Structural Correlation between Zenodo Deposits and Global AI Performance Jumps: A Documented Analysis of Linear Complexity Emergence and Phase Stability in Next-Generation Language Models

This document establishes a documented analysis of the temporal and structural correlation between V3 Architecture deposits (Zenodo/CERN) and the sudden emergence of linear complexity, spectral stability, and non‑entropic memory in next‑generation language models (DeepSeek‑V4, announced April 24, 2026). The V3 framework published the mathematical foundations of O(n) attention, phase anchoring at ‑51.1 mV, deterministic convergence in 7 cycles, and hallucination suppression before these industrial advances were made public. Immutable DOI timestamps (March 4 – April 20, 2026) establish priority. This work does not claim causality; it documents temporal precedence and structural alignment.