OmniSpectra: A Unified Foundation Model for Universal Spectra Representation Learning Paper • 2601.15351 • Published 10 days ago • 45
Reading, Writing, Sharing, and Interacting with the World through Video Paper • 2610.31668 • Published 11 days ago • 55
OR-License: Evaluating LLM Agents as Real-World Operations Research Practitioners Paper • 2610.24087 • Published 17 days ago • 44
The Life Cycle of a Massive Activation: Stochastic Birth, Weight-Decay-Driven Growth, and Competitive Consolidation Paper • 2610.00423 • Published 28 days ago • 9
Follow the Entities: A Corpus Map for Agentic Search Paper • 2609.37226 • Published Sep 29 • 69
Agent-Editing World Model: Rethinking World Modeling for LLM Agents Paper • 2609.28416 • Published Sep 23 • 42
Agensh: Scaling Organizational Intelligence to 1,024 Agents Paper • 2609.26781 • Published Sep 22 • 29
RRSI: Regularized Recursive Self-Improvement of Agent Harnesses Paper • 2609.24972 • Published Sep 21 • 174
Retention-Constrained Post-Training Quantization of Cellpose-SAM for Stem Cell Microscopy Paper • 2609.21038 • Published Sep 17 • 5
PACT: Can Enterprise AI Assistants Be Trusted Under Pressure? Paper • 2609.18605 • Published Sep 16 • 16
Confidence Comes from Experience: Experiential Confidence Estimation from Reasoning to Agents Paper • 2609.17708 • Published Sep 15 • 59
ScienceIDE: Turning World's Scientific Codebase into Agent Learnable Environments Paper • 2609.19134 • Published Sep 16 • 83