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
WildSplat: Feedforward Gaussian Splatting from Unposed In-the-Wild Images	Xiyu Zhang, Jingyu Zhuang, Hongjia Zhai	http://arxiv.org/abs/2607.05347v1	cs.CV	Jul 6, 2026	None	RDR60	While feedforward 3D reconstruction excels at efficient novel view synthesis, it typically fa...
G-RRM: Guiding Symbolic Solvers with Recurrent Reasoning Models	Timo Bertram, Sidhant Bhavnani, Richard Freinschlag	http://arxiv.org/abs/2607.02491v1	cs.AI	Jul 2, 2026	None	RDR61	In this work, we focus on SE-RRMs, a symbol-equivariant instantiation of RRMs that exhibits i...
The State-Prediction Separation Hypothesis	Giovanni Monea, Nathan Godey, Kianté Brantley	http://arxiv.org/abs/2607.01218v1	cs.CL, cs.AI	Jul 1, 2026	None	RDR66	Transformers use the same forward computation stream to both predict the next token and store...
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...
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...
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...