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

1,327

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
Distill to Detect: Exposing Stealth Biases in LLMs through Cartridge Distillation	Shayan Talaei, Abhinav Chinta, Devvrit Khatri	http://arxiv.org/abs/2607.01208v1	cs.CL, cs.AI	Jul 1, 2026	None	RDR65	Language models deployed in high-stakes roles can potentially favor certain entities, brands,...
World from Motion: Generative Dynamic Gaussian Reconstruction from Monocular Video	Liyuan Zhu, Shengyu Huang, Amrita Mazumdar	http://arxiv.org/abs/2607.01202v1	cs.CV, cs.AI	Jul 1, 2026	None	RDR77	We present World from Motion, a method for generating freely renderable dynamic 3D Gaussian r...
Optimal Resource Utilization for Autonomous Laboratory Orchestrators	Austin McDannald, Julia Tisaranni, Howie Joress	http://arxiv.org/abs/2607.01188v1	cs.AI, cond-mat.mtrl-sci	Jul 1, 2026	None	RDR64	In autonomous laboratories, AI agents suggest the next batch of experiments to do. However, p...
Introspective Coupling: Self-Explanation Training Tracks Behavioral Change Despite Fixed Supervision	Zifan Carl Guo, Laura Ruis, Jacob Andreas	http://arxiv.org/abs/2606.32038v1	cs.CL, cs.AI	Jun 30, 2026	None	RDR75	When does training language models (LMs) to generate explanations of their predictions yield...
Factor-Augmented Machine Learning Panel Regressions	Andrii Babii, Luca Barbaglia, Eric Ghysels	http://arxiv.org/abs/2607.06368v1	econ.EM, math.ST	Jul 7, 2026	None	RDR61	This paper develops the asymptotic theory for high-dimensional panel data regressions in sett...
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...
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...
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...