Mapping the Nucleus: A Lattice QCD Approach to Structure Functions
![The analysis details five distinct Wick contractions-[latex]C_1C_{\hat{1}}, C_2C_{\hat{2}}, S_1S_{\hat{1}}[/latex] among others-that contribute to the four-point function in equation (9) when applied to baryons, with the specific mathematical form of these contractions dependent on the quark flavor of the involved currents.](https://arxiv.org/html/2602.22379v1/2602.22379v1/x1.png)
New calculations using lattice quantum chromodynamics and four-point correlation functions provide a direct path to understanding the internal structure of protons and neutrons.
Science
Mapping Community Structure in Complex Networks
A new self-supervised learning approach efficiently identifies communities within large-scale graphs, even in the presence of heterophily.
Geometric Harmony: Quantizing Particles in Curved Space
A new approach leverages the geometry of constant curvature spaces to elegantly reproduce quantum mechanical spectra.
Beyond Automated Citation: Reclaiming Interpretation with AI
New research suggests the power of large language models isn’t in replacing human analysis of academic sources, but in augmenting it.
Beyond Points: Mapping the Geometry of Quantum Spaces
This review explores how classical coarse geometric ideas can be generalized to noncommutative settings, providing a powerful toolkit for studying the large-scale structure of quantum metric spaces.
The Expanding Edge: Securing AI-Powered IoT Devices
As artificial intelligence moves closer to the source of data, the architecture of these deployments dramatically impacts the security of connected devices.
Beyond Single Chains: Building Blockchains That Adapt
![The system reveals how governance parameters-application preference [latex]\lambda_{app}[/latex], operator preference [latex]\lambda_{op}[/latex], and system preference [latex]\lambda_{sys}[/latex]-shape utility landscapes, peaking when a single preference dominates and smoothly trading off across the spectrum, suggesting inherent tensions in multiagent system design.](https://arxiv.org/html/2602.22230v1/2602.22230v1/plots/simplex_0.3_0.9.png)
A new framework uses intelligent resource allocation to optimize multichain blockchain infrastructures for improved scalability and performance.
When Density Isn’t Enough: Symmetry’s Role in Quantum Phase Prediction
![The study demonstrates that calculations of [latex]\cos(\gamma)[/latex] diverge between an interacting many-body state-obtained through DMRG-and a Kohn-Sham reference, as evidenced by the differing values represented by filled circles and open squares, with a value of one serving as a benchmark for comparison.](https://arxiv.org/html/2602.22578v1/2602.22578v1/x5.png)
New research reveals that the agreement between standard and advanced quantum simulations hinges on fundamental symmetries, not just accurate density matching.
Homomorphic Encryption Gets a GPU Boost
Researchers have designed a specialized GPU unit to dramatically accelerate fully homomorphic encryption, paving the way for more practical privacy-preserving computation.
Fortifying Edge AI Against Attack
![As the magnitude of [latex]\bm{\epsilon}[/latex] increases, perturbations grow progressively stronger when generating adversarial examples from a model encrypted with TT-SEAL, demonstrating the sensitivity of the system to input alterations.](https://arxiv.org/html/2602.22238v1/2602.22238v1/figures/examples.png)
A new selective encryption framework harnesses model compression to deliver both strong adversarial robustness and low latency for on-device intelligence.