large language models

Semantic-Conditioned Spectral Fusion for Label-Efficient Multispectral Adaptation of Frozen Remote-Sensing Vision–Language Models

Remote-sensing vision–language models (RS-VLMs) yield transferable, text-alignable representations, yet are pre-trained on three-band RGB imagery and therefore cannot exploit the red-edge, near-infrared and short-wave-infrared bands that carry much of the discriminative signal in multispectral data. Existing adaptation...

Semantic Spacetime, Semantic Gravity, and the Law of Attention

A Framework for Meaning Mass, Contextual Curvature, Attention Allocation, and Evolvable Semantic Systems Description This work develops an integrated theoretical framework for understanding how meaning, attention, and context interact across cognitive, artificial, cultural, and civilizational systems. The framework com...

An Availability-Oriented, Multi-Provider Architecture for Generative AI Services: A Fault-Injection Case Study

Applications built on third-party Generative AI APIs inherit the unreliability of those APIs. Providers rate-limit requests, exhaust free-tier quotas, deprecate models, and return server errors, any of which can break a dependent application. This paper presents an availability-oriented architecture that does not depen...

Reproducibility Artifacts for an Integrated Blockchain and Large Language Model Decision Support System for Organ Donation and Transplantation Workflows

This release adds reproducibility support for the revised evaluation: separates strict output completion, classification performance conditional on valid output, and failure-penalized end-to-end performance; adds a 20-scenario post hoc robustness suite covering safeguard boundary conditions, invalid model outputs, and...

Measuring an i+1 language tutor from the outside: one robust effect, one language-dependent null, and one failed conformance bar

Krashen's comprehensible-input hypothesis holds that acquisition happens when input sits just beyond the learner's current competence - the so-called i+1 condition. Large language models make it possible, for the first time, to generate such input on demand rather than select it from a fixed corpus. We report three res...

Auditable AI-Assisted Scientific Discovery: From Noncausal Processes to Quantum Measurement Rigidity

Large language models can accelerate scientific exploration, but generated arguments are not evidence. We report a human–AI research workflow in which model outputs are treated as conjectures and claims are admitted only after proof or deterministic, independently checked computation. The workflow is illustrated by a c...

Cryptographic Token Efficiency Architecture and Semantic Injection Routing Matrix for Persistent Context Windows

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Does the Language of the Prompt Change the Politics of the Answer? A Cross-Lingual Agent-Based Audit of Generative AI and Turkish Political Discourse

Chronometric Injection: A Residual-Stream Channel for Elapsed-Time Conditioning in Frozen Language Models

Large language models can reason about time when temporal information is written in a prompt, but the standard transformer interface provides no first-class input for elapsed wall-clock duration. This limitation matters for interactive and agentic systems, where the same visible prompt may require different responses d...

Formal Verification of Agentic MLOps Protocols: Model Checking and Liveness Guarantees in Distributed Model Context Protocol Workflows

Integrating Large Language Models (LLMs) into distributed scientific workflows has established autonomous agentic tool orchestration across high-performance computing clusters. However, delegating multi-step execution graphs to generative models over unconstrained protocols exposes GPU clusters to circular wait deadloc...

Physics-constrained large language model-assisted optimal scheduling approach for hydro-wind-solar systems considering multi-level backwater effects

Multi-level backwater effects couple downstream reservoir water levels with upstream tailwater levels and effective heads, which complicates the long-term coordinated scheduling of cascade hydro–wind–solar systems. This study addresses this scheduling problem by developing a physics-constrained Large Language Model (LL...

EVAL Study Dataset and Supporting Materials: Clinical Safety of Large Language Model Responses to Simulated Iraqi Arabic Breast Cancer Scenarios and Agreement Between GPT-5.1 and Human Experts

This repository contains the datasets and supporting methodological materials for a multi-phase evaluation of the clinical safety and performance of large language model (LLM) responses to simulated Iraqi Arabic breast cancer scenarios and agreement between GPT-5.1 automated evaluations and human experts. The study com...