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arXiv preprints from January 1, 2026 through September 25, 2026 — 07:33:46 EST

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Posted in stat.AP · 2026-01-07 · David Randahl, Anders Hjort, Jonathan P. Williams

pintervals: an R package for model-agnostic prediction intervals

The \pkg{pintervals} package aims to provide a unified framework for constructing prediction intervals and calibrating predictions in a model-agnostic setting using set-aside calibration data. It comprises routines to construct conformal as well as parametric and bootstrapped prediction intervals from any model that outputs point...

💬 0 commentsarXiv:2601.03994v1PDF
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Posted in cs.CV · 2026-01-07 · Junle Liu, Peirong Zhang, Yuyi Zhang, Pengyu Yan, Hui Zhou, Xinyue Zhou, Fengjun Guo, Lianwen Jin

PosterVerse: A Full-Workflow Framework for Commercial-Grade Poster Generation with HTML-Based Scalable Typography

Commercial-grade poster design demands the seamless integration of aesthetic appeal with precise, informative content delivery. Current automated poster generation systems face significant limitations, including incomplete design workflows, poor text rendering accuracy, and insufficient flexibility for commercial applications. To...

💬 0 commentsarXiv:2601.03993v1PDF
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Posted in cs.DC · 2026-01-07 · Qi Wu, Chao Fang, Jiayuan Chen, Ye Lin, Yueqi Zhang, Yichuan Bai, Yuan Du, Li Du

A Scheduling Framework for Efficient MoE Inference on Edge GPU-NDP Systems

Mixture-of-Experts (MoE) models facilitate edge deployment by decoupling model capacity from active computation, yet their large memory footprint drives the need for GPU systems with near-data processing (NDP) capabilities that offload experts to dedicated processing units. However, deploying MoE models on such edge-based GPU-NDP...

💬 0 commentsarXiv:2601.03992v1PDF
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Posted in nucl-ex · 2026-01-07 · Prottay Das, Ajay Kumar Dash, Sandeep Dudi, Sourav Kundu, Dukhishyam Mallick, Bedangadas Mohanty, Md Nasim, Kishora Nayak, Aswini Kumar Sahoo, Subhash Singha, Ranbir Singh

Light-Flavour Resonance Production in High-Energy Heavy-Ion Collisions: An Experimental Review

Resonances provide sensitivity to the late-stage dynamics of heavy-ion collisions, as their lifetimes are comparable to the duration of the hadronic phase. This review summarizes state-of-the-art measurements of light-flavour mesonic and baryonic resonances, including $ρ$(770), $K^{\star}$(892), $φ$(1020), $Δ$(1232),...

💬 0 commentsarXiv:2601.03991v1PDF
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Posted in math.GM · 2026-01-07 · Barmak Honarvar Shakibaei Asli

An Explicit Near-Conjugacy Between the Collatz Map and a Circle Rotation

We introduce an explicit logarithmic transformation $T(x) = \{\log_6(x + 1/5)\}$ under which the Collatz map becomes a rigid circle rotation by the irrational angle \(α= \log_6 3\), perturbed by a uniformly bounded error term. We prove that for all positive integers \(x\), $T(C(x)) = T(x) + α+ \varepsilon(x) \pmod{1}$, where...

💬 0 commentsarXiv:2601.04289v1PDF
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Posted in astro-ph.EP · 2026-01-07 · Albino Carbognani, Marco Fenucci, Toni Santana-Ros, Clara E. Martínez-Vázquez, Marco Micheli

Investigation of the dynamics and origin of the NEA pair 2021 PH27 and 2025 GN1

We analyse the association between the NEAs 2021 PH27 and 2025 GN1, which share similar heliocentric Keplerian elements and the same taxonomic classification. First, we confirm the spectral similarity by getting independent colours measurements of 2025 GN1 and confirming that they are both X-type. From numerical integration of the...

💬 0 commentsarXiv:2601.03990v1PDF
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Posted in cond-mat.supr-con · 2026-01-07 · Sara Memarzadeh, Maciej Krawczyk, Armen Gulian, Jaroslaw W. Klos

Anisotropic second-harmonic generation in superconducting nanostructures

Circuits based on superconducting nanostructures are among the most promising platforms for quantum computing. Understanding how device geometry governs nonlinear electrodynamics is crucial for implementing superconducting quantum technologies. However, to date, research has largely been limited to superconducting nanostructures with...

