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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1,327

1 arXiv sources

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http://arxiv.org/abs/2607.13941v1

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Paper	Authors	arXiv ID	Categories	Published	Code	Radar	Summary
Structured 4D Latent Predictive Model for Robot Planning	Zhiyi Li, Peilin Wu, Xiaoshen Han	http://arxiv.org/abs/2607.01166v1	cs.RO, cs.CV	Jul 1, 2026	None	RDR73	Video predictive models are emerging as a powerful paradigm in robotics, offering a promising...
GEAR: Guided End-to-End AutoRegression for Image Synthesis	Bin Lin, Zheyuan Liu, Chenguo Lin	http://arxiv.org/abs/2606.32039v1	cs.CV	Jun 30, 2026	None	RDR71	Visual generative models are typically trained in two stages. A tokenizer is first trained fo...
Freeform Preference Learning for Robotic Manipulation	Marcel Torne, Anubha Mahajan, Abhijnya Bhat	http://arxiv.org/abs/2606.32027v1	cs.RO, cs.AI	Jun 30, 2026	None	RDR78	Reward design remains a central bottleneck for autonomous robot policy improvement, especiall...
SemRF: A Semantic Reference Frame for Residual-Stream Dynamics in Language Models	Jian Gu, Aldeida Aleti, Chunyang Chen	http://arxiv.org/abs/2606.32022v1	cs.LG, cs.CL	Jun 30, 2026	None	RDR64	Residual-stream analysis asks how language-model computation evolves across depth, but interm...
Automated Background Swapping for Robustness against Spurious Backgrounds	Cesar Roder, Kajetan Schweighofer	http://arxiv.org/abs/2606.32018v1	cs.CV, cs.LG	Jun 30, 2026	None	RDR74	Classifiers based on Deep Neural Networks exhibit strong performance across domains, yet can...
GPU-Parallel Linearization Error Bounds for Real-Time Robust Optimal Control of Nonlinear and Neural Network Dynamics	Jeffrey Fang, Keyi Shen, Anutam Srinivasan	http://arxiv.org/abs/2607.01203v1	eess.SY, cs.AI	Jul 1, 2026	None	RDR64	This paper studies real-time robust optimal control for uncertain nonlinear systems, where li...
Decision-Aware Training for Sample-Based Generative Models	Kornelius Raeth, Nicole Ludwig	http://arxiv.org/abs/2607.01171v1	cs.LG, stat.ML	Jul 1, 2026	None	RDR64	Sample-based generative models are increasingly used for probabilistic forecasting in high-st...
AdaJEPA: An Adaptive Latent World Model	Ying Wang, Oumayma Bounou, Yann LeCun	http://arxiv.org/abs/2606.32026v1	cs.LG, cs.AI	Jun 30, 2026	None	RDR64	Latent world models enable planning from high-dimensional observations by predicting future s...
Random Reshuffling Dominates Stochastic Gradient Descent	Zijian Liu	http://arxiv.org/abs/2606.32005v1	math.OC, cs.LG	Jun 30, 2026	None	RDR74	Stochastic Gradient Descent ($\textsf{SGD}$) is one of the most classical optimization algori...
Neural Certificate Pricing for Combinatorial Optimization Problems	Jingyi Chen, Xinyuan Zhang, Xinwu Qian	http://arxiv.org/abs/2607.01185v1	cs.LG	Jul 1, 2026	None	RDR63	Combinatorial optimization (CO) problems are difficult because certifiable discrete structure...