Tootfinder

RiverEcho: Real-Time Interactive Digital System for Ancient Yellow River Culture
Haofeng Wang, Yilin Guo, Zehao Li, Tong Yue, Yizong Wang, Enci Zhang, Rongqun Lin, Feng Gao, Shiqi Wang, Siwei Ma
https://arxiv.org/abs/2506.21865

RiverEcho: Real-Time Interactive Digital System for Ancient Yellow River Culture
The Yellow River is China's mother river and a cradle of human civilization. The ancient Yellow River culture is, moreover, an indispensable part of human art history. To conserve and inherit the ancient Yellow River culture, we designed RiverEcho, a real-time interactive system that responds to voice queries using a large language model and a cultural knowledge dataset, delivering explanations through a talking-head digital human. Specifically, we built a knowledge database focused on the anci…

Private Continual Counting of Unbounded Streams
Ben Jacobsen, Kassem Fawaz
https://arxiv.org/abs/2506.15018 https://arxiv.org/pdf/250…

Private Continual Counting of Unbounded Streams
We study the problem of differentially private continual counting in the unbounded setting where the input size $n$ is not known in advance. Current state-of-the-art algorithms based on optimal instantiations of the matrix mechanism cannot be directly applied here because their privacy guarantees only hold when key parameters are tuned to $n$. Using the common `doubling trick' avoids knowledge of $n$ but leads to suboptimal and non-smooth error. We solve this problem by introducing novel matrix…

Research Knowledge Graphs: the Shifting Paradigm of Scholarly Information Representation
Matth\"aus Zloch, Danilo Dess\`i, Jennifer D'Souza, Leyla Jael Castro, Benjamin Zapilko, Saurav Karmakar, Brigitte Mathiak, Markus Stocker, Wolfgang Otto, S\"oren Auer, Stefan Dietze
https://arxiv.org/abs/2506.07285

Research Knowledge Graphs: the Shifting Paradigm of Scholarly Information Representation
Sharing and reusing research artifacts, such as datasets, publications, or methods is a fundamental part of scientific activity, where heterogeneity of resources and metadata and the common practice of capturing information in unstructured publications pose crucial challenges. Reproducibility of research and finding state-of-the-art methods or data have become increasingly challenging. In this context, the concept of Research Knowledge Graphs (RKGs) has emerged, aiming at providing an easy to u…

Do-PFN: In-Context Learning for Causal Effect Estimation
Jake Robertson, Arik Reuter, Siyuan Guo, Noah Hollmann, Frank Hutter, Bernhard Sch\"olkopf
https://arxiv.org/abs/2506.06039

Do-PFN: In-Context Learning for Causal Effect Estimation
Estimation of causal effects is critical to a range of scientific disciplines. Existing methods for this task either require interventional data, knowledge about the ground truth causal graph, or rely on assumptions such as unconfoundedness, restricting their applicability in real-world settings. In the domain of tabular machine learning, Prior-data fitted networks (PFNs) have achieved state-of-the-art predictive performance, having been pre-trained on synthetic data to solve tabular prediction…

Implicit Constraint-Aware Off-Policy Correction for Offline Reinforcement Learning
Ali Baheri
https://arxiv.org/abs/2506.14058 https://

Implicit Constraint-Aware Off-Policy Correction for Offline Reinforcement Learning
Offline reinforcement learning promises policy improvement from logged interaction data alone, yet state-of-the-art algorithms remain vulnerable to value over-estimation and to violations of domain knowledge such as monotonicity or smoothness. We introduce implicit constraint-aware off-policy correction, a framework that embeds structural priors directly inside every Bellman update. The key idea is to compose the optimal Bellman operator with a proximal projection on a convex constraint set, wh…

Modern approach to muonic x-ray spectroscopy demonstrated through the measurement of stable Cl radii
K. A. Beyer, T. E. Cocolios, C. Costache, M. Deseyn, P. Demol, A. Doinaki, O. Eizenberg, M. Gorshteyn, M. Heines, A. Herz\'a\v{n}, P. Indelicato, K. Kirch, A. Knecht, R. Lica, V. Matousek, E. A. Maugeri, B. Ohayon, N. S. Oreshkina, W. W. M. M. Phyo, R. Pohl, S. Rathi, W. Ryssens, A. Turturica, K. von Schoeler, I. A. Valuev, S. M. Vogiatzi, F. Wauters, A. Zendour

Modern approach to muonic x-ray spectroscopy demonstrated through the measurement of stable Cl radii
Recent advances in muonic x-ray experiments have reinvigorated efforts in measurements of absolute nuclear charge radii. Here, a modern approach is presented, and demonstrated through determination of the charge radii of the two stable chlorine nuclides $^{35}$Cl and $^{37}$Cl. Knowledge of these radii has implications for fundamental studies in nuclear and atomic physics. For this purpose, a state-of-the-art experiment was performed at the $π$E1 beamline in the Paul Scherrer Institute (Switze…