Tootfinder

🥳 New Kitten release!
Markdown and general renderer fixes.
Fixed:
• Nested Markdown sections rendering bug.
• Detection of components in Markdown where the opening tag spans multiple lines.
• Support for returning a component as a top-level object in a page.
• Slots in Markdown now work as they should (make sure you add them as block-level items, so with a leading and trailing empty line)
Enjoy!
:kitten: 💕

There’ve been articles all over lately, based on a single small (n=55) study that purports to show adverse effects of cannabis use by the elderly. Here’s some evidence to the contrary. A series of studies show improved working memory function with cannabis use for those over 65 years of age. Heading on down to the dispensary as soon as I post this toot. It’s science, friends.

The Benefits of Daily Cannabis for the Middle-Aged Brain
Even daily use of low-level cannabis does not have a negative impact on cognition in older adults, recent research finds.

A Compute-Matched Re-Evaluation of TroVE on MATH
Tobias Sesterhenn, Ian Berlot-Attwell, Janis Zenkner, Christian Bartelt
https://arxiv.org/abs/2507.22069 https://

A Compute-Matched Re-Evaluation of TroVE on MATH
Reusing established theorems and formulas is central to mathematical problem solving, serving as essential building blocks for tackling increasingly complex challenges. Recent work, TroVE, argues that code-generating Large Language Models (LLMs) can benefit similarly on the MATH benchmark by inducing and reusing higher-level toolboxes. By allocating computational budget across an ensemble of three modes -- directly generating code, creating tools, and reusing tools -- TroVE claims to outperform…

According to the folks at Messente, here are the top AI-crackable four digit PINs.
https://messente.com/blog/most-vulnerable-pins

It Takes 0.44 Seconds to Crack These PINs - Are You Using One?
The security level of 4-digit code remains uncertain. Our research found that it takes 0.44 seconds for AI to crack your PIN.

The Bulk Penetration of Edge Properties in Two-Dimensional Materials
Markus Kari, Pekka Koskinen
https://arxiv.org/abs/2506.21965 https://

The Bulk Penetration of Edge Properties in Two-Dimensional Materials
Edges are essential for the mechanical, chemical, electronic, and magnetic properties of two-dimensional (2D) materials. Research has shown that features assigned to edges are not strictly localized but often penetrate the bulk to some degree. However, mechanical edge properties, such as edge energies and stresses, are typically assigned at the system level, with spatial bulk penetrations that remain unknown. Here, we use density-functional tight-binding simulations to study how deep various ed…

💰 Supports multiple dimensions and quantization options - binary 512d version outperforms OpenAI-v3-large while reducing vector database costs by 99.48%
🔍 Processes entire documents in single pass to generate chunk embeddings enriched with document-level context
🎯 Less sensitive to chunking strategies compared to traditional context-agnostic embedding models

“Foundations: types of assistive technology and adaptive strategies”
https://tetralogical.com/blog/2025/07/28/foundations-types-of-assistive-technology-and-adaptive-strategies/
Very high level, so no inline examples …

Foundations: types of assistive technology and adaptive strategies - TetraLogical
This post provides an overview of common assistive technologies (AT) used by people with seeing, hearing, moving, and thinking disabilities. It also explains what adaptive strategies are, and how these approaches work together to support accessibility and inclusive experiences.

Fiducial observers and the thermal atmosphere in the black hole quantum throat
Thomas G. Mertens, Thomas Tappeiner, Bruno de S. L. Torres
https://arxiv.org/abs/2507.20983 https:…

Fiducial observers and the thermal atmosphere in the black hole quantum throat
We propose a construction of fiducial observers in the throat region of near-extremal black holes within the framework of JT quantum gravity, leading to a notion of local observers in a highly quantum regime of the gravitational field. The construction is based on an earlier proposal for light-ray anchoring to the asymptotic boundary and is uniquely fixed at the semiclassical level by demanding that the notion of time translations for an observer at the asymptotic boundary of JT gravity should …

An Image Noise Level Estimation Based on Tensor T-Product
Hanxin Liu, Yisheng Song
https://arxiv.org/abs/2507.20515 https://arxiv.org/pdf/2507.20515…

An Image Noise Level Estimation Based on Tensor T-Product
Currently, the noise level of color images is estimated by many algorithms through separate selection of each page of the third-order tensor using sliding blocks of size ${M_1} \times {M_1}$. The data structure of the tensor is disrupted by this method, leading to errors in the estimation results. In order not to disrupt the data structure of the tensor, we directly select the tensor using a sliding block of size ${M_1} \times {M_1} \times 3$ and then re-arrange it. The newly obtained tensor is…

This https://arxiv.org/abs/2505.09543 has been replaced.
initial toot: https://mastoxiv.page/@arXi…

Learned Free-Energy Functionals from Pair-Correlation Matching for Dynamical Density Functional Theory
Classical density functional theory (cDFT) and dynamical density functional theory (DDFT) are modern statistical mechanical theories for modeling many-body colloidal systems at the one-body density level. The theories hinge on knowing the excess free-energy accurately, which is however not feasible for most practical applications. Dijkman et al. [Phys. Rev. Lett. 134, 056103 (2025)] recently showed how a neural excess free-energy functional for cDFT can be learned from bulk simulations via pair…