Tootfinder

Compute Only 16 Tokens in One Timestep: Accelerating Diffusion Transformers with Cluster-Driven Feature Caching
Zhixin Zheng, Xinyu Wang, Chang Zou, Shaobo Wang, Linfeng Zhang
https://arxiv.org/abs/2509.10312

Compute Only 16 Tokens in One Timestep: Accelerating Diffusion Transformers with Cluster-Driven Feature Caching
Diffusion transformers have gained significant attention in recent years for their ability to generate high-quality images and videos, yet still suffer from a huge computational cost due to their iterative denoising process. Recently, feature caching has been introduced to accelerate diffusion transformers by caching the feature computation in previous timesteps and reusing it in the following timesteps, which leverage the temporal similarity of diffusion models while ignoring the similarity in…

Augmenting a pure and hybrid vertical equilibrium scheme via data-driven surrogate modelling
Ivan Buntic, Bernd Flemisch
https://arxiv.org/abs/2509.12861 https://

Augmenting a pure and hybrid vertical equilibrium scheme via data-driven surrogate modelling
Vertical equilibrium (VE) models have been introduced as computationally efficient alternatives to traditional mass and momentum balance equations for fluid flow in porous media. Since VE models are only accurate in regions where phase equilibrium holds, while traditional simulations are computationally demanding, hybrid methods have been proposed to combine the accuracy of the full-dimensional approach with the efficiency of VE model. However, coupling both models introduces computational over…

TESS Subgiant and Lower Red Giant Asteroseismology in the Continuous Viewing Zones
Sophia Grusnis, Jamie Tayar, Diego Godoy-Rivera
https://arxiv.org/abs/2509.12513 https://

TESS Subgiant and Lower Red Giant Asteroseismology in the Continuous Viewing Zones
Asteroseismology, the study of stellar oscillations, and stellar modeling both offer profound insights into the fundamental properties and evolution of stars. With pySYD, a new open-source Python package, we were able to constrain the asteroseismic global parameters, $ν_{max}$ and $Δν$, for 82 solar-like oscillating subgiant and lower red giant stars, filling in the region between the Kepler dwarfs and giants. Using asteroseismic scaling relations, we were able to compute seismic masses, rad…

Progress on the #tricycle project is mainly in thinking about and working on the subframe. One thing that I'm sure is the right decision is to give the subframe a flat mounting flange, which will bolt down onto a matching pedestal within the hull. This will make the subframe easier to fabricate, and easier to mount/dismount - which I think will be needed for any work on the wheel or tyre.

IRS Direct File,
the electronic system for filing tax returns for free,
will not be offered next year,
the Trump administration has confirmed.
An email sent Monday from IRS official Cynthia Noe to state comptrollers that participate in the Direct File program said that
“IRS Direct File will not be available in Filing Season 2026. No launch date has been set for the future.”
The program developed during Joe Biden’s presidency
was credited by users with…

IRS Direct File won't be available next year for submitting tax returns for free
The Trump administration has decided not to offer the IRS' electronic tax filing system for free next year, and its future is unclear. An IRS official informed state comptrollers in an email Monday that "IRS Direct File will not be available in Filing Season 2026." Treasury Secretary Scott Bessent said better alternatives exist and the private sector can do a better job. The program, developed during Joe Biden's presidency, was praised for making tax filing easy and economical. However, it face…

Run-Time Monitoring of ERTMS/ETCS Control Flow by Process Mining
Francesco Vitale, Tommaso Zoppi, Francesco Flammini, Nicola Mazzocca
https://arxiv.org/abs/2509.10419 https://…

Run-Time Monitoring of ERTMS/ETCS Control Flow by Process Mining
Ensuring the resilience of computer-based railways is increasingly crucial to account for uncertainties and changes due to the growing complexity and criticality of those systems. Although their software relies on strict verification and validation processes following well-established best-practices and certification standards, anomalies can still occur at run-time due to residual faults, system and environmental modifications that were unknown at design-time, or other emergent cyber-threat sce…

Dispersion of collective modes in spinful fractional quantum Hall states on the sphere
Rakesh K. Dora, Ajit C. Balram
https://arxiv.org/abs/2509.13100 https://

Dispersion of collective modes in spinful fractional quantum Hall states on the sphere
Collective modes capture the dynamical aspects of fractional quantum Hall (FQH) fluids. Depending on the active degrees of freedom, different types of collective modes can arise in a FQH state. In this work, we consider spinful FQH states in the lowest Landau level (LLL) along the Jain sequence of fillings $ν{=}n/(2n{\pm}1)$ and compute the Coulomb dispersion of their spin-flip and spin-conserving collective modes in the spherical geometry. We use the LLL-projected density-wave and composite f…

Matchmaker: An Open-source Library for Real-time Piano Score Following and Systematic Evaluation
Jiyun Park, Carlos Cancino-Chac\'on, Suhit Chiruthapudi, Juhan Nam
https://arxiv.org/abs/2510.10087 …

Matchmaker: An Open-source Library for Real-time Piano Score Following and Systematic Evaluation
Real-time music alignment, also known as score following, is a fundamental MIR task with a long history and is essential for many interactive applications. Despite its importance, there has not been a unified open framework for comparing models, largely due to the inherent complexity of real-time processing and the language- or system-dependent implementations. In addition, low compatibility with the existing MIR environment has made it difficult to develop benchmarks using large datasets avail…

Constant Time with Minimal Preprocessing, a Robust and Extensive Complexity Class
\'Etienne Grandjean, Louis Jachiet
https://arxiv.org/abs/2509.10188 https://

Constant Time with Minimal Preprocessing, a Robust and Extensive Complexity Class
In this paper, we study the class $\mathtt{cstPP}$ of operations $\mathtt{op}: \mathbb{N}^k\to\mathbb{N}$, of any fixed arity $k\ge 1$, satisfying the following property: for each fixed integer $d\ge 1$, there exists an algorithm for a RAM machine which, for any input integer $N\ge 2$, - pre-computes some tables in $O(N)$ time, - then reads $k$ operands $x_1,\ldots,x_k

FLOWING: Implicit Neural Flows for Structure-Preserving Morphing
Arthur Bizzi, Matias Grynberg, Vitor Matias, Daniel Perazzo, Jo\~ao Paulo Lima, Luiz Velho, Nuno Gon\c{c}alves, Jo\~ao Pereira, Guilherme Schardong, Tiago Novello
https://arxiv.org/abs/2510.09537

FLOWING: Implicit Neural Flows for Structure-Preserving Morphing
Morphing is a long-standing problem in vision and computer graphics, requiring a time-dependent warping for feature alignment and a blending for smooth interpolation. Recently, multilayer perceptrons (MLPs) have been explored as implicit neural representations (INRs) for modeling such deformations, due to their meshlessness and differentiability; however, extracting coherent and accurate morphings from standard MLPs typically relies on costly regularizations, which often lead to unstable traini…