A four-agent LLM pipeline retrieves known Solidity gas-waste patterns, proposes new ones, and automatically verifies and applies the fixes, saving about 10% deployment gas on 82% of real contracts.
A Two-Layer Blockchain Sharding Protocol Leveraging Safety and Liveness for Enhanced Performance
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abstract
Sharding is essential for improving blockchain scalability. Existing protocols overlook diverse adversarial attacks, limiting transaction throughput. This paper presents Reticulum, a groundbreaking sharding protocol addressing this issue, boosting blockchain scalability. Reticulum employs a two-phase approach, adapting transaction throughput based on runtime adversarial attacks. It comprises "control" and "process" shards in two layers. Process shards contain at least one trustworthy node, while control shards have a majority of trusted nodes. In the first phase, transactions are written to blocks and voted on by nodes in process shards. Unanimously accepted blocks are confirmed. In the second phase, blocks without unanimous acceptance are voted on by control shards. Blocks are accepted if the majority votes in favor, eliminating first-phase opponents and silent voters. Reticulum uses unanimous voting in the first phase, involving fewer nodes, enabling more parallel process shards. Control shards finalize decisions and resolve disputes. Experiments confirm Reticulum's innovative design, providing high transaction throughput and robustness against various network attacks, outperforming existing sharding protocols for blockchain networks.
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cs.AI 1years
2025 1verdicts
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GasAgent: A Multi-Agent Framework for Automated Gas Optimization in Smart Contracts
A four-agent LLM pipeline retrieves known Solidity gas-waste patterns, proposes new ones, and automatically verifies and applies the fixes, saving about 10% deployment gas on 82% of real contracts.