{"id":"https://openalex.org/W7225453372","doi":"https://doi.org/10.5281/zenodo.24038580","title":"Pre-Krasner III (v14.2 Zero-Patch Standard): Autonomous HMM/Viterbi Block Decompression, Information-Theoretic Validation, and Multi-Analytical Audit of Beinecke MS 408","display_name":"Pre-Krasner III (v14.2 Zero-Patch Standard): Autonomous HMM/Viterbi Block Decompression, Information-Theoretic Validation, and Multi-Analytical Audit of Beinecke MS 408","publication_year":2026,"publication_date":"2026-11-07","ids":{"openalex":"https://openalex.org/W7225453372","doi":"https://doi.org/10.5281/zenodo.24038580"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.24038580","doi":"https://doi.org/10.5281/zenodo.24038580","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24038580","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":"Preprint"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.24038580","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5148152745","display_name":"Igor Krasner","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Krasner, Igor","raw_affiliation_strings":["Independent Researcher"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Independent Researcher","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5148152745"],"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/T12377","display_name":"Digital Humanities and Scholarship","score":0.3743000030517578,"subfield":{"id":"https://openalex.org/subfields/1208","display_name":"Literature and Literary Theory"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12377","display_name":"Digital Humanities and Scholarship","score":0.3743000030517578,"subfield":{"id":"https://openalex.org/subfields/1208","display_name":"Literature and Literary Theory"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.060600001364946365,"subfield":{"id":"https://openalex.org/subfields/2614","display_name":"Theoretical Computer Science"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12380","display_name":"Authorship Attribution and Profiling","score":0.04690000042319298,"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/voynich-manuscript","display_name":"Voynich Manuscript","score":0.9509999752044678},{"id":"https://openalex.org/keywords/beinecke-ms-408","display_name":"Beinecke MS 408","score":0.9860000014305115},{"id":"https://openalex.org/keywords/hidden-markov-models","display_name":"hidden Markov models","score":0.7149999737739563},{"id":"https://openalex.org/keywords/viterbi-decoding","display_name":"Viterbi decoding","score":0.9419999718666077},{"id":"https://openalex.org/keywords/conditional-entropy","display_name":"conditional entropy","score":0.7879999876022339},{"id":"https://openalex.org/keywords/archaeometric-analysis","display_name":"archaeometric analysis","score":0.4259999990463257},{"id":"https://openalex.org/keywords/micro-raman-spectroscopy","display_name":"micro-Raman spectroscopy","score":0.921999990940094},{"id":"https://openalex.org/keywords/ftir-spectroscopy","display_name":"FTIR spectroscopy","score":0.8560000061988831},{"id":"https://openalex.org/keywords/medieval-latin-medical-texts","display_name":"medieval Latin medical texts","score":0.46700000762939453}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6565999984741211},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4271000027656555},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.40470001101493835},{"id":"https://openalex.org/C12590798","wikidata":"https://www.wikidata.org/wiki/Q3933199","display_name":"Replication (statistics)","level":2,"score":0.40230000019073486},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.3977000117301941},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3935999870300293},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.38420000672340393},{"id":"https://openalex.org/C199521495","wikidata":"https://www.wikidata.org/wiki/Q181487","display_name":"Audit","level":2,"score":0.37700000405311584},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.365200012922287},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.361299991607666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3481000065803528},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.34630000591278076},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.31290000677108765},{"id":"https://openalex.org/C2778701210","wikidata":"https://www.wikidata.org/wiki/Q28130034","display_name":"Constructive","level":3,"score":0.2994999885559082},{"id":"https://openalex.org/C43364308","wikidata":"https://www.wikidata.org/wiki/Q8799","display_