Tootfinder

Towards an AI-Augmented Textbook
LearnLM Team, Google, :, Amy Wang, Anna Iurchenko, Anisha Choudhury, Alicia Mart\'in, Amir Globerson, Avinatan Hassidim, Ay\c{c}a \c{C}akmakli, Ayelet Shasha Evron, Charlie Yang, Courtney Heldreth, Diana Akrong, Gal Elidan, Hairong Mu, Ian Li, Ido Cohen, Katherine Chou, Komal Singh, Lev Borovoi, Lidan Hackmon, Lior Belinsky, Michael Fink, Niv Efron, Preeti Singh, Rena Levitt, Shashank Agarwal, Shay Sharon, Tracey Lee-Joe, Xiaohong Hao, Yael Gold-Z…

Towards an AI-Augmented Textbook
Textbooks are a cornerstone of education, but they have a fundamental limitation: they are a one-size-fits-all medium. Any new material or alternative representation requires arduous human effort, so that textbooks cannot be adapted in a scalable manner. We present an approach for transforming and augmenting textbooks using generative AI, adding layers of multiple representations and personalization while maintaining content integrity and quality. We refer to the system built with this approach…

Detector-based measurement-induced state updates in AdS/CFT
Vijay Balasubramanian, Esko Keski-Vakkuri, Nicola Pranzini
https://arxiv.org/abs/2509.13457 https://

Detector-based measurement-induced state updates in AdS/CFT
Conventional understandings of quantum theory hold that measurements change the state of an observed system following the Lüders update rule. Textbooks describe the application of this idea to non-relativistic systems, but extensions to relativistic and gravitating systems encounter subtleties. One consistent approach is via detector-based measurements. We study the effects of such measurements in a CFT with a holographic dual. We work out the boundary space-time regions associated to a Lüder…

Statistical methods: Basic concepts, interpretations, and cautions
Sander Greenland
https://arxiv.org/abs/2508.10168 https://arxiv.org/pdf/2508.10168

Statistical methods: Basic concepts, interpretations, and cautions
The study of associations and their causal explanations is a central research activity whose methodology varies tremendously across fields. Even within specialized subfields, comparisons across textbooks and journals reveals that the basics are subject to considerable variation and controversy. This variation is often obscured by the singular viewpoints presented within textbooks and journal guidelines, which may be deceptively written as if the norms they adopt are unchallenged. Furthermore, h…

AnalogSeeker: An Open-source Foundation Language Model for Analog Circuit Design
Zihao Chen, Ji Zhuang, Jinyi Shen, Xiaoyue Ke, Xinyi Yang, Mingjie Zhou, Zhuoyao Du, Xu Yan, Zhouyang Wu, Zhenyu Xu, Jiangli Huang, Li Shang, Xuan Zeng, Fan Yang
https://arxiv.org/abs/2508.10409

AnalogSeeker: An Open-source Foundation Language Model for Analog Circuit Design
In this paper, we propose AnalogSeeker, an effort toward an open-source foundation language model for analog circuit design, with the aim of integrating domain knowledge and giving design assistance. To overcome the scarcity of data in this field, we employ a corpus collection strategy based on the domain knowledge framework of analog circuits. High-quality, accessible textbooks across relevant subfields are systematically curated and cleaned into a textual domain corpus. To address the complex…

HiPS: Hierarchical PDF Segmentation of Textbooks
Sabine Wehnert, Harikrishnan Changaramkulath, Ernesto William De Luca
https://arxiv.org/abs/2509.00909 https://

HiPS: Hierarchical PDF Segmentation of Textbooks
The growing demand for effective tools to parse PDF-formatted texts, particularly structured documents such as textbooks, reveals the limitations of current methods developed mainly for research paper segmentation. This work addresses the challenge of hierarchical segmentation in complex structured documents, with a focus on legal textbooks that contain layered knowledge essential for interpreting and applying legal norms. We examine a Table of Contents (TOC)-based technique and approaches that…

I just discovered #sioyek, a very fast and simple cross-platform PDF viewer that is designed around reading books or scientific papers. I auto-reloads when the file changes, so is well-suited for a #latexmk workflow. Reloading is quasi-instant and also doesn't redraw everything with this dreaded flic…

GitHub - ahrm/sioyek: Sioyek is a PDF viewer with a focus on textbooks and research papers
Sioyek is a PDF viewer with a focus on textbooks and research papers - ahrm/sioyek

A Comprehensive Comparison of the Wald, Wilson, and adjusted Wilson Confidence Intervals for Proportions
Nabil Kahouadji
https://arxiv.org/abs/2508.10223 https://

