Tootfinder

Federation of Agents: A Semantics-Aware Communication Fabric for Large-Scale Agentic AI
Lorenzo Giusti, Ole Anton Werner, Riccardo Taiello, Matilde Carvalho Costa, Emre Tosun, Andrea Protani, Marc Molina, Rodrigo Lopes de Almeida, Paolo Cacace, Diogo Reis Santos, Luigi Serio
https://arxiv.org/abs/2509.20175…

Federation of Agents: A Semantics-Aware Communication Fabric for Large-Scale Agentic AI
We present Federation of Agents (FoA), a distributed orchestration framework that transforms static multi-agent coordination into dynamic, capability-driven collaboration. FoA introduces Versioned Capability Vectors (VCVs): machine-readable profiles that make agent capabilities searchable through semantic embeddings, enabling agents to advertise their capabilities, cost, and limitations. Our aarchitecturecombines three key innovations: (1) semantic routing that matches tasks to agents over shar…

Improving Outdoor Multi-cell Fingerprinting-based Positioning via Mobile Data Augmentation
Tony Chahoud, Lorenzo Mario Amorosa, Riccardo Marini, Luca De Nardis
https://arxiv.org/abs/2509.19405

Improving Outdoor Multi-cell Fingerprinting-based Positioning via Mobile Data Augmentation
Accurate outdoor positioning in cellular networks is hindered by sparse, heterogeneous measurement collections and the high cost of exhaustive site surveys. This paper introduces a lightweight, modular mobile data augmentation framework designed to enhance multi-cell fingerprinting-based positioning using operator-collected minimization of drive test (MDT) records. The proposed approach decouples spatial and radio-feature synthesis: kernel density estimation (KDE) models the empirical spatial d…

🇺🇦 #NowPlaying on BBCRadio3's #ThisClassicalLife
Giacomo Puccini, Giorgio Zancanaro, Orazio Mori, Carol Vaness, Giuseppe Giacomini, Philadelphia Orchestra & Riccardo Muti:
🎵 "Orsu, Tosca, parlate" - " Mario, consenti ch'io parli?" from Tosca
https://open.spotify.com/track/6JaqH0Rjtth9PBA1a8tUbc

Are Neural Networks Collision Resistant?
Marco Benedetti, Andrej Bogdanov, Enrico M. Malatesta, Marc M\'ezard, Gianmarco Perrupato, Alon Rosen, Nikolaj I. Schwartzbach, Riccardo Zecchina
https://arxiv.org/abs/2509.20262

Are Neural Networks Collision Resistant?
When neural networks are trained to classify a dataset, one finds a set of weights from which the network produces a label for each data point. We study the algorithmic complexity of finding a collision in a single-layer neural net, where a collision is defined as two distinct sets of weights that assign the same labels to all data. For binary perceptrons with oscillating activation functions, we establish the emergence of an overlap gap property in the space of collisions. This is a topologica…

🇺🇦 #NowPlaying on BBCRadio3's #Breakfast
Wolfgang Amadeus Mozart, Ensemble Resonanz & Riccardo Minasi:
🎵 Symphony No. 41 in C Major, K. 551 "Jupiter": III. Menuetto Allegretto. Trio
#WolfgangAmadeusMozart
https://open.spotify.com/track/1Q5kaBpSOMl1X0WUdxiwNh

On a Conjecture of Dyer on the Join in the Weak Order of a Coxeter group
Riccardo Biagioli, Lorenzo Perrone
https://arxiv.org/abs/2510.11446 https://arxiv.…

On a Conjecture of Dyer on the Join in the Weak Order of a Coxeter group
In one of his papers on the weak order of Coxeter groups, Dyer formulates several conjectures. Among these, one affirms that the extended weak order forms a lattice, while another offers an algebraic-geometric description of the join of two elements in this poset. The former was recently proven for affine types by Barkley and Speyer. In this paper, we establish the latter for Coxeter groups of types $A$ and $I$. Moreover, we verified the validity of this conjecture for types $H_3$ and $F_4$ thr…

🔊 #NowPlaying on #BBCRadio3:
#ThroughTheNight
- Brahms from Budapest
The pianist Simon Trpčeski performs Brahms' second piano concerto with the Hungarian Radio Symphony Orchestra, conducted by Riccardo Frizza. After, more Brahms: his Symphony no 4.
Relisten now 👇
https://www.bbc.co.uk/programmes/m002nbfr

