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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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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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Computer Science Preprint PDF DOI

Unsafe and Unused? A History of Utility Code in Mature Open Source Projects

Brandon Keller, Kaitlin Yandik, Angela Ngo, Andy Meneely · 2026

Filenames are a concise means of conveying information about source code to fellow developers. One such convention is util. Commonly understood to stand for "utility", filenames with the letters util …

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AI & Data Science Preprint PDF DOI

Global Optimality for Constrained Exploration via Penalty Regularization

Florian Wolf, Ilyas Fatkhullin, Niao He · 2026

Efficient exploration is a central problem in reinforcement learning and is often formalized as maximizing the entropy of the state-action occupancy measure. While unconstrained maximum-entropy explor…

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AI & Data Science Preprint PDF DOI

PRISM: Pre-alignment via Black-box On-policy Distillation for Multimodal Reinforcement Learning

Sudong Wang, Weiquan Huang, Xiaomin Yu, Zuhao Yang, Hehai Lin, Keming Wu, Chaojun Xiao, Chen Chen, Wenxuan Wang, Beier Zhu, Yunjian Zhang, Chengwei Qin · 2026

The standard post-training recipe for large multimodal models (LMMs) applies supervised fine-tuning (SFT) on curated demonstrations followed by reinforcement learning with verifiable rewards (RLVR). H…

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AI & Data Science Preprint PDF DOI

Auto-FlexSwitch: Efficient Dynamic Model Merging via Learnable Task Vector Compression

Junqi Gao, Dazhi Zhang, Zhichang Guo, Biqing Qi, Yi Ran, Wangmeng Zuo · 2026

Model merging has attracted attention as an effective path toward multi-task adaptation by integrating knowledge from multiple task-specific models. Among existing approaches, dynamic merging mitigate…

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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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Computer Science Preprint PDF DOI

NeuroRing: Scaling Spiking Neural Networks via Multi-FPGA Bidirectional Ring Topologies and Stream-Dataflow Architectures

Muhammad Ihsan Al Hafiz, Artur Podobas · 2026

Spiking neural networks (SNNs) are a promising paradigm for energy-efficient event-driven computation, but large-scale SNN execution remains challenging because sparse spike communication and synchron…

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Physics Preprint PDF DOI

Multimode grating couplers via foundry-compliant inverse design

Hao Li, Nazar Pyvovar, Zhaowei Dai, Owen D. Miller · 2026

We apply a systematic inverse design approach to discover foundry-compliant, multilayer grating couplers that can efficiently couple a number of independent waves from free space to on-chip propagatin…

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Physics Preprint PDF DOI

Branch-Resolved Characterization of Feed-Forward Error in Dynamic Teleportation via Classical Choi Shadows

Mason Edwards, Prabhat Mishra · 2026

Mid-circuit measurement and classical feed-forward are essential primitives for dynamic-circuit teleportation on superconducting quantum processors. However, the error associated with measurement-cond…

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AI & Data Science Preprint PDF DOI

Faster 3D Gaussian Splatting Convergence via Structure-Aware Densification

Linjie Lyu, Ayush Tewari, Jianchun Chen, Thomas Leimkuhler, Christian Theobalt · 2026

3D Gaussian Splatting has emerged as a powerful scene representation for real-time novel-view synthesis. However, its standard adaptive density control relies on screen-space positional gradients, whi…

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Physics Preprint PDF DOI

Learning quantum disentanglement scheduling from reduced states via modular hybrid policies

Y.-X. Xiao, J.-Z. Han, Z. Zheng, Z.-H. Zhang, M. Xue, J. Li, X. Lv · 2026

Quantum control with restricted state access is central to near-term quantum devices, where full wave-function information is unavailable. We study this problem through multiqubit disentanglement sche…

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Physics Preprint PDF DOI

A common four-beam geometry reveals altitude-stratified GeV pulses in canonical young pulsars

Paul K. H. Yeung, Takayuki Saito · 2026

Despite the diversity and energy dependence of $\gamma$-ray pulse morphologies in Crab, Vela and Dragonfly, the phaseograms of these three canonical young pulsars can be organised within a single four…

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Computer Science Preprint PDF DOI

On Higher-Order Probabilistic Verification via the Weighted Relational Model of Linear Logic

Ugo Dal Lago, Guido Fiorillo, Paolo Pistone · 2026

The problem of determining whether a probabilistic program terminates almost surely (i.e.~with probability one) is undecidable, and actually $\Pi^0_2$-complete. For this reason, a growing literature h…

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Computer Science Preprint PDF DOI

Distributed Santa Claus via Global Rounding

Tijn de Vos, Leo Wennmann, Malte Baumecker, Yannic Maus, Florian Schager · 2026

In this paper, we consider the Santa Claus problem in the CONGEST model. This NP-hard problem can be modeled as a bipartite graph of children and gifts where an edge indicates that a child desires a g…

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Physics Preprint PDF DOI

Near--extremal gravitational collapse in 4+1 dimensions: Schwarzschild--de--Sitter space

Maciej Dunajski, Sebastian J. Szybka · 2026

We numerically study a formation of near extremal horizons from a gravitational collapse of radially symmetric gravitational waves in $4+1$ dimensions within the framework of pure Einstein gravity wit…

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Computer Science Preprint PDF DOI

From Mirage to Grounding: Towards Reliable Multimodal Circuit-to-Verilog Code Generation

Guang Yang, Xing Hu, Xiang Chen, Xin Xi · 2026

Multimodal large language models (MLLMs) are increasingly used to translate visual artifacts into code, from UI mockups into HTML to scientific plots into Python scripts. A circuit diagram can be view…

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AI & Data Science Preprint PDF DOI

Language Models Refine Mechanical Linkage Designs Through Symbolic Reflection and Modular Optimisation

Joao Pedro Gandarela, Thiago Rios, Stefan Menzel, Andre Freitas · 2026

Designing mechanical linkages involves combinatorial topology selection and continuous parameter fitting. We show that language models can systematically improve linkage designs through symbolic repre…

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AI & Data Science Preprint PDF DOI

Training-Free Tunnel Defect Inspection and Engineering Interpretation via Visual Recalibration and Entity Reconstruction

Shipeng Liu, Liang Zhao, Dengfeng Chen, Zhanping Song · 2026

Tunnel inspection requires outputs that can support defect localization, measurement, severity grading, and engineering documentation. Existing training-free foundation-model pipelines usually stop at…

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Mathematics Preprint PDF DOI

Data-Driven Continuous-Time Linear Quadratic Regulator via Closed-Loop and Reinforcement Learning Parameterizations

Armin Gie{ss}ler, Felix Thommes, Soren Hohmann · 2026

This paper studies data-driven approaches to the continuous-time linear quadratic regulator (LQR) problem based on two existing parameterizations, namely a closed-loop (CL) parameterization from behav…

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