migration: pirc: PiRC1 Framework

PiRC1/4-allocation/4-allocation design 1.md

@@ -151,4 +151,56 @@ xychart-beta
 - Starting LP spot price is $p_{list} = \frac{C}{T}$
 - Highly engaged participants pay $0.909p_{list}$. Medimum engaged participants pay $0.952p_{list}$. Least engaged participants pay $p_{list}$
 
+---
+
+## 4.X Allocation Invariants and Consistency Conditions
+
+To preserve economic integrity and deterministic behavior of the allocation model,
+the following invariants must hold:
+
+### (1) Emission Conservation
+
+Total tokens distributed to participants must equal:
+
+Tpurchase + Tengage
+
+Formally:
+
+Σ_i (t_i^base + t_i^engage) = Tpurchase + Tengage
+
+---
+
+### (2) Liquidity Conservation
+
+All committed Pi must enter the Liquidity Pool:
+
+Σ_i c_i = C
+
+The LP must be initialized strictly with:
+
+(C, Tliquidity)
+
+No intermediate swap operation is allowed during initialization.
+
+---
+
+### (3) Monotonicity
+
+For any two participants i and j within the same engagement tier:
+
+If c_i > c_j  ⇒  t_i^base > t_j^base  
+If c_i > c_j  ⇒  t_i^engage ≥ t_j^engage  
+
+---
+
+### (4) Determinism
+
+Given identical inputs:
+
+{c_i}, engagement ranks {r_i}, and fixed parameters,
+
+the allocation outcome must be uniquely determined.
+
+No stochastic or discretionary adjustment may alter final token amounts.
+
 Next: [`5-tge-state`](<../5-tge-state/5-tge-state design 1.md>)

PiRC1/6-adaptive-proof-of-contribution.md

@@ -0,0 +1,166 @@
+# 6 — Adaptive Proof of Contribution (APoC)
+
+## Overview
+Adaptive Proof of Contribution (APoC) is an AI-assisted reward allocation layer designed to complement the existing ecosystem token allocation models.
+
+Instead of distributing tokens purely based on activity quantity, APoC evaluates **quality, authenticity, economic impact, and trustworthiness** of contributions.
+
+Goal:
+Transform token distribution from "activity mining" → "value mining".
+
+---
+
+## Problem Addressed
+
+Traditional Web3 incentive models suffer from:
+
+- Bot farming
+- Sybil attacks
+- Engagement spam
+- Liquidity extraction behavior
+- Short-term participation incentives
+
+Even activity-based models can be gamed if quantity > quality.
+
+APoC introduces a dynamic scoring layer to ensure:
+> Tokens flow to contributors who create real economic value.
+
+---
+
+## Core Concept
+
+Each participant receives a dynamic **Contribution Score (CS)**:
+
+CS = Activity × Impact × Trust × NetworkEffect × Integrity
+
+Reward emission is proportional to CS instead of raw activity.
+
+---
+
+## Contribution Score Components
+
+### 1. Activity Score (A)
+Measures measurable actions:
+- Transactions
+- Purchases
+- Listings
+- Development commits
+- Service usage
+
+Normalized logarithmically to prevent spam inflation.
+
+---
+
+### 2. Impact Score (I)
+Measures economic usefulness:
+- User retention caused
+- Volume generated
+- Repeat usage
+- External adoption
+
+---
+
+### 3. Trust Score (T)
+Derived from:
+- Account age
+- KYC confidence
+- Historical behavior
+- Dispute history
+- Counterparty feedback
+
+Non-transferable and slowly changing.
+
+---
+
+### 4. Network Effect Score (N)
+Rewards users who bring valuable participants:
+- Active referrals
+- Builder ecosystems
+- Marketplace creation
+
+Not based on count — based on downstream contribution quality.
+
+---
+
+### 5. Integrity Score (G)
+AI fraud detection output:
+- Bot probability
+- Sybil clustering detection
+- Abnormal interaction patterns
+- Velocity anomalies
+
+If flagged → reward decay multiplier applies.
+
+---
+
+## Final Formula
+
+RewardShare = CS_user / Σ(CS_all_users)
+
+TokenReward = DailyEmission × RewardShare
+
+---
+
+## Emission Dampening
+To prevent reward draining:
+
+If ecosystem velocity spikes:
+EmissionRate decreases
+
+If ecosystem utility increases:
+EmissionRate increases
+
+---
+
+## Anti-Manipulation Design
+
+| Attack Type | Mitigation |
+|-----------|------|
+| Bot farms | Behavioral clustering AI |
+| Sybil accounts | Graph identity analysis |
+| Wash trading | Economic circularity detection |
+| Spam actions | Log normalization |
+| Referral abuse | Downstream contribution weighting |
+
+---
+
+## Architecture
+
+Client Activity → App Server → AI Scoring Engine → Oracle → Smart Contract
+
+AI does NOT distribute tokens.
+AI only produces a signed Contribution Score.
+
+Smart contract verifies signature and releases rewards trustlessly.
+
+---
+
+## Smart Contract Pseudocode
+
+```solidity
+struct Contribution {
+    uint256 score;
+    uint256 timestamp;
+}
+
+mapping(address => Contribution) public contributions;
+
+function submitScore(
+    address user,
+    uint256 score,
+    bytes calldata oracleSignature
+) external {
+
+    require(verifyOracle(user, score, oracleSignature), "Invalid oracle");
+
+    contributions[user] = Contribution(score, block.timestamp);
+}
+
+function claimReward() external {
+
+    uint256 reward = calculateReward(msg.sender);
+
+    require(reward > 0, "No reward");
+
+    token.mint(msg.sender, reward);
+}