Generative World Modelling for Humanoids: 1X World Model Challenge Technical Report
Riccardo Mereu, Aidan Scannell, Yuxin Hou, Yi Zhao, Aditya Jitta, Antonio Dominguez, Luigi Acerbi, Amos Storkey, Paul Chang
https://arxiv.org/abs/2510.07092

Generative World Modelling for Humanoids: 1X World Model Challenge Technical Report
World models are a powerful paradigm in AI and robotics, enabling agents to reason about the future by predicting visual observations or compact latent states. The 1X World Model Challenge introduces an open-source benchmark of real-world humanoid interaction, with two complementary tracks: sampling, focused on forecasting future image frames, and compression, focused on predicting future discrete latent codes. For the sampling track, we adapt the video generation foundation model Wan-2.2 TI2V-…

Formation of C-centers in Si-based systems by light ion irradiation
Carolina Crosta, Riccardo Nardin, Patrick Daoust, Stefano Achilli, Ian Colombo, Matteo Campostrini, Emiliano Bonera, Jacopo Pedrini, Oussama Moutanabbir, Valentino Rigato, Fabio Pezzoli
https://arxiv.org/abs/2510.12690

Formation of C-centers in Si-based systems by light ion irradiation
Atomic-scale crystal defects in Si are quantum-light sources offering tantalizing integration with existing photonic technologies. Yet, the controlled creation of near-infrared color centers for long- haul quantum communication and information still remains a challenge. In this work, we utilize light ions, such as H+ and He+, to gently generate quantum emitters in a crystalline Si matrix. Temperature-dependent photoluminescence measurements demonstrate the presence of optically-active defects, …

In bicicletta / Riccardo Cocciante
Passeggiando in bicicletta accanto a te
Pedalare senza fretta la domenica mattina
Fra i capelli una goccia di brina
Ma che faccia rossa da bambina
Fai un fumetto respirando
Mentre mi sto innamorando
https://www.youtube.com/watch?v=EG36hK1XXVw

Universal behaviors of the multi-time correlation functions of random processes with renewal: the step noise case (the random velocity of a L\'evy walk)
Marco Bianucci, Mauro Bologna, Daniele Lagomarsino-Oneto, Riccardo Mannella
https://arxiv.org/abs/2510.11747

Universal behaviors of the multi-time correlation functions of random processes with renewal: the step noise case (the random velocity of a Lévy walk)
Stochastic processes with renewal properties are powerful tools for modeling systems where memory effects and long-time correlations play a significant role. In this work, we study a broad class of renewal processes where a variable's value changes according to a prescribed Probability Density Function (PDF), $p(ξ)$, after random waiting times $θ$. This model is relevant across many fields, including classical chaos, nonlinear hydrodynamics, quantum dots, cold atom dynamics, biological motion…

Planted clique recovery in random geometric graphs
Konstantin Avrachenkov, Andrei Bobu, Nelly Litvak, Riccardo Michielan
https://arxiv.org/abs/2510.12365 https://

Planted clique recovery in random geometric graphs
We investigate the problem of identifying planted cliques in random geometric graphs, focusing on two distinct algorithmic approaches: the first based on vertex degrees (VD) and the other on common neighbors (CN). We analyze the performance of these methods under varying regimes of key parameters, namely the average degree of the graph and the size of the planted clique. We demonstrate that exact recovery is achieved with high probability as the graph size increases, in a specific set of parame…

Crosslisted article(s) found for eess.SP. https://arxiv.org/list/eess.SP/new
[1/1]:
- Generative Models for Helmholtz Equation Solutions: A Dataset of Acoustic Materials
Riccardo Fosco Gramaccioni, Christian Marinoni, Fabrizio Frezza, Aurelio Uncini, Danilo Comminiello

Universal sectors in superconformal defects
Riccardo Giordana Pozzi
https://arxiv.org/abs/2510.06950 https://arxiv.org/pdf/2510.06950

