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.
1351 papers reviewed by authors · 741–750 / 1351
Using Spanish firm-level data, this paper demonstrates that the previously reported large share of intermediaries in exports is significantly overstated because many classified as such are actually manufacturer-owned export arms or vertically integrated firms, with the true share of pure intermediaries falling by approximately 70% once these groups are excluded.
This paper presents a re-engineered, multi-thermal implementation of the ALMANAC algorithm that enhances low-coronal CME detection and early warning capabilities by integrating multi-wavelength EUV observations to improve event discrimination, onset localization, and the identification of pre-eruptive signatures.
This paper benchmarks neural posterior estimation against nested sampling for X-ray spectral analysis, demonstrating that while amortized methods offer speed, they require specific trust diagnostics like posterior-predictive checks and evidence-based model comparison to detect silent miscalibration, gain shifts, and unmodeled features that standard recovery metrics miss.
This paper proposes a nonlinear exciton-polariton microcavity system where the simultaneous breaking of inversion and time-reversal symmetries creates unpaired Dirac cones, enabling the existence of stable, circulating edge solitons and bistable unidirectional edge states despite the absence of a complete spectral gap.
This paper establishes a stochastic thermodynamic framework for diffusion models, demonstrating that the average time-asymmetry entropy production is proportional to the score-matching objective and that its fluctuations quantify sampling diversity, thereby revealing the entropic mechanisms underlying the superior performance and generalization of diffusion-based generative AI.
This paper introduces "Rift," a detectable internal conflict signature characterized by elevated residual rank that distinguishes deceptive language model outputs from honest errors and hallucinations with near-perfect accuracy, even across different model families, languages, and strategic concealment attempts, while remaining undetectable to injection.
This paper introduces MultiClin, a clinical ASR benchmark that addresses the underestimation of performance in non-English settings caused by multiscript variability, demonstrating that multiscript-aware evaluation yields fairer assessments and that unifying scripts during training significantly improves model convergence and recognition accuracy.
This paper presents an end-to-end open-source reproduction of the FastGRNN model, demonstrating its successful deployment on ultra-constrained 8-bit and 16-bit microcontrollers through a novel compression pipeline that achieves real-time, energy-efficient inference with high accuracy and bit-equivalent determinism.
This paper reports ALMA and JWST observations of a massive galaxy in a protocluster at redshift 4.3 undergoing extreme ram-pressure stripping, demonstrating that hydrodynamic gas removal can effectively quench massive galaxies in dense environments as early as .
This paper evaluates the Chebfun software system for solving Richards' equation, demonstrating that while its automated `chebop` class offers high precision, explicit functional linearization and the implicit L-scheme provide more robust and globally convergent alternatives for handling nonlinear boundary value problems.