Klenio Araujo Padilha

WINNEX UB Width Forensic Supplement: The Motor Orchestrates Proof and Latency

This supplement documents a forensic investigation of the winnex-madhava C++ engine. The investigation began with a suspicion that the engine was 'making up numbers': the benchmark reported 95.0% pruning for every dataset and mode, regardless of the Cauchy-Schwarz bound width --...

WINNEX UB Width Forensic Supplement: The Motor Orchestrates Proof and Latency

This supplement documents a forensic investigation of the winnex-madhava C++ engine. The investigation began with a suspicion that the engine was 'making up numbers': the benchmark reported 95.0% pruning for every dataset and mode, regardless of the Cauchy-Schwarz bound width --...

WINNEX: Weighted Inference Neural Network Enhancement — A Deterministic, Training-Free Framework for Enhancing Pretrained Language Models (Composition of the Winnex Spectral Tokenizer, X-Factor Manifold Projector, and Madhava Bound Engine)

This document is the pre-patent technical specification for WINNEX — Weighted Inference Neural Network Enhancement — a deterministic, training-free framework that enhances a pretrained language model without modifying its weights or running any gradient step. The framework compos...