Universal sectors in superconformal defects
We study universal features of defect correlation functions in supersymmetric defect CFTs, focusing on four-point functions of the displacement supermultiplet. By perturbing the leading-order correlators at strong coupling, we identify constraints on the operators exchanged at next-to-leading order. We then discuss the conditions under which correlation functions of identical superdisplacement components receive contributions only from multiparticle operators built from the same components. Thi…

Crosslisted article(s) found for math.ST. https://arxiv.org/list/math.ST/new
[1/1]:
- Universal behaviors of the multi-time correlation functions of random processes with renewal: the...
Marco Bianucci, Mauro Bologna, Daniele Lagomarsino-Oneto, Riccardo Mannella

PAL-Net: A Point-Wise CNN with Patch-Attention for 3D Facial Landmark Localization
Ali Shadman Yazdi, Annalisa Cappella, Benedetta Baldini, Riccardo Solazzo, Gianluca Tartaglia, Chiarella Sforza, Giuseppe Baselli
https://arxiv.org/abs/2510.00910

PAL-Net: A Point-Wise CNN with Patch-Attention for 3D Facial Landmark Localization
Manual annotation of anatomical landmarks on 3D facial scans is a time-consuming and expertise-dependent task, yet it remains critical for clinical assessments, morphometric analysis, and craniofacial research. While several deep learning methods have been proposed for facial landmark localization, most focus on pseudo-landmarks or require complex input representations, limiting their clinical applicability. This study presents a fully automated deep learning pipeline (PAL-Net) for localizing 5…

Combining Knowledge Graphs and NLP to Analyze Instant Messaging Data in Criminal Investigations
Riccardo Pozzi, Valentina Barbera, Renzo Alva Principe, Davide Giardini, Riccardo Rubini, Matteo Palmonari
https://arxiv.org/abs/2509.26487

Combining Knowledge Graphs and NLP to Analyze Instant Messaging Data in Criminal Investigations
Criminal investigations often involve the analysis of messages exchanged through instant messaging apps such as WhatsApp, which can be an extremely effort-consuming task. Our approach integrates knowledge graphs and NLP models to support this analysis by semantically enriching data collected from suspects' mobile phones, and help prosecutors and investigators search into the data and get valuable insights. Our semantic enrichment process involves extracting message data and modeling it using a …

FoleyGRAM: Video-to-Audio Generation with GRAM-Aligned Multimodal Encoders
Riccardo Fosco Gramaccioni, Christian Marinoni, Eleonora Grassucci, Giordano Cicchetti, Aurelio Uncini, Danilo Comminiello
https://arxiv.org/abs/2510.05829

FoleyGRAM: Video-to-Audio Generation with GRAM-Aligned Multimodal Encoders
In this work, we present FoleyGRAM, a novel approach to video-to-audio generation that emphasizes semantic conditioning through the use of aligned multimodal encoders. Building on prior advancements in video-to-audio generation, FoleyGRAM leverages the Gramian Representation Alignment Measure (GRAM) to align embeddings across video, text, and audio modalities, enabling precise semantic control over the audio generation process. The core of FoleyGRAM is a diffusion-based audio synthesis model co…

Mobile Altersarbeit gegen #Einsamkeit
Ein neues Projekt hilft #Senioren sich zu vernetzen. Siehe Streetwork-Projekt «Save» in München #munchen

Gegen Vereinsamung: Mobile Altersarbeit für Seniorinnen
Mobile Altersarbeit hilft Senioren, aktiv am gesellschaftlichen Leben teilzunehmen und soziale Kontakte zu pflegen. Altersforscher Riccardo Pardini betont, wie

The (PXP)$^2$ model: long-range quantum scars in optical cavities
Hossein Hosseinabadi, Riccardo J. Valencia-Tortora, Aleksandr N. Mikheev, Darrick E. Chang, Johannes Zeiher, Roderich Moessner, Jamir Marino
https://arxiv.org/abs/2510.02246

The (PXP)$^2$ model: long-range quantum scars in optical cavities
Rydberg-cavity systems are emerging as promising platforms for quantum simulation and quantum information processing. These hybrid architectures combine two complementary interaction mechanisms: cavity photons mediate collective long-range couplings, while Rydberg excitations generate strong short-range interactions. Together, they offer a setting for engineering many-body phases characterized by a hierarchy of interactions across widely different length scales. In this work, we introduce a min…

