> For the complete documentation index, see [llms.txt](https://docs.xenea.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.xenea.io/whitepaper/future-works.md). # Future Works We have now released the Xenea mainnet. Moving forward, we plan to implement functions that make storage sustainable through SGM, as well as other functionalities related to DACS. In the future, the Web3 token economy will enable the movement of content not only to the world as we see it today, but also to diverse worlds. We are targeting the beyond-DX market, where actions change at the culture scale, and conducting research and development of metaverse infrastructure and underlying technologies to extend the Xenea and DACS use cases. Details have been announced separately, but the following is a list of items that were under research and development at the time: (1) Mobile User Mining Mobile User Mining promotes the decentralization of the Xenea by implementing Rep Node (Pool Service) to onboard more users to PoD. (2) Real Gravity Simulator in the Metaverse (RGRAV) RGRAV calculates the motion of each object such as water, mass, matter, animals, humans, weather, etc. using the gravity equation. (3) Real Entropy Simulator in the Metaverse (ENTS) ENTS performs all movements and actions by timeframes with a natural entropy manner. It is an entropy-based model of weather, wind, temperature, materials, human behavior, etc. (4) Non-fungible right mint image generator (RMINT) RMINT is a tool for creating symbolic images of intangible assets represented by NFTs and can generate any type of right asset NFT based on a photograph or image of the object. (5) Dynamic Contents Image Creator (DCIC) DCIC is a revolutionary model of data caching and its predictive functional model. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.xenea.io/whitepaper/future-works.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.