Tootfinder

Rookie Bluejays pitcher.
4th MLB game in his career
Struck out the first Yankee.
then he walked Judge on 4 pitches.
then strikes out the third.
#mlb #bluejays #yankees

A Catalog of Forty-two Heartbeat Stars Discovered in TESS Data
Min-Yu Li, Sheng-Bang Qian, Ai-Ying Zhou, Li-Ying Zhu, Wen-Ping Liao, Lin-Feng Chang, Xiang-Dong Shi, Fu-Xing Li, Qi-Bin Sun, Ping Li
https://arxiv.org/abs/2508.01156

A Catalog of Forty-two Heartbeat Stars Discovered in TESS Data
Heartbeat stars (HBSs) are ideal laboratories for studying the formation and evolution of binary stars in eccentric orbits and their internal tidal interactions. We present 42 new HBSs discovered based on TESS photometric data. Their light curves are modeled by using a corrected version of Kumar et al.'s model or the PHOEBE binary model code. Tidally excited oscillations (TEOs) are detected in ten systems, with most pulsation phases can be explained by the dominant being $l=2$, $m=0$, or $\pm2$…

Baseline-free Damage Detection and Localization on Composite Structures with Unsupervised Kolmogorov-Arnold Autoencoder and Guided Waves
Yunlai Liao, Yihan Wang, Chen Fang, Xin Yang, Xianping Zeng, Dimitrios Chronopoulos, Xinlin Qing
https://arxiv.org/abs/2508.01081

Baseline-free Damage Detection and Localization on Composite Structures with Unsupervised Kolmogorov-Arnold Autoencoder and Guided Waves
Structural health monitoring (SHM) ensures the safety and longevity of structures such as aerospace equipment and wind power installations. Developing a simple, highly flexible, and scalable SHM method that does not depend on baseline models is significant for ensuring the operational integrity of advanced composite structures. In this regard, a hybrid baseline-free damage detection and localization framework incorporating an unsupervised Kolmogorov-Arnold autoencoder (KAE) and modified probabi…

Inverse IFEval: Can LLMs Unlearn Stubborn Training Conventions to Follow Real Instructions?
Qinyan Zhang, Xinping Lei, Ruijie Miao, Yu Fu, Haojie Fan, Le Chang, Jiafan Hou, Dingling Zhang, Zhongfei Hou, Ziqiang Yang, Changxin Pu, Fei Hu, Jingkai Liu, Mengyun Liu, Yang Liu, Xiang Gao, Jiaheng Liu, Tong Yang, Zaiyuan Wang, Ge Zhang, Wenhao Huang
https://

Inverse IFEval: Can LLMs Unlearn Stubborn Training Conventions to Follow Real Instructions?
Large Language Models (LLMs) achieve strong performance on diverse tasks but often exhibit cognitive inertia, struggling to follow instructions that conflict with the standardized patterns learned during supervised fine-tuning (SFT). To evaluate this limitation, we propose Inverse IFEval, a benchmark that measures models Counter-intuitive Abilitytheir capacity to override training-induced biases and comply with adversarial instructions. Inverse IFEval introduces eight types of such challenges, …

Structure Maintained Representation Learning Neural Network for Causal Inference
Yang Sun, Wenbin Lu, Yi-Hui Zhou
https://arxiv.org/abs/2508.01865 https://…

Structure Maintained Representation Learning Neural Network for Causal Inference
Recent developments in causal inference have greatly shifted the interest from estimating the average treatment effect to the individual treatment effect. In this article, we improve the predictive accuracy of representation learning and adversarial networks in estimating individual treatment effects by introducing a structure keeper which maintains the correlation between the baseline covariates and their corresponding representations in the high dimensional space. We train a discriminator at …

Simulation to Rules: A Dual-VLM Framework for Formal Visual Planning
Yilun Hao, Yongchao Chen, Chuchu Fan, Yang Zhang
https://arxiv.org/abs/2510.03182 https://

Simulation to Rules: A Dual-VLM Framework for Formal Visual Planning
Vision Language Models (VLMs) show strong potential for visual planning but struggle with precise spatial and long-horizon reasoning. In contrast, Planning Domain Definition Language (PDDL) planners excel at long-horizon formal planning, but cannot interpret visual inputs. Recent works combine these complementary advantages by enabling VLMs to turn visual planning problems into PDDL files for formal planning. However, while VLMs can generate PDDL problem files satisfactorily, they struggle to a…

LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence
Xingxuan Zhang, Gang Ren, Han Yu, Hao Yuan, Hui Wang, Jiansheng Li, Jiayun Wu, Lang Mo, Li Mao, Mingchao Hao, Ningbo Dai, Renzhe Xu, Shuyang Li, Tianyang Zhang, Yue He, Yuanrui Wang, Yunjia Zhang, Zijing Xu, Dongzhe Li, Fang Gao, Hao Zou, Jiandong Liu, Jiashuo Liu, Jiawei Xu, Kaijie Cheng, Kehan Li, Linjun Zhou, Qing Li, Shaohua Fan, Xiaoyu Lin, Xinyan Han, Xuanyue Li, Yan Lu, Yuan Xue, Yuanyuan Jiang, Zi…

LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence
We argue that progress toward general intelligence requires complementary foundation models grounded in language, the physical world, and structured data. This report presents LimiX, the first installment of our large structured-data models (LDMs). LimiX treats structured data as a joint distribution over variables and missingness, thus capable of addressing a wide range of tabular tasks through query-based conditional prediction via a single model. LimiX is pretrained using masked joint-distri…

“Somebody from DOGE was very badly hurt last night,” Trump said Tuesday. “A young man who was beat up by a bunch of thugs in D.C. And either they're gonna straighten their act out in terms of government and in terms of protection of we're gonna have to federalize.”
Former DOGE employee nicknamed ‘Big Balls’ attacked in DC, report claims | The Independent
https://www.the-independent.com/news/world/americas/crime/doge-big-balls-dc-attack-trump-b2802651.html

TacMan-Turbo: Proactive Tactile Control for Robust and Efficient Articulated Object Manipulation
Zihang Zhao, Zhenghao Qi, Yuyang Li, Leiyao Cui, Zhi Han, Lecheng Ruan, Yixin Zhu
https://arxiv.org/abs/2508.02204

TacMan-Turbo: Proactive Tactile Control for Robust and Efficient Articulated Object Manipulation
Adept manipulation of articulated objects is essential for robots to operate successfully in human environments. Such manipulation requires both effectiveness -- reliable operation despite uncertain object structures -- and efficiency -- swift execution with minimal redundant steps and smooth actions. Existing approaches struggle to achieve both objectives simultaneously: methods relying on predefined kinematic models lack effectiveness when encountering structural variations, while tactile-inf…

Spectroscopic Confirmation: Fast rotators in the young clusters NGC 1856 and NGC 1953
Paul I. Cristofari, Andrea K. Dupree, Antonino P. Milone, Mario Mateo, Matias Chiarpotti
https://arxiv.org/abs/2508.02599

Spectroscopic Confirmation: Fast rotators in the young clusters NGC 1856 and NGC 1953
We present the results of a spectroscopic investigation of two Large Magellanic Cloud globular clusters, NGC 1953 and NGC 1856. Both clusters have similar ages (250 and 300 Myr, respectively). Spectra were recorded with the Michigan/Magellan Fiber System located on the Magellan-Clay 6.5m telescope. Spectra were visually inspected to assess the presence of stellar H$α$ emission lines attributed to B stars rotating close to breakup velocity (Be stars). High fractions of Be stars in the cluster t…