# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "PsiUEngineRL" in publications use:' type: software license: MIT title: 'PsiUEngineRL: Homotopy Type Theory Engine for Reinforcement Learning' version: 0.1.3 doi: 10.32614/CRAN.package.PsiUEngineRL abstract: Core architecture for interpreting continuous data streams as homotopy types. It evaluates identity paths against the Gnomonic Ratio ('Lombardi', 2026) and processes them via a dynamic 'Tableau Refutation Tree'. The engine categorizes data into necessity (BOX), possibility (DIAMOND), or noise based on deviation thresholds from the invariant value. Includes adaptive auto-tuning and native high-contrast Cartesian graphics for structural entropy isolation. authors: - family-names: Lombardi given-names: Roberto email: lombardisedr@gmail.com repository: https://lombardisedr-dev.r-universe.dev commit: 6e03c8a32188e4bcdc3117db16a945cfea9e70fd date-released: '2026-06-07' contact: - family-names: Lombardi given-names: Roberto email: lombardisedr@gmail.com