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AI & Data Science Preprint PDF DOI

HERMES++: Toward a Unified Driving World Model for 3D Scene Understanding and Generation

Xin Zhou, Dingkang Liang, Xiwu Chen, Feiyang Tan, Dingyuan Zhang, Hengshuang Zhao, Xiang Bai · 2026

Driving world models serve as a pivotal technology for autonomous driving by simulating environmental dynamics. However, existing approaches predominantly focus on future scene generation, often overl…

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Physics Preprint PDF DOI

Giant Spin Magnetization from Quantum Geometry in Altermagnets

Neelanjan Chakraborti, Sudeep Kumar Ghosh, Snehasish Nandy · 2026

Altermagnets host spin-split band structures while exhibiting vanishing equilibrium spin magnetization, making field-induced responses a direct probe of their quantum geometry. A central question, in …

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Physics Preprint PDF DOI

Many-mode grating couplers by avoiding undesired couplings

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

To couple many independent modes from free space to on chip, the key challenge is not enhancing the many necessary coupling rates (scattering-matrix elements) between targeted mode pairs. Instead, the…

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Engineering Preprint PDF DOI

LiDAR-based Dynamic Blockage Prediction: A Data-driven Approach for Learning Interactive Bayesian Models

Saleemullah Memon, Ali Krayani, Pamela Zontone, Lucio Marcenaro, David Martin Gomez, Carlo Regazzoni · 2026

Vehicular sensing-based intelligence has made substantial progress in transportation systems, leading to higher levels of safety and sustainability for smart cities and autonomous systems. This paper …

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AI & Data Science Preprint PDF DOI

Response to: "A note on conditional densities, Bayes' rule, and recent criticisms of Bayesian inference" by Yan et al., 2026

Klaus Mosegaard, Andrew Curtis · 2026

In a recent preprint (Mosegaard and Curtis, 2024, arXiv:2411.13570v2) we analyzed the consequences of ignoring the well-known inconsistency of classical conditional probability densities. We explained…

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Computer Science Preprint PDF DOI

Characterizing Path-Independent Fees: A Route to Zero Impermanent Loss in CPMMs

Andrey Voronin, Roman Vlasov, Vladimir Gorgadze, Andrey Seoev, Yury Yanovich · 2026

Constant Product Market Makers use fees that are typically fixed proportions of trade size. When these fees are automatically reinvested into the pool, as in Uniswap~V2 and some designs of Uniswap V4,…

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Neuroscience Preprint PDF DOI

Multisensory learning recruits visual neurons into an olfactory memory engram

Zeynep Okray, Nils Otto, Anna A. Cook, Clifford Talbot, Ashwin Miriyala, Martin Klappenbach, Ciara Stern, Kieran Desmond, Paola Vargas-Gutierrez, Scott Waddell · 2026

Associating multiple sensory cues with a single experience or object is a fundamental process that improves object recognition and memory performance. However, neural mechanisms that bind sensory feat…

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Mathematics Preprint PDF DOI

Noise-induced enhancement of regime lifetimes -- A data-driven approach using deterministic trajectories

Henry Schoeller, Robin Chemnitz, Peter Koltai, Maximilian Engel, Stephan Pfahl · 2026

We investigate the lifetime of dynamical regimes under the impact of noise motivated by low-dimensional models of the atmosphere. One may expect that the inclusion of noise tends to make the system le…

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Computer Science Preprint PDF DOI

Simpler and Improved Replacement Path Coverings

Davide Bilo, Shiri Chechik, Keerti Choudhary, Sarel Cohen, Martin Schirneck · 2026

An important tool in the design of fault-tolerant graph data structures are $(L,f)$-replacement path coverings (RPCs). An RPC is a family $\mathcal{G}$ of subgraphs of a given graph $G$ such that, for…

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AI & Data Science Preprint PDF DOI

GUI Agents with Reinforcement Learning: Toward Digital Inhabitants

Junan Hu, Jian Liu, Jingxiang Lai, Jiarui Hu, Yiwei Sheng, Shuang Chen, Jian Li, Dazhao Du, Song Guo · 2026

Graphical User Interface (GUI) agents have emerged as a promising paradigm for intelligent systems that perceive and interact with graphical interfaces visually. Yet supervised fine-tuning alone canno…

