Tootfinder

Improving Cooperation in Collaborative Embodied AI
Hima Jacob Leven Suprabha, Laxmi Nag Laxminarayan Nagesh, Ajith Nair, Alvin Reuben Amal Selvaster, Ayan Khan, Raghuram Damarla, Sanju Hannah Samuel, Sreenithi Saravana Perumal, Titouan Puech, Venkataramireddy Marella, Vishal Sonar, Alessandro Suglia, Oliver Lemon
https://arxiv.org/abs/2510…

Improving Cooperation in Collaborative Embodied AI
The integration of Large Language Models (LLMs) into multiagent systems has opened new possibilities for collaborative reasoning and cooperation with AI agents. This paper explores different prompting methods and evaluates their effectiveness in enhancing agent collaborative behaviour and decision-making. We enhance CoELA, a framework designed for building Collaborative Embodied Agents that leverage LLMs for multi-agent communication, reasoning, and task coordination in shared virtual spaces. T…

Formalizing Linear Motion G-code for Invariant Checking and Differential Testing of Fabrication Tools
Yumeng He, Chandrakana Nandi, Sreepathi Pai
https://arxiv.org/abs/2509.00699

Formalizing Linear Motion G-code for Invariant Checking and Differential Testing of Fabrication Tools
The computational fabrication pipeline for 3D printing is much like a compiler - users design models in Computer Aided Design (CAD) tools that are lowered to polygon meshes to be ultimately compiled to machine code by 3D slicers. For traditional compilers and programming languages, techniques for checking program invariants are well-established. Similarly, methods like differential testing are often used to uncover bugs in compilers themselves, which makes them more reliable. The fabrication pi…

Datacenter Energy Optimized Power Profiles
Sreedhar Narayanaswamy, Pratikkumar Dilipkumar Patel, Ian Karlin, Apoorv Gupta, Sudhir Saripalli, Janey Guo
https://arxiv.org/abs/2510.03872

Datacenter Energy Optimized Power Profiles
This paper presents datacenter power profiles, a new NVIDIA software feature released with Blackwell B200, aimed at improving energy efficiency and/or performance. The initial feature provides coarse-grain user control for HPC and AI workloads leveraging hardware and software innovations for intelligent power management and domain knowledge of HPC and AI workloads. The resulting workload-aware optimization recipes maximize computational throughput while operating within strict facility power co…

A planetary system with a sub-Neptune planet in the habitable zone of TOI-2093
J. Sanz-Forcada, E. Gonz\'alez-\'Alvarez, M. R. Zapatero Osorio, J. A. Caballero, V. J. S. B\'ejar, E. Herrero, C. Rodr\'iguez-L\'opez, K. R. Sreenivas, L. Tal-Or, S. Vanaverbeke, A. P. Hatzes, R. Luque, E. Nagel, F. J. Pozuelos, D. Rapetti, A. Quirrenbach, P. J. Amado, M. Blazek, I. Carleo, D. Ciardi, C. Cifuentes, K. Collins, Th. Henning, D. W. Latham, J. Lillo-Box, E. Marfil, D. Montes…

A planetary system with a sub-Neptune planet in the habitable zone of TOI-2093
Aims. We aim to confirm and measure the mass of the transiting planet candidate around the K5V star TOI-2093, previously announced by the Transiting Exoplanet Survey Satellite (TESS) project. Methods. We combined photometric data from 32 sectors between 2019 and 2024 with 86 radial velocity measurements obtained with the CARMENES spectrograph over a period of 2.4 years, along with a series of ground-based, broadband photometric monitoring campaigns to characterize the host star and the transiti…

Rectified Decoupled Dataset Distillation: A Closer Look for Fair and Comprehensive Evaluation
Xinhao Zhong, Shuoyang Sun, Xulin Gu, Chenyang Zhu, Bin Chen, Yaowei Wang
https://arxiv.org/abs/2509.19743 …

