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 · 291–300 / 1335

💻 computer science

Cross-Stack Validation of Language-Model Training: A Clinical Fine-Tuning Case Study

This paper demonstrates that independently implemented training stacks, specifically PyTorch and a Zig-based framework called numbat, can serve as effective differential oracles to validate large-scale clinical language model fine-tuning, successfully uncovering 17 previously missed faults—including critical data rendering mismatches and language-specific memory management issues—that single-stack development overlooked.

Thang Tran (CloudKites AI Lab), Lan Dang (Monash Business School, Monash University)2026-08-26✓ Author reviewed ⓘ
📄 chemistry

Conceptual Design of Corrugated Helical Spherical Zeolite Pellets for Improving Hydraulic Conductivity and Phosphate Removal

This study demonstrates that corrugated helical zeolite pellets significantly outperform conventional smooth spherical pellets by increasing hydraulic conductivity by 55%, reducing pressure drop by 35%, and improving phosphate removal efficiency by 25% through geometric optimization alone.

Mary Ann Del Mundo, Agnes Filomena Wark, Albert Jubilo2026-08-26✓ Author reviewed ⓘ
📄 bioengineering

A rapidly deployable CRISPR-Cas3 diagnostic platform for emerging RNA viruses

The paper introduces CONAN-SWIFT, a rapidly deployable platform that integrates computational design, RT-LAMP amplification, and CRISPR-Cas3 detection to enable sensitive, portable diagnosis of emerging RNA viruses within approximately three weeks of sequence availability.

Nakamura, J., Miyazaki, K., Torii, S., Kitajima, M., Mikamo, K., Kimihira, T., Morimoto, L., Ashayqa, H., Ito, J., Takes (…)2026-08-26✓ Author reviewed ⓘ
🤖 machine learning

What actually runs: a measurement study of language model placement and decode speed on the Apple Neural Engine

Through a rigorous measurement study of language model placement and decode speed on the Apple Neural Engine, the author demonstrates that computational expression and weight encoding, rather than model architecture alone, dictate accelerator residency and performance, leading to a design procedure that prioritizes encoding efficiency to achieve significantly smaller and faster ternary models.

Shahir M A2026-08-25✓ Author reviewed ⓘ
💬 NLP

WARP: Wasserstein-Aligned RAG for Population Opinions

The paper introduces WARP, a post-retrieval algorithm that improves the representation of population opinions in RAG systems by recovering underrepresented views and selecting documents using Wasserstein-1 distance to align sentiment distributions with population targets, thereby significantly reducing distributional error and generating more accurate consensus summaries.

Aman Singh Thakur, Aditya Agrawal, Alwarappan Nakkiran, Alex Karlsson2026-08-25✓ Author reviewed ⓘ
⚡ electrical engineering

Multi-Criteria Seismic Vulnerability Assessment of Healthcare Facilities using Fuzzy C- Means Clustering in Cox's Bazar

This study employs Fuzzy C-Means clustering within a GIS framework to assess the seismic vulnerability and accessibility of 184 healthcare facilities in Cox's Bazar, Bangladesh, revealing that while hazard levels are low in the most critical areas, a multi-criteria analysis uncovers a significant capacity mismatch for facilities serving the Rohingya refugee population that would be overlooked by hazard-only assessments.

H M Taseen Jubair Bhuiyan, Shahina Akter, KM Azam Chowdhury, MD. Humayan Kabir2026-08-25✓ Author reviewed ⓘ