# 6.4Incentive Framework

Visuallyze’s incentive system is designed to reward measurable contributions rather than speculative behavior. It follows several principles:

#### Guiding Principles

* **Contribution-Proportional:** Rewards scale with the verifiable amount and impact of individual contributions.
* **Transparent & On-Chain:** Receipts for training, data usage, or model integration form the backbone of the reward system.
* **Long-Term Aligned:** Token flows are structured to reinforce sustained participation rather than short-term extraction.
* **Sybil-Resistant:** Quality metrics, marketplace feedback, and identity heuristics help mitigate gaming attempts.

#### Reward Streams

* Distributed training → Compute rewards
* High-quality datasets → Data contribution rewards
* Model publishing and adoption → Creator rewards
* Evaluation tasks → Curation rewards
* Marketplace activity → Integration rewards

The incentive infrastructure ensures that Visuallyze evolves as a **self-growing**, **self-sustaining** AI economy.


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