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arXiv preprints from January 1, 2026 through September 26, 2026 — 07:36:26 EST

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Posted in math.LO · 2026-01-06 · Miloš S. Kurilić

Vaught's Conjecture and Theories of Partial Order Admitting a Finite Lexicographic Decomposition

A complete theory ${\mathcal T}$ of partial order is an FLD$_1$-theory iff some (equivalently, any) of its models ${\mathbb X}$ admits a finite lexicographic decomposition ${\mathbb X} =\sum _{\mathbb I}{\mathbb X} _i$, where ${\mathbb I}$ is a finite partial order and ${\mathbb X} _i$-s are partial orders with a largest element. Then...

💬 0 commentsarXiv:2601.03155v1PDF
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Posted in cs.CL · 2026-01-06 · Beiduo Chen, Tiancheng Hu, Caiqi Zhang, Robert Litschko, Anna Korhonen, Barbara Plank

Decoupling the Effect of Chain-of-Thought Reasoning: A Human Label Variation Perspective

Reasoning-tuned LLMs utilizing long Chain-of-Thought (CoT) excel at single-answer tasks, yet their ability to model Human Label Variation--which requires capturing probabilistic ambiguity rather than resolving it--remains underexplored. We investigate this through systematic disentanglement experiments on distribution-based tasks,...

💬 0 commentsarXiv:2601.03154v2PDF
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Posted in cs.IR · 2026-01-06 · Jiakai Tang, Xu Chen, Wen Chen, Jian Wu, Yuning Jiang, Bo Zheng

Parallel Latent Reasoning for Sequential Recommendation

Capturing complex user preferences from sparse behavioral sequences remains a fundamental challenge in sequential recommendation. Recent latent reasoning methods have shown promise by extending test-time computation through multi-step reasoning, yet they exclusively rely on depth-level scaling along a single trajectory, suffering from...

💬 0 commentsarXiv:2601.03153v1PDF
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Posted in eess.SY · 2026-01-06 · Amy Hodgkin, Nick Pepper, Marc Thomas

Conditioning Aircraft Trajectory Prediction on Meteorological Data with a Physics-Informed Machine Learning Approach

Accurate aircraft trajectory prediction (TP) in air traffic management systems is confounded by a number of epistemic uncertainties, dominated by uncertain meteorological conditions and operator specific procedures. Handling this uncertainty necessitates the use of probabilistic, machine learned models for generating trajectories....

💬 0 commentsarXiv:2601.03152v2PDF
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Posted in cond-mat.mtrl-sci · 2026-01-06 · Tushar Singh Thakur, Loris Ercole, Nicola Marzari

Novel fast Li-ion conductors for solid-state electrolytes from first-principles

We present a high-throughput computational screening for fast lithium-ion conductors to identify promising materials for application in all solid-state electrolytes. Starting from more than 30,000 Li-containing experimental structures sourced from Crystallography Open Database, Inorganic Crystal Structure Database and Materials...

💬 0 commentsarXiv:2601.03151v1PDF
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Posted in cond-mat.str-el · 2026-01-06 · Sadok Kallel, Hisham Sati, Urs Schreiber

Higher-Dimensional Anyons via Higher Cohomotopy

We highlight that integer Heisenberg groups at level 2 underlie topological quantum phenomena: their group algebras coincide with the algebras of quantum observables of abelian anyons in fractional quantum Hall (FQH) systems on closed surfaces. Decades ago, these groups were shown to arise as the fundamental groups of the space of...

💬 0 commentsarXiv:2601.03150v1PDF
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Posted in cs.LG · 2026-01-06 · Dehao Yuan, Tyler Farnan, Stefan Tesliuc, Doron L Bergman, Yulun Wu, Xiaoyu Liu, Minghui Liu, James Montgomery, Nam H Nguyen, C. Bayan Bruss, Furong Huang

PersonaLedger: Generating Realistic Financial Transactions with Persona Conditioned LLMs and Rule Grounded Feedback

Strict privacy regulations limit access to real transaction data, slowing open research in financial AI. Synthetic data can bridge this gap, but existing generators do not jointly achieve behavioral diversity and logical groundedness. Rule-driven simulators rely on hand-crafted workflows and shallow stochasticity, which miss the...

💬 0 commentsarXiv:2601.03149v2PDF
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Posted in eess.SP · 2026-01-06 · Alireza Maleki, Ebrahim Bedeer, Robert Barton

Spectral-Efficient LoRa with Low Complexity Detection

In this paper, we propose a spectral-efficient LoRa (SE-LoRa) modulation scheme with a low complexity successive interference cancellation (SIC)-based detector. The proposed communication scheme significantly improves the spectral efficiency of LoRa modulation, while achieving an acceptable error performance compared to conventional...

