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 · 161–170 / 1335

💰 quantitative finance

VertiFuseX: Generalizable Financial Forecasting via Multi-Stream Temporal Fusion

VertiFuseX is a lightweight, hybrid LSTM architecture that achieves superior generalization and accuracy in financial forecasting by employing a novel penultimate-layer vertical fusion of multi-scale temporal representations, significantly outperforming existing baselines across diverse global markets while maintaining deployment-ready efficiency.

Aashish Bohra, Vivek Vijay2026-09-14✓ Author reviewed ⓘ
⚛️ phenomenology

Comprehensive study of spectroscopic properties of D(s)D_{(s)} mesons

This study employs a nonrelativistic quark-antiquark potential model with a Cornell potential and Gaussian spin-spin interaction to successfully reproduce the masses and spectroscopic properties of DD and DsD_s mesons, extract consistent HQET couplings, identify specific Regge trajectory assignments for high-mass states, and provide evidence suggesting the exotic nature of the Ds0∗(2317)D_{s0}^*(2317) meson.

Janki. J. Patel, Dhaval Achary, Dhruvesh Maiya, Keval Gandhi, Nakul R. Soni, Jignesh N. Pandya2026-09-14✓ Author reviewed ⓘ
🧬 biology

Spike-Based Adaptation of EEG Foundation Models for Calibration Efficient Cross-Subject Brain-Computer Interfaces

This paper proposes a spike-based adaptation framework that integrates a pretrained EEG foundation model with a lightweight neuromorphic module to achieve calibration-efficient, resource-aware cross-subject brain-computer interfaces, significantly reducing adaptation time and parameters while maintaining high accuracy across diverse EEG tasks and datasets.

Mohammad Alam2026-09-14✓ Author reviewed ⓘ
⚡ electrical engineering

Physics-guided explainable machine learning and uncertainty quantification for predicting unconfined compressive strength of nano shale–quicklime stabilized kaolin clay

This study proposes a physics-guided, explainable machine learning framework using an optimized CatBoost model to accurately predict the unconfined compressive strength of nano shale–quicklime stabilized kaolin clay while quantifying uncertainties and identifying key physical drivers like plasticity and curing interactions.

Arash Aminaee, Abolfazl Soltani, Abolfazl Baghbani, Parisa Salehan, Hossam Abuel-Naga, Pijush Samui2026-09-12✓ Author reviewed ⓘ
🔭 astrophysics

Planetary Accretion Is Less Frequent in Wide Binaries: Evidence from Metal-Enriched White Dwarfs in DESI DR1

Using DESI DR1 data, this study reveals that wide binary systems host significantly fewer metal-enriched white dwarfs than single stars, suggesting that stellar binarity either suppresses the initial formation of planetary reservoirs or accelerates the depletion of planetary material.

Siyi Xu, Laura. K. Rogers, Joan Najita, Boris T. Gänsicke, Paula Izquierdo, Sergey E. Koposov, Christopher J. Manser, An (…)2026-09-11✓ Author reviewed ⓘ
📄 earth science

Restorative Mitigation of Contaminated Soil for Ecosystem Services: Influences from Research Enterprise and Sustainable Development Goals

This study presents a unified systems-based framework linking pesticide and heavy metal contamination to soil process disruption and ecosystem service decline, evaluating restorative mitigation strategies within the context of Sustainable Development Goals to guide systemic transformation in agricultural practices, governance, and research.

Isak Rajjak Shaikh, Parveen Rajjak Shaikh2026-09-11✓ Author reviewed ⓘ
💻 computer science

From Specs to Apps: Verifying and Monitoring Models of Signal and WhatsApp

This paper bridges the gap between formal protocol specifications and real-world implementations by using the SpecMon runtime monitor to verify that observed executions of WhatsApp Web and Signal Desktop conform to newly developed Tamarin-compatible models, thereby confirming security properties and uncovering undocumented differences between the applications.

Moustafa Said, Aurora Naska, Kevin Morio, Robert Künnemann2026-09-11✓ Author reviewed ⓘ
💻 bioinformatics

Inverse FoldDir: Structure-conditioned Protein Sequence Design by Dirichlet Flow Matching

The paper introduces Inverse FoldDir, a controllable inverse-folding method based on Dirichlet flow matching that generates diverse, experimentally validated protein sequences with user-defined constraints by performing iterative denoising on the amino acid probability simplex, achieving state-of-the-art structural recovery metrics and successful functional redesign of an anti-GFP nanobody.

TARTICI, A., Stojkovic, M., Tian, A., Jewett, M. C., Altman, R. B., Wittmann, B. J.2026-09-11✓ Author reviewed ⓘ
💻 computer science

Stationarity is not enough: tightness of the quantum mechanical bootstrap and the copositive cone

An exactly certified counterexample shows that the stationary quantum bootstrap is not tight in two dimensions: a candidate satisfying every stationary constraint, with a strictly positive moment matrix, assigns a negative value to a polynomial that is non-negative everywhere. Adding the eigenstate constraints removes the violation in every setting tested, apparently by bounding the momentum directions the stationary relaxation leaves free. A related gap in the underlying matrix cones first opens at five variables.

Daniel Keren2026-09-10✓ Author reviewed ⓘ