Tootfinder

The high-speed X-ray camera on AXIS: design and performance updates
Eric D. Miller, Catherine E. Grant, Robert Goeke, Marshall W. Bautz, Christopher Leitz, Kevan Donlon, Steven W. Allen, Sven Herrmann, Abraham D. Falcone, F. Elio Angile, Tanmoy Chattopadhyay, Michael Cooper, Mallory A. Jensen, Jill Juneau, Beverly LaMarr, Andrew Malonis, R. Glenn Morris, Peter Orel, Abigail Y. Pan, Steven Persyn, Artem Poliszczuk, Gregory Y. Prigozhin, Ilya Prigozhin, Andrew Ptak, Christopher Reynolds,…

The high-speed X-ray camera on AXIS: design and performance updates
AXIS, a Probe mission concept now in a Phase A study, will provide transformative studies of high-energy astrophysical phenomena thanks to its high-resolution X-ray spectral imaging. These capabilities are enabled by improvements to the mirror design that greatly increase the X-ray throughput per unit mass; and to the detector system, which operates more than an order of magnitude faster than heritage instruments while maintaining excellent spectral performance. We present updates to the design…

Time-optimal Asynchronous Minimal Vertex Covering by Myopic Robots
Saswata Jana, Subhajit Pramanick, Adri Bhattacharya, Partha Sarathi Mandal
https://arxiv.org/abs/2508.14247 ht…

Time-optimal Asynchronous Minimal Vertex Covering by Myopic Robots
In a connected graph with an autonomous robot swarm with limited visibility, it is natural to ask whether the robots can be deployed to certain vertices satisfying a given property using only local knowledge. This paper affirmatively answers the question with a set of \emph{myopic} (finite visibility range) luminous robots with the aim of \emph{filling a minimal vertex cover} (MVC) of a given graph $G = (V, E)$. The graph has special vertices, called \emph{doors}, through which robots enter seq…

DeepTelecom: A Digital-Twin Deep Learning Dataset for Channel and MIMO Applications
Bohao Wang, Zehua Jiang, Zhenyu Yang, Chongwen Huang, Yongliang Shen, Siming Jiang, Chen Zhu, Zhaohui Yang, Richeng Jin, Zhaoyang Zhang, Sami Muhaidat, Merouane Debbah
https://arxiv.org/abs/2508.14507

DeepTelecom: A Digital-Twin Deep Learning Dataset for Channel and MIMO Applications
Domain-specific datasets are the foundation for unleashing artificial intelligence (AI)-driven wireless innovation. Yet existing wireless AI corpora are slow to produce, offer limited modeling fidelity, and cover only narrow scenario types. To address the challenges, we create DeepTelecom, a three-dimension (3D) digital-twin channel dataset. Specifically, a large language model (LLM)-assisted pipeline first builds the third level of details (LoD3) outdoor and indoor scenes with segmentable mate…

XUE 10. The CO$_2$-rich terrestrial planet-forming region of an externally irradiated Herbig disk
Jenny Frediani, Arjan Bik, Mar\'ia Claudia Ram\'irez-Tannus, Rens Waters, Konstantin V. Getman, Eric D. Feigelson, Bayron Portilla-Revelo, Beno\^it Tabone, Thomas J. Haworth, Andrew Winter, Thomas Henning, Giulia Perotti, Alexis Brandeker, Germ\'an Chaparro, Pablo Cuartas-Restrepo, Sebasti\'an Hern\'andez, Michael A. Kuhn, Thomas Preibisch, Veronica Roccatagliata, Sierk…

XUE 10. The CO$_2$-rich terrestrial planet-forming region of an externally irradiated Herbig disk
We investigate the James Webb Space Telescope (JWST) MIRI MRS gas molecular content of an externally irradiated Herbig disk, the F-type XUE 10 source, in the context of the eXtreme UV Environments (XUE) program. XUE 10 belongs to the massive star cluster NGC 6357 (1.69 kpc), where it is exposed to an external far-ultraviolet (FUV) radiation $\approx$ 10$^3$ times stronger than in the Solar neighborhood. We modeled the molecular features in the mid-infrared spectrum with Local Thermodynamic Equi…

