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arXiv preprints from January 1, 2026 through July 20, 2026 — 01:13:29 EST

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Posted in physics.plasm-ph · 2026-01-18 · N. C. Logan, C. E. Myers, R. Sweeney, C. Paz-Soldan, M. Pharr, N. Leuthold, M. Nickerson, J. Halpern, I. Stewart

SPARC Tokamak Error Field Expectations and Physics-Based Correction Coil Design

Non-axisymmetric magnetic field coils have been designed to provide efficient error field correction and suppress edge localized modes in SPARC - a compact high-field tokamak that is presently under construction at Commonwealth Fusion Systems. These designs utilize the Generalized Perturbed Equilibrium Code's (GPEC's) representation...

💬 0 commentsarXiv:2601.12469v1PDF
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Posted in cs.CV · 2026-01-18 · Yanqi Wu, Qichao Chen, Runhe Lai, Xinhua Lu, Jia-Xin Zhuang, Zhilin Zhao, Wei-Shi Zheng, Ruixuan Wang

DCAC: Dynamic Class-Aware Cache Creates Stronger Out-of-Distribution Detectors

Out-of-distribution (OOD) detection remains a fundamental challenge for deep neural networks, particularly due to overconfident predictions on unseen OOD samples during testing. We reveal a key insight: OOD samples predicted as the same class, or given high probabilities for it, are visually more similar to each other than to the true...

💬 0 commentsarXiv:2601.12468v1PDF
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Posted in cs.LG · 2026-01-18 · Saurish Nagrath, Saroj Kumar Panigrahy

Patch-Level Tokenization with CNN Encoders and Attention for Improved Transformer Time-Series Forecasting

Transformer-based models have shown strong performance in time-series forecasting by leveraging self-attention to model long-range temporal dependencies. However, their effectiveness depends critically on the quality and structure of input representations derived from raw multivariate time-series data, particularly as sequence length...

💬 0 commentsarXiv:2601.12467v3PDF
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Posted in physics.plasm-ph · 2026-01-18 · S. Thatikonda, F. N. De Oliveira-Lopes, A. Mustonen, K. Pommois, D. Told, F. Jenko

Plasmoid formation via competing lower-hybrid drift and Kelvin-Helmholtz instabilities: A hybrid kinetic-gyrokinetic simulation study

We investigate the nonlinear formation of plasmoids in 2D low-beta current sheets through the interplay between the Kelvin-Helmholtz instability (KHI) and the lower-hybrid drift instability (LHDI). Using a hybrid kinetic-gyrokinetic model-based Super Simple Vlasov (ssV) code with fully kinetic ions and drift-kinetic electrons, we...

💬 0 commentsarXiv:2601.12466v1PDF
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Posted in cs.CL · 2026-01-18 · Miao Peng, Weizhou Shen, Nuo Chen, Chenliang Li, Ming Yan, Jia Li

Incentivizing In-depth Reasoning over Long Contexts with Process Advantage Shaping

Reinforcement Learning with Verifiable Rewards (RLVR) has proven effective in enhancing LLMs short-context reasoning, but its performance degrades in long-context scenarios that require both precise grounding and robust long-range reasoning. We identify the "almost-there" phenomenon in long-context reasoning, where trajectories are...

💬 0 commentsarXiv:2601.12465v1PDF
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Posted in cs.CV · 2026-01-18 · Yanrui Lu, Danyang Chen, Haowen Xiao, Jiarui Zhu, Fukang Ge, Binqian Zou, Jiali Guan, Jiayin Liang, Yuting Wang, Ziqian Guan, Xiangcheng Bao, Jinhao Bi, Lin Gu, Jun He, Yingying Zhu

Large-scale EM Benchmark for Multi-Organelle Instance Segmentation in the Wild

Accurate instance-level segmentation of organelles in electron microscopy (EM) is critical for quantitative analysis of subcellular morphology and inter-organelle interactions. However, current benchmarks, based on small, curated datasets, fail to capture the inherent heterogeneity and large spatial context of in-the-wild EM data,...

💬 0 commentsarXiv:2601.12464v1PDF
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Posted in cs.RO · 2026-01-18 · Zi Cong Guo, James R. Forbes, Timothy D. Barfoot

KILO-EKF: Koopman-Inspired Learned Observations Extended Kalman Filter

We present the Koopman-Inspired Learned Observations Extended Kalman Filter (KILO-EKF), which combines a standard EKF prediction step with a correction step based on a Koopman-inspired measurement model learned from data. By lifting measurements into a feature space where they are linear in the state, KILO-EKF enables flexible...

