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Ye Yuan

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Oct 2026

LFAMLedger: Account Migration Across Blockchain Shards Using a Lock-Free Mechanism

With the development of sharded blockchains, account migration mechanisms migrate accounts selected by account partition algorithms from the source shard to the target shard, aiming to reduce cross-shard transactions and balance the load. Moreover, the cost of account migration plays a critical role in determining the effectiveness of partitioning algorithms, as performance gains from resharding depend on cost-efficiency. Therefore, an efficient and low-overhead migration mechanism is critical to improving the performance of sharded blockchains. Existing migration approaches require cross-shard locks or intra-shard locks, which causes service interruption. However, we observe that account states remain unchanged during migration, indicating that such lock-based mechanisms are overly restrictive. To this end, we propose a novel Lock-Free Account