Tootfinder

I maintain a heterogeneous MSP environment for backup which consists of a collection of sh scripts (they mostly run on FreeBSD) with (c) notes dating back to 2004, with 5 authors, 4 of whom are no longer my cow-orkers. As the unfortunate 5th, I am still doing tweaks to catch edge & corner cases >20y after the 1st author had the idea that rsync, shell, mt, & standard POSIX tools could be assembled into a decent free backup world.
Use Python. Or Go. Or even Perl.

Logical Inferentialism & Attacks on Classical Logic
Khashayar Irani
https://arxiv.org/abs/2506.04295 https://arxiv.org/pdf/2506.0…

Logical Inferentialism & Attacks on Classical Logic
This paper undertakes a foundational inquiry into logical inferentialism with particular emphasis on the normative standards it establishes and the implications these pose for classical logic. The central question addressed herein is: 'What is Logical Inferentialism & How do its Standards challenge Classical Logic?' In response, the study begins with a survey of the three principal proof systems that is, David Hilbert's axiomatic systems and Gerhard Gentzen's natural deduction and his sequent c…

Modeling the high-brightness state of the recurrent nova T CrB as an enhanced mass-transfer event
Wagner Schlindwein, Raymundo Baptista, Gerardo Juan Manuel Luna
https://arxiv.org/abs/2506.05098

Modeling the high-brightness state of the recurrent nova T CrB as an enhanced mass-transfer event
T~Coronae Borealis is the nearest symbiotic recurrent nova. Twice in the last two centuries, in 1866 and 1946, the accreted material ignited on the surface of the white dwarf via runaway thermonuclear fusion reactions and produced a nova eruption. Both eruptions occurred approximately midway through a transient state of high luminosity. A possible explanation of such a state is a dwarf-nova-like outburst, which may arise from a transient increase in the mass-transfer rate of the donor star. We …

Minimizing the Gauss map area of surfaces in $\mathbb{S}^3$
Gerard Orriols, Tristan Rivi\`ere
https://arxiv.org/abs/2506.05141 https://

Minimizing the Gauss map area of surfaces in $\mathbb{S}^3$
We establish the lower bound of $4π(1+g)$ for the area of the Gauss map of any immersion of a closed oriented surface of genus $g$ into $\mathbb{S}^3$, taking values in the Grassmannian of $2$-planes in $\mathbb{R}^4$. This lower bound is proved to be optimal for any genus $g \in \mathbb{N}$ but attained only when $g = 0$. For $g \neq 0$ we describe the behavior of any minimizing sequence of embeddings: we prove that, modulo extraction of a subsequence, the surfaces converge in the Hausdorff d…

🇺🇦 #NowPlaying on KEXP's #SundaySoul
Gerard "PJ" Browne:
🎵 Sexy Lady
#Gerard"PJ"Browne

Exploring metrics for analyzing dynamic behavior in MPI programs via a coupled-oscillator model
Ayesha Afzal, Georg Hager, Gerhard Wellen
https://arxiv.org/abs/2506.02792

Exploring metrics for analyzing dynamic behavior in MPI programs via a coupled-oscillator model
We propose a novel, lightweight, and physically inspired approach to modeling the dynamics of parallel distributed-memory programs. Inspired by the Kuramoto model, we represent MPI processes as coupled oscillators with topology-aware interactions, custom coupling potentials, and stochastic noise. The resulting system of nonlinear ordinary differential equations opens a path to modeling key performance phenomena of parallel programs, including synchronization, delay propagation and decay, bottle…

Common Corpus: The Largest Collection of Ethical Data for LLM Pre-Training
Pierre-Carl Langlais, Carlos Rosas Hinostroza, Mattia Nee, Catherine Arnett, Pavel Chizhov, Eliot Krzystof Jones, Ir\`ene Girard, David Mach, Anastasia Stasenko, Ivan P. Yamshchikov
https://arxiv.org/abs/2506.01732

Common Corpus: The Largest Collection of Ethical Data for LLM Pre-Training
Large Language Models (LLMs) are pre-trained on large amounts of data from different sources and domains. These data most often contain trillions of tokens with large portions of copyrighted or proprietary content, which hinders the usage of such models under AI legislation. This raises the need for truly open pre-training data that is compliant with the data security regulations. In this paper, we introduce Common Corpus, the largest open dataset for language model pre-training. The data assem…

Thermodynamic Signatures of Gaussian Entanglement Beyond Entropy
Beatriz Polo, Federico Centrone, Mir Alimuddin, Gerardo Adesso
https://arxiv.org/abs/2505.24596

Thermodynamic Signatures of Gaussian Entanglement Beyond Entropy
Continuous-variable quantum thermodynamics in the Gaussian regime provides a promising framework for investigating the energetic role of quantum correlations, particularly in optical systems. In this work, we introduce an entropy-free criterion for entanglement detection in bipartite Gaussian states, rooted in a distinct thermodynamic quantity: ergotropy -- the maximum extractable work via unitary operations. By defining the relative ergotropic gap, which quantifies the disparity between global…

Gerard ligt in zijn eigen huis in zijn eigen bed op zijn zij, bij te komen en wacht op het eten dat de buurvrouw straks zal brengen.
😊