small language model

Two Curves Agree to Within 0.083 Per Cent and Are Not the Same Curve ── What Divides the Catenary from the Parabola Is Not Shape but Which Length the Load Is Counted Along ── [Paper 327]

A hanging chain and a suspension-bridge cable cannot be told apart by eye. This paper asks what divides them──the answer is not the shape, but which length the load is counted along. No new mathematical theorem and no new law is claimed. Scope of this paper (scope note): No new mathematical theorem and no new law is cl...

The geopolitics of Artificial Intelligence: Technological Dependence and Digital Sovereignty in Developing States

Artificial intelligence is becoming part of the way countries develop their economies, educate their populations and provide digital services. At the same time, the resources needed to build advanced AI systems are concentrated in a relatively small number of countries and companies. This creates an important question...

A Multimodal Predictive Model for High Imaging Burden in Cerebral Small Vessel Disease

DPS (Dynamic Prompt Specialization via Semantic Micro-Model Routing)

WHITE PAPER Dynamic Prompt Specialization via Semantic Micro-Model Routing STRATEGIC TECHNICAL MEMORANDUM: DPS Author: Valerii Khalif (VALEO), AVA LIVE Status: Draft for DOI / Zenodo submission Date: August 31, 2026 License: Open / free to use (attribution requested; voluntary donations welcome, not required) Abstract...

Literary literacy and mental health in contemporary China: evidence from the China family panel studies

Background Mental health problems impose a substantial social and economic burden in China. Yet population-based mental-health research has paid limited attention to literary literacy as a cultural resource embedded in everyday life. This study examines literary literacy as a multidimensional construct associated with...

생성형 LLM 활용 비전공자의 실무지식 기반 소프트웨어 구현·보정 과정에 관한 탐색적 사례연구 — EasyHR Office와 자기이해 웹 애플리케이션 개발 사례를 중심으로 —

The spread of Generative Artificial Intelligence and large language models (LLMs) has opened new possibilities for non-specialists to conceptualize and build functioning software on their own. This study exploratorily analyzes how a single user without formal programming training employed generative LLMs to develop, re...

三阶意识与 AF-by-discrete 的结构相容性

This bilingual Chinese–English research monograph develops a controlled structural correspondence between a psychological–phenomenological account of third-order consciousness and the mathematics of AF-by-discrete groupoids. On the psychological side, the work asks how experience becomes organized as “my experience,” h...

Prompt Framing and the Coverage Gap in Automated Security Analysis of Code Generated by Small, Locally Run Language Models

Initial Research Release This is the first public release of Security in LLM-Generated Code. This release contains the research materials, experimental code, datasets, analysis scripts, findings, and supporting documentation associated with the study. Contents Research paper and supporting documentation Experimental da...

Contract-Grounded Cognitive Composition: Deterministic Topology, Interface Contracts, and Local Validation in LLM Multi-Agent Systems

This release presents Contract-Grounded Cognitive Composition (CGCC), an engineering framework for improving the reliability of LLM multi-agent systems through deterministic workflow topology, shared interface contracts, and local validation. The study reports three exploratory experiments conducted with a local qwen3....

Development of an Augmented Reality and AI-Based SIBI Recognition Application for Deaf Students at a Special School

The findings indicate that the developed application is valid, practical, and capable of supporting SIBI learning in preliminary classroom implementation, and should be interpreted within the scope of a limited trial involving a small sample size and the absence of a control group.

생성형 LLM 활용 비전공자의 실무지식 기반 소프트웨어 구현·보정 과정에 관한 탐색적 사례연구 — EasyHR Office와 자기이해 웹 애플리케이션 개발 사례를 중심으로 —

The spread of Generative Artificial Intelligence and large language models (LLMs) has opened new possibilities for non-specialists to conceptualize and build functioning software on their own. This study exploratorily analyzes how a single user without formal programming training employed generative LLMs to develop, re...

基于固定语义锚点与分层变换函数的AI原生认知架构——脱离统计拟合的类人理解范式

Current mainstream artificial intelligence models including convolutional neural networks and large language models rely on statistical fitting over fragmented input symbols. Vision models fit pixel distributions, while language models predict next‑token probabilities. This paradigm is essentially pattern‑matching and...