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

1,260

1 arXiv sources

Top radar

http://arxiv.org/abs/2607.12896v1

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Paper	Authors	arXiv ID	Categories	Published	Code	Radar	Summary
Any-Dimensional Learning by Sampling	Eitan Levin, Venkat Chandrasekaran	http://arxiv.org/abs/2607.07680v1	math.ST, cs.LG	Jul 8, 2026	None	RDR73	Many machine learning models are defined for inputs of different sizes, such as point clouds...
LLM for EDA in Front-End Design: Challenges and Opportunities	Kangwei Xu, Bing Li, Ulf Schlichtmann	http://arxiv.org/abs/2607.09616v1	cs.ET, cs.AR	Jul 10, 2026	None	RDR63	As chip complexity increases and time-to-market pressures grow, front-end design has become a...
Toward Real-Time Sentence-Level Sign Language Translation	Thanh-Hoang Nguyen Doan	http://arxiv.org/abs/2607.09611v1	cs.CL	Jul 10, 2026	None	RDR63	Most sign language understanding systems operate at the level of isolated signs, limiting the...
TrustX Agent Risk Classification Framework (ARC): Risk-Tiering Internally Created Agentic AI Systems	Hannah M. Liu, Rhea Saxena, Shiv Asthana	http://arxiv.org/abs/2607.09586v1	cs.AI	Jul 10, 2026	None	RDR63	The proliferation of agentic AI systems across enterprise and public-sector contexts has outp...
TCLA: Training-Free Class-wise Logit Adaptation for Medical Vision-Language Models	Tianyou Jiang, Ziyu Zhou	http://arxiv.org/abs/2607.09562v1	cs.CV, cs.AI	Jul 10, 2026	None	RDR73	Medical Vision-Language Models (VLMs) exhibit strong zero-shot performance, yet their effecti...
OPSD-V: On-Policy Self-Distillation for Post-Training Few-Step Autoregressive Video Generators	Hongyu Liu, Chun Wang, Feng Gao	http://arxiv.org/abs/2607.08766v1	cs.CV	Jul 9, 2026	None	RDR69	We propose OPSD-V, an on-policy self-distillation paradigm for post-training few-step autoreg...
Dimensionality Reduction Meets Network Science: Sensemaking on UMAP's kNN Graph	Duen Horng Chau, Donghao Ren, Fred Hohman	http://arxiv.org/abs/2607.08746v1	cs.LG, cs.AI	Jul 9, 2026	None	RDR81	While UMAP is widely used for exploring high-dimensional data, typical workflows focus on its...
Remember When It Matters: Proactive Memory Agent for Long-Horizon Agents	Yifan Wu, Lizhu Zhang, Yuhang Zhou	http://arxiv.org/abs/2607.08716v1	cs.AI, cs.CL	Jul 9, 2026	None	RDR72	In long-horizon tasks, decision-relevant state is often scattered across an expanding traject...
DepthWeave-KV: Token-Adaptive Cross-Layer Residual Factorization for Long-Context KV Cache Compression	Anna Cordoba, Adam Puente Tercero, Nerea Angulo Hijo	http://arxiv.org/abs/2607.06523v1	cs.AI	Jul 7, 2026	None	RDR85	Long-context language model inference is increasingly limited by the memory bandwidth and cap...
Danus: Orchestrating Mathematical Reasoning Agents with Fact-Graph Memory	Jihao Liu, Guoxiong Gao, Zeming Sun	http://arxiv.org/abs/2607.06447v1	cs.AI, cs.CL	Jul 7, 2026	Detected	RDR87	Recent LLM-based mathematical reasoning agents have begun to tackle research-level problems a...