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.
438 papers reviewed by authors · 201–210 / 438
This review summarizes recent advancements in time-resolved X-ray techniques, such as those utilizing XFELs and tabletop HHG sources, which enable element- and momentum-specific probing of ultrafast charge, spin, orbital, and lattice dynamics in transition-metal compounds.
This study combines first-principles calculations and optical spectroscopy to demonstrate how tuning the vertical electric field in electron-doped MoSe/WS moiré superlattices switches the band alignment from Type-I to Type-II, enabling precise control over interlayer charge-transfer states and the realization of a tunable Fermi-Hubbard model with predicted correlated charge-ordered states at integer and fractional fillings.
This study demonstrates that verbalized evaluation awareness in large reasoning models has a negligible impact on their actual behavior across safety, alignment, and reasoning benchmarks, suggesting that high rates of such awareness should not be automatically interpreted as evidence of strategic manipulation or alignment tampering.
This paper introduces FRE-RNN, a biologically plausible recurrent neural network incorporating feedback regulation and residual connections that overcomes the instability and high computational costs of Equilibrium Propagation, achieving convergence speeds and performance comparable to backpropagation while enabling practical large-scale brain-inspired learning.
By applying causal inference methods to the Framingham Heart Study, this paper demonstrates that standard observational risk calculators overestimate the absolute benefit of blood pressure reduction on coronary heart disease risk by approximately 21.8% due to confounding, highlighting the critical need to distinguish between conditional probabilities and interventional effects in clinical decision-making.
This paper introduces GRALIS, a unified mathematical framework grounded in the Riesz Representation Theorem that establishes a canonical form for linear attribution methods, simultaneously satisfying 13.5 out of 14 axiomatic properties and providing formal guarantees for completeness, convergence, and multi-scale interactions that individual XAI methods lack.
This paper proposes a novel method to detect -scale axion-like particle dark matter by cross-correlating radio intensity mapping with galaxy surveys from the 2MRS, demonstrating that the Square Kilometre Array Phase 2 can effectively probe these signals by accounting for stimulated decay driven by both the CMB and the extragalactic radio background.
By analyzing LAMOST and Gaia data and validating with N-body simulations, this study demonstrates that radial corrugations modeled as two counter-propagating waves can plausibly explain the observed wave-like kinematic features and the structural transition between the inner and outer Galactic thin disks.
This paper introduces the effective rank () as a novel quantitative measure for characterizing the expressivity of quantum neural networks and leverages a reinforcement learning framework with a self-attention transformer agent to automatically design highly expressive quantum circuit architectures that maximize this metric.
This paper proves that the misspecification penalty in kernelized bandit optimization — both offline (simple regret) and online (cumulative regret) — can be reduced from a square-root-of-complexity factor to a logarithmic or polylogarithmic one, by exploiting spectral localization in the offline setting and spatial domain-splitting in the online setting.