# Airdrop

## Community Tokens

The tokenomics of $CITRO were carefully designed to ensure that the use of funds directly contributes to the growth of the ecosystem, promoting the long-term prosperity of every community member. A significant portion of the token distribution <mark style="color:blue;">**— 46.5% - is allocated specifically for community**</mark> rewards, reflecting our commitment to fostering active participation and engagement within the ecosystem.

<figure><img src="/files/5vDGbAatEiVj9WNYkPwp" alt="" width="563"><figcaption></figcaption></figure>

Community tokens are divided into 2 main categories:&#x20;

* <mark style="color:blue;">**Short-term incentives**</mark>&#x20;
* <mark style="color:blue;">**Long-term rewards**</mark>&#x20;

Long-term rewards are aimed at fueling the ongoing development of the Citro ecosystem. These rewards include categories such as <mark style="color:blue;">**Community Rewards (20.0%) and Ecosystem Growth (26.5%)**</mark>, all of which are designed to ensure the continuous expansion and success of the platform.

To further reward early supporters, we are thrilled to introduce an <mark style="color:blue;">**airdrop program**</mark> that will distribute $CITRO tokens to our dedicated community members.&#x20;

Through this programs, and the broader structure of token allocation, the majority of the ecosystem’s tokens will either be placed directly in the hands of Citro community members or reinvested into the platform to drive its future development.&#x20;

This approach ensures that the Citro ecosystem thrives alongside its most important asset — its community.

## Airdrop Conditions


---

# Agent Instructions: 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://docs.citronus.com/citro-tokenomics/airdrop.md?ask=<question>
```

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.
