A new analysis of quartic interactions within the light-cone gauge reveals fundamental limitations and potential avenues for constructing consistent theories of massless spinning fields.
![The example demonstrates how a basic lookup table, specifically a BFLUT as detailed in reference [5], can yield valuable data.](https://arxiv.org/html/2602.13167v1/BFLUT.png)
A new approach to database design leverages bloom filters to enhance privacy and security for Web3 applications.
![Confidence-aware generation ([latex]CARG[/latex]) consistently stabilizes performance across standard large language models, yet fails to benefit-and sometimes diminishes the accuracy of-models demonstrating substantial reasoning capabilities.](https://arxiv.org/html/2602.13093v1/x2.png)
New research reveals that while large reasoning models demonstrate improved consistency, they remain surprisingly vulnerable to subtle manipulation in extended conversations.
New research provides a mathematically proven method for training multi-agent systems to make stable, risk-aware decisions in complex environments.
A new benchmark assesses how well spoken query retrieval systems perform in real-world acoustic conditions, moving beyond ideal lab settings.
This review explores the essential cryptographic techniques that guarantee both the privacy of voters and the integrity of electronic elections.
New research shows how to effectively remove specific information from large language models even after they’ve been compressed for efficient deployment.
A new formal language, CryptoChoreo, enables rigorous modeling and automated verification of complex, stateful cryptographic protocols.
A new iterative method intelligently filters out unreliable data, accelerating and improving the robustness of solutions for linear equations affected by noise and errors.
A new computational method efficiently tackles the complex problem of calculating electronic correlation energies in large, complex materials.