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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 ยท 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, forโ€ฆ

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AI & Data Science Preprint PDF DOI

Residual Gaussian Splatting for Ultra Sparse-View CBCT Reconstruction

Jian Lin, Jiancheng Fang, Shaoyu Wang, Changan Lai, Yikun Zhang, Yang Chen, Qiegen Liu ยท 2026

While 3D Gaussian splatting (3DGS) offers explicit and efficient scene representations for cone-beam computed tomography reconstruction, conventional photometric optimization inherently suffers from sโ€ฆ

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Mathematics Preprint PDF DOI

Continuous-time q-learning for mean-field control with common noise, part-II: q-learning algorithms

Zhenjie Ren, Xiaoli Wei, Xiang Yu, Xun Yu Zhou ยท 2026

This paper is a continuation work of Ren et al. (2026) aiming to further devise q-learning algorithms for mean-field control (MFC) with controlled common noise. Based on the relaxed control formulatioโ€ฆ

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Physics Preprint PDF DOI

Digital Simulation of Non-Hermitian Knotted Bands on Quantum Hardware

Truman Yu Ng, Yuzhu Wang, Wei Jie Chan, Ruizhe Shen, Tianqi Chen, Ching Hua Lee ยท 2026

Knots and links represent a fundamental motif of non-local connectivity that permeates the physical sciences from string theory to protein folds. While spectral braiding has been explored in two-band โ€ฆ

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Computer Science Preprint PDF DOI

Path-Reporting Distance Oracles for Vertex-Labeled Graphs

Ofer Neiman, Alon Spector ยท 2026

Let $G=(V,E)$ be a weighted undirected graph, with $n$ vertices. A distance oracle is a data structure that can quickly answer distance queries, with some stretch factor. A seminal work of \cite{TZ01}โ€ฆ

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Physics Preprint PDF DOI

Randomised measurements of a disorder-induced entanglement transition in a neutral atom quantum processor

Apollonas S. Matsoukas-Roubeas, Oscar Scholin, Lucas Sa, Arinjoy De, Majd Hamdan, Alexei Bylinskii, Andrew J. Daley, Dorian A. Gangloff ยท 2026

The development and spread of entanglement in complex quantum systems is central to exploring many-body phenomena out of equilibrium. Measuring entanglement dynamics can shed light on information scraโ€ฆ

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Physics Preprint PDF DOI

Energy spectrum of magnetic fields from electroweak symmetry breaking

Karoly Seller, Gunter Sigl ยท 2026

We study the magnetic fields produced in the early Universe during the electroweak symmetry breaking by considering random configurations of an inhomogeneous Higgs field. By exploiting the inherent raโ€ฆ

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AI & Data Science Preprint PDF DOI

Unconstrained Multi-view Human Pose Estimation with Algebraic Priors

Xiaolin Qin, Qianlei Wang, Jiacen Liu, Chaoning Zhang, Fei Zhu, Zhang Yi ยท 2026

Recovering 3D human pose from multi-view imagery typically relies on precise camera calibration, which is often unavailable in real-world scenarios, thereby severely limiting the applicability of exisโ€ฆ

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AI & Data Science Preprint PDF DOI

GeoEdit: Local Frames for Fast, Training-Free On-Manifold Editing in Diffusion Models

Yiming Zhang, Sitong Liu, Ke Li, Zhihong Wu, Alex Cloninger, Melvin Leok ยท 2026

Diffusion models are a leading paradigm for data generation, but training-free editing typically re-runs the full denoising trajectory for every edit strength, making iterative refinement expensive. Tโ€ฆ

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Physics Preprint PDF DOI

Peak-valley mechanism for Hilbert space fragmentation

Jianlong Fu, Hoi Chun Po ยท 2026

Ergodicity breaking in isolated systems has emerged as an important frontier in the study of quantum many-body physics. While generic Hamiltonians are expected to obey the eigenstate thermalization hyโ€ฆ

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Computer Science Preprint PDF DOI

Prompt-Unknown Promotion Attacks against LLM-based Sequential Recommender Systems

