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arXiv preprints from January 1, 2026 through September 27, 2026 — 12:41:00 EST

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Posted in cs.CL · 2026-01-05 · Kris W Pan, Yongmin Yoo

FlowPlan-G2P: A Structured Generation Framework for Transforming Scientific Papers into Patent Descriptions

Generating patent descriptions from scientific papers is challenging due to fundamental rhetorical and structural disparities between the two genres. Existing approaches treat this as surface-level rewriting, failing to capture the hierarchical reasoning and statutory constraints inherent in patent drafting. We propose FlowPlan-G2P, a...

💬 0 commentsarXiv:2601.02589v4PDF
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Posted in physics.plasm-ph · 2026-01-05 · B. Z. Djordjević, D. J. Strozzi, G. B. Zimmerman, S. A. MacLaren, C. R. Weber, D. D. -M. Ho, L. S. Leal, C. A. Walsh, J. D. Moody

Integrated Radiation-Magneto-Hydrodynamic Simulations of Magnetized Burning Plasmas. I. Magnetizing Ignition-Class Designs

Motivated by breakthroughs in inertial confinement fusion (ICF), first achieving ignition conditions in National Ignition Facility (NIF) shot N210808 and then laser energy breakeven in N221204, modeling efforts here investigate the effect of imposed magnetic fields on integrated hohlraum simulations of igniting systems. Previous NIF...

💬 0 commentsarXiv:2601.02588v2PDF
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Posted in physics.bio-ph · 2026-01-05 · Enso O. Torres Alegre

Evolutionary tuning of TAM receptor-ligand interfaces highlights electrostatic features associated with regenerative phagocytic signaling

Efficient resolution of neuroinflammation and debris clearance is a key determinant of successful central nervous system regeneration. Regenerative vertebrates such as Danio rerio often exhibit faster immune resolution and debris clearance than mammals, yet the molecular determinants underlying these differences remain incompletely...

💬 0 commentsarXiv:2601.08855v1PDF
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Posted in hep-ph · 2026-01-05 · Yang Yu, Peng Cheng, Hui-Yu Xing, Daniele Binosi, Craig D. Roberts

Helicity Dependent Distribution Functions of the Proton and $Λ$ and $Σ^0$ Baryons

Using continuum Schwinger function methods, a coherent set of predictions for proton, $Λ$ and $Σ^0$ distribution functions (DFs) has been made available -- both helicity dependent and unpolarised. The results and comparisons between them reveal impacts of diquark correlations and SU$(3)$-flavour symmetry breaking, some of which are...

💬 0 commentsarXiv:2601.02587v1PDF
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Posted in cs.SD · 2026-01-05 · Daeun Hwang, Hyeonbin Hwang

Understanding Human Perception of Music Plagiarism Through a Computational Approach

There is a wide variety of music similarity detection algorithms, while discussions about music plagiarism in the real world are often based on audience perceptions. Therefore, we aim to conduct a study to examine the key criteria of human perception of music plagiarism, focusing on the three commonly used musical features in...

💬 0 commentsarXiv:2601.02586v1PDF
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Posted in cs.LG · 2026-01-05 · Naomi Fridman, Berta Ben Shachar

A Foundation Model Approach for Fetal Stress Prediction During Labor From cardiotocography (CTG) recordings

Intrapartum cardiotocography (CTG) is widely used for fetal monitoring during labor, yet its interpretation suffers from high inter-observer variability and limited predictive accuracy. Deep learning approaches have been constrained by the scarcity of CTG recordings with clinical outcome labels. We present the first application of...

💬 0 commentsarXiv:2601.06149v1PDF
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Posted in math.NT · 2026-01-05 · Benoit Cloitre

The holonomic triangle: from a symmetry between $e$ and $π$ to additive Gamma functions

Two linear recurrences exhibit mirror symmetry connecting the constants $e$ and $π$. When parametrized, their asymptotic connection constants extend to meromorphic functions satisfying additive functional equations with rational coefficients. We call such functions additive Gamma functions (AGFs), recognizing Euler's $Γ(z)$ as the...

💬 0 commentsarXiv:2601.04242v1PDF
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Posted in eess.SY · 2026-01-05 · Otman Basir

AI Social Responsibility as Reachability: Execution-Level Semantics for the Social Responsibility Stack

Artificial intelligence systems are increasingly embedded as persistent, closed-loop components within cyber-physical, social, and institutional processes. Rather than producing isolated outputs, such systems operate continuously under feedback, adaptation, and scale, reshaping physical flows, human behavior, and institutional...

