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 · 321–330 / 438
This paper introduces the SESCC method, which dates ancient star catalogues by minimizing the cross-correlation between stellar proper-motion speeds and positional residuals, and applies it to the Almagest to provide statistical evidence supporting a pre-Christian Hipparchan origin over a later Ptolemaic one.
This paper establishes instance density as a quantifiable, intrinsic driver of data complexity by demonstrating that machine learning performance degrades monotonically with increasing face counts and that models trained on low-density data fail to generalize to denser scenarios due to systematic under-counting biases.
This paper proposes a semi-supervised teacher-student learning framework that leverages CVaR-optimized labels and synthetic t-copula augmented data to train robust Bayesian and deterministic models for portfolio optimization, demonstrating their ability to outperform traditional methods in data-scarce environments and under regime shifts.
This paper reinterprets the Hamilton-Jacobi equation as a model reduction that eliminates velocity degrees of freedom, thereby extending its applicability to general Newtonian systems with non-conservative forces and deriving a dissipative Schrödinger equation through a geometric optics approximation.
This paper advocates for a pragmatist interpretation of quantum theory that treats measurement outcomes and quantum states as perspectival facts relative to specific physical contexts, thereby resolving the measurement problem and nonlocality while maintaining that the theory's statistical predictions remain objectively valid for science because actual measurements are effectively certified within a single context of assessment.
This paper proposes a novel Physics-Informed Neural Network (PINN) framework that integrates sparse Lattice Boltzmann Method (LBM) data with Navier-Stokes constraints to accurately and efficiently predict unsteady fluid flows in fractal-rough microchannels, achieving a 150–200-fold reduction in data requirements compared to traditional CFD approaches.
Using twelve years of Fermi-LAT and three years of DES data, this study establishes the extragalactic origin of the unresolved -ray background with a 10.31 significance through multi-tracer cross-correlations, revealing that its faint source populations possess distinct properties from currently resolved -ray sources.
This paper presents a low-order analytical framework demonstrating that lithium-based tritium breeding and heat-removal systems in fusion reactors exhibit Bessel-type dynamics, enabling the effective application of PID controllers to manage thermal expansion and tritium inventory errors.
This paper presents the design principle of an experimental single-channel fast reactor operating in a traveling wave mode with a softened fast neutron spectrum (peaking at 200,000–500,000 eV) to significantly reduce radiation damage to structural materials, utilizing cylindrical uranium dicarbide fuel and hydraulic fuel handling systems.
This paper proposes a unified theoretical framework within the Nexus Paradigm of quantum gravity that derives an evolving Faber-Jackson relation from the baryonic Tully-Fisher relation via a common acceleration scale and cosmic time evolution, successfully explaining observed offsets between galaxy populations as differences in formation epochs and validating these dynamically derived ages with high-precision metallicity data.