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
3,367
matching records
Shown
10
current page
Top radar
85
http://arxiv.org/abs/2610.13889v1
Code links
3
on this page
| Paper | Authors | arXiv ID | Categories | Published | Code | Radar | Summary |
|---|---|---|---|---|---|---|---|
| RATED: Reliability-Aware AI Agent Tool Retrieval via Execution Dynamics | Weiliang Chen, Song Liao | http://arxiv.org/abs/2610.13889v1 | cs.AI, cs.IR | Oct 9, 2026 | Detected | Score85 | As 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 Bishop | http://arxiv.org/abs/2610.13948v1 | cs.AI, cs.IR | Oct 9, 2026 | None | Score85 | Language models increasingly support or automate information retrieval from document collecti... |
| RSI-Anything: Unlocking Recursive Self-Improvement with World Models | Taoyong Cui, Pinxian Zeng, Wanghan Xu | http://arxiv.org/abs/2610.13912v1 | cs.CL | Oct 9, 2026 | None | Score82 | Recursive self-improvement (RSI) aims to transform interaction experience into persistent imp... |
| Revisiting Tabular Deep Regression: Objectives and the Limits of Global Early Stopping | Danil Rudenko, Georgii Bulgakov, Nikolay Kartashev | http://arxiv.org/abs/2610.13909v1 | cs.LG, cs.AI | Oct 9, 2026 | Detected | Score85 | While deep learning models for tabular data have recently received significant research atten... |
| Images Talk Back: Guiding MMDiTs by Suppressing Image-to-Text Feedback | Yucheng Yang, Xiaoxiao Sun, Shusheng Yang | http://arxiv.org/abs/2610.13941v1 | cs.CV | Oct 9, 2026 | Detected | Score84 | Multimodal diffusion transformers (MMDiTs) allow the evolving image to update internal text r... |
| When VLMs Destroy What They Know: Spatial Representations Fall Below Lexical Priors | Shubh Garg, Chen Shani | http://arxiv.org/abs/2610.13910v1 | cs.CL | Oct 9, 2026 | None | Score85 | Vision-Language Models (VLMs) increasingly analyze and reason about images, yet it remains un... |
| Towards Physically Grounded Articulated 3D Assets: A Multi-Agent Pipeline and Benchmark | Xudong Cai, Ruijie Zhu, Haoliang Shang | http://arxiv.org/abs/2610.13947v1 | cs.CV | Oct 9, 2026 | None | Score78 | In this paper, we study physically grounded articulated 3D asset generation---moving the goal... |
| X-AgentRed: Red-Teaming Personal Agents in Evolving Multi-Service Ecosystems | Yeonsung Jung, Zhiyuan Wang, Zifan Wang | http://arxiv.org/abs/2610.13886v1 | cs.AI | Oct 9, 2026 | None | Score73 | Personal agents increasingly connect to services across the web and applications by using too... |
| Can machines reason non-verbally? | Shaheer U. Saeed, Zion Tse, Gregory Slabaugh | http://arxiv.org/abs/2610.13925v1 | cs.CV | Oct 9, 2026 | None | Score78 | Modern 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 Detection | Yiming Yang, Jeremy P. Bos | http://arxiv.org/abs/2610.13891v1 | cs.CV, cs.RO | Oct 9, 2026 | None | Score79 | Light Detection and Ranging (LiDAR) is critical for autonomous perception, yet its performanc... |