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 · 191–200 / 1335
This paper proposes an epsilon-near-zero artificial cavity to enhance light-matter coupling and theoretically demonstrates the feasibility of exciton-polariton condensation within this platform by calculating pump thresholds via a driven-dissipative rate equation model and comparing its performance to traditional distributed Bragg reflector cavities.
This paper proposes a unified formulation of the Navier-Stokes equation for fluid mechanics and aeroacoustics by introducing a generalized kinematic viscosity and a new methodology to estimate the second coefficient of viscosity, thereby eliminating the need for the Stokes' hypothesis.
This paper presents a two-level analytical framework combining a persistent telegraph process with a semi-Markov model to characterize mRNA transport in neuronal dendrites, revealing that the relationship between mean first-passage time and synaptic distance depends critically on whether retrograde or anterograde persistence dominates.
This paper proposes a geometric reformulation of measurement in Hyperhamiltonian Quantum Mechanics where complex transition amplitudes defined on the state manifold replace inverse-distance propensities, demonstrating that interference between these geometric channels can reproduce Tsirelson-bound Bell correlations while preserving no-signaling.
This study demonstrates that weight quantization in large language models amplifies determinism by reducing output diversity and increasing semantic repetition without necessarily increasing bias, with these behavioral effects varying significantly across model scales.
MeRoTune introduces a model merging technique that resolves attention subspace misalignment in RoPE-equipped models by learning constrained, RoPE-commuting correction matrices, enabling post-hoc tunable blending of fine-tuned models without modifying base weights.
This study evaluated the within-individual temporal stability of elemental and biochemical biomarkers across plasma, red blood cells, and 24-hour urine in healthy adults, revealing element- and specimen-specific patterns of stability that provide a reference framework for interpreting longitudinal measurements in clinical, nutritional, and environmental research.
The paper introduces SRPO (Setwise Relative Policy Optimization), a novel reinforcement learning framework for multi-agent LLMs that unifies division of labor and joint co-evolution by treating the minimal set of outputs consumed in a single state transition as a unified action, thereby enabling stable and effective training across diverse workflows and model scales.
This paper establishes a unified empirical framework for quasi-periodic eruptions and recurrent nuclear transients by revealing a tight, nearly linear scaling relation between their flare rise times and recurrence intervals, alongside a scattered dependence of recurrence time on black hole mass.
This paper empirically demonstrates that for Flutter/Dart code editing, direct full-file generation by large language models substantially outperforms iterative diff-based generation across all metrics, with the latter only proving competitive for short, spatially localized edits such as refactoring and error-handling tasks.