Tootfinder

Superradiance and Superabsorption Engine of $N$ Two-Level Systems: $N^{2}$-Power Scaling at Near-Unity Efficiency
L. F. Alves da Silva, H. Sanchez, M. A. Ponte, M. H. Y. Moussa, Norton G. de Almeida
https://arxiv.org/abs/2510.12017

Superradiance and Superabsorption Engine of $N$ Two-Level Systems: $N^{2}$-Power Scaling at Near-Unity Efficiency
We present a thermal engine that exploits the \emph{cooperative superradiance} and \emph{superabsorption} of a sample of \(N\) two-level atoms. This engine operates using a single cold reservoir via cycles of collective pumping followed by decay. Using an effective mean-field Hamiltonian to describe the many-body dynamics, we design optimized drive pulses that preserve adiabaticity and achieve an average power output scaling quadratically with the system size, \(P \propto N^2\). An experimental…

ThinkPilot: Steering Reasoning Models via Automated Think-prefixes Optimization
Sunzhu Li, Zhiyu Lin, Shuling Yang, Jiale Zhao, Wei Chen
https://arxiv.org/abs/2510.12063 https:/…

ThinkPilot: Steering Reasoning Models via Automated Think-prefixes Optimization
Large Reasoning Models (LRMs) are powerful, but they still suffer from inefficient and off-target reasoning. Currently, training-free methods are limited to either rigid heuristics or descriptive, non-actionable analyses. In this paper, we introduce ThinkPilot, a training-free framework that automatically optimizes LRMs reasoning. It uses an evolutionary process to generate think-prefixes, which are instructions that evolve driven by a taxonomy of reasoning behaviors to guide models toward supe…

Universal scaling of shear thickening suspensions under acoustic perturbation
Anna R. Barth, Navneet Singh, Stephen J. Thornton, Pranav Kakhandiki, Edward Y. X. Ong, Meera Ramaswamy, Abhishek M. Shetty, Bulbul Chakraborty, James P. Sethna, Itai Cohen
https://arxiv.org/abs/2510.11820

Universal scaling of shear thickening suspensions under acoustic perturbation
Tuning shear thickening behavior is a longstanding problem in the field of dense suspensions. Acoustic perturbations offer a convenient way to control shear thickening in real time, opening the door to a new class of smart materials. However, complete control over shear thickening requires a quantitative description for how suspension viscosity varies under acoustic perturbation. Here, we achieve this goal by experimentally probing suspensions with acoustic perturbations and incorporating their…

Harvard’s business model is raking in ungodly amounts of money selling that name to the offspring of the ultra-wealthy, however deserving or undeserving, and then investing it.
(Harvard does to its credit use a portion of that money to subsidize access for the highly deserving and underprivileged. I’ve seen the “tuition paid” graph for Harvard, and it’s very roughly ~20% pay nothing and ~40% pay full freight and their family has more money than everyone you’ve every known combined.)
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Series A, Episode 09 - Project Avalon
TRAVIS: Ohh?
SERVALAN: Oh, so far I have resisted that pressure. But now, I need your reassurance that my confidence has not been misplaced.
TRAVIS: I think Project Avalon will silence the critics.
https://blake.torpidity.net/m/109/174 B7B4

The Influence of Central Body Tides on Catastrophic Disruptions of Close-in Planetary Satellites
Harrison Agrusa, Patrick Michel
https://arxiv.org/abs/2510.06044 https://…

The Influence of Central Body Tides on Catastrophic Disruptions of Close-in Planetary Satellites
We model the outcomes of catastrophic disruptions on small, gravity-dominated natural satellites, accounting for the tidal potential of the central body, which is neglected in classical disruption scaling laws. We introduce the concept of $Q^\star_\text{TD}$, the specific energy required to disperse half of the total mass involved in a collision, accounting for the tidal potential of a central body. We derive a simple scaling relation for $Q^\star_\text{TD}$ and demonstrate that for close-in pl…

Scaling crossover of the generalized Jeffreys-type law
Fugui Ma
https://arxiv.org/abs/2510.07930 https://arxiv.org/pdf/2510.07930

Scaling crossover of the generalized Jeffreys-type law
The generalized Jeffreys-type law is formulated as a multi-term time-fractional Jeffreys-type equation, whose dynamics exhibit rich scaling crossover phenomena entailing different diffusion mechanisms. In this work, we provide a novel physical explanation for the equation from first principles, beginning with a microscopic description based on the continuous-time random walk framework with a generalized waiting time distribution and further deriving the equation from an overdamped Langevin equa…

Selling Privacy in Blockchain Transactions
Georgios Chionas, Olga Gorelkina, Piotr Krysta, Rida Laraki
https://arxiv.org/abs/2512.08096 https://arxiv.org/pdf/2512.08096 https://arxiv.org/html/2512.08096
arXiv:2512.08096v1 Announce Type: new
Abstract: We study methods to enhance privacy in blockchain transactions from an economic angle. We consider mechanisms for privacy-aware users whose utility depends not only on the outcome of the mechanism but also negatively on the exposure of their economic preferences. Specifically, we study two auction-theoretic settings with privacy-aware users. First, we analyze an order flow auction, where a user auctions off to specialized agents, called searchers, the right to execute her transaction while maintaining a degree of privacy. We examine how the degree of privacy affects the revenue of the auction and, broadly, the net utility of the privacy-aware user. In this new setting, we describe the optimal auction, which is a sealed-bid auction. Subsequently, we analyze a variant of a Dutch auction in which the user gradually decreases the price and the degree of privacy until the transaction is sold. We compare the revenue of this auction to that of the optimal one as a function of the number of communication rounds. Then, we introduce a two-sided market - a privacy marketplace - with multiple users selling their transactions under their privacy preferences to multiple searchers. We propose a posted-price mechanism for the two-sided market that guarantees constant approximation of the optimal social welfare while maintaining incentive compatibility (from both sides of the market) and budget balance. This work builds on the emerging line of research that attempts to improve the performance of economic mechanisms by appending cryptographic primitives to them.
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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…

Rotation of intrinsic orbital angular momentum and the orbital Hall effect for twisted particles in arbitrary gravitational fields
Alexander J. Silenko
https://arxiv.org/abs/2510.03450

Rotation of intrinsic orbital angular momentum and the orbital Hall effect for twisted particles in arbitrary gravitational fields
For twisted particles in arbitrary gravitational fields, the problems of the rotation of intrinsic orbital angular momentum and the orbital Hall effect are solved in the general case. We need not use the Maxwell equations in curved spacetimes for a description of twisted photons. The exact general equation rigorously defining the OAM dynamics in any Riemannian spacetimes is derived. The general description of different manifestations of the orbital Hall effect for any twisted particles is also …