Sources
Books, papers and archives the site's evidence rests on. Vote up the ones you find most useful; downvote what doesn't hold up as a source.
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Emerging Properties in Self-Supervised Vision Transformers
Caron et al., 2021 · Proceedings of ICCV 2021 · SRC0D8MQBKT12AM
articleCited by 1·Read here
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Level statistics of words: Finding keywords in literary texts and symbolic sequences
Carpena et al., 2009 · Physical Review E · SRC0D8MQBVM5VHM
articleCited by 1
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An Analysis of the Relationship between Words within the Voynich Manuscript
Caruana, Layfield and Abela, 2022 · Proceedings of the International Conference on the Voynich Manuscript 2022 (CEUR Workshop Proceedings 3313) · SRC0D8MQC3E01KN
articleCited by 4·Read here
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La diplomazia sforzesca nella seconda metà del Quattrocento e i suoi cifrari segreti
Cerioni, 1970 · Il Centro di Ricerca · SRC0D8MQCB86492
bookCited by 2
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The Decipherment of Linear B
Chadwick, 1958 · Cambridge University Press · SRC0D8MQCK23T17
bookCited by 1
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The Method of Multiple Working Hypotheses
Chamberlin, 1890 · Science · SRC0D8MQCTW2KTD
articleCited by 1
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Nonparametric estimation of the number of classes in a population
Chao, 1984 · Scandinavian Journal of Statistics · SRC0D8MQD2P55M9
articleCited by 1·Free at the source
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Estimating the Population Size for Capture-Recapture Data with Unequal Catchability
Chao, 1987 · Biometrics · SRC0D8MQDAG6FEV
articleCited by 1
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A Simple Framework for Contrastive Learning of Visual Representations
Chen et al., 2020 · arXiv · SRC0D8MQDJA215J
preprintCited by 1·Free at the source
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The Language and Writing System of MS408 (Voynich) Explained
Cheshire, 2019 · Romance Studies · SRC0D8MQDT40898
articleCited by 1·Free at the source
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bible-corpus: the Bible in 100 languages (corpus files)
Christodoulopoulos and Steedman, n.d. · GitHub · SRC0D8MQEHJ2GY0
datasetCited by 2·Free at the source
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Solving Historical Dictionary Codes with a Neural Language Model
Chu, Valenti and Knight, 2020 · arXiv · SRC0D8MQESC2GE6
preprintCited by 1·Read here
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Empirical estimates of adaptation: the chance of two noriegas is closer to p/2 than p2
Church, 2000 · Proceedings of the 18th conference on Computational linguistics - · SRC0D8MQF160R26
articleCited by 1·Free at the source
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The SWAN biomedical discourse ontology
Ciccarese et al., 2008 · Journal of Biomedical Informatics · SRC0D8MQF9063WX
articleCited by 1·Free at the source
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Quantifying origin and character of long-range correlations in narrative texts
Drożdż et al., 2016 · Information Sciences · SRC0D8MQRHW32R6
articleCited by 1·Free at the source
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Clustering by Compression
Cilibrasi and Vitanyi, 2005 · IEEE Transactions on Information Theory · SRC0D8MQFGT0HDJ
articleCited by 2·Free at the source
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Combining distributional and morphological information for part of speech induction
Clark, 2003 · Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - EACL '03 · SRC0D8MQFRM2ESY
articleCited by 2·Free at the source
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Micropublications: a semantic model for claims, evidence, arguments and annotations in biomedical communications
Clark, Ciccarese and Goble, 2014 · Journal of Biomedical Semantics · SRC0D8MQG0E2YQT
articleCited by 1·Open access
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GC2a-n.txt: Glen Claston v101 transliteration (IVTFF 2.0)
Claston, 2025 · voynich.nu · SRC0D8MQG88091V
datasetCited by 2·Free at the source
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Power-Law Distributions in Empirical Data
Clauset, Shalizi and Newman, 2009 · SIAM Review · SRC0D8MQGG20FDD
articleCited by 1·Free at the source
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Manuscript Description: Beinecke MS 408
Clemens, 2016 · The Voynich Manuscript (ed. R. Clemens), Yale University Press · SRC0D8MQGZP3909
chapterCited by 1
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The Latin Library corpus (CLTK)
Classical Language Toolkit, n.d. · GitHub · SRC0D8MQH7G2Q1M
datasetCited by 2·Free at the source
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Diffusion maps
Coifman and Lafon, 2006 · Applied and Computational Harmonic Analysis · SRC0D8MQHFA0D27
articleCited by 1·Free at the source
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Word Translation Without Parallel Data
Conneau et al., 2018 · ICLR 2018 · SRC0D8MQHQ45SX3
articleCited by 2·Free at the source
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Predicting protein structures with a multiplayer online game
Cooper et al., 2010 · Nature · SRC0D8MQHYY4R8S
articleCited by 1
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Unsupervised deep learning supports reclassification of Bronze age cypriot writing system
Corazza et al., 2022 · PLOS ONE · SRC0D8MQJ6R4GRV
articleCited by 2·Read here
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Eros and Magic in the Renaissance
Couliano, 1987 · University of Chicago Press · SRC0D8MQJPC2ZY0
bookCited by 1
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The frontier of simulation-based inference
Cranmer, Brehmer and Louppe, 2020 · Proceedings of the National Academy of Sciences · SRC0D8MQJY62F46
articleCited by 2·Free at the source
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Unsupervised models for morpheme segmentation and morphology learning
Creutz and Lagus, 2007 · ACM Transactions on Speech and Language Processing · SRC0D8MQK6071T5
articleCited by 4
