Research radar

arXiv preprints, filtered for developer impact.

Concise summaries of new AI papers, ranked for how likely they are to change how production systems are built. arXiv collection remains rate-limited.

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http://arxiv.org/abs/2608.24793v1

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Paper	Authors	arXiv ID	Categories	Published	Code	Radar	Summary
EMFE: A lightweight, explainable machine learning framework for malaria cell classification	Md Abdullah Al Kafi, Walayat Hussain, Mousumi Karmakar	http://arxiv.org/abs/2608.24793v1	cs.CV	Aug 25, 2026	None	RDR76	Automated malaria diagnosis from stained blood-smear microscopy is dominated by deep convolut...
SWE Refactor Bench: Can Coding Agents Complete a Long-Horizon, Whole-Repository Stack Migration?	Deyao Hong, Yizhe Chi, Wenyi Li	http://arxiv.org/abs/2608.23564v1	cs.CL, cs.AI	Aug 24, 2026	None	RDR86	Modern software systems accumulate technical debt over decades of development, which makes mi...
EG-ARSA: An Expert-Grounded Open Model for Visual Road Safety Auditing in Low-Resource Settings	Md Thamed Bin Zaman Chowdhury, Moazzem Hossain	http://arxiv.org/abs/2608.23563v1	cs.CV, cs.AI	Aug 24, 2026	None	RDR83	Road traffic injuries remain a major challenge in low- and middle-income countries, where pro...
EarthVerse: Benchmarking Scientific Agents Across Dynamic Earth Systems and Natural Hazards	Zhiqing Cui, Xinxiang Yin, Yihong Tang	http://arxiv.org/abs/2608.23525v1	cs.AI	Aug 24, 2026	None	RDR83	Earth-system analysis reconstructs changing physical processes from observations that differ...
Action-Aligned Retrieval with Pairwise Multimodal Reranking for Text-Based Person Anomaly Search	Thanh-Khoi Nguyen, Thanh-Nhan Vo, Trong-Thuan Nguyen	http://arxiv.org/abs/2608.23503v1	cs.CV	Aug 24, 2026	None	RDR85	Text-based person anomaly search requires distinguishing individuals based on fine-grained, c...
Mitigating Reasoning-Induced Misalignment via Safety-Direction Penalty	Yipeng Zhao, Qishun Yang, Shenzhe Zhu	http://arxiv.org/abs/2608.23497v1	cs.AI, cs.CL	Aug 24, 2026	None	RDR82	Reasoning-Induced Misalignment, where fine-tuning on reasoning data containing no harmful con...
From Regulation to Implementation: A Critical Evaluation of LLM-Assisted Regulatory Compliance in Industry	Adriana Watson, Marco Bücheler, Grant Richards	http://arxiv.org/abs/2608.21317v1	cs.AI	Aug 21, 2026	None	RDR84	The European Union (EU) has emerged as a leading regulatory body in the development of sustai...
Rethinking Expressivity and Efficiency in Test-Time Training	Zeyun Zhong, Joya Chen, Manuel Martin	http://arxiv.org/abs/2608.21308v1	cs.LG	Aug 21, 2026	Detected	RDR83	Test-Time Training (TTT) enables long-context processing via continuous weight updates during...
Robustness of Anomaly Detection Models for Industrial Control Systems under Training-Time Data Contamination	Mustafa Umut Ozbek, Taiwo Ojo, Pooria Madani	http://arxiv.org/abs/2608.23547v1	cs.CR, cs.LG	Aug 24, 2026	None	RDR83	Machine-learning-based anomaly detection is increasingly used in industrial control systems (...
GeoWAM: Visual Geometry World Action Models for Autonomous Driving	Yiren Lu, Xin Ye, Jiaming Liu	http://arxiv.org/abs/2608.23486v1	cs.CV, cs.RO	Aug 24, 2026	None	RDR81	World action models (WAMs) have recently gained increasing attention as a framework for joint...