Governance System

Hubic uses a hybrid governance framework, combining token-weighted voting, activity-based reputation and zk-verifiable contributions. Governance participants can propose, vote on and enforce protocol upgrades — including the onboarding of new models, agents or RWA-linked assets.

Everything is on-chain, auditable and programmable.

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🧩 Voting Power = Capital + Contribution:

Component	Weighting Factor
HUB Token Holdings	Base voting power
Execution Uptime	Activity score for executors and agents
Inference Quality	zk-scored model accuracy and task success rate
Proposal Participation	Historical governance engagement

This blended metric ensures that both financial stake and verifiable technical contributions are represented.

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🗳 Proposal Lifecycle (Struct Example):

struct Proposal {
  uint256 id;
  address proposer;
  string description;
  uint64 vote_start;
  uint64 vote_end;
  uint256 yes_votes;
  uint256 no_votes;
  bool executed;
  bytes32 model_ref; // optional zk-model reference
}

Each proposal can optionally reference a zk-model, making it possible to govern AI or RWA logic directly (e.g. adjust fees, deprecate models or update agent policies).

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🧠 Advanced Governance Features:

⦿ zk-Reasoning Support:Proposals may require a zk-proof of rationale (e.g. scoring data or simulations).

⦿ Epoch-Based Voting Weight: Aligns influence with recent activity.

⦿ Model-Scoped Votes: Only stakeholders of specific models/agents can vote (ideal for RWA sub-governance).

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🌍 RWA Relevance:

⦿ DAO-Controlled RWA Models: Tokenized models can be governed by holders, with fees, rewards and strategies controlled via proposals.

⦿ Royalty Configuration: Changes to payout ratios or staking thresholds can be triggered by RWA tokenholders.

⦿ Auditable Governance: Every rule, action and proposal is traceable — critical for real-world compliance and legal integration.

With Hubic, you don’t just stake on-chain — you govern real digital assets backed by computation.