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Computer Science Preprint PDF DOI

Distributed Santa Claus via Global Rounding

Tijn de Vos, Leo Wennmann, Malte Baumecker, Yannic Maus, Florian Schager · 2026

In this paper, we consider the Santa Claus problem in the CONGEST model. This NP-hard problem can be modeled as a bipartite graph of children and gifts where an edge indicates that a child desires a g…

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Mathematics Preprint PDF DOI

Flat coordinates of Frobenius prepotentials related with the reflection groups of types $H_3$ and $H_4$

Rei Aradachi, Hiromasa Nakayama, Jiro Sekiguchi · 2026

In this article, we first explain a group theoretic interpretation of the derivation of the relation between the flat coordinates of the polynomial prepotential $(H_3)$ and those of the algebraic prep…

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Mathematics Preprint PDF DOI

Explicit density computations for certain sets of primes in Lucas sequences

Joaquim Cera Da Conceicao · 2026

Let $U$ be a Lucas sequence, $p$ be prime, and $\rho_U(p)$ be the rank of appearance of $p$ in $U$. We derive closed-form formulas for the Dirichlet density of primes $p$ for which $d\mid \rho_U(p)$, …

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AI & Data Science Preprint PDF DOI

A Finite Mixture Failure-rate based Heterogeneous Step-stress Accelerated Life Testing (h-SSALT) Model

Pranoy Palit, Ayan Pal, Kiran Prajapat · 2026

Traditional step-stress accelerated life testing models assume that the test units originate from a homogeneous population. Recently, Lu and Kateri (2025) proposed a heterogeneous cumulative exposure …

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AI & Data Science Preprint PDF DOI

LegalBench-BR: A Benchmark for Evaluating Large Language Models on Brazilian Legal Decision Classification

Pedro Barbosa de Carvalho Neto · 2026

We introduce LegalBench-BR, the first public benchmark for evaluating language models on Brazilian legal text classification. The dataset comprises 3,105 appellate proceedings from the Santa Catarina …

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AI & Data Science Preprint PDF DOI

LoRaQ: Optimized Low Rank Approximation for 4-bit Quantization

Yann Bouquet, Alireza Khodamoradi, Sophie Yang Shen, Kristof Denolf, Mathieu Salzmann · 2026

Post-training quantization (PTQ) is essential for deploying large diffusion transformers on resource-constrained hardware, but aggressive 4-bit quantization significantly degrades generative performan…

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Mathematics Preprint PDF DOI

Another factor of integer polynomials with minimal integrals

Alice Bazzanella, Carlo Sanna · 2026

Let $N$ be a positive integer and let $S_N$ be the set of polynomials with integer coefficients, degree less than $N$, and minimal positive integral over $[0,1]$. D. Bazzanella initiated the study of …

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Engineering Preprint PDF DOI

CAVERS: Multimodal SLAM Data from a Natural Karstic Cave with Ground Truth Motion Capture

Giacomo Franchini, David Rodriguez-Martinez, Alfonso Martinez-Petersen, C. J. Perez-del-Pulgar, Marcello Chiaberge · 2026

Autonomous robots operating in natural karstic caves face perception and navigation challenges that are qualitatively distinct from those encountered in mines or tunnels: irregular geometry, reflectiv…

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Physics Preprint PDF DOI

An Undergraduate Course in Quantum Computing

Peter Young · 2026

This is the text for a one quarter or one semester undergraduate course on quantum computing that has been given at the University of California Santa Cruz. It is intended for students in the physical…

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AI & Data Science Preprint PDF DOI

FP4 Explore, BF16 Train: Diffusion Reinforcement Learning via Efficient Rollout Scaling

Yitong Li, Junsong Chen, Shuchen Xue, Pengcuo Zeren, Siyuan Fu, Dinghao Yang, Yangyang Tang, Junjie Bai, Ping Luo, Song Han, Enze Xie · 2026

Reinforcement-Learning-based post-training has recently emerged as a promising paradigm for aligning text-to-image diffusion models with human preferences. In recent studies, increasing the rollout gr…

