Tootfinder

Cacio e Pepe, the queen 👸🏻 of all the Roman dishes, and my favourite too!
NO butter, NO cream, NO bullshit.
This is the real one and this is my way of making it!
--Daniela Maiorano
the real deal
https://www.instagram.com/p/DFKGZnszaYI/?u

Daniela Maiorano on Instagram: "Cacio e Pepe, the queen 👸🏻 of all the Roman dishes, and my favourite too! 3 ingredients only: 👉🏻 parmigiano 👉🏻 pecorino 👉🏻 black pepper NO butter, NO cream, NO bullshit. This is the real one and this is my way of making it! I know you can taste it from there 🫠 #cacioepepe"
163K likes, 1,727 comments - daniela.maiorano on January 22, 2025: "Cacio e Pepe, the queen 👸🏻 of all the Roman dishes, and my favourite too! 3 ingredients only: 👉🏻 parmigiano 👉🏻 pecorino 👉🏻 black pepper NO butter, NO cream, NO bullshit. This is the real one and this is my way of making it! I know you can taste it from there 🫠 #cacioepepe".

Knowledge Base-Aware Orchestration: A Dynamic, Privacy-Preserving Method for Multi-Agent Systems
Danilo Trombino, Vincenzo Pecorella, Alessandro de Giulii, Davide Tresoldi
https://arxiv.org/abs/2509.19599

Knowledge Base-Aware Orchestration: A Dynamic, Privacy-Preserving Method for Multi-Agent Systems
Multi-agent systems (MAS) are increasingly tasked with solving complex, knowledge-intensive problems where effective agent orchestration is critical. Conventional orchestration methods rely on static agent descriptions, which often become outdated or incomplete. This limitation leads to inefficient task routing, particularly in dynamic environments where agent capabilities continuously evolve. We introduce Knowledge Base-Aware (KBA) Orchestration, a novel approach that augments static descripti…

Interplanetary magnetic correlation and low-frequency spectrum over many solar rotations
Jiaming Wang, Francesco Pecora, Rohit Chhiber, Sohom Roy, William H. Matthaeus
https://arxiv.org/abs/2507.16053

Interplanetary magnetic correlation and low-frequency spectrum over many solar rotations
Fluctuations and structure across a wide range of spatial and temporal scales are frequently studied in the solar wind. The properties of the low-frequency fluctuations are of relevance to turbulent energy injection into the plasma and the transport of high-energy cosmic rays. Correlation analysis of decade-long intervals of interplanetary data permits study of fluctuations at time scales much longer than suitably defined correlation times, and therefore at frequencies well below those associat…

Fundamental solution and Harnack inequality for subelliptic evolution operators on Carnot groups
Giulio Pecorella, Annalaura Rebucci
https://arxiv.org/abs/2509.15982 https://

Fundamental solution and Harnack inequality for subelliptic evolution operators on Carnot groups
In this paper we study regularity properties of a class of subelliptic evolution operators. We first prove the existence of the fundamental solution by means of Levi's parametrix method, establishing also several key properties. We then employ these results, together with some mean value formulas, to prove a maximum principle and an invariant Harnack inequality for the classical solutions to the equations under study. Our analysis critically relies on the Carnot Caratheodory geometry naturally …

DeepFleet: Multi-Agent Foundation Models for Mobile Robots
Ameya Agaskar, Sriram Siva, William Pickering, Kyle O'Brien, Charles Kekeh, Ang Li, Brianna Gallo Sarker, Alicia Chua, Mayur Nemade, Charun Thattai, Jiaming Di, Isaac Iyengar, Ramya Dharoor, Dino Kirouani, Jimmy Erskine, Tamir Hegazy, Scott Niekum, Usman A. Khan, Federico Pecora, Joseph W. Durham
ht…

DeepFleet: Multi-Agent Foundation Models for Mobile Robots
We introduce DeepFleet, a suite of foundation models designed to support coordination and planning for large-scale mobile robot fleets. These models are trained on fleet movement data, including robot positions, goals, and interactions, from hundreds of thousands of robots in Amazon warehouses worldwide. DeepFleet consists of four architectures that each embody a distinct inductive bias and collectively explore key points in the design space for multi-agent foundation models: the robot-centric …

Low-depth quantum error correction via three-qubit gates in Rydberg atom arrays
Laura Pecorari, Sven Jandura, Guido Pupillo
https://arxiv.org/abs/2507.06096

Low-depth quantum error correction via three-qubit gates in Rydberg atom arrays
Quantum error correction (QEC) requires the execution of deep quantum circuits with large numbers of physical qubits to protect information against errors. Designing protocols that can reduce gate and space-time overheads of QEC is therefore crucial to enable more efficient QEC in near-term experiments. Multiqubit gates offer a natural path towards fast and low-depth stabilizer measurement circuits. However, they typically introduce high-weight correlated errors that can degrade the circuit-lev…

@… Vraag aan de deskundige: dat zwarte laagje aan de buitenzijde van pecorino Nero, wat is dat? Is dat eetbaar? Malen de Romeinen dat gewoon mee over de romeinse pasta? Of haalt iedereen dat zorgvuldig weg?

Complexation of a Thermoresponsive Brush-Type Polyelectrolyte with an Oppositely Charged Surfactant: Effect of Temperature and Surfactant Concentration
Hern\'an A. Ritacco, Macos D. Fern\'andez Leyes, Zulma Quirolo, M. M. Soledad Lencina, Cecilia del Barrio, Rafael M\'arquez, Jaqueline Fern\'andez, Jhon S\'anchez Morales
https://

Complexation of a Thermoresponsive Brush-Type Polyelectrolyte with an Oppositely Charged Surfactant: Effect of Temperature and Surfactant Concentration
Responsive drug delivery vectors can be designed using oppositely charged polyelectrolyte-surfactant complexes. As a model, we created a brush-type copolymer (PECop), combining alginate and Poly(N-isopropylacrylamide) (PNIPAAm), whose side chains respond to temperature. Aggregation of PECop with the cationic surfactant dodecyltrimethylammonium bromide (DTAB) was examined versus surfactant concentration and temperature. We used surface tension, electrophoretic mobility, zeta potential, potentiom…

Replaced article(s) found for cs.SE. https://arxiv.org/list/cs.SE/new
[1/2]:
- AI Techniques in the Microservices Life-Cycle: A Systematic Mapping Study
Moreschini, Pour, Lanese, Balouek-Thomert, Bogner, Li, Pecorelli, Soldani, Truyen, Taibi

Multi-robot Path Planning and Scheduling via Model Predictive Optimal Transport (MPC-OT)
Usman A. Khan, Mouhacine Benosman, Wenliang Liu, Federico Pecora, Joseph W. Durham
https://arxiv.org/abs/2508.21205

Multi-robot Path Planning and Scheduling via Model Predictive Optimal Transport (MPC-OT)
In this paper, we propose a novel methodology for path planning and scheduling for multi-robot navigation that is based on optimal transport theory and model predictive control. We consider a setup where $N$ robots are tasked to navigate to $M$ targets in a common space with obstacles. Mapping robots to targets first and then planning paths can result in overlapping paths that lead to deadlocks. We derive a strategy based on optimal transport that not only provides minimum cost paths from robot…