Tootfinder

This https://arxiv.org/abs/2408.09955 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csMA_…

MegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPs
LLM-based multi-agent systems (MAS) have shown promise in tackling complex tasks. However, existing solutions often suffer from limited agent coordination and heavy reliance on predefined Standard Operating Procedures (SOPs), which demand extensive human input. To address these limitations, we propose MegaAgent, a large-scale autonomous LLM-based multi-agent system. MegaAgent generates agents based on task complexity and enables dynamic task decomposition, parallel execution, efficient communic…

Localization-Based Beam Focusing in Near-Field Communications
Nima Mozaffarikhosravi, Prathapasinghe Dharmawansa, Italo Atzeni
https://arxiv.org/abs/2506.21325

Localization-Based Beam Focusing in Near-Field Communications
Shifting 6G-and-beyond wireless communication systems to higher frequency bands and the utilization of massive multiple-input multiple-output arrays will extend the near-field region, affecting beamforming and user localization schemes. In this paper, we propose a localization-based beam-focusing strategy that leverages the dominant line-of-sight (LoS) propagation arising at mmWave and sub-THz frequencies. To support this approach, we analyze the 2D-MUSIC algorithm for distance estimation by ex…

A Few Fit Most: Improving Performance Portability of SGEMM on GPUs using Multi-Versioning
Robert Hochgraf (Rochester Institute of Technology), Sreepathi Pai (University of Rochester)
https://arxiv.org/abs/2507.15277

A Few Fit Most: Improving Performance Portability of SGEMM on GPUs using Multi-Versioning
Hand-optimizing linear algebra kernels for different GPU devices and applications is complex and labor-intensive. Instead, many developers use automatic performance tuning (autotuning) to achieve high performance on a variety of devices. However, autotuning "overfits", and must be redone if any part of the environment changes, such as if the device or input characteristics change. In most non-trivial cases, a single compute kernel cannot maintain near-optimal performance across all environmen…

Flow-Aware Diffusion for Real-Time VR Restoration: Enhancing Spatiotemporal Coherence and Efficiency
Yitong Zhu, Guanxuan Jiang, Zhuowen Liang, Yuyang Wang
https://arxiv.org/abs/2506.18786

Flow-Aware Diffusion for Real-Time VR Restoration: Enhancing Spatiotemporal Coherence and Efficiency
Cybersickness remains a critical barrier to the widespread adoption of Virtual Reality (VR), particularly in scenarios involving intense or artificial motion cues. Among the key contributors is excessive optical flow-perceived visual motion that, when unmatched by vestibular input, leads to sensory conflict and discomfort. While previous efforts have explored geometric or hardware based mitigation strategies, such methods often rely on predefined scene structures, manual tuning, or intrusive eq…

Contraction, Criticality, and Capacity: A Dynamical-Systems Perspective on Echo-State Networks
Pradeep Singh, Lavanya Sankaranarayanan, Balasubramanian Raman
https://arxiv.org/abs/2507.18467

Contraction, Criticality, and Capacity: A Dynamical-Systems Perspective on Echo-State Networks
Echo-State Networks (ESNs) distil a key neurobiological insight: richly recurrent but fixed circuitry combined with adaptive linear read-outs can transform temporal streams with remarkable efficiency. Yet fundamental questions about stability, memory and expressive power remain fragmented across disciplines. We present a unified, dynamical-systems treatment that weaves together functional analysis, random attractor theory and recent neuroscientific findings. First, on compact multivariate input…

"In coming weeks, proposed job cuts and restructures will be released for the Academic Portfolio, Research and Innovation Portfolio, the College of Science and Medicine, and the College of Arts and Social Sciences."
https://www.abc.net.au/news/2025…

Australian National University announces first round of job cuts as part of effort to turn around financial issues
As the Australian National University grapples with its dire financial position, the first of several rounds of job cuts has been announced as the institution seeks to save $250 million by the end of the year, including $100 million from salaries.

Casper: Inferring Diverse Intents for Assistive Teleoperation with Vision Language Models
Huihan Liu, Rutav Shah, Shuijing Liu, Jack Pittenger, Mingyo Seo, Yuchen Cui, Yonatan Bisk, Roberto Mart\'in-Mart\'in, Yuke Zhu
https://arxiv.org/abs/2506.14727

Casper: Inferring Diverse Intents for Assistive Teleoperation with Vision Language Models
Assistive teleoperation, where control is shared between a human and a robot, enables efficient and intuitive human-robot collaboration in diverse and unstructured environments. A central challenge in real-world assistive teleoperation is for the robot to infer a wide range of human intentions from user control inputs and to assist users with correct actions. Existing methods are either confined to simple, predefined scenarios or restricted to task-specific data distributions at training, limit…

Neural-GASh: A CGA-based neural radiance prediction pipeline for real-time shading
Efstratios Geronikolakis, Manos Kamarianakis, Antonis Protopsaltis, George Papagiannakis
https://arxiv.org/abs/2507.13917

Neural-GASh: A CGA-based neural radiance prediction pipeline for real-time shading
This paper presents Neural-GASh, a novel real-time shading pipeline for 3D meshes, that leverages a neural radiance field architecture to perform image-based rendering (IBR) using Conformal Geometric Algebra (CGA)-encoded vertex information as input. Unlike traditional Precomputed Radiance Transfer (PRT) methods, that require expensive offline precomputations, our learned model directly consumes CGA-based representations of vertex positions and normals, enabling dynamic scene shading without pr…

The influence of nitrogen doping and annealing on the silicon vacancy in 4H-SiC
Samuel G. Carter, Infiter Tathfif, Charity Burgess, Brenda VanMil, Suryakanti Debata, Pratibha Dev
https://arxiv.org/abs/2506.17478

The influence of nitrogen doping and annealing on the silicon vacancy in 4H-SiC
The silicon vacancy ($V_{Si}$) in 4H-SiC at its cubic site (V2-center) has shown significant promise for quantum technologies, due to coherent spin states, the mature material system, and stable optical emission. In these SiC-based applications, doping plays a crucial role. It can be used to control the charge state of $V_{Si}$ and formation of different types of defects. Despite its importance, there has been little research on the effects of doping. In this work, we perform a study of the eff…

LINE: Public-key encryption
Gennady Khalimov, Yevgen Kotukh
https://arxiv.org/abs/2507.04501 https://arxiv.org/pdf/2507.04501

LINE: Public-key encryption
We propose a public key encryption cryptosystem based on solutions of linear equation systems with predefinition of input parameters through shared secret computation for factorizable substitutions. The existence of multiple equivalent solutions for an underdetermined system of linear equations determines the impossibility of its resolution by a cryptanalyst in polynomial time. The completion of input parameters of the equation system is implemented through secret homomorphic matrix transformat…