Tootfinder

Trump is recklessly shredding our economic advantages in the global economy.
Companies that are looking to make investments shouldn’t have to worry if Trump has cooked the books on economic data--but that’s exactly what’s happening following his decision.
-- Katie Porter

Firing of labor statistics head undermines trust in key data, ex-Trump official warns
President Trump is expected to nominate a new head of the Bureau of Labor Statistics this week, days after firing Commissioner Erika McEntarfer following the release of a disappointing jobs report. The president dismissed the data as “rigged” and “manipulated for political purposes.” Geoff Bennett discussed more with William Beach, the commissioner of labor statistics during the first Trump term.

DrugMCTS: a drug repurposing framework combining multi-agent, RAG and Monte Carlo Tree Search
Zerui Yang, Yuwei Wan, Yinqiao Li, Yudai Matsuda, Tong Xie, Linqi Song
https://arxiv.org/abs/2507.07426

DrugMCTS: a drug repurposing framework combining multi-agent, RAG and Monte Carlo Tree Search
Recent advances in large language models have demonstrated considerable potential in scientific domains such as drug discovery. However, their effectiveness remains constrained when reasoning extends beyond the knowledge acquired during pretraining. Conventional approaches, such as fine-tuning or retrieval-augmented generation, face limitations in either imposing high computational overhead or failing to fully exploit structured scientific data. To overcome these challenges, we propose DrugMCTS…

Water Demand Forecasting of District Metered Areas through Learned Consumer Representations
Adithya Ramachandran, Thorkil Flensmark B. Neergaard, Tom\'as Arias-Vergara, Andreas Maier, Siming Bayer
https://arxiv.org/abs/2509.07515

Water Demand Forecasting of District Metered Areas through Learned Consumer Representations
Advancements in smart metering technologies have significantly improved the ability to monitor and manage water utilities. In the context of increasing uncertainty due to climate change, securing water resources and supply has emerged as an urgent global issue with extensive socioeconomic ramifications. Hourly consumption data from end-users have yielded substantial insights for projecting demand across regions characterized by diverse consumption patterns. Nevertheless, the prediction of water…

Interleaving Reasoning for Better Text-to-Image Generation
Wenxuan Huang, Shuang Chen, Zheyong Xie, Shaosheng Cao, Shixiang Tang, Yufan Shen, Qingyu Yin, Wenbo Hu, Xiaoman Wang, Yuntian Tang, Junbo Qiao, Yue Guo, Yao Hu, Zhenfei Yin, Philip Torr, Yu Cheng, Wanli Ouyang, Shaohui Lin
https://arxiv.org/abs/2509.06945

Interleaving Reasoning for Better Text-to-Image Generation
Unified multimodal understanding and generation models recently have achieve significant improvement in image generation capability, yet a large gap remains in instruction following and detail preservation compared to systems that tightly couple comprehension with generation such as GPT-4o. Motivated by recent advances in interleaving reasoning, we explore whether such reasoning can further improve Text-to-Image (T2I) generation. We introduce Interleaving Reasoning Generation (IRG), a framework…

On the Parallel Complexity of Identifying Groups and Quasigroups via Decompositions
Dan Johnson, Michael Levet, Petr Vojt\v{e}chovsk\'y, Brett Widholm
https://arxiv.org/abs/2508.06478

On the Parallel Complexity of Identifying Groups and Quasigroups via Decompositions
In this paper, we investigate the computational complexity of isomorphism testing for finite groups and quasigroups, given by their multiplication tables. We crucially take advantage of their various decompositions to show the following: - We first consider the class $\mathcal{C}$ of groups that admit direct product decompositions, where each indecompsable factor is $O(1)$-generated, and either perfect or centerless. We show any group in $\mathcal{C}$ is identified by the $O(1)$-dimensional c…

Origin of persistent photoconductivity in surface conducting hydrogenated diamond films
N. Mohasin Sulthana, K. Ganesan, P. K. Ajikumar
https://arxiv.org/abs/2507.06559

Origin of persistent photoconductivity in surface conducting hydrogenated diamond films
The p-type surface conductivity of hydrogen-terminated diamond (HD) has opened up new possibilities for the development of diamond-based electronic devices. However, the origin of the persistent photoconductivity (PPC) observed in surface-conducting HD remains unclear, an understanding that is crucial for advancing HD-based optoelectronic technologies. In this study, we investigate the underlying mechanism of PPC in surface-conducting HD films. A systematic analysis was performed by tuning the …

Probabilistic thresholds of turbulence decay in transitional shear flows
Daniel Mor\'on, Alberto Vela-Mart\'in, Marc Avila
https://arxiv.org/abs/2507.06918

Probabilistic thresholds of turbulence decay in transitional shear flows
Linearly stable shear flows first transition to turbulence in the form of localised patches. At low Reynolds numbers, these turbulent patches tend to suddenly decay, following a memoryless process typical of rare events. How far in advance their decay can be forecasted is still unknown. We perform massive ensembles of simulations of pipe flow and a reduced order model of shear flows (Moehlis et al. 2004) and determine the first moment in time at which decay becomes fully predictable, subject to…

I haven’t added an example of how you implement migrations with Kitten’s¹ built-in JSDB database² yet but here’s one that I just used when renaming a field (property) in a table (JavaScript object) from “account” to “data” that illustrates the general granular approach you should take within persisted instances of JavaScript classes.
This is, of course, an advanced use case of the built-in JavaScript database that all Kitten apps have.
Kitten is simple for simple use cases. So ch…

A Neuralink Blindsight brain implant to restore vision to people born blind? Unfounded nonsense! Tech savvy congenitally blind people know: there are non-invasive alternatives https://nimerblogs.blogspot.com/2025/09/seeing-with-sound-my-adventures-in.html…

Taming Data Challenges in ML-based Security Tasks: Lessons from Integrating Generative AI
Shravya Kanchi, Neal Mangaokar, Aravind Cheruvu, Sifat Muhammad Abdullah, Shirin Nilizadeh, Atul Prakash, Bimal Viswanath
https://arxiv.org/abs/2507.06092

Taming Data Challenges in ML-based Security Tasks: Lessons from Integrating Generative AI
Machine learning-based supervised classifiers are widely used for security tasks, and their improvement has been largely focused on algorithmic advancements. We argue that data challenges that negatively impact the performance of these classifiers have received limited attention. We address the following research question: Can developments in Generative AI (GenAI) address these data challenges and improve classifier performance? We propose augmenting training datasets with synthetic data genera…