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Mathematics Preprint PDF DOI

The Magnitude of Dominated Sets: A Pareto Compliant Indicator Grounded in Metric Geometry

Michael T.M. Emmerich · 2026

We investigate \emph{magnitude} as a new unary and strictly Pareto-compliant quality indicator for finite approximation sets to the Pareto front in multiobjective optimization. Magnitude originates in…

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AI & Data Science Preprint PDF DOI

Causal Fairness Analysis of ADHD Status and High School STEM Outcomes

Shuhan Ai · 2026

This study applies the Causal Fairness Analysis (CFA) framework of Plecko and Bareinboim (2024) to decompose the total variation in STEM outcomes attributable to ADHD status into direct, indirect, and…

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AI & Data Science Preprint PDF DOI

EquiformerV3: Scaling Efficient, Expressive, and General SE(3)-Equivariant Graph Attention Transformers

Yi-Lun Liao, Alexander J. Hoffman, Sabrina C. Shen, Alexandre Duval, Sam Walton Norwood, Tess Smidt · 2026

As $SE(3)$-equivariant graph neural networks mature as a core tool for 3D atomistic modeling, improving their efficiency, expressivity, and physical consistency has become a central challenge for larg…

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Computer Science Preprint PDF DOI

High-Dimensional Signal Compression: Lattice Point Bounds and Metric Entropy

A. Iosevich, A. Vagharshakyan, E. Wyman · 2026

We study worst-case signal compression under an $\ell^2$ energy constraint, with coordinate-dependent quantization precisions. The compression problem is reduced to counting lattice points in a diagon…

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Engineering Preprint PDF DOI

DenOiS: Dual-Domain Denoising of Observation and Solution in Ultrasound Image Reconstruction

Can Deniz Bezek, Orcun Goksel · 2026

Medical imaging aims to recover underlying tissue properties, using inexact (simplified/linearized) imaging models and often from inaccurate and incomplete measurements. Analytical reconstruction meth…

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Mathematics Preprint PDF DOI

Information Geometry via the Q-Root Transform

Levin Maier · 2026

In this paper, we introduce \emph{$\ell^p$-information geometry}, an infinite-dimensional framework that shares key features with the geometry of the space of probability densities \( \mathrm{Dens}(M)…

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Physics Preprint PDF DOI

Cryptanalysis of four arbitrated quantum signature schemes

Pierre-Alain Jacqmin, Jean Lienardy · 2026

Arbitrated quantum signature (AQS) schemes aim at ensuring the authenticity of a message with the help of an arbitrator. Moreover, they aim at preventing repudiation, both from a sender that denies th…

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Mathematics Preprint PDF DOI

Mahler's method and Carlitz logarithm

Guillaume Estienne · 2026

In 2007, Papanikolas established that if Carlitz logarithms of algebraic functions are linearly independent over the rational function field, then they are algebraically independent. The purpose of th…

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AI & Data Science Preprint PDF DOI

The Consciousness Cluster: Emergent preferences of Models that Claim to be Conscious

James Chua, Jan Betley, Samuel Marks, Owain Evans · 2026

There is debate about whether LLMs can be conscious. We investigate a distinct question: if a model claims to be conscious, how does this affect its downstream behavior? This question is already pract…

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Mathematics Preprint PDF DOI

Equivariant localizing motives and multiplicative norms on algebraic K-theory

Kaif Hilman, Maxime Ramzi · 2026

We construct multiplicative norms on equivariant nonconnective algebraic $K$-theory for finite groups $G$. We also construct a genuine equivariant version of THH equipped with a Dennis trace map from …

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Physics Preprint PDF DOI

A Robust Compressible APIC/FLIP Particle Grid Method with Conservative Resampling and Adaptive APIC/PIC Blending

Jiansheng Yao, Yingkui Zhao · 2026

Modeling inviscid compressible flows with shocks and vortex dominated dynamics remains challenging for particle grid methods due to moving discontinuities, cell crossing noise, and quadrature degradat…

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AI & Data Science Preprint PDF DOI

One step further with Monte-Carlo sampler to guide diffusion better

Minsi Ren, Wenhao Deng, Ruiqi Feng, Tailin Wu · 2026

Stochastic differential equation (SDE)-based generative models have achieved substantial progress in conditional generation via training-free differentiable loss-guided approaches. However, existing m…

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Mathematics Preprint PDF DOI

Unconditional Density Bounds for Quadratic Norm-Form Energies via Lorentzian Spectral Weights

Peter Shiller · 2026

For a real quadratic field $\mathbb{Q}(\sqrt{d})$, we study the norm-form energy $N = S_\zeta^2 - d \cdot S_L^2$, where $S_\zeta$ and $S_L$ are Lorentzian-weighted zero sums with $w(\rho) = 2/(\tfrac{…

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Physics Preprint PDF DOI

Detection of circumstellar disks around nearby young brown dwarf candidates

N. Phan-Bao, M.S. Bessell, E.L. Martin · 2026

It is important to detect and study circumstellar disks around late-M and brown dwarfs of nearby young associations to understand how these very low-mass objects form and how rocky planets form around…

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AI & Data Science Preprint PDF DOI

Latent Introspection: Models Can Detect Prior Concept Injections

Theia Pearson-Vogel, Martin Vanek, Raymond Douglas, Jan Kulveit · 2026

We uncover a latent capacity for introspection in a Qwen 32B model, demonstrating that the model can detect when concepts have been injected into its earlier context and identify which concept was inj…

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Physics Preprint PDF DOI

Gabor Holography Reinvented

Jesper Gluckstad · 2026

This paper presents a "reinvention" of Gabor Holography that does not suffer optically from the inherent twin-image problem originating back to Gabor's original Nobel Prize awarded invention. In-line …

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Mathematics Preprint PDF DOI

Packings in classical Banach spaces

Carlo Alberto De Bernardi, Tommaso Russo, Seyda Sezgek, Jacopo Somaglia · 2026

We obtain several new results on the simultaneous packing and covering constant $\gamma(\mathcal{X})$ of a Banach space $\mathcal{X}$, and its lattice counterpart $\gamma^*(\mathcal{X})$. These consta…

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Physics Preprint PDF DOI

The supernova remnant J0450.4-7050 possesses a jets-shaped point-symmetric morphology

Noam Soker (Technion, Israel) · 2026

By examining recently published images in different wavelengths, I identify a point-symmetric morphology in the Large Magellanic Cloud core-collapse supernova (CCSN) remnant (CCSNR) J0450.4-7050 (SNR …

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AI & Data Science Preprint PDF DOI

Plug-In Classification of Drift Functions in Diffusion Processes Using Neural Networks

Yuzhen Zhao, Jiarong Fan, Yating Liu · 2026

We study a supervised multiclass classification problem for diffusion processes, where each class is characterized by a distinct drift function and trajectories are observed at discrete times. Extendi…

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AI & Data Science Preprint PDF DOI

Organismal Agency and Rapid Adaptation: The Phenopoiesis Algorithm for Phenotype-First Evolution

Nam H. Le · 2026

Evolutionary success depends on the capacity to adapt: organisms must respond to environmental challenges through both genetic innovation and lifetime learning. The gene-centric paradigm attributes ev…

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