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.

1336 papers reviewed by authors · 461–470 / 1336

🧬 biology

Deciphering the Language of Nature: A transformer-based language model for deleterious mutations in proteins

The paper introduces MutFormer, a transformer-based model that combines self-attention and convolutional layers to predict deleterious missense mutations in human proteins, demonstrating performance comparable to or better than existing tools by effectively capturing both short-range and long-range sequence dependencies.

Theodore Jiang, Li Fang, Kai Wang2026-07-15✓ Author reviewed ⓘ
🔬 materials science

Plastic Work Partitioning During Slip- and Twinning-Dominated Deformation in AZ31B Magnesium Alloy

This study reveals that in extruded AZ31B magnesium alloy, the partitioning of plastic work between heat dissipation and energy storage is fundamentally governed by the active deformation mechanism, with slip-dominated deformation dissipating approximately half the energy as heat while twinning-dominated deformation initially stores most energy to drive rapid strain hardening and early localization.

Michał Maj, Sandra Musiał, Marcin Nowak2026-07-14✓ Author reviewed ⓘ
⚛️ general relativity

Evading the CMB μμ-distortion bound on Supermassive Primordial Black Hole seeds with Non-Gaussian tails

This paper demonstrates that the CMB μ\mu-distortion bound, which typically precludes the formation of supermassive primordial black hole seeds via Gaussian perturbations, can be evaded by invoking non-Gaussian probability distribution tails—specifically power-law or sufficiently heavy log-normal shapes—that decouple the small-scale variance from the collapse probability.

Sanket Dave, Sheng-Feng Yan, Amara Ilyas, Yi-Fu Cai2026-07-14✓ Author reviewed ⓘ
🔭 astrophysics

The recent crossing of the 7:3 resonance between Ganymede and Callisto

Numerical simulations suggest that Ganymede and Callisto recently crossed their 7:3 mean motion resonance approximately two million years ago without being captured, a process that reduced their orbital eccentricities, increased the amplitude of the Laplace resonant angle's libration, and was likely followed by a three-body resonance crossing among the outer moons within the last few tens of thousands of years.

Giacomo Lari, Mattia Rossi2026-07-14✓ Author reviewed ⓘ
📊 statistics

Graph statistics: An emerging discipline in non-Euclidean data analysis

This paper introduces graph statistics as a transformative new discipline for analyzing non-Euclidean data by integrating evolutionary game theory, ecological niche theory, topological data analysis, and graph theory into a quasi-dynamic nonlinear framework, thereby offering a principled approach to revolutionize fields ranging from systems biology to artificial intelligence.

Rongling Wu, Shing-Tung Yau2026-07-14✓ Author reviewed ⓘ
⚛️ general relativity

Perturbative aspects of analogue FLRW spacetime Jellium models

This paper investigates electro-acoustic perturbative modes in expanding FLRW Jellium models by providing novel analytic solutions and numerical evaluations of their linear and nonlinear evolution, while introducing a scale-dependent power spectrum to bridge theoretical predictions with experimental observations.

Matheus E. Pereira, Hermano Velten, Francisco B. Lustosa, Alexandre G. M. Schmidt2026-07-14✓ Author reviewed ⓘ
📄 social science

From Pitch to Boardroom: Sport, Nurture and the Origins of Successful Female Leaders (Findings from the UK ‘Origins’ Study)

This mixed-methods study of 41 UK female leaders reveals that successful boardroom leadership is fundamentally rooted in a "nurtured leadership" ecosystem where early participation in team sports, supportive family environments, and educational opportunities collectively cultivate the resilience, accountability, and visionary capabilities necessary for executive success, challenging traditional credential-based models of leadership development.

Vicky Brook, Dr Araby Madbouly, Dr Uvesh Husain2026-07-14✓ Author reviewed ⓘ
🤖 machine learning

What Context Does a Coding Agent Actually Need to Act?

This paper demonstrates that for coding agents editing code, the essential context is strictly limited to the specific files being modified, as natural language summaries and surrounding file content contribute negligibly to issue resolution compared to the source code itself, while also revealing a significant noise floor in benchmark results caused by non-deterministic API inference.

Brian Sam-Bodden2026-07-14✓ Author reviewed ⓘ
💰 quantitative finance

Learning Predictive Ambiguity Sets for Decision-Focused Distributionally Robust Optimization

This paper proposes Learned Predictive Ambiguity Sets (LPAS), a deep contextual framework that adaptively learns state-dependent Wasserstein radii and nominal distributions to enhance Distributionally Robust Optimization, demonstrating superior performance and reduced conservatism in portfolio optimization compared to traditional fixed-radius baselines.

Junjie Guo2026-07-14✓ Author reviewed ⓘ