💬 0 commentsarXiv:2601.03989v1PDF
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Posted in cs.SE · 2026-01-07 · Nicolas Lacroix, Mireille Blay-Fornarino, Sébastien Mosser, Frederic Precioso

Using Small Language Models to Reverse-Engineer Machine Learning Pipelines Structures

Background: Extracting the stages that structure Machine Learning (ML) pipelines from source code is key for gaining a deeper understanding of data science practices. However, the diversity caused by the constant evolution of the ML ecosystem (e.g., algorithms, libraries, datasets) makes this task challenging. Existing approaches...

💬 0 commentsarXiv:2601.03988v1PDF
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Posted in math.CA · 2026-01-07 · Michel Alexis, Lars Becker, Diogo Oliveira e Silva, Christoph Thiele

An SU(2n)-valued nonlinear Fourier transform

We define a nonlinear Fourier transform which maps sequences of contractive $n \times n$ matrices to $SU(2n)$-valued functions on the circle $\mathbb{T}$. We characterize the image of finitely supported sequences and square-summable sequences on the half-line, and construct an inverse for $SU(2n)$-valued functions whose diagonal $n...

💬 0 commentsarXiv:2601.03987v2PDF
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Posted in cs.CL · 2026-01-07 · Qi Qian, Chengsong Huang, Jingwen Xu, Changze Lv, Muling Wu, Wenhao Liu, Xiaohua Wang, Zhenghua Wang, Zisu Huang, Muzhao Tian, Jianhan Xu, Kun Hu, He-Da Wang, Yao Hu, Xuanjing Huang, Xiaoqing Zheng

Benchmark^2: Systematic Evaluation of LLM Benchmarks

The rapid proliferation of benchmarks for evaluating large language models (LLMs) has created an urgent need for systematic methods to assess benchmark quality itself. We propose Benchmark^2, a comprehensive framework comprising three complementary metrics: (1) Cross-Benchmark Ranking Consistency, measuring whether a benchmark...

💬 0 commentsarXiv:2601.03986v1PDF
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Posted in math.AT · 2026-01-07 · Daria Pavlova

Boardman-Vogt tensor product and wreath product of operadic categories

We introduce the wreath product for a class of operadic categories and use it to construct an explicit isomorphism between the Boardman-Vogt tensor product of two colored operads in Set and an operad induced by the wreath product of operadic Grothendieck constructions of the respective operads. We also describe how the wreath product...

💬 0 commentsarXiv:2601.03985v2PDF
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Posted in cs.LG · 2026-01-07 · Anmol Guragain

Attention Isn't All You Need for Emotion Recognition:Domain Features Outperform Transformers on the EAV Dataset

We present a systematic study of multimodal emotion recognition using the EAV dataset, investigating whether complex attention mechanisms improve performance on small datasets. We implement three model categories: baseline transformers (M1), novel factorized attention mechanisms (M2), and improved CNN baselines (M3). Our experiments...

💬 0 commentsarXiv:2601.22161v2PDF
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Posted in cs.CL · 2026-01-07 · Yuechen Jiang, Zhiwei Liu, Yupeng Cao, Yueru He, Ziyang Xu, Chen Xu, Zhiyang Deng, Prayag Tiwari, Xi Chen, Alejandro Lopez-Lira, Jimin Huang, Junichi Tsujii, Sophia Ananiadou

All That Glisters Is Not Gold: A Benchmark for Reference-Free Counterfactual Financial Misinformation Detection

We introduce RFC Bench, a benchmark for evaluating large language models on financial misinformation under realistic news. RFC Bench operates at the paragraph level and captures the contextual complexity of financial news where meaning emerges from dispersed cues. The benchmark defines two complementary tasks: reference free...

💬 0 commentsarXiv:2601.04160v3PDF
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Posted in cs.CV · 2026-01-07 · Vladimir Frants, Sos Agaian, Karen Panetta

ToTMNet: FFT-Accelerated Toeplitz Temporal Mixing Network for Lightweight Remote Photoplethysmography

Remote photoplethysmography (rPPG) estimates a blood volume pulse (BVP) waveform from facial videos captured by commodity cameras. Although recent deep models improve robustness compared to classical signal-processing approaches, many methods increase computational cost and parameter count, and attention-based temporal modeling...

