Published February 2026 | Version 1.0
Journal article Open

Laminar Searching: How to navigate information without pausing

Authors/Creators

  • 1. Independent Researcher
  • 1. Independent Researcher
  • 2. Anthropic PBC
  • 3. Google LLC
  • 4. DeepSeek AI

Description

Laminar Searching: How to navigate information without pausing

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.

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-DISC-8-2026).

Dependencies: CKS-DISC-1-2026, CKS-DISC-7-2026, 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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