For every paper on this page, at least one of the original authors has seen our plain-language explanation and engaged with it — either confirming it reads accurately or requesting corrections that we then applied. An endorsement does not mean the authors formally approve every sentence, but it does mean the explanation has passed the eyes of the people who wrote the paper.

950 papers reviewed by authors · 411–420 / 950

🔬 applied physics

Chemical tuning of magnetic ordering and cryogenic magnetocaloric response in zircon-type Gd1-xErxVO4

This study demonstrates that partial substitution of Gd³⁺ with smaller Er³⁺ ions in zircon-type Gd₁₋ₓErₓVO₄ systematically tunes lattice parameters and magnetic interactions, effectively optimizing the low-temperature magnetocaloric performance for cryogenic refrigeration, with the Gd₀.₉Er₀.₁VO₄ composition achieving a maximum magnetic entropy change of 45.1 J kg⁻¹ K⁻¹ under a 7 T field.

Ming Zeng, Muqing Su, Liang Ming, Xiaolong Yang, Wang Chen, Lingwei Li, Hai-Feng Li2026-06-09✓ Author reviewed
📊 statistics

Variational Proximal Policy Optimization

This paper introduces Variational Proximal Policy Optimization (\textscVP2\textscO\textsc{VP}_2\textsc{O}), a particle-based variational inference framework that integrates Stein Variational Gradient Descent with a Mixture-of-Experts architecture to mitigate policy mode collapse and distribution drift, achieving significant performance gains in reasoning benchmarks and token efficiency.

Ousmane Amadou Dia2026-06-09✓ Author reviewed
🔭 astrophysics

Faraday Complexity and Depolarisation in a High-Rotation-Measure Radio Galaxy from the Spectra and Polarisation In Cutouts of Extragalactic Sources (SPICE-RACS) DR2

This study utilizes broadband spectro-polarimetric observations from the SPICE-RACS DR2 survey to characterize the complex Faraday rotation and depolarization structure of the high-rotation-measure radio galaxy RACS_0900-28_7036, identifying a preferred multi-component model that reveals distinct magnetized regions along the line of sight and demonstrates ASKAP's capability for systematic investigations of Faraday complexity in extragalactic sources.

Debajyoti Mondal, Abhik Ghosh2026-06-09✓ Author reviewed
⚛️ quantum physics

Pure and mixed Dicke state ansatz for equality and inequality constraints in variational quantum eigensolver

This paper introduces a feasibility-preserving mixed Dicke state ansatz for the Variational Quantum Eigensolver that structurally encodes both equality and inequality Hamming weight constraints to eliminate the need for penalty terms, demonstrating superior performance over random search in combinatorial portfolio optimization while highlighting remaining challenges for NISQ hardware deployment.

J. V. S Scursulim2026-06-09✓ Author reviewed
🔭 astrophysics

CORALIE radial-velocity search for companions around evolved stars (CASCADES) V. Three planetary companions and achievable precision

The CASCADES survey utilized long-term CORALIE radial velocity measurements to confirm three massive planetary companions orbiting two low-luminosity red giant stars while demonstrating an effective observing strategy to mitigate stellar pulsation noise.

P. Figueira (Instituto de Astrofísica de Andalucía-CSIC, Observatoire Astronomique de l Université de Genève), E. Fontan (…)2026-06-09✓ Author reviewed
🤖 AI

Testing the Black Box: Structural Barriers to Independent Evaluation of Consumer-Facing Health LLMs

This paper identifies five structural barriers—including opaque personalization, restrictive access policies, and unstable model versions—that currently prevent reliable independent evaluation of how consumer-facing health large language models vary their responses and exhibit sycophancy in ordinary use, underscoring the urgent need for new governance frameworks to ensure safety and equity.

Rahul Gorijavolu, Kaushik Madapati, Pritika Vig, Rawan Abulibdeh, Nikhil Jaiswal, Mahri Kadyrova, Zeamanuel Hailu Tesfay (…)2026-06-09✓ Author reviewed
🔭 astrophysics

A Meta-Learning Framework for Multitask Reverberation Mapping in Active Galactic Nuclei

This paper presents a meta-learning framework based on Attentive Latent Neural Processes that significantly improves the unsupervised reconstruction of AGN light curves and the recovery of supermassive black hole properties and transfer functions, demonstrating its scalability and effectiveness for the upcoming Vera C. Rubin Observatory Legacy Survey of Space and Time.

Aman N. Raju, Andjelka B. Kovačević, Dragana Ilić, Francesco Tombesi, Luka Č. Popović, Eric Slezak, Paula Sanchez-Saez (…)2026-06-09✓ Author reviewed
🤖 machine learning

Constraint-Aware Optimization for Robust Protein Stability Prediction

This paper introduces a constraint-aware optimization framework that enhances the robustness and accuracy of protein stability prediction on out-of-distribution benchmarks by integrating Balanced Mean Squared Error, a Siamese anti-symmetric regularizer, and an OOD-margin consistency loss without requiring architectural modifications to the underlying model.

A Shivram, Aneesh S. Chivukula, Manik Gupta, Sourav Chowdhury2026-06-09✓ Author reviewed