💬 0 commentsarXiv:2601.12463v2PDF
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Posted in physics.optics · 2026-01-18 · Yishai Brill, Yakir Hadad

Mixtenna: A Self-Biased Nonlinear Patch Antenna for Passive Third-Harmonic Radiation

A nonlinear rectangular patch antenna (RPA) is presented in which back-to-back Schottky diodes are embedded at high-field regions to enable passive, bias-free harmonic generation. The self-biased diodes introduce a power-dependent impedance that drives efficient frequency up-conversion and selective third-harmonic radiation. A...

💬 0 commentsarXiv:2601.12462v1PDF
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Posted in math.DG · 2026-01-18 · Jingche Chen, Han Hong

Homological $k$-systole in $n$-manifolds with positive intermediate curvature

In this paper, we prove optimal $k$-systolic inequalities and characterize the case of equality on closed $n$-dimensional Riemannian manifolds with positive intermediate curvature for $3\leq n\leq 7$. This unifies prior works of Bray-Brendle-Neves \cite{BrayBrenleNevesrigidity} and Chu-Lee-Zhu \cite{chuleezhu_n_systole}, and...

💬 0 commentsarXiv:2601.12461v2PDF
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Posted in cs.CR · 2026-01-18 · Zhixin Xie, Xurui Song, Jun Luo

TrojanPraise: Jailbreak LLMs via Benign Fine-Tuning

The demand of customized large language models (LLMs) has led to commercial LLMs offering black-box fine-tuning APIs, yet this convenience introduces a critical security loophole: attackers could jailbreak the LLMs by fine-tuning them with malicious data. Though this security issue has recently been exposed, the feasibility of such...

💬 0 commentsarXiv:2601.12460v1PDF
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Posted in gr-qc · 2026-01-18 · Enrico Massa, Davide Astesiano

A Machian Approach to Relativistic Cosmology

We present a consistent relativistic formulation of Mach principle within a geometric theory of gravitation. In this approach, neither inertia nor free fall is assumed a priori. Instead, the motion of any local system arises from its dynamical interdependence, direct or indirect, with the rest of the Universe. This viewpoint provides...

💬 0 commentsarXiv:2601.12459v1PDF
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Posted in math.CA · 2026-01-18 · Nils Dencker

Symmetric preparation of systems

In this paper we generalize the Weierstrass and Malgrange preparation theorems to the symmetric matrix valued case, proving symmetric preparation of analytic and smooth symmetric systems that vanish of finite order.

💬 0 commentsarXiv:2601.12458v3PDF
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Posted in math.CO · 2026-01-18 · Aliaksei Semchankau, Ilya Shkredov

Structure theory of set addition with two operations

We take the first step toward a structure theory that includes both operations of a ring $\mathcal{R}$. More precisely, we prove a series of inverse results for the structure of sets $A\subseteq \mathbf{F}_p$ such that, under certain conditions on integers $r_1, \dots, r_k$, one has $|A^{r_1} + \dots + A^{r_k}| \ll \sqrt[k]{p^{k-1} |A|}$.

💬 0 commentsarXiv:2601.12457v1PDF
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Posted in cs.DB · 2026-01-18 · Arthur Bernhardt, David Volz, Sajjad Tamimi, Andreas Koch, Ilia Petrov

Bringing Data Transformations Near-Memory for Low-Latency Analytics in HTAP Environments

In this paper we propose an approach for executing data transformations near- or in-storage on intelligent storage systems. The currently prevailing approach of extracting the data and then transforming it to a target format suffers degraded performance during transformation and causes heavy data movement. Our results show robust...

💬 0 commentsarXiv:2601.12456v2PDF
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Posted in q-bio.QM · 2026-01-18 · Kyle Adams, Julia Bruner, Salma Ameziane, Ashley Brown, Mohammed Gbadamosi, Helen Moore

Identifying Therapeutic Targets for Triple-Negative Breast Cancer using a Novel Mathematical Model of the Tumor Microenvironment

Triple-negative breast cancer (TNBC) is an aggressive disease with high mortality and limited treatment options, due to its lack of receptors that have targeted therapies available. The tumor microenvironment (TME) plays a critical role in TNBC progression and therapeutic resistance. In this work, we developed a novel mathematical...

💬 0 commentsarXiv:2601.12455v2PDF
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Posted in math.CA · 2026-01-18 · Amílcar Branquinho, Ana Foulquié-Moreno, Manuel Mañas

Unbounded banded matrices, shifted positive bidiagonal factorizations, and mixed-type multiple orthogonality

This work extends Favard-type spectral representations for banded matrices $T$ beyond the bounded setting. It assumes that, for every $N\in\mathbb N_0$, there exists a shift $s_N\ge 0$ such that the shifted truncation $A_N:= T^{[N]}+s_N I_{N+1}$ admits a positive bidiagonal factorization (PBF). Allowing $s_N$ to depend on $N$ leads to...

