large language models

The Minimal Universal Model Framework. A Reader-Facing Synthesis. From primitive distinction to quantum structure, arithmetic realization, and emergent geometry.

This document presents the defensible core of the Universal Model Framework (UMF), isolating the minimal set of structural assumptions and derivations that remain logically coherent, mathematically motivated, and empirically falsifiable. As stated in the text, the goal is to extract “the smallest segment that is logica...

A Protocol for Human Attribution Ratings to Self-Referential LLM Outputs: Candidate Cue Structure as a Design Input

Study protocol and planned preregistration draft; data collection not begun. AI-assistance disclosure: large language models were used, under the author's direction and review, for drafting/editing assistance, literature search and bibliographic verification, and (where applicable) research-engineering of governed pipe...

SROP Research Programme Overview

Programme overview/companion (not a paper-level contribution). AI-assistance disclosure: large language models were used, under the author's direction and review, for drafting/editing assistance, literature search and bibliographic verification, and (where applicable) research-engineering of governed pipelines; in the...

A Framework for Measuring Output-Space Regularity Under Recursive Moral Prompting: Proxy Metrics, a Calibration Protocol, and Prospective Activation-Level Validation

Methods paper; no empirical Proxy-IVCS/Latent-IVCS values computed. AI-assistance disclosure: large language models were used, under the author's direction and review, for drafting/editing assistance, literature search and bibliographic verification, and (where applicable) research-engineering of governed pipelines; in...

Prompt-Conditioned Self-Referential Output Patterns in Large Language Models: A Provenance-Bounded, Cross-Platform Output-Level Case Study Under Recursive Moral Prompting

Exploratory, provenance-bounded output-level case study. AI-assistance disclosure: large language models were used, under the author's direction and review, for drafting/editing assistance, literature search and bibliographic verification, and (where applicable) research-engineering of governed pipelines; in the empiri...

A Pattern Language for Production LLM Platforms: Governed Routing, Agent Orchestration, and AI-Native Delivery

A production platform built on large language models makes two kinds of decision, and most of its trouble comes from writing both into one clause. An optimization decision improves an objective: lower latency, lower cost, higher quality, fewer tests run. A boundary decision fixes a constraint that may not be relaxed fo...

The Borrowed Name: Counterfeit Sanctity, Artificial Intelligence, and the Architecture of the Final Deception

This research paper advances a novel constructive theological argument regarding the intersection of biblical eschatology and generative artificial intelligence (AI). Moving beyond traditional inquiries into the identity or chronology of the Antichrist, the author investigates the mechanism of deception described in Ne...

A Generalizable AI-Enabled Framework for Continuous Competitor Intelligence

Background: Competitive intelligence work is routinely scattered across company websites, press releases, industry publications, patent and funding databases, and news feeds. Most organizations still assemble this picture by hand, in spreadsheets and static slide decks that are out of date the moment they are finished....

Evaluating Large Language Models’ Ability to Reason About Anatomical Spatial Relations

THE "OB" CODE: WHAT IF LANGUAGE IS NOT ARBITRARY?

THE “OB” CODE: WHAT IF LANGUAGE IS NOT ARBITRARY? What if some of the oldest layers of language began not with abstract symbols, but with the human body, movement, perception and direct experience of nature? This is the provocative question behind Odam Tili Theory, founded by Dr. Mahmudjon Kuchkarov. Its proposed “OB”...

Transformer-Based Support for Content-Validity Pre-Screening in Educational Materials

Content validity assessment is essential for determining whether educational materials adequately represent intended learning outcomes. However, conventional assessment procedures require substantial expert time and may produce inconsistent decisions across large item collections. This study develops a transformer-base...

THE "OB" CODE: WHAT IF LANGUAGE IS NOT ARBITRARY?

THE “OB” CODE: WHAT IF LANGUAGE IS NOT ARBITRARY? What if some of the oldest layers of language began not with abstract symbols, but with the human body, movement, perception and direct experience of nature? This is the provocative question behind Odam Tili Theory, founded by Dr. Mahmudjon Kuchkarov. Its proposed “OB”...