Position: Collusion Risks Among AI Reasoning Agents Justify Certification Requirements for Making Market Decisions

Mantis: Lightweight Foundation Model for Time Series Classification

Optimal Self-Consistency for Efficient Reasoning with Large Language Models

MuLoCo: Muon is a practical inner optimizer for DiLoCo

Adaptive Batch Sizes Using Non-Euclidean Gradient Noise Scales for Stochastic Sign and Spectral Descent

UTICA: Multi-Objective Self-Distillation Foundation Model Pretraining for Time Series Classification Copy

Closing the Zero-Shot Gap in Time Series Classification with Synthetic Data and Test-Time Strategies

Layer by layer, module by module: Choose both for optimal OOD probing of ViT

AIF-GEN: Open-Source Platform and Synthetic Dataset Suite for Reinforcement Learning on Large Language Models

Emergent Reasoning via Recursive Latent Reinforcement Pretraining

Shared Gradient Discovery and Superposition: Learning Dynamics of Generalization in LLMs

μLO: Compute-Efficient Meta-Generalization of Learned Optimizers

CauKer: Classification Time Series Foundation Models Can Be Pretrained On Synthetic Data