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.
991 papers reviewed by authors · 831–840 / 991
This paper proposes an asymmetrical two-brane model where the Higgs vacuum expectation value varies between branes, resulting in superheavy fermions on a second, observer-free brane that could constitute a component of dark matter and generate ultra-high-energy particles through inter-brane photon interactions.
This paper proposes a theoretical framework for finite algorithmics and a generic method for automatically discovering efficient solutions to NP-complete problems in practice, arguing that bounded input sizes make these problems easier to solve than their general asymptotic counterparts.
This paper presents a comparative study of Integrated Gradients, Attention Rollout, and SHAP on a fine-tuned DistilBERT model for sentiment classification, revealing that gradient-based methods offer more stable and intuitive explanations while highlighting the trade-offs between computational efficiency, flexibility, and reliability in practical LLM explainability.
This study shows that epitaxial HfZrO-based ferroelectric memristive devices exhibit coexisting area-dependent tunneling and localized-conduction regimes, with a statistical crossover at approximately that correlates with the onset of ferroelectric wake-up and oxygen-vacancy redistribution.
This study utilizes deep VLT/HAWK-I photometry to measure the disk fraction in the high-mass star-forming region M17, finding that while local UV flux shows no correlation with disk survival due to dynamical mixing, a comparison with other regions of similar age confirms that external photoevaporation significantly reduces average disk lifetimes.
This paper introduces -FlowNet, a deep learning framework utilizing an attention-based U-Net architecture to efficiently and accurately predict fluid flow patterns in irregular microchannels, outperforming standard U-Net and T-Net models with superior dice scores and intersection over union metrics while overcoming the computational limitations of traditional CFD simulations.
The paper demonstrates that a rational agent possessing true and refinable knowledge of events can never determine whether their knowledge is complete, a limitation that persists regardless of introspection or the acquisition of new information.
This paper demonstrates that the thermality of the Unruh effect breaks down in null-shifted Rindler wedges for massive scalar and Dirac fields, as the mass term disrupts the conformal symmetry required for the characteristic exponential frequency mixing, resulting in a nonthermal response where the massive field remains unexcited.
This paper presents the implementation and evaluation of an enhanced Deep Q-Learning algorithm with a priority-based action selection mechanism for a 2D self-driving car on a custom Pygame track, demonstrating a 60% improvement in average reward over the original DQN after 1000 training episodes.
Based on an analysis of NHANES 2015-2018 data, current smoking is significantly associated with higher HbA1c levels in U.S. adults without diabetes, whereas former smoking shows no such association, suggesting the effect diminishes after cessation.