derivation

A technical deep-dive into how Nix's sandbox paths act as a hidden input to derivations, breaking reproducibility by allowing the same derivation to produce different outputs depending on sandbox configuration.

This paper by Brandon Sandhu provides a mathematically rigorous yet accessible derivation of the Transformer architecture, covering tokenization, embeddings, attention mechanisms, and other core components, with prerequisites in linear algebra, calculus, probability, and information theory.

This paper presents MorfFlex, a morphological dictionary architecture for languages with rich inflection and derivation, exemplified by MorfFlex CZ for Czech, which contains over 100 million wordforms and supports annotation consistency and NLP tools.

The article demystifies the Nix build process by reimplementing nix-build in under 100 lines of Go, showing that turning a derivation into a store path is essentially an exec.