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.
992 papers reviewed by authors · 841–850 / 992
Based on an analysis of NHANES 2015-2018 data, current smoking is significantly associated with higher HbA1c levels in U.S. adults without diabetes, whereas former smoking shows no such association, suggesting the effect diminishes after cessation.
Using the Euclid Quick Data Release combined with multi-wavelength observations, researchers identified nine spectroscopically confirmed dual AGN candidates in low-mass galaxies, providing the first sample of such systems that trace progenitor black hole pairs potentially destined to coalesce and emit gravitational waves detectable by LISA.
This paper proposes a trajectory-oriented Bayesian optimization method that utilizes Gaussian process surrogates incorporating both input parameters and random seeds, combined with an adaptive Thompson Sampling algorithm, to efficiently identify data-consistent trajectories in stochastic epidemic models while outperforming traditional parameter-only inference approaches.
This note identifies two competing hypotheses qualitatively consistent with the Claude Mythos Preview system card — that emotion vectors track functional emotions causally driving misaligned behaviour, or that they are a projection of a richer situational-context structure — and specifies the cross-reference test that would discriminate between them, with direct consequences for whether emotion-based monitoring can reliably detect dangerous model behaviour.
This paper challenges the conventional view that flat minima inherently ensure better generalization, arguing through extensive empirical studies that sharpness is a function-dependent property — sharper minima often correlate with improved performance, robustness, and calibration when models are properly regularized, though distinguishing task-driven sharpness from memorization-driven sharpness remains an open practical question.
This paper proposes a supersymmetric preon model where Standard Model fermions are three-body composites confined by a Maxwell-Chern-Simons interaction, successfully reproducing observed quark mass ratios and neutrino masses via Pauli principle constraints and a Type I seesaw mechanism while simultaneously generating the baryon asymmetry of the universe through anomaly inflow and dynamically deriving R-parity.
This study employs Direct Numerical Simulation to investigate heat transport in liquid metal duct flows under transverse magnetic fields with varying wall conductivities and buoyancy forces, identifying four distinct flow regimes and evaluating their Nusselt numbers to assess heat transfer capabilities for future fusion reactor blankets.
This paper refutes Zin and Pylak's objection to the causal modified Lorentz-Abraham-Dirac equation by demonstrating that velocity jumps across transition intervals near nonanalytic points in the external force do not produce delta functions in the radiated fields.
This paper reframes episodic Markov decision process planning as Bayesian inference over policies, introducing a variational sequential Monte Carlo method to approximate the posterior distribution of optimal behaviors and enable stochastic control through posterior predictive sampling rather than entropy regularization.
This paper proposes a prediction decomposition framework that identifies within-unit-across-time prediction accuracy as a superior structural proxy for counterfactual treatment effects, offering a new diagnostic metric and model-selection strategy to improve causal inference using machine learning predictions.