Tootfinder

A Freelance Vigilante: A wilderness survival trainer spent years undercover, climbing the ranks of right-wing militias. He didn’t tell police or the FBI. He didn’t tell his family or friends.
The Future of Militias: He penetrated a new generation of militia leaders, which included doctors and government attorneys.
Experts say that militias could have a renaissance under Donald Trump.
A Secret Trove: He sent ProPublica a massive trove of documents.
The conversations …

A Mole Infiltrated the Highest Ranks of American Militias. This Is What He Found.
Outraged by the Jan. 6 Capitol riot, a wilderness survival trainer spent years undercover climbing the ranks of right-wing militias. He didn’t tell police or the FBI. He didn’t tell family or friends. The one person he told was a ProPublica reporter.

Multigranular Evaluation for Brain Visual Decoding
Weihao Xia, Cengiz Oztireli
https://arxiv.org/abs/2507.07993 https://arxiv.org/pdf…

Multigranular Evaluation for Brain Visual Decoding
Existing evaluation protocols for brain visual decoding predominantly rely on coarse metrics that obscure inter-model differences, lack neuroscientific foundation, and fail to capture fine-grained visual distinctions. To address these limitations, we introduce BASIC, a unified, multigranular evaluation framework that jointly quantifies structural fidelity, inferential alignment, and contextual coherence between decoded and ground truth images. For the structural level, we introduce a hierarchic…

Oracle-Based Multistep Strategy for Solving Polynomial Systems Over Finite Fields and Algebraic Cryptanalysis of the Aradi Cipher
La Scala Roberto, Sharwan Kumar Tiwari
https://arxiv.org/abs/2506.09950

Oracle-Based Multistep Strategy for Solving Polynomial Systems Over Finite Fields and Algebraic Cryptanalysis of the Aradi Cipher
The multistep solving strategy consists in a divide-and-conquer approach: when a multivariate polynomial system is computationally infeasible to solve directly, one variable is assigned over the elements of the base finite field, and the procedure is recursively applied to the resulting simplified systems. In a previous work by the same authors (among others), this approach proved effective in the algebraic cryptanalysis of the Trivium cipher. In this paper, we present a new implementation of t…

Efficient multigrid solvers for mixed-degree local discontinuous Galerkin multiphase Stokes problems
Robert I. Saye
https://arxiv.org/abs/2506.09933 https:…

Efficient multigrid solvers for mixed-degree local discontinuous Galerkin multiphase Stokes problems
We design and investigate efficient multigrid solvers for multiphase Stokes problems discretised via mixed-degree local discontinuous Galerkin methods. Using the template of a standard multigrid V-cycle, we develop a smoother analogous to element-wise block Gauss-Seidel, except the diagonal block inverses are replaced with an approximation that balances the smoothing of the velocity and pressure variables, factoring in the unequal scaling of the various Stokes system operators, and optimised vi…

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience
Lo\"ic Pottier, Konstantia Georgouli, Timothy S. Carpenter, Fikret Aydin, Jeremy O. B. Tempkin, Dwight V. Nissley, Frederick H. Streitz, Thomas R. W. Scogland, Peer-Timo Bremer, Felice C. Lightstone, Helgi I. Ing\'olfsson
https://arxiv.org/abs/25…

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience
Computational models have become one of the prevalent methods to model complex phenomena. To accurately model complex interactions, such as detailed biomolecular interactions, scientists often rely on multiscale models comprised of several internal models operating at difference scales, ranging from microscopic to macroscopic length and time scales. Bridging the gap between different time and length scales has historically been challenging but the advent of newer machine learning (ML) approache…

Learning-Based Multiuser Scheduling in MIMO-OFDM Systems with Hybrid Beamforming
Pouya Agheli, Tugce Kobal, Fran\c{c}ois Durand, Matthew Andrews
https://arxiv.org/abs/2506.08263

Learning-Based Multiuser Scheduling in MIMO-OFDM Systems with Hybrid Beamforming
We investigate the multiuser scheduling problem in multiple-input multiple-output (MIMO) systems using orthogonal frequency division multiplexing (OFDM) and hybrid beamforming in which a base station (BS) communicates with multiple users over millimeter wave (mmWave) channels in the downlink. Improved scheduling is critical for enhancing spectral efficiency and the long-term performance of the system from the perspective of proportional fairness (PF) metric in hybrid beamforming systems due to …

Improved Approximate EFX Guarantees for Multigraphs
Alireza Kaviani, Alireza Keshavarz, Masoud Seddighin, AmirMohammad Shahrezaei
https://arxiv.org/abs/2506.09288

Improved Approximate EFX Guarantees for Multigraphs
In recent years, a new line of work in fair allocation has focused on EFX allocations for \((p, q)\)-bounded valuations, where each good is relevant to at most \(p\) agents, and any pair of agents share at most \(q\) relevant goods. For the case \(p = 2\) and \(q = \infty\), such instances can be equivalently represented as multigraphs whose vertices are the agents and whose edges represent goods, each edge incident to exactly the one or two agents for whom the good is relevant. A recent result…

Optimizing Atomic Number Contrast in Multislice Electron Ptychography
Bridget R. Denzer, Colin Gilgenbach, James M. LeBeau
https://arxiv.org/abs/2506.09355

Optimizing Atomic Number Contrast in Multislice Electron Ptychography
Here we explore the atomic number ($Z$) dependence of multislice electron ptychography and approaches to optimize Z sensitivity. Specifically, we show that ptychography's $Z$-dependence is highly dependent on the integrated area of an atom column considered. A monotonic $Z$-dependence is found when the reconstructed projected atomic potentials are integrated over a small region. When increasing the integration area, $Z$-contrast changes significantly, becoming highly non-monotonic and following…

Spectral Efficiency Maximization for DMA-enabled Multiuser MISO with Statistical CSI
Hao Xu, Boyu Ning, Chongjun Ouyang, Hongwen Yang
https://arxiv.org/abs/2506.09570

Spectral Efficiency Maximization for DMA-enabled Multiuser MISO with Statistical CSI
Dynamic metasurface antennas (DMAs) offer the potential to achieve large-scale antenna arrays with low power consumption and reduced hardware costs, making them a promising technology for future communication systems. This paper investigates the spectral efficiency (SE) of DMA-enabled multiuser multiple-input single-output (MISO) systems in both uplink and downlink transmissions, using only statistical channel state information (CSI) to maximize the ergodic sum rate of multiple users. For the u…

A structure preserving H-curl algebraic multigrid method for the eddy current equations
Raymond Tuminaro, Christian Glusa
https://arxiv.org/abs/2506.08284 …

A structure preserving H-curl algebraic multigrid method for the eddy current equations
A new algebraic multigrid method (AMG) is presented for solving the linear systems associated with the eddy current approximation to the Maxwell equations. This AMG method extends an idea proposed by Reitzinger and Schoberl. The main feature of the Reitzinger and Schoberl algorithm (RSAMG) is that it maintains null-space properties of the Curl-Curl operator throughout all levels of the AMG hierarchy. It does this by enforcing a commuting relationship involving grid transfers and the discrete gr…