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  name: Cross-Chain Transactions Per Second (TPS)
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  - type: latency
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  value: 2.5
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- name: Average Cross-Chain Latency (seconds)
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-
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- # **Deep Solana R1 Model Description**
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-
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- **Model Name**: Deep Solana R1
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- **Developed By**: 8 Bit Labs, in collaboration with Solana Labs and DeepSeek
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- **Model Type**: Hybrid AI-Zero-Knowledge Proof Framework
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- **Framework**: Solana Blockchain + DeepSeek AI + Recursive ZK Proofs
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- **License**: Apache 2.0
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- **Release Date**: October 2024
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-
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- ---
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-
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- ## **Model Overview**
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- Deep Solana R1 is the **first production-ready framework** to unify **artificial intelligence (AI)**, **zero-knowledge proofs (ZKPs)**, and **high-performance blockchain technology** on Solana. Built on the foundation of **DeepSeek R1**, a 48-layer transformer model trained on **14 million Solana transactions**, Deep Solana R1 redefines scalability, privacy, and intelligence in decentralized systems.
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-
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- The model introduces **recursive neural proofs**, a novel cryptographic primitive that enables **privacy-preserving, context-aware smart contracts**. With **28,000 AI-ZK transactions per second (TPS)** and **93× faster ZK verification** than traditional systems, Deep Solana R1 sets a new standard for verifiable decentralized intelligence.
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-
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- ---
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-
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- ## **Key Innovations**
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-
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- ### **1. Recursive Zero-Knowledge Proofs (ZKRs)**
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- - **O(log n) Verification**: Achieves logarithmic proof verification time using FractalGroth16 proofs.
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- - **AI-Guided Batching**: DeepSeek R1 predicts optimal proof groupings to minimize latency.
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- - **Topology-Aware Pruning**: Reduces proof size by **78%** using patented algorithms.
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-
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- **Impact**:
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- - **0.3s proof time** (vs. 2.4s baseline).
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- - **0.002 SOL privacy cost** (vs. 0.07 SOL).
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-
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- ---
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-
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- ### **2. DeepSeek R1 AI Model**
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- - **48-Layer Transformer**: Trained on 14M Solana transactions for real-time optimization.
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- - **Self-Optimizing Circuits**: Adjusts ZK constraints based on live network data.
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- - **Fraud Detection**: Identifies malicious transactions with **94.2% accuracy**.
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-
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- **Features**:
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- - **AI-Knowledge Proofs (AKPs)**: Dynamically generates ZK constraints via reinforcement learning.
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- - **Neural Proof Compression**: Reduces proof size using topology-aware pruning.
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- - **Self-Optimizing Circuits**: Latency-aware proof strategies using real-time network metrics.
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-
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- ---
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-
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- ### **3. Hybrid Verification System**
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- - **ZK-SNARKs**: Base layer for transaction correctness.
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- - **Neural Attestations**: AI layer for contextual validation (e.g., fraud detection, market manipulation).
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-
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- **Mathematical Formulation**:
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- \[
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- \pi_{\text{final}} = \text{ZK-Prove}(\text{AI-Validate}(S_t), \mathcal{C}_{\text{AI}})
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- \]
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- *Where \( \mathcal{C}_{\text{AI}} \) = AI-optimized constraints.*
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-
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- ---
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-
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- ## **Performance Metrics**
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-
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- | **Metric** | **Baseline (Solana)** | **Deep Solana R1** |
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- |--------------------------|-----------------------|---------------------|
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- | Avg. Proof Time | 2.4s | 0.3s |
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- | Verification Throughput | 12K TPS | 28K TPS |
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- | Privacy Overhead | 0.07 SOL | 0.002 SOL |
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- | State Accuracy | N/A | 94.2% |
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- | Energy/TX (kWh) | 0.001 | 0.00037 |
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-
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- ---
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-
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- ## **Use Cases**
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-
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- ### **1. Decentralized Finance (DeFi)**
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- - **Private Swaps**: Trade tokens without exposing wallet balances.
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- - **AI-Optimized Yield Farming**:
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- ```solidity
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- contract AIVault {
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- function harvest() external {
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- AI.optimize(yieldStrategy); // Saves 40% in gas fees
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- }
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- }
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- ```
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-
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- ### **2. Healthcare**
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- - **ZK-Protected Records**: Share medical data without exposing patient IDs.
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-
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- ### **3. Government**
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- - **Fraud-Free Voting**: ZK proofs validate eligibility without revealing votes.
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-
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- ---
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-
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- ## **How to Use**
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-
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- ### **For Developers**
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- 1. Install the Deep Solana R1 SDK:
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- ```bash
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- npm install @solana/deep-solana-r1
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- ```
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- 2. Deploy a smart contract:
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- ```rust
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- use anchor_lang::prelude::*;
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-
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- #[program]
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- pub mod my_program {
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- use super::*;
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- pub fn initialize(ctx: Context<Initialize>) -> Result<()> {
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- Ok(())
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- }
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- }
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- ```
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-
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- ### **For Security Audits**
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- 1. Run a security scan:
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- ```bash
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- deep-solana-r1 scan --contract my_program.so
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- ```
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- 2. Review the security report:
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- ```json
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- {
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- "Risk Score": 2,
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- "Compute Unit Efficiency": "High",
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- "Vulnerabilities": [],
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- "Optimization Suggestions": []
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- }
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- ```
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-
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- ---
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-
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- ## **Ethical Considerations**
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- - **Privacy**: All transaction data is anonymized.
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- - **Transparency**: Datasets and code are open-source and auditable.
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- - **Energy Efficiency**: Recursive proofs reduce blockchain energy consumption by **63%**.
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-
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- ---
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-
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- ## **Limitations**
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- - **Quantum Vulnerability**: Not yet quantum-safe (planned for Q4 2024).
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- - **Adoption Curve**: Requires integration with existing Solana dApps.
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-
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- ---
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-
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- ## **Future Work**
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- - **Quantum-Safe Proofs**: Integration of ML-weakened lattices.
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- - **Decentralized Prover Networks**: Proof staking for enhanced scalability.
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-
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- ---
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-
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- ## **Citation**
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- If you use Deep Solana R1 in your research or projects, please cite:
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- ```bibtex
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- @misc{deepsolanar1,
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- title={Deep Solana R1: A Novel Framework for AI-Guided Recursive Zero-Knowledge Proofs on High-Performance Blockchains},
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- author={8 Bit Labs, Solana Labs, DeepSeek},
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- year={2024},
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- url={https://github.com/8bit-org/DeepSolanaR1}
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- }
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- ```
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-
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- ---
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-
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- ## **License**
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- Apache 2.0
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-
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- ---
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-
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- ## **Contact**
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- For questions, collaborations, or support, contact:
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- - **Email**: support@8bit.org
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- - **GitHub**: [github.com/8bit-org/DeepSolanaR1](https://github.com/8bit-org/DeepSolanaR1)
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-
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- ---
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-
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- **Visuals**:
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- - **Architecture Diagram**: [Link](https://i.imgur.com/deepseekzk.png)
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- - **Performance Benchmarks**: [Link](https://i.imgur.com/energyplot.png)
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-
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- ---
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- **Welcome to the future of Solana development. Fast, secure, and smarter than ever.** 🚀
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-
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- - 🐾 Chesh
 
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  name: Cross-Chain Transactions Per Second (TPS)
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  - type: latency
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  value: 2.5
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+ name: Average Cross-Chain Latency (seconds)