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.
1336 papers reviewed by authors · 441–450 / 1336
This paper proposes a set of megaengineering solutions to counteract seven long-term threats, potentially extending Earth's habitability by up to 9.1 million billion years and presenting a more feasible alternative to interstellar migration.
This paper introduces a novel manipulation testing framework for Regression Discontinuity Designs that leverages Benford's Law to detect structural imbalances in running variables by analyzing directional density components, offering a parameter-free, more sensitive alternative to traditional McCrary-type tests.
This paper resolves fundamental issues in evolutionary theory by redefining fitness as a Bayesian likelihood, demonstrating that natural selection acts to maximize the mutual information between population structure and environmental statistics, thereby establishing information maximization as the governing principle of evolution.
This study proposes a pathway-informed stratification of major depression by demonstrating that symptom-specific genetic liabilities converge on mitochondrial metabolism and trafficking pathways previously linked to NMN-rescued aging programs, thereby supporting a biologically distinct dimensional model of the disorder.
This paper proposes a new framework for penetration testing AI-enabled systems that shifts the focus from traditional infrastructure compromise to evaluating whether adversaries can induce behavioral violations of operational objectives through various influence pathways like prompt injection and data poisoning.
This study introduces the Hierarchical Cascade Surrogate for CO2 Storage (HCS-CO2S), a physics-driven machine learning model that accurately predicts the full compositional state of reservoir fluids over centennial timescales by decomposing the prediction task into five causally ordered levels to suppress error accumulation in blind forecasts.
The authors present RAcolony, an intelligent, high-throughput platform that integrates Raman spectroscopy with automated imaging to efficiently construct personalized gut microbiome biobanks by significantly reducing redundancy and capturing high-resolution microbial diversity, including novel taxa.
This paper proposes a Soft Actor-Critic reinforcement learning framework integrated with a behaviorally heterogeneous S1S2IR epidemic model to dynamically optimize intervention strategies, demonstrating through COVID-19 calibration that it effectively reduces infection peaks and costs compared to static policies.
This study develops an integrated framework combining Ordinary Kriging, Random Forest, and Multi-Layer Perceptron models to create district-level dengue risk maps in Sri Lanka, demonstrating that this ensemble approach effectively identifies high-risk urban areas and supports targeted public health interventions.
This paper presents the first constraints on high-frequency gravitational waves in much of the 100 kHz to 100 MHz range, although parts of this region have been previously probed by the Holometer and bulk acoustic wave devices. By utilizing optical precision spectroscopy to detect the modulation of photon frequencies in laser cavities, this method offers a path toward significantly enhanced sensitivity and an extended detectable frequency range of at least 1 GHz.