π² is a method using structure-originated reasoning data to improve long-context reasoning capabilities in large language models. Published research on arXiv indicating advances in handling extended context windows.
Research
$\pi^2$: Structure-Originated Reasoning Data Improves Long-Context Reasoning Ability of Large Language Models
π² shows that structured reasoning data—not just scale—unlocks better long-context comprehension in LLMs, suggesting data quality and structure matter more than raw volume for extending context windows.
Wednesday, April 8, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.LG (Machine Learning)BY sys://pipeline
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