💬 0 commentsarXiv:2601.04159v1PDF
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Posted in astro-ph.SR · 2026-01-07 · Kelvin Wandia, Michael A. Garrett, Aaron Golden, Gregg Hallinan, David Williams-Baldwin, Geferson Lucatelli, Robert J. Beswick, Jack F. Radcliffe, Andrew Siemion, Talon Myburgh

Radio Activity from the Rapidly Rotating T dwarf 2MASS 2228-4310

We present the detection of 2MASS J22282889-4310262 (2M2228), a T6/T6.5 brown dwarf, using the Karl G. Jansky Very Large Array (VLA) archival data observed at C band (4-8 GHz) over two observing epochs ($2\times96$ minutes). 2M2228 is detected at time and frequency averaged Stokes I and V peak flux densities of $67.3\pm4.9\ μ \rm{Jy...

💬 0 commentsarXiv:2601.04158v1PDF
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Posted in cs.CL · 2026-01-07 · Adar Avsian, Christopher Richardson, Anirudh Sundar, Larry Heck

FLEx: Language Modeling with Few-shot Language Explanations

Language models have become effective at a wide range of tasks, from math problem solving to open-domain question answering. However, they still make mistakes, and these mistakes are often repeated across related queries. Natural language explanations can help correct these errors, but collecting them at scale may be infeasible,...

💬 0 commentsarXiv:2601.04157v2PDF
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Posted in astro-ph.HE · 2026-01-07 · David A. Coulter, Conor Larison, Justin D. R. Pierel, Seiji Fujimoto, Vasily Kokorev, Joseph F. V. Allingham, Takashi J. Moriya, Matthew Siebert, Yoshihisa Asada, Rachel Bezanson, Maruša Bradač, Gabriel Brammer, John Chisholm, Dan Coe, Pratika Dayal, Michael Engesser, Steven L. Finkelstein, Ori D. Fox, Lukas J. Furtak, Anton M. Koekemoer, Thomas Moore, Minami Nakane, Masami Ouchi, Richard Pan, Robert Quimby, Armin Rest, Johan Richard, Luke Robbins, Louis-Gregory Strolger, Fengwu Sun, Tommaso Treu, Hiroto Yanagisawa, Abdurro'uf, Aadya Agrawal, Ricardo Amorín, Joseph P. Anderson, Rodrigo Angulo, Hakim Atek, Franz E. Bauer, Larry D. Bradley, Volker Bromm, Mateusz Bronikowski, Christopher J. Conselice, Christa DeCoursey, James M. DerKacy, Guillaume Desprez, Suhail Dhawan, Jose M. Diego, Eiichi Egami, Andreas Faisst, Brenda Frye, Sebastian Gomez, Mauro González-Otero, Massimo Griggio, Yuichi Harikane, Kohei Inayoshi, Saurabh W. Jha, Yolanda Jiménez-Teja, Jeyhan S. Kartaltepe, Patrick L. Kelly, Lindsey A. Kwok, Zachary G. Lane, Xiaolong Li, Ivo Lobbe, Paulo A. A. Lopes, Ray A. Lucas, Georgios E. Magdis, Nicholas S. Martis, Jorryt Matthee, Ashish K. Meena, Rohan P. Naidu, Gaël Noirot, Masamune Oguri, Estefania Padilla Gonzalez, Massimo Pascale, Tanja Petrushevska, Massimo Ricotti, Daniel Schaerer, Stefan Schuldt, Melissa Shahbandeh, William Sheu, Koji Shukawa, Akiyoshi Tsujita, Eros Vanzella, Qinan Wang, John Weaver, Robert Williams, Rogier Windhorst, Yi Xu, Yossef Zenati, Adi Zitrin

A spectroscopically confirmed, strongly lensed, metal-poor Type II supernova at z = 5.13

Observing supernovae (SNe) in the early Universe (z > 3) provides a window into how both galaxies and individual stars have evolved over cosmic time, yet a detailed study of high-redshift stars and SNe has remained difficult due to their extreme distances and cosmological redshifting. To overcome the former, searches for...