🇺🇦 #NowPlaying on BBCRadio3's #InTune
Joseph Haydn, Riccardo Minasi, Federico Toffano & Maxim Emelyanychev:
🎵 Piano Trio in G major 'Gypsy Rondo' H.15.25 (3rd mvt)
#JosephHaydn #RiccardoMinasi #FedericoToffano #MaximEmelyanychev

In-flight performance of the IXPE telescopes
Riccardo Ferrazzoli, Enrico Costa, Sergio Fabiani, Philip Kaaret, Stephen L. O'Dell, Brian D. Ramsey, Paolo Soffitta, Luca Baldini, Ronaldo Bellazzini, Alessandro Di Marco, Fabio La Monaca, Luca Latronico, Alberto Manfreda, Fabio Muleri, John Rankin, Carmelo Sgr\`o, Stefano Silvestri, Martin C. Weisskopf
https://…

In-flight performance of the IXPE telescopes
We present a comprehensive characterization of the on-orbit imaging performance of the three telescopes on board the Imaging X-ray Polarimetry Explorer (IXPE). Each telescope comprises a Wolter-I mirror module assembly and a Gas Pixel Detector focal-plane detector unit (DU). We analyze data from point-like X-ray sources and fit a composite point spread function (PSF) model that we compare with ground calibrations. We study the dependence of the PSF parameters and of the angular resolution, in t…

A first look at quasar-galaxy clustering at $z\simeq7.3$
Jan-Torge Schindler, Joseph F. Hennawi, Frederick B. Davies, Sarah E. I. Bosman, Feige Wang, Jinyi Yang, Anna-Christina Eilers, Xiaohui Fan, Koki Kakiichi, Elia Pizzati, Riccardo Nanni
https://arxiv.org/abs/2510.08455

A first look at quasar-galaxy clustering at $z\simeq7.3$
We present JWST observations of the environments surrounding two high-redshift quasars -- J0252$-$0503 at $z = 7.0$ and J1007$+$2115 at $z = 7.5$ -- which enable the first constraints on quasar-galaxy clustering at $z \sim 7.3$. Galaxies in the vicinity of the quasars are selected through ground-based and JWST/NIRCam imaging and then spectroscopically confirmed with JWST/NIRSpec using the multi-shutter assembly (MSA). Over both fields, we identify 51 $z>5$ galaxies, of which eight are found wit…

On the eigenvalues of the biharmonic operator on annuli
Davide Buoso, Riccardo Molinarolo
https://arxiv.org/abs/2510.04809 https://arxiv.org/pdf/2510.04809…

On the eigenvalues of the biharmonic operator on annuli
We show that the fundamental tone of the bilaplacian with Dirichlet or Navier boundary conditions on radially symmetric domains is always simple in dimension $N\ge3$. In dimension $N=2$ we show that it is simple if the inner radius is big enough.

Controllable Audio-Visual Viewpoint Generation from 360{\deg} Spatial Information
Christian Marinoni, Riccardo Fosco Gramaccioni, Eleonora Grassucci, Danilo Comminiello
https://arxiv.org/abs/2510.06060

Controllable Audio-Visual Viewpoint Generation from 360° Spatial Information
The generation of sounding videos has seen significant advancements with the advent of diffusion models. However, existing methods often lack the fine-grained control needed to generate viewpoint-specific content from larger, immersive 360-degree environments. This limitation restricts the creation of audio-visual experiences that are aware of off-camera events. To the best of our knowledge, this is the first work to introduce a framework for controllable audio-visual generation, addressing thi…

Detectors and Shieldings: Past and Future at LUNA
Chemseddine Ananna, Lucia Barbieri, Axel Boeltzig, Matteo Campostrini, Fausto Casaburo, Alessandro Compagnucci, Laszlo Csedreki, Riccardo Maria Gesue, Jordan Marsh, Daniela Mercogliano, Denise Piatti, Duncan Robb, Ragandeep Singh Sidhu, Jakub Skowronski
https://arxiv.org/abs/2510.06269

Detectors and Shieldings: Past and Future at LUNA
Nuclear reactions are responsible for the chemical evolution of stars, galaxies and the Universe. Unfortunately, at temperatures of interest for nuclear astrophysics, the cross-sections of the thermonuclear reactions are in the pico-femto-barn range and thus measuring them in the laboratory is extremely challenging. In this framework, major steps forward were made with the advent of underground nuclear astrophysics, pioneered by the Laboratory for Underground Nuclear Astrophysics (LUNA). The co…

