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.

984 papers reviewed by authors · 701–710 / 984

🔬 materials science

Bridging the Gap between Extreme Environments and Precision Measurements: Recent Progress in Megagauss Physics

This review article summarizes recent technological breakthroughs in generating ultrastrong magnetic fields (100–1,000+ T) via Single-Turn Coil and Electromagnetic Flux Compression methods, while detailing specialized measurement infrastructures and highlighting key physical phenomena discovered in materials science under these extreme conditions.

Shojiro Takeyama2026-05-13✓ Author reviewed
💬 NLP

Metaphor Is Not All Attention Needs

This paper investigates why poetic reformulations successfully jailbreak large language models, finding that the vulnerability stems not from a failure to recognize literary formats but from accumulated stylistic irregularities that alter the model's processing patterns and bypass safety mechanisms independent of harmful-content detection.

Olga Sorokoletova, Francesco Giarrusso, Giacomo De Luca, Piercosma Bisconti, Matteo Prandi, Federico Pierucci, Marcello (…)2026-05-13✓ Author reviewed
🔭 astrophysics

Evidence for the gravity-driven and magnetically-regularized gas flows feeding the massive protostellar cluster in Cepheus A

This study utilizes high-resolution observations of the Cepheus A massive protostellar cluster to demonstrate that gravity drives gas inflows while magnetic fields cooperatively regulate turbulence, revealing a coherent, multiscale alignment of gravitational, magnetic, and velocity fields that challenges the conventional view of magnetic fields as purely resistive forces in star formation.

Panigrahy Sandhyarani (Department of Physics, Indian Institute of Science Education and Research Tirupati, Yerpedu, Tiru (…)2026-05-13✓ Author reviewed
💻 computer science

ShapeCodeBench: A Renewable Benchmark for Perception-to-Program Reconstruction of Synthetic Shape Scenes

The paper introduces ShapeCodeBench, a renewable synthetic benchmark designed to evaluate models on perception-to-program reconstruction tasks by requiring them to generate executable drawing programs from rendered images, revealing that while current multimodal models preserve foreground structure, they still struggle with exact match due to minor parameter errors.

Shivam Kumar2026-05-13✓ Author reviewed