Demonstrates correct implementation of residual-wave digestion in algorithmic frameworks, highlighting potential for advanced computational models.
CANTBoost: ANT v0.1 is a correctness-first Python reference implementation of residual-wave digestion over pointed, variable-dimensional Riemannian ontology atlases. It includes spherical direction/log-scale carriers, Givens rotors, low-rank generator genomes, local inverse charts, diagonal-plus-low-rank metrics, Bayesian drift beliefs, typed cross-dimensional bridges, contextual ontology-routed attention, residual atlas boosting, a portable `.antcolony` bundle format, and optional tracing/digestion tools for open Qwen modules. The common Absolute anchor is implemented as a distinguished reachability point; semantic preservation still requires an explicit typed bridge. The accompanying preprint separates engineering hypotheses from metaphysical interpretation and states the limitations of the v0.1 reference runtime. S.V.E. Meta-License v4.0 [CC BY-NC-SA 4.0 + Symmetric Addendum + Share-Alike] «Free for Academia, Humanity & NOGO — Proprietary Constrained to Transparency-Audit & Symmetry Conditions»
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Artiom Kovnatsky (2026) studied this question.
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