💬 0 commentsarXiv:2601.03148v1PDF
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Posted in math.DS · 2026-01-06 · Andrey Chernyshev

Normalization flow and Poincaré-Dulac theory

In this article, we develop a new approach to the Poincaré--Dulac normal form theory for a system of differential equations near a singular point. Using the continuous averaging method, we construct a normalization flow that moves a vector field to its normal form. We prove that, in the algebra of formal vector fields (given by power...

💬 0 commentsarXiv:2601.03147v1PDF
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Posted in econ.GN · 2026-01-06 · Mindy L. Mallory

Two-Step Regularized HARX to Measure Volatility Spillovers in Multi-Dimensional Systems

We identify volatility spillovers across commodities, equities, and treasuries using a hybrid HAR-ElasticNet framework on daily realized volatility for six futures markets over 2002--2025. Our two step procedure estimates own-volatility dynamics via OLS to preserve persistence, then applies ElasticNet regularization to cross-market...

💬 0 commentsarXiv:2601.03146v4PDF
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Posted in math.CO · 2026-01-06 · Sofía Garzón Mora, Christian Haase

Classifying the Fine Polyhedral Spectrum

In this paper, we examine an analogue of the recently solved spectrum conjecture by Fujita in the setting of Fine polyhedral adjunction theory. We present computational results for lower-dimensional polytopes, which lead to a complete classification of the highest numbers of this Fine spectrum in any dimension. Moreover, we present a...

💬 0 commentsarXiv:2601.03145v1PDF
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Posted in cs.CL · 2026-01-06 · Andrew Shin

Self-Verification is All You Need To Pass The Japanese Bar Examination

Despite rapid advances in large language models (LLMs), achieving reliable performance on highly professional and structured examinations remains a significant challenge. The Japanese bar examination is a particularly demanding benchmark, requiring not only advanced legal reasoning but also strict adherence to complex answer formats...

💬 0 commentsarXiv:2601.03144v1PDF
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Posted in eess.SY · 2026-01-06 · Yuta Takahashi, Hiraku Sakamoto, Shin-ichiro Sakai

Time-Varying Kinematics Control for Magnetically-Actuated Satellite Swarm without Additional Actuator

Electromagnetic Formation Flight is a technology that uses electromagnetic forces and torques to control multiple satellites without conventional fuel-based propulsion. In this paper, the controllability of the system is discussed based on the conservation of the entire system's angular momentum, which constitutes a nonholonomic...

💬 0 commentsarXiv:2601.03143v1PDF
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Posted in physics.optics · 2026-01-06 · Zahra Jalali-Mola, Saeid Asgarnezhad-Zorgabad

Collective light-matter interaction in plasmonic waveguide quantum electrodynamics

Rabi oscillations characterize light-matter hybridization in the waveguide quantum electrodynamics~(WQED) framework, with their associated decay rates reflecting excitation damping, yet their behavior remains unresolved when collective emitters are coupled to a collective waveguide mode. This scenario reveals a conceptually novel...

💬 0 commentsarXiv:2601.03142v2PDF
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Posted in quant-ph · 2026-01-06 · Óscar Alves, Marco Pezzutto, Yasser Omar

Energetics of Rydberg-atom Quantum Computing

While extensive research over the past decades has been dedicated to developing scalable quantum computers, the question of their energetic performance has only gained attention more recently, but its importance is now recognized. In fact, quantum computers can only be a viable alternative if their energy cost scales favorably, and...

💬 0 commentsarXiv:2601.03141v2PDF
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Posted in astro-ph.HE · 2026-01-06 · Noa Grollimund, Stéphane Corbel, Rob Fender, James H. Matthews, Ian Heywood, Fraser J. Cowie, Andrew K. Hughes, Francesco Carotenuto, Sara E. Motta, Patrick Woudt

Large-scale radio bubbles around the black hole transient V4641 Sgr

Black holes (BHs) in microquasars can launch powerful relativistic jets that have the capacity to travel up to several parsecs from the compact object and interact with the interstellar medium. Recently, the detection of large-scale very-high-energy (VHE) gamma-ray emission around the black hole transient V4641 Sgr and other BH-jet...

💬 0 commentsarXiv:2601.03140v1PDF
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Posted in quant-ph · 2026-01-06 · Alonso Alcalá, Charlie Oncebay, Onofre Rojas, Moises Rojas

Operational modes of a Raman-coupled two-qubit quantum thermal machine

We investigate a quantum thermal machine composed of two qubits coupled through a Raman-induced exchange interaction and driven by inhomogeneous transition frequencies. The system is analyzed within Carnot, Otto, and Stirling thermodynamic cycles, including the Stirling cycle with and without regeneration. We identify the conditions...

