cs papers | Gist.Science

Algorithmic Penalty for Non-Native Voices: A Three-Arm Diagnostic Accuracy Audit of Five Commercial AI Text Detectors Against Pre-LLM Scientific Literature — Protocol for the AUDIT-AI Study

The AUDIT-AI study is a pre-registered, three-arm diagnostic accuracy audit designed to quantify whether commercial AI text detectors systematically misclassify long-form scientific literature from non-native English-speaking institutions as AI-generated compared to native-authored works and verified AI rewrites.

Adnan Agha, Eram Anwar2026-07-07

💻 computer science

Memory Mechanisms in Multivariate Time Series: A Survey of Architectures, Retrieval, and Evolution

This survey formalizes memory mechanisms in multivariate time series forecasting as interactions between retained states, access functions, and update functions, organizing recent literature into architecture, retrieval, and evolution categories to identify open challenges and propose a roadmap for designing auditable, adaptive forecasting systems.

Sibo Qi, Peng Chen, Wuman Luo2026-07-07

💻 computer science

Research on intelligent compression and quality enhancement of surveillance videos based on lightweight algorithms

This paper proposes a novel lightweight convolutional Transformer model utilizing multi-teacher hierarchical progressive knowledge distillation and directional compression to achieve effective surveillance video compression and quality enhancement while maintaining high accuracy and low memory consumption.

Junjie Zha, Aiguo Teng, Xinwen Shan, Jiaxin Lu, Jiajia Zhu, Zihan Liu2026-07-07

💻 computer science

PV-YOLO: Collaborative Lightweight Improved YOLOv8 for Micro-Defect Detection of Photovoltaic Cells in UAV Edge Inspection

This paper introduces PV-YOLO, a lightweight, collaborative improvement of YOLOv8n featuring four custom modules that significantly enhance micro-defect detection accuracy and recall on photovoltaic cells while reducing computational overhead, enabling real-time edge inspection at 140 FPS on UAVs.

Yufen Liu, Zhixiong Guo, Yutong Chen2026-07-07

💻 computer science

A Machine-Checked Cost Analysis of the BMSSP Recurrence in Isabelle/HOL With a Non-Vacuous Size-Parametric Runtime Witness

This paper presents the first machine-checked formalization in Isabelle/HOL of the BMSSP recurrence underlying the 2025 deterministic O(m log²/³ n) SSSP algorithm, providing a non-vacuous, size-parametric proof of its O(|V|·(ln|V|)²/³) runtime on an unbounded graph family without relying on axioms or unproven assumptions.

Arthur Ramos, David Hulak, Ruy de Queiroz2026-07-07

💻 computer science

Character Classification in Industrial Environments with Restricted Alphabets: A Comparative Evaluation of Deep Learning Architectures

This study demonstrates that EfficientNet-B0 outperforms other deep learning architectures, including Vision Transformers, in industrial character classification with restricted alphabets and scarce data, highlighting the continued advantage of convolutional inductive biases in such constrained environments.

Christian Lazo, Mirko Gueregat, Israel Díaz2026-07-07

💻 computer science

Clinical Equivalence of Privacy-Preserving Federated Learning: A Consortium Blockchain Framework with Equivalence Testing

This study demonstrates that a modular consortium blockchain framework integrating differential privacy, homomorphic encryption, and smart contracts achieves clinical equivalence to standard federated learning for hospital mortality and radiography tasks, proving that robust privacy and security measures do not compromise predictive utility.

Zakariae SAIDI, Ouidad Akhrif, Younes El Bouzekri El Idrissi2026-07-07

💻 computer science

Physics-informed graph learning of collapse distance in complex networks

This paper introduces "collapse distance," a configurable safety-margin metric for quantifying network failure proximity, and proposes TCR-GIN, a physics-informed graph learning framework that efficiently and accurately estimates this metric to enable real-time safety management and early-warning signals across diverse complex networks.

Xin Lu, Jie Zhang, Tao Wang, Yatai Ji, Hua He, Zhengqiu Zhu, Bo-quan Zhang, Xin Zhou, Changjun Fan, Bin Chen, Manlio De (…)2026-07-07

💻 computer science

AVTF-Net: Attention-Guided Visual–Textual Fusion with AlexNet and BERT for Multimodal Fake News Detection

This paper proposes AVTF-Net, a multimodal deep learning framework that integrates a modified AlexNet and fine-tuned BERT with an early fusion and attention mechanism to effectively detect fake news by capturing cross-modal inconsistencies, achieving state-of-the-art performance with 95.80% accuracy on the Fakeddit dataset.

Asad Ur Rehman2026-07-07

💻 computer science

Diacritic-Aware Post-OCR Correction for Vietnamese Scanned Documents: A Lightweight Baseline for Low-Quality Document Digitization

This paper proposes a lightweight, resource-efficient post-OCR correction pipeline specifically designed to improve the accuracy of Vietnamese scanned documents by addressing diacritic errors through a combination of image preprocessing, dictionary-based correction, and rule-based restoration, offering a practical baseline for low-resource digitization scenarios.

Nguyễn Tuệ An, Trần Thị Lan2026-07-07

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