Tootfinder

Spectral Efficiency Maximization for mmWave MIMO-Aided Integrated Sensing and Communication Under Practical Constraints
Jitendra Singh, Anand Mehrotra, Suraj Srivastava, Aditya K. Jagannatham, Lajos Hanzo
https://arxiv.org/abs/2506.04683

Spectral Efficiency Maximization for mmWave MIMO-Aided Integrated Sensing and Communication Under Practical Constraints
A hybrid transmit precoder (TPC) and receive combiner (RC) pair is conceived for millimeter wave (mmWave) multiple input multiple output (MIMO) integrated sensing and communication (ISAC) systems. The proposed design considers a practical mean squared error (MSE) constraint between the desired and the achieved beampatterns constructed for identifying radar targets (RTs). To achieve optimal performance, we formulate an optimization problem relying on sum spectral efficiency (SE) maximization of …

The making of robust and highly performing imaging spectropolarimeters for large solar telescopes
G. B. Scharmer, J. de la Cruz Rodr\'iguez, J. Leenaarts, B. Lindberg, P. S\"utterlin, T. Hillberg, C. Pietraszewski, A. G. de Wijn, M. Foster, J. Storey
https://arxiv.org/abs/2506.05143…

The making of robust and highly performing imaging spectropolarimeters for large solar telescopes
We discuss the requirements, concepts, simulations, implementation, and calibration of two dual Fabry-Perot based imaging spectropolarimeters, CRISP and CHROMIS, at the Swedish 1-meter Solar Telescope, and CRISP2 that is under construction. These instruments use a combination of a high-resolution and a low-resolution etalon together with an order-sorting prefilter to define the bandpass. The overall design is made robust and stable by tailoring the low-resolution etalon reflectivity to accommod…

This https://arxiv.org/abs/2306.07569 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Ontological Component-based Description of Robot Capabilities
A key aspect of a robot's knowledge base is self-awareness about what it is capable of doing. It allows to define which tasks it can be assigned to and which it cannot. We will refer to this knowledge as the Capability concept. As capabilities stems from the components the robot owns, they can be linked together. In this work, we hypothesize that this concept can be inferred from the components rather than merely linked to them. Therefore, we introduce an ontological means of inferring the agen…

MIR: Methodology Inspiration Retrieval for Scientific Research Problems
Aniketh Garikaparthi, Manasi Patwardhan, Aditya Sanjiv Kanade, Aman Hassan, Lovekesh Vig, Arman Cohan
https://arxiv.org/abs/2506.00249

MIR: Methodology Inspiration Retrieval for Scientific Research Problems
There has been a surge of interest in harnessing the reasoning capabilities of Large Language Models (LLMs) to accelerate scientific discovery. While existing approaches rely on grounding the discovery process within the relevant literature, effectiveness varies significantly with the quality and nature of the retrieved literature. We address the challenge of retrieving prior work whose concepts can inspire solutions for a given research problem, a task we define as Methodology Inspiration Retr…

Introduction to the theory of generalized locally Toeplitz sequences and its applications
Carlo Garoni
https://arxiv.org/abs/2506.02151 https://

Introduction to the theory of generalized locally Toeplitz sequences and its applications
The theory of generalized locally Toeplitz (GLT) sequences was conceived as an apparatus for computing the spectral distribution of matrices arising from the numerical discretization of differential equations (DEs). The purpose of this review is to introduce the reader to the theory of GLT sequences and to present some of its applications to the computation of the spectral distribution of DE discretization matrices. We mainly focus on the applications, whereas the theory is presented in a self-…

This https://arxiv.org/abs/2505.22767 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

In Dialogue with Intelligence: Rethinking Large Language Models as Collective Knowledge
Large Language Models (LLMs) are typically analysed through architectural, behavioural, or training-data lenses. This article offers a theoretical and experiential re-framing: LLMs as dynamic instantiations of Collective human Knowledge (CK), where intelligence is evoked through dialogue rather than stored statically. Drawing on concepts from neuroscience and AI, and grounded in sustained interaction with ChatGPT-4, I examine emergent dialogue patterns, the implications of fine-tuning, and the …

Consideraciones para una formulaci\'on Termodin\'amica Neo-Gibbsiana aplicada a sistemas sociales
Victor Alcides Guzm\'an Rodr\'iguez, Esneiber Hibraim Solano Herrera
https://arxiv.org/abs/2506.01794

Consideraciones para una formulación Termodinámica Neo-Gibbsiana aplicada a sistemas sociales
This work proposes a first approach towards a neo-Gibbsian thermodynamic theory for social systems, grounded in quantifiable economic and cultural parameters, while deliberately avoiding direct analogies with classical thermodynamic equations of state. Building on previous thermodynamic approaches to economic modeling, we introduce a conceptual basis for defining intensive variables capable of characterizing equilibrium states and evolutionary dynamics in societies. Particular attention is give…

Bayesian Perspective on Memorization and Reconstruction
Haim Kaplan, Yishay Mansour, Kobbi Nissim, Uri Stemmer
https://arxiv.org/abs/2505.23658 https://

Bayesian Perspective on Memorization and Reconstruction
We introduce a new Bayesian perspective on the concept of data reconstruction, and leverage this viewpoint to propose a new security definition that, in certain settings, provably prevents reconstruction attacks. We use our paradigm to shed new light on one of the most notorious attacks in the privacy and memorization literature - fingerprinting code attacks (FPC). We argue that these attacks are really a form of membership inference attacks, rather than reconstruction attacks. Furthermore, we …

I noticed that OpenStreetMaps somehow lost Lake Michigan, so I went investigating. Apparently back in April somebody accidentally changed it from a "lake" to a "school" and it's taking months to be fixed across all regions/renderers.
https:/…

Introducing Quantum Computing to High-School Curricula: A Global Perspective
Mar\'ia Gragera Garc\'es, Luis G\'omez Orzechowski, Juan Francisco Rodr\'iguez Hern\'andez
https://arxiv.org/abs/2505.14809

Introducing Quantum Computing to High-School Curricula: A Global Perspective
Quantum computing is an emerging field with growing implications across science and industry, making early educational exposure increasingly important. This paper examines how quantum computing concepts can be introduced into high-school STEM curricula within existing structures to enhance foundational learning in mathematics, computer science, and physics. We outline a modular integration strategy introducing key quantum ideas into standard courses, leveraging open-source educational resources…