💬 0 commentsarXiv:2601.03139v1PDF
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Posted in cond-mat.str-el · 2026-01-06 · D. V. Dmitriev, V. Ya. Krivnov, O. A. Vasilyev

Phase diagram and macroscopic ground state degeneracy of frustrated spin-1/2 anisotropic Heisenberg model on diamond-decorated lattices

We study the ground state properties of the anisotropic spin-1/2 Heisenberg model on lattices built from ideal diamond units with competing ferro- and antiferromagnetic interactions. The study covers the one-dimensional diamond chain and its two- and three-dimensional generalizations. The ground-state phase diagram contains four...

💬 0 commentsarXiv:2601.03138v1PDF
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Posted in cs.DB · 2026-01-06 · Yangfan Jiang, Fei Wei, Ergute Bao, Yaliang Li, Bolin Ding, Yin Yang, Xiaokui Xiao

Accurate Table Question Answering with Accessible LLMs

Given a table T in a database and a question Q in natural language, the table question answering (TQA) task aims to return an accurate answer to Q based on the content of T. Recent state-of-the-art solutions leverage large language models (LLMs) to obtain high-quality answers. However, most rely on proprietary, large-scale LLMs with...

💬 0 commentsarXiv:2601.03137v1PDF
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Posted in cs.CL · 2026-01-06 · Selma Wanna, Agnes Luhtaru, Jonathan Salfity, Ryan Barron, Juston Moore, Cynthia Matuszek, Mitch Pryor

Limited Linguistic Diversity in Embodied AI Datasets

Language plays a critical role in Vision-Language-Action (VLA) models, yet the linguistic characteristics of the datasets used to train and evaluate these systems remain poorly documented. In this work, we present a systematic dataset audit of several widely used VLA corpora, aiming to characterize what kinds of instructions these...

💬 0 commentsarXiv:2601.03136v2PDF
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Posted in cs.CL · 2026-01-06 · Aashish Dhawan, Christopher Driggers-Ellis, Christan Grant, Daisy Zhe Wang

Improving Indigenous Language Machine Translation with Synthetic Data and Language-Specific Preprocessing

Low-resource indigenous languages often lack the parallel corpora required for effective neural machine translation (NMT). Synthetic data generation offers a practical strategy for mitigating this limitation in data-scarce settings. In this work, we augment curated parallel datasets for indigenous languages of the Americas with...

💬 0 commentsarXiv:2601.03135v2PDF
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Posted in cs.CL · 2026-01-06 · Xiangzhe Yuan, Zhenhao Zhang, Haoming Tang, Siying Hu

The Anatomy of Conversational Scams: A Topic-Based Red Teaming Analysis of Multi-Turn Interactions in LLMs

As LLMs gain persuasive capabilities through extended dialogues, they create new opportunities for studying adversarial conversational behavior in extended interaction settings that traditional single-turn safety evaluations fail to capture. We systematically study these interactional dynamics using a controlled LLM-to-LLM simulation...

💬 0 commentsarXiv:2601.03134v2PDF
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Posted in math.AP · 2026-01-06 · Geoffrey Beck, Ewan Contentin, Ludovic Martaud

Freely floating cylinder on a 3D fluid governed by the Boussinesq equations in the axisymmetric without swirl case

This paper deals with the interactions of waves governed by a non-linear dispersive Boussinesq type system with the vertical displacement of a cylindrical floating structure in an axisymmetric without swirl situation. The Boussinesq regime is a good approximation of free surface Euler's equations when the non-linear parameter and the...

💬 0 commentsarXiv:2601.03133v1PDF
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Posted in eess.SY · 2026-01-06 · Mintae Kim

Finite Memory Belief Approximation for Optimal Control in Partially Observable Markov Decision Processes

We study finite memory belief approximation for partially observable (PO) stochastic optimal control (SOC) problems. While belief states are sufficient for SOC in partially observable Markov decision processes (POMDPs), they are generally infinite-dimensional and impractical. We interpret truncated input-output (IO) histories as...

💬 0 commentsarXiv:2601.03132v1PDF
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Posted in math.FA · 2026-01-06 · Ramón J. Aliaga, Rubén Medina

Lipschitz extension and Lipschitz-free spaces over nets in normed spaces

We consider subsets $S$ of a metric space $M$ such that Lipschitz mappings defined on $S$ can be extended to Lipschitz mappings on $M$, and we show that the union of such subsets has the same property under appropriate geometric conditions. We then derive several consequences to the isomorphic structure and classification of Lipschitz...

💬 0 commentsarXiv:2601.03131v2PDF