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.

Papers tracked

1,230

1 arXiv sources

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http://arxiv.org/abs/2607.11862v1

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Paper	Authors	arXiv ID	Categories	Published	Code	Radar	Summary
Evaluating RE Practices for Explainability: Synthesizing Insights from Daimler Truck into an Explainable RE Framework Proposal	Umm-e- Habiba, Lucas Mauser, Jonas Fritzsch	http://arxiv.org/abs/2607.11771v1	cs.SE, cs.AI	Jul 13, 2026	None	RDR74	Explainability has emerged as a critical requirement for AI-based systems, particularly in sa...
Input-Aware Dynamic Backdoor Attack Against Quantum Neural Networks	Junrui Zhang, Zemin Chen, Lusi Li	http://arxiv.org/abs/2607.11843v1	quant-ph, cs.LG	Jul 13, 2026	None	RDR66	Quantum Neural Networks (QNNs) are a promising framework for quantum machine learning on near...
From Global to Factor-Wise Expert Composition in Discrete Diffusion Models	Haozhe Huang, Yudong Xu, Abhijoy Mandal	http://arxiv.org/abs/2607.11758v1	cs.LG	Jul 13, 2026	None	RDR73	Discrete diffusion models offer a powerful framework for solving complex reasoning tasks, par...
Introducing Human-Centeredness in AI-Assisted Lexicography	Antonio San Martin, Catherine Trekker	http://arxiv.org/abs/2607.11808v1	cs.CL, cs.AI	Jul 13, 2026	None	RDR74	This paper proposes a human-centered artificial intelligence (HCAI) framework for AI-assisted...
Forgetting Our Way to Shared Meaning: Effects of Forgetting on Conceptual Alignment in a Non-Partnership Coordination Game	Landon Liu, Mary Kelly, Alan Tsang	http://arxiv.org/abs/2607.11787v1	cs.MA, cs.CL	Jul 13, 2026	None	RDR65	Shared meaning in language requires people to learn and agree on categories. We ask how chara...
From Expressivity to Sample Complexity: Narrow Teachers for Transformers via C-RASP	Michael Rizvi-Martel, Satwik Bhattamishra, Guillaume Rabusseau	http://arxiv.org/abs/2607.11760v1	cs.LG, cs.CL	Jul 13, 2026	None	RDR66	A theoretical understanding of Transformers is crucial to better understand the capacities an...
Wat3R: Underwater 3D Geometry Learning without Annotations	Jiangwei Ren, Xingyu Jiang, Zijie Song	http://arxiv.org/abs/2607.08772v1	cs.CV	Jul 9, 2026	Detected	RDR82	Estimating 3D geometry in underwater environments presents unique challenges due to light att...
UniClawBench: A Universal Benchmark for Proactive Agents on Real-World Tasks	Zhekai Chen, Chengqi Duan, Kaiyue Sun	http://arxiv.org/abs/2607.08768v1	cs.CL	Jul 9, 2026	Detected	RDR84	The rapid development of large language models and multimodal large language models has accel...
From Noisy Traces to Root Causes: Structural Trajectory Analysis and Causal Extraction for Agent Optimization	Ying Chang, Jiahang Xu, Xuan Feng	http://arxiv.org/abs/2607.07702v1	cs.CL	Jul 8, 2026	Detected	RDR86	The optimization of long-horizon agents increasingly relies on reflection-based mechanisms, w...
Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning	Zhen Li, Gang Cao, Tian Zhang	http://arxiv.org/abs/2607.06354v1	cs.CV, cs.CR	Jul 7, 2026	Detected	RDR83	The rapid advancement of large-scale generative models has accelerated the spread of highly d...