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.
1367 papers reviewed by authors · 1291–1300 / 1367
This paper demonstrates that degree-biased sampling in undirected graphs eliminates the friendship paradox by ensuring the expected degree of sampled vertices equals the expected degree of their neighbors, a condition equivalent to the stationary state of a random walk or the conservation of total flow.
The paper introduces the SEVA framework, an externally driven model that successfully reproduces the temporal structure of early COVID-19 mortality waves across multiple regions using a single parameter for population-level exposure, thereby offering a parsimonious alternative to traditional transmission-based models by decoupling epidemic dynamics from infection feedback.
This work proposes and demonstrates that Progressive Diverse Population Sampling (PDPS), a method that uncovers hidden vulnerabilities by shifting focus from rephrasing inputs to systematically and efficiently sampling high quality diverse model outputs, can expose a broad range of suppressed unsafe knowledge in LLMs at a significantly lower computational cost than traditional methods.
This paper systematically evaluates the faithfulness of closed-source large language models in medical reasoning through black-box perturbation probes and human assessments, revealing that their chain-of-thought explanations often fail to causally drive predictions and are susceptible to external hints, thereby highlighting the critical need to prioritize faithfulness over mere accuracy for safe clinical deployment.
This paper demonstrates a quantum advantage in strong coin flipping—a cryptographic primitive for distrustful parties—by experimentally implementing a protocol using a deterministic quantum dot single-photon source that outperforms both classical methods and previous faint-laser pulse implementations.
This paper generalizes the free field construction of Heterotic string models from Gepner points to all Calabi-Yau manifolds of Berglund-Hubsch type by utilizing the Batyrev-Borisov combinatorial approach to define vertex operators via Borisov differentials and derive particle spectrum representations directly from reflexive Batyrev polytopes.
This paper investigates the collective fluctuations of an ensemble of independent scaled Brownian particles subject to renewal resetting, revealing that the system radius follows Gumbel statistics while the center of mass exhibits anomalous large deviations driven by a "big jump" effect for .
This paper introduces Randomly Modulated Gaussian Processes as a unifying framework that generalizes diverse anomalous diffusion models in heterogeneous media, enabling systematic statistical characterization, deriving key metrics for experimental classification, and facilitating biophysical interpretations of single-particle trajectories.
This paper employs time-dependent Landauer-Büttiker transport theory to analyze current cross-correlations in Majorana zero mode nanowire junctions, deriving a heuristic formula for electron traversal times and proposing a time-resolved transport measurement to experimentally distinguish genuine Majorana bound states from spurious ones.
This paper provides a comprehensive empirical investigation to definitively resolve conflicting claims about the linear separability of the MNIST handwritten digits dataset by systematically analyzing pairwise and one-vs-rest separability across training, test, and combined sets.