SN73とは

Executive Summary

Merit (SN73) serves as an innovative subnet within the Bittensor blockchain ecosystem, specifically designed to incentivize and validate the cross-participation of miners across different subnets. Diverging from conventional blockchain projects that often focus on computational tasks or transactional capabilities, Merit introduces a unique mechanism that rewards miners based on their active contributions throughout the Bittensor ecosystem. This approach not only promotes comprehensive engagement but also fosters decentralized participation through the Bittensor Miner Participation Score (BMPS), which quantifies a miner's ecosystem-wide involvement. Developed by an anonymous team operating under cryptographic identities, Merit leverages cryptographic verification and economic incentives to cultivate genuine contributions while simultaneously mitigating risks of exploitation. This project illustrates the evolving architecture of decentralized machine learning networks, underscoring the value of participation over solitary specialization.

1. Project Overview

Merit (SN73) functions as subnet #73 within the Bittensor network, a decentralized ecosystem that specializes in machine learning and artificial intelligence applications. Instead of centering around transactional capabilities or specific computational output like many conventional blockchain projects, Merit adopts a meta-incentive model. The subnet's primary goal is to incentivize and validate miners' active participation across various subnets within the Bittensor ecosystem. By doing so, it promotes network-wide engagement and rewards miners who contribute broadly to the network rather than specialize narrowly in just one area.

The innovative core of the project lies in the Bittensor Miner Participation Score (BMPS), a dynamic metric that quantifies a miner's involvement across multiple subnets. This shift from focusing solely on task-specific outputs to ecosystem participation aims to tackle prevalent challenges within decentralized networks, such as sybil attacks, uneven resource distribution, and misalignment of incentives. Operating without proprietary tokens, Merit integrates seamlessly with the broader ecosystem through Bittensor's native TAO tokenomics for reward distribution.

2. Foundational Architecture

2.1 Incentive Mechanism

Every epoch, which occurs approximately every hour, the validator network of Merit executes a sophisticated scoring protocol characterized by three key steps:

• Global Subnet Analysis: Validators conduct a survey of all active Bittensor subnets, excluding the root (netuid 0) and Merit itself (netuid 73).
• Hotkey-Centric Evaluation: For each miner registered on Merit, validators identify the corresponding hotkeys across the surveyed subnets and consolidate their incentive allocations.
• BMPS Calculation: The Bittensor Miner Participation Score is computed using the formula:

  bmps = (sum_of_incentives / active_subnets_minus_excluded) × 100,000  
  

  This normalization mechanism encourages miners to engage across a wider array of subnets, with higher participation yielding greater rewards.

2.2 Anti-Gaming Safeguards

To ensure authentic participation and to prevent exploitation, Merit implements a series of robust safeguards:

• TOTP-Secured Liveness Checks: Miners must cryptographically verify their online status using time-based one-time passwords generated from hotkey-seeded secrets, thereby preventing impersonation.
• IPv4 Validation: Reward eligibility is restricted to publicly routable IP addresses to combat the issue of unsubstantiated nodes.
• Penalty Protocols: Liveness checks that fail after two retries result in nullified epoch rewards, while type-enforced responses help avert inconsequential data submission.

2.3 Decentralized Validation

The integrity of Merit is maintained through a decentralized validation process involving up to 64 validators, each responsible for consensus-free verification. They independently calculate scores, fostering a system immune to central control while ensuring Byzantine fault tolerance through cryptographic proof aggregation.

3. Development and Governance

3.1 Creator Identity

The development of the Merit subnet is attributed to cryptographic identities rather than public figures or organizations. The identities are as follows:

• Coldkey: 5EcoXMiY…odf3 (ownership and administrative control)
• Hotkey: 5Dnkprjf…pFhW (operational validator functions)

These pseudonymous identities reflect Bittensor’s commitment to decentralized development, where the integrity of the protocol is prioritized over individual recognition. The actual contributors behind these keys are not publicly disclosed.

3.2 Funding and Backing

Operating primarily as an open-source protocol, Merit lacks traditional venture funding, relying instead on the community's contributions. This development model is traceable to the GitHub organization “fx-integral”, housing the main code repository. The absence of formal investors or token sales highlights the community-driven essence of the project. All technical contributions and developmental activity are transparent and can be scrutinized through commit histories.

