Tootfinder

i was put in charge of three grandchildren for a few hours yesterday so we headed straight to ben & jerry's to split a milkshake, then explored the state theater (and even sneaked into a movie but later got thrown out for horsing around on the escalator), then i gave a nickel tour of angell/mason/haven halls, then they chased squirrels on the diag which took longer than you might think, then we looked in all the windows in nickels arcade. it all went slowly and well.

Convergence analysis of Left-Right splitting surface scattering method
Paul E Parbone, Mark Spivack, Orsola Rath Spivack
https://arxiv.org/abs/2508.12342 https://

Convergence analysis of Left-Right splitting surface scattering method
We study the convergence of the Left-Right splitting method (equivalent in key respects to the Method of Multiple Ordered Interactions and Forward-Backward method) for wave scattering by rough surfaces. This is an operator series method primarily designed for low grazing incidence and found in many cases to converge rapidly, often within one or two terms even for large incident angles. However, convergence is not guaranteed and semi-convergence may be observed. Our aims are two-fold: (1) To o…

NLI4VolVis: Natural Language Interaction for Volume Visualization via LLM Multi-Agents and Editable 3D Gaussian Splatting
Kuangshi Ai, Kaiyuan Tang, Chaoli Wang
https://arxiv.org/abs/2507.12621

NLI4VolVis: Natural Language Interaction for Volume Visualization via LLM Multi-Agents and Editable 3D Gaussian Splatting
Traditional volume visualization (VolVis) methods, like direct volume rendering, suffer from rigid transfer function designs and high computational costs. Although novel view synthesis approaches enhance rendering efficiency, they require additional learning effort for non-experts and lack support for semantic-level interaction. To bridge this gap, we propose NLI4VolVis, an interactive system that enables users to explore, query, and edit volumetric scenes using natural language. NLI4VolVis int…

Simulation-based inference using splitting schemes for partially observed diffusions in chemical reaction networks
Petar Jovanovski, Andrew Golightly, Umberto Picchini, Massimiliano Tamborrino
https://arxiv.org/abs/2508.11438

Simulation-based inference using splitting schemes for partially observed diffusions in chemical reaction networks
We address the problem of simulation and parameter inference for chemical reaction networks described by the chemical Langevin equation, a stochastic differential equation (SDE) representation of the dynamics of the chemical species. This is challenging for two main reasons. First, the (multi-dimensional) SDEs cannot be explicitly solved and are driven by multiplicative and non-commutative noise, requiring the development of advanced numerical schemes for their approximation and simulation. Sec…

Comparing Apples to Oranges: A Dataset & Analysis of LLM Humour Understanding from Traditional Puns to Topical Jokes
Tyler Loakman, William Thorne, Chenghua Lin
https://arxiv.org/abs/2507.13335

Comparing Apples to Oranges: A Dataset & Analysis of LLM Humour Understanding from Traditional Puns to Topical Jokes
Humour, as a complex language form, is derived from myriad aspects of life, whilst existing work on computational humour has focussed almost exclusively on short pun-based jokes. In this work, we investigate whether the ability of Large Language Models (LLMs) to explain humour depends on the particular humour form. We compare models on simple puns and more complex topical humour that requires knowledge of real-world entities and events. In doing so, we curate a dataset of 600 jokes split across…

2D MXene-Based Photocatalysts for Efficient Water Splitting and Hydrogen Evolution: A brief review
C. B. Subba, Prasad Mattipally, J. Sivakumar, A. Laref, A. Yvaz, D. P. Rai, Z. Pachuau
https://arxiv.org/abs/2506.13411

2D MXene-Based Photocatalysts for Efficient Water Splitting and Hydrogen Evolution: A brief review
Photocatalytic water splitting offers a viable and sustainable method for hydrogen production. MXenes, a class of 2D transition-metal carbides/nitrides, have emerged as potential photocatalysts and co-catalysts due to their tunable electronic properties, high conductivity, and surface functionality. This review explores recent advances in MXene-based photocatalysts for hydrogen production, discussing their synthesis, electronic structures, and photocatalytic mechanisms. The key challenges, incl…

Gradient-Direction-Aware Density Control for 3D Gaussian Splatting
Zheng Zhou, Yu-Jie Xiong, Chun-Ming Xia, Jia-Chen Zhang, Hong-Jian Zhan
https://arxiv.org/abs/2508.09239 https…

Gradient-Direction-Aware Density Control for 3D Gaussian Splatting
The emergence of 3D Gaussian Splatting (3DGS) has significantly advanced novel view synthesis through explicit scene representation, enabling real-time photorealistic rendering. However, existing approaches manifest two critical limitations in complex scenarios: (1) Over-reconstruction occurs when persistent large Gaussians cannot meet adaptive splitting thresholds during density control. This is exacerbated by conflicting gradient directions that prevent effective splitting of these Gaussians;…

Pair Cascades in Magnetar Magnetospheres
Alice K. Harding, Zorowar Wadiasingh, Matthew G. Baring
https://arxiv.org/abs/2508.11552 https://arxiv.org/pdf/250…

Pair Cascades in Magnetar Magnetospheres
Resonant inverse Compton scattering (RICS) of soft thermal photons by relativistic particles on closed magnetic field loops has been proposed to explain the hard emission observed up to, and beyond, 200 keV from magnetars. If particles injected at the base of the loops have Lorentz factors >= 10^2, the RICS spectra will be attenuated by both one-photon pair production and photon splitting in the ultra-strong magnetar fields, producing additional spectral components from pair synchrotron radiati…

Compressed data structures for Heegaard splittings
Henrique Ennes, Cl\'ement Maria
https://arxiv.org/abs/2507.11406 https://arxiv…

Compressed data structures for Heegaard splittings
Heegaard splittings provide a natural representation of closed 3-manifolds by gluing handlebodies along a common surface. These splittings can be equivalently given by two finite sets of meridians lying in the surface, which define a Heegaard diagram. We present a data structure to effectively represent Heegaard diagrams as normal curves with respect to triangulations of a surface of complexity measured by the space required to express the normal coordinates' vectors in binary. This structure c…

Oops!... They Stole it Again: Attacks on Split Learning
Tanveer Khan, Antonis Michalas
https://arxiv.org/abs/2508.10598 https://arxiv.org/pdf/2508.10598

Oops!... They Stole it Again: Attacks on Split Learning
Split Learning (SL) is a collaborative learning approach that improves privacy by keeping data on the client-side while sharing only the intermediate output with a server. However, the distributed nature of SL introduces new security challenges, necessitating a comprehensive exploration of potential attacks. This paper systematically reviews various attacks on SL, classifying them based on factors such as the attacker's role, the type of privacy risks, when data leaks occur, and where vulnerabi…