Tootfinder

Thermal-Aware 3D Design for Side-Channel Information Leakage
Dylan Stow, Russell Barnes, Eren Kurshan, Yuan Xie
https://arxiv.org/abs/2508.02816 https://ar…

Thermal-Aware 3D Design for Side-Channel Information Leakage
Side-channel attacks are important security challenges as they reveal sensitive information about on-chip activities. Among such attacks, the thermal side-channel has been shown to disclose the activities of key functional blocks and even encryption keys. This paper proposes a novel approach to proactively conceal critical activities in the functional layers while minimizing the power dissipation by (i) leveraging inherent characteristics of 3D integration to protect from side-channel attacks a…

Fermionic optimal transport
Rocco Duvenhage, Dylan van Zyl, Paola Zurlo
https://arxiv.org/abs/2510.02888 https://arxiv.org/pdf/2510.02888

Fermionic optimal transport
Quadratic Wasserstein distances are obtained between dynamical systems (with states as special case), on $\mathbb{Z}_2$-graded von Neumann algebras. This is achieved through a systematic translation from non-graded to $\mathbb{Z}_2$-graded transport plans, on usual and fermionic (or $\mathbb{Z}_2$-graded) tensor products respectively. The metric properties of these fermionic Wasserstein distances are shown, and their symmetries relevant to deviation of a system from quantum detailed balance are…

Taming Imperfect Process Verifiers: A Sampling Perspective on Backtracking
Dhruv Rohatgi, Abhishek Shetty, Donya Saless, Yuchen Li, Ankur Moitra, Andrej Risteski, Dylan J. Foster
https://arxiv.org/abs/2510.03149

Taming Imperfect Process Verifiers: A Sampling Perspective on Backtracking
Test-time algorithms that combine the generative power of language models with process verifiers that assess the quality of partial generations offer a promising lever for eliciting new reasoning capabilities, but the algorithmic design space and computational scaling properties of such approaches are still opaque, and their benefits are far from apparent when one accounts for the cost of learning a high-quality verifier. Our starting point is the observation that seemingly benign errors in a l…

The changing transit shape of TOI-3884 b
Hritam Chakraborty, Jose M. Almenara, Monika Lendl, David Ehrenreich, Fran\c{c}ois Bouchy, Xavier Bonfils, Radmila Dancikova, Adrien Deline, Saniya Khan, Henryka Netzel, Muskan Shinde, Aur\'elien Verdier
https://arxiv.org/abs/2509.04297

The changing transit shape of TOI-3884 b
TOI-3884 b is a sub-Saturn transiting a fully convective M-dwarf. Observations indicate that the transit shape is chromatic and asymmetric as a result of persistent starspot crossings. This, along with the lack of photometric variability of the host star, indicates that the rotational axis of the star is tilted along our line of sight and the planet-occulted starspot is located close to the stellar pole. We acquired photometric transits over a period of three years with the Swiss 1.2-meter Eule…

GM Baklan baut dank Kurzremis seine Führung im GM-Turnier aus. Der Haken an der Geschichte, gleichzeitig bietet er ambitionierten Spielern die Chance mit einem vollen Punkt was wettzumachen.
#dlm25

From Trace to Line: LLM Agent for Real-World OSS Vulnerability Localization
Haoran Xi, Minghao Shao, Brendan Dolan-Gavitt, Muhammad Shafique, Ramesh Karri
https://arxiv.org/abs/2510.02389

From Trace to Line: LLM Agent for Real-World OSS Vulnerability Localization
Large language models show promise for vulnerability discovery, yet prevailing methods inspect code in isolation, struggle with long contexts, and focus on coarse function- or file-level detections - offering limited actionable guidance to engineers who need precise line-level localization and targeted patches in real-world software development. We present T2L-Agent (Trace-to-Line Agent), a project-level, end-to-end framework that plans its own analysis and progressively narrows scope from modu…

More AI Assistance Reduces Cognitive Engagement: Examining the AI Assistance Dilemma in AI-Supported Note-Taking
Xinyue Chen, Kunlin Ruan, Kexin Phyllis Ju, Nathan Yap, Xu Wang
https://arxiv.org/abs/2509.03392

More AI Assistance Reduces Cognitive Engagement: Examining the AI Assistance Dilemma in AI-Supported Note-Taking
As AI tools become increasingly embedded in cognitively demanding tasks such as note-taking, questions remain about whether they enhance or undermine cognitive engagement. This paper examines the "AI Assistance Dilemma" in note-taking, investigating how varying levels of AI support affect user engagement and comprehension. In a within-subject experiment, we asked participants (N=30) to take notes during lecture videos under three conditions: Automated AI (high assistance with structured notes),…

Transition Models: Rethinking the Generative Learning Objective
Zidong Wang, Yiyuan Zhang, Xiaoyu Yue, Xiangyu Yue, Yangguang Li, Wanli Ouyang, Lei Bai
https://arxiv.org/abs/2509.04394

Transition Models: Rethinking the Generative Learning Objective
A fundamental dilemma in generative modeling persists: iterative diffusion models achieve outstanding fidelity, but at a significant computational cost, while efficient few-step alternatives are constrained by a hard quality ceiling. This conflict between generation steps and output quality arises from restrictive training objectives that focus exclusively on either infinitesimal dynamics (PF-ODEs) or direct endpoint prediction. We address this challenge by introducing an exact, continuous-time…

Hamburg 1 und das Saarland halten ihre Nase kurz vor die Zeilgerade. 3,5 Punkte haben sie schon, nun muss noch ein Gegner umfallen und sie gehen mit 2 Mannschaftspunkten raus.
#dlm25

Wachinger hat einen Springer in die Königsstellung von Colbow investiert und belohnt sich mit einem bombastischen Angriff. Colbow steht nicht mal mehr nur wackelig sondern ist schon am fallen.
#dlm25