✓ Reviewed

Author-Reviewed Papers

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 · 221–230 / 1335

🔢 mathematics

A New Parametric Kernel Function Based on an Archimedean Copula Generator with Application to Primal-Dual Interior-Point Methods

This paper introduces a new parametric kernel function for primal-dual interior-point methods in linear optimization, derived from the Archimedean Clayton copula generator, which achieves the optimal O(nlog⁡nlog⁡(n/ε))O(\sqrt{n} \log n \log(n/\varepsilon)) iteration bound for large-update methods and demonstrates superior or tied-best performance across all tested instances compared to 54 competing kernel configurations.

Bachir Bounibane, Hamza Bounibane2026-09-04✓ Author reviewed ⓘ
🔬 optics

Mesoscopic Light Localization and Inverse Participation Ratio Analysis of Tissue Structural Disorder for Optical Cancer Detection

This paper introduces a novel, physics-based framework that utilizes Inverse Participation Ratio (IPR) analysis of light localization to transform standard optical micrographs into quantitative maps of tissue structural heterogeneity, offering a scalable and label-free method for detecting cancer through nano- to submicron-scale structural alterations.

Santanu Maity, Mousa Alrubayan, Prabhakar Pradhan2026-09-03✓ Author reviewed ⓘ
🤖 AI

Epistemic Sybil Resistance: Multiplying AI Agents Without Multiplying Evidence

This paper identifies the "epistemic Sybil" problem in multi-agent AI systems, demonstrating that simply increasing the number of agents does not improve inference reliability because independent agents often share correlated errors and common evidential roots, necessitating aggregation methods that prioritize tracking evidential ancestry over mere report multiplicity or similarity.

Marc Bara2026-09-03✓ Author reviewed ⓘ
🔭 astrophysics

Constraining reionization-era Lyα\alpha escape with JELS-MUSE: a highly complete Hα\alpha-selected sample at z∼6.1z\sim6.1

Using a highly complete, Hα\alpha-selected sample of 24 star-forming galaxies at z≈6.1z \approx 6.1 observed by JWST and VLT/MUSE, this study measures a mean Lyα\alpha escape fraction of 0.07 and demonstrates that the observed scatter is driven by intrinsic ISM properties like dust attenuation and stellar mass rather than IGM variations, providing a crucial baseline for interpreting Lyα\alpha suppression during the Epoch of Reionization.

A. L. Patrick, K. J. Duncan, Z. Li, C. A. Pirie, A. M. Swinbank, L. C. Keating, S. R. Flury, R. Begley, P. N. Best, M. B (…)2026-09-03✓ Author reviewed ⓘ
🔢 mathematics

Locally Conformally Flat Manifolds with Positive Scalar Curvature: Kleinian Groups, Moduli Spaces, and Euclidean Rigidity

This paper investigates the geometric and topological constraints of locally conformally flat manifolds with positive scalar curvature, establishing bounds on macroscopic and Hausdorff dimensions, proving non-existence results for aspherical manifolds, demonstrating Euclidean rigidity under specific conditions, and characterizing the contractibility of their moduli spaces across various dimensions.

Jialong Deng2026-09-03✓ Author reviewed ⓘ
💬 NLP

Privacy Washing: Detecting Internal Contradictions in Privacy Policies

This paper introduces a multi-stage LLM-based pipeline to detect "privacy washing"—internal contradictions in privacy policies where commitments are undermined by other clauses—and applies it to 2026 and 2015 corpora to reveal recurring third-party sharing contradictions in a significant portion of companies, while noting that prevalence figures are lower bounds due to the lack of human expert validation.

Thomas Brackin2026-09-03✓ Author reviewed ⓘ
🔢 mathematics

An Affine Semigroup from Orbifold Boundary Conditions: cut, phylogenetic and hierarchical models in the unit-weight sector, and weighted configurations beyond them

This paper identifies the affine semigroup governing gauge theory boundary conditions on two-dimensional orbifolds, demonstrating that its unweighted sector encompasses known cut, phylogenetic, and hierarchical models—including group-based models on tripods—while providing a new complete intersection classification for these models. The weighted sector introduces new structures involving tree gluing for weighted alphabets and the emergence of orthogonal and symplectic columns.

Carles Marín2026-09-03✓ Author reviewed ⓘ