💬 0 commentsarXiv:2601.12453v3PDF
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Posted in nucl-ex · 2026-01-18 · Mingyuan Wang, Yiyang Li, Suqing Hou, Fei Xiao, Yaoguang Wang, Zeyuan Yu

Impact of the $^5$Li resonance in $α$-$p$ elastic scattering on precision measurements of neutrino oscillation parameters

Precision measurements of four neutrino oscillation parameters, $θ_{12}$, $θ_{13}$, $Δm^2_{21}$, and |$Δm^2_{31}$|, face significant interference from a previously overlooked correlated background. Recent findings from the SNO+ and JUNO experiments reveal that cascade decays of $^{214}$Bi-$^{214}$Po in liquid scintillator detectors...

💬 0 commentsarXiv:2601.12452v1PDF
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Posted in math.CO · 2026-01-18 · Sam Adriaensen

Even Sets and Dual Projective Geometric Codes: A Tale of Cylinders

In this paper, we prove that the smallest even sets in ${\rm PG}(n,q)$, i.e. sets that intersect every line in an even number of points, are cylinders with a hyperoval as base. This fits into a more general study of dual projective geometric codes. Let $q$ be a prime power, and define $\mathcal C_k(n,q)^\perp$ as the kernel of the...

💬 0 commentsarXiv:2601.12451v1PDF
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Posted in math.AT · 2026-01-18 · Ryan C. Gelnett

On spaces of embeddings of circles in surfaces

We consider the space of embeddings of finitely many circles that bound disks in non-positively curved surfaces. We index the connected components of this space with finite rooted trees and show that the connected components are classifying spaces of the ``braided" automorphism groups of the associated trees. An intermediate step to...

💬 0 commentsarXiv:2601.12450v1PDF
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Posted in cs.CR · 2026-01-18 · Roy Betser, Shamik Bose, Amit Giloni, Chiara Picardi, Sindhu Padakandla, Roman Vainshtein

AgenTRIM: Tool Risk Mitigation for Agentic AI

AI agents are autonomous systems that combine LLMs with external tools to solve complex tasks. While such tools extend capability, improper tool permissions introduce security risks such as indirect prompt injection and tool misuse. We characterize these failures as unbalanced tool-driven agency. Agents may retain unnecessary...

💬 0 commentsarXiv:2601.12449v1PDF
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Posted in cs.SE · 2026-01-18 · Yang Liu, Yixing Luo, Xiaofeng Li, Xiaogang Dong, Bin Gu, Zhi Jin

Evaluating Large Language Models for Time Series Anomaly Detection in Aerospace Software

Time series anomaly detection (TSAD) is essential for ensuring the safety and reliability of aerospace software systems. Although large language models (LLMs) provide a promising training-free alternative to unsupervised approaches, their effectiveness in aerospace settings remains under-examined because of complex telemetry,...

💬 0 commentsarXiv:2601.12448v2PDF
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Posted in cs.CR · 2026-01-18 · Mohammed Himayath Ali, Mohammed Aqib Abdullah, Syed Muneer Hussain, Mohammed Mudassir Uddin, Shahnawaz Alam

Privacy-Preserving Federated Learning with Verifiable Fairness Guarantees

Federated learning enables collaborative model training across distributed institutions without centralizing sensitive data; however, ensuring algorithmic fairness across heterogeneous data distributions while preserving privacy remains fundamentally unresolved. This paper introduces CryptoFair-FL, a novel cryptographic framework...

💬 0 commentsarXiv:2601.12447v2PDF
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Posted in quant-ph · 2026-01-18 · Jonnathan Pineda, Mario Collura, Gianluca Passarelli, Procolo Lucignano, Davide Rossini, Angelo Russomanno

Operator delocalization in disordered spin chains via exact MPO marginals

We investigate operator delocalization in disordered one-dimensional spin chains by introducing -- besides the already known operator mass -- a complementary measure of operator complexity: the operator length. Like the operator nonstabilizerness, both these quantities are defined from the expansion of time-evolved operators in the...

💬 0 commentsarXiv:2601.12446v3PDF
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Posted in math.CO · 2026-01-18 · Cosmin Pohoata

Distinct permutation dot products

We show that for any two sets of reals numbers $A=\{a_1,\dots,a_n\}$ and $B=\{b_1,\dots,b_n\}$, the sums of the form $\sum_{i=1}^n a_i\,b_{π(i)}$ always take on $Ω(n^{3})$ distinct values, as we range over all permutations $π\in S_n$. An important ingredient is a ``supportive'' version of Halász's anticoncentration theorem from...

💬 0 commentsarXiv:2601.12445v1PDF