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Physics Preprint PDF DOI

Theory of quantum decoherence in macroscopic topological insulators

Xian-Peng Zhang, Yan-Qing Feng, Wanxiang Feng, Yugui Yao · 2026

Quantum decoherence-the loss of quantum coherence due to interactions with an environment-plays a central role in quantum transport, and controlling this ubiquitous yet inevitable phenomenon is essent…

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Physics Preprint PDF DOI

Towards High Performance Quantum Computing (HPQ): Parallelisation of the Hamiltonian Auto Decomposition Optimisation Framework (HADOF)

Namasi G Sankar, Georgios Miliotis, Simon Caton · 2026

Practical applicability of quantum optimisation on near term devices is constrained by limited qubit counts and hardware noise, which restricts the scalability of quantum optimisation algorithms for c…

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AI & Data Science Preprint PDF DOI

MCPHunt: An Evaluation Framework for Cross-Boundary Data Propagation in Multi-Server MCP Agents

Haonan Li, Tianjun Sun, Yongqing Wang, Qisheng Zhang · 2026

Multi-server MCP agents create an information-flow control problem: faithful tool composition can turn individually benign read/write permissions into cross-boundary credential propagation -- a struct…

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Physics Preprint PDF DOI

Bosonic Josephson junction dynamics: interplay between quantum and thermal fluctuations

Andrea Bardin, Francesco Lorenzi, Luca Salasnich · 2026

We investigate the superfluid dynamics of a Josephson junction beyond the mean-field description, incorporating the role of thermal fluctuations as well as quantum fluctuations. Using a formalism that…

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Mathematics Preprint PDF DOI

Separating Feasibility and Movement in Solution Discovery: The Case of Path Discovery

Hanno von Bergen, Larissa Fastenau, Enna Gerhard, Nicola Lorenz, Stephanie Maaz, Amer E. Mouawad, Roman Rabinovich, Nicole Schirrmacher, Daniel Schmand, Sebastian Siebertz, Mai Trinh · 2026

We study solution discovery, where the goal is to obtain a feasible solution to a problem from an initial configuration by a bounded sequence of local moves. In many applications, however, the graph t…

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AI & Data Science Preprint PDF DOI

Reversible Jump MCMC With No Regrets: Bayesian Variable Selection Using Mixtures of Mutually Singular Distributions

Don van den Bergh, Merlise A. Clyde, Adrian E. Raftery, Maarten Marsman · 2026

Bayesian variable selection requires sampling from a posterior distribution that combines discrete model indicators with continuously varying parameters, a challenge often addressed through reversible…

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Physics Preprint PDF DOI

Data-Efficient Indentation Size Effect Correction in Steels Using Machine Learning and Physics-Guided Augmentation

Radmir Karamov, Tagir Karamov · 2026

Shallow nanoindentation enables mechanical characterization of thin films, individual phases and other volume-constrained materials, but measured hardness is often inflated by the indentation size eff…

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Computer Science Preprint PDF DOI

Position-Aware Drafting for Inference Acceleration in LLM-Based Generative List-Wise Recommendation

Jiaju Chen, Chongming Gao, Chenxiao Fan, Haoyan Liu, Qingpeng Cai, Peng Jiang, Xiangnan He · 2026

Large language model (LLM)-based generative list-wise recommendation has advanced rapidly, but decoding remains sequential and thus latency-prone. To accelerate inference without changing the target d…

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Physics Preprint PDF DOI

Size-Limited Room Temperature Single-Photon Emission from Sidewall-Treated Fractional Dimension InGaN Quantum Dots: Determined by Density-of-States-Corrected Ultrafast Carrier Dynamics and Improved Signal-to-Noise Ratio

Pratim K. Saha · 2026

Room-temperature single-photon emission (SPE) resulting from a biexciton-exciton cascaded decay is demonstrated for the first time from chemically and photoelectrochemically etched site-controlled In0…

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Physics Preprint PDF DOI

Neuronal arithmetic operators based on Ovonic threshold switches (OTS) for biologically inspired analog computing

Jingyeong Hwang, Jaesang Lee, Jiin Bang, Younghyun Lee, Unhyeon Kang, Seungmin Oh, Kyungmin Lee, Jaehyun Park, Seongsik Park, Hyun Jae Jang, Sangbum Kim, Min Hyuk Park, Suyoun Lee · 2026

Biological neurons perform arithmetic computations - including additive integration and divisive gain modulation - through synaptic conductance changes and shunting inhibition, enabling context-depend…

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