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arXiv preprints from January 1, 2026 through September 30, 2026 — 06:48:54 EST

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Posted in cs.AI · 2026-01-03 · Krzysztof Sienicki

Comment on arXiv:2511.21731v1: Identifying Quantum Structure in AI Language: Evidence for Evolutionary Convergence of Human and Artificial Cognition

This note is a friendly technical check of arXiv:2511.21731v1. I highlight a few places where the manuscript's interpretation of (i) the reported CHSH/Bell-type calculations and (ii) Bose--Einstein (BE) fits to rank-frequency data seems to go beyond what the stated procedures can firmly support. I also point out one internal...

💬 0 commentsarXiv:2601.06104v1PDF
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Posted in eess.SY · 2026-01-03 · Devesh Nath, Haoran Yin, Glen Chou

Scalable Data-Driven Reachability Analysis and Control via Koopman Operators with Conformal Coverage Guarantees

We propose a scalable reachability-based framework for probabilistic, data-driven safety verification of unknown nonlinear dynamics. We use Koopman theory with a neural network (NN) lifting function to learn an approximate linear representation of the dynamics and design linear controllers in this space to enable closed-loop tracking...

💬 0 commentsarXiv:2601.01076v1PDF
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Posted in cs.LG · 2026-01-03 · Hansen Jin Lillemark, Benhao Huang, Fangneng Zhan, Yilun Du, Thomas Anderson Keller

Flow Equivariant World Models: Memory for Partially Observed Dynamic Environments

Embodied systems experience the world as 'a symphony of flows': a combination of many continuous streams of sensory input coupled to self-motion, interwoven with the dynamics of external objects. These sensory streams and the underlying dynamics of the world obey smooth, time-parameterized symmetries which existing world models...

💬 0 commentsarXiv:2601.01075v2PDF
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Posted in cond-mat.mes-hall · 2026-01-03 · R. J. G. Elbertse, M. Xu, A. Keşkekler, S. Otte, R. A. Norte

Detection of MEMS Acoustics via Scanning Tunneling Microscopy

Scanning tunneling microscopy (STM) and micro-electromechanical systems (MEMS) have traditionally addressed vastly different length scales - one resolving atoms, the other engineering macroscopic motion. Here we unite these two fields to perform minimally invasive-measurements of high aspect-ratio MEMS resonators using the STM tip as...

💬 0 commentsarXiv:2601.01074v2PDF
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Posted in cs.SI · 2026-01-03 · Erica Coppolillo, Emilio Ferrara

Gendered Pathways in AI Companionship: Cross-Community Behavior and Toxicity Patterns on Reddit

AI-companionship platforms are rapidly reshaping how people form emotional, romantic, and parasocial bonds with non-human agents, raising new questions about how these relationships intersect with gendered online behavior and exposure to harmful content. Focusing on the MyBoyfriendIsAI (MBIA) subreddit, we reconstruct the Reddit...

💬 0 commentsarXiv:2601.01073v1PDF
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Posted in quant-ph · 2026-01-03 · H. Moradpour, S. Jalalzadeh

Minimal length: A source of quantum non-locality

The narrow and subtle difference between the Hilbert spaces of operators corresponding to the canonical momentum and the generalized momentum that includes minimal length effects is polished. Consequently, complex eigenvalues may be allowed for the canonical momentum operator due to the existence of minimal length. A novel quantum...

💬 0 commentsarXiv:2601.02413v3PDF
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Posted in math.NA · 2026-01-03 · Zhijun Zeng, Jianlong Chen

Flow Matching Transport for Quasi-Monte Carlo Integration

High-dimensional integration with respect to complex target measures remains a fundamental challenge in computational science. While Flow Matching (FM) offers a powerful paradigm for constructing continuous-time transport maps, its deployment in high-precision integration is severely limited by the discretization bias inherent to...

💬 0 commentsarXiv:2601.01072v1PDF
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Posted in physics.hist-ph · 2026-01-03 · Mikołaj Sienicki, Krzysztof Sienicki

Tractatus de Conscientia: A Tractatus-Style Sketch Toward a Modern, Physically Operational Theory of Consciousness

Tractatus de Conscientia is a tractatus-style sketch toward a modern, physically operational account of consciousness. It is also a tractatus-style attempt to talk about consciousness in a way that stays close to what we can actually test and build. It pushes back against two common moves: treating consciousness as a mysterious extra...

