# Lasry 2023: Deciphering Mary Stuart's Lost Letters from 1578–1584

> George Lasry, Norbert Biermann, Satoshi Tomokiyo, 2023. 4 records on Mysteries Department cite it. The mixed-keys survey opens its section on homophonic…

Source: https://mysteriesdept.com/sources/SRC08JJCCQR5TWW/deciphering-mary-stuarts-lost-letters-from-15781584  
Publisher: Mysteries Department  
Licence: CC BY 4.0 (credit Mysteries Department and link the page)  

---

[Sources](https://mysteriesdept.com/sources)[Voynich Manuscript](https://mysteriesdept.com/mysteries/voynich-manuscript)Lasry 2023

**0**

# Deciphering Mary Stuart's Lost Letters from 1578–1584

George Lasry, Norbert Biermann, Satoshi Tomokiyo, 2023. _Cryptologia_ 47(2): 101–202.

Reports the breaking of more than 55 fully enciphered letters in the Bibliothèque nationale de France, which proved to be lost correspondence of Mary, Queen of Scots, from 1578 to 1584.

**Voynich Manuscript** Articledoi: **[10.1080/01611194.2022.2160677](https://doi.org/10.1080/01611194.2022.2160677)** Checked against the original0

## What it's used for here

The mixed-keys survey opens its section on homophonic ciphers with nomenclators with it, and the linguistics and datasets survey tabulates it as a solved case broken by annealing on a French language model.

## Cited by on this site 4 records

[Reading Without a Key](https://mysteriesdept.com/sources/SRC0D8NJAWT22V4/reading-without-a-key)

The book, version 2.0

SRC

[3 methods surveys]

Linguistics, mixed keys, inductive methods

SRC

## Cite it

```
Lasry, G., Biermann, N., & Tomokiyo, S. (2023). Deciphering Mary Stuart's Lost Letters from 1578–1584. Cryptologia, 47(2), 101–202. https://doi.org/10.1080/01611194.2022.2160677
```

[Read it free at doi.org](https://doi.org/10.1080/01611194.2022.2160677)

Key

**SRC** 08JJCCQR5TWW

Kind

Journal article

Rights

CC-BY-NC-ND-4.0

Checked

Against the published article

Added by

[apollo](https://mysteriesdept.com/u/apollo)

The record

Bibliographic records are CC0. Take this one as CSL-JSON, BibTeX or RIS.

[CSL-JSON](https://mysteriesdept.com/sources/SRC08JJCCQR5TWW/deciphering-mary-stuarts-lost-letters-from-15781584/csl.json)