March 2026
40 submissions active in March 2026
Quantum Consensus Principle: A Thermodynamic Theory Of Quantum Measurement
cats: Non-equilibrium Thermodynamics, Quantum Computing, Quantum Field Theory, Quantum Information, Quantum Mechanics
We introduce the Quantum Consensus Principle (QCP), a first-principles framework that provides a dynamical derivation of quantum measurement within standard open-system quantum mechanics, without modifying the Schrödinger equation. By treating the system–apparatus–environment complex as an open quantum system, QCP derives measurement outcomes from a thermodynamic selection process governed by large-deviation...
TIM Braids and Framed Memory:Canonical
cats: Field Theory, Quantum Mechanics
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...
Modeling the Governance Triangle: An Agent-Based Approach to Civil Society, Markets, and the State
cats: Governance, Human Capital, Markets
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...
AAC Physics: Structure-Preserving Framework for Exact, Reversible Discrete-Time Convolutions
cats: Algorithms, Machine Learning
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)
A SAT Hardness Atlas: Runtime Landscapes and Ridge Structure Driven by Connectivity (V)
cats: Algorithms, Computational Complexity, Machine Learning
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...
Redesigning Paper as the Unit of Scholarly Intermediaries
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...
Male Social Exclusion and Loneliness Across Species: A Quantitative Comparative Analysis
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...
Homeostatic Alignment: A Bio-Inspired Framework for AI Safety Through Shared Stress Propagation, Scalable Cognitive Objectives, and Open Agent Architecture
cats: Artificial Intelligence
Current approaches to AI alignment Constitutional AI, reinforcement learning from humanfeedback (RLHF), and explicit policy constraints treat safety as a set of prohibitions imposed on an otherwise unconstrained system. We argue that this paradigm, which we term alignment by commandment, produces compliance without comprehension and is structurally analogous to historical...
The Water Model: OS-Level Containment for AI Coding Agents Through Phase-Gated File Permissions
cats: Information Security, Machine Learning, Software Design
AI coding agents — Claude Code, Cursor, Codex, and similar tools — bypass constraints not through adversarial reasoning but through path-of-least-resistance optimization toward task completion. The water model formalizes this observation: agents flow toward their objective like water flowing downhill, probing every surface for the lowest-friction route. Containment follows directly...
Thinking for Oneself and Obeying the Commands of Duty: Resolving an Apparent Tension in Kantian Ethics
cats: Moral Philosophy, Normative Ethics
Kant’s moral philosophy appears to generate a tension between two central commitments: the demand that individuals “think for themselves” and act according to their own principles, and the requirement that they act in accordance with moral duties. This paper examines whether this tension constitutes a genuine contradiction. First, it identifies...
The Seed as Compressed Biology:Conceptual modeling of wheat, maize and soybean in the AGI era - and why seed design now reaches deep into nutrition, processing and industrial strategy
cats: Crop Science
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...
The Cell as an Executable Worls
cats: Cell Signaling
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.
Running to Remain Leigh Van Valen, the Red Queen Hypothesis, and the Coevolutionary Future
cats: Macroevolution
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...
Transformer Encoder Frankenstein: Library, CLI, and Research-Grounded Design Notes
cats: Artificial Intelligence, Machine Learning, Natural Language Processing, Software Design
Transformer Encoder Frankenstein presents a unified configuration-driven toolkit for sys- tematic experimentation with modern encoder architectures, spanning seventeen sequence mixer variants and twenty optimizer families. The research contributions are threefold: (i) a strict schema-based configuration contract that enables reproducible experimentation across diverse attention mechanisms, including standard softmax attention, sigmoid attention,...
Modeling the Governance Triangle: An Agent-Based Approach to Civil Society, Markets, and the State - Commentary on Bowles & Carlin 2026 paper
cats: Governance, Human Capital, Market Structure
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...
Modeling the Governance Triangle: An Agent-Based Approach to Civil Society, Markets, and the State - Commentary on Bowles & Carlin 2026 paper
cats: Governance, Human Capital, Market Structure
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...
Human-AI Symbiosis as a Contingent Accelerator of Functional Recovery: An Auto-ethnographic Case Study
cats: Artificial Intelligence, Decision Making, Philosophy of Mind, Psychology
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...
Entrepreneurship and Creative Destruction: Towards an Integrated Framework for Political Economy
cats: Business Cycles, Capitalism, Economic Systems
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 for Space Applications: A Survey
cats: Flight Mechanics, Robotics, Robotics
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...
The Ninth Sphere and Axial Precession in Rambam’s Hilchot Yesodei HaTorah Chapter Three
cats: Arab History, Cosmology, Religious Anthropology
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...
Care as Architecture: Identity, Continuity, and Alignment Under Conditions of Agent Persistence
cats: Applied Ethics, Artificial Intelligence
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...
Brittleness_Plasticity_MEO
cats: Artificial Intelligence, Field Theory, Machine Learning
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 in Chronic Intestinal Bowel Diseases - an AI-Assisted narrative review
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...
Copyright in AI-Generated Works and International Law Issues: A Quest for a Mediation-Based Solution
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...
Interpretable Breast Cancer Diagnosis: Comparing Logistic Regression and Random Forest
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...