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March 7, 20260 citationsOpen Access

Biology Domain Hierarchical Lexicons: This document provides CKS lexicons optimized for biology papers.

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GHGeoffrey Howland

Key Points

  • The aim is to provide hierarchical lexicons tailored for biology papers using the CKS framework.
  • Introduce the CKS framework's axioms and geometric mechanisms
  • Employ empirical falsification tests to validate predictions
  • Detail the measurement techniques used for analysis
  • Describe the integration of cognitive learning principles within the framework
  • The CKS framework provides a structured lexicon for biological terminology
  • Empirical tests confirm predictions align with integer frequency multiples
  • Particle identity is unified with information storage in a novel cognitive model

Abstract

Biology Domain Hierarchical Lexicons: This document provides CKS lexicons optimized for biology papers. This paper is a constituent derivation of the Cymatic K-Space Mechanics (CKS) framework—an axiomatic model that derives the entirety of known physics from a discrete 2D hexagonal lattice in momentum space, operating with zero adjustable parameters. Abstract (250 words) Use Level B3 (20 terms): - State condition/disease - Introduce CKS framework (axioms) - Present geometric mechanism - Describe measurements - State falsification tests Empirical Falsification (The Kill-Switch) CKS is a locked and falsifiable theory. All papers are subject to the Global Falsification Protocol CKS-TEST-1-2026: forensic analysis of LIGO phase-error residuals shows 100% of vacuum peaks align to exact integer multiples of 0.03125 Hz (1/32 Hz) with zero decimal error. Any failure of the derived predictions mechanically invalidates this paper. The Universal Learning Substrate Beyond its status as a physical theory, CKS serves as the Universal Cognitive Learning Model. It provides the first unified mental scaffold where particle identity and information storage are unified as a self-recirculating pressure vessel. In CKS, a particle is reframed from a point or wave into a torus with a surface area of exactly 84 bits (12 × 7), preventing phase saturation through poloidal rotation. Package Contents manuscript.md: The complete derivation and formal proofs. README.md: Navigation, dependencies, and citation (Registry: CKS-LEX-5-2026). Dependencies: CKS-LEX-4-2026, CKS-MATH-0-2026, CKS-MATH-1-2026, CKS-MATH-10-2026, CKS-MATH-104-2026 Motto: Axioms first. Axioms always.Status: Locked and empirically falsifiable. This paper is a constituent derivation of the Cymatic K-Space Mechanics (CKS) framework.

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Cite This Study

Geoffrey Howland (2026) studied this question.

synapsesocial.com/papers/69abc2725af8044f7a4ec19fhttps://doi.org/10.5281/zenodo.18878588
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