Tootfinder

Syntactic Blind Spots: How Misalignment Leads to LLMs Mathematical Errors
Dane Williamson, Yangfeng Ji, Matthew Dwyer
https://arxiv.org/abs/2510.01831 https://

Syntactic Blind Spots: How Misalignment Leads to LLMs Mathematical Errors
Large Language Models (LLMs) demonstrate strong mathematical problem-solving abilities but frequently fail on problems that deviate syntactically from their training distribution. We identify a systematic failure mode, syntactic blind spots, in which models misapply familiar reasoning strategies to problems that are semantically straightforward but phrased in unfamiliar ways. These errors are not due to gaps in mathematical competence, but rather reflect a brittle coupling between surface form …

Mathematical and numerical analysis of quantum signal processing
Lin Lin
https://arxiv.org/abs/2510.00443 https://arxiv.org/pdf/2510.00443

Mathematical and numerical analysis of quantum signal processing
Quantum signal processing (QSP) provides a representation of scalar polynomials of degree $d$ as products of matrices in $\mathrm{SU}(2)$, parameterized by $(d+1)$ real numbers known as phase factors. QSP is the mathematical foundation of quantum singular value transformation (QSVT), which is often regarded as one of the most important quantum algorithms of the past decade, with a wide range of applications in scientific computing, from Hamiltonian simulation to solving linear systems of equati…

Buchkritik: Fünf unlösbare Rätsel der Mathematik von Edmund Weitz
https://www.heise.de/tests/Buchkritik-Fuenf-unloesbare-Raetsel-der-Mathematik-von-Edmund-Weitz-10289741.html

from my link log —
Mutation testing for librsvg with cargo-mutants.
https://viruta.org/mutation-testing-librsvg.html
saved 2025-12-03 https://…

Median2Median: Zero-shot Suppression of Structured Noise in Images
Jianxu Wang, Ge Wang
https://arxiv.org/abs/2510.01666 https://arxiv.org/pdf/2510.01666…

Median2Median: Zero-shot Suppression of Structured Noise in Images
Image denoising is a fundamental problem in computer vision and medical imaging. However, real-world images are often degraded by structured noise with strong anisotropic correlations that existing methods struggle to remove. Most data-driven approaches rely on large datasets with high-quality labels and still suffer from limited generalizability, whereas existing zero-shot methods avoid this limitation but remain effective only for independent and identically distributed (i.i.d.) noise. To add…

🐪 Mathematical models reveal a 'hidden order' in dryland vegetation worldwide
https://phys.org/news/2025-10-mathematical-reveal-hidden-dryland-vegetation.html

Mathematical models reveal a 'hidden order' in dryland vegetation worldwide
If you've ever traveled through drylands, you may have noticed striking vegetation patterns—stripes, spots, or rings—scattered across otherwise barren landscapes. From "tiger bush" in West Africa to the enigmatic "fairy circles" of Namibia, these patterns have long inspired wonder and scientific curiosity.

Primer to get you started with Optimization and Mathematical Programming in R #rstats

CRAN Task View: Optimization and Mathematical Programming
This CRAN Task View contains a list of packages that offer facilities for solving optimization problems. Although every regression model in statistics solves an optimization problem, they are not part of this view. If you are looking for regression methods, the following views will also contain useful starting points: MachineLearning, Econometrics, Robust Packages are categorized according to the following sections. See also the “Related Links” and “Other Resources” sections at the end.

Chuva fortíssima caindo aqui agora. 😬

Acordei só agora. É gripe ou doença do sono, cacete?!! 😤

Que friozinho gostoso, ainda mais com esse vento gelado. O termômetro na šrea de serviço estš marcando 23 graus.