Advances in Radiative Capture Studies at LUNA with a Segmented BGO Detector
Jakub Skowronski, Riccardo Maria Gesu\`e, Axel Boeltzig, Giovanni Francesco Ciani, Denise Piatti, David Rapagnani, Marialuisa Aliotta, Chemsedinne Ananna, Francesco Barile, Daniel Bemmerer, Andreas Best, Carlo Broggini, Carlo Giovanni Bruno, Antonio Caciolli, Matteo Campostrini, Francesca Cavanna, Paolo Colombetti, Alessandro Compagnucci, Piero Corvisiero, Laszlo Csedreki, Tom Davinson, Rosanna Depalo, Antonino…

Advances in Radiative Capture Studies at LUNA with a Segmented BGO Detector
Studies of charged-particle reactions for low-energy nuclear astrophysics require high sensitivity, which can be achieved by means of detection setups with high efficiency and low backgrounds, to obtain precise measurements in the energy region of interest for stellar scenarios. High-efficiency total absorption spectroscopy is an established and powerful tool for studying radiative capture reactions, particularly if combined with the cosmic background reduction by several orders of magnitude ob…

Spatiotemporal Radar Gesture Recognition with Hybrid Spiking Neural Networks: Balancing Accuracy and Efficiency
Riccardo Mazzieri, Eleonora Cicciarella, Jacopo Pegoraro, Federico Corradi, Michele Rossi
https://arxiv.org/abs/2509.23303

Spatiotemporal Radar Gesture Recognition with Hybrid Spiking Neural Networks: Balancing Accuracy and Efficiency
Radar-based Human Activity Recognition (HAR) offers privacy and robustness over camera-based methods, yet remains computationally demanding for edge deployment. We present the first use of Spiking Neural Networks (SNNs) for radar-based HAR on aircraft marshalling signal classification. Our novel hybrid architecture combines convolutional modules for spatial feature extraction with Leaky Integrate-and-Fire (LIF) neurons for temporal processing, inherently capturing gesture dynamics. The model re…

Replaced article(s) found for physics.soc-ph. https://arxiv.org/list/physics.soc-ph/new
[1/1]:
- Multi-Scale Node Embeddings for Graph Modeling and Generation
Riccardo Milocco, Fabian Jansen, Diego Garlaschelli

Direct Continuous-Time LPV System Identification of Li-ion Batteries via L1-Regularized Least Squares
Yang Wang, Riccardo M. G. Ferrari
https://arxiv.org/abs/2509.21110 https://…

Direct Continuous-Time LPV System Identification of Li-ion Batteries via L1-Regularized Least Squares
Accurate identification of lithium-ion battery parameters is essential for estimating battery states and managing performance. However, the variation of battery parameters over the state of charge (SOC) and the nonlinear dependence of the open-circuit voltage (OCV) on the SOC complicate the identification process. In this work, we develop a continuous-time LPV system identification approach to identify the SOC-dependent battery parameters and the OCV-SOC mapping. We model parameter variations u…

Hyperbolic contact symplectic lifts
Filippo Bracci, Benjamin McKay, Riccardo Ugolini
https://arxiv.org/abs/2509.23740 https://arxiv.org/pdf/2509.23740

Hyperbolic contact symplectic lifts
Given a complex manifold $M$ endowed with a holomorphic contact structure $V$, one can define a sub-Finsler pseudometric through holomorphic discs tangent to $V$. If the integrated pseudodistance is a distance, then $M$ is $V$-hyperbolic, a generalisation of Kobayashi hyperbolicity. In this paper, we focus on Reeb manifolds $M$, which are contact manifolds with a free holomorphic $\mathbb{C}$-action generated by a Reeb vector field. We show that every proper Reeb manifold is the total space o…

StereoSync: Spatially-Aware Stereo Audio Generation from Video
Christian Marinoni, Riccardo Fosco Gramaccioni, Kazuki Shimada, Takashi Shibuya, Yuki Mitsufuji, Danilo Comminiello
https://arxiv.org/abs/2510.05828