PiRC2_Implementation_Pack/PROPOSAL_V2.md

@@ -0,0 +1,14 @@
+# PiRC2 & PiRC-45: Integrated Economic & Technical Framework
+
+## 1. Mathematical Specification (WCF)
+The Working Capital Factor (WCF) is calculated as:
+$$WCF_{t} = (WCF_{t-1} \cdot e^{-\lambda \Delta t}) + \alpha \sum \ln(V_i + 1)$$
+
+## 2. Technical Scope
+- **PiRC-45:** Standardizes Metadata Schema to resolve Issue #16.
+- **PiRC2:** Introduces the "Justice Engine" on Soroban Smart Contracts.
+
+## 3. Threat Model & Mitigations
+- **Sybil Attacks:** Mitigated via PoV (Proof of Value) using PiRC-45 metadata.
+- **State Bloat:** Mitigated via Lazy State Initialization.
+

PiRC2_Implementation_Pack/PiRC2Connect.js

@@ -0,0 +1,35 @@
+/**
+ * PiRC2 Connect SDK v1.0
+ * Unified interface for Retail, Gaming, and Services.
+ */
+class PiRC2Connect {
+    constructor(apiKey, sector) {
+        this.apiKey = apiKey;
+        this.sector = sector;
+        this.protocolFee = 0.005; // 0.5% fixed fee
+    }
+
+    async createPayment(amount, description) {
+        const feeAmount = amount * this.protocolFee;
+        console.log(`[PiRC2-${this.sector}] Initiating Payment...`);
+
+        const txPayload = {
+            total: amount,
+            net_to_merchant: amount - feeAmount,
+            protocol_fee: feeAmount,
+            metadata: {
+                desc: description,
+                pirc2_compliant: true,
+                timestamp: Date.now()
+            }
+        };
+
+        // Logic to interface with Pi Wallet goes here
+        return txPayload;
+    }
+}
+
+// Usage Example:
+// const retailApp = new PiRC2Connect("STORE_001", "Retail");
+// retailApp.createPayment(100, "Coffee & Sandwich");
+

PiRC2_Implementation_Pack/PiRC2JusticeEngine.sol

@@ -0,0 +1,37 @@
+// SPDX-License-Identifier: MIT
+pragma solidity ^0.8.24;
+
+/**
+ * @title PiRC2 Justice Engine
+ * @author Muhammad Kamel Qadah
+ * @notice Protects Mined Pi by applying the 10,000,000:1 Weighted Contribution Factor.
+ */
+contract PiRC2JusticeEngine {
+    // Constants for WCF (Weighted Contribution Factor)
+    uint256 public constant W_MINED = 10**7; // Weight: 1.0 (internal precision)
+    uint256 public constant W_EXTERNAL = 1;  // Weight: 0.0000001
+
+    struct PioneerProfile {
+        uint256 minedBalance;    // Captured from Mainnet Snapshot
+        uint256 externalBalance; // Bought from exchanges
+        uint256 engagementScore; // Bonus for real-world usage
+    }
+
+    mapping(address => PioneerProfile) public registry;
+    uint256 public totalGlobalPower;
+
+    // Updates the power (L_eff) of a wallet
+    function getEffectivePower(address _pioneer) public view returns (uint256) {
+        PioneerProfile memory p = registry[_pioneer];
+        // Formula: L_eff = (Mined * 10,000,000) + (External * 1)
+        uint256 basePower = (p.minedBalance * W_MINED) + (p.externalBalance * W_EXTERNAL);
+
+        if (p.engagementScore > 0) {
+            return basePower + (basePower * p.engagementScore / 100);
+        }
+        return basePower;
+    }
+
+    // Records fee contribution to the global pool
+    receive() external payable {}
+}

PiRC2_Implementation_Pack/PiRC2Metadata.json

@@ -0,0 +1,21 @@
+{
+  "protocol": "PiRC2",
+  "version": "2.0",
+  "asset_classification": {
+    "type": "Mined_Pi",
+    "wcf_multiplier": 10000000,
+    "liquidity_status": "Locked_Escrow",
+    "provenance": "Original_Mining_Phase"
+  },
+  "utility_sectors": [
+    "Retail",
+    "Gaming",
+    "Advertising",
+    "RealEstate"
+  ],
+  "compliance": {
+    "product_first": true,
+    "zero_inflation": true
+  }
+}
+

PiRC2_Implementation_Pack/PiRC2Simulator.py

@@ -0,0 +1,26 @@
+import math
+
+class PiRC2Economy:
+    def __init__(self, initial_tvl=0, fee_rate=0.005):
+        self.tvl = initial_tvl
+        self.fee_rate = fee_rate
+
+    def simulate_growth(self, daily_volume, days=365):
+        print(f"{'Day':<10} | {'Daily Volume (Pi)':<20} | {'Total TVL (Pi)':<20}")
+        print("-" * 55)
+
+        current_volume = daily_volume
+        for day in range(1, days + 1):
+            fees = current_volume * self.fee_rate
+            self.tvl += fees
+
+            if day % 30 == 0: # Print update every month
+                print(f"{day:<10} | {current_volume:<20,.2f} | {self.tvl:<20,.2f}")
+
+            # 1% organic growth in daily usage due to PiRC2 adoption
+            current_volume *= 1.01
+
+# Example Run: Start with 1 Million Pi daily transaction volume
+pirc2 = PiRC2Economy()
+pirc2.simulate_growth(daily_volume=1000000)
+