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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1,289

1 arXiv sources

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http://arxiv.org/abs/2607.13027v1

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Paper	Authors	arXiv ID	Categories	Published	Code	Radar	Summary
Physics-Informed Neural Embeddings of PDE Solution Families	Raul Jimenez, Svitlana Mayboroda, Pavlos Protopapas	http://arxiv.org/abs/2607.06348v1	cs.LG, math.NA	Jul 7, 2026	None	RDR75	We introduce a physics-informed framework for learning finite-dimensional embeddings of solut...
TabPack: Efficient Hyperparameter Ensembles for Tabular Deep Learning	Yury Gorishniy, Akim Kotelnikov, Ivan Rubachev	http://arxiv.org/abs/2607.05380v1	cs.LG	Jul 6, 2026	None	RDR74	In deep learning for tabular data, efficient ensembles of multilayer perceptrons (MLPs) have...
WristMimic: Full-Body Humanoid Control with Wrist-Guided Manipulation	Wongyun Yu, Youngwoon Kim, Minsu Cho	http://arxiv.org/abs/2607.06438v1	cs.RO, cs.CV	Jul 7, 2026	None	RDR69	Retargeting human object interaction demonstrations to physics based simulation requires repr...
Feature Learning for the High Dimensional Stationary Schödinger Equation with Deep Ritz Method	Yao Yao, Yulong Lu, Gilad Lerman	http://arxiv.org/abs/2607.06369v1	math.OC, stat.ML	Jul 7, 2026	None	RDR61	This paper investigates feature learning within the framework of the deep Ritz method for sol...
Rethinking Indic AI from a Lens of Cultural Heritage Preservation	Aparna Madva, Sharath Srivatsa, Srinath Srinivasa	http://arxiv.org/abs/2607.06544v1	cs.AI, cs.CL	Jul 7, 2026	None	RDR64	As Artificial Intelligence (AI) makes inroads into different parts of the Indian subcontinent...
Pitwall: Faithful Natural-Language Race-Strategy Briefings from a Calibrated Real-Time Monte Carlo Engine	Juan S. Santillana	http://arxiv.org/abs/2607.06495v1	cs.CL, cs.AI	Jul 7, 2026	None	RDR64	Live sports commentary is grounded generation under a deadline: statements concern real, name...
A Definition and Roadmap for World Models	Xinyuan Chen, Haoyu Guo, Shi Guo	http://arxiv.org/abs/2607.06401v1	cs.AI	Jul 7, 2026	None	RDR64	World models -- internal simulators that learn the structure and dynamics of an environment -...
A Function-Space Dichotomy for Compositional Learning: Exponential Sub-Optimality of the Neural Tangent Kernel	Arkaprabha Ganguli, Emil Constantinescu	http://arxiv.org/abs/2607.06382v1	stat.ML, cs.LG	Jul 7, 2026	None	RDR65	A persistent empirical observation is that trained neural networks outperform their neural ta...
SynCity 3000: Bootstrapping Scene-Scale 3D Diffusion	Paul Engstler, Iro Laina, Christian Rupprecht	http://arxiv.org/abs/2607.05392v1	cs.CV	Jul 6, 2026	None	RDR60	We present SynCity 3000, a framework for generating 3D scenes that are globally coherent whil...
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...