✓ 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.

1351 papers reviewed by authors · 751–760 / 1351

🔭 astrophysics

The impact of the white dwarf initial-final mass relation on star clusters' ages inferred from their cooling sequence

This study quantifies how the choice of white dwarf initial-final mass relations introduces systematic uncertainties in star cluster age determinations, finding that while the impact is negligible for young clusters, it can cause age offsets of up to 0.6 Gyr for intermediate-age clusters and up to 0.8 Gyr for old, metal-poor clusters if metallicity dependence is neglected.

Maurizio Salaris (INAF -- Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Italy, ARI -- Liverpool John Mo (…)2026-06-16✓ Author reviewed ⓘ
🔭 astrophysics

Encounters of star clusters as a possible source of disturbances in their internal structure

By integrating galactic orbits over the last 100 million years and validating candidates via Monte Carlo simulations, this study identifies two reliable past close encounters involving the Hyades and Pleiades clusters, suggesting that the Hyades' recent passage near the Corona Australis star-forming cloud may have caused internal structural disturbances such as the mini-clusters observed in the Pleiades.

M. D. Sizova, L. A. Maksimova, S. V. Vereshchagin2026-06-16✓ Author reviewed ⓘ
📈 economics

Generative Predictive Distributions for Time Series

This paper proposes a flexible, computationally efficient framework for modeling nonlinear multivariate time series predictive distributions by leveraging a measure-theoretic generative representation estimated via conditional generative adversarial networks, with proven consistency under weak temporal dependence and demonstrated empirical success in financial applications.

Jordi Llorens-Terrazas, Mika Meitz2026-06-16✓ Author reviewed ⓘ
💰 quantitative finance

PHINN: Persistent Homology Inspired Neural Network for Rare-Event Time Series Generation

PHINN is a flow-matching generative framework that leverages persistent homology, specifically dynamic Betti curves and persistence landscape losses, to effectively model rare events in time series by capturing stable topological fingerprints, thereby outperforming existing statistical and diffusion baselines in topological fidelity and tail coverage across diverse domains.

Emre Yusuf, Ren Takahashi, Jayabrata Bhaduri2026-06-16✓ Author reviewed ⓘ
⚛️ phenomenology

LIGO, LISA and Ultralight Axion-like Dark Matter

This paper proposes that gravitational wave interferometers like LIGO and LISA can detect ultralight axion-like dark matter by measuring periodic polarization or phase modulations in their laser beams, with LISA projected to achieve sensitivities orders of magnitude better than current helioscope bounds for masses between 10−1910^{-19} and 10−1610^{-16} eV.

Lawrence M. Krauss (The Origins Project Foundation)2026-06-16✓ Author reviewed ⓘ
🔢 mathematics

Quantization of Contact 3-Manifolds and the Reeb Gravitational Field

This paper proposes a unified geometric framework that canonically quantizes closed contact 3-manifolds via holomorphic embeddings into C3\mathbb{C}^3 to define finite-dimensional Hilbert spaces, while demonstrating that the Reeb vector field models Einstein gravity under Sasakian assumptions and providing a novel quantum invariant to distinguish tight contact structures.

Ali M. Elgindi2026-06-16✓ Author reviewed ⓘ
🤖 AI

Your Agent Has a Genome: Sequence-Level Behavioral Analysis and Runtime Governance of LLM-Powered Autonomous Agents

This paper introduces "Base Sequence Analysis," a genomic-inspired framework that encodes LLM agent behaviors into symbolic sequences to identify high-risk patterns and verification deficits, leading to the development of "Governor," a runtime governance system that significantly improves task success rates and reduces token consumption in autonomous agents.

Sidi Deng2026-06-16✓ Author reviewed ⓘ
🔭 astrophysics

Comprehensive Statistical Validation of TOI-7701.01: A Sub-Saturn Companion at the Giant Planet Boundary

This paper presents the formal statistical validation of TOI-7701.01, a sub-Saturn companion orbiting a bright F-type subgiant, by demonstrating through the \texttt{triceratops} Bayesian framework that its physical radius of approximately 7.9 R⊕7.9\,R_\oplus and a robust false positive probability of $0.00191$ confirm its planetary nature despite its location at the giant planet boundary.

Biel Escolà-Rodrigo2026-06-16✓ Author reviewed ⓘ
💬 NLP

LLM Judges Have Dark Current: A Psychometric Datasheet for LLM-as-a-Judge Evaluation

This paper introduces a "Judge Datasheet" protocol that treats LLM-as-a-judge systems as measurement instruments rather than simple scoring devices, proposing a psychometric framework to quantify specific biases like "dark current" and positional preference to ensure reliable evaluation before making downstream claims.

Hiroyasu Usami, Keisuke Hara, Ayato Tsuboi, Naohiko Matsuda2026-06-16✓ Author reviewed ⓘ