IQuest-Q1: Advancing Foundation Capabilities for Agentic CLI Systems Paper • 2610.30949 • Published 13 days ago • 100
Scaling Trajectories for Complex Tasks through Recursive Self-Rewrite Paper • 2610.02826 • Published Oct 2 • 37
Self-Supervised Scaling of Terminal Environments for Scientific Domains Paper • 2610.02710 • Published Oct 2 • 10
Terminal-RSI: Recursive Self-Improving Terminal Agents via Recursive Self-Rewrite and Policy-Refine Paper • 2610.22192 • Published 20 days ago • 31
More Memory, Worse Agents: Error Reproduction and Anti-Persistence in LLM Agents Paper • 2610.27406 • Published 16 days ago • 8
CoEvo-RSI: When Harnesses Evolve, Which Models Should Follow? Paper • 2610.25078 • Published 17 days ago • 47
Harness Self-Evolution for Long-Horizon Terminal Agents Paper • 2610.27435 • Published 15 days ago • 11
Terminal-RSI: Recursive Self-Improving Terminal Agents via Recursive Self-Rewrite and Policy-Refine Paper • 2610.22192 • Published 20 days ago • 31
Terminal-RSI: Recursive Self-Improving Terminal Agents via Recursive Self-Rewrite and Policy-Refine Paper • 2610.22192 • Published 20 days ago • 31
Self-Supervised Scaling of Terminal Environments for Scientific Domains Paper • 2610.02710 • Published Oct 2 • 10
Scaling Trajectories for Complex Tasks through Recursive Self-Rewrite Paper • 2610.02826 • Published Oct 2 • 37
The Past Frames the Future: Memory for Autoregressive Video Generation Paper • 2609.28466 • Published Sep 23 • 46
SAS: Simple Attention Sparsification via End-to-End Optimization of Context Ranking Paper • 2609.13141 • Published Sep 11 • 67
T1: Terminal Agent Reinforcement Learning for Long-Horizon Tasks Paper • 2609.11042 • Published Sep 10 • 66
PARSER: Read in Parallel, Reason in Depth for Long-Context LLM Agents Paper • 2609.06702 • Published Sep 6 • 23
T1 Collection CC BY 4.0 RL checkpoints for T1; base-model and third-party terms still apply. • 4 items • Updated Sep 16 • 5