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Engineering Preprint PDF DOI

LaST-R1: Reinforcing Action via Adaptive Physical Latent Reasoning for VLA Models

Hao Chen, Jiaming Liu, Zhonghao Yan, Nuowei Han, Renrui Zhang, Chenyang Gu, Jialin Gao, Ziyu Guo, Siyuan Qian, Yinxi Wang, Peng Jia, Chi-Wing Fu, Shanghang Zhang, Pheng-Ann Heng · 2026

Vision-Language-Action (VLA) models have increasingly incorporated reasoning mechanisms for complex robotic manipulation. However, existing approaches share a critical limitation: whether employing ex…

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Physics Preprint PDF DOI

Observation of Vinen turbulence during far-from-equilibrium Bose-Einstein condensation

Sebastian J. Morris, Martin Gazo, Simon M. Fischer, Haoyu Zhang, Christopher J. Ho, Nigel R. Cooper, Christoph Eigen, Zoran Hadzibabic · 2026

Relaxation of far-from-equilibrium quantum fluids, intimately related to the emergence of long-range order, is theoretically associated with the decay of a turbulent isotropic tangle of vortex lines. …

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Physics Preprint PDF DOI

Enhancement of superconducting stiffness in hybrid superconducting-metallic bilayers

J. E. Ebot, Lorenzo Pizzino, Sam Mardazad, Johannes S. Hofmann, Thierry Giamarchi, Adrian Kantian · 2026

Boosting superconductivity by metallic reservoirs is the essence of Kivelson's bilayer proposal. One layer provides pairing to the electrons, while the weakly coupled metal provides additional phase…

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Computer Science Preprint PDF DOI

Computing Equilibrium beyond Unilateral Deviation

Mingyang Liu, Gabriele Farina, Asuman Ozdaglar · 2026

Most familiar equilibrium concepts, such as Nash and correlated equilibrium, guarantee only that no single player can improve their utility by deviating unilaterally. They offer no guarantees against …

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AI & Data Science Preprint PDF DOI

Exploration Hacking: Can LLMs Learn to Resist RL Training?

Eyon Jang, Damon Falck, Joschka Braun, Nathalie Kirch, Achu Menon, Perusha Moodley, Scott Emmons, Roland S. Zimmermann, David Lindner · 2026

Reinforcement learning (RL) has become essential to the post-training of large language models (LLMs) for reasoning, agentic capabilities and alignment. Successful RL relies on sufficient exploration …

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AI & Data Science Preprint PDF DOI

An adaptive wavelet-based PINN for problems with localized high-magnitude source

Himanshu Pandey, Ratikanta Behera · 2026

In recent years, physics-informed neural networks (PINNs) have gained significant attention for solving differential equations, although they suffer from two fundamental limitations, namely, spectral …

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Physics Preprint PDF DOI

Defending Quantum Classifiers against Adversarial Perturbations through Quantum Autoencoders

Emma Andrews, Sahan Sanjaya, Prabhat Mishra · 2026

Machine learning models can learn from data samples to carry out various tasks efficiently. When data samples are adversarially manipulated, such as by insertion of carefully crafted noise, it can cau…

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Computer Science Preprint PDF DOI

Superpolynomial Length Lower Bounds for Tree-Like Semantic Proof Systems with Bounded Line Size

Susanna F. de Rezende, David Engstrom, Yassine Ghannane, Kilian Risse · 2026

We prove superpolynomial length lower bounds for the semantic tree-like Frege refutation system with bounded line size. Concretely, for any function $n^{2-\varepsilon} \leq s(n) \leq 2^{n^{1-\varepsil…

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Engineering Preprint PDF DOI

RopeDreamer: A Kinematic Recurrent State Space Model for Dynamics of Flexible Deformable Linear Objects

Tim Missal, Lucas Domingues, Berk Guler, Simon Manschitz, Jan Peters, Paula Dornhofer Paro Costa · 2026

The robotic manipulation of Deformable Linear Objects (DLOs) is a fundamental challenge due to the high-dimensional, non-linear dynamics of flexible structures and the complexity of maintaining topolo…

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AI & Data Science Preprint PDF DOI

Intern-Atlas: A Methodological Evolution Graph as Research Infrastructure for AI Scientists

Yujun Wu, Dongxu Zhang, Xinchen Li, Jinhang Xu, Yiling Duan, Yumou Liu, Jiabao Pan, Xuanhe Zhou, Jingxuan Wei, Siyuan Li, Jintao Chen, Conghui He, Cheng Tan · 2026

Existing research infrastructure is fundamentally document-centric, providing citation links between papers but lacking explicit representations of methodological evolution. In particular, it does not…

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Engineering Preprint PDF DOI

FlexiTac: A Low-Cost, Open-Source, Scalable Tactile Sensing Solution for Robotic Systems

