Stitching Together the Invisible: High-Resolution Imaging Across the Whole Slide
A new algorithm overcomes reconstruction artifacts in digital holographic microscopy, enabling accurate quantitative phase imaging of large tissue samples.
Science
Who Knows Your Data? The Limits of Privacy Attacks on Tables
A new review reveals that determining if a specific record was used to train a model from tabular data is surprisingly difficult, despite growing concerns about data privacy.
Knowing When to Trust the Algorithm
A new system, Lattice, improves sequential prediction by intelligently blending learned patterns with established baselines, and quantifying its own uncertainty.
Valley to Phase: Engineering Zero-Field Hall States
New research explores how manipulating the band structure of IV-VI semiconductor quantum wells can unlock the Quantum Anomalous Hall Effect without the need for external magnetic fields.
Seeing Earth with a New Model
A new foundation model, THOR, promises to unlock greater insights from diverse Earth observation data, offering improved efficiency and adaptability for climate and societal applications.
Mapping the Quark Landscape at Extreme Densities
![The distribution of spins within a three-state Potts model, subjected to coarse-graining via the diffusion equation with [latex]D_t/a^2 = 0.5[/latex], demonstrates a clear phase transition: at [latex]\beta = 0.30[/latex] the system remains symmetric, while at [latex]\beta = 0.40[/latex] it enters a broken phase, indicating the sensitivity of spin configurations to subtle changes in system parameters.](https://arxiv.org/html/2601.15720v1/figs/diffusion50b040l32.png)
New research utilizes a simplified model to chart the complex phase transitions of quark matter under conditions found in neutron stars and heavy ion collisions.
When AI Gets the Basics Wrong: The Limits of Language Model Reliability
)))))[/latex] as a valid sequence.](https://arxiv.org/html/2601.15714v1/imgs/chatgpt.png)
New research reveals that even the most advanced language models struggle with fundamental tasks, highlighting a critical need for more robust evaluation metrics.
Dark Forces, Chiral Walls: Exploring a New QCD Transition
![The system explores domain-wall profiles within a [latex]Z(3)[/latex] symmetry, demonstrating how chiral backreaction influences their structure and evolution as a natural consequence of the system’s inherent decay.](https://arxiv.org/html/2601.15342v1/Fig4_PRL_pretty.png)
A new theoretical model details how the interplay of confinement and chiral symmetry breaking shapes phase transitions within a hidden sector governed by dark QCD.
Catching Bugs in the Loop: AI-Powered Code Analysis for Python
A new framework leverages the power of locally-run artificial intelligence to identify security vulnerabilities hidden within Python code’s looping structures.
Entangled Hyperons Challenge Local Realism
New analysis of hyperon-antihyperon pairs provides stringent tests of quantum mechanics against hidden-variable theories.