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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1,260

1 arXiv sources

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http://arxiv.org/abs/2607.12896v1

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Paper	Authors	arXiv ID	Categories	Published	Code	Radar	Summary
PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation	Yuhang Wu, Shuxiang Zhang, Wee Hian Ching	http://arxiv.org/abs/2607.06440v1	cs.CV	Jul 7, 2026	None	RDR87	Recent text-to-image models such as DALLE-3 excel at following diverse prompts yet remain bli...
HoloCount: A Holistic Visual Counting Benchmark for MLLMs	Jinhong Deng, Limeng Qiao, Guanglu Wan	http://arxiv.org/abs/2607.06420v1	cs.CV	Jul 7, 2026	None	RDR87	Visual counting is a fundamental pillar of multimodal intelligence, requiring a seamless inte...
An Experimental Design Approach to Evaluating Agentic AI's Autonomous Model Discovery	Hao He, Xueying Liu, Chris J. Kuhlman	http://arxiv.org/abs/2607.06413v1	stat.ME, cs.AI	Jul 7, 2026	None	RDR84	Large language model coding agents increasingly perform open-ended data modeling and analysis...
RuBench: A Repository-Level Agentic Coding Benchmark with Natively Authored Russian Task Specifications	Evgeny Shilov	http://arxiv.org/abs/2607.06411v1	cs.SE, cs.AI	Jul 7, 2026	None	RDR87	Developers increasingly delegate real maintenance work to product-grade coding agents, and ma...
What Images Cannot Say: Language-Guided Olfactory Representation Learning	Eleftherios Tsonis, Xi Wang, Vicky Kalogeiton	http://arxiv.org/abs/2607.06402v1	cs.CV, cs.AI	Jul 7, 2026	None	RDR84	Images tell us what a scene looks like, but rarely what it would feel like to be there. While...
Relaxing Faithfulness with Intervention-Only Causal Discovery	Bijan Mazaheri, Jiaqi Zhang, Caroline Uhler	http://arxiv.org/abs/2607.11816v1	cs.LG, stat.ML	Jul 13, 2026	None	RDR64	Causal discovery algorithms learn a network that describes the causal dependencies among rand...
OpenLongTail: Generative Scaling of Long-Tail Driving Data	Lulin Liu, Nuo Chen, Yan Wang	http://arxiv.org/abs/2607.09655v1	cs.CV	Jul 10, 2026	None	RDR72	Scaling robust driving policies is fundamentally bottlenecked by the scarcity of edge cases i...
ConceptSMILE: Auditing the Trustworthiness of Concept-Based Explainable AI	Mohadeseh Mollapour, Koorosh Aslansefat, Zeinab Dehghani	http://arxiv.org/abs/2607.09649v1	cs.AI	Jul 10, 2026	None	RDR73	Concept-based explainable artificial intelligence (AI) can make model reasoning more human-un...
Score Accuracy Along the Forward Diffusion Does Not Certify Numerical Stability in Diffusion Sampling	Yiwei Zhou	http://arxiv.org/abs/2607.08757v1	stat.ML, cs.LG	Jul 9, 2026	None	RDR71	Score matching controls average error under the forward marginals, but a discretized reverse-...
Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems	Emmanouil Kavvousanos, Francky Catthoor, Vassilis Paliouras	http://arxiv.org/abs/2607.08717v1	cs.LG, eess.SP	Jul 9, 2026	None	RDR72	Narrowband interference (NBI) severely degrades orthogonal frequency-division multiplexing (O...