Binghao Huang, Yunzhu Li · 2026

We present FlexiTac, a low-cost, open-source, and scalable piezoresistive tactile sensing solution designed for robotic end-effectors. FlexiTac is a practical "plug-in" module consisting of (i) thin, …

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Engineering Preprint PDF DOI

Design and Characteristics of a Thin-Film ThermoMesh for the Efficient Embedded Sensing of a Spatio-Temporally Sparse Heat Source

Sajjad Boorghan Farahan, Ahmed Alajlouni, Jingzhou Zhao · 2026

This work presents ThermoMesh, a passive thin-film thermoelectric mesh sensor designed to detect and characterize spatio-temporally sparse heat sources through conduction-based thermal imaging. The de…

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AI & Data Science Preprint PDF DOI

On the Proper Treatment of Units in Surprisal Theory

Samuel Kiegeland, Vesteinn Sn{ae}bjarnarson, Tim Vieira, Ryan Cotterell · 2026

Surprisal theory links human processing effort to the predictability of an upcoming linguistic unit, but empirical work often leaves the notion of a unit underspecified. In practice, experimental stim…

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Computer Science Preprint PDF DOI

Claw-Eval-Live: A Live Agent Benchmark for Evolving Real-World Workflows

Chenxin Li, Zhengyang Tang, Huangxin Lin, Yunlong Lin, Shijue Huang, Shengyuan Liu, Bowen Ye, Rang Li, Lei Li, Benyou Wang, Yixuan Yuan · 2026

LLM agents are expected to complete end-to-end units of work across software tools, business services, and local workspaces. Yet many agent benchmarks freeze a curated task set at release time and gra…

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Physics Preprint PDF DOI

The DAMSA Experiment

Prithak Bhattarai, Andrew Brandt, Alan Bross, Bradley Brown, Samriddha Chakraborty, Haohui Che, Bhupal Dev, Bhaskar Dutta, Juan V. Estrada, Eric Garcia, Anthony Gomez, Gajendra Gurung, Brian Joshua Gomez Hernandez, Wooyoung Jang, Jay Hyun Jo, Krzysztof Jod{l}owski, Doojin Kim, Eunsu Kim, Hyunyong Kim, Shin Hyung Kim, Young-Kee Kim, Jing Liu, Chang-Seong Moon, Donna Naples, David Nygren, Minseok Oh, Vittorio Paolone, Hyangkyu Park, Jong-Chul Park, Nathaniel J. Pastika, Rohit Raut, Juergen Reichenbacher, Paul Rubinov, Eunsuk Seo, Veronika Shalamova, Seodong Shin, Melvin Shochet, Adrian Thompson, Yau Wah, Shawn Westerdale, Guang Yang, Un-Ki Yang, Inseok Yoon, Jaehoon Yu · 2026

DAMSA (DArk Messenger Searches at an Accelerator) is a novel short-baseline accelerator/beam dump experiment aimed at probing short-lived physics processes, including searches for evidence of a dark s…

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AI & Data Science Preprint PDF DOI

Normativity and Productivism: Ableist Intelligence? A Degrowth Analysis of AI Sign Language Translation Tools for Deaf People

Nina Seron-Abouelfadil, Poppy Fynes · 2026

Sign languages, of any geographical or accentual variation, understandably face continuous scrutiny under the ever present popularity of verbal dictation and audism. Through this, many potential probl…

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Mathematics Preprint PDF DOI

The proportion of permutations fixing a $k$-set

Ben Green, Mehtaab Sawhney · 2026

Denote by $p(k)$ the limit, as $n \rightarrow \infty$, of the probability that a random permutation on a set of size $n$ has an invariant set of size $k$. We give an asymptotic formula for $p(k)$, sho…

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Engineering Preprint PDF DOI

FreeOcc: Training-Free Embodied Open-Vocabulary Occupancy Prediction

Zeyu Jiang, Changqing Zhou, Xingxing Zuo, Changhao Chen · 2026

Existing learning-based occupancy prediction methods rely on large-scale 3D annotations and generalize poorly across environments. We present FreeOcc, a training-free framework for open-vocabulary occ…

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Mathematics Preprint PDF DOI

A Scaled Gradient Modified Non-monotone Line Search Method for Constrained Optimization Problems

Qamrul Hasan Ansari, Feeroz Babu, D. R. Sahu, Jen Chih Yao · 2026

In this paper, we propose a scaled gradient modified non-monotone line search method for solving constrained minimization problems, and explore several specific properties of this method, namely, its …

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Engineering Preprint PDF DOI

Hierarchical Control for Continuous-time Systems via General Approximate Alternating Simulation Relations

Zhiyuan Huang, Shuo Li, Murat Arcak, Majid Zamani, Bingzhuo Zhong · 2026

This paper introduces a general approximate alternating simulation relation (\emph{$\varepsilon$-gAAS relation}) for continuous-time systems, which relaxes existing simulation relations to tolerate la…

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