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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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PaperAuthorsarXiv IDCategoriesPublishedCodeRadarSummary
VeriTrace: Evolving Mental Models for Deep Research AgentsHaolang Zhao, Yunbo Long, Lukas Beckenbauerhttp://arxiv.org/abs/2605.26081v1cs.AIMay 25, 2026NoneRDR78Deep research agents face vast, interdependent, and pervasively uncertain information. Existi...
Sensor2Sensor: Cross-Embodiment Sensor Conversion for Autonomous DrivingJiahao Wang, Bo Sun, Yijing Baihttp://arxiv.org/abs/2605.22809v1cs.CVMay 21, 2026NoneRDR78Robust training and validation of Autonomous Driving Systems (ADS) require massive, diverse d...
The Matching Principle: A Geometric Theory of Loss Functions for Nuisance-Robust Representation LearningVishal Rajputhttp://arxiv.org/abs/2605.22800v1cs.LG, cs.AIMay 21, 2026NoneRDR78Robustness, domain adaptation, photometric and occlusion invariance, compositional generalisa...
REST3D: Reconstructing Physically Stable 3D Scenes from a Single ImageXiaoxuan Ma, Jiashun Wang, Nicolas Ugrinovichttp://arxiv.org/abs/2605.30338v1cs.CVMay 28, 2026NoneRDR77Reconstructing physically stable 3D scenes from a single RGB image enables casual images to b...
Calibrating Conservatism for Scalable OversightWilliam Overman, Mohsen Bayatihttp://arxiv.org/abs/2605.28807v1cs.AIMay 27, 2026NoneRDR77Agentic AI systems capable of autonomous planning and extended environmental interaction pose...
Can LLMs Use Linguistic Uncertainty Markers to Reliably Reflect Intrinsic Confidence?Gabrielle Kaili-May Liu, Arman Cohanhttp://arxiv.org/abs/2605.28778v1cs.CLMay 27, 2026NoneRDR77LLMs' linguistically expressed confidence should faithfully reflect their intrinsic uncertain...
When Eyes Betray AI: Social Gaze Consistency as a Semantic Cue for AI-Generated Image DetectionKim Jihyeon, Sohee Kim, Soosan Leehttp://arxiv.org/abs/2605.27348v1cs.CV, cs.AIMay 26, 2026NoneRDR77Recent generative models have largely closed the gap on low-level artifacts - pixel fingerpri...
Real Images, Worse Judgments: Evaluating Vision-Language Models on Concreteness and ImageryYifan Jiang, Ruoxi Ning, Sheng Yaohttp://arxiv.org/abs/2605.27315v1cs.CLMay 26, 2026NoneRDR77Visual inputs are often assumed to improve language understanding in multimodal models. We ex...
MOSS: Self-Evolution through Source-Level Rewriting in Autonomous Agent SystemsQianshu Cai, Yonggang Zhang, Xianzhang Jiahttp://arxiv.org/abs/2605.22794v1cs.AI, cs.LGMay 21, 2026NoneRDR77Autonomous agentic systems are largely static after deployment: they do not learn from user i...
Deep Reinforcement Learning for Flexible Job Shop Scheduling with Random Job ArrivalsYu Tang, Muhammad Zakwan, Efe Baltahttp://arxiv.org/abs/2605.22773v1cs.AI, math.OCMay 21, 2026NoneRDR77The Flexible Job Shop Scheduling Problem (FJSP) is the optimal allocation of a set of jobs to...