·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
MAGNET: Manifold-Aware Graph Diffusion Network for Connectome Generation26m◆Counterfactual Model Testing Under Distribution Shift26m◆Centralized Critics for N-Agent Ad Hoc Teamwork26m◆Where and What to Reward? Understanding Generalization Between Verifiable and Open-Ended Domains in Reinforcement Learning26m◆Fast KVzip: Efficient and Accurate LLM Inference with Gated KV Eviction26m◆Numina Fuse: Interactive Autoformalization in Lean 426m◆On the Limits of Sparse Linear Model with Shuffled Differential Privacy26m◆Video World Models Need Predictable Latents26m◆AutoPRL: Automated Path Representation Learning via a Learnable View Generator26m◆Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning Models26m◆Latent Goal Prediction from Language for Model-Based Planning26m◆Rectified Language Flow26m◆Trainable Boundary-Keeping Where No Formal Answer Exists: A Controlled Knock-In Study of Reward Training in Evidence-Sufficiency Judgment26m◆Intrinsic Goals for Autonomous Agents: Hierarchical Exploration Captures Future Volitional Action in Drosophila26m◆Estimating Long-term Heterogeneous Dose-response Curve: Generalization Bound Leveraging Optimal Transport Weights26m◆Intervention-Certified Amplification: A Validity Gate for $\sigma$-Weighted Post-Training26m◆Single-Cycle Battery Remaining Useful Life Prediction with Compressed Continuous Wavelet Features and Deep Neural Networks26m◆DoubleFree:Exploiting Exploration History for Rollout-Free Multi-Task LLMs Training26m◆Unbiased Alignment for Large Language Models with Noisy Preferences26m◆ExCal: Optimization-Free Multivariate Time Series Anomaly Detection via Excess Calibration26m◆MAGNET: Manifold-Aware Graph Diffusion Network for Connectome Generation26m◆Counterfactual Model Testing Under Distribution Shift26m◆Centralized Critics for N-Agent Ad Hoc Teamwork26m◆Where and What to Reward? Understanding Generalization Between Verifiable and Open-Ended Domains in Reinforcement Learning26m◆Fast KVzip: Efficient and Accurate LLM Inference with Gated KV Eviction26m◆Numina Fuse: Interactive Autoformalization in Lean 426m◆On the Limits of Sparse Linear Model with Shuffled Differential Privacy26m◆Video World Models Need Predictable Latents26m◆AutoPRL: Automated Path Representation Learning via a Learnable View Generator26m◆Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning Models26m◆Latent Goal Prediction from Language for Model-Based Planning26m◆Rectified Language Flow26m◆Trainable Boundary-Keeping Where No Formal Answer Exists: A Controlled Knock-In Study of Reward Training in Evidence-Sufficiency Judgment26m◆Intrinsic Goals for Autonomous Agents: Hierarchical Exploration Captures Future Volitional Action in Drosophila26m◆Estimating Long-term Heterogeneous Dose-response Curve: Generalization Bound Leveraging Optimal Transport Weights26m◆Intervention-Certified Amplification: A Validity Gate for $\sigma$-Weighted Post-Training26m◆Single-Cycle Battery Remaining Useful Life Prediction with Compressed Continuous Wavelet Features and Deep Neural Networks26m◆DoubleFree:Exploiting Exploration History for Rollout-Free Multi-Task LLMs Training26m◆Unbiased Alignment for Large Language Models with Noisy Preferences26m◆ExCal: Optimization-Free Multivariate Time Series Anomaly Detection via Excess Calibration26m◆
News/Riemann-Bench: A Benchmark for Moonshot Mathematics
arxiv
PublishedJune 25, 2026 at 4:00 AM
▼bearish

Riemann-Bench: A Benchmark for Moonshot Mathematics

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

arXiv:2604.06802v3 Announce Type: replace Abstract: Recent AI systems have achieved gold-medal-level performance on the International Mathematical Olympiad, demonstrating remarkable proficiency at competition-style problem solving. However, competition mathematics represents only a narrow slice of m

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 →
Tags
04
#mathematics#benchmark#research#evaluation

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#mathematics#benchmark#research#evaluation

Related coverage

More from ARXIV
arxivMAGNET: Manifold-Aware Graph Diffusion Network for Connectome Generation26marxivCounterfactual Model Testing Under Distribution Shift26marxivCentralized Critics for N-Agent Ad Hoc Teamwork26marxivWhere and What to Reward? Understanding Generalization Between Verifiable and Open-Ended Domains in Reinforcement Learning26m
The Bubble Brief
MON · WED · FRI

Read mathematics 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