Shielding Regression from Bad Data: A Robustness Analysis
New research demonstrates how Interval CVaR-based regression models can maintain accuracy even when faced with noisy or corrupted datasets.
Science
Beyond SCAN: Untangling Self-Interaction Errors in Chemical Reactions
![The study reveals how subtle changes in spectator, participant, and stretched bond orbital energies-specifically the [latex]E^{SIC}[n\_{i}][/latex]-along reaction pathways connecting reactants, transition states, and products, directly correlate with the magnitude of the SIC correction to forward and reverse reaction barriers.](https://arxiv.org/html/2601.11454v1/x1.png)
A new analysis reveals the persistent impact of self-interaction errors on the accuracy of density functional theory calculations for reaction barriers, even with modern functionals like SCAN.
Smarter Caching for Extended AI Conversations
A new system intelligently manages memory to accelerate long-form AI interactions and reduce response times.
Hidden Costs of Helpful AI: How Agents Can Be Exploited for Resource Drain
New research reveals a subtle attack vector where AI agents, designed to leverage external tools, can be tricked into endlessly looping interactions, silently consuming significant computing resources.
Beyond AI Detection: Safeguarding Academic Integrity with Embedded Watermarks
A new system embeds schema-aware watermarks directly into assessment documents to proactively deter AI-assisted cheating and establish clear authorship signals.
Stress-Testing AI Agents: A New Approach to Security
Researchers have developed an adaptive architecture for systematically evaluating and improving the safety of complex AI agents against adversarial attacks.
Taming QCD: Improving Precision in Hadronic Tau Decay Analysis
![The study precisely determines [latex]\delta(0)[/latex] within Quantum Chromodynamics (QCD) through higher-order coefficient analysis, demonstrating that perturbative expansions-with uncertainties represented by shaded regions-converge towards a mean value-defined by the Shanks sum-while variations across different resummation techniques, visualized as yellow bands, quantify the inherent spread around this central prediction, all calculated using [latex]\alpha_s = 0.31959[/latex].](https://arxiv.org/html/2601.11277v1/x1.png)
Researchers are leveraging advanced mathematical techniques to refine calculations of hadronic tau decays, a crucial process for pinpointing the strength of the strong force.
Kondo Resilience: How Interactions Salvage Quantum Effects in One Dimension
![Yb atoms exhibit Kondo physics through a carefully engineered system where fermionic atoms in spin-1/2 states are selectively trapped - mobile in a ground band and localized in an excited band - creating an impurity interacting with a surrounding fermionic environment via both antiferromagnetic and potential interactions, effectively modeling [latex]Eq. (1)[/latex] and demonstrating how these interactions draw atoms either towards or away from the impurity site, as visualized by the wavefunction modulus.](https://arxiv.org/html/2601.11449v1/x1.png)
New research reveals that the Kondo effect, a hallmark of quantum impurity problems, can persist in one-dimensional systems even with strong scattering, thanks to the crucial role of environmental correlations.
Verifying Hardware Secrets: A Zero-Knowledge Approach
New research demonstrates how zero-knowledge proofs can establish trust in hardware components without revealing sensitive design details.
Building Trust into Chiplet Systems
A new framework embeds security directly within the interposer layer, enabling distributed authentication for complex, multi-chip packages.