StereoSync: Spatially-Aware Stereo Audio Generation from Video
Although audio generation has been widely studied over recent years, video-aligned audio generation still remains a relatively unexplored frontier. To address this gap, we introduce StereoSync, a novel and efficient model designed to generate audio that is both temporally synchronized with a reference video and spatially aligned with its visual context. Moreover, StereoSync also achieves efficiency by leveraging pretrained foundation models, reducing the need for extensive training while mainta…

The influence of boundary conditions and interfacial slip on the time taken to achieve a nonequilibrium steady-state for highly confined flows
Carmelo Riccardo Civello, Luca Maffioli, Joseph Johnson, Edward R. Smith, James P. Ewen, Peter J. Daivis, Daniele Dini, B. D. Todd
https://arxiv.org/abs/2509.20944

The influence of boundary conditions and interfacial slip on the time taken to achieve a nonequilibrium steady-state for highly confined flows
We investigate the equilibration time to attain steady-state for a system of liquid molecules under boundary-driven planar Couette flow via nonequilibrium molecular dynamics (NEMD) simulation. In particular, we examine the equilibration time for the two common types of boundary driven flow: one in which both walls slide with equal and opposite velocity, and the other in which one wall is fixed and the other moves with twice the velocity. Both flows give identical steady-state strain rates, and …

From Parameters to Behavior: Unsupervised Compression of the Policy Space
Davide Tenedini, Riccardo Zamboni, Mirco Mutti, Marcello Restelli
https://arxiv.org/abs/2509.22566 http…

From Parameters to Behavior: Unsupervised Compression of the Policy Space
Despite its recent successes, Deep Reinforcement Learning (DRL) is notoriously sample-inefficient. We argue that this inefficiency stems from the standard practice of optimizing policies directly in the high-dimensional and highly redundant parameter space $Θ$. This challenge is greatly compounded in multi-task settings. In this work, we develop a novel, unsupervised approach that compresses the policy parameter space $Θ$ into a low-dimensional latent space $\mathcal{Z}$. We train a generativ…

EnGraf-Net: Multiple Granularity Branch Network with Fine-Coarse Graft Grained for Classification Task
Riccardo La Grassa, Ignazio Gallo, Nicola Landro
https://arxiv.org/abs/2509.21061

EnGraf-Net: Multiple Granularity Branch Network with Fine-Coarse Graft Grained for Classification Task
Fine-grained classification models are designed to focus on the relevant details necessary to distinguish highly similar classes, particularly when intra-class variance is high and inter-class variance is low. Most existing models rely on part annotations such as bounding boxes, part locations, or textual attributes to enhance classification performance, while others employ sophisticated techniques to automatically extract attention maps. We posit that part-based approaches, including automatic…

