Tootfinder

SeamCrafte: Enhancing Mesh Seam Generation for Artist UV Unwrapping via Reinforcement Learning
Duoteng Xu, Yuguang Chen, Jing Li, Xinhai Liu, Xueqi Ma, Zhuo Chen, Dongyu Zhang, Chunchao Guo
https://arxiv.org/abs/2509.20725

SeamCrafte: Enhancing Mesh Seam Generation for Artist UV Unwrapping via Reinforcement Learning
Mesh seams play a pivotal role in partitioning 3D surfaces for UV parametrization and texture mapping. Poorly placed seams often result in severe UV distortion or excessive fragmentation, thereby hindering texture synthesis and disrupting artist workflows. Existing methods frequently trade one failure mode for another-producing either high distortion or many scattered islands. To address this, we introduce SeamCrafter, an autoregressive GPT-style seam generator conditioned on point cloud inputs…

Stratify or Die: Rethinking Data Splits in Image Segmentation
Naga Venkata Sai Jitin Jami, Thomas Altstidl, Jonas Mueller, Jindong Li, Dario Zanca, Bjoern Eskofier, Heike Leutheuser
https://arxiv.org/abs/2509.21056

Stratify or Die: Rethinking Data Splits in Image Segmentation
Random splitting of datasets in image segmentation often leads to unrepresentative test sets, resulting in biased evaluations and poor model generalization. While stratified sampling has proven effective for addressing label distribution imbalance in classification tasks, extending these ideas to segmentation remains challenging due to the multi-label structure and class imbalance typically present in such data. Building on existing stratification concepts, we introduce Iterative Pixel Stratifi…

Beyond Surface Alignment: Rebuilding LLMs Safety Mechanism via Probabilistically Ablating Refusal Direction
Yuanbo Xie, Yingjie Zhang, Tianyun Liu, Duohe Ma, Tingwen Liu
https://arxiv.org/abs/2509.15202

Beyond Surface Alignment: Rebuilding LLMs Safety Mechanism via Probabilistically Ablating Refusal Direction
Jailbreak attacks pose persistent threats to large language models (LLMs). Current safety alignment methods have attempted to address these issues, but they experience two significant limitations: insufficient safety alignment depth and unrobust internal defense mechanisms. These limitations make them vulnerable to adversarial attacks such as prefilling and refusal direction manipulation. We introduce DeepRefusal, a robust safety alignment framework that overcomes these issues. DeepRefusal forc…

Unraveling LLM Jailbreaks Through Safety Knowledge Neurons
Chongwen Zhao, Kaizhu Huang
https://arxiv.org/abs/2509.01631 https://arxiv.org/pdf/2509.01631

Unraveling LLM Jailbreaks Through Safety Knowledge Neurons
Large Language Models (LLMs) are increasingly attracting attention in various applications. Nonetheless, there is a growing concern as some users attempt to exploit these models for malicious purposes, including the synthesis of controlled substances and the propagation of disinformation, a technique known as "Jailbreak." While some studies have achieved defenses against jailbreak attacks by modifying output distributions or detecting harmful content, the exact rationale still remains elusive. …

Continuous Recovery of Phase from Single Interferogram
V. Berejnov, B. Y. Rubinstein
https://arxiv.org/abs/2509.06299 https://arxiv.org/pdf/2509.06299

Continuous Recovery of Phase from Single Interferogram
A new method for phase recovery from a single two-beam interferogram is presented. Conventional approaches, relying on trigonometric inversion followed by phase unfolding and unwrapping, are hindered by discontinuities, typically addressed through intricate algorithms. Our method bypasses the unfolding and unwrapping, instead formulating a first-order differential equation directly relating the phase to the interferogram. Integration of this equation enables continuous retrieval of phase along …

Unravelling the unique kinetic interactions between N2O and unsaturated hydrocarbons
Hongqing Wu, Guojie Liang, Tianzhou Jiang, Fan Li, Yang Li, Rongpei Jiang, Ruoyue Tang, Song Cheng
https://arxiv.org/abs/2509.02251

Unravelling the unique kinetic interactions between N2O and unsaturated hydrocarbons
The interaction between unsaturated hydrocarbons and N2O has attracted considerable attention in recent years due to their important roles as potential propellants for advanced propulsion systems e.g. NOFBX, key combustion intermediates in EGR systems, and as major pollutants and precursors in atmospheric chemistry. Although experimental studies and kinetic models have been developed to investigate its fuel chemistry, discrepancies remain between modeled and measured ignition delay times at low…

Towards effective models for low-dimensional cuprates: From ground state Hamiltonian reconstruction to spectral functions
Hannah Lange, Tizian Blatz, Ulrich Schollw\"ock, Sebastian Paeckel, Annabelle Bohrdt
https://arxiv.org/abs/2509.06947

Towards effective models for low-dimensional cuprates: From ground state Hamiltonian reconstruction to spectral functions
Understanding which minimal effective model captures the essential physics of cuprates is a key step towards unraveling the mechanism behind high-$T_c$ superconductivity. Recent measurements of the dynamical spin structure factor (DSF) in cuprate ladder compounds have indicated the presence of a large effective attraction in the single-band Hubbard model, possibly mediated by phonons. Here, we demonstrate that similar DSF features can also be captured by $t$-$J$ descriptions with or even withou…

Examining density wave correlations in high pressure $\rm{La_3Ni_2O_7}$ through variational Monte Carlo
Yanxin Chen, Haoxiang Chen, Tonghuan Jiang, Ji Chen
https://arxiv.org/abs/2509.07219

Examining density wave correlations in high pressure $\rm{La_3Ni_2O_7}$ through variational Monte Carlo
$\rm La_3Ni_2O_7$, a nickelate compound with a reported superconducting transition temperature of $\rm 80~K$, has attracted significant attention in recent years.Density-wave phenomena arising from strong electron correlations are widely regarded as key to unraveling the superconductivity mechanism, but the ordering and stability of these density waves remain a subject of contention in existing theoretical studies. In this work, we employ the variational Monte Carlo (VMC) method to thoroughly e…

An improved algorithm for separating clock delays from ionospheric effects in radio astronomy
C. M. Cordun, M. A. Brentjens, H. K. Vedantham, M. Mevius
https://arxiv.org/abs/2510.01371

An improved algorithm for separating clock delays from ionospheric effects in radio astronomy
Context: Low-frequency radio observations are heavily impacted by the ionosphere, where dispersive delays can outpace even instrumental clock offsets, posing a serious calibration challenge. Especially below 100 MHz, phase unwrapping difficulties and higher-order dispersion effects can complicate the separation of ionospheric and clock delays. Aims: We address this challenge by introducing a method for reliably separating clock delays from ionospheric effects, even under mediocre to poor ionosp…

Strain-control of electronic superlattice domains in CsV$_{3}$Sb$_{5}$
Elaheh Sadrollahi, Jo\~ao Almeida Mendes, Nina Stilkerich, Avdhesh Kumar Sharma, Chandra Shekhar, Claudia Felser, Tobias Ritschel, Jochen Geck
https://arxiv.org/abs/2509.05680

Strain-control of electronic superlattice domains in CsV$_{3}$Sb$_{5}$
The kagome metals AV$_{3}$Sb$_{5}$ (A = K, Rb, Cs) provide a unique platform to investigate the physics of interacting electrons, a central challenge in condensed matter physics. A key obstacle in unraveling their correlated behavior is to determine which structural and electronic degrees of freedom are involved and how they couple. Here we address this important issue with a novel approach, namely by exploring the strain dependence of electronic superlattices in CsV$_{3}$Sb$_{5}$. Using high-r…