🛠️Testnet Incentive Mechanisms

Fixed Rewards

• Use cases: usability/flow walk‑throughs, baseline feedback.

• Risk control: caps per homogeneous task; device/address/identity limits; evidence template validation.

Dynamic Rewards

Base formula: S = α·T + β·Q + γ·F + δ·R

• T: task count (diminishing returns).

• Q: quality (adopted, repro steps, patch/PR).

• F: feedback effectiveness (response speed, repro success).

• R: reputation (SBT tier/history).

• Controls: tiered caps, per‑user pool limits, anomaly sampling for manual review.

• Use cases: bug bounty, complex path coverage, performance/boundary testing.

Custom Logic

• Auto‑claim queue: approved tasks → queued → released by priority/batch.

• Penalties & compensation: plagiarism/duplicates/scripts trigger penalties; false positives get appeals/compensation.

• Attribution rewards: high‑quality referrals/tutorials/secondary distribution earn weighted credit.