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 · 171–180 / 1335
This paper provides a pedagogical reconstruction of the Aerts-Broekaert-Smets quantum model of the liar paradox using Dirac notation to clarify that while the unitary dynamics can be represented in a four-dimensional truth-only space, the enlargement of the state space is necessary to account for measurement structures and cognitive memory in revision processes.
This paper demonstrates that lensless near-eye gaze sensing is not inherently private, as empirical audits reveal that coded measurements and various derived representations still leak sufficient subject-correlated information to enable high-accuracy identity reconstruction, proving that privacy must be evaluated at system disclosure boundaries rather than inferred from visual unintelligibility.
This paper demonstrates that releasing a single draw from the posterior distribution of the Bayesian Fay-Herriot model (or a noisy posterior mean) provides formal Rényi and zero-concentrated differential privacy guarantees without added noise, where the strength of the guarantee is primarily determined by survey weight inequality and model shrinkage rather than sample size.
This paper demonstrates that simple first-order temporal interpolation can effectively recover missing ankle keypoints in monocular gait analysis, restoring knee-angle accuracy and signal variance to near-baseline levels without the need for complex learned reconstruction models.
This paper reviews the Astronomaly framework and demonstrates how combining deep learning with active human input enables the automation of scientific discovery by identifying rare and novel astronomical objects in the massive datasets generated by next-generation telescopes.
This paper investigates how integrating visuotactile sensing into a compact world model significantly improves contact prediction and reward alignment for robotic lifting tasks, though it reveals a persistent trade-off between achieving high task success rates and strictly adhering to force constraints without demonstrated sim-to-real transfer.
This paper presents a study of the interplay between space charge and intrabeam scattering in the CERN LHC ion injector chain (SPS and LEIR) by implementing a modified stochastic IBS kick within PyORBIT simulations, which are benchmarked against analytical models and validated through comparison with beam measurements.
This paper presents the development of an optimization algorithm coupling a Genetic Algorithm with high-frequency simulation to design unconventional microwave resonator geometries that significantly enhance electric field strengths for more efficient and productive false-twist texturing of synthetic fibres.
This paper establishes a certified upper bound of for the honest-decapsulation failure probability of ML-KEM-768 within a dependency-aware random-oracle and centered-binomial abstraction, utilizing a novel graph-coupled analysis and exhaustive anti-concentration techniques to rigorously justify the scheme's heuristic failure scale.
This parametric study of steel girder bridges in Dakar, Senegal, reveals that while seismic actions govern force-based demands and longitudinal displacements, wind loads control transverse pier displacements for taller piers, demonstrating that both actions are critical and their dominance depends on the specific engineering demand parameter and pier height.