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两个设备（ios android）都是这样
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🔧 Utilities
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About
This app helps users archive and manage their original characters (OCs), allowing them to create unique worldviews and track their growth. It also facilitates the management of commissioned artists and their payment details, offering a comprehensive tool for creators.
✓OC profile and archive management
✓Worldview creation for OCs
✓OC growth tracking
✓Commissioned artist records
✓Payment method tracking
✓Commission progress tracking
✓Original IP introduction
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What's New in 万叙集
2.1.8
July 15, 2026
1、新增分享主页功能； 2、新增按世界观排序oc功能； 3、其他优化。 4、修复ios15的编辑关系界面的闪退问题。
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In-App Purchases
$14.99
10000万叙币
购买可得10000万叙币
User reviews
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FAQ
What is 万叙集 used for?
万叙集 is designed to help users archive and manage their original characters (OCs), create unique worldviews for them, and track their growth. It also assists in managing commissioned artists and their payment details.
Does 万叙集 have ads?
Yes, 万叙集 contains advertisements. As it is a free application with in-app purchases, ads are part of the monetization model.
What kind of content can be stored in 万叙集?
万叙集 allows for extensive storage of OC information, documents, and image galleries. Users can also record details about commissioned artists, including their platform names and payment methods.
How does 万叙集 help with commissioned artists?
You can record information about artists you commission or are familiar with, setting exclusive tags, noting their platform names, and payment methods. The app also allows you to customize the tracking of the commission process.
What is the age rating for 万叙集?
万叙集 has an age rating of 4+, making it suitable for a wide range of users.
On which devices can 万叙集 be used?
万叙集 is available on iPhone, iPad, and iPod devices.
How often is 万叙集 updated?
The latest version, 2.1.2, was released on June 29, 2026, indicating regular updates to the application.
What is the user sentiment for 万叙集 based on ratings?
Based on the provided data, 万叙集 has a rating of 2.0 stars from 1 rating, suggesting a potentially negative user experience or a very small sample size.