Tootfinder

Die Manege fordert von unseren jungen Ausnahmeknstler:innen But, Schweiß und Trännen. Dem Schweiß können wir entgegenwirken, die Lüftung wurde hochgedreht und die Temperatur im Zelt fällt auf angenehme Wohlfühltemperatur. #dem25 ^mr

Nvidia-Chef Jensen Huang trifft Bundeskanzler
Im Rahmen einer ausgedehnten Europatour plant Huang auch ein Gespräch mit Friedrich Merz. Es dürfte um europäische KI-Rechenzentren gehen.
https://www.

C.J. Gardner-Johnson injury update: Texans' safety ACL intact with further tests ongoing, per report

https://www.cbssports.com/nfl/news/c-j-gar

Accelerating Large-Scale Regularized High-Order Tensor Recovery
Wenjin Qin, Hailin Wang, Jingyao Hou, Jianjun Wang
https://arxiv.org/abs/2506.09594 https:/…

Accelerating Large-Scale Regularized High-Order Tensor Recovery
Currently, existing tensor recovery methods fail to recognize the impact of tensor scale variations on their structural characteristics. Furthermore, existing studies face prohibitive computational costs when dealing with large-scale high-order tensor data. To alleviate these issue, assisted by the Krylov subspace iteration, block Lanczos bidiagonalization process, and random projection strategies, this article first devises two fast and accurate randomized algorithms for low-rank tensor approx…

"There is no reason to believe [rent controls] have any effect on new housing construction. One could go a step further: economically, land use reforms and stronger rent regulations should go together."
https://jwmason.org/slackwire/can-zohran-do-it/

SHIELDA: Structured Handling of Exceptions in LLM-Driven Agentic Workflows
Jingwen Zhou, Jieshan Chen, Qinghua Lu, Dehai Zhao, Liming Zhu
https://arxiv.org/abs/2508.07935 https:…

SHIELDA: Structured Handling of Exceptions in LLM-Driven Agentic Workflows
Large Language Model (LLM) agentic systems are software systems powered by LLMs that autonomously reason, plan, and execute multi-step workflows to achieve human goals, rather than merely executing predefined steps. During execution, these workflows frequently encounter exceptions. Existing exception handling solutions often treat exceptions superficially, failing to trace execution-phase exceptions to their reasoning-phase root causes. Furthermore, their recovery logic is brittle, lacking stru…

Composition laws of binary quadratic forms and isolations of quadratic forms
Jangwon Ju, Daejun Kim, Kyoungmin Kim, Mingyu Kim, Byeong-Kweon Oh
https://arxiv.org/abs/2508.07916 …

Composition laws of binary quadratic forms and isolations of quadratic forms
A positive definite and integral quadratic form $f$ is called irrecoverable if there is a quadratic form $F$ such that it represents all proper subforms of $f$, whereas it does not represent $f$ itself. In this case, $F$ is called an isolation of $f$. In this article, we prove that there does not exist a binary isolation of any unary quadratic form. We also prove that there does not exist a ternary isolation of any binary quadratic form. Furthermore, if the form class group of a primitive binar…

Perfect state transfer in Grover walks on association schemes and distance-regular graphs
Koushik Bhakta, Bikash Bhattacharjya
https://arxiv.org/abs/2506.07439

Perfect state transfer in Grover walks on association schemes and distance-regular graphs
This paper investigates perfect state transfer in Grover walks, a model of discrete-time quantum walks. We establish a necessary and sufficient condition for the occurrence of perfect state transfer on graphs belonging to an association scheme. Our focus includes specific association schemes, namely the Hamming and Johnson schemes. We characterize all graphs on the classes of Hamming and Johnson schemes that exhibit perfect state transfer. Furthermore, we study perfect state transfer on distanc…

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation
Qilong Xing, Zikai Song, Youjia Zhang, Na Feng, Junqing Yu, Wei Yang
https://arxiv.org/abs/2507.06992

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation
Despite significant advancements in adapting Large Language Models (LLMs) for radiology report generation (RRG), clinical adoption remains challenging due to difficulties in accurately mapping pathological and anatomical features to their corresponding text descriptions. Additionally, semantic agnostic feature extraction further hampers the generation of accurate diagnostic reports. To address these challenges, we introduce Medical Concept Aligned Radiology Report Generation (MCA-RG), a knowled…

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection
Yuli Wang, Victoria R. Shi, Liwei Zhou, Richard Chin, Yuwei Dai, Yuanyun Hu, Cheng-Yi Li, Haoyue Guan, Jiashu Cheng, Yu Sun, Cheng Ting Lin, Ihab Kamel, Premal Trivedi, Pamela Johnson, John Eng, Harrison Bai
https://arxiv.org/abs/2507.06937

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection
Critical retained foreign objects (RFOs), including surgical instruments like sponges and needles, pose serious patient safety risks and carry significant financial and legal implications for healthcare institutions. Detecting critical RFOs using artificial intelligence remains challenging due to their rarity and the limited availability of chest X-ray datasets that specifically feature critical RFOs cases. Existing datasets only contain non-critical RFOs, like necklace or zipper, further limit…