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arXiv preprints from January 1, 2026 through September 24, 2026 — 01:51:46 EST

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Posted in cs.LG · 2026-01-21 · Fahd Seddik, Abdulrahman Elbedewy, Gaser Sami, Mohamed Abdelmoniem, Yahia Zakaria

Panther: Faster and Cheaper Computations with Randomized Numerical Linear Algebra

Training modern deep learning models is increasingly constrained by GPU memory and compute limits. While Randomized Numerical Linear Algebra (RandNLA) offers proven techniques to compress these models, the lack of a unified, production-grade library prevents widely adopting these methods. We present Panther, a PyTorch-compatible...

💬 0 commentsarXiv:2601.15473v1PDF
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Posted in math.NA · 2026-01-21 · Ricardo Baptista, Andrew Stuart, Son Tran

Large Language Models: A Mathematical Formulation

Large language models (LLMs) process and predict sequences containing text to answer questions, and address tasks including document summarization, providing recommendations, writing software and solving quantitative problems. We provide a mathematical framework for LLMs by describing the encoding of text sequences into sequences of...

💬 0 commentsarXiv:2601.22170v1PDF
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Posted in cs.AR · 2026-01-21 · Mostafa Darvishi

A Hybrid Residue Floating Numerical Architecture with Formal Error Bounds for High Throughput FPGA Computation

Floating point arithmetic is costly on FPGA platforms due to wide datapaths, normalization, and carry propagation, motivating alternative numerical representations that improve throughput and efficiency. This paper presents the Hybrid Residue Floating Numerical Architecture (HRFNA), a fully specified numerical system that combines...

💬 0 commentsarXiv:2603.08712v1PDF
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Posted in cs.HC · 2026-01-21 · Jana Franceska Funke, Mario Sagawa, Georgious Nurcan-Georgiou, Naomi Sagawa, Dennis Dietz, Evgeny Stemasov, Enrico Rukzio, Teresa Hirzle

Put Your Muscle Into It: Introducing XEM2, a Novel Approach for Monitoring Exertion in Stationary Physical Exercises Leveraging Muscle Work

We present a novel system for camera-based measurement and visualization of muscle work based on the Hill-Type-Muscle-Model: the exercise exertion muscle-work monitor (\textit{XEM}$^{2}$). Our aim is to complement and, thus, address issues of established measurement techniques that offer imprecise data for non-uniform movements...

💬 0 commentsarXiv:2601.15472v2PDF
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Posted in eess.SP · 2026-01-21 · Ling He, Vaibhav Kumar, Anastasios Papazafeiropoulos, Miaowen Wen, Le-Nam Tran, Marwa Chafii

Achievable Rate Optimization for Large Flexible Intelligent Metasurface Assisted Downlink MISO under Statistical CSI

The integration of electromagnetic metasurfaces into wireless communications enables intelligent control of the propagation environment. Recently, flexible intelligent metasurfaces (FIMs) have evolved beyond conventional reconfigurable intelligent surfaces (RISs), enabling three-dimensional surface deformation for adaptive wave...

💬 0 commentsarXiv:2601.15471v1PDF
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Posted in cs.DS · 2026-01-21 · Shuchi Chawla, Arnold Filtser, Yoni Trachtenberg, Kristin Sheridan

Bi-Lipschitz extensions and outlier embeddings into trees

We develop low distortion embeddings with outliers from arbitrary metrics into hierarchically separated trees (HSTs). In particular, we develop an efficient algorithm that for any $ε>0$, given an input metric $(X,d)$, and a probabilistic embedding of all but $k$ points from $X$ into HSTs with distortion $c$, samples from a...

💬 0 commentsarXiv:2601.15470v3PDF
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Posted in math.KT · 2026-01-21 · Alina Iacob

Gorenstein flat preenvelopes and weakly Ding injective covers

We consider a (left) coherent ring R. We prove that if the character module of every Ding injective (left) R-module is Gorenstein flat, then the class of Gorenstein flat (right) R-modules, GF, is preenveloping. We show that this is the case when every injective (left) R-module has finite flat dimension. In particular, GF is...

💬 0 commentsarXiv:2601.15469v1PDF
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Posted in cs.LG · 2026-01-21 · Kareem Amin, Alex Bie, Weiwei Kong, Umar Syed, Sergei Vassilvitskii

Learning from Synthetic Data: Limitations of ERM

The prevalence and low cost of LLMs have led to a rise of synthetic content. From review sites to court documents, "natural" content has been contaminated by data points that appear similar to natural data, but are in fact LLM-generated. In this work we revisit fundamental learning theory questions in this, now ubiquitous, setting. We...

