{"id":"https://openalex.org/W7143530028","doi":"https://doi.org/10.48550/arxiv.2603.25803","title":"Do All Vision Transformers Need Registers? A Cross-Architectural Reassessment","display_name":"Do All Vision Transformers Need Registers? A Cross-Architectural Reassessment","publication_year":2026,"publication_date":"2026-03-26","ids":{"openalex":"https://openalex.org/W7143530028","doi":"https://doi.org/10.48550/arxiv.2603.25803"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.25803","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.25803","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.2603.25803","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054014305","display_name":"Spiros Baxevanakis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Baxevanakis, Spiros","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130994563","display_name":"Platon Karageorgis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Karageorgis, Platon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092711674","display_name":"Ioannis Dravilas","orcid":"https://orcid.org/0009-0009-3859-2412"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dravilas, Ioannis","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5130967069","display_name":"Konrad Szewczyk","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Szewczyk, Konrad","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":0.10220000147819519,"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":0.10220000147819519,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.06939999759197235,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.059700001031160355,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/terminology","display_name":"Terminology","score":0.8166999816894531},{"id":"https://openalex.org/keywords/clarity","display_name":"CLARITY","score":0.795199990272522},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.7771999835968018},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.54830002784729},{"id":"https://openalex.org/keywords/phenomenon","display_name":"Phenomenon","score":0.49459999799728394}],"concepts":[{"id":"https://openalex.org/C547195049","wikidata":"https://www.wikidata.org/wiki/Q1725664","display_name":"Terminology","level":2,"score":0.8166999816894531},{"id":"https://openalex.org/C2777146004","wikidata":"https://www.wikidata.org/wiki/Q14949826","display_name":"CLARITY","level":2,"score":0.795199990272522},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.7771999835968018},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5616000294685364},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.54830002784729},{"id":"https://openalex.org/C50335755","wikidata":"https://www.wikidata.org/wiki/Q483247","display_name":"Phenomenon","level":2,"score":0.49459999799728394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3928000032901764},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3749000132083893},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3506999909877777},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2736000120639801},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.25690001249313354},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.25619998574256897},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.2524000108242035}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.25803","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.25803","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.2603.25803","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.25803","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Training":[0],"Vision":[1],"Transformers":[2],"(ViTs)":[3],"presents":[4],"significant":[5],"challenges,":[6],"one":[7],"of":[8,13,34,52,66,76,85,102,104,126,155],"which":[9,58],"is":[10],"the":[11,32,41,50,64,74,83,100,124,142],"emergence":[12],"artifacts":[14,61],"in":[15,141],"attention":[16,67],"maps,":[17],"hindering":[18],"their":[19,86,105,130,147],"interpretability.":[20],"Darcet":[21,77],"et":[22,78],"al.":[23,79],"(2024)":[24,80],"investigated":[25],"this":[26,70],"phenomenon":[27],"and":[28,62,81,95,145],"attributed":[29],"it":[30],"to":[31,36,118,132,151],"need":[33],"ViTs":[35],"store":[37],"global":[38],"information":[39],"beyond":[40],"[CLS]":[42],"token.":[43],"They":[44],"proposed":[45],"a":[46,152],"novel":[47],"solution":[48],"involving":[49],"addition":[51],"empty":[53],"input":[54],"tokens,":[55],"named":[56],"registers,":[57],"successfully":[59],"eliminate":[60],"improve":[63],"clarity":[65],"maps.":[68],"In":[69],"work,":[71],"we":[72,98,122,136],"reproduce":[73],"findings":[75,131],"evaluate":[82],"generalizability":[84],"claims":[87,113],"across":[88],"multiple":[89],"models,":[90],"including":[91],"DINO,":[92],"DINOv2,":[93],"OpenCLIP,":[94],"DeiT3.":[96],"While":[97],"confirm":[99],"validity":[101],"several":[103],"key":[106],"claims,":[107],"our":[108],"results":[109],"reveal":[110],"that":[111],"some":[112],"do":[114],"not":[115],"extend":[116],"universally":[117],"other":[119],"models.":[120,134,156],"Additionally,":[121],"explore":[123],"impact":[125,148],"model":[127],"size,":[128],"extending":[129],"smaller":[133],"Finally,":[135],"untie":[137],"terminology":[138],"inconsistencies":[139],"found":[140],"original":[143],"paper":[144],"explain":[146],"when":[149],"generalizing":[150],"wider":[153],"range":[154]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-31T00:00:00"}