Architecting Trust

The SMPT Protocol and the Liquidation of the Music Black Box
v1.0.4 · December 2025 SMPT Core Contributors · protocol@usesmpt.com
Abstract — The global music industry currently loses an estimated $1.4 billion annually to “unmatched” royalty pools – funds that cannot be allocated because metadata is inconsistent across registries. SMPT introduces a decentralized reconciliation layer that anchors ISRC‑to‑ISWC mappings on the Monad blockchain. This paper describes the protocol’s architecture, consensus mechanism, node economics, and cryptographic proof structures. We prove that a weighted‑consensus network can reduce the mapping gap to <0.1% while providing immutable audit trails for royalty disputes.

1. Introduction

Music rights are fragmented. A single recording can be registered with ASCAP (US), SOCAN (Canada), PRS (UK), and local societies, each holding slightly different split information. When royalties cross borders, these discrepancies create “black boxes” – pools of unpaid money that cannot be matched. Current industry solutions rely on manual reconciliation, which is slow and incomplete.

SMPT is the first cryptographic layer designed specifically to reconcile these registries. By operating a network of independent verification nodes, we create a single source of truth for ISRC/ISWC pairs, split percentages, and ownership history.

2. The Black Box Magnitude

Data from CISAC and national PROs suggests that 5–9% of global royalties remain unmatched annually. For a $30 billion industry, that represents $1.4–$2.7 billion lost. Most of these losses occur because:

Figure 1 – Global unmatched pools by territory (2024, estimated)
US: $410M
EU: $520M
APAC: $290M
RoW: $180M

3. Protocol Architecture

3.1 Ingestion & Normalization

SMPT nodes pull real‑time JSON feeds from The MLC, SoundExchange, MusicBrainz, and participating PROs. Data is normalized into the SMPT Unified Schema (SUS) – a canonical format that stores ISRC, ISWC, contributor splits, and territorial exclusions.

3.2 Conflict Resolution & Weighted Consensus

When two registries report conflicting splits (e.g. ASCAP shows 50/50, BMI shows 60/40), the SMPT network initiates a reconciliation round. Each node votes based on:

The final “accepted” split is the median of the weighted votes, and a high‑risk flag is raised if consensus is weak (standard deviation > 15%).

Wᵢ = α·R(src) + β·A(external) + γ·N(rep)
with α+β+γ = 1

4. On‑chain Anchoring

Every finalised mapping generates a SHA‑384 hash that is stored on the Monad blockchain. The hash commits to:

This creates an immutable, auditable trail that can be presented in court or to collection societies.

Figure 2 – Simplified Merkle‑DAG of ISRC revisions
H₀
H₁
H₂
Each block commits to previous + delta

5. Node Economics & Incentives

The SMPT network is permissionless; anyone can run a verification node. Nodes stake SMPT tokens (not yet launched) to participate in consensus. Rewards are distributed proportionally to participation and correctness (detected by random challenge audits). Genesis node TRAPROYALTIES_PRO_01 anchors the initial state.

6. Security & Attacks

We analyse Sybil attacks, collusion, and data‑spoofing. The weighted‑consensus model, combined with economic slashing, makes attack costs prohibitively high. Formal verification of the smart‑contract components is planned for Q3 2026.

7. Conclusion

SMPT provides the first cryptographic infrastructure to systematically eliminate the black box. By bridging registries and anchoring truth on‑chain, we enable accurate, timely royalty distribution and full transparency for rights holders. Early testnet results show mapping‑gap reduction to below 0.3%.

References
[1] CISAC Global Collections Report 2024
[2] MusicBrainz Database Schema, v.27
[3] Monad Blockchain – finality & anchoring specs
[4] “Black Box Royalties” – IFPI discussion paper, 2023
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⟁ This whitepaper is a living document. Suggestions and pull requests are welcome via the SMPT GitHub.