Replaced article(s) found for physics.optics. https://arxiv.org/list/physics.optics/new
[1/1]:
- LLM4Laser: Large Language Models Automate the Design of Lasers
Renjie Li, Ceyao Zhang, Sixuan Mao, Xiyuan Zhou, Feng Yin, Sergios Theodoridis, Zhaoyu Zhang
https://arxiv.org/abs/2104.12145
- Room-temperature valley-selective emission in Si-MoSe2 heterostructures enabled by high-quality-f...
Feng Pan, et al.
https://arxiv.org/abs/2409.09806 https://mastoxiv.page/@arXiv_physicsoptics_bot/113152185040115763
- 1T'-MoTe$_2$ as an integrated saturable absorber for photonic machine learning
Maria Carolina Volpato, Henrique G. Rosa, Tom Reep, Pierre-Louis de Assis, Newton Cesario Frateschi
https://arxiv.org/abs/2507.16140 https://mastoxiv.page/@arXiv_physicsoptics_bot/114901571498004090
- NeOTF: Guidestar-free neural representation for broadband dynamic imaging through scattering
Yunong Sun, Fei Xia
https://arxiv.org/abs/2507.22328 https://mastoxiv.page/@arXiv_physicsoptics_bot/114947052118796753
- Structured Random Models for Phase Retrieval with Optical Diffusers
Zhiyuan Hu, Fakhriyya Mammadova, Juli\'an Tachella, Michael Unser, Jonathan Dong
https://arxiv.org/abs/2510.14490 https://mastoxiv.page/@arXiv_physicsoptics_bot/115388901264416806
- Memory Effects in Time-Modulated Radiative Heat Transfer
Riccardo Messina, Philippe Ben-Abdallah
https://arxiv.org/abs/2510.19378 https://mastoxiv.page/@arXiv_physicsoptics_bot/115422659227231796
- Mie-tronics supermodes and symmetry breaking in nonlocal metasurfaces
Thanh Xuan Hoang, Ayan Nussupbekov, Jie Ji, Daniel Leykam, Jaime Gomez Rivas, Yuri Kivshar
https://arxiv.org/abs/2511.03560 https://mastoxiv.page/@arXiv_physicsoptics_bot/115502066008543828
- Integrated soliton microcombs beyond the turnkey limit
Wang, Xu, Wang, Zhu, Luo, Luo, Wang, Ni, Yang, Gong, Xiao, Li, Yang
https://arxiv.org/abs/2511.06909 https://mastoxiv.page/@arXiv_physicsoptics_bot/115530791701071777
- Ising accelerator with a reconfigurable interferometric photonic processor
Rausell-Campo, Al Kayed, P\'erez-L\'ppez, Aadhi, Shastri, Francoy
https://arxiv.org/abs/2511.13284 https://mastoxiv.page/@arXiv_physicsoptics_bot/115570439939074488
- Superradiance in dense atomic samples
I. M. de Ara\'ujo, H. Sanchez, L. F. Alves da Silva, M. H. Y. Moussa
https://arxiv.org/abs/2504.20242 https://mastoxiv.page/@arXiv_quantph_bot/114425762810828336
- Fluctuation-induced Hall-like lateral forces in a chiral-gain environment
Daigo Oue, M\'ario G. Silveirinha
https://arxiv.org/abs/2507.14754 https://mastoxiv.page/@arXiv_condmatmeshall_bot/114896308178114535
- Tensor-network approach to quantum optical state evolution beyond the Fock basis
Nikolay Kapridov, Egor Tiunov, Dmitry Chermoshentsev
https://arxiv.org/abs/2511.15295 https://mastoxiv.page/@arXiv_quantph_bot/115581390666689204
- OmniLens : Blind Lens Aberration Correction via Large LensLib Pre-Training and Latent PSF Repres...
Jiang, Qian, Gao, Sun, Yang, Yi, Li, Yang, Van Gool, Wang
https://arxiv.org/abs/2511.17126 https://mastoxiv.page/@arXiv_eessIV_bot/115603729319581340
toXiv_bot_toot

RDD: Pareto Analysis of the Rate-Distortion-Distinguishability Trade-off
Andriy Enttsel, Alex Marchioni, Andrea Zanellini, Mauro Mangia, Gianluca Setti, Riccardo Rovatti
https://arxiv.org/abs/2509.24805

RDD: Pareto Analysis of the Rate-Distortion-Distinguishability Trade-off
Extensive monitoring systems generate data that is usually compressed for network transmission. This compressed data might then be processed in the cloud for tasks such as anomaly detection. However, compression can potentially impair the detector's ability to distinguish between regular and irregular patterns due to information loss. Here we extend the information-theoretic framework introduced in [1] to simultaneously address the trade-off between the three features on which the effectiveness…

Bulk and spectroscopic nuclear properties within an ab initio renormalized random-phase approximation framework
Radek Folprecht, Franti\v{s}ek Knapp, Giovanni De Gregorio, Riccardo Mancino, Petr Vesel\'y, Nicola Lo Iudice
https://arxiv.org/abs/2510.00878

Bulk and spectroscopic nuclear properties within an ab initio renormalized random-phase approximation framework
A modern chiral potential incorporating the three-body force is adopted to investigate bulk properties, spectra, and nuclear responses of closed-(sub)shell nuclei throughout the nuclear chart within a particle-hole (p-h) renormalized random-phase approximation (RRPA) scheme using a Hartree- Fock (HF) single-particle basis. Our analysis shows that all instabilities induced by the quasiboson approximation (QBA) underlying RPA are removed and an overall better consistency with the experiments is a…