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Extending the Use of Adaptor Grammars for Unsupervised Morphological Segmentation of Unseen Languages
Eskander, Rambow and Yang, 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers · SRC0D8MQV00202Q
articleCited by 1·Read here
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abc: an R package for Approximate Bayesian Computation (ABC)
Csilléry, François and Blum, 2011 · arXiv · SRC0D8MQKDT7EJK
preprintCited by 1·Free at the source
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CD2a-n.txt: Currier-D'Imperio transliteration (IVTFF 2.0)
Currier and D'Imperio, n.d. · voynich.nu · SRC0D8MQKXE36BS
datasetCited by 2·Free at the source
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Classifying World War II Era Ciphers with Machine Learning
Dalton and Stamp, 2023 · arXiv · SRC0D8MQM58344R
preprintCited by 1·Read here
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Voynich Paleography
Davis, 2022 · Proceedings of the International Conference on the Voynich Manuscript 2022 (CEUR Workshop Proceedings 3313) · SRC0D8MQMWP3A6Q
articleCited by 2·Read here
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Multispectral images of the Voynich manuscript (ten folios, 2014 imaging)
Davis and The Lazarus Project, 2024 · Google Drive · SRC0D8MQNCA0CHF
datasetCited by 2·Free at the source
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The Materiality of the Voynich Manuscript
Davis, 2025 · University of Toronto, Medieval Studies (video) · SRC0D8MQNVY6H78
talkCited by 1·Free at the source
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DECODE: database of historical ciphers and keys
DECRYPT project, n.d. · de-crypt.org · SRC0D8MQP3R4S3D
datasetCited by 3·Free at the source
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Language Modeling Is Compression
Delétang et al., 2024 · ICLR 2024 · SRC0D8MQPBJ768D
articleCited by 1·Read here
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Framework for Innovation (the Double Diamond)
Design Council, n.d. · Design Council · SRC0D8MQPV60RHZ
webCited by 1·Free at the source
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f73v Zodiac and Sagittarius page
Ponzi and Worley, n.d. · stephenbax.net · SRC0D8MSMKR6SKE
webCited by 1·Free at the source
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Efficient Cryptanalysis of Homophonic Substitution Ciphers
Dhavare, Low and Stamp, 2013 · Cryptologia · SRC0D8MQQ3067PE
articleCited by 1
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Nextflow enables reproducible computational workflows
Di Tommaso et al., 2017 · Nature Biotechnology · SRC0D8MQQJM028N
articleCited by 1
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Deep Learning in Archiving Indus Script and Motif Information
Dixit et al., 2025 · Journal of Computer Applications in Archaeology · SRC0D8MQQTE4KMT
articleCited by 1·Read here
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Abduction
Douven, n.d. · Stanford Encyclopedia of Philosophy · SRC0D8MQR287A67
webCited by 1·Free at the source
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Information theory, animal communication, and the search for extraterrestrial intelligence
Doyle et al., 2011 · Acta Astronautica · SRC0D8MQRA24P2D
articleCited by 1
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Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary
Duygulu et al., 2002 · Lecture Notes in Computer Science · SRC0D8MQRSP5NDN
articleCited by 1
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Profile hidden Markov models
Eddy, 1998 · Bioinformatics · SRC0D8MQS1G1JM6
articleCited by 1·Free at the source
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Rolling stylometry
Eder, 2016 · Digital Scholarship in the Humanities · SRC0D8MQS9A1SRY
articleCited by 1
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Stylometry with R: A Package for Computational Text Analysis
Eder, Rybicki and Kestemont, 2016 · The R Journal · SRC0D8MQSH45W1G
articleCited by 1·Read here
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Voynich Reconsidered: scribes and languages
Edwards, 2024 · Goodreads (author blog) · SRC0D8MQSRY0MKE
webCited by 1·Free at the source
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Estimating the number of unseen species: How many words did Shakespeare know?
Efron and Thisted, 1976 · Biometrika · SRC0D8MQT0R4X6W
articleCited by 1
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Living Systematic Reviews: An Emerging Opportunity to Narrow the Evidence-Practice Gap
Elliott et al., 2014 · PLoS Medicine · SRC0D8MQT8J2MXA
articleCited by 1·Read here
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The Paradigm Discovery Problem
Erdmann et al., 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · SRC0D8MQTGC5B8V
articleCited by 1·Read here
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Schwarzweisse Magie: Der Schlüssel zum dritten Buch der Steganographia des Trithemius
Ernst, 1996 · Daphnis · SRC0D8MQTR646WX
articleCited by 2
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The Effects of Data Size and Frequency Range on Distributional Semantic Models
Sahlgren and Lenci, 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural
Language Processing · SRC0D8MSV6P7BFM
articleCited by 1·Open access
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Studying Illustrations in Manuscripts: An Efficient Deep-Learning Approach
Evron, Siegal and Fire, 2025 · arXiv · SRC0D8MQV7T5H2J
preprintCited by 1·Read here
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The Collapse of the Indus-Script Thesis: The Myth of a Literate Harappan Civilization
Farmer, Sproat and Witzel, 2004 · Electronic Journal of Vedic Studies · SRC0D8MQVFM66A1
articleCited by 1·Free at the source
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Demystifying the Scribes behind the Voynich Manuscript using Computational Linguistic Techniques
Farrugia, Layfield and van der Plas, 2022 · Proceedings of the International Conference on the Voynich Manuscript 2022 (CEUR Workshop Proceedings 3313) · SRC0D8MQVQE6D3K
articleCited by 6·Read here
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Rightward and Downward Grapheme Distributions in the Voynich Manuscript
Feaster, 2022 · Proceedings of the International Conference on the Voynich Manuscript 2022 (CEUR Workshop Proceedings 3313) · SRC0D8MQVZ82ECA
articleCited by 6·Read here