💬 0 commentsarXiv:2601.15468v2PDF
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Posted in stat.OT · 2026-01-21 · Heather Battey, Charlotte Edgar

Treatment effect: a critique

Two broad positions within statistics define a treatment effect, on the one hand, as a parameter of a statistical model, and on the other, as an appropriate population-level difference in outcomes or counterfactual outcomes under the different treatment regimes. This short expository paper presents some simple but consequential...

💬 0 commentsarXiv:2601.15467v1PDF
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Posted in cs.HC · 2026-01-21 · Jana Franceska Funke, Ria Matapurkar, Enrico Rukzio, Teresa Hirzle

Shape of You: Implications of Social Context and Avatar Body Shape on Relatedness, Emotions, and Performance in a Virtual Reality Workout

It is obvious that emotions are causal variables of motivation, as they elicit states, forces and energies that trigger and guide labor behavior. Thus, a motivational tension that is not informed by needs alone, but also by emotions, intention, goals and means to achieve them is therefore generated within the mental, emotional and...

💬 0 commentsarXiv:2601.15466v2PDF
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Posted in cs.HC · 2026-01-21 · Mehrnoosh Sadat Shirvani, Jackie Crowley, Cher Peng, Jackie Liu, Thomas Chao, Suky Martinez, Laura Brandt, Ig-Jae Kim, Dongwook Yoon

Cloning the Self for Mental Well-Being: A Framework for Designing Safe and Therapeutic Self-Clone Chatbots

As digital tools increasingly mediate mental health care, self-clone chatbots can offer a uniquely novel approach to intra-personal exploration and self-derived support. Trained to replicate users' conversational patterns, self-clones allow users to talk to themselves through their digital replicas. Despite the promises, these systems...

💬 0 commentsarXiv:2601.15465v1PDF
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Posted in cs.IT · 2026-01-21 · Alessandro Neri, Ferdinando Zullo

Rank-metric codes over arbitrary fields: Bounds and constructions

Rank-metric codes, defined as sets of matrices over a finite field with the rank distance, have gained significant attention due to their applications in network coding and connections to diverse mathematical areas. Initially studied by Delsarte in 1978 and later rediscovered by Gabidulin, these codes have become a central topic in...

💬 0 commentsarXiv:2601.15464v1PDF
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Posted in q-bio.NC · 2026-01-21 · Shoshana Chipman, Brent Doiron

Dynamic Mean Field Theories for Nonlinear Noise in Recurrent Neuronal Networks

Strong, correlated noise in recurrent neural circuits often passes through nonlinear transfer functions, complicating dynamical mean-field analyses of complex phenomena such as transients and bifurcations. We introduce a method that replaces nonlinear functions of Ornstein-Uhlenbeck (OU) noise with a Gaussian-equivalent process...

💬 0 commentsarXiv:2601.15462v1PDF
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Posted in math.AG · 2026-01-21 · Amalendu Krishna, Subhadip Majumder

Brauer groups of varieties over local fields of finite characteristic

We show that the non-log version of Kato's ramification filtration on the Brauer group of a separated and finite type regular scheme over a positive characteristic local field coincides with the evaluation filtration. This extends a recent result of Bright-Newton to positive characteristics. Among several applications, we extend some...

💬 0 commentsarXiv:2601.15461v1PDF
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Posted in astro-ph.CO · 2026-01-21 · Yahia Al-Omar, Majida Nahili, Nidal Chamoun

Constraining nonminimal f(T) gravity from Primordial Nucleosynthesis to Late-Universe observations

We present a multi-epoch test of f(T) gravity with nonminimal torsion-matter coupling, combining early- and late-Universe observations. At the MeV scale, Big-Bang Nucleosynthesis constrains the fractional variation of the weak freeze-out temperature, |δτ_f/τ_f|, thereby mapping light-element abundances into limits on deviations from...

💬 0 commentsarXiv:2601.15460v1PDF
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Posted in cs.RO · 2026-01-21 · Sarvin Ghiasi, Majid Roshanfar, Jake Barralet, Liane S. Feldman, Amir Hooshiar

Neural Minimum-Distance Estimation for Collision-Aware Operation of Multi-Arm Laparoscopy Surgical Robots Through Learning-from-Simulation

This study presents an integrated framework for enhancing the safety and operational efficiency of robotic arms in laparoscopic surgery by addressing minimum distance estimation between multi-arm manipulators and the associated collision-aware warning. By combining analytical modeling, real time simulation, and machine learning, the...

