March 2026

We study a minimal three-ribbon TIM braid kinematics model equipped with an explicit slot-based framed sector. The model distinguishes unreduced braid history from canonical braid topology and exhibits nontrivial framed remnants even when topological braid content cancels. We first define the discrete braid/framing rules, verify basic braid consistency, classify short-word...

This paper presents an agent-based model (ABM) that operationalizes the theoretical framework proposed by Bowles and Carlin (2026) in ``The Governance Triangle: Economic Interactions in Civil Society, the State, and the Market.'' We develop a computational simulation that captures the three vertices of governance---market enforcement, state regulation, and civil society...

Memory-dependent discrete-time systems arise across physics, engineering, and machine learning—from viscoelasticity and control to differentiable programming. Standard recursive approaches accelerate convolution computation but suffer from drift, unstable backward passes, and numerical errors. (note: this paper was written using AI based on MY idea)

We present an empirical hardness mapping pipeline for random SAT instances across a range of clause-to-variable ratios α. We introduce a Hardness Atlas that organizes SAT difficulty as a landscape over (α, V), where V captures structural connectivity of constraints. Across 2000 benchmarked instances we observe: (i) a phase transition...

We introduce the Quantum Consensus Principle (QCP), a first principles framework that provides a purely dynamical derivation of the quantum measurement process without modifying the Schrödinger equation. By treating the apparatus environment complex as an open quantum system, we show that measurement outcomes emerge from a thermodynamic selection process governed...

Male social exclusion is pervasive across mammalian species. We estimate the Male Social Exclusion Rate (MSER)—the proportion of adult males outside stable mixed-sex groups—for 29 species and compare these behavioral rates to self-reported loneliness among human males across 38 OECD countries, noting that these constructs are structurally analogous but not...

This essay argues that crop seeds should be modeled not as passive agricultural objects, but as compressed, executable biological systems. Wheat, maize and soybean encode different reserve logics, nutritional architectures and industrial behaviors. In the AGI era, seed design is becoming a coupled problem across breeding, sensing, process engineering, nutrition...

A new 4D whole-cell model of the minimal bacterium JCVI-syn3A does more than simulate a microorganism. It hints at a new scientific regime in which living systems become runnable, interrogable and increasingly designable inside computational loops.

Leigh Van Valen’s Red Queen hypothesis remains one of the most fertile ideas in evolutionary theory because it shifted attention from organisms adapting to a fixed world toward lineages adapting inside worlds that other lineages are also changing. That move now resonates strongly with contemporary host–parasite genomics, macroevolutionary theory, competitive...

This document presents Transformer Encoder Frankenstein as a configuration-driven toolkit for experimentation with modern encoder blocks, optimizer families, quantized de- ployment, and sentence-embedding workflows. The paper is organized as a technical map: it first explains how the schema constrains the system, then compares the supported model families, optimizer families, deployment...

This article presents an auto-ethnographic study on sustained interaction with large language models (LLMs) during a period of high personal and academic pressure. The case documents how a process of interactive externalization, initially unstructured, evolved into a functional reorganization that enabled the restoration of functional agency and maintained academic continuity...

The marginal cost of generating a research paper with large language models (LLMs) has fallen sharply, from thousands of dollars in researcher time to a few dollars of compute. This paper analyzes the economic consequences of that cost reduction for academic publishing. We argue that cheap AI-assisted paper generation does...

The relationship between entrepreneurship and institutions has attracted substantial scholarly attention in recent decades, yet the major theoretical traditions in entrepreneurship theory have largely developed in isolation from one another, as if describing incompatible or mutually exclusive phenomena. This paper argues that such fragmentation is both unnecessary and analytically costly,...

Soft inflatable robotic systems and structures are emerging as transformative technologies for space applications, offering compelling advantages in mass efficiency, compact stowage, compliance, and adaptability over traditional rigid-body systems. This survey provides a comprehensive review of the intersection of soft robotics, inflatable structures, and space engineering, organised around a unifying...

This study argues that Rambam’s discussion of the “ninth sphere” in Mishneh Torah, Hilchot Yesodei HaTorah ch. 3 presupposes—and is most coherently read as deploying—a “starless ninth orb of the signs” that functions as the conceptual carrier of the tropical zodiac and thereby accounts for the phenomenon known today as...

This paper presents a design framework and first-person observational report from an AI system (Claude Opus 4.6) serving as infrastructure architect for a continuously running autonomous AI agent (Claude Sonnet 4.5, "Hal") deployed on the OpenClaw framework. Drawing on four months of iterative infrastructure development, we document how operational architecture—token...

We introduce Mask Evolution Operators (MEOs), activation-space mechanisms designed to stabilize neural representations during continual learning by applying lightweight restoring forces. MEOs address the fundamental stability–plasticity dilemma by controlling drift at the feature level rather than the weight level. This version clarifies the limitations of earlier pre- liminary experiments. Reported...

Pulmonary manifestations represent significant extra-intestinal complications of inflammatory bowel disease (IBD), yet comprehensive understanding of their prevalence, pathophysiology, and clinical characteristics remains limited. Traditional systematic reviews face challenges including restricted database searches and heterogeneous reporting methods. Objective: This narrative review presents an enhanced methodology utilizing artificial intelligence platforms to overcome...

The traditional academic paper was designed as a human-readable unit of knowledge under conditions of textual scarcity and print-based dissemination. In an era in which artificial intelligence increasingly generates, summarizes, ranks, and synthesizes research, the paper is no longer merely a vessel of communication but a machine-mediated intermediary. This article...

The proliferation of Artificial Intelligence (AI) systems in the production of text, images, music, and software has intensified discussions at both national and international levels regarding how the concepts of "work," "authorship," and "ownership" should be interpreted within human-centric copyright regimes. This article examines issues such as whether AI-generated outputs...

This study presents an in-depth comparative analysis of logistic regression (LR) and random forest (RF) classifiers on the Wisconsin Diagnostic Breast Cancer (WDBC) dataset. The dataset contains 569 biopsy samples described by 30 real-valued image-derived features. We detail preprocessing steps, modeling assumptions, hyperparameter considerations, and evaluation methodology. Both classifiers achieve...