arXiv:2601.20039v1 Announce Type: new Abstract: We study the utility and limitations of using $k$-uniform hypergraphs $H = ([n], E)$ ($n ge mathrm{poly}(k)$) in the context of error reduction for randomized algorithms for decision problems with one- or two-sided error. Our error reduction idea is sampling a uniformly random hyperedge of $H$, and repeating the algorithm $k$ times using the hyperedge vertices as seeds. This is a general paradigm, which captures every pseudorandom method generating $k$ seeds without repetition. […]

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This article explores a conservative looping strategy on Fluid using USDe/USDT on Arbitrum. With ~8.9% APY and a liquidation buffer of ~12%, the strategy prioritizes liquidity and risk-adjusted returns over maximum yield. Break-even is reached after ~6–8 weeks. Assets Use reliable stablecoins from trusted issuers, where the probability of a depeg is very low. The final choice is always yours. Personally, I’d start with: USDC USDT USDe Later, this list of reliable stablecoins can be expanded. Fluid strategy: […]

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Technology is supercharging the attack on democracy by making it easier to spy on people, block free speech, and control what we do. The Electronic Frontier Foundation’s activists, lawyers, and technologists are fighting back. Join the movement to Take Back CTRL. DONATE TODAY Join EFF and Fight Back Take Back CTRL is EFF’s new website to give you insight into the ways that technology has become the veins and arteries of rising global authoritarianism. It’s not just because […]

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arXiv:2603.16932v1 Announce Type: new Abstract: Vision-language models (VLMs) typically process images at a native high-resolution, forcing a trade-off between accuracy and computational efficiency: high-resolution inputs capture fine details but incur significant computational costs, while low-resolution inputs advocate for efficiency, they potentially miss critical visual information, like small text. We present AwaRes, a spatial-on-demand framework that resolves this accuracy-efficiency trade-off by operating on a low-resolution global view and using tool-calling to retrieve only high-resolution segments needed for a given […]

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Effective IT change management is important for businesses that depend on software and services, particularly in highly regulated sectors such as finance, where operational reliability, auditability, and explainability are essential. A significant portion of IT incidents are caused by changes, making it important to identify high-risk changes before deployment. This study presents a predictive incident risk scoring approach at a large international bank. The approach supports engineers during the assessment and planning phases of change deployments by predicting […]

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arXiv:2602.03967v1 Announce Type: new Abstract: Principal Component Analysis (PCA) is a powerful and popular dimensionality reduction technique. However, due to its linear nature, it often fails to capture the complex underlying structure of real-world data. While Kernel PCA (kPCA) addresses non-linearity, it sacrifices interpretability and struggles with hyperparameter selection. In this paper, we propose a robust non-linear PCA framework that unifies the interpretability of PCA with the flexibility of neural networks. Our method parametrizes variable transformations via neural […]

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arXiv:2602.17848v1 Announce Type: new Abstract: Recent work has shown that larger language models have better predictive power for eye movement and reading time data. While even the best models under-allocate probability mass to human responses, larger models assign higher-quality estimates of next tokens and their likelihood of production in cloze data because they are less sensitive to lexical co-occurrence statistics while being better aligned semantically to human cloze responses. The results provide support for the claim that the […]

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arXiv:2601.03298v1 Announce Type: new Abstract: This is a brief description of a project that has already autoformalized a large portion of the general topology from the Munkres textbook (which has in total 241 pages in 7 chapters and 39 sections). The project has been running since November 21, 2025 and has as of January 4, 2026, produced 160k lines of formalized topology. Most of it (about 130k lines) have been done in two weeks,from December 22 to January […]

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