Metallurgy at the nanoscale: domain walls in nanoalloys
Gr\'egoire Breyton (MPQ), Hakim Amara (MPQ), Jaysen Nelayah (MPQ), Christine Mottet (CINaM), Riccardo Gatti (ICMMO), J\'er\^ome Creuze (ICMMO), Adrien Moncomble (MPQ), Damien Alloyeau (MPQ), Nathaly Ortiz Pe\~na (MPQ), Guillaume Wang (MPQ), Christian Ricolleau (MPQ)
https://ar…

Metallurgy at the nanoscale: domain walls in nanoalloys
In binary alloys, domain walls play a central role not only on the phase transitions but also on their physical properties and were at the heart of the 70's metallurgy research. Whereas it can be predicted, with simple physics arguments, that such domain walls cannot exist at the nanometer scale due to the typical lengths of the statistical fluctuations of the order parameter, here we show, with both experimental and numerical approaches how orientational domain walls are formed in CuAu nanopar…

Target Wake Time Scheduling for Time-sensitive and Energy-efficient Wi-Fi Networks
Fabio Busacca, Corrado Puligheddu, Francesco Raviglione, Riccardo Rusca, Claudio Casetti, Carla Fabiana Chiasserini, Sergio Palazzo
https://arxiv.org/abs/2509.26245

Target Wake Time Scheduling for Time-sensitive and Energy-efficient Wi-Fi Networks
Time Sensitive Networking (TSN) is fundamental for the reliable, low-latency networks that will enable the Industrial Internet of Things (IIoT). Wi-Fi has historically been considered unfit for TSN, as channel contention and collisions prevent deterministic transmission delays. However, this issue can be overcome by using Target Wake Time (TWT), which enables the access point to instruct Wi-Fi stations to wake up and transmit in non-overlapping TWT Service Periods (SPs), and sleep in the remain…

🇺🇦 #NowPlaying on BBCRadio3's #Breakfast
Giuseppe Verdi, New Philharmonia Orchestra & Riccardo Muti:
🎵 Macbeth (Act 1: Prelude and Act 3: Ballet Music)
#GiuseppeVerdi #NewPhilharmoniaOrchestra #RiccardoMuti

On the Serrin's problem with Robin boundary conditions
Nunzia Gavitone, Riccardo Molinarolo
https://arxiv.org/abs/2509.24557 https://arxiv.org/pdf/2509…

On the Serrin's problem with Robin boundary conditions
Let $Ω\subset \mathbb{R}^N$, $N\ge 2$, be an open, connected, bounded set with $C^2$ boundary. In this paper we consider the torsion problem with Robin boundary conditions and we study the symmetry of the solutions when suitable extra conditions are imposed on the boundary of $Ω$. In particular, we prove the Serrin's rigidity result under suitable assumptions on the domain and on the Robin parameter.

Federation of Agents: A Semantics-Aware Communication Fabric for Large-Scale Agentic AI
Lorenzo Giusti, Ole Anton Werner, Riccardo Taiello, Matilde Carvalho Costa, Emre Tosun, Andrea Protani, Marc Molina, Rodrigo Lopes de Almeida, Paolo Cacace, Diogo Reis Santos, Luigi Serio
https://arxiv.org/abs/2509.20175…

Federation of Agents: A Semantics-Aware Communication Fabric for Large-Scale Agentic AI
We present Federation of Agents (FoA), a distributed orchestration framework that transforms static multi-agent coordination into dynamic, capability-driven collaboration. FoA introduces Versioned Capability Vectors (VCVs): machine-readable profiles that make agent capabilities searchable through semantic embeddings, enabling agents to advertise their capabilities, cost, and limitations. Our aarchitecturecombines three key innovations: (1) semantic routing that matches tasks to agents over shar…

Continuous-Time System Identification and OCV Reconstruction of Li-ion Batteries via Regularized Least Squares
Yang Wang, Riccardo M. G. Ferrari, Michel Verhaegen
https://arxiv.org/abs/2509.21116

Continuous-Time System Identification and OCV Reconstruction of Li-ion Batteries via Regularized Least Squares
Accurate identification of lithium-ion (Li-ion) battery parameters is essential for managing and predicting battery behavior. However, existing discrete-time methods hinder the estimation of physical parameters and face the fast-slow dynamics problem presented in the battery. In this paper, we developed a continuous-time approach that enables the estimation of battery parameters directly from sampled data. This method avoids discretization errors in converting continuous-time models into discre…

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