Tootfinder

"hoverflies, like some romantic go-between, allow plants hundreds of kilometres apart to mate."
🎁opens five times within seven days.
Hoverflies are long-distance travellers
https://www.economist.com/science-and-technology/2025/10/08/hoverflies-are-long-distance-travellers?giftId=adcfa6b9-bae8-4ae2-a926-9c7b7f88a0a6&utm_campaign=gifted_article

Semi-implicit strategies for the Serre-Green-Naghdi equations in hyperbolic form. Is hyperbolic relaxation really a good idea?
Emanuele Macca, Walter Boscheri, Mario Ricchiuto
https://arxiv.org/abs/2510.07539

Semi-implicit strategies for the Serre-Green-Naghdi equations in hyperbolic form. Is hyperbolic relaxation really a good idea?
The Serre-Green-Naghdi (SGN) equations provide a valuable framework for modelling fully nonlinear and weakly dispersive shallow-water flows. However, their elliptic formulation can considerably increase the computational cost compared to the Saint-Venant equations. To overcome this difficulty, hyperbolic models (hSGN) have been proposed that replace the elliptic operators with first-order hyperbolic formulations augmented by relaxation terms, which recover the original elliptic formulation in t…

Are LLMs Enough for Hyperpartisan, Fake, Polarized and Harmful Content Detection? Evaluating In-Context Learning vs. Fine-Tuning
Michele Joshua Maggini, Dhia Merzougui, Rabiraj Bandyopadhyay, Ga\"el Dias, Fabrice Maurel, Pablo Gamallo
https://arxiv.org/abs/2509.07768

Are LLMs Enough for Hyperpartisan, Fake, Polarized and Harmful Content Detection? Evaluating In-Context Learning vs. Fine-Tuning
The spread of fake news, polarizing, politically biased, and harmful content on online platforms has been a serious concern. With large language models becoming a promising approach, however, no study has properly benchmarked their performance across different models, usage methods, and languages. This study presents a comprehensive overview of different Large Language Models adaptation paradigms for the detection of hyperpartisan and fake news, harmful tweets, and political bias. Our experimen…

Hyperpfaffian Correlations for Beta-Ensembles: Beta an Even Square Integer
Christopher D. Sinclair, Jonathan M. Wells
https://arxiv.org/abs/2509.05487 https://

Hyperpfaffian Correlations for Beta-Ensembles: Beta an Even Square Integer
We give a hyperpfaffian formulation for correlation functions in $β$-ensembles of $M \times M$ random matrices when $β= L^2$ is an even square integer. More specifically, to the $m$th correlation function $R_m : \R^m \rightarrow [0, \infty)$ we associate the $L$-vector valued function $ω_m : \R^m \rightarrow Λ^L \R^{L(M-m)}$ such that $R_m(\mathbf y)$ is given by the Vandermonde determinant in $y_1, \ldots, y_M$ times the hyperpfaffian of $ω_m.$ The partition function of the ensemble was p…

Wasserstein convergence rates in the invariance principle for nonuniformly hyperbolic flows
Ian Melbourne, Zhe Wang
https://arxiv.org/abs/2509.07657 https://

Wasserstein convergence rates in the invariance principle for nonuniformly hyperbolic flows
We obtain $q$-Wasserstein convergence rates in the invariance principle for nonuniformly hyperbolic flows, where $q\ge1$ depends on the degree of nonuniformity. Utilizing a martingale-coboundary decomposition for nonuniformly expanding semiflows, we extend techniques from the discrete-time setting to the continuous-time case. Our results apply to uniformly hyperbolic (Axiom A) flows, nonuniformly hyperbolic flows that can be modelled by suspensions over Young towers with exponential tails (such…

Graphical small cancellation and hyperfiniteness of boundary actions
Chris Karpinski, Damian Osajda, Koichi Oyakawa
https://arxiv.org/abs/2509.05548 https://

Graphical small cancellation and hyperfiniteness of boundary actions
We study actions of (infinitely presented) graphical small cancellation groups on the Gromov boundaries of their coned-off Cayley graphs. We show that a class of graphical small cancellation groups, including (infinitely presented) classical small cancellation groups, admit hyperfinite boundary actions, more precisely, the orbit equivalence relation that they induce on the boundaries of the coned-off Cayley graphs is hyperfinite.

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This is not hyperbole; if you let shit generate shit for you, you get shit squared

Reinforcement learning for online hyperparameter tuning in convex quadratic programming
Jeremy Bertoncini, Alberto De Marchi, Matthias Gerdts, Simon Gottschalk
https://arxiv.org/abs/2509.07404

Reinforcement learning for online hyperparameter tuning in convex quadratic programming
Quadratic programming is a workhorse of modern nonlinear optimization, control, and data science. Although regularized methods offer convergence guarantees under minimal assumptions on the problem data, they can exhibit the slow tail-convergence typical of first-order schemes, thus requiring many iterations to achieve high-accuracy solutions. Moreover, hyperparameter tuning significantly impacts on the solver performance but how to find an appropriate parameter configuration remains an elusive …

Ergodic cocycles in hyperbolic and Hadamard spaces
Corentin Le Bars
https://arxiv.org/abs/2509.06797 https://arxiv.org/pdf/2509.06797

Ergodic cocycles in hyperbolic and Hadamard spaces
We consider discrete random dynamical systems induced by a non-elementary group action on a non-proper hyperbolic space. We prove that if the system is ergodic and satisfies the ``asymptotic past and future independence condition'' as defined by Bader and Furman, the associated ergodic cocycle converges to the Gromov boundary almost surely. If the cocycle has finite first moment, we show that its drift is positive. Using hyperbolic models introduced by Petyt-Spriano-Zalloum, we prove analogous …