·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning25m◆Optical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning25m◆Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models25m◆Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents25m◆Multi-SPIN: Multi-Access Speculative Inference for Cooperative Token Generation at the Edge25m◆Synthetic Personalities: How Well Can LLMs Mimic Individual Respondents Using Socio-Economic Microdata?25m◆Ekka: Automated Diagnosis of Silent Errors in LLM Inference25m◆QuBLAST: A Framework for Quantizing Large Language Models with Block-Level Compression Approach and Activation Scaling Strategy25m◆QO-Bench: Diagnosing Query-Operator-Preserving Retrieval over Typed Event Tuples25m◆Instance-Level Post Hoc Uncertainty Quantification in Object Detection25m◆Why Muon Outperforms Adam: A Curvature Perspective25m◆Learning Long Range Spatio-Temporal Representations over Continuous Time Dynamic Graphs with State Space Models25m◆Real-Time Automatic License Plate Recognition Using YOLOv8, SORT Tracking, and Temporal Data Interpolation25m◆Graph-Guided Universum Learning in Generalized Eigenvalue Proximal SVMs for Alzheimer's Disease Classification25m◆Enhancing MedSAM with a Lightweight Box Predictor for Medical Image Segmentation25m◆VISTA: Vision-Grounded and Physics-Validated Adaptation of UMI data for VLA Training25m◆CoRe-MoE: Contrastive Reweighted Mixture of Experts for Multi-Terrain Humanoid Locomotion with Gait Adaptation25m◆Trace-Mediated Peak Bias: Bridging Temporal Credit Assignment and Cognitive Heuristics in Deep Reinforcement Learning25m◆Curvature-aware dynamic precision approach for physics-informed neural networks25m◆Revisiting Vul-RAG: Reproducibility and Replicability of RAG-based Vulnerability Detection with Open-Weight Models25m◆SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning25m◆Optical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning25m◆Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models25m◆Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents25m◆Multi-SPIN: Multi-Access Speculative Inference for Cooperative Token Generation at the Edge25m◆Synthetic Personalities: How Well Can LLMs Mimic Individual Respondents Using Socio-Economic Microdata?25m◆Ekka: Automated Diagnosis of Silent Errors in LLM Inference25m◆QuBLAST: A Framework for Quantizing Large Language Models with Block-Level Compression Approach and Activation Scaling Strategy25m◆QO-Bench: Diagnosing Query-Operator-Preserving Retrieval over Typed Event Tuples25m◆Instance-Level Post Hoc Uncertainty Quantification in Object Detection25m◆Why Muon Outperforms Adam: A Curvature Perspective25m◆Learning Long Range Spatio-Temporal Representations over Continuous Time Dynamic Graphs with State Space Models25m◆Real-Time Automatic License Plate Recognition Using YOLOv8, SORT Tracking, and Temporal Data Interpolation25m◆Graph-Guided Universum Learning in Generalized Eigenvalue Proximal SVMs for Alzheimer's Disease Classification25m◆Enhancing MedSAM with a Lightweight Box Predictor for Medical Image Segmentation25m◆VISTA: Vision-Grounded and Physics-Validated Adaptation of UMI data for VLA Training25m◆CoRe-MoE: Contrastive Reweighted Mixture of Experts for Multi-Terrain Humanoid Locomotion with Gait Adaptation25m◆Trace-Mediated Peak Bias: Bridging Temporal Credit Assignment and Cognitive Heuristics in Deep Reinforcement Learning25m◆Curvature-aware dynamic precision approach for physics-informed neural networks25m◆Revisiting Vul-RAG: Reproducibility and Replicability of RAG-based Vulnerability Detection with Open-Weight Models25m◆
News/The Violation Situation Pattern: A Knowledge-Graph Pattern for Compliance Violations
arxiv
PublishedJune 3, 2026 at 4:00 AM
—neutral

The Violation Situation Pattern: A Knowledge-Graph Pattern for Compliance Violations

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

arXiv:2606.03326v1 Announce Type: new Abstract: Compliance pipelines detect violations as transient query results and do not keep the violation itself as a persistent graph object with review state, affected entities, or audit history. The Violation Situation Pattern (VSP) closes this gap. Building

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
arxivSFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning25marxivOptical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning25marxivDynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models25marxivTemporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents25m
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