large language models

Judgment Cost Theory, Study 2 — Replication and Audit Archive: When Automation Concentrates Judgment: A Systematic Review and Meta-Analysis of Residual Decision Difficulty and Oversight Burden Following AI Adoption

Version 2.3 (21 September 2026). No content changed between 2.2 and 2.3. Every file, hash and result is identical. This version exists only to correct the file list: version 2.2 was published carrying both the superseded v2.1 archive and the current one, because Zenodo copies prior files into a new-version draft by def...

IRIS: An Intelligent Vision-Language System for Ocular Surface Diseases via Topic Tree and Scene-Driven VQA Generation

An Autonomous Agentic Query Framework with MCP Tools and Modernized NIST SRD-46 for Accelerating Aqueous Speciation Analysis

Large language models (LLMs) could automate reasoning over structured scientific databases in chemistry and materials science, but this requires purpose-built agentic architectures, not simply better models. We present an agentic workflow for systematically querying and extracting data from the NIST Standard Reference...

TAVR-VLM: Risk-Conditioned Causal Grounding for Hallucination-Resistant Report Generation

Nature and Nurture in a Language Model: Installable Value Fields, Intrinsic Capacity, and the Forward-Consolidation Boundary

Behavioural Friction Theory decomposes the forces that govern a bounded decision system into four cognitive fields — Safety, Meaning, Ability, Effort. Are these fields intrinsic to a substrate, or the generic product of its exposure to experience? This paper uses a large language model as a controllable test substrate...

Scalable Training of Spatially Grounded 2D Vision–Language Models for Radiology

The Alignment Paradox of Medical Large Language Models in Infertility Care: Decoupling Algorithmic Improvement From Clinical Decision-Making Quality

Outcome-based metrics alone are insufficient proxies for clinical utility in ART decision support and algorithmic improvement and clinical alignment suggest a possible decoupling; a phenomenon the authors term the alignment paradox.

The Immutable Tensor Architecture: A Pure Dataflow Approach for Secure, Energy-Efficient AI Inference

The deployment of Large Language Models (LLMs) on consumer edge devices is throttled by the “Memory Wall”—the prohibitive bandwidth and energy cost of fetching gigabytes of model weights from DRAM for every token generated. Current architectures (GPUs, NPUs) treat model weights as mutable software data, incurring massi...

How Instruction-Tuning Imparts Length Control: A Cross-Lingual Mechanistic Analysis

Longitudinal and Transverse Belong to the Field; x and y Belong to the Coordinates ── rotating the coordinates leaves the longitudinal share at 0.647222222222 without moving a digit, while the x share moves with every rotation ── both are called "splitting the field in two", and only one of them belongs to the field ── [Paper 517]

There are many ways to split a vector field in two. What this paper shows is that which of them belongs to the field and which to the coordinates can be measured by rotating the coordinates. No new theorem or law is claimed. Scope of this paper (scope note): No new theorem or law is claimed──the Helmholtz decomposition...

Spectral SU(3) Gauge Invariant on Four-Dimensional Euclidean Lattices: Wilson Loop Expectation Values, Area Law Confinement, and the Non-Perturbative Mass Gap

Complete lattice computation of Wilson loop expectation values under SU(3) gauge theory on a four-dimensional Euclidean lattice. Establishes color confinement via the area law and extracts the non-perturbative Yang-Mills mass gap of 77.71 MeV from the two-point glueball correlator spectral decomposition. ⚖️ PROPRIETARY...

Goal-Questioning Beyond Explicit Conflict: Latent Conflict Discovery and Re-Dimensioning in CHORDI Meta-Reasoning

As large language models (LLMs) are increasingly used for autonomous decision-making and action support, it becomes important not only for them to achieve a given objective efficiently, but also to question whether that objective should be optimized as stated. This study positions Goal-Questioning as a Meta-Reasoning c...