> For the complete documentation index, see [llms.txt](https://oceanea.gitbook.io/oceanea-litepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://oceanea.gitbook.io/oceanea-litepaper/ecosystem-architecture/reputation-and-contribution-system.md). # Reputation & Contribution System ### Long-Term Reputation Infrastructure Oceanea introduces a long-term reputation and contribution system designed to record meaningful ecosystem participation. Unlike traditional short-term incentive systems, the framework emphasizes persistent contribution accumulation. Activities that may contribute to reputation include: * Ocean exploration participation * Marine species discovery * Educational learning completion * Knowledge contribution * Rescue mission participation * Community support behavior * Content creation and sharing * Ecosystem collaboration *** ### Reputation Growth Reputation is designed as a dynamic growth trajectory rather than a static score. As participation depth increases, users may gradually unlock: * Higher ecosystem reputation levels * Expanded community participation rights * Governance influence * Priority activity participation * Advanced ecosystem opportunities The system is intended to reward long-term builders and contributors rather than purely transactional activity. *** ### Community Coordination The reputation framework is designed to strengthen: * Community trust * Ecosystem collaboration * Long-term participation * Sustainable contribution behavior The long-term objective is to create a network where ecosystem value is continuously reinforced through transparent participation history and contribution recognition. --- # 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: ``` GET https://oceanea.gitbook.io/oceanea-litepaper/ecosystem-architecture/reputation-and-contribution-system.md?ask= ``` The question should be specific, self-contained, and written in natural language. 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.