[96],"own":[97],"execution.":[98],"therefore":[101],"after":[103],"is":[107],"part":[109],"of":[110],"original":[112],"preregistration.":[114],"examined":[116],"mechanism":[117],"activation":[118],"transition-entry":[120],"carryover":[121],"18":[123],"independent":[124],"155":[127],"state":[128],"changes.":[129],"Transition-entry":[130],"harm":[131],"occurred":[132],"9/12":[134],"containing":[136],"an":[137,147],"entry":[138,148],"into":[139],"broken-character":[140],"drift":[141],"0/6":[144],"without":[145],"such":[146],"(two-sided":[149],"Fisher":[150],"exact":[151],"$p=0.0090$).":[152],"deposit":[154],"includes":[155],"archives,":[157],"input":[158],"locks,":[159],"configuration":[160],"records,":[161],"audit":[162],"materials,":[163],"manifests,":[164],"evidence.":[167],"must":[172,177],"remain":[173],"analytically":[174],"be":[179],"interpreted":[180],"as":[181],"single":[183],"preregistered":[184],"experiment.":[185],"All":[186],"experimental":[187],"image":[188],"inputs":[189],"are":[190],"synthetic":[191],"contain":[193],"no":[194],"real":[195],"vehicle":[196],"identifiers":[197],"or":[198],"personal":[199],"data.":[200]},"counts_by_year":[],"updated_date":"2026-10-08T09:06:37.294493","created_date":"2026-09-06T00:00:00"}