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LILLIUS White Paper
  • 🌐ENGLISH
    • 0. Disclaimer
    • 1. Abstract
    • 2. Executive Summary
    • 3. Project Background
    • 4. Market Overview
      • 4.1 Healthcare & Fitness Market
      • 4.2 Blockchain Market
    • 5. Industry Pain Point
      • 5.1 The exercise-related industry
      • 5.2 Pain Points in the Web3 Industry
    • 6. Target Analysis
      • 6.1 Characteristics and trends of Gen MZ
      • 6.2 Healthcare Content for Generation MZ
      • 6.3 Leveraging Generation MZ's digital devices
    • 7. Business & Technical Logics
      • 7.1 AI motion analysis system
      • 7.2 The momentum measurement and device linkage system
      • 7.3 NFT membership
      • 7.4 Training Program
      • 7.5 The content of LILLIUS is spreading worldwide
      • 7.6 Token Utility
      • 7.7 Web3 community
      • 7.8 Content commerce
    • 8. Ecosystem
    • 9. Case Study
    • 10. Competitive Landscape
    • 11. Technical Overview
      • 11.1 Service Architecture
      • 11.2 Blockchain (Polygon Chain)
      • 11.3 AI Motion Analysis Technology
      • 11.4 Patent
    • 12. Token Economics & Fund
      • LLT Token Economices
      • Token Allocation
      • Token Vesting Schedule
      • LLT Training Reward Vesting Plan
    • 13. Roadmap
    • 14. Team & Advisors
      • 14.1 Team
      • 14.2 Advisors
  • 🇰🇷KOREAN
    • 0. Disclaimer
    • 1. Abstract
    • 2. Executive Summary
    • 3. Project Background
    • 4. Market Overview
      • 4.1 헬스케어 & 피트니스 시장
      • 4.2 블록체인 시장
    • 5. Industry Pain Point
      • 5.1 운동 산업의 Pain Point
      • 5.2 Web3 산업의 Pain Point
    • 6. Target Analysis
      • 6.1 MZ세대의 특징과 트렌드
      • 6.2 MZ세대의 건강관리 콘텐츠
      • 6.3 MZ세대의 디지털 기기 활용
    • 7. Business & Technical Logics
      • 7.1 AI 동작분석 시스템
      • 7.2 운동량 측정과 디바이스 연동 시스템
      • 7.3 NFT 멤버십
      • 7.4 트레이닝 프로그램
      • 7.5 전세계로 뻗어나가는 릴리어스 콘텐츠
      • 7.6 토큰 유틸리티
      • 7.7 Web3 커뮤니티
      • 7.8 콘텐츠 커머스
    • 8. Ecosystem
    • 9. Case Study
    • 10. Competitive Landscape
    • 11. Technical Overview
      • 11.1 서비스 아키텍처
      • 11.2 블록체인 (폴리곤 체인)
      • 11.3 AI 동작분석기술
      • 11.4 특허
    • 12. Token Economics & Fund
      • LLT Token Economics
      • Token Allocation
      • Token Vesting Schedule
      • LLT Training Reward Vesting Plan
    • 13. Roadmap
    • 14. Team & Advisors
      • 14.1 Team
      • 14.2 Advisors
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  1. ENGLISH
  2. 12. Token Economics & Fund

LLT Training Reward Vesting Plan

PreviousToken Vesting ScheduleNext13. Roadmap

Last updated 8 months ago

The LLT Training Reward Vesting Plan is a key component of LLT tokenomics, designed to forecast and regulate the distribution of reward tokens in order to maintain a healthy token economy. This plan includes strategies to adjust the token supply in circulation depending on various circumstances. If the actual developments deviate from the forecasts or if additional regulation of the circulating supply is required, the Vesting Plan may be subject to changes.

The following factors have been considered in the forecasts:

[Details of the factors considered for the forecast].

User Inflow Speed and Sweat Accumulation Prediction

The accumulation of Sweat is adjusted based on the rate of user inflow, exercise difficulty, the number of missions such as raffles, and airdrop ratios, in order to control the amount of LLT rewards.

User Exercise Proficiency Prediction

As users continue to regularly use the LILLIUS app, their exercise proficiency increases over time, raising their chances of achieving higher scores in training and challenge content.

Therefore, the difficulty of exercise performance evaluation is adjusted in accordance with users' exercise proficiency.

LILLI NFT Upgrade Rate Prediction

The higher the upgrade level of LILLI NFT, the more energy users receive, leading to increased LLT rewards. Consequently, the LLT Reward pool may deplete faster. The predicted upgrade speed is based on the assumption that all LLT needed for upgrading is obtained through Training Rewards. However, if early users acquire LLT through other means and use it for NFT upgrades, the LLT Vesting speed may be faster than anticipated.

Prevent inflation from occurring

When LILLI NFTs are upgraded or raffles that require a large amount of Sweat are opened, the ratio of additional LLT in circulation compared to the existing supply will gradually increase at certain points. This will inevitably lead to LLT inflation, and to prepare for such situations, adjustments to the circulating supply will be necessary. Once more than 50% of the total LLT reward pool is vested, the plan is to regulate the circulating supply by adjusting the ratio of Sweat earned per energy consumed and the amount of LLT that can be received through raffle participation using Sweat.

Early depletion of reward pool

Unforeseen developments may cause the Reward pool to be depleted earlier than expected. Exceeding the allocated Vesting Pool for the period will consume the remaining T2E supply, and eventually, when the T2E tokens allocated for rewards are exhausted, the Training Reward LLT payout will end.

Vesting Plan

Based on the aforementioned projections, the Vesting Plan is structured like a pyramid that rises gradually at the outset, reaches its peak, and then tapers off. The plan is designed to align with the probability density function of the normal distribution among various pyramid-shaped chart models. It involves adjusting the Vesting quantity every 3 months (90 days) to ensure a balanced distribution.

The model following the Vesting Plan adopts a normal distribution with a mean of 30 and a standard deviation of.

For reference, when it is (normally distributed with mean μ and standard deviation σ), the probability density function f of X is:

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