4. Operational Framework

4.1 Miner Participation Workflow

The miner participation process encompasses several functional stages:

1. Registration: Miners register their respective hotkeys exclusively to subnet 73 through Bittensor’s on-chain procedures.
2. Cross-Subnet Engagement: Miners actively participate in various subnets—ranging from natural language processing to computer vision—to garner incentives.
3. Epoch Evaluation: Validators assess BMPS by aggregating the miner's incentive data from all non-excluded subnets, averaging across active contributions and applying liveness adjustments using TOTP verification.
4. Reward Distribution: The distribution of TAO emissions is determined by the normalized BMPS scores via the Bittensor's Yuma Consensus mechanism.

4.2 Validator Responsibilities

Validators enforce several critical functionalities without centralized coordination:

• Data Fetching: Each epoch, validators extract global metagraph data.
• Incentive Mapping: They match Merit-registered hotkeys with their activities across other subnets.
• Dynamic Weighting: The rewards depend on normalized scoring strategies, ensuring an equitable distribution of incentives.

5. Historical Evolution

5.1 Development Milestones

Key milestones along the development timeline include:

• April 2025: The whitepaper detailing BMPS mechanics and anti-gaming strategies was released.
• May 2025: The codebase stabilized, integrating TOTP-based authentication and IPv4 validation mechanisms.
• June 2025: Successful deployment onto the Bittensor mainnet with an operational subnet UID of 73.

6. Ecosystem Impact

Merit fundamentally redefines the incentive structures prevalent in decentralized machine learning networks. Its design promotes broad participation rather than specialization, with several notable implications:

1. Centralization Prevention: Miners cannot monopolize rewards by focusing solely on single high-yield subnets.
2. Enhanced Network Health: Diverse participation nurtures subnet interoperability and facilitates knowledge sharing.
3. Lowered Entry Barriers: New subnets can achieve immediate exposure through multi-subnet engagement by miners.
4. Alignment with Bittensor's Vision: The project embodies the principle of “collective intelligence,” fostering interdependence amongst subnet contributions.

Unlike traditional AI training subnets, Merit serves as a meta-layer crucial in ensuring equitable resource distribution while maintaining the integrity of the main network.

7. Technical and Conceptual Innovations

7.1 Bittensor Miner Participation Score (BMPS)

The BMPS introduces significant shifts in incentives:

• Cross-Subnet Normalization: Rewards are inversely related to the number of subnets, spurring miners to explore a diverse range of tasks.
• Liveness-Weighted Rewards: The contribution from pings constitutes only a minor percentage of total scores, hence placing greater emphasis on actual participation.
• Continuous Calibration: The denominator in the scoring process adapts dynamically to account for active subnets.

7.2 Decentralized Anti-Gaming

The security structure of Merit innovatively addresses multiple threats:

| Threat Vector | Mitigation Strategy |
|—————————-|———————————————|
| Single-subnet exploitation | Incentive averaging across the entire network|
| Fake node deployment | IPv4 validation and TOTP checks |
| Ghost miners | Nullification of zero scores in the event of failure |
| Data spoofing | Type-enforced response protocols |

This extensive security framework sets new benchmarks for preventing sybil attacks in decentralized networks, solidifying system resilience.

8. Future Development Trajectory

8.1 Protocol Upgrades

Potential avenues for enhancements to the protocol include:

• Dynamic Liveness Models: Adjusting ping frequency based on historical data regarding uptime.
• Subnet Popularity Index: Measurement of subnets by user activity to prevent exploitation arising from low-effort subnets.
• Alpha Token Integration: Exploring the use of specific tokens for incentivizing validators within the Bittensor context.

8.2 Ecosystem Expansion

Further development may accentuate:

• Inter-Subnet Reputation Systems: Linking BMPS to credibility scores across subnets.
• Validator Delegation: Enabling TAO stakeholders to delegate their stakes to Merit validators.
• Decentralized Auditing: Establishing on-chain verification of score accuracy to ensure transparency.

Conclusion

The project “Merit (SN73)” distinctly reworks the framework for incentive design in decentralized networks by recognizing and rewarding cross-participation of miners. Its innovative Bittensor Miner Participation Score establishes a fresh approach to discourage centralization and favor equity within machine learning ecosystems. Coupled with robust anti-gaming measures, it exemplifies the meritocratic ethos at the heart of decentralized applications. Through its anonymized, open-source development, Merit consolidates its relevancy as a structural component of the Bittensor ecosystem, ensuring that the focus remains on collective contributions rather than isolated achievements. The future outlook positions Merit as not only a vital player in decentralized AI but also as a potential blueprint for incentive structures across varied blockchain applications.