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.
1367 papers reviewed by authors · 1311–1320 / 1367
This paper proposes a data-driven robust Markov decision process framework for Borel spaces with unknown disturbance distributions, utilizing ambiguity sets defined by distance functions to establish finite-sample performance guarantees, probabilistic convergence rates, and out-of-distribution bounds that empirical MDPs fail to provide.
This paper presents a geometric refinement of the classical Cramér-Rao bound in the non-asymptotic regime by leveraging the extrinsic curvature of the statistical model manifold's square root embedding to derive tighter, curvature-aware lower bounds on estimator variance.
This paper explicitly establishes that the optimum circuit size changes by at most under truth table perturbations, extending the bound to general Hamming distances and verifying its tightness at through exhaustive SAT-based analysis.
By combining field monitoring with hydraulic modelling in Hyderabad's Musi River, this study reveals that untreated municipal sewage, rather than pharmaceutical manufacturing waste, is the primary driver of antimicrobial resistance, underscoring the urgent need for improved wastewater management in resource-limited urban environments.
This paper presents the first complete, empirically derived three-dimensional metric field for color discrimination in RGB space, based on systematic measurements from eight observers that reveal a smooth, consistent, and anisotropic structure of perceptual color differences.
This paper introduces inheritance-calculus, a declarative programming foundation based on records, definitions, and inheritance that unifies core object-oriented concepts under set union to structurally resolve multiple-inheritance issues and achieve greater expressiveness than the -calculus.
This paper presents end-to-end numerical simulations demonstrating that while non-common path aberration compensation significantly reduces residual starlight in the SAXO+ system, a dark hole loop achieves a superior factor of 200 reduction, with the study also establishing that calibrating pyramid optical gains is beneficial for single-loop systems but unnecessary for the dual-loop SAXO+ architecture.
This paper explores the geometry of popup structures by combining origami and kirigami principles to establish a design pipeline that uses discrete surface curvature definitions to generate cut-fold patterns capable of creating complex, deployable shapes with applications in drag reduction, packaging, and architecture.
The paper presents WeldAR, an Augmented Reality system integrated into welding equipment that provides real-time in-situ guidance to novices, demonstrating through a user study that it significantly improves welding performance and the transfer of embodied skills compared to traditional video instruction.
This paper introduces ABD, a benchmark for default-exception abduction in finite first-order worlds that evaluates ten frontier LLMs on their ability to generate sparse, satisfiability-restoring formulas across three observation regimes, revealing that while models achieve high validity, they struggle with parsimony and exhibit distinct generalization failures.