Tootfinder

HyperTASR: Hypernetwork-Driven Task-Aware Scene Representations for Robust Manipulation
Li Sun, Jiefeng Wu, Feng Chen, Ruizhe Liu, Yanchao Yang
https://arxiv.org/abs/2508.18802 …

HyperTASR: Hypernetwork-Driven Task-Aware Scene Representations for Robust Manipulation
Effective policy learning for robotic manipulation requires scene representations that selectively capture task-relevant environmental features. Current approaches typically employ task-agnostic representation extraction, failing to emulate the dynamic perceptual adaptation observed in human cognition. We present HyperTASR, a hypernetwork-driven framework that modulates scene representations based on both task objectives and the execution phase. Our architecture dynamically generates representa…

Hierarchy and ranking in pairwise sports contests
Bogd\'an Asztalos, Boldizs\'ar Bal\'azs, Gergely Palla, Tam\'as Vicsek
https://arxiv.org/abs/2508.19848 https:/…

Hierarchy and ranking in pairwise sports contests
Ranking athletes by their performance in competitions and tournaments is common in every popular sport and has significant benefits that contribute to both the organization and strategic aspects of competitions. Although rankings are perhaps the most concise and most straightforward representation of the relative strength among the competitors, beyond this one-dimensional characterization, it is also possible to capture the relationships between athletes in greater detail. Following this approa…

Signatures of spin-glass superconductivity in nickelate (La, Pr, Sm)3Ni2O7 films
Haoran Ji, Zheyuan Xie, Yaqi Chen, Guangdi Zhou, Longxin Pan, Heng Wang, Haoliang Huang, Jun Ge, Yi Liu, Guang-Ming Zhang, Ziqiang Wang, Qi-Kun Xue, Zhuoyu Chen, Jian Wang
https://arxiv.org/abs/2508.16412

Signatures of spin-glass superconductivity in nickelate (La, Pr, Sm)3Ni2O7 films
The discovery of Ruddlesden-Popper (R-P) nickelate superconductors under high pressure heralds a new chapter of high-transition temperature (high-Tc) superconductivity. Recently, ambient-pressure superconductivity is achieved in R-P bilayer nickelate thin films through epitaxial compressive strain, unlocking in-depth investigations into the superconducting characteristics. Here, through electrical transport study, we report the observation of spin-glass superconductivity with hysteretic magneto…

Diversity Boosts AI-Generated Text Detection
Advik Raj Basani, Pin-Yu Chen
https://arxiv.org/abs/2509.18880 https://arxiv.org/pdf/2509.18880

Adaptive User Interest Modeling via Conditioned Denoising Diffusion For Click-Through Rate Prediction
Qihang Zhao, Xiaoyang Zheng, Ben Chen, Zhongbo Sun, Chenyi Lei
https://arxiv.org/abs/2509.19876

Adaptive User Interest Modeling via Conditioned Denoising Diffusion For Click-Through Rate Prediction
User behavior sequences in search systems resemble "interest fossils", capturing genuine intent yet eroded by exposure bias, category drift, and contextual noise. Current methods predominantly follow an "identify-aggregate" paradigm, assuming sequences immutably reflect user preferences while overlooking the organic entanglement of noise and genuine interest. Moreover, they output static, context-agnostic representations, failing to adapt to dynamic intent shifts under varying Query-User-Item-C…

You Don't Know Until You Click:Automated GUI Testing for Production-Ready Software Evaluation
Yutong Bian, Xianhao Lin, Yupeng Xie, Tianyang Liu, Mingchen Zhuge, Siyuan Lu, Haoming Tang, Jinlin Wang, Jiayi Zhang, Jiaqi Chen, Xiangru Tang, Yongxin Ni, Sirui Hong, Chenglin Wu
https://arxiv.org/abs/2508.14104

You Don't Know Until You Click:Automated GUI Testing for Production-Ready Software Evaluation
Large Language Models (LLMs) and code agents in software development are rapidly evolving from generating isolated code snippets to producing full-fledged software applications with graphical interfaces, interactive logic, and dynamic behaviors. However, current benchmarks fall short in evaluating such production-ready software, as they often rely on static checks or binary pass/fail scripts, failing to capture the interactive behaviors and runtime dynamics that define real-world usability - qu…

Ground and low-lying excited state potential energy surfaces of diiodomethane in four dimensions
Yijue Ding
https://arxiv.org/abs/2508.14843 https://arxiv.…

Ground and low-lying excited state potential energy surfaces of diiodomethane in four dimensions
We report a set of adiabatic potential energy surfaces (PESs) for diiodomethane, including the ground electronic state and all excited states accessible via single-photon absorption near 260 nm. Although constrained to four dimensions, these PESs capture the essential photochemical processes following photoexcitation--namely, bond breaking and rearrangement among the methyl radical and the two iodine atoms. Constructed using an accurate and efficient spline interpolation algorithm, the PESs rep…

A New Subclass of Carbon-Enhanced Metal-Poor Stars at Extremely Low Metallicity
Young Sun Lee, Timothy C. Beers, Yutaka Hirai, Jihye Hong, Miji Jeong, Changmin Kim, Young Kwang Kim
https://arxiv.org/abs/2509.16510

A New Subclass of Carbon-Enhanced Metal-Poor Stars at Extremely Low Metallicity
We report the discovery of a new subclass of carbon-enhanced metal-poor (CEMP) stars, characterized by high absolute carbon abundances (A(C) > 7.39) and extremely low metallicity ([Fe/H] $<=$ -3.1) but notably lacking enhancements in neutron-capture elements, thus falling under the CEMP-no category. This population emerged from a detailed analysis of low-resolution spectroscopic data obtained from the Sloan Digital Sky Survey (SDSS) and the Large Sky Area Multi-Object Fiber Spectroscopic Telesc…

Learn to Rank Risky Investors: A Case Study of Predicting Retail Traders' Behaviour and Profitability
Weixian Waylon Li, Tiejun Ma
https://arxiv.org/abs/2509.16616 https://

Learn to Rank Risky Investors: A Case Study of Predicting Retail Traders' Behaviour and Profitability
Identifying risky traders with high profits in financial markets is crucial for market makers, such as trading exchanges, to ensure effective risk management through real-time decisions on regulation compliance and hedging. However, capturing the complex and dynamic behaviours of individual traders poses significant challenges. Traditional classification and anomaly detection methods often establish a fixed risk boundary, failing to account for this complexity and dynamism. To tackle this issue…

An extension of the Floquet-Bloch theory to nilpotent groups and its applications
Atsushi Katsuda
https://arxiv.org/abs/2509.16848 https://arxiv.org/pdf/25…

An extension of the Floquet-Bloch theory to nilpotent groups and its applications
We develop a generalized Floquet-Bloch theory for discrete torsion-free nilpotent groups by exploiting their Malcev completions. Our main result is a branching formula that relates finite-dimensional representations of a discrete nilpotent lattice to infinite-dimensional unitary representations of its simply connected nilpotent Lie group. This generalization enables to extend the following two classical asymptotic problems (i) a Chebotarev density analogue for prime closed geodesics on compact …