Tootfinder

CAI Fluency: A Framework for Cybersecurity AI Fluency
V\'ictor Mayoral-Vilches, Jasmin Wachter, Crist\'obal R. J. Veas Chavez, Cathrin Schachner, Luis Javier Navarrete-Lozano, Mar\'ia Sanz-G\'omez
https://arxiv.org/abs/2508.13588

CAI Fluency: A Framework for Cybersecurity AI Fluency
This work introduces CAI Fluency, an an educational platform of the Cybersecurity AI (CAI) framework dedicated to democratizing the knowledge and application of cybersecurity AI tools in the global security community. The main objective of the CAI framework is to accelerate the widespread adoption and effective use of artificial intelligence-based cybersecurity solutions, pathing the way to vibe-hacking, the cybersecurity analogon to vibe-coding. CAI Fluency builds upon the Framework for AI F…

HBAR entropy in causal diamond geometry: A near-horizon perspective
Nada Eissa, Carlos R. Ord\'o\~nez, Gustavo Valdivia-Mera
https://arxiv.org/abs/2508.13493 https://…

HBAR entropy in causal diamond geometry: A near-horizon perspective
In this article we extend the Horizon Brightened Acceleration Radiation (HBAR) framework to the causal diamond (CD) spacetime. We study a cloud of two-level atoms, injected at random times in the asymptotic past of the CD, freely falling toward its causal horizon and emitting scalar radiation via a weak dipole coupling to a quantum field. In the near-horizon region, an emergent conformal symmetry-captured by conformal quantum mechanics (CQM)-governs the field dynamics and allows analytic contro…

10 Easy Daily Habits That Reduce Dementia Risk After 40 (And 3 Common Behaviors That Accelerate It), According to Alzheimer’s Researchers ht…

On integrability of a $q$-oscillator lattice with a $B$-boundary
Sergey Sergeev
https://arxiv.org/abs/2508.12540 https://arxiv.org/pdf/2508.12540

On integrability of a $q$-oscillator lattice with a $B$-boundary
In this paper we propose a method of construction of a double layer-to-layer auxiliary transfer matrix defined on a half-plane with a boundary. The transfer matrix obtained has the following features: - It produces a complete set of integrals of motion, - Its ingredients can be seen as an auxiliary problem for $3d$ Kuniba-Okado reflection matrix, - The model obtained has no quantum group interpretation.

Compute Only 16 Tokens in One Timestep: Accelerating Diffusion Transformers with Cluster-Driven Feature Caching
Zhixin Zheng, Xinyu Wang, Chang Zou, Shaobo Wang, Linfeng Zhang
https://arxiv.org/abs/2509.10312

Compute Only 16 Tokens in One Timestep: Accelerating Diffusion Transformers with Cluster-Driven Feature Caching
Diffusion transformers have gained significant attention in recent years for their ability to generate high-quality images and videos, yet still suffer from a huge computational cost due to their iterative denoising process. Recently, feature caching has been introduced to accelerate diffusion transformers by caching the feature computation in previous timesteps and reusing it in the following timesteps, which leverage the temporal similarity of diffusion models while ignoring the similarity in…

Broadcom closes up 9.88% following the announcement of its custom chip deal with OpenAI; its stock is up over 50% in 2025 after more than doubling in 2024 (MacKenzie Sigalos/CNBC)
https://www.cnbc.com/2025/10/13/openai-partners-with-bro…

Broadcom stock pops 7% on OpenAI custom chip deal, adding to Nvidia and AMD agreements
OpenAI is teaming up with Broadcom to jointly develop and deploy 10 gigawatts of custom AI accelerators starting in 2026.

Memory Effects and Entanglement Dynamics of Finite time Acceleration
Nitesh K. Dubey, Sanved Kolekar
https://arxiv.org/abs/2508.07830 https://arxiv.org/pdf…

Memory Effects and Entanglement Dynamics of Finite time Acceleration
We construct a smooth trajectory in Minkowski spacetime that is inertial in the asymptotic past and future but undergoes approximately uniform acceleration for a finite duration. In a suitable limit, this trajectory reduces to the standard Rindler trajectory, reproducing the expected Bogoliubov transformations and results consistent with the thermal time hypothesis. We analyze the behavior of an Unruh-DeWitt (UDW) detector following such a trajectory and explore the dependence of complete posit…

Role of evaporation in stability of foam films and foams
F. Boulogne, E. Rio
https://arxiv.org/abs/2509.08958 https://arxiv.org/pdf/2509.08958

Role of evaporation in stability of foam films and foams
Understanding the stability of foam films and foams remains a challenge, despite the considerable efforts provided by the scientific community to refine their physical descriptions. This persistent difficulty underscores the interplay of various complex factors. Recently, the role of evaporation has attracted attention for its dual impact: it can either enhance stability or accelerate bursting. To depict a comprehensive overview on soapy objects, we propose first a short description on the evap…

Towards Closing the Performance Gap for Cryptographic Kernels Between CPUs and Specialized Hardware
Naifeng Zhang, Sophia Fu, Franz Franchetti
https://arxiv.org/abs/2509.12494 h…

Towards Closing the Performance Gap for Cryptographic Kernels Between CPUs and Specialized Hardware
Specialized hardware like application-specific integrated circuits (ASICs) remains the primary accelerator type for cryptographic kernels based on large integer arithmetic. Prior work has shown that commodity and server-class GPUs can achieve near-ASIC performance for these workloads. However, achieving comparable performance on CPUs remains an open challenge. This work investigates the following question: How can we narrow the performance gap between CPUs and specialized hardware for key crypt…

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation
Wenbin Teng, Gonglin Chen, Haiwei Chen, Yajie Zhao
https://arxiv.org/abs/2508.06392 https:…

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation
Recent progress in 3D reconstruction has enabled realistic 3D models from dense image captures, yet challenges persist with sparse views, often leading to artifacts in unseen areas. Recent works leverage Video Diffusion Models (VDMs) to generate dense observations, filling the gaps when only sparse views are available for 3D reconstruction tasks. A significant limitation of these methods is their slow sampling speed when using VDMs. In this paper, we present FVGen, a novel framework that addres…