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
ConceptSMILE: Auditing the Trustworthiness of Concept-Based Explainable AI	Mohadeseh Mollapour, Koorosh Aslansefat, Zeinab Dehghani	http://arxiv.org/abs/2607.09649v1	cs.AI	Jul 10, 2026	None	RDR73	Concept-based explainable artificial intelligence (AI) can make model reasoning more human-un...
Score Accuracy Along the Forward Diffusion Does Not Certify Numerical Stability in Diffusion Sampling	Yiwei Zhou	http://arxiv.org/abs/2607.08757v1	stat.ML, cs.LG	Jul 9, 2026	None	RDR71	Score matching controls average error under the forward marginals, but a discretized reverse-...
Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems	Emmanouil Kavvousanos, Francky Catthoor, Vassilis Paliouras	http://arxiv.org/abs/2607.08717v1	cs.LG, eess.SP	Jul 9, 2026	None	RDR72	Narrowband interference (NBI) severely degrades orthogonal frequency-division multiplexing (O...
An optimal control approach for neural network architecture adaptation with a posteriori error estimation	C G Krishnanunni, Thomas Scott, Tan Bui-Thanh	http://arxiv.org/abs/2607.07637v1	cs.LG, math.NA	Jul 8, 2026	None	RDR75	This work presents a novel approach for adapting neural network architecture along the depth...
Towards Agentic AI Governance: A Preliminary Assessment	Mubarak Raji, Masooda Bashir	http://arxiv.org/abs/2607.07612v1	cs.CY, cs.AI	Jul 8, 2026	None	RDR65	Artificial intelligence is rapidly evolving from generative systems to agentic AI capable of...
Asymmetric Focal Loss Improves Graph Neural Network Prediction of Drug-Drug Interactions	Faranak Hatami, Mousa Moradi	http://arxiv.org/abs/2607.07611v1	cs.LG, physics.comp-ph	Jul 8, 2026	None	RDR72	Background: Graph neural networks improve computational prediction of polypharmacy side effec...
MonoIR-RS: Infrared Remote Sensing Vision-Language Learning with CLIP and VLM Adaptation	Jiaju Han, Ma Yaqi, Yahui Chai	http://arxiv.org/abs/2607.06552v1	cs.CV	Jul 7, 2026	None	RDR79	Infrared remote-sensing imagery captures intensity structure, object-background contrast, and...
Graph Convolutional Attention: A Spectral Perspective on Graph Denoising and Diffusion	Shervin Khalafi, Igor Krawczuk, Sergio Rozada	http://arxiv.org/abs/2607.06546v1	cs.LG, cs.AI	Jul 7, 2026	None	RDR81	Denoising graphs is a fundamental problem in graph learning and the core operation of graph d...
FreqDepthKV: Frequency-Guided Depth Sharing for Robust KV Cache Compression in Long-Context LLM Inference	Anna Córdoba, Adam Puente Tercero, Nerea Angulo Hijo	http://arxiv.org/abs/2607.06519v1	cs.AI	Jul 7, 2026	None	RDR83	Long-context LLM inference is increasingly limited by the memory and bandwidth cost of KV cac...
Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation	Songbur Wong, Xiaosong Jia, Junqi You	http://arxiv.org/abs/2607.06516v1	cs.CV	Jul 7, 2026	Detected	RDR83	Evaluating end-to-end autonomous driving (E2E-AD) remains challenging, as existing driving si...