💬 0 commentsarXiv:2601.01070v1PDF
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Posted in cs.LG · 2026-01-03 · Jing Wang, Peng Zhao, Zhi-Hua Zhou

Revisiting Weighted Strategy for Non-stationary Parametric Bandits and MDPs

Non-stationary parametric bandits have attracted much attention recently. There are three principled ways to deal with non-stationarity, including sliding-window, weighted, and restart strategies. As many non-stationary environments exhibit gradual drifting patterns, the weighted strategy is commonly adopted in real-world...

💬 0 commentsarXiv:2601.01069v1PDF
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Posted in cs.CR · 2026-01-03 · Abdullah Al Mamun, Akid Abrar, Mizanur Rahman, M Sabbir Salek, Mashrur Chowdhury

Post-Quantum Cryptography for Intelligent Transportation Systems: An Implementation-Focused Review

As quantum computing advances, the cryptographic algorithms that underpin confidentiality, integrity, and authentication in Intelligent Transportation Systems (ITS) face increasing vulnerability to quantum-enabled attacks. To address these risks, governments and industry stakeholders are turning toward post-quantum cryptography (PQC),...

💬 0 commentsarXiv:2601.01068v2PDF
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Posted in cs.RO · 2026-01-03 · Wenzheng Zhang, Yoshitaka Hara, Sousuke Nakamura

Topological Mapping and Navigation using a Monocular Camera based on AnyLoc

This paper proposes a method for topological mapping and navigation using a monocular camera. Based on AnyLoc, keyframes are converted into descriptors to construct topological relationships, enabling loop detection and map building. Unlike metric maps, topological maps simplify path planning and navigation by representing...

💬 0 commentsarXiv:2601.01067v1PDF
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Posted in hep-ph · 2026-01-03 · Kairui Zhang

Supersymmetry at High Luminosity LHC

Weak-scale supersymmetry (SUSY) is well motivated as a technically natural solution to the gauge hierarchy problem. LHC limits on superpartners, however, have sharpened the Little Hierarchy problem, raising the question of why $m_{weak} \ll m_{soft}$. We review current collider and dark matter constraints and their implications for...

💬 0 commentsarXiv:2601.01066v1PDF
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Posted in cs.LG · 2026-01-03 · Achraf Hsain, Yahya Zaki, Othman Abaakil, Hibat-allah Bekkar, Yousra Chtouki

Tiny Machine Learning for Real-Time Aquaculture Monitoring: A Case Study in Morocco

Aquaculture, the farming of aquatic organisms, is a rapidly growing industry facing challenges such as water quality fluctuations, disease outbreaks, and inefficient feed management. Traditional monitoring methods often rely on manual labor and are time consuming, leading to potential delays in addressing issues. This paper proposes...

💬 0 commentsarXiv:2601.01065v1PDF
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Posted in cs.CV · 2026-01-03 · Jianan Li, Wangcai Zhao, Tingfa Xu

Efficient Hyperspectral Image Reconstruction Using Lightweight Separate Spectral Transformers

Hyperspectral imaging (HSI) is essential across various disciplines for its capacity to capture rich spectral information. However, efficiently reconstructing hyperspectral images from compressive sensing measurements presents significant challenges. To tackle these, we adopt a divide-and-conquer strategy that capitalizes on the...

💬 0 commentsarXiv:2601.01064v1PDF
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Posted in math.AG · 2026-01-03 · Yusuke Ohmiya

Wall in the stability space of the gluing stability conditions on Hirzebruch surfaces

This paper investigates the wall structure of the space of stability conditions on Hirzebruch surfaces. Using the gluing construction of \cite{CP} and \cite{Uch} with respect to a fixed semiorthogonal decomposition, we focus on two main objectives: observing the intersection of the geometric chamber $U(S) \subset \mathrm{Stab}(Σ_e)$...

💬 0 commentsarXiv:2601.01063v2PDF
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Posted in cs.LG · 2026-01-03 · Yunlin Zeng

SPoRC-VIST: A Benchmark for Evaluating Generative Natural Narrative in Vision-Language Models

Vision-Language Models (VLMs) have achieved remarkable success in descriptive tasks such as image captioning and visual question answering (VQA). However, their ability to generate engaging, long-form narratives -- specifically multi-speaker podcast dialogues -- remains under-explored and difficult to evaluate. Standard metrics like...

