Stable signalUnknownMedium-risk permissions
Corollary - ArXiv to Code icon

Corollary - ArXiv to Code

Extract algorithms from arxiv papers and generate runnable code scaffolds with Corollary.

Users0Current public install base
Rating--Store average score
Reviews0Public review volume
Manifest versionV3Extension platform version
7-day growth0Net users gained this week
7-day growth rate--Relative weekly velocity
Preview

Corollary - ArXiv to Code Media preview

5 assets
Trend

30-day user trend

Review user movement over the last 30 days.

User Growth Over Time

000002026年6月24日2026年6月28日2026年6月28日Latest: 0
Rating trend

30-day rating change

Track rating movement over time to see whether quality signals remain stable.

Not enough rating snapshots yet. More data will appear as new snapshots are collected.
Growth overview

Daily, weekly, and monthly growth

Compare 1-day, 7-day, and 30-day net growth and growth rate.

1-day growthFlat
0--
7-day growthFlat
0--
30-day growthDeclining
-1-100%
Technical snapshot

Version, languages, and crawl freshness

Review publication date, version, supported languages, and crawl timestamps.

Version1.0.0
ManifestV3
Size134KiB
Languages1English
Published
Store updated
Last crawled
English
Overview

Product summary

Review the store description, core capabilities, and common use cases.

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.

Reviews

Recent review snapshot

Inspect the latest comments and rating distribution.

5
0
4
0
3
0
2
0
1
0