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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http://arxiv.org/abs/2610.13889v1
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PaperAuthorsarXiv IDCategoriesPublishedCodeRadarSummary
RATED: Reliability-Aware AI Agent Tool Retrieval via Execution DynamicsWeiliang Chen, Song Liaohttp://arxiv.org/abs/2610.13889v1cs.AI, cs.IROct 9, 2026DetectedScore85As AI agents increasingly rely on external tools, accurate retrieval is essential for reliabl...
Can Language Models Play the Wikipedia Game?Alexander Hickey, Joanna Knight, James Bishophttp://arxiv.org/abs/2610.13948v1cs.AI, cs.IROct 9, 2026NoneScore85Language models increasingly support or automate information retrieval from document collecti...
RSI-Anything: Unlocking Recursive Self-Improvement with World ModelsTaoyong Cui, Pinxian Zeng, Wanghan Xuhttp://arxiv.org/abs/2610.13912v1cs.CLOct 9, 2026NoneScore82Recursive self-improvement (RSI) aims to transform interaction experience into persistent imp...
Revisiting Tabular Deep Regression: Objectives and the Limits of Global Early StoppingDanil Rudenko, Georgii Bulgakov, Nikolay Kartashevhttp://arxiv.org/abs/2610.13909v1cs.LG, cs.AIOct 9, 2026DetectedScore85While deep learning models for tabular data have recently received significant research atten...
Images Talk Back: Guiding MMDiTs by Suppressing Image-to-Text FeedbackYucheng Yang, Xiaoxiao Sun, Shusheng Yanghttp://arxiv.org/abs/2610.13941v1cs.CVOct 9, 2026DetectedScore84Multimodal diffusion transformers (MMDiTs) allow the evolving image to update internal text r...
When VLMs Destroy What They Know: Spatial Representations Fall Below Lexical PriorsShubh Garg, Chen Shanihttp://arxiv.org/abs/2610.13910v1cs.CLOct 9, 2026NoneScore85Vision-Language Models (VLMs) increasingly analyze and reason about images, yet it remains un...
Towards Physically Grounded Articulated 3D Assets: A Multi-Agent Pipeline and BenchmarkXudong Cai, Ruijie Zhu, Haoliang Shanghttp://arxiv.org/abs/2610.13947v1cs.CVOct 9, 2026NoneScore78In this paper, we study physically grounded articulated 3D asset generation---moving the goal...
X-AgentRed: Red-Teaming Personal Agents in Evolving Multi-Service EcosystemsYeonsung Jung, Zhiyuan Wang, Zifan Wanghttp://arxiv.org/abs/2610.13886v1cs.AIOct 9, 2026NoneScore73Personal agents increasingly connect to services across the web and applications by using too...
Can machines reason non-verbally?Shaheer U. Saeed, Zion Tse, Gregory Slabaughhttp://arxiv.org/abs/2610.13925v1cs.CVOct 9, 2026NoneScore78Modern machines can solve equations, follow logic and reason through language, yet they still...
Beyond the Snowflakes: Disentangling Weather Effects from Confounding Meta-Factors in LiDAR Object DetectionYiming Yang, Jeremy P. Boshttp://arxiv.org/abs/2610.13891v1cs.CV, cs.ROOct 9, 2026NoneScore79Light Detection and Ranging (LiDAR) is critical for autonomous perception, yet its performanc...