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.
898 papers reviewed by authors · 11–20 / 898
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 a comprehensive analysis of six years of TESS photometry and 22 years of radial velocity data for the Mensae system, yielding significantly improved orbital ephemerides for planets b and c, constraining the mass of a proposed third planet, and identifying Men c as a prime target for future JWST atmospheric studies.
This systematic review and meta-analysis of six studies involving 2,819 postpartum mothers in Ethiopia reveals a severe public health burden of anemia with a pooled prevalence of 35.4%, driven significantly by modifiable factors such as inadequate antenatal care, poor iron and folic acid adherence, hemorrhagic complications, and low educational attainment.
This paper introduces a causal audit framework demonstrating that standard correlational recovery metrics for Sparse Autoencoder features are insufficient, as they fail to detect that a significant portion of "recovered" features are causally inert due to geometric artifacts and competitive pathologies, thereby necessitating a shift from geometric alignment validation to causal verification.