Tootfinder

Is it really foss?
Where Projects are Evaluated — To see if they're as free and open source as advertised. The software rights of users are continously (and often opaquely) being eroded by the desire of growth.
This website aims to push back against that by bringing transparency to FOSS software users.
💻 https://isitreallyfoss.com

Software Release on Friday // click5 - YouTube
#quality #software

Puse un par de bananos en el patio y llegaron en pocos minutos:
- Pechoamarillos benteveo (Pitangus sulphuratus)
- Yigüirros (Turdus grayi) ave nacional de 🇨🇷
- Baltimore oriole (Icterus galbula)
- Una paloma de color rojizo (quizšs Patagioenas flavirostris)
- Carpintero de hoffman (Melanerpes hoffmannii)
Excelente servicio

Multi-Marginal Flow Matching with Adversarially Learnt Interpolants
Oskar Kviman, Kirill Tamogashev, Nicola Branchini, V\'ictor Elvira, Jens Lagergren, Nikolay Malkin
https://arxiv.org/abs/2510.01159

Multi-Marginal Flow Matching with Adversarially Learnt Interpolants
Learning the dynamics of a process given sampled observations at several time points is an important but difficult task in many scientific applications. When no ground-truth trajectories are available, but one has only snapshots of data taken at discrete time steps, the problem of modelling the dynamics, and thus inferring the underlying trajectories, can be solved by multi-marginal generalisations of flow matching algorithms. This paper proposes a novel flow matching method that overcomes the …

🇺🇦 #NowPlaying on KEXP's #MorningShow
The Band:
🎵 The Weight
#TheBand
https://davidbakermusic.bandcamp.com/track/the-band-the-weight-instrumental-cover
https://open.spotify.com/track/2UgZeV435iztRTLrUeOrtk

Theory of Scaling Laws for In-Context Regression: Depth, Width, Context and Time
Blake Bordelon, Mary I. Letey, Cengiz Pehlevan
https://arxiv.org/abs/2510.01098 https://

Theory of Scaling Laws for In-Context Regression: Depth, Width, Context and Time
We study in-context learning (ICL) of linear regression in a deep linear self-attention model, characterizing how performance depends on various computational and statistical resources (width, depth, number of training steps, batch size and data per context). In a joint limit where data dimension, context length, and residual stream width scale proportionally, we analyze the limiting asymptotics for three ICL settings: (1) isotropic covariates and tasks (ISO), (2) fixed and structured covarianc…

Automated Modeling with AAP-Imfit: Astrometry and Photometry via CASA
Alfredo Amador-Portes, Eva Palafox, V\'ictor M. Pati\~no-\'Alvarez, Vahram Chavushyan, Andrei P. Lobanov, Sergio A. Dzib
https://arxiv.org/abs/2510.00119

Automated Modeling with AAP-Imfit: Astrometry and Photometry via CASA
Very Long Baseline Interferometry (VLBI) provides the highest-resolution radio intensity maps, crucial for detailed studies of compact sources like active galactic nuclei (AGN) and their relativistic jets. Analyzing jet components in these maps traditionally involves manual Gaussian fitting, a time-consuming bottleneck for large datasets. To address this, we present an automated batch-processing tool, based on the Gaussian fitting capabilities of CASA, designed to streamline VLBI jet component …

Splitting and Merging of Stagnation Points of Solutions to the 2D Navier-Stokes Equations
Isidro Benaroya, Alberto Enciso, Daniel Peralta-Salas
https://arxiv.org/abs/2510.00784 …

Splitting and Merging of Stagnation Points of Solutions to the 2D Navier-Stokes Equations
We construct solutions to the Navier-Stokes equations on $\mathbf{R}^2$ with an arbitrary number of stagnation points which merge and split along trajectories that can be prescribed freely, up to a small deformation.

Spatial Gaussian fields for complex areas with application to marine megafauna conservation
Martina Le-Bert Heyl, Janet van Niekerk, Haavard Rue
https://arxiv.org/abs/2510.00611

Spatial Gaussian fields for complex areas with application to marine megafauna conservation
Spatial Gaussian fields (SGFs) are widely employed in modeling the distributions of marine megafauna, yet they traditionally rely on assumptions of isotropy and stationarity, conditions that often prove unrealistic in complex ecological environments featuring coastlines, islands, and depth gradients acting as partial movement barriers. Existing spatial models typically treat these barriers as either fully impermeable, completely blocking species movement and dispersal, or entirely absent, which…

Dimerization in the SU(4) Heisenberg model on the cubic lattice: iPEPS study
Illia Lukin, Andrii Sotnikov
https://arxiv.org/abs/2510.00284 https://arxiv.or…

Dimerization in the SU(4) Heisenberg model on the cubic lattice: iPEPS study
We study SU(4)-symmetric Heisenberg model on the cubic lattice with spatially anisotropic magnetic couplings. We utilize several approaches based on the tensor-network representation of the many-body wave functions, which enable accurate analysis of ground-state properties of the model in different regimes of spatial anisotropy including fully isotropic three-dimensional case. Our results point to the persistence of the dimerized color-ordered phase throughout whole range of magnetic couplings …