A Comprehensive Comparison of the Wald, Wilson, and adjusted Wilson Confidence Intervals for Proportions
The standard confidence interval for a population proportion covered in the overwhelming majority of introductory and intermediate statistics textbooks surprisingly remains the Wald confidence interval despite having a poor coverage probability, especially for small sample sizes or when the unknown population proportion is close to either 0 or 1. Using the mean coverage probability, and for some sample sizes, Agresti and Coull showed not only that the 95\% Wilson confidence interval performs be…

« Adult human cortex does not reorganize after amputation » (and certainly also for other species). So, do not trust textbooks (or LLMs that statistically parameterize those). #brain #plasticity #neuroscience

Adult human cortex does not reorganize after amputation
The results from a new longitudinal study contradict classic findings in monkeys but may not warrant a rewriting of the textbooks just yet.

Unlocking Mixed Reality for Medical Education: A See-Through Perspective on Head Anatomy
Yuqing Wei, Yupeng Wang, Jiayi Zhao, Yanjun Liu, Huxin Gao, Jiewen Lai
https://arxiv.org/abs/2509.00352

Unlocking Mixed Reality for Medical Education: A See-Through Perspective on Head Anatomy
Extended reality (XR), encompassing Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR), is emerging as a transformative platform for medical education. Traditional methods such as textbooks, physical models, and cadaveric dissections often lack interactivity and fail to convey complex spatial relationships effectively. The emerging MR technology addresses these limitations by providing immersive environments that blend virtual elements with real-world contexts. This study pres…

Short-Term Gains, Long-Term Gaps: The Impact of GenAI and Search Technologies on Retention
Mahir Akgun, Sacip Toker
https://arxiv.org/abs/2507.07357 https:…

Short-Term Gains, Long-Term Gaps: The Impact of GenAI and Search Technologies on Retention
The rise of Generative AI (GenAI) tools, such as ChatGPT, has transformed how students access and engage with information, raising questions about their impact on learning outcomes and retention. This study investigates how GenAI (ChatGPT), search engines (Google), and e-textbooks influence student performance across tasks of varying cognitive complexity, based on Bloom's Taxonomy. Using a sample of 123 students, we examined performance in three tasks: [1] knowing and understanding, [2] applyin…

Vector embedding of multi-modal texts: a tool for discovery?
Beth Plale, Sai Navya Jyesta, Sachith Withana
https://arxiv.org/abs/2509.08216 https://arxiv.o…

Vector embedding of multi-modal texts: a tool for discovery?
Computer science texts are particularly rich in both narrative content and illustrative charts, algorithms, images, annotated diagrams, etc. This study explores the extent to which vector-based multimodal retrieval, powered by vision-language models (VLMs), can improve discovery across multi-modal (text and images) content. Using over 3,600 digitized textbook pages largely from computer science textbooks and a Vision Language Model (VLM), we generate multi-vector representations capturing both …

Weighted Hartree-Fock-Bogoliubov method for interacting fermions: An application to ultracold Fermi superfluids
Nikolai Kaschewski, Axel Pelster, Carlos A. R. S\'a de Melo
https://arxiv.org/abs/2508.18801

Weighted Hartree-Fock-Bogoliubov method for interacting fermions: An application to ultracold Fermi superfluids
For several decades it has been known that divergences arise in the ground-state energy and chemical potential of unitary superfluids, where the scattering length diverges, due to particle-hole scattering. Leading textbooks and research articles recognize that there are serious issues but ignore them due to the lack of an approach that can regularize these divergences. We find a solution to this difficulty by proposing a general method, called the weighted Hartree-Fock-Bogoliubov theory, to han…

A Selection of Distributions and Their Fourier Transforms with Applications in Magnetic Resonance Imaging
Kaibo Tang
https://arxiv.org/abs/2506.18638 https…

A Selection of Distributions and Their Fourier Transforms with Applications in Magnetic Resonance Imaging
This note presents a rigorous introduction to a selection of distributions along with their Fourier transforms, which are commonly encountered in signal processing and, in particular, magnetic resonance imaging (MRI). In contrast to many textbooks on the principles of MRI, which place more emphasis on the signal processing aspect, this note will take a more mathematical approach. In particular, we will make explicit the underlying topological space of interest and clarify the exact sense in whi…

In "Mathematica" David Bessis writes:
"While the official knowledge has been transcribed in textbooks the secret art of mathematicians has remained an oral tradition passed down from generation to generation. It reveals what no one dares write down in books because it doesn't seem serious enough, because it's not science, and because it resembles self-improvement too much."
I'm thinking about LRMs doing math research.
Why are they good at it (sometimes) and will they keep improving?
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