Tootfinder

Quantum SAT Problems with Finite Sets of Projectors are Complete for a Plethora of Classes
Ricardo Rivera Cardoso, Alex Meiburg, Daniel Nagaj
https://arxiv.org/abs/2506.07244

Quantum SAT Problems with Finite Sets of Projectors are Complete for a Plethora of Classes
Previously, all known variants of the Quantum Satisfiability (QSAT) problem, i.e. deciding whether a $k$-local ($k$-body) Hamiltonian is frustration-free, could be classified as being either in $\mathsf{P}$; or complete for $\mathsf{NP}$, $\mathsf{MA}$, or $\mathsf{QMA_1}$. Here, we demonstrate new qubit variants of this problem that are complete for $\mathsf{BQP_1}$, $\mathsf{coRP}$, $\mathsf{QCMA}$, $\mathsf{PI(coRP,NP)}$, $\mathsf{PI(BQP_1,NP)}$, $\mathsf{PI(BQP_1,MA)}$, $\mathsf{SoPU(coRP,N…

WhisQ: Cross-Modal Representation Learning for Text-to-Music MOS Prediction
Jakaria Islam Emon, Kazi Tamanna Alam, Md. Abu Salek
https://arxiv.org/abs/2506.05899

WhisQ: Cross-Modal Representation Learning for Text-to-Music MOS Prediction
Mean Opinion Score (MOS) prediction for text to music systems requires evaluating both overall musical quality and text prompt alignment. This paper introduces WhisQ, a multimodal architecture that addresses this dual-assessment challenge through sequence level co-attention and optimal transport regularization. WhisQ employs the Whisper Base pretrained model for temporal audio encoding and Qwen 3, a 0.6B Small Language Model (SLM), for text encoding, with both maintaining sequence structure for…

30-Minute Quinoa Tabouli #plantbased

30-Minute Quinoa Tabouli
Give this gluten-free quinoa tabouli made in 30 minutes a try for a quick and easy lunch perfect for summer cooking.

Mediation Analysis for Sparse and Irregularly Spaced Longitudinal Outcomes with Application to the MrOS Sleep Study
Rui Ren, Haoyi Yang, Qian Xiao, Lingzhou Xue, Yuan Huang
https://arxiv.org/abs/2506.07953

Mediation Analysis for Sparse and Irregularly Spaced Longitudinal Outcomes with Application to the MrOS Sleep Study
Mediation analysis has become a widely used method for identifying the pathways through which an independent variable influences a dependent variable via intermediate mediators. However, limited research addresses the case where mediators are high-dimensional and the outcome is represented by sparse, irregularly spaced longitudinal data. To address these challenges, we propose a mediation analysis approach for scalar exposures, high-dimensional mediators, and sparse longitudinal outcomes. This …

Happy & Glorious: Coronation art exhibition goes on show https://www.nationalarchives.gov.uk/about/news/happy-glorious-coronation-art-exhibition-goes-on-show/

Happy & Glorious: Coronation art exhibition goes on show - The National Archives
Stunning new artwork commissioned by the Government Art Collection to mark the Coronation of Their Majesties King Charles III and Queen Camilla has gone on show in our Happy & Glorious exhibition. The free exhibition includes work by artists from across the UK created in response to the Coronation on 6 May 2023. For the […]

This https://arxiv.org/abs/2505.07263 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

Skywork-VL Reward: An Effective Reward Model for Multimodal Understanding and Reasoning
We propose Skywork-VL Reward, a multimodal reward model that provides reward signals for both multimodal understanding and reasoning tasks. Our technical approach comprises two key components: First, we construct a large-scale multimodal preference dataset that covers a wide range of tasks and scenarios, with responses collected from both standard vision-language models (VLMs) and advanced VLM reasoners. Second, we design a reward model architecture based on Qwen2.5-VL-7B-Instruct, integrating …

BEAST: Efficient Tokenization of B-Splines Encoded Action Sequences for Imitation Learning
Hongyi Zhou, Weiran Liao, Xi Huang, Yucheng Tang, Fabian Otto, Xiaogang Jia, Xinkai Jiang, Simon Hilber, Ge Li, Qian Wang, \"Omer Erdin\c{c} Ya\u{g}murlu, Nils Blank, Moritz Reuss, Rudolf Lioutikov
https://arxiv.org/abs/2506.06072

BEAST: Efficient Tokenization of B-Splines Encoded Action Sequences for Imitation Learning
We present the B-spline Encoded Action Sequence Tokenizer (BEAST), a novel action tokenizer that encodes action sequences into compact discrete or continuous tokens using B-splines. In contrast to existing action tokenizers based on vector quantization or byte pair encoding, BEAST requires no separate tokenizer training and consistently produces tokens of uniform length, enabling fast action sequence generation via parallel decoding. Leveraging our B-spline formulation, BEAST inherently ensures…

Runtime Analysis of Evolutionary NAS for Multiclass Classification
Zeqiong Lv, Chao Qian, Yun Liu, Jiahao Fan, Yanan Sun
https://arxiv.org/abs/2506.06019 h…

Runtime Analysis of Evolutionary NAS for Multiclass Classification
Evolutionary neural architecture search (ENAS) is a key part of evolutionary machine learning, which commonly utilizes evolutionary algorithms (EAs) to automatically design high-performing deep neural architectures. During past years, various ENAS methods have been proposed with exceptional performance. However, the theory research of ENAS is still in the infant. In this work, we step for the runtime analysis, which is an essential theory aspect of EAs, of ENAS upon multiclass classification pr…

Spatiotemporal coupled Airy-Airy wavepacket and its propagation dynamics
Zhaofeng Huang, Xiaolin Su, Qian Cao, Andy Chong, Qiwen Zhan
https://arxiv.org/abs/2506.05805

Spatiotemporal coupled Airy-Airy wavepacket and its propagation dynamics
Airy beams, celebrated for their self-acceleration, diffraction-free propagation, and self-healing properties, have garnered significant interest in optics and photonics, with applications spanning ultrafast optics, laser processing, nonlinear optics, and optical communications. Recent research primarily aims at independent control of Airy beams in both spatial and spatiotemporal domains. In a pioneering approach, we have successfully generated and controlled a spatiotemporal coupled (STc) Airy…

Digital Twin-based Smart Manufacturing: Dynamic Line Reconfiguration for Disturbance Handling
Bo Fu, Mingjie Bi, Shota Umeda, Takahiro Nakano, Youichi Nonaka, Quan Zhou, Takaharu Matsui, Dawn M. Tilbury, Kira Barton
https://arxiv.org/abs/2506.07332

Digital Twin-based Smart Manufacturing: Dynamic Line Reconfiguration for Disturbance Handling
The increasing complexity of modern manufacturing, coupled with demand fluctuation, supply chain uncertainties, and product customization, underscores the need for manufacturing systems that can flexibly update their configurations and swiftly adapt to disturbances. However, current research falls short in providing a holistic reconfigurable manufacturing framework that seamlessly monitors system disturbances, optimizes alternative line configurations based on machine capabilities, and automate…