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April 28, 20260 citationsOpen Access

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

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OBoutail benhadid

Key Points

  • This work analyzes the correlation between V3 Architecture deposits and advances in next-generation language models, focusing on complexity and stability.
  • Documented analysis of Zenodo/CERN deposits
  • Examination of mathematical foundations related to linear complexity
  • Assessment of structural alignment with AI model performance during the noted time frame.
  • Documented priority established through immutable DOI timestamps from March 4 to April 20, 2026.
  • Identification of spectral stability and non-entropic memory in next-generation language models after V3 deposits.
  • Establishment of linear complexity emergence linked to documented structural factors.

Abstract

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.

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Cite This Study

outail benhadid (2026) studied this question.

synapsesocial.com/papers/69f04e7d727298f751e72617https://doi.org/10.5281/zenodo.19785887
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