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Description
Extract algorithms from arxiv papers and generate runnable code scaffolds with Corollary. Corollary turns academic research papers into runnable Python code. This extension adds a one-click "Process with Corollary" button when you're browsing arxiv.org. When you visit an arxiv paper page, Corollary detects the paper and lets you: - Send the paper directly to Corollary for processing — no need to copy/paste URLs - Choose your quality tier (Economy, Balanced, or Quality) - View your processing history and results Corollary's pipeline reads the paper, identifies every algorithm, and generates Python code scaffolds with type hints, docstrings, pytest tests, and an ambiguity report flagging everything the paper doesn't clearly explain. The system never silently guesses — it flags uncertainty so you know exactly what needs your judgment. A free Corollary account is required. Visit corollary.ca to get started.