·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Announcing SimReady Central: An Open Library of Simulation-Ready 3D Assets for Robotics and AI Factories58m◆An AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response7h◆Learning Transferable Latent User Preferences for Human-Aligned Decision Making7h◆Repair the Core, Not the Symptom: Planning-Graph Repair for Long-Horizon Agents7h◆IndustryForge-27B: A Domain-Enhanced Multimodal Foundation Model for Industrial CAD7h◆Ethical LLM-Assisted Research: A Framework for Responsible Delegation, Verification, and Epistemic Value7h◆PALATE: Peculiar Application of the Law of Total Expectation to Enhance the Evaluation of Deep Generative Models7h◆WoW-Bench: Evaluating Fine-Grained Acoustic Perception in Audio-Language Models via Marine Mammal Vocalizations7h◆When Synthetic Speech Is All You Have: Better Call GRPO7h◆Reducing belief in conspiracy theories as they unfold using large language models7h◆Harnessing Magnitude-Only and Complex Measurements for Improved Dynamic MRI Reconstruction with Learned Priors7h◆EDISCO: Equivariant DIScrete Diffusion for Euclidean Combinatorial Optimization7h◆Composing What Each Teacher Learned: Delta Distillation for Multi-Teacher On-Policy Learning7h◆CRISP: Fixing Flying Pixels in Latent LiDAR Generation via Diffusion Decoding7h◆WeGR: Towards Unified Generative Retrieval via Behavior-aware Tokenization and Preference Alignment7h◆StartLux-Decision: AutoThink Decision Models with Reinforcement Learning for Calibrated Deliberative Decisions7h◆Many Steps into One: Reasoning Contraction and the Limits of Safe Memory Reuse for LLM Agents7h◆Secure Agentic Coding through Counterexample-Grounded Feedback7h◆Policy Search in Code Space for Multi-Agent Pathfinding7h◆TamedFlow: Trajectory-Aware Distillation for Teacher-Assisted Diffusion Sampling7h◆Announcing SimReady Central: An Open Library of Simulation-Ready 3D Assets for Robotics and AI Factories58m◆An AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response7h◆Learning Transferable Latent User Preferences for Human-Aligned Decision Making7h◆Repair the Core, Not the Symptom: Planning-Graph Repair for Long-Horizon Agents7h◆IndustryForge-27B: A Domain-Enhanced Multimodal Foundation Model for Industrial CAD7h◆Ethical LLM-Assisted Research: A Framework for Responsible Delegation, Verification, and Epistemic Value7h◆PALATE: Peculiar Application of the Law of Total Expectation to Enhance the Evaluation of Deep Generative Models7h◆WoW-Bench: Evaluating Fine-Grained Acoustic Perception in Audio-Language Models via Marine Mammal Vocalizations7h◆When Synthetic Speech Is All You Have: Better Call GRPO7h◆Reducing belief in conspiracy theories as they unfold using large language models7h◆Harnessing Magnitude-Only and Complex Measurements for Improved Dynamic MRI Reconstruction with Learned Priors7h◆EDISCO: Equivariant DIScrete Diffusion for Euclidean Combinatorial Optimization7h◆Composing What Each Teacher Learned: Delta Distillation for Multi-Teacher On-Policy Learning7h◆CRISP: Fixing Flying Pixels in Latent LiDAR Generation via Diffusion Decoding7h◆WeGR: Towards Unified Generative Retrieval via Behavior-aware Tokenization and Preference Alignment7h◆StartLux-Decision: AutoThink Decision Models with Reinforcement Learning for Calibrated Deliberative Decisions7h◆Many Steps into One: Reasoning Contraction and the Limits of Safe Memory Reuse for LLM Agents7h◆Secure Agentic Coding through Counterexample-Grounded Feedback7h◆Policy Search in Code Space for Multi-Agent Pathfinding7h◆TamedFlow: Trajectory-Aware Distillation for Teacher-Assisted Diffusion Sampling7h◆
News/CAPSafe: A Benchmark for Contextual Action and Plan Safety Reasoning in Embodied Agents
arxiv
PublishedOctober 21, 2026 at 4:00 AM

CAPSafe: A Benchmark for Contextual Action and Plan Safety Reasoning in Embodied Agents

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

arXiv:2610.28381v1 Announce Type: cross Abstract: Reasoning about safety is essential for embodied agents powered by large language models (LLMs). We introduce the Contextual Action and Plan Safety benchmark (CAPSafe), designed to evaluate safety reasoning at two levels: (1) an action-level dataset

Stay posted· Newsletter

Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.

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

Your email is used only to send The Bubble Brief. Privacy policy

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
arxivAn AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response7harxivLearning Transferable Latent User Preferences for Human-Aligned Decision Making7harxivRepair the Core, Not the Symptom: Planning-Graph Repair for Long-Horizon Agents7harxivIndustryForge-27B: A Domain-Enhanced Multimodal Foundation Model for Industrial CAD7h
The Bubble Brief
MON · WED · FRI

Read AI insights every Monday, Wednesday and Friday — top movers, new models, story of the week.

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

Your email is used only to send The Bubble Brief. Privacy policy

Originally published on arxiv ↗
PrivacyTermsRefundsLegal notice|AboutMethodologyContact

© 2026 Databubble

Built by Marouane Gazouzi · Readyo, AI interview coach

HomeModelsNews