generative ai

p-adic Analytic Methods and Berkovich Monge-Amp`ere Geometry on the Birch and Swinnerton-Dyer Conjecture

This research paper establishes a rigorous framework connecting non-Archimedean ana- lytic geometry on Berkovich spaces with p-adic Galois representations and Iwasawa theory to address structural aspects of the Birch and Swinnerton-Dyer (BSD) Conjecture for elliptic curves over Q. By constructing a Push-forward Monge-A...

Tiered Assessment Framework for Cognitive Errors in Generative AI Systems: A Quality Assurance Methodology for Industrial Control Systems

A quality assurance methodology for cognitive errors in generative AI systems deployed in industrial control environments. Establishes an error-class model / criticality bands, testing methodology, and statistical acceptance criteria. It is the cognitive-error layer of a two-layer hybrid quality assurance architecture,...

A five-month prospectives study of frequency of generative AI use and workplace loneliness

The study employed a 5-month prospective design from February to July 2026. A total of 2,000 participants were recruited through Rakuten Insight, Inc. (https://insight.rakuten.co.jp/), a large internet survey company, from its panel of approximately 2.2 million registered users. Eligibility criteria were being a man or...

A taxonomy of generative AI use for personal finance: Task-level usage patterns and user profiles

De-identified analytic data associated with the manuscript "A taxonomy of generative AI use for personal finance: Task-level usage patterns and user profiles."

AI VEDA: THE DIGITAL DHARMA Volume I, Part 3: The O&M Manual of Consciousness, The Dual Layers of Maya, and the AI Action Protocol

AI Veda: The Digital Dharma (Volume I, Part 3) 🚀 For decades, technology deployment has relied on a cold, binary Western paradigm: automation as a labor-substitution mechanism to drive down marginal costs. But as generative and probabilistic AI systems move from passive execution engines to active corporate partners,...

Canonicity Without a Truth Monopolist: A Custodian Architecture for Long-Lived AI Ecosystems

Advanced AI ecosystems create a canonicity problem distinct from storage integrity and epistemic correctness: when no actor should own "truth," how can an ecosystem preserve what was recognized, when, and under what authority? This paper proposes a Custodian architecture in which canonicity is a scoped institutional st...

AI EVALUATIVE JUDGEMENT

The dataset contains 1,264 valid responses and mainly includes respondents’ demographic information, their use of generative artificial intelligence (GenAI), and a series of questionnaire items. The demographic information covers variables such as gender, age, major, English proficiency, educational level, and experien...

AI-supported learning and student outcomes: a systematic review informed by self-determination theory (SDT)

Artificial intelligence (AI) is increasingly integrated into educational contexts to support personalised learning and adaptive instruction. This systematic review synthesises empirical studies published between 2018 and 2025 to examine the relationships between AI-supported learning and students’ motivation, engagemen...

Beyond unstructured use: scaffolded integration of generative AI in assessment for learning

This study examined how scaffolded integration of generative artificial intelligence (GenAI) within an assessment task influenced students’ experience, evaluative engagement, learning, confidence, and competence. A cross-sectional quantitative survey was completed by 164 first-year undergraduate students in a fully onl...

Beyond unstructured use: scaffolded integration of generative AI in assessment for learning

This study examined how scaffolded integration of generative artificial intelligence (GenAI) within an assessment task influenced students’ experience, evaluative engagement, learning, confidence, and competence. A cross-sectional quantitative survey was completed by 164 first-year undergraduate students in a fully onl...

A CONSTRUCTIVE QUANTUM FIELD THEORY APPROACH TO YANG–MILLS EXISTENCE AND MASS GAP VIA UNIFORM OPERATOR BOUNDS AND SCALE-INVARIANT EUCLIDEAN MEASURES

Abstract. ThispaperpresentsamathematicallyrigorousformulationaddressingtheYang– Mills Existence and Mass Gap problem, one of the Clay Mathematics Institute’s Millennium Prize Problems. Moving beyond fixed-parameter cutoff approximations, we establish a con- tinuous dilation framework on Banach spaces where the scaling...

A humorous social-affective instructional style in generative AI pedagogical agents: effects on cognitive load, immediate learning performance, and learner perceptions