💬 0 commentsarXiv:2601.02585v1PDF
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Posted in nlin.CD · 2026-01-05 · Zhenwei Xu, Ulrich Kuhl, Nicolas Noiray

Dynamic Synchronization of Driven Self-Oscillators: Modeling and Experiment

Synchronization of self-sustained oscillators under fixed-frequency and amplitude forcing is well understood, but how time-varying forcing mangles phase locking has been much less explored. Theory predicts that slow, deterministic modulation of the drive amplitude or frequency can lead to a peculiar synchronization regime...

💬 0 commentsarXiv:2601.02584v1PDF
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Posted in stat.ME · 2026-01-05 · Xiangyu Zhang, Lijun Wang, Changjun Li, Chen Lin, Hongyu Zhao

Improve Power of Knockoffs with Annotation Information of Covariates

Genome-wide association studies (GWAS) often find association signals between many genetic variants and traits of interest in a genomic region. Functional annotations of these variants provide valuable prior information that helps prioritize biologically relevant variants and enhances the power to detect causal variants. However, due...

💬 0 commentsarXiv:2601.02583v1PDF
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Posted in math.CO · 2026-01-05 · Matthew Baker, Tong Jin, Oliver Lorscheid

A modern perspective on Tutte's homotopy theorem

We begin with a review of Tutte's homotopy theory, which concerns the structure of certain graph associated to a matroid (together with some extra data). Concretely, Tutte's path theorem asserts that this graph is connected, and his homotopy theorem asserts that every cycle in the graph is a composition of ''elementary cycles'', which...

💬 0 commentsarXiv:2601.02582v2PDF
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Posted in physics.app-ph · 2026-01-05 · Caroline M. Barotta, Jack-William Barotta

The physics of cranberry bogs

The common New England sight of a cranberry bog presents a rich tapestry of fluid dynamics and soft matter phenomena. Here, we present four connected problems exploring the behavior of cranberries in their stages of harvest: the buoyant rise of a cranberry in a flooded bog, the stable floating configuration of a cranberry on the...

💬 0 commentsarXiv:2601.11593v1PDF
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Posted in math.RA · 2026-01-05 · Martin Helmer, David Hong, Hoon Hong

Certificate for Orthogonal Equivalence of Real Polynomials by Polynomial-Weighted Principal Component Analysis

Suppose that $f(x) \in \mathbb{R}[x_1,\dots, x_n]$ and $g(x) \in \mathbb{R}[x_1,\dots, x_n]$ are two real polynomials of degree $d$ in $n$ variables. If the polynomials $f$ and $g$ are the same up to orthogonal symmetry a natural question is then what element of the orthogonal group induces the orthogonal symmetry; i.e. to find the...

💬 0 commentsarXiv:2601.06148v1PDF
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Posted in cs.LG · 2026-01-05 · Aditi Sanjay Agrawal

Threat Detection in Social Media Networks Using Machine Learning Based Network Analysis

The accelerated development of social media websites has posed intricate security issues in cyberspace, where these sites have increasingly become victims of criminal activities including attempts to intrude into them, abnormal traffic patterns, and organized attacks. The conventional rule-based security systems are not always...

💬 0 commentsarXiv:2601.02581v1PDF
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Posted in cs.CL · 2026-01-05 · Christopher Ormerod

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models

Traditional methods for determining assessment item parameters, such as difficulty and discrimination, rely heavily on expensive field testing to collect student performance data for Item Response Theory (IRT) calibration. This study introduces a novel approach that implicitly models these psychometric properties by fine-tuning Large...

💬 0 commentsarXiv:2601.02580v1PDF
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Posted in astro-ph.GA · 2026-01-05 · Seneca K. H. Bahr, Aleksandr V. Mosenkov, Jacob A. Guerrette, Isaac H. Jensen, Jonah X. George, Thea E. Spigarelli, Ryan P. Smith, Brandon T. Burton, Kevan W. Beckstead, Jonah D. Seguine, Harrison K. Casper, Nefi Pineda, Michael Holland

COUGS-DESI: A Catalog of Unusual Galaxies with Polar Structures in the DESI Legacy Imaging Surveys

Polar-structure galaxies (PSGs) host photometrically and kinematically decoupled components oriented at large angles to one another. These systems, which include polar rings, polar disks, polar halos, polar bulges, polar dust lanes, and polar tidal structures, provide valuable insights into galaxy formation and evolution, although...

💬 0 commentsarXiv:2601.02579v3PDF
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Posted in cs.AI · 2026-01-05 · Alexander Roman, Jacob Roman

Orchestral AI: A Framework for Agent Orchestration

The rapid proliferation of LLM agent frameworks has forced developers to choose between vendor lock-in through provider-specific SDKs and complex multi-package ecosystems that obscure control flow and hinder reproducibility. Integrating tool calling across multiple LLM providers remains a core engineering challenge due to fragmented...

