This review examines the emerging field of agentic AI operating on blockchain networks, focusing on the standards and execution models needed to ensure safe and compliant transactions.
![The proposed unified framework analyzes the unpredictability of [latex] \mathbf{Exp}\_{\mathbf{\mathcal{PUF},\mathcal{A}}}^{Unpredict}(\mathrm{N}) [/latex], offering a means to quantify inherent system decay through the evaluation of physical unpredictable functions.](https://arxiv.org/html/2601.04697v1/x3.png)
A new probabilistic framework offers a rigorous, architecture-independent method for evaluating the resilience of Physical Unclonable Functions to increasingly sophisticated machine learning attacks.
A new approach combines the strengths of post-quantum cryptography and quantum key distribution to fortify biometric authentication in decentralized networks.
A new framework uses knowledge graphs and deontic logic to enable responsible data release during crises, ensuring compliance with privacy regulations while maximizing aid effectiveness.
![Through native-frames analysis of [latex]CO^{3+}_{2}[/latex] breakup following collisions with Argon projectiles, the study disentangles sequential dissociation - where [latex]CO^{2+}[/latex] forms initially before yielding [latex]C^{+}[/latex] and [latex]O^{+}[/latex] - from concerted events, utilizing kinetic energy release and angular distributions to reconstruct the full process and establishing a framework for distinguishing decay pathways in complex molecular fragmentation.](https://arxiv.org/html/2601.03711v1/x2.png)
New research demonstrates that the electronic structure of colliding ions plays a crucial role in determining how highly charged carbon dioxide molecules break apart.
A new benchmark assesses how well artificial intelligence systems can provide accurate and complete answers to critical questions during disaster events.
This research introduces a novel methodology for identifying security risks in containerized deployments within critical operational technology environments.
Researchers are exploring novel linear codes that optimize data recovery with minimal redundancy, pushing the boundaries of efficient information storage.
A new security primitive, the Human Challenge Oracle, aims to thwart automated attacks by demanding ongoing, real-time human effort for verification.
A new analysis reveals that while advanced reasoning skills are important, they don’t fully protect large language models from sophisticated adversarial attacks.