·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Integrating High-Level Requirements to Low-Level Tests with Machine-Readable V&V Specifications53m◆Lifelong Multi-Subsystem Pickup and Delivery with Buffer-Limited Handover Stations53m◆MXSens: Sensitivity-Aware Mixed-Precision Quantization for Efficient LLM Inference53m◆Mobile Network Control with a World Model53m◆DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation53m◆Seg2Grasp: A Robust Modular Suction Grasping in Bin Picking53m◆Generalize and Guide: Decomposing Rewards for Few-Shot Inverse Reinforcement Learning53m◆Time-Frequency Consistency Learning for Robust Speech Deepfake Detection53m◆Autonomous Discovery of Wireless Communications Algorithms53m◆FIFA World Cup 2026 as a Contamination-Free Benchmark for LLM Forecasting Agents: Four Models, a Bookmaker, and 104 Matches53m◆Measuring Monosemanticity in Sparse Autoencoders via Latent Activation Coherence53m◆Persona-as-Configuration: Generative Stakeholder Reporting for Agricultural Floods53m◆CDIS: Cross-Dimensional Class-Agnostic 3D Instance Segmentation via 2D Mask Tracking and 3D-2D Projection Merging53m◆ETAS: An Effect-Typed Language for Agent Systems53m◆BrainNext: A General-Purpose Self-Supervised Foundation Model for Brain MRI Analysis53m◆Feature Attribution-Based Explainability Analysis of Deep Learning Models in Predictive Process Monitoring53m◆Reasoning as a Double-Edged Sword: Architecture and Cross-Stage Robustness in Vision-Language-Action Models53m◆Medical Imaging Fusing Vision Transformer: Laryngeal Cancer Screening with Explanation53m◆ReViV: Reconstructing the Viewer and the View in 4D from Monocular Egocentric Video53m◆Vis2Reg: Visibility-Aware Landmark-Free Geometric 3D--2D Registration for Liver Laparoscopy53m◆Integrating High-Level Requirements to Low-Level Tests with Machine-Readable V&V Specifications53m◆Lifelong Multi-Subsystem Pickup and Delivery with Buffer-Limited Handover Stations53m◆MXSens: Sensitivity-Aware Mixed-Precision Quantization for Efficient LLM Inference53m◆Mobile Network Control with a World Model53m◆DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation53m◆Seg2Grasp: A Robust Modular Suction Grasping in Bin Picking53m◆Generalize and Guide: Decomposing Rewards for Few-Shot Inverse Reinforcement Learning53m◆Time-Frequency Consistency Learning for Robust Speech Deepfake Detection53m◆Autonomous Discovery of Wireless Communications Algorithms53m◆FIFA World Cup 2026 as a Contamination-Free Benchmark for LLM Forecasting Agents: Four Models, a Bookmaker, and 104 Matches53m◆Measuring Monosemanticity in Sparse Autoencoders via Latent Activation Coherence53m◆Persona-as-Configuration: Generative Stakeholder Reporting for Agricultural Floods53m◆CDIS: Cross-Dimensional Class-Agnostic 3D Instance Segmentation via 2D Mask Tracking and 3D-2D Projection Merging53m◆ETAS: An Effect-Typed Language for Agent Systems53m◆BrainNext: A General-Purpose Self-Supervised Foundation Model for Brain MRI Analysis53m◆Feature Attribution-Based Explainability Analysis of Deep Learning Models in Predictive Process Monitoring53m◆Reasoning as a Double-Edged Sword: Architecture and Cross-Stage Robustness in Vision-Language-Action Models53m◆Medical Imaging Fusing Vision Transformer: Laryngeal Cancer Screening with Explanation53m◆ReViV: Reconstructing the Viewer and the View in 4D from Monocular Egocentric Video53m◆Vis2Reg: Visibility-Aware Landmark-Free Geometric 3D--2D Registration for Liver Laparoscopy53m◆
News/Audited Selective Verification for Risk-Controlled N-1 Thermal Contingency Screening under Deployment Shift
arxiv
PublishedJuly 16, 2026 at 4:00 AM

Audited Selective Verification for Risk-Controlled N-1 Thermal Contingency Screening under Deployment Shift

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2607.13221v1 Announce Type: cross Abstract: Real-time N-1 contingency screening in an energy management system trades assurance against cost: verifying every credible outage with full power flow is too slow, while fast linear-sensitivity screening gives no statistical guarantee and can silentl

Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

// no spam · unsubscribe one-click · free forever

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →

Related coverage

More from ARXIV
arxivIntegrating High-Level Requirements to Low-Level Tests with Machine-Readable V&V Specifications53marxivLifelong Multi-Subsystem Pickup and Delivery with Buffer-Limited Handover Stations53marxivMXSens: Sensitivity-Aware Mixed-Precision Quantization for Efficient LLM Inference53marxivMobile Network Control with a World Model53m
The Bubble Brief
WEEKLY

Read AI insights every Tuesday — top movers, new releases, story of the week.

// no spam · unsubscribe one-click · free forever

Originally published on arxiv ↗
HomeModelsNews