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AI & Data Science Preprint PDF DOI

CANDI: Curated Test-Time Adaptation for Multivariate Time-Series Anomaly Detection Under Distribution Shift

HyunGi Kim, Jisoo Mok, Hyungyu Lee, Juhyeon Shin, Sungroh Yoon · 2026

Multivariate time-series anomaly detection (MTSAD) aims to identify deviations from normality in multivariate time-series and is critical in real-world applications. However, in real-world deployments…

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Physics Preprint PDF DOI

Site-specific ILC Detector Installation Plan

Karsten Buesser, Thomas Schoerner · 2026

Both ILC detector concepts, ILD and SiD, are very complex machines, the assembly and installation of which in the experimental cavern at the ILC interaction point will be complicated endeavours. These…

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AI & Data Science Preprint PDF DOI

SANA I2I: A Text Free Flow Matching Framework for Paired Image to Image Translation with a Case Study in Fetal MRI Artifact Reduction

Italo Felix Santos, Gilson Antonio Giraldi, Heron Werner Junior · 2026

We propose SANA-I2I, a text-free high-resolution image-to-image generation framework that extends the SANA family by removing textual conditioning entirely. In contrast to SanaControlNet, which combin…

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Mathematics Preprint PDF DOI

Log-concavity from enumerative geometry of planar curve singularities

Tao Su, Baiting Xie, Chenglong Yu · 2026

We propose a log-concavity conjecture for BPS invariants arising in the enumerative geometry of planar curve singularities, identified with the local Euler obstructions of Severi strata in their versa…

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AI & Data Science Preprint PDF DOI

Gated Condition Injection without Multimodal Attention: Towards Controllable Linear-Attention Transformers

Yuhe Liu, Zhenxiong Tan, Yujia Hu, Songhua Liu, Xinchao Wang · 2026

Recent advances in diffusion-based controllable visual generation have led to remarkable improvements in image quality. However, these powerful models are typically deployed on cloud servers due to th…

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Physics Preprint PDF DOI

Coevolutionary dynamics of cooperation, risk, and cost in collective risk games

Lichen Wang, Shijia Hua, Yuyuan Liu, Liang Zhang, Linjie Liu, Attila Szolnoki · 2026

Addressing both natural and societal challenges requires collective cooperation. Studies on collective-risk social dilemmas have shown that individual decisions are influenced by the perceived risk of…

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Physics Preprint PDF DOI

A Non-parametric Method for the Inference of Halo Occupation Distributions

Jacob Kennedy, Eric Gawiser, Kartheik G. Iyer, L.Y. Aaron Yung · 2026

The galaxy-halo connection traces processes by which galaxies form and evolve. The halo occupation distribution (HOD) describes the relationship between galaxies and their host dark matter haloes. Mea…

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Physics Preprint PDF DOI

A numerical framework for Newtonian-noise estimation at the Einstein Telescope: 2-D simulations beyond the plane-wave approximation

Patrick Schillings, Shi Yao, Johannes Erdmann, Andreas Rietbrock · 2026

The Einstein Telescope (ET) is a third-generation underground gravitational-wave observatory designed to extend the detection sensitivity down to a few Hertz. Newtonian noise is expected to limit the …

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Computer Science Preprint PDF DOI

Approximation Algorithms for Action-Reward Query-Commit Matching

Mahsa Derakhshan, Andisheh Ghasemi, Calum MacRury · 2026

Matching problems under uncertainty arise in applications such as kidney exchange, hiring, and online marketplaces. A decision-maker must sequentially explore potential matches under local exploration…

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Mathematics Preprint PDF DOI

On the ubiquity of uniformly dominant local rings

Toshinori Kobayashi, Ryo Takahashi · 2026

Let R be a d-dimensional Cohen-Macaulay complete local ring with infinite residue field k. The dominant index $\operatorname{dx}(R)$ is by definition the least number of extensions necessary to build …

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