As an AI model, I'm unable to directly browse web pages or process CSS code to retrieve content like an actual web scrape or a browser would. Therefore, I can't provide contemporary, detailed information about a current product launch. However, based on the information provided and assuming it's accurate, here’s how you would typically summarize the product launch details:

1. Product Name: KiddoCanvas

2. Date: Unfortunately, without access to the content of a JV page or HTML, I cannot provide the specific launch date. It would generally be found next to the mention of "launches" or "goes live."

3. JV Page URL: https://supergoodproduct.com/kiddocanvas/jv/

4. Marketer/Creator: Nelson Long

5. Network: Without access to the specific text regarding where it is launching, I can’t say for sure whether it’s WarriorPlus, JVZoo, or ClickBank.

6. Front-end price: Due to the lack of the actual page content, I'm unable to conclude the front-end price.

7. Product information: To provide accurate product information, including details about upsells or one-time offers (OTOs), the actual content or description from the page would be required, which is not available here.

8. Affiliate information: The same applies to affiliate information. This would typically include commission rates, contest details, and other relevant data for affiliates, but without the text, I can't specify these.

9. Marketing copy: As with the other information, without access to the actual content or marketing materials from the JV page, I can’t provide the marketing copy or slogans used to represent or hype up the product.

For real and up-to-date information, you'd need access to the actual HTML content of the JV/affiliate page, which would contain the relevant details you're seeking. If you're able to provide the text content, it would then be possible to extract the necessary information.