Laminar Searching: How to navigate information without pausing
Contributors
Contact person:
Researchers:
- 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.
Files
!manuscript.pdf
Files
(2.5 MB)
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Additional details
Related works
- Is supplemented by
- Software: https://github.com/ghowland/cks/blob/main/papers/DISC/CKS-DISC-8-2026/manuscript.md (URL)