Tootfinder

SemanticShield: LLM-Powered Audits Expose Shilling Attacks in Recommender Systems
Kaihong Li, Huichi Zhou, Bin Ma, Fangjun Huang
https://arxiv.org/abs/2509.24961 https://…

SemanticShield: LLM-Powered Audits Expose Shilling Attacks in Recommender Systems
Recommender systems (RS) are widely used in e-commerce for personalized suggestions, yet their openness makes them susceptible to shilling attacks, where adversaries inject fake behaviors to manipulate recommendations. Most existing defenses emphasize user-side behaviors while overlooking item-side features such as titles and descriptions that can expose malicious intent. To address this gap, we propose a two-stage detection framework that integrates item-side semantics via large language model…

Series A, Episode 12 - Deliverance
ENSOR: I'm on three-quarter boost as it is. She's not responding! I'm going to maximum. It's all right. It's all right. She's slowing. Compensators beginning to hold. [Ship starts to steady.] Come on, come on, that's my beauty. That's...come on. Pull us back, pull us back. All right, she's coming back. We're all right.
MARYATT: Don't do that too often, will you? I'm a very nervous passenger.

Overhead in Quantum Circuits with Time-Multiplexed Qubit Control
Marvin Richter, Ingrid Strandberg, Simone Gasparinetti, Anton Frisk Kockum
https://arxiv.org/abs/2508.20752 http…

Overhead in Quantum Circuits with Time-Multiplexed Qubit Control
When scaling up quantum processors in a cryogenic environment, it is desirable to limit the number of qubit drive lines going into the cryostat, since fewer lines makes cooling of the system more manageable and the need for complicated electronics setups is reduced. However, although time-multiplexing of qubit control enables using just a few drive line to steer many qubits, it comes with a trade-off: fewer drive lines means fewer qubits can be controlled in parallel, which leads to an overhead…

Characterization of mini-CryoCube detectors from the Ricochet experiment commissioning at the Institut Laue-Langevin
Antoine Armatol, Corinne Augier, Louis Bailly-Salins, Guillaume Baulieu, Laurent Berg\'e, Julien Billard, Juliette Bl\'e, Guillaume Bres, Jean-Louis Bret, Alexandre Broniatowski, Martino Calvo, Antonella Cavanna, Antoine Cazes, Emanuela Celi, David Chaize, Mohammed Chala, Maurice Chappellier, Luke Chaplinsky, Guillaume Chemin, Ran Chen, Jules Colas, Laurent Coura…

Characterization of mini-CryoCube detectors from the Ricochet experiment commissioning at the Institut Laue-Langevin
The Ricochet experiment aims to measure the coherent elastic neutrino-nucleus scattering process from antineutrinos emitted by a research nuclear reactor operated by the Institut Laue-Langevin (Grenoble, France). This article presents a description of the Ricochet experimental installation and the detector performance achieved during its commissioning with a mini-CryoCube module consisting of three 42-gram germanium cryogenic calorimeters. The baseline resolutions and background levels are repo…

Effective Radius of a Discrete Moving Polymer
Jiaming Chen
https://arxiv.org/abs/2507.22248 https://arxiv.org/pdf/2507.22248…

Effective Radius of a Discrete Moving Polymer
We present a discrete space-time stochastic partial differential equation (SPDE) model to describe the dynamics of a weakly self-avoiding polymer with intrinsic length $J$. By introducing a penalty factor tailored to the discrete setting, we establish that the polymer's root mean squared radius scales linearly with $J$. This scaling behavior differs from the law derived by Mueller and Neuman \cite{mueller2022scaling} in the continuous framework, highlighting both the distinct nature of the disc…

Lewis: Blame Bledsoe for hit that led to Brady era https://www.espn.com/nfl/story/_/id/46095827/book-lewis-blames-bledsoe-hit-ushered-brady-era

Mitigating Distribution Shift in Stock Price Data via Return-Volatility Normalization for Accurate Prediction
Hyunwoo Lee, Jihyeong Jeon, Jaemin Hong, U Kang
https://arxiv.org/abs/2508.20108

Mitigating Distribution Shift in Stock Price Data via Return-Volatility Normalization for Accurate Prediction
How can we address distribution shifts in stock price data to improve stock price prediction accuracy? Stock price prediction has attracted attention from both academia and industry, driven by its potential to uncover complex market patterns and enhance decisionmaking. However, existing methods often fail to handle distribution shifts effectively, focusing on scaling or representation adaptation without fully addressing distributional discrepancies and shape misalignments between training and t…

Thinking Before You Speak: A Proactive Test-time Scaling Approach
Cong Li, Wenchang Chai, Hejun Wu, Yan Pan, Pengxu Wei, Liang Lin
https://arxiv.org/abs/2508.18648 https://

Thinking Before You Speak: A Proactive Test-time Scaling Approach
Large Language Models (LLMs) often exhibit deficiencies with complex reasoning tasks, such as maths, which we attribute to the discrepancy between human reasoning patterns and those presented in the LLMs' training data. When dealing with complex problems, humans tend to think carefully before expressing solutions. However, they often do not articulate their inner thoughts, including their intentions and chosen methodologies. Consequently, critical insights essential for bridging reasoning steps…

Asymmetric super-Heston-rough volatility model with Zumbach effect as scaling limit of quadratic Hawkes processes
Priyanka Chudasama, Srikanth Krishnan Iyer
https://arxiv.org/abs/2508.16566

Asymmetric super-Heston-rough volatility model with Zumbach effect as scaling limit of quadratic Hawkes processes
Hawkes processes were first introduced to obtain microscopic models for the rough volatility observed in asset prices. Scaling limits of such processes leads to the rough-Heston model that describes the macroscopic behavior. Blanc et al. (2017) show that Time-reversal asymmetry (TRA) or the Zumbach effect can be modeled using Quadratic Hawkes (QHawkes) processes. Dandapani et al. (2021) obtain a super-rough-Heston model as scaling limit of QHawkes processes in the case where the impact of buyin…

Quantum Simulation and Energy Estimation for Discretized Anharmonic oscillator
Saurav Suman, Bikash K. Behera, Vivek Vyas, Prasanta k. Panigrahi
https://arxiv.org/abs/2509.20907

Quantum Simulation and Energy Estimation for Discretized Anharmonic oscillator
Anharmonic potential quantum system play crucial role in physics as they provide a more realistic description of oscillatory phenomena, which often deviate from the idealized harmonic model. However, simulating such system on classical computers is highly challenging due to nonlinear interactions, large state spaces, and the exponential scaling of memory and computational resources. In this work, quantum simulation is employed to model a quantum anharmonic oscillator (QAHO) using a 3-qubit syst…