output
19932026

15,722 papers

eess.SY2026

Thermal-Mass Coupled Modeling and Optimal Scheduling of Aluminum Smelting Loads for Safe Demand Response Participation

Yan Shen, Ruike Lyu, Shuoqi Wang +3

Aluminum smelting loads (ASLs) offer substantial flexibility potential, yet their actual participation in demand response remains conservative owing to the risk of operational fail…

astro-ph.GA2026

Non-Axisymmetric Pillar Structures due to Embedded Stars in AGN Accretion Discs

Jiamu Huang, Douglas N. C. Lin, Keith Horne

Gravitationally unstable outer regions of AGN discs may host in situ formation of massive stars whose heating produces localized vertical "pillars" on the disc surface, in the same…

astro-ph.GA2026

The PAU Survey: Active galactic nucleus galaxies in galaxy pairs

F. Duplancic, M. Siudek, D. Navarro-Gironés +21

Aims. Leveraging the high-precision photometric redshifts of the Physics of the Accelerating Universe Survey (PAUS), we aim to investigate the connection between active galactic nu…

astro-ph.GA2026

A high-Galactic-altitude scattering screen: scintillation from Globular Cluster pulsar M53A

Qiuyi He, Xun Shi, Dejiang Yin +1

While known interstellar scattering screens are largely confined to the Galactic disk, the scattering properties of the circumgalactic medium (CGM) in the deep Galactic halo have r…

eess.SY2026

Comparison of Current-Limiting Strategies for Grid-Forming Converters Under Grid Faults

Maitraya Avadhut Desai, Ramona Stoll, Xiuqiang He +2

This paper investigates the performance of three state-of-the-art current-limiting strategies for grid-forming (GFM) converters under grid faults. These highly effective strategies…

cs.AR2026

GUMPIM: Unitary and Malleable Memory for Processing-in-Memory with Guaranteed PIM Pages

Yilong Zhao, Fangxin Liu, Yiwei Hu +13

DRAM-based Processing-in-Memory (PIM) addresses the "memory wall" by executing computations directly inside main memory. However, memory interleaving and virtual memory limit conti…

quant-ph2026

Deterministic and Programmable Fusion for Scalable Generation of Photonic Graph States

Yan Li, Yunfan Yang, Zenghui Bao +6

Entanglement in multiphoton graph states is an important resource with various applications, such as measurement-based quantum computing and memory-less quantum repeaters. While so…

quant-ph2026★ 15 cited

Cryogenic Multiplexing Control Chip for Superconducting Quantum Processor

Rutian Huang, Xiao Geng, Xinyu Wu +4

This paper proposes a scheme and design of cryogenic multiplexing control chip (MCC) which enables one microwave cable to control many superconducting qubits. Designed based on adj…

astro-ph.GA2026

Identifying the principal mechanism of star formation feedback

Chong Li, Rouyu Li, Keping Qiu +27

Feedback from massive stars regulates the formation of next-generation stars and planets and thus shapes the evolution of galaxies, yet observational evidence capable of determinin…

cond-mat.supr-con2026

From band reconstruction to Bogoliubov dispersion: How dz2-band enhances iron-based superconductivity

Jingming Yan, Shendong Su, Guihao Jia +6

Conventional understanding of iron-based superconductivity is usually established based on electronic bands at the Fermi level, leaving deeper bands overlooked as potential factor.…

cs.LG2026

Graph Learning with Spectral Connectivity Priors for Scarce Data

Mingxiao Liu, Bahar Oveisgharan, Bingyan Zou +3

Learning a sparse graph from scarce data is practically important but challenging. Motivated by the desirable combination of local sparsity and strong global connectivity exhibited…

math.AT2026

Signed GLMY Homology of Signed Graphs via Double Covers

Shuliang Bai, Jingyan Li, Shing-Tung Yau

We define a signed GLMY chain complex over for signed digraphs using sheet-labelled regular paths. The complex is naturally isomorphic to the deck anti-invariant subco…

cs.DB2026

Data Agents: Agentic Data Systems

Guoliang Li, Peiyao Zhou, Xuanhe Zhou +3

Traditional data systems face profound limitations in the AI era, relying on human-crafted pipelines, lacking semantic understanding of heterogeneous data, and operating through ri…

stat.ME2026

Doubly robust target inference for generalized linear regression with completely missing covariates

