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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

Residual Gaussian Splatting for Ultra Sparse-View CBCT Reconstruction

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

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

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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 · 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 formulatio…

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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 · 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 …

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Computer Science Preprint PDF DOI

Path-Reporting Distance Oracles for Vertex-Labeled Graphs

Ofer Neiman, Alon Spector · 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}…

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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 · 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 scra…

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Physics Preprint PDF DOI

Energy spectrum of magnetic fields from electroweak symmetry breaking

Karoly Seller, Gunter Sigl · 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 ra…

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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 · 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 exis…

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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 · 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. T…

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Physics Preprint PDF DOI

Peak-valley mechanism for Hilbert space fragmentation

Jianlong Fu, Hoi Chun Po · 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 hy…

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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 · 2026

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

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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 · 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 demons…

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Mathematics Preprint PDF DOI

Smoothness of Inertial Manifold for the Burgers Equation

Ziqi Niu, Xinhua Li, Chunyou Sun, Xiaoqing Yang · 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 det…

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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 · 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 -- includi…

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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 · 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 …

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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 · 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, …

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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 · 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 th…

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Physics Preprint PDF DOI

Energy conditions in static, spherically symmetric spacetimes and effective geometries

Zi-Liang Wang, Emmanuele Battista · 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 …

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Computer Science Preprint PDF DOI

Combinatorial Contracts Through Demand Types

Elizabeth Baldwin, Paul Duetting, Michal Feldman, Maya Schlesinger · 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. Co…

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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 · 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 $D…

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