·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Asian governments react to Nvidia CEO Jensen Huang’s exit1h◆The OpenAI board member who fired Sam Altman says we still can’t trust AI CEOs2h◆Jensen Huang and the decline of the visionary showman founder CEO5h◆Mach2: Scientific Discovery Platform with Deterministic Execution Constraints12h◆OverServe: Resource Amplification Attacks on SaaS Agents via Tool--Prompt Co-Design12h◆CFGComposer: Compositional Audio-Text-to-Motion Generation via Copula Score Correction12h◆Multi-View 3D Reconstruction Using V-JEPA Features12h◆GingivitisSeg: A Public Dataset and Comparative Benchmark for Gingivitis Segmentation in Intraoral Images12h◆Can Model Answer Probabilities Represent Survey Populations? Conditional Prediction and Joint Validity in Jev Survey Simulation12h◆Contrastive Bootstrap Representation Learning for Label-Efficient Agricultural Image Classification12h◆SO-Arena: Benchmarking the Capability Spectrum and Reliability of System One Models12h◆The BEATS Dataset: Towards Understanding Music-Physiology Dynamics in Real-World Scenarios12h◆RESYNC: Residual Latent-State Synchronization for Deadline-Bound Streaming Inference12h◆LEAP: Supercharging LLMs for Formal Mathematics with Agentic Frameworks12h◆Do More Modalities Always Help? A Geometric Perspective on Missing-Modality Robustness12h◆Which Buildings Are Artificial Intelligence-Ready? A Measurement-Based Assessment Framework for AI Question Answering and Actuation12h◆Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization12h◆DAISY: Fault-Guided Assertion Inference for Dafny12h◆Individualized Algorithmic Advice as a Strategic Signal on Competitive Markets12h◆Learning pharmacokinetic dynamics with structured neural ODEs for precision dosing12h◆Asian governments react to Nvidia CEO Jensen Huang’s exit1h◆The OpenAI board member who fired Sam Altman says we still can’t trust AI CEOs2h◆Jensen Huang and the decline of the visionary showman founder CEO5h◆Mach2: Scientific Discovery Platform with Deterministic Execution Constraints12h◆OverServe: Resource Amplification Attacks on SaaS Agents via Tool--Prompt Co-Design12h◆CFGComposer: Compositional Audio-Text-to-Motion Generation via Copula Score Correction12h◆Multi-View 3D Reconstruction Using V-JEPA Features12h◆GingivitisSeg: A Public Dataset and Comparative Benchmark for Gingivitis Segmentation in Intraoral Images12h◆Can Model Answer Probabilities Represent Survey Populations? Conditional Prediction and Joint Validity in Jev Survey Simulation12h◆Contrastive Bootstrap Representation Learning for Label-Efficient Agricultural Image Classification12h◆SO-Arena: Benchmarking the Capability Spectrum and Reliability of System One Models12h◆The BEATS Dataset: Towards Understanding Music-Physiology Dynamics in Real-World Scenarios12h◆RESYNC: Residual Latent-State Synchronization for Deadline-Bound Streaming Inference12h◆LEAP: Supercharging LLMs for Formal Mathematics with Agentic Frameworks12h◆Do More Modalities Always Help? A Geometric Perspective on Missing-Modality Robustness12h◆Which Buildings Are Artificial Intelligence-Ready? A Measurement-Based Assessment Framework for AI Question Answering and Actuation12h◆Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization12h◆DAISY: Fault-Guided Assertion Inference for Dafny12h◆Individualized Algorithmic Advice as a Strategic Signal on Competitive Markets12h◆Learning pharmacokinetic dynamics with structured neural ODEs for precision dosing12h◆
News/LEAP: Supercharging LLMs for Formal Mathematics with Agentic Frameworks
arxiv
PublishedNovember 14, 2026 at 5:00 AM

LEAP: Supercharging LLMs for Formal Mathematics with Agentic Frameworks

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

arXiv:2606.03303v3 Announce Type: replace Abstract: Large Language Models (LLMs) exhibit strong informal mathematical reasoning but struggle to generate mechanically verifiable proofs in formal languages like Lean. We present LEAP, an agentic framework that enables general-purpose foundation models

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
arxivMach2: Scientific Discovery Platform with Deterministic Execution Constraints12harxivOverServe: Resource Amplification Attacks on SaaS Agents via Tool--Prompt Co-Design12harxivCFGComposer: Compositional Audio-Text-to-Motion Generation via Copula Score Correction12harxivMulti-View 3D Reconstruction Using V-JEPA Features12h
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