![The study maps the chiral phase diagram of Quantum Chromodynamics (QCD) using a novel framework-detailed by solid lines-and validates its findings against established benchmarks from miniDSE, functional Renormalization Group (fRG), and Dyson-Schwinger Equation (DSE) methods-represented by colored markers-for both [latex]2+1[/latex] and [latex]2+1+1[/latex] flavor configurations, including the incorporation of a charm loop to refine accuracy.](https://arxiv.org/html/2603.04728v1/2603.04728v1/x5.png)
New research reveals that incorporating charm quarks into calculations of quantum chromodynamics subtly alters the predicted location of the critical endpoint in the chiral phase diagram.
![The probability density at the point of bounce, [latex]|\psi(T_b,v)|^2[/latex], exhibits distinct variations across different values of η, while maintaining a minimal value of σ, and occurs at a significantly increased volume-approximately 2000-compared to prior configurations.](https://arxiv.org/html/2603.04995v1/2603.04995v1/BounceLargeVb_rho3.png)
New research applies loop quantum gravity to a simplified universe model, offering a potential pathway to resolving the singularity at the heart of gravitational collapse.
You’re free to focus on the main story and complete quests one after another, or explore the world and discover optional side stories. ‘A Tassel and a Tale’ is just one example of these smaller adventures, and completing them can lead to even more discoveries.
![Homomorphic encryption of sparse matrix-vector multiplication (SpMV) in compressed sparse row (CSR) format introduces substantial computational overhead, as each element-wise product, while achievable, necessitates a costly homomorphic rotation and multiplication for subsequent aggregation-a limitation stemming from the inability to efficiently combine encrypted partial results without incurring these operations on every addition required to construct the final encrypted vector sum [latex] \sum_{j=1}^{n} A_{ij} x_j [/latex].](https://arxiv.org/html/2603.04742v1/2603.04742v1/x1.png)
A new approach to privacy-preserving sparse matrix-vector multiplication unlocks significant performance gains using homomorphic encryption.
The fiat-pegged token economy, a grand ballet of dollar clones, expanded 0.88% this week as $2.742 billion flowed in, per the sacred texts of defillama.com. Tether ( USDT), that old titan of the trade, still hoards $183.93 billion in its vaults, growing a paltry 0.16% while its dominance slips below 60%-a humiliation! Its rivals, ever the comedians, now claim 58.76% of the $313.002 billion pie, as if the U.S. dollar itself were a stage for farce.
A new modification to the Fully Homomorphic Modified Rivest Scheme enhances security while preserving the ability to compute on encrypted data.
Many open-world games offer a huge amount of exploration, but simply having a lot to do doesn’t always make them engaging. While they often include numerous side quests and completionist goals, the core gameplay can sometimes feel repetitive.
A novel training approach enhances the robustness of quantized neural networks against bit errors, paving the way for more reliable deployment in resource-constrained environments.
Prediction markets, where people trade contracts about whether Biden will win or if it’ll rain next Tuesday, have become the new frontier for Kalshi and Polymarket. Their fundraising dreams? A $20 billion valuation each, because why not? The WSJ says it’s “early-stage,” which means it’s probably a lie wrapped in a PowerPoint.
/|\text{Baseline}-\text{Human}|[/latex]- achieved by large language models on the ASAP-SAS dataset; a transformer ensemble (point A, Ormerod, 2022) and a fine-tuned GPT ensemble (point B, Ormerod & Kwako, 2024) progressively surpass earlier baselines-with a subsequent GPT-4 implementation (point C, Jiang & Bosch, 2024) projected to reach a normalized score of -1.52-indicating a substantial, ongoing refinement in automated assessment capabilities.](https://arxiv.org/html/2603.04820v1/2603.04820v1/x1.png)
A comprehensive analysis reveals that current artificial intelligence systems struggle to accurately assess short-answer responses, exposing fundamental limitations in their understanding of meaning.