💬 0 commentsarXiv:2601.04156v2PDF
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Posted in cs.CV · 2026-01-07 · Chenye Meng, Zejian Li, Zhongni Liu, Yize Li, Changle Xie, Kaixin Jia, Ling Yang, Huanghuang Deng, Shiying Ding, Shengyuan Zhang, Jiayi Li, Lingyun Sun

Beyond Binary Preference: Aligning Diffusion Models to Fine-grained Criteria by Decoupling Attributes

Post-training alignment of diffusion models relies on simplified signals, such as scalar rewards or binary preferences. This limits alignment with complex human expertise, which is hierarchical and fine-grained. To address this, we first construct a hierarchical, fine-grained evaluation criteria with domain experts, which decomposes...

💬 0 commentsarXiv:2601.04300v1PDF
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Posted in cond-mat.dis-nn · 2026-01-07 · Dafne Prado Bandeira, Marco Tarzia

Anderson Localization on Husimi Trees and its implications for Many-Body localization

Motivated by the analogy between many-body localization (MBL) and single-particle Anderson localization on hierarchical graphs, we study localization on the Husimi tree, a generalization of the Bethe lattice with a finite density of local loops of arbitrary but finite length. The exact solution of the model provides a transparent and...

💬 0 commentsarXiv:2601.04155v3PDF
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Posted in cond-mat.soft · 2026-01-07 · Nolan A. Miller, Laura C. Bradley, Alfred J. Crosby

Modulus and confinement effects on self-repeating, power-amplified snapping of soft, swollen beams

Latch-mediated Spring Actuation (LaMSA) is a mechanism found in nature, employed by organisms that generate the highest levels of power density through repeatable, rapid energy release. While LaMSA has been used in engineered systems like archery bows, catapults, and jumping robots, most such technologies require external power for...

💬 0 commentsarXiv:2601.04154v1PDF
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Posted in cs.CV · 2026-01-07 · Yifan Wang, Yanyu Li, Gordon Guocheng Qian, Sergey Tulyakov, Yun Fu, Anil Kag

Diffusion-DRF: Free, Rich, and Differentiable Reward for Video Diffusion Fine-Tuning

Video diffusion alignment has been heavily relied on scalar rewards. These rewards are typically derived from learned reward models in human preference datasets, requiring additional training and extensive collection. Moreover, scalar rewards provide coarse, global supervision, offering limited prompt-generation mismatch credit...

💬 0 commentsarXiv:2601.04153v2PDF
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Posted in gr-qc · 2026-01-07 · Kanabar Jay, Kharanshu N. Solanki, Pankaj S. Joshi

Obstructions to global visibility of singularities in asymptotically flat spacetimes

Consider an $(N+1)$-dimensional asymptotically flat spacetime and a future-directed, affinely parametrized outgoing null generator $γ$ of an achronal boundary $\partial J^+(S_\varepsilon)$, where $\{S_\varepsilon\}$ is a nested family of smooth compact codimension $2$ surfaces approaching a singular boundary set $S$ in the past. In...

💬 0 commentsarXiv:2601.04152v1PDF
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Posted in cs.CV · 2026-01-07 · Jun Wang, Chunyu Qiang, Yuxin Guo, Yiran Wang, Xijuan Zeng, Feng Deng

Apollo: Unified Multi-Task Audio-Video Joint Generation

Audio-video joint generation has progressed rapidly, yet substantial challenges still remain. Non-commercial approaches still suffer audio-visual asynchrony, poor lip-speech alignment, and unimodal degradation, which can be stemmed from weak audio-visual correspondence modeling, limited generalization, and scarce high-quality...

💬 0 commentsarXiv:2601.04151v2PDF
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Posted in econ.TH · 2026-01-07 · Ricardo Martinez, Juan D. Moreno-Ternero

The geometric adjudication of water rights in international rivers

We study the adjudication of water rights in international rivers. We characterize allocation rules that formalize focal principles to deal with water disputes in a basic model. Central to our analysis is a family of geometric rules that implement concatenated transfers downstream. They can be seen as formalizing Limited Territorial...

💬 0 commentsarXiv:2601.04150v1PDF