Rectified Decoupled Dataset Distillation: A Closer Look for Fair and Comprehensive Evaluation
Dataset distillation aims to generate compact synthetic datasets that enable models trained on them to achieve performance comparable to those trained on full real datasets, while substantially reducing storage and computational costs. Early bi-level optimization methods (e.g., MTT) have shown promising results on small-scale datasets, but their scalability is limited by high computational overhead. To address this limitation, recent decoupled dataset distillation methods (e.g., SRe$^2$L) separ…

NetMoniAI: An Agentic AI Framework for Network Security & Monitoring
Pallavi Zambare, Venkata Nikhil Thanikella, Nikhil Padmanabh Kottur, Sree Akhil Akula, Ying Liu
https://arxiv.org/abs/2508.10052

NetMoniAI: An Agentic AI Framework for Network Security & Monitoring
In this paper, we present NetMoniAI, an agentic AI framework for automatic network monitoring and security that integrates decentralized analysis with lightweight centralized coordination. The framework consists of two layers: autonomous micro-agents at each node perform local traffic analysis and anomaly detection. A central controller then aggregates insights across nodes to detect coordinated attacks and maintain system-wide situational awareness. We evaluated NetMoniAI on a local micro-test…

Optical design and polarimetric performance of a SmallSat UV polarimeter to study interstellar dust: PUFFINS
Ramya M Anche, Hyukmo Kang, Kyle Van Gorkom, Dan Vargas, Haeun Chung, Ellie Spitzer, Meredith Kupinski, B-G Andersson, Geoff Clayton, Ewan S. Douglas, Luca Fossati, Victor Gasho, Sreejith Aickara Gopinathan, Erika Hamden, Thiem Hoang, Marcus Klupar, Ryan Lau, Alexandre Lazarian, Tram N Le, Joanna Rosenbluth, Ambily Suresh, Carlos J. Vargas

Optical design and polarimetric performance of a SmallSat UV polarimeter to study interstellar dust: PUFFINS
The Polarimetry in the Ultraviolet to Find Features in INterStellar dust (PUFFINS) is a SmallSat mission concept designed to obtain ultraviolet (UV) spectropolarimetric observations to probe the interstellar dust grain properties and to understand wavelength-dependent extinction and star formation. PUFFINS plans to observe 70 UV bright target stars at varying distances within a 180-320 nm wavelength range with 0.02% polarimetric accuracy. PUFFINS uses a simple telescope design with all reflecti…

Teleoperating Autonomous Vehicles over Commercial 5G Networks: Are We There Yet?
Rostand A. K. Fezeu, Jason Carpenter, Rushikesh Zende, Sree Ganesh Lalitaditya Divakarla, Nitin Varyani, Faaiq Bilal, Steven Sleder, Nanditha Naik, Duncan Joly, Eman Ramadan, Ajay Kumar Gurumadaiah, Zhi-Li Zhang
https://arxiv.org/abs/2507.20438

Teleoperating Autonomous Vehicles over Commercial 5G Networks: Are We There Yet?
Remote driving, or teleoperating Autonomous Vehicles (AVs), is a key application that emerging 5G networks aim to support. In this paper, we conduct a systematic feasibility study of AV teleoperation over commercial 5G networks from both cross-layer and end-to-end (E2E) perspectives. Given the critical importance of timely delivery of sensor data, such as camera and LiDAR data, for AV teleoperation, we focus in particular on the performance of uplink sensor data delivery. We analyze the impacts…

Linear Resolutions and Linear Quotients in Three Variables
Ho\`ai {\DJ}\`ao, Sreehari Suresh-Babu
https://arxiv.org/abs/2509.15569 https://arxiv.org/pdf/25…

Linear Resolutions and Linear Quotients in Three Variables
In this paper, we provide a combinatorial criteria for equigenerated monomial ideals in three variables to have linear resolutions. As a consequence, we prove that in three variables, equigenerated monomial ideals with linear resolutions have linear quotients.