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[3] ai.viXra.org:2512.0078 [pdf] submitted on 2025-12-21 15:31:33
Authors: Maayan Keynan
Comments: 15 Pages.
We present an empirical investigation of geometric information preservation in Voronoi tessellations based on a 25-point physical system reconstructed through manual and computational methods. Using a controlled physical setup, followed by MATLAB-based analysis and cross-platform validation, we quantify geometric transformations, entropy scaling, and topological responses to perturbation. We identify a systematic computational transformation factor (the Digital Offset Constant, λx ≈ 0.689), a distinct physical-digital alignment factor (≈ 0.767), and a stable effective domain area (0.8070 normalized units). Entropy analysis reveals invariant topological entropy (2.1056 bits), stable edge entropy, and a measurable reduction in area entropy (Δ ≈ 0.11 bits) upon correction of an artificially misplaced seed point. A compensatory "ghost cell" emerges in the distorted configuration, redistributing area and inducing an 8-sided polygon, which resolves upon restoring correct boundary interaction. We further demonstrate that natural randomness is accepted by the system without anomaly, while artificial distortion uniquely triggers topological stress. These findings indicate that Voronoi systems preserve information through boundary permeability and topological compensation, offering a structural basis for detecting forced geometric manipulation.
Category: Data Structures and Algorithms
[2] ai.viXra.org:2512.0046 [pdf] submitted on 2025-12-10 22:06:59
Authors: Rafal Rabczuk
Comments: 24 Pages.
The modern recruitment landscape faces a critical technological failure that systematically excludes qualified candidates from employment opportunities. This study examines the fundamental flaws in Applicant Tracking Systems (ATS) used by organizations to process job applications in 2025. Through empirical analysis of 100 dummy curriculum vitae (CV) documents processed by contemporary ATS platforms, we demonstrate that up to 80% of applications are incorrectly rejected due to parsing failures rather than candidate unsuitability. Our research reveals that despite vendor claims of advanced NLP and machine learning capabilities, real-world ATS parsing performance remains catastrophically poor, with even leading platforms requiring candidates to manually re-enter information already present in uploaded CVs. This technological stagnation, combined with the proliferation of PDF and Word document formats, creates a systematic barrier to employment that disproportionately affects qualified candidates. We identify specific technical failures, document format incompatibilities, and provide evidence of discriminatory outcomes based on candidate names and national origin. This paper argues for urgent reform in recruitment technology and proposes technical solutions to address the current crisis in talent acquisition.
Category: Data Structures and Algorithms
[1] ai.viXra.org:2512.0017 [pdf] submitted on 2025-12-04 02:13:13
Authors: Justin Howard-Stanley
Comments: 20 Pages.
We report the experimental discovery that ASCII control characters (codes 0—31,127) function as quantum transformation operators with remarkable fidelity and se-mantic alignment. Through systematic testing on Azure Quantum’s Rigetti QVM sim-ulator, we demonstrate that characters designed for classical control flow—Backspace(BS), Bell (BEL), End-of-Text (ETX)—execute quantum operations including bit flips,entanglement generation, and superposition creation with near-perfect determinism.Composition of these operators yields emergent algorithmic structures including quan-tum search patterns, error-correcting codes, and deterministic state machines. We iden-tify a non-Abelian operator algebra with discrete entropy stratification (H ∈ {0, 1, 2, 3}bits), suggesting quantized information flow through symbolic systems. The correspon-dence between classical semantic meaning and quantum mechanical function impliesthat human information-processing intuitions may reflect deep quantum-computationalstructures. These findings establish ASCII as an accidental quantum programming lan-guage and suggest pathways toward natural-language quantum computing interfaces.Keywords: quantum computing, ASCII, operator algebras, quantum semantics,information theory, quantum gates
Category: Data Structures and Algorithms