💬 0 commentsarXiv:2601.15459v2PDF
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Posted in cs.CE · 2026-01-21 · Emily G. Light, Morgan Prior, Noah M. Daniels, Najib Ishaq

MuSAlS: A Fast Multiple Sequence Alignment Approach Using Hierarchical Clustering

Motivation: The multiple sequence alignment (MSA) problem has been extensively studied, with numerous approaches developed over recent years. With the rapid growth of sequence data, there is an increasing need for fast and accurate MSA tools that scale effectively to large datasets. Building on our previous work on CLAM, we are able...

💬 0 commentsarXiv:2601.15458v1PDF
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Posted in cs.CL · 2026-01-21 · Anuj Maharjan, Umesh Yadav

Chunking, Retrieval, and Re-ranking: An Empirical Evaluation of RAG Architectures for Policy Document Question Answering

The integration of Large Language Models (LLMs) into the public health policy sector offers a transformative approach to navigating the vast repositories of regulatory guidance maintained by agencies such as the Centers for Disease Control and Prevention (CDC). However, the propensity for LLMs to generate hallucinations, defined as...

💬 0 commentsarXiv:2601.15457v1PDF
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Posted in physics.optics · 2026-01-21 · Scott C. Egbert, Brendan M. Heffernan, James Greenberg, William F. McGrew, Antoine Rolland

Attosecond-timing millimeter waves via Kerr optical frequency division

Millimeter-wave oscillators underpin key applications in communication, spectroscopy, radar, and astronomy, yet their achievable spectral purity remains limited. Approaches that directly generate millimeter-wave carriers are fundamentally limited by quantum and thermal phase-noise processes. Here we show that these limits can be...

💬 0 commentsarXiv:2601.15456v1PDF
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Posted in cs.PL · 2026-01-21 · Patrycja Balik, Szymon Jędras, Piotr Polesiuk

Remarks on Algebraic Reconstruction of Types and Effects

In their 1991 paper "Algebraic Reconstruction of Types and Effects," Pierre Jouvelot and David Gifford presented a type-and-effect reconstruction algorithm based on an algebraic structure of effects. Their work is considered a milestone in the development of type-and-effect systems, and has inspired numerous subsequent works in the...

💬 0 commentsarXiv:2601.15455v1PDF
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Posted in math.CA · 2026-01-21 · Dion Gijswijt. Jan van Neerven

The paper "On the constant in a transference inequality for the vector-valued Fourier transform" revisited

The standard proof of the equivalence of Fourier type on \(\mathbb R^d\) and on the torus \(\mathbb T^d\) is usually stated in terms of an implicit constant which can be expressed in terms of the global minimiser of the functions \[f_r(x)=\sum_{m\in\mathbb{Z}}\left|\frac{\sin(π(x+m))}{π(x+m)}\right|^{2r},\qquad x\in [0,1], \ r\ge 1.\]...

💬 0 commentsarXiv:2601.15454v1PDF
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Posted in cs.CV · 2026-01-21 · Morteza Poudineh, Marc Lalonde

DevPrompt: Deviation-Based Prompt Learning for One-Normal ShotImage Anomaly Detection

Few-normal shot anomaly detection (FNSAD) aims to detect abnormal regions in images using only a few normal training samples, making the task highly challenging due to limited supervision and the diversity of potential defects. Recent approaches leverage vision-language models such as CLIP with prompt-based learning to align image and...

💬 0 commentsarXiv:2601.15453v1PDF
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Posted in astro-ph.HE · 2026-01-21 · Roberto Taverna, Roberto Turolla, Lorenzo Marra, Ruth M. E. Kelly, Alice Borghese, Gian Luca Israel, Sandro Mereghetti, Andrea Possenti, Silvia Zane, Michela Rigoselli

The long quest for vacuum birefringence in magnetars: 1E 1547.0-5408 and the elusive smoking gun

Magnetars are now known to be among the most strongly polarized celestial sources in X-rays. Here we report on the $500\,\mathrm{ks}$ observation of the magnetar 1E 1547.0-5408 performed by the Imaging X-ray Polarimetry Explorer (IXPE) in March 2025. The IXPE spectrum is well reproduced by a single thermal component with blackbody...

💬 0 commentsarXiv:2601.15452v3PDF
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Posted in math.CO · 2026-01-21 · Emily Heath, Coy Schwieder, Shira Zerbib

Generalized Ramsey Numbers in the Hypercube

We study the generalized Ramsey numbers $f(Q_n, C_{k}, q)$, that is, the minimum number of colors needed to edge-color the hypercube $Q_n$ so that every copy of the cycle $C_{k}$ has at least $q$ colors. Our main result is that for any integers $k,q$ satisfying $k \geq 6$ and $3 \leq q \leq k/2+1$, we have $f(Q_n, C_{k}, q)= o\left(...

💬 0 commentsarXiv:2601.15451v1PDF