name":"Byte","level":2,"score":0.29490000009536743},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.289000004529953},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.28369998931884766},{"id":"https://openalex.org/C170748874","wikidata":"https://www.wikidata.org/wiki/Q21117977","display_name":"Proofreading","level":4,"score":0.2831000089645386},{"id":"https://openalex.org/C56666940","wikidata":"https://www.wikidata.org/wiki/Q788790","display_name":"Documentation","level":2,"score":0.2757999897003174},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27570000290870667},{"id":"https://openalex.org/C71901391","wikidata":"https://www.wikidata.org/wiki/Q7126699","display_name":"Upload","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.27480000257492065},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.26440000534057617},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.2581999897956848},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.2540999948978424},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.25119999051094055}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.24038580","doi":"https://doi.org/10.5281/zenodo.24038580","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24038580","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":"Preprint"},{"id":"doi:10.5281/zenodo.24038581","doi":"https://doi.org/10.5281/zenodo.24038581","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24038581","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":"Preprint"}],"best_oa_location":{"id":"doi:10.5281/zenodo.24038580","doi":"https://doi.org/10.5281/zenodo.24038580","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.24038580","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":"Preprint"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7164683262","https://openalex.org/W7139967925","https://openalex.org/W7172428808","https://openalex.org/W7172421286","https://openalex.org/W7136345844","https://openalex.org/W7167913200","https://openalex.org/W7167211105","https://openalex.org/W7128617709","https://openalex.org/W7138966977","https://openalex.org/W7148463549"],"abstract_inverted_index":{"IEEE-compliant":[0],"IMRaD":[1],"preprint":[2],"and":[3,34,43,64,114,123,152],"open-access":[4],"replication":[5,149],"package":[6],"(Project":[7],"Start":[8],"Date:":[9],"August":[10],"2026)":[11],"providing":[12],"verified":[13],"mathematical":[14],"proofs,":[15],"autonomous":[16],"Hidden":[17],"Markov":[18],"Model":[19],"(HMM)":[20],"/":[21],"Viterbi":[22],"decompression":[23,72],"code":[24],"(LEXICON":[25],"=":[26,29,79,84,88,92,101],"0,":[27],"Delta":[28],"0),":[30],"adversarial":[31,124],"falsification":[32],"logs,":[33],"non-destructive":[35],"archaeometric":[36],"protocols":[37],"(SDD":[38],"micro-pXRF,":[39],"785":[40],"nm":[41],"micro-Raman,":[42],"ER-FTIR)":[44],"for":[45],"Beinecke":[46],"MS":[47],"408":[48],"(the":[49],"Voynich":[50],"Manuscript).":[51],"Operating":[52],"strictly":[53],"under":[54,132],"the":[55],"Zero-Patch":[56],"Standard,":[57],"we":[58],"prove":[59],"across":[60],"37,919":[61],"corpus":[62],"tokens":[63],"44,471":[65],"structural":[66],"units":[67],"that":[68],"two-stage":[69],"syllabic":[70],"block":[71],"restores":[73],"raw":[74],"EVA":[75],"conditional":[76],"entropy":[77],"(H2":[78,100],"2.1500":[80],"bits/char,":[81],"redundancy":[82],"R":[83],"65.04%)":[85],"to":[86],"H2":[87],"3.4698":[89],"bits/unit":[90],"(R":[91],"22.19%),":[93],"matching":[94],"15th-century":[95],"scholastic":[96],"Latin":[97],"medical":[98],"prose":[99],"3.4810":[102],"bits/char).":[103],"Explicit":[104],"AI":[105,129],"Usage":[106],"Disclosure:":[107],"In":[108],"strict":[109],"compliance":[110],"with":[111],"academic":[112],"ethics":[113],"IEEE":[115],"publication":[116],"standards,":[117],"all":[118,145],"mathematical-statistical":[119],"calculations,":[120],"HMM/Viterbi":[121],"matrices,":[122],"audits":[125],"were":[126],"executed":[127],"using":[128],"computational":[130],"pipelines":[131],"human":[133],"verification.":[134],"Universal":[135],"Open":[136],"Peer-Review":[137],"Invitation:":[138],"Science":[139],"advances":[140],"through":[141],"rigorous":[142],"scrutiny;":[143],"therefore,":[144],"constructive":[146],"criticism,":[147],"independent":[148],"tests,":[150],"refutations,":[151],"scholarly":[153],"additions":[154],"from":[155],"any":[156],"researcher":[157],"or":[158],"reader":[159],"worldwide":[160],"are":[161],"openly":[162],"welcomed.":[163]},"counts_by_year":[],"updated_date":"2026-11-09T13:22:03.289127","created_date":"2026-11-08T00:00:00"}