💬 0 commentsarXiv:2601.01062v1PDF
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Posted in cs.LG · 2026-01-03 · Yajing Liu, Erkao Bao, Linqi Song

A UCB Bandit Algorithm for General ML-Based Estimators

We present ML-UCB, a generalized upper confidence bound algorithm that integrates arbitrary machine learning models into multi-armed bandit frameworks. A fundamental challenge in deploying sophisticated ML models for sequential decision-making is the lack of tractable concentration inequalities required for principled exploration. We...

💬 0 commentsarXiv:2601.01061v2PDF
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Posted in cs.CL · 2026-01-03 · Shuhuan Gu, Wenbiao Tao, Xinchen Ma, Kangkang He, Ye Guo, Xiang Li, Yunshi Lan

Unsupervised Text Style Transfer for Controllable Intensity

Unsupervised Text Style Transfer (UTST) aims to build a system to transfer the stylistic properties of a given text without parallel text pairs. Compared with text transfer between style polarities, UTST for controllable intensity is more challenging due to the subtle differences in stylistic features across different intensity...

💬 0 commentsarXiv:2601.01060v1PDF
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Posted in cond-mat.mtrl-sci · 2026-01-03 · Junting Yu, Andrew Grieder, Jacopo Simoni, Ravishankar Sundararaman, Aris Alexandradinata, Yuan Ping

Photogalvanic currents from first-principles real-time density-matrix dynamics

The photogalvanic effect is the generation of a second-order direct current by illumination of a non-centrosymmetric material. In this work, we develop a first-principles real-time density matrix (FPDMD) formalism enabling the calculations of the photogalvanic current in all time regimes: transient and steady. Unlike past...

💬 0 commentsarXiv:2601.01059v2PDF
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Posted in quant-ph · 2026-01-03 · Luowen Qian, Mark Zhandry

Impersonating Quantum Secrets over Classical Channels

We show that a simple eavesdropper listening in on classical communication between potentially entangled quantum parties will eventually be able to impersonate any of the parties. Furthermore, the attack is efficient if one-way puzzles do not exist. As a direct consequence, one-way puzzles are implied by reusable authentication...

💬 0 commentsarXiv:2601.01058v1PDF
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Posted in math.GR · 2026-01-03 · Changqian Li

Finite Stature in Graphs of Cube Complexes with Cyclonormal Edges

Given a compact cube complex $X$ that splits as a graph of virtually special cube complexes. Suppose that the fundamental groups of edge spaces are cyclonormal in the fundamental groups of adjacent vertex spaces. We show that $π_1X$ has finite stature with respect to vertex groups in the sense of Huang-Wise. In particular, when vertex...

💬 0 commentsarXiv:2601.01057v1PDF
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Posted in cs.CV · 2026-01-03 · Ifeanyi Ezuma, Ugochukwu Ugwu

Enhancing Histopathological Image Classification via Integrated HOG and Deep Features with Robust Noise Performance

The era of digital pathology has advanced histopathological examinations, making automated image analysis essential in clinical practice. This study evaluates the classification performance of machine learning and deep learning models on the LC25000 dataset, which includes five classes of histopathological images. We used the...

💬 0 commentsarXiv:2601.01056v1PDF
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Posted in stat.ML · 2026-01-03 · Ernest Fokoué

Fibonacci-Driven Recursive Ensembles: Algorithms, Convergence, and Learning Dynamics

This paper develops the algorithmic and dynamical foundations of recursive ensemble learning driven by Fibonacci-type update flows. In contrast with classical boosting Freund and Schapire (1997); Friedman (2001), where the ensemble evolves through first-order additive updates, we study second-order recursive architectures in which...

💬 0 commentsarXiv:2601.01055v1PDF
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Posted in cs.CR · 2026-01-03 · Rajiv Thummala, Katherine Winton, Luke Flores, Elizabeth Redmond, Gregory Falco

Out-of-Band Power Side-Channel Detection for Semiconductor Supply Chain Integrity at Scale

Out-of-band screening of microcontrollers is a major gap in semiconductor supply chain security. High-assurance techniques such as X-ray and destructive reverse engineering are accurate but slow and expensive, hindering comprehensive detection for hardware Trojans or firmware tampering. Consequently, there has been increased interest...

💬 0 commentsarXiv:2601.01054v1PDF