ƒxyz ℕetwork Whitepaper Draft

Status checkpoint: March 4, 2026.

The original whitepaper established the core intuition: money moves through networks, and modern finance needs graph-native infrastructure. This draft updates that thesis with current implementation reality and the research-backed roadmap.

Core Thesis

fXYZ models the economy as a multiplex network, not a single graph. The same entities participate across multiple relationship layers, and signal emerges only when those layers are analyzed together.

Baseline layer set in current research and architecture docs:

• Value
• Work
• Knowledge
• Governance
• Settlement
• Compliance / Legal
• Identity + Social

Transparent Finance. Intelligent Governance.

Current Implementation (Live Today)

1. Routing and arbitrage engine

• Bellman-Ford routing over exchange graphs
• Negative-cycle detection for arbitrage discovery
• Line-graph transformation for dense path optimization
• GraphQL queries exposed for route finding and arbitrage scans

Implementation surface: packages/neo4j/src/services/routing-engine.ts

2. Contribution and token synthesis logic

• CES-based synthesis across Florin, Joule, and House of Wisdom
• HHI diversity adjustment
• Decay logic for pending work/knowledge contributions
• Ring assignment and percentile-based contribution tiers

Implementation surface: packages/neo4j/src/services/contribution-score.ts

3. Network health metrics

• R0 systemic health indicator
• Circle temperature
• Shannon entropy
• Gini coefficient
• Participation coefficient across multiplex layers

Implementation surface: packages/neo4j/src/services/network-metrics.ts

4. Infrastructure and compliance base

• Solana mainnet token infrastructure active (Florin live)
• Graph-native backend centered on Neo4j services
• Polish VASP registration active; MiCA CASP path preparing
• Ongoing docs for governance, tokenomics, and compliance lifecycle

Research-Informed Roadmap (Not Fully Live Yet)

1. Full MeritRank rollout
   Personalized graph-based reputation with transitivity/connectivity decay mechanisms.

2. Graph-native AML detection
   node2vec + anti-centrality anomaly detection for suspicious structural behavior.

3. Multilayer visualization stack
   Concentric/ring + stacked-layer + terrain views over shared graph state.

4. Advanced governance mechanics
   Quadratic voting, conviction voting, and deeper delegation analytics.

5. Token economy calibration layer
   DeTEcT-style parameter calibration and multi-token dynamical simulation.

Architecture Direction

The direction is explicit:

• Move from single-layer intuition to formal multilayer computation.
• Keep public messaging simple: Problem -> Insight -> Product -> Proof.
• Keep technical claims tied to code that exists today.
• Keep research claims clearly marked as roadmap work.

Document Policy

This whitepaper is a living technical document. Major updates should include:

• date-stamped status notes,
• implemented-vs-planned separation,
• links to concrete code or docs,
• removal of claims that are no longer operationally true.