💬 0 commentsarXiv:2601.02577v1PDF
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Posted in astro-ph.IM · 2026-01-05 · David Rousso, Moritz Bjoern Kristiansson Kunze, Christoph Reinhardt

Optomechanical platform for high-frequency gravitational wave and vector dark matter detection

We present a proposal for a nanomechanical membrane resonator integrated into a moderate-finesse ($\mathcal{F}\sim 10$) optical cavity as a versatile platform for detecting high-frequency gravitational waves and vector dark matter. Gravitational-wave sensitivity arises from cavity-length modulation, which resonantly drives membrane...

💬 0 commentsarXiv:2601.02576v1PDF
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Posted in physics.geo-ph · 2026-01-05 · Valeria Villa, Robert W. Clayton, Patricia Persaud

Receiver Functions in the San Fernando Valley, California: Graph-Regularized Bayesian Approach for Gravity-Informed Mapping

The San Fernando Valley (SFV) in Southern California is a complex sedimentary basin whose shape strongly influences ground shaking. We develop a fully quantitative, probabilistic graph-regularized inference model that integrates both gravity and receiver function (RF) constraints and evaluate its ability to determine the basin's...

💬 0 commentsarXiv:2601.02575v1PDF
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Posted in cs.CL · 2026-01-05 · Haoran Wang, Maryam Khalid, Qiong Wu, Jian Gao, Cheng Cao

Fact-Checking with Large Language Models via Probabilistic Certainty and Consistency

Large language models (LLMs) are increasingly used in applications requiring factual accuracy, yet their outputs often contain hallucinated responses. While fact-checking can mitigate these errors, existing methods typically retrieve external evidence indiscriminately, overlooking the model's internal knowledge and potentially...

💬 0 commentsarXiv:2601.02574v1PDF
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Posted in cs.LG · 2026-01-05 · Kiarash Shamsi, Danijel Novokmet, Joshua Peters, Mao Lin Liu, Paul K Edwards, Vahab Khoshdel

LendNova: Towards Automated Credit Risk Assessment with Language Models

Credit risk assessment is essential in the financial sector, but has traditionally depended on costly feature-based models that often fail to utilize all available information in raw credit records. This paper introduces LendNova, the first practical automated end-to-end pipeline for credit risk assessment, designed to utilize all...

💬 0 commentsarXiv:2601.02573v1PDF
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Posted in physics.optics · 2026-01-05 · Xiangjun Kong, Qingkang Bao, Tibebe Yalew, Gerardo Adesso, Samanta Piano

Deep Learning-based Single-Shot Composite Fringe Projection Profilometry with Pixel-Wise Uncertainty Quantification

Driven by the growing demand for high-speed 3D measurement in advanced manufacturing, optical metrology algorithms must deliver high accuracy and robustness under dynamic conditions. Fringe projection profilometry (FPP) offers high precision, yet the 2pi ambiguity of the wrapped phase means that conventional absolute phase recovery...

💬 0 commentsarXiv:2601.02572v1PDF
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Posted in eess.SY · 2026-01-05 · Azuka Chiejina, Divyadharshini Muruganandham, Vini Chaudhary, Kaushik Chowdhury, Vijay K. Shah

O-DSS: An Open Dynamic Spectrum Sharing Framework for Cellular-Radar Coexistence in Mid-band Frequencies

The growing demand for mid-band spectrum necessitates efficient Dynamic Spectrum Sharing (DSS) to ensure coexistence between cellular networks and incumbent radar systems. Existing Spectrum Access System (SAS) frameworks rely on fixed Environmental Sensing Capability (ESC) sensors, which are latency-prone and inflexible. This paper...

💬 0 commentsarXiv:2601.02571v1PDF
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Posted in cond-mat.mtrl-sci · 2026-01-05 · Thiago S. Arnaud, Ryan W. Spangler, Johnathan D. Georgaras, Jonah B. Haber, Daniel Hirt, Maximilian Obst, Gonzalo Álvarez-Pérez, Mackey Long, Felix G. Kaps, Jakob Wetzel, Courtney Ragle, John E. Buchner, Youngji Kim, Aditha S. Senarath, Richarda Niemann, Mingze He, Giulia Carini, Unai Arregui-Leon, Akash C. Behera, Ramachandra Bangari, Nihar Sahoo, Niels C. Brumby, J. Michael Klopf, Martin Wolf, Lukas M. Eng, Susanne C. Kehr, Thomas G. Folland, Alexander Paarmann, Patrick E. Hopkins, Felipe Jornada, Jon-Paul Maria, Joshua D. Caldwell

Tailoring phonon-driven responses in α-MoO3 through isotopic enrichment

The implementation of polaritonic materials into nanoscale devices requires selective tuning of parameters to realize desired spectral or thermal responses. One robust material is α-MoO3, which as an orthorhombic crystal boasts three distinct phonon dispersions, providing three polaritonic dispersions of hyperbolic phonon polaritons...

💬 0 commentsarXiv:2601.02570v1PDF