·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
An AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response5h◆Navalia: Advancing Cowork Agents through Verifiable Task Synthesis and Long-Horizon Post-Training5h◆Large language model and reinforcement learning based autonomous construction and progress updates5h◆MedPAO-Assist: Edge-Deployable, Modality-Aware Agentic AI for Radiology Report Structuring5h◆DataPraxis: Scaling Analytics Tasks via Verified Workspace Evolution5h◆Industrial Agentic AI: LLM-Driven New-Generation Agents for Smart Manufacturing5h◆MAMath-Bench: Process-Aware and Robust Evaluation of Multimodal Multi-Agent Mathematical Reasoning5h◆LightCRS: Lightweight Multi-Domain Conversational Recommendation System5h◆When Planning Problems Become Hard for LLMs: Separating Structural Complexity from Semantic Interpretability5h◆Physical AI: Concepts, Techniques, and Challenges5h◆ReuF2F: Benchmarking Coding Agents on Formalized Undergraduate Research Problems5h◆A general-purpose System One decision model for clinical records5h◆EDMA: Entropy-Driven Multimodal Answering5h◆Learned Control Variates for Rare Grid-Outage Estimation at Electric Vehicle Charging Stations5h◆TEX: Test-Time Scaling Testing Agents via Execution-based Cross-Validation5h◆When PTQ Calibration Helps or Hurts: Dose-Driven Collapse and Validation-Gated Abstention in Quantized Text Embedders5h◆Unified Sharp Bounds on Probabilities of Causation5h◆ProMemAgent: Long-Horizon Proactive Assistance with Context-Aware Prospective Memory from Sensory Perceptions5h◆Harness Self-Evolution for Long-Horizon Terminal Agents5h◆Ask to Distill: Learning to Synthesize Data for On-Policy Distillation5h◆An AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response5h◆Navalia: Advancing Cowork Agents through Verifiable Task Synthesis and Long-Horizon Post-Training5h◆Large language model and reinforcement learning based autonomous construction and progress updates5h◆MedPAO-Assist: Edge-Deployable, Modality-Aware Agentic AI for Radiology Report Structuring5h◆DataPraxis: Scaling Analytics Tasks via Verified Workspace Evolution5h◆Industrial Agentic AI: LLM-Driven New-Generation Agents for Smart Manufacturing5h◆MAMath-Bench: Process-Aware and Robust Evaluation of Multimodal Multi-Agent Mathematical Reasoning5h◆LightCRS: Lightweight Multi-Domain Conversational Recommendation System5h◆When Planning Problems Become Hard for LLMs: Separating Structural Complexity from Semantic Interpretability5h◆Physical AI: Concepts, Techniques, and Challenges5h◆ReuF2F: Benchmarking Coding Agents on Formalized Undergraduate Research Problems5h◆A general-purpose System One decision model for clinical records5h◆EDMA: Entropy-Driven Multimodal Answering5h◆Learned Control Variates for Rare Grid-Outage Estimation at Electric Vehicle Charging Stations5h◆TEX: Test-Time Scaling Testing Agents via Execution-based Cross-Validation5h◆When PTQ Calibration Helps or Hurts: Dose-Driven Collapse and Validation-Gated Abstention in Quantized Text Embedders5h◆Unified Sharp Bounds on Probabilities of Causation5h◆ProMemAgent: Long-Horizon Proactive Assistance with Context-Aware Prospective Memory from Sensory Perceptions5h◆Harness Self-Evolution for Long-Horizon Terminal Agents5h◆Ask to Distill: Learning to Synthesize Data for On-Policy Distillation5h◆
News/VibeThinker-3B: Exploring the Frontier of Verifiable Reasoning in Small Language Models
arxiv
PublishedJune 16, 2026 at 4:00 AM

VibeThinker-3B: Exploring the Frontier of Verifiable Reasoning in Small Language Models

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

arXiv:2606.16140v1 Announce Type: new Abstract: This technical report introduces VibeThinker-3B, a compact dense model with 3B parameters developed to investigate how far verifiable reasoning can be pushed within a strictly small-model regime. Building upon the Spectrum-to-Signal post-training parad

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 Response5harxivNavalia: Advancing Cowork Agents through Verifiable Task Synthesis and Long-Horizon Post-Training5harxivLarge language model and reinforcement learning based autonomous construction and progress updates5harxivMedPAO-Assist: Edge-Deployable, Modality-Aware Agentic AI for Radiology Report Structuring5h
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