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.
1335 papers reviewed by authors · 51–60 / 1335
This study demonstrates that in a two-agent language model loop, apparent recovery from instruction violations is often merely the verbatim reproduction of previously generated text rather than genuine rule re-application, highlighting that feedback policies primarily dictate text circulation while true adherence requires testing an agent's ability to newly compose content.
This study characterizes the spatial and seasonal distribution of plastic debris and its associated plastisphere community in Tunisia's Sahline Salt Marsh, revealing significant correlations between specific plastic types, biotic components, and physicochemical gradients while emphasizing that these relationships represent associations rather than direct causal effects.
This paper presents a unified theory of magic angles in twisted bilayer graphene within a chiral continuum model, demonstrating that the phenomenon arises from a non-Abelian pseudo-magnetic field which generates an asymptotic sequence of flat bands, distinct topological phases, and a specific scaling rule for higher-order magic angles.
This study demonstrates that a minimal single-band model derived from first-principles calculations, utilizing a consistently downfolded local interaction of 1.138 eV via cRPA and solved with DFT+DMFT, successfully captures the correlated metallic nature and key experimental spectral features of monolayer 1H-NbS without requiring the complex multi-orbital or electron-phonon couplings previously thought necessary.
This paper derives a closed set of four background equations describing the production of massive particle-antiparticle pairs and their energy exchange with a time-varying cosmological term in a Friedmann universe, based on a complex scalar field with global U(1) symmetry and non-minimal curvature coupling, and demonstrates that this framework yields exact power-law solutions applicable to inflation, reheating, and standard cosmology.
This paper proposes a time-efficient active bearing-only localization strategy that utilizes a three-disk filter and minimum enclosing circle to guarantee reception and source removal while minimizing expected mission time, demonstrating significant performance improvements over prescribed point designs in extensive validation tests.
A laboratory study conducted at Lamjung Campus, Nepal, evaluated eight cowpea varieties against the pulse beetle (*Callosobruchus chinensis*) and identified the Chandra variety as significantly resistant with minimal damage, while Makai bodi showed the highest susceptibility, demonstrating a strong positive correlation between beetle activity and seed weight loss.
This paper extends Belnap-Dunn's four-valued FDE logic with Boolean connectives to define and analyze modalities of essential and accidental truth, falsity, inconsistency, and indeterminacy, providing them with a four-valued S5-based Kripke semantics, cut-free hypersequent calculi, and embedding theorems that establish soundness, completeness, and cut-admissibility.
This paper introduces PerFeCT-VAR, a personalized federated learning framework for high-dimensional time series that leverages the principle of personalization diversity to decompose client-specific dynamics into shared and personalized components, thereby achieving both federated sample-size efficiency and client-level accuracy.
This paper introduces the Weibull-MBUR {Y} family of generalized unit distributions by applying the T-X{Y} framework to link a baseline Median Based Unit Rayleigh distribution with a Weibull generator through various link functions, deriving their statistical properties and analyzing their parameter correlations using real-world COVID-19 recovery data to determine if such correlations are driven by the data, the distribution, or their interaction.