Papers where the original authors have engaged with our plain-language explanation.
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.
1348 papers reviewed by authors · 681–690 / 1348
This paper demonstrates the feasibility of wide-field optically detected magnetic resonance (ODMR) using nitrogen-vacancy (NV) centers to spatially visualize magnetic fields under simultaneous extreme conditions of high pressure (up to 7 GPa) and high temperature (500 K), establishing a new platform for imaging magnetic phenomena in such environments.
This paper presents an NLTE spectroscopic analysis of three CEMP stars, demonstrating that the fraction of odd barium isotopes () serves as a distinct signature to differentiate between CEMP-s and CEMP-rs types, thereby providing observational constraints for i-process nucleosynthesis.
This study utilizes a forward-modeling framework applied to 90 localized fast radio bursts to demonstrate that the host dispersion measure evolves with redshift (), providing a unified probe for ionized gas evolution in galaxies and halos while highlighting the necessity of accounting for this evolution to avoid significant redshift estimation errors.
This paper demonstrates that emergent capabilities in transformer models arise stochastically during training as a result of the abrupt learning of task-relevant, sparse attention patterns, with larger models acquiring these patterns earlier due to improved learning efficiency.
This paper establishes a three-dimensional positive-cone continuation criterion for the stress-diffusion-free Oldroyd-B system, demonstrating that finite-time breakdown occurs only through the loss of logarithmic spectral envelopes or vorticity divergence, while simultaneously deriving a residual-work criterion linking positive pressure-free work to entropy-dual conformation defects.
This study presents a high-performance deep learning model using the METABRIC dataset that achieves a new benchmark in breast cancer recurrence prediction by attaining 100% precision, thereby demonstrating that sophisticated data engineering and network architecture can outperform complex multi-modal approaches even with limited clinical data.
This study integrates multi-omic analyses to define a mito_lysis-like malignant program in clear cell renal cell carcinoma that is coupled with a TNFRSF12A-MAP3K14-VCAM1 inflammatory remodeling axis, linking mitochondrial stress in malignant cells to myeloid-driven niche interactions and poor patient survival.
This prospective study of Indian women demonstrates that while HE4 and ROMA offer superior diagnostic accuracy for premenopausal adnexal masses, the Copenhagen Index provides the highest specificity and AUC for postmenopausal women, establishing these biomarkers as effective adjunctive tools for preoperative risk stratification.
This study analyzes the increasing interannual trend of tropical cyclone landfalls in Mozambique from 1971 to 2025, revealing that their frequency and timing are significantly driven by large-scale atmospheric moisture convergence and modulated by climate modes such as the Southern Annular Mode and Indian Ocean Dipole.
This paper demonstrates that machine-learning screens for sodium-cathode voltages, which rely on computationally derived references with systematic errors, failed pre-registered validation against experimental data due to a dominant 0.54 V bias in the reference values rather than the model itself, leading the authors to retire the screen and commit to a new calibration audit.