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/2610.05833v1
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PaperAuthorsarXiv IDCategoriesPublishedCodeRadarSummary
Request Order Matters: Cache-History Sensitivity in Selective KV-Cache Reuse for Rolling AgentsTiffany Gu, Annie Guan, Manshu Huanghttp://arxiv.org/abs/2610.05833v1cs.AI, cs.LGOct 5, 2026NoneScore75Long-running agents repeatedly call an LLM while retaining most of their document window, evi...
Selecting Long-Horizon Trajectories for Reliable and Efficient Terminal-Agent TrainingCuong Dang, Hoang Anh Just, Ruoxi Jiahttp://arxiv.org/abs/2610.05831v1cs.LG, cs.AIOct 5, 2026NoneScore75Terminal agents are commonly trained by imitating long teacher trajectories, yet how much of...
Who Keeps the Gains from Personal AI Assistants? Seller Adaptation and the Unassisted in a Language-Model Market SimulationHaonan Huang, Joey Xiaohttp://arxiv.org/abs/2610.05823v1cs.MA, cs.AIOct 5, 2026NoneScore78Personal AI assistants are beginning to transact for consumers, and early adopters capture re...
From Mixing to Tearing: Graph Decomposition in Decentralized Optimization via Message PassingKuangyu Ding, Gesualdo Scutarihttp://arxiv.org/abs/2610.03709v1math.OC, cs.LGOct 2, 2026NoneScore71We study the minimization of sums of smooth strongly convex functions over undirected graphs,...
Simulation-Free Learning of Population Dynamics with Wasserstein Lagrangian ResidualsFedor Sergeev, Markus Heinonen, Daniel Waxmanhttp://arxiv.org/abs/2610.03679v1cs.LG, stat.MEOct 2, 2026DetectedScore81The dynamics of cells, organisms, and fluids are often modeled as probability distributions e...
Designing Protein Structures from Natural LanguageJoseph Lee, Yanjing Li, Bo Qianghttp://arxiv.org/abs/2610.13917v1cs.LG, q-bio.BMOct 9, 2026NoneScore72A central challenge in de novo protein design is generating proteins with desired structural...
Hitting-Time Bounds for Asynchronous Q-LearningYang Penghttp://arxiv.org/abs/2610.13901v1stat.ML, cs.LGOct 9, 2026NoneScore62We study the last iterate of standard asynchronous Q-learning from a single trajectory of a f...
Density Ratio Estimation with Stein Displacement FieldsSong Liuhttp://arxiv.org/abs/2610.12437v1stat.ML, cs.LGOct 8, 2026NoneScore62Density ratios quantify distribution shift from a probability-mass point of view, whereas dis...
Tetris3D: 3D Scene Generation With Objects That Fit TogetherJaeyeong Kim, Jinhyuk Jang, Jongmin Leehttp://arxiv.org/abs/2610.10539v1cs.CVOct 7, 2026NoneScore71We propose Tetris3D, a generative framework for single-image 3D scene reconstruction that rec...
Why Forget-Only Unlearning Needs MemorizationLuka Radić, Vikrant Singhal, Amartya Sanyalhttp://arxiv.org/abs/2610.10519v1cs.LG, cs.ITOct 7, 2026NoneScore74Machine unlearning asks for a deletion algorithm whose output is close to retraining from scr...