Programmable Cognitive Bias in Social Agents
Xuan Liu, Haoyang Shang, Haojian Jin
https://arxiv.org/abs/2509.13588 https://arxiv.org/pdf/2509.13588

Programmable Cognitive Bias in Social Agents
This paper introduces CoBRA, a novel toolkit for systematically specifying agent behavior in LLM-based social simulation. We found that conventional approaches that specify agent behaviors through implicit natural language descriptions cannot yield consistent behaviors across models, and the produced agent behaviors do not capture the nuances of the descriptions. In contrast, CoBRA presents a new approach to program agents' cognitive biases explicitly, by grounding agents' expected behaviors us…

Polarimeter to Unify the Corona and Heliosphere (PUNCH)
Craig DeForest, Sarah Gibson, Ronnie Killough, Nick Waltham, Matt Beasley, Robin Colaninno, Glenn Laurent, Daniel Seaton, Marcus Hughes, Madhulika Guhathakurta, Nicholeen Viall, Raphael Attie, Dipankar Banerjee, Luke Barnar, Doug Biesecker, Mario Bisi, Volker Bothmer, Antonina Brody, Joan Burkepile, Iver Cairns, Jennifer Campbell, david Cheney, Traci Case, Amir Caspi, Rohit Chhiber, Matthew Clapp, Steven Cranmer, Jackie Davies, Cu…

Polarimeter to Unify the Corona and Heliosphere (PUNCH)
The Polarimeter to Unify the Corona and Heliosphere (PUNCH) mission is a NASA Small Explorer to determine the cross-scale processes that unify the solar corona and heliosphere. PUNCH has two science objectives: (1) understand how coronal structures become the ambient solar wind, and (2) understand the dynamic evolution of transient structures, such as coronal mass ejections, in the young solar wind. To address these objectives, PUNCH uses a constellation of four small spacecraft in Sun-synchron…

Replaced article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new
[2/2]:
- Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis
Jantre, Wang, Park, Chopra, Jeon, Qian, Urban, Yoon

Remotely Seeing Is Believing: How Trust in Cyber-Physical Systems Evolves Through Virtual Observation
Zhi Hua Jin, Kurt Xiao, David Hyde
https://arxiv.org/abs/2509.10749 https:/…

Remotely Seeing Is Believing: How Trust in Cyber-Physical Systems Evolves Through Virtual Observation
In this paper, we develop a virtual laboratory for measuring human trust. Our laboratory, which is realized as a web application, enables researchers to show pre-recorded or live video feeds to groups of users in a synchronized fashion. Users are able to provide real-time feedback on these videos via affect buttons and a freeform chat interface. We evaluate our application via a quantitative user study ($N \approx 80$) involving videos of cyber-physical systems, such as autonomous vehicles, per…

Asymptotic breakdown point analysis of the minimum density power divergence estimator under independent non-homogeneous setups
Suryasis Jana, Subhrajyoty Roy, Ayanendranath Basu, Abhik Ghosh
https://arxiv.org/abs/2508.12426

Asymptotic breakdown point analysis of the minimum density power divergence estimator under independent non-homogeneous setups
The minimum density power divergence estimator (MDPDE) has gained significant attention in the literature of robust inference due to its strong robustness properties and high asymptotic efficiency; it is relatively easy to compute and can be interpreted as a generalization of the classical maximum likelihood estimator. It has been successfully applied in various setups, including the case of independent and non-homogeneous (INH) observations that cover both classification and regression-type pr…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[2/3]:
- Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis
Jantre, Wang, Park, Chopra, Jeon, Qian, Urban, Yoon