Huali Zhao, Ke Deng

Large-scale multipurpose cohort studies and biobanks often omit covariates needed for specific downstream analyses. We study target-population inference for generalized linear regr…

quant-ph2026

Trace-distance-based complementarity relations in a multipath interferometer

Yue Sun, Jingyan Liu, Peng-Tong Li +2

The complementarity relations in an interferometer reflect an important phenomenon in quantum mechanics: wave-particle duality. Here, we develop a method to quantify both wave and…

cs.CV2026

G6D: Geometric Learning-Free RGB-D 6D Pose Solver for Robotic Manipulation

Yixuan Liang, William Chen, Yunan Wang +4

6D object pose estimation is fundamental to robotic manipulation and automation. Recent zero-shot methods have significantly improved generalization to unseen objects, but most sti…

cs.DS2026

Union-Find with Constant-Time Deletions Across the Optimal Worst-Case Tradeoff

Hanqing Li, Ze Hong

We consider union-find with deletions, where the representation and the cost of a query must depend on the current number of live elements rather than on the number of elements eve…

cs.CV2026

Human-Level Accuracy, Non-Human Strategies: Revealing Model-Human Divergence in Video Physical Reasoning

Fanhong Li, Shurui Zheng, Zi Yin +3

Video foundation models now reach human-level accuracy on physical-reasoning benchmarks, yet such tasks require predicting unobserved physical outcomes. Do these models perform hum…

astro-ph.GA2026

Supernova origin of galactic turbulence revealed by superbubbles

Fanyi Meng, Chao-Wei Tsai, Jingwen Wu +13

Supernovae (SNe) are among the leading candidates for powering galactic-scale turbulence. SNe drive expanding shells of neutral atomic hydrogen (HI) known as superbubbles. Due to t…

cs.CV2026★ 2 cited

GAPrompt++: Multi-Granular Geometry-Aware Point Cloud Prompt for 3D Vision Model

Zixiang Ai, Zhenyu Cui, Yufei Guo +4

Pre-trained 3D vision models have substantially advanced point cloud analysis, yet adapting them to downstream tasks via full fine-tuning is computationally expensive and storage-i…

cs.RO2026

Fetch My Beer: Synthetic-to-real Hierarchical Policy for Smooth Pick-and-place

Yingyue Li, Chenyangguang Zhang, Ruida Zhang +3

Many real-world robotic applications require dynamically sensitive manipulation, where success depends not only on reaching a target state but on maintaining stable object dynamics…

cs.SE2026

EchoFuzz: Empowering Smart Contract Fuzzing with Large Language Models

Juanen Li, Peng Qian, Guanyan Li +6

Smart contracts, serving as the cornerstone of decentralized applications, autonomously manage trillion-dollar digital assets, making them attractive targets for attacks. Fuzzing h…

astro-ph.SR2026

SN 2021pfs: A Type Ia Supernova Likely Affected by Progenitor Metallicity, as Revealed by Comparison with Its Twin Counterpart

Abdusamatjan Iskandar, Xiaofeng Wang, Ali Esamdin +16

We present extensive photometric and spectroscopic observations of the normal type Ia supernovae (SNe Ia) 2021pfs, which occurred in the Seyfert 2 galaxy NGC 5427 at a redshift 0.0…

cs.CR2026

Implicit Manipulation for Skill Selection in LLM Agents with Semantic Matching

Qikai Wang, Yongzhao Zhang, Zhiwei Chen +3

Skill selection is a key stage in LLM-agent workflows, determining which installed skill should handle a user request. Existing attacks on this stage primarily rely on explicit pro…