✓ 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.

948 papers reviewed by authors · 51–60 / 948

💻 computer science

DeepSeek for Pathology Report Understanding: A Benchmark Study of Cancer Type Extraction, AJCC Staging, and Prognosis Prediction

This benchmark study demonstrates that while DeepSeek models effectively extract cancer types and predict AJCC stages from 952 unstructured pathology reports, DeepSeek-extracted structured variables did not significantly improve prognosis prediction under the evaluated framework compared with using the original pathology report text directly, supporting a hybrid architecture that leverages DeepSeek for information extraction and staging while relying on traditional machine learning for outcome modeling.

Mohamed Kone, Gaoussou Haidara, Chao Hou, Shulin Wang2026-07-17✓ Author reviewed ⓘ
🔬 physics

Generation of bright quantum high-order harmonic driven by combined coherent and bright squeezed vacuum light

This study demonstrates that combining strong coherent and weak bright squeezed vacuum lasers to drive high-order harmonic generation in atomic gas enables the creation of bright quantum high-order harmonics, where macroscopic propagation effects and gas pressure modulate the phase and quantum properties of the resulting attosecond bursts, paving the way for attosecond quantum spectroscopy.

Sizuo Luo, Wentao Wang, Yaoshun Sun, Liyuan Wang, Lingrui Hu, Dajun Ding, Xiangyu Tang, Mingxuan Li, Jianmin Yuan2026-07-17✓ Author reviewed ⓘ
🌀 nonlinear sciences

Redefining Fitness: Inference, Information and Phase Transitions in Evolutionary Dynamics

This paper resolves fundamental issues in evolutionary theory by redefining fitness as a Bayesian likelihood, demonstrating that natural selection acts to maximize the mutual information between population structure and environmental statistics, thereby establishing information maximization as the governing principle of evolution.

Luís MA Bettencourt, Brandon J Grandison, Jordan T Kemp2026-07-16✓ Author reviewed ⓘ
🧬 biology

Pathway-Informed Stratification of Major Depression: Links to NMN-Rescued Aging Programs in Mitochondrial Metabolism and Trafficking

This study proposes a pathway-informed stratification of major depression by demonstrating that symptom-specific genetic liabilities converge on mitochondrial metabolism and trafficking pathways previously linked to NMN-rescued aging programs, thereby supporting a biologically distinct dimensional model of the disorder.

Ngo Cheung2026-07-16✓ Author reviewed ⓘ
🤖 AI

Rethinking Penetration Testing for AI-Enabled Systems: From Resource Compromise to Behavioral Objective Violation

This paper proposes a new framework for penetration testing AI-enabled systems that shifts the focus from traditional infrastructure compromise to evaluating whether adversaries can induce behavioral violations of operational objectives through various influence pathways like prompt injection and data poisoning.

Mohammad Allahbakhsh, Mohammad Hassan Bahari, Moslem Attar-Raouf2026-07-16✓ Author reviewed ⓘ
⚡ electrical engineering

Physics-Driven Hierarchical Cascade Surrogate for Compositional Simulation of Geological CO2 and H2S Storage

This study introduces the Hierarchical Cascade Surrogate for CO2 Storage (HCS-CO2S), a physics-driven machine learning model that accurately predicts the full compositional state of reservoir fluids over centennial timescales by decomposing the prediction task into five causally ordered levels to suppress error accumulation in blind forecasts.

Stepan Zainulin, Anna Storozheva2026-07-16✓ Author reviewed ⓘ
🧬 biology

RAcolony: A Multimodal Platform Integrating Raman Spectroscopy and Automated Imaging for Efficient Construction of Personalized Gut Microbiome Biobanks

The authors present RAcolony, an intelligent, high-throughput platform that integrates Raman spectroscopy with automated imaging to efficiently construct personalized gut microbiome biobanks by significantly reducing redundancy and capturing high-resolution microbial diversity, including novel taxa.

Yang Yan, He Jiang, Jian-Bo Ma, Min-Zhi Jiang, Chen Chen, Zi-Nuo An, Xin-Yao Li, Guozhong Chen, Xiao-Yang Zhu, Tian-Yu L (…)2026-07-16✓ Author reviewed ⓘ
🧬 biology

Soft Actor-Critic Control of a Behaviorally Heterogeneous S1S2IR Epidemic Model: Stability, Bifurcation, and COVID-19 Calibration

This paper proposes a Soft Actor-Critic reinforcement learning framework integrated with a behaviorally heterogeneous S1S2IR epidemic model to dynamically optimize intervention strategies, demonstrating through COVID-19 calibration that it effectively reduces infection peaks and costs compared to static policies.

Milad tahavor, Davron Makhmudov, Mohammad Mehdipour Zarrinkamar, Hossein Hosseini, Reza Memarbashi2026-07-16✓ Author reviewed ⓘ