Tootfinder

Role of non-thermal processes in the quiescent and active millimeter spectrum of a young M-dwarf
Atul Mohan, Peter H. Hauschildt, Birgit Fuhrmeister, Surajit Mondal, Vladimir Airapetian, Sven Wedemeyer
https://arxiv.org/abs/2506.19779

Role of non-thermal processes in the quiescent and active millimeter spectrum of a young M-dwarf
Millimeter (mm) emission from F - M dwarfs (cool stars) primarily traces chromospheric activity, with thermal emission thought to dominate in quiescence. Despite the high chromospheric activity, the quiescent mm spectral fluence (mm-S($ν$)) of young (< 1 Gyr) M dwarfs (dMs) remain largely unexplored. We present the quiescent mm-S($ν$) of a young dM, ADLeo, observed around 94 GHz using the Northern Extended Millimetre Array (NOEMA). The observed quiescent mm-S($ν$) exceeds the thermal flux de…

CORONA: A Coarse-to-Fine Framework for Graph-based Recommendation with Large Language Models
Junze Chen, Xinjie Yang, Cheng Yang, Junfei Bao, Zeyuan Guo, Yawen Li, Chuan Shi
https://arxiv.org/abs/2506.17281

CORONA: A Coarse-to-Fine Framework for Graph-based Recommendation with Large Language Models
Recommender systems (RSs) are designed to retrieve candidate items a user might be interested in from a large pool. A common approach is using graph neural networks (GNNs) to capture high-order interaction relationships. As large language models (LLMs) have shown strong capabilities across domains, researchers are exploring their use to enhance recommendation. However, prior work limits LLMs to re-ranking results or dataset augmentation, failing to utilize their power during candidate filtering…

Generative Diffusion Receivers: Achieving Pilot-Efficient MIMO-OFDM Communications
Yuzhi Yang, Omar Alhussein, Atefeh Arani, Zhaoyang Zhang, M\'erouane Debbah
https://arxiv.org/abs/2506.18419

Generative Diffusion Receivers: Achieving Pilot-Efficient MIMO-OFDM Communications
This paper focuses on wireless multiple-input multiple-output (MIMO)-orthogonal frequency division multiplex (OFDM) receivers. Traditional wireless receivers have relied on mathematical modeling and Bayesian inference, achieving remarkable success in most areas but falling short in their ability to characterize channel matrices. Neural networks (NNs) have demonstrated significant potential in this aspect. Nevertheless, integrating traditional inference methods with NNs presents challenges, part…

An Ejection Event Captured by VLBI During the Outburst of Swift J1727.8$-$1613
Hongmin Cao, Jun Yang, S\'andor Frey, Callan M. Wood, James C. A. Miller-Jones, Krisztina \'E. Gab\'anyi, Giulia Migliori, Marcello Giroletti, Lang Cui, Tao An, Xiaoyu Hong, Weihua Wang
https://arxiv.org/abs/2506.18817

An Ejection Event Captured by VLBI During the Outburst of Swift J1727.8$-$1613
We observed a newly-discovered Galactic black hole X-ray binary Swift J1727.8$-$1613 with the European Very Long Baseline Interferometry Network (EVN) at 5 GHz. The observation was conducted immediately following a radio quenching event detected by the Karl G. Jansky Very Large Array (VLA). The visibility amplitude evolution over time reveals a large-amplitude radio flare and is consistent with an ejection event. The data can be interpreted either as a stationary component (i.e., the radio core…

Orbital FFLO and layer-selective FFLO phases in trilayer NbSe$_2$
Michiya Chazono, Youichi Yanase
https://arxiv.org/abs/2506.19706 https://

Orbital FFLO and layer-selective FFLO phases in trilayer NbSe$_2$
Finite-momentum superconductivity has become an important research topic in condensed matter physics. In particular, the orbital Fulde-Ferrell-Larkin-Ovchinnikov (FFLO) state, which is stabi lized in atomically thin films by the orbital effect of an external magnetic field, has been getting attention as a fascinating finite-momentum superconducting state recently. We study the phase diagram of the trilayer Ising superconductor NbSe$_2$ in the in-plane magnetic field, taking into ac count the or…

#Sting 1986, when I was young:
****
In Europe and America
There's a growing feeling of hysteria
Conditioned to respond to all the threats
In the rhetorical speeches of the Soviets
Mr. Khrushchev said, "We will bury you"
I don't subscribe to this point of view
It would be such an ignorant thing to do
If the Russians love their children …

Binary Neutron Star Mergers as Potential Sources for Ultra-High-Energy Cosmic Rays and High-Energy Neutrinos
Gang Guo, Yong-Zhong Qian, Meng-Ru Wu
https://arxiv.org/abs/2506.17581

Binary Neutron Star Mergers as Potential Sources for Ultra-High-Energy Cosmic Rays and High-Energy Neutrinos
Recent studies suggest that the most energetic cosmic rays, exceeding 100 EeV, may primarily consist of $r$-process nuclei. This highlights binary neutron star mergers and collapsars as promising sources of ultra-high-energy cosmic rays (UHECRs). Building on these insights, we examine the conditions that facilitate the efficient production of UHE $r$-process nuclei during the prompt radiation (PR), extended emission (EE), and plateau emission phases of short gamma-ray bursts (sGRBs) following n…

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation
Ning Gao, Yilun Chen, Shuai Yang, Xinyi Chen, Yang Tian, Hao Li, Haifeng Huang, Hanqing Wang, Tai Wang, Jiangmiao Pang
https://arxiv.org/abs/2506.10966

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation
Robotic manipulation in real-world settings remains challenging, especially regarding robust generalization. Existing simulation platforms lack sufficient support for exploring how policies adapt to varied instructions and scenarios. Thus, they lag behind the growing interest in instruction-following foundation models like LLMs, whose adaptability is crucial yet remains underexplored in fair comparisons. To bridge this gap, we introduce GenManip, a realistic tabletop simulation platform tailore…

VerIF: Verification Engineering for Reinforcement Learning in Instruction Following
Hao Peng, Yunjia Qi, Xiaozhi Wang, Bin Xu, Lei Hou, Juanzi Li
https://arxiv.org/abs/2506.09942 …

VerIF: Verification Engineering for Reinforcement Learning in Instruction Following
Reinforcement learning with verifiable rewards (RLVR) has become a key technique for enhancing large language models (LLMs), with verification engineering playing a central role. However, best practices for RL in instruction following remain underexplored. In this work, we explore the verification challenge in RL for instruction following and propose VerIF, a verification method that combines rule-based code verification with LLM-based verification from a large reasoning model (e.g., QwQ-32B). …

Full-Gap Superconductivity in BaAs/Ferropnictide Heterostructures
Ming-Qiang Ren, Qiang-Jun Cheng, Hui-Hui He, Ze-Xian Deng, Fang-Jun Cheng, Yong-Wei Wang, Cong-Cong Lou, Qinghua Zhang, Lin Gu, Kai Liu, Xu-Cun Ma, Qi-Kun Xue, Can-Li Song
https://arxiv.org/abs/2506.16276

Full-Gap Superconductivity in BaAs/Ferropnictide Heterostructures
Interfacial interactions often promote the emergence of unusual phenomena in two-dimensional systems, including high-temperature superconductivity. Here, we report the observation of full-gap superconductivity with a maximal spectroscopic temperature up to 26 K in a BaAs monolayer grown on ferropnictide Ba(Fe$_{1-x}$Co$_x$)$_2$As$_2$ (abbreviated as BFCA) epitaxial films. The superconducting gap remains robust even when the thickness of underlying BFCA is reduced to the monolayer limit, in cont…