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Artificial intelligence systems are accumulating coordination complexity at an unprecedented rate, approaching a Crest state in which marginal costs of alignment, energy, data, and governance exceed available surplus. The boundary-management and continuity-preserving role, manifests in AI as the set of mechanisms requi...
Claims that generative artificial intelligence (GenAI) improves language learning depend on the counterfactual, the assessment condition, and the time horizon. We conducted a convergent segregated mixed-methods evidence audit of GenAI-supported English-language learning and introduced an inference-ceiling framework tha...
We present NeuroGlyph, a semantic interlingua protocol that encodes the meaning of human and agent communication as a rooted directed acyclic graph over the 65 semantic primes of Natural Semantic Metalanguage (NSM, Chart v15, Goddard and Wierzbicka). The protocol introduces an explicit pragmatics layer (intent, mode, e...
Pre-Alpha Ethiopic (Geʽez / Amharic) recognition model — PP-OCRv6 medium fine-tune Status: preliminary / pre-Alpha. This deposit is an early public checkpoint, not a finished production model. Better versions are planned as soon as additional medieval and pre-modern Ethiopic ground truth can be annotated and curated. H...
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Academic credential fraud threatens trust in higher education, labour-market fairness, and professional standards. This study examines self-reported familiarity with forged higher-education certificates and public perceptions of credential fraud in Qatar using data from the May 2022 Qatar Semi-Annual Survey. The model...
Background: Conversational artificial intelligence (AI), including chatbots, large language models, virtual agents, and embodied conversational systems, is increasingly being introduced into healthcare, rehabilitation, education, and professional practice. In pediatric occupational therapy, these technologies could pot...
We present NeuroGlyph, a semantic interlingua protocol that encodes the meaning of human and agent communication as a rooted directed acyclic graph over the 65 semantic primes of Natural Semantic Metalanguage (NSM, Chart v15, Goddard and Wierzbicka). The protocol introduces an explicit pragmatics layer (intent, mode, e...
WhisperWolf: A Monte Carlo Benchmark for Small LLMs in a Social Deduction Game Multi‑agent conversational games such as Werewolf offer a valuable testbed for evaluating the social reasoning, deception and persuasion abilities of large language models. This work presents WhisperWolf, a reproducible Monte‑Carlo benchmark...
This is a mechanistic-interpretability replication attempt testing whether large language models (Qwen2.5-0.5B, Mistral-7B-v0.1) encode small closed relational sets, such as days of the week and months, as literal low-dimensional geometry in hidden-activation space, via a graph-Laplacian probe. We report six results, i...
We are building and publishing, step by step, a formal and verifiable research program directed at the Yang–Mills existence and mass-gap problem, stating precisely what has been proved and what remains open. TL;DR Version 53 establishes finite-volume Lipschitz stability under remote polymer-activity damping. It bounds...
Modern astrophysics, cosmology, and field theory pipelines already contain all the machinery required to test Unified Substrate Theory. No new detectors, frameworks, or solvers are needed. The required changes are small, local modifications to existing code: replacing ontology assumptions, swapping a Lagrangian, redefi...
Abstract: We report the migration of AkbasCore's inference-time, multi-axis activation-steering kernel from a host-side C++ implementation to a GPU-native CUDA kernel, and the first capability-preservation benchmark of this method against real-world evaluation data. The steering framework combines a critically-damped,...
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