Yuchuan Zhao, Tong Chen, Junliang Yu, Zongwei Wang, Lizhen Cui, Hongzhi Yin ยท 2026

Large language model-powered sequential recommender systems (LLM-SRSs) have recently demonstrated remarkable performance, enabling recommendations through prompt-driven inference over user interactionโ€ฆ

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AI & Data Science Preprint PDF DOI

To See the Unseen: on the Generalization Ability of Transformers in Symbolic Reasoning

Nevena Lazic, Liam Fowl, Andras Gyorgy, Csaba Szepesvari ยท 2026

We investigate the ability of decoder-only transformer models to perform abstract symbolic reasoning; specifically solving propositional logic reasoning problems given in-context. Previous work demonsโ€ฆ

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Mathematics Preprint PDF DOI

Smoothness of Inertial Manifold for the Burgers Equation

Ziqi Niu, Xinhua Li, Chunyou Sun, Xiaoqing Yang ยท 2026

This paper establishes a ${C^{n,\varepsilon }}$-smooth extension of the inertial manifold for the one-dimensional Burgers equation, which demonstrates that its long-time behavior can be completely detโ€ฆ

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Computer Science Preprint PDF DOI

PVAC: A RowHammer Mitigation Architecture Exploiting Per-victim-row Counting

Jumin Kim, Seungmin Baek, Hwayong Nam, Minbok Wi, Nam Sung Kim, Jung Ho Ahn ยท 2026

As DRAM scaling exacerbates RowHammer, DDR5 introduces per-row activation counting (PRAC) to track aggressor activity. However, PRAC indiscriminately increments counters on every activation -- includiโ€ฆ

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Engineering Preprint PDF DOI

Think before Go: Hierarchical Reasoning for Image-goal Navigation

Pengna Li, Kangyi Wu, Shaoqing Xu, Fang Li, Lin Zhao, Long Chen, Zhi-Xin Yang, Nanning Zheng ยท 2026

Image-goal navigation steers an agent to a target location specified by an image in unseen environments. Existing methods primarily handle this task by learning an end-to-end navigation policy, which โ€ฆ

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AI & Data Science Preprint PDF DOI

Playing Psychic: Using Thought Trees to Predict Reasoning Models Accuracy on Coding Tasks

Jiaxin Fang, Runyuan He, Sahil Bhatia, Neel Gajare, Alvin Cheung ยท 2026

Recent advances in large language models (LLMs) have shown that test-time scaling can substantially improve model performance on complex tasks, particularly in the coding domain. Under this paradigm, โ€ฆ

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AI & Data Science Preprint PDF DOI

Convolutionally Low-Rank Models with Modified Quantile Regression for Interval Time Series Forecasting

Miaoxuan Zhu, Yi Yu, Yuyang Li, Wei Li, Guangcan Liu ยท 2026

The quantification of uncertainty in prediction models is crucial for reliable decision-making, yet remains a significant challenge. Interval time series forecasting offers a principled solution to thโ€ฆ

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Physics Preprint PDF DOI

Energy conditions in static, spherically symmetric spacetimes and effective geometries

Zi-Liang Wang, Emmanuele Battista ยท 2026

Classical energy conditions are investigated in generic static and spherically symmetric spacetimes. In setups with nonconstant $g_{tt} g_{rr}$, the appearance of horizons can signal the violation of โ€ฆ

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Computer Science Preprint PDF DOI

Combinatorial Contracts Through Demand Types

Elizabeth Baldwin, Paul Duetting, Michal Feldman, Maya Schlesinger ยท 2026

In the combinatorial action model of contract design, a principal delegates a complex project to an agent, incentivizing a subset of actions from a ground set of $n$ actions, via a linear contract. Coโ€ฆ

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Physics Preprint PDF DOI

Exact Toda Black Holes of Rank-2 Lie Groups

H. Lu, Peng-Yu Wu, Ze-Hua Wu, Weicheng Zhao ยท 2026

We consider Einstein gravity coupled to two Maxwell fields and one dilatonic scalar, and construct spherically-symmetric and static black holes that are charged under both Maxwell fields in general $Dโ€ฆ

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