technocracy

arXiv:2603.28802v1 Announce Type: new Abstract: Systematic reviews provide comprehensive syntheses of research fields. As a result, systematic reviews often emphasize synthesizing across the large bodies of literature rather than just describing the studies from which the conclusions were drawn. This risks an incomplete description of the sample – encouraging overgeneralization of the findings, obscuring connections between existing work, or overshadowing gaps in the literature. To address this challenge, we introduce interactive evidence maps; an accessible visualization tool that […]

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arXiv:2602.23457v1 Announce Type: new Abstract: Soft robots enable safe, adaptive interaction with complex environments but remain difficult to sense and control due to their highly deformable structures. Architected soft materials such as helicoid lattices offer tunable stiffness and strength but are challenging to instrument because of their sparse geometry. We introduce a fabrication method for embedding air channels into helicoid-based soft continuum robots. Multi-material segments fabricated via vision-controlled jetting in a single print interface with PCBs housing miniature […]

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Documentation culture is about behavioral traits that technical writers practice every day based on set of beliefs and organizational values. Introduction A documentation culture reflects the behavioral traits practiced by everyone guided by shared beliefs and organizational values where writing is treated as a core part of their job role. Organization with strong documentation culture embeds writing into their cultural DNA whereby knowledge is captured, documented and more importantly leveraged. The defining characteristic of such a culture is […]

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Obesity represents a significant public health concern, attributable to its high preva-lence and its association with cardiometabolic comorbidities. This study compared a set of ensemble learning models—including canonical ensembles, meta-ensembles, and base-lines for tabular data—in a multiclass obesity status prediction task using the “Obesity Dataset” (n = 1,610; 14 predictors; 4 classes). To ensure methodological rigor, a pipeline was implemented using ColumnTransformer, standardization, one-hot encoding, and re-balancing via SMOTENC applied exclusively to the training folds, thereby preventing data […]

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arXiv:2601.22307v1 Announce Type: new Abstract: We study the problem of propagating the mean and covariance of a general multivariate Gaussian distribution through a deep (residual) neural network using layer-by-layer moment matching. We close a longstanding gap by deriving exact moment matching for the probit, GeLU, ReLU (as a limit of GeLU), Heaviside (as a limit of probit), and sine activation functions; for both feedforward and generalized residual layers. On random networks, we find orders-of-magnitude improvements in the KL […]

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arXiv:2508.04818v2 Announce Type: replace-cross Abstract: Generative models have demonstrated significant success in anomaly detection and segmentation over the past decade. Recently, diffusion models have emerged as a powerful alternative, outperforming previous approaches such as GANs and VAEs. In typical diffusion-based anomaly detection, a model is trained on normal data, and during inference, anomalous images are perturbed to a predefined intermediate step in the forward diffusion process. The corresponding normal image is then reconstructed through iterative reverse sampling. However, […]

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As cryptocurrency adoption accelerates globally, the gap between traditional finance and Web3 remains one of the industry’s most persistent challenges. While blockchain infrastructure has matured dramatically, the simple act of converting fiat to crypto and back continues to create friction for millions of users and businesses. Ramp Network has spent eight years addressing this fundamental problem, building the financial pipes that connect 150+ countries to the crypto economy. In this interview, we sit down with Przemek Kowalczyk, co-founder […]

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arXiv:2604.15366v1 Announce Type: new Abstract: Adding citations while drafting in LaTeX often requires leaving the editor, searching for a paper in mind, copying its BibTeX entry into the project bibliography, renaming the cite key, and then returning to the sentence. texttt{OverCite} is an open-source, lightweight tool that lets authors find, select, and insert citations without leaving the writing environment. In Overleaf, texttt{OverCite} uses rough citation placeholders (e.g., $texttt{textbackslash citep{Perlmutter1999}}$) and local sentence context to query ADS/SciX-indexed literature, rank […]

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arXiv:2604.03015v1 Announce Type: cross Abstract: Given $n$ independent samples from a $d$-dimensional probability distribution, our aim is to generate diffusion-based samples from a distribution obtained by tilting the original, where the degree of tilt is parametrized by $theta in mathbb{R}^d$. We define a plug-in estimator and show that it is minimax-optimal. We develop Wasserstein bounds between the distribution of the plug-in estimator and the true distribution as a function of $n$ and $theta$, illustrating regimes where the output […]

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