Beyond Endpoint: A New Lens for Graph Query Semantics
This review establishes a formal framework for understanding and comparing the diverse semantics used in Regular Path Queries, moving beyond traditional approaches to graph database queries.
Science
Cosmic Collisions: Unpacking Particle Production in Proton-Oxygen Impacts
![The study examines charged particle production in proton-oxygen collisions across a range of center-of-mass energies ([latex]\sqrt{s} = 2.36, 5.02, 9.62, 13.0 \text{ TeV}[/latex]) and pseudorapidities ([latex]\eta < 0.5, 1.0, 2.0, 3.0[/latex]), demonstrating how different factorization schemes-collinear and [latex]k_T[/latex]-influence the observed multiplicity distributions and requiring visualization adjustments via scaling factors of [latex]10^{-m}[/latex] to reveal subtle differences.](https://arxiv.org/html/2602.11452v1/x13.png)
New research delves into the fundamental patterns of particle creation when protons collide with oxygen nuclei at high energies.
Decoding eBPF: A New Lens on Network Function Security
Researchers have developed a system to analyze the behavior of eBPF-based network functions, offering a way to understand and verify code without revealing its underlying source.
Dark States Illuminate Brighter Single-Photon Sources
![Individual quantum dots exhibiting single-photon blinking at room temperature demonstrate distinct photoluminescence parameters-characterized by varied decay curves and second-order correlation functions [latex]g^{(2)}(\tau)[/latex]-across bright, intermediate, and dark states, revealing a correlation between average lifetime and blinking behavior across a population of nine dots.](https://arxiv.org/html/2602.11385v1/Figure3_21012026.jpeg)
New research reveals a counterintuitive mechanism in perovskite nanocrystals where temporary emission suppression actually enhances the purity of single photons.
Taming the Infinite: A New Approach to Scalar Field Theory
Researchers have developed a systematic method for calculating effective potentials in complex, non-renormalizable scalar field theories, offering improved control over potentially infinite results.
When AI Summaries Lose Context: The Hidden Cost of Compression
A new study reveals how compressing information for retrieval-augmented generation can lead to critical context loss, impacting the quality of AI-powered summaries and responses.
Untangling Quaternion Tensors: A New Approach to Matrix Decomposition
This research unveils a method for efficiently decomposing quaternion tensor matrices, opening doors to streamlined computations in fields like video processing and regularization techniques.
Golden Stability: Unlocking the Secrets of an Unusual Gold Compound
A new theoretical study reveals how the rare Au²⁺ oxidation state is stabilized within the unique crystal structure of Cs₄Au₃Cl₁₂.
Decoding the Cracks: How to Spot When an AI is Being Manipulated
![The method dissects input prompts via [latex]CP[/latex] decomposition to isolate latent factors indicative of adversarial manipulation, then projects new inputs onto these factors to predict layer-wise vulnerability, ultimately bypassing susceptible layers and effectively neutralizing jailbreak attempts.](https://arxiv.org/html/2602.11495v1/x1.png)
New research reveals that subtle changes within a large language model’s internal processing can expose attempts to bypass its safety protocols.
Quantile Regression Gets a Vector Boost
A new duality theory extends quantile regression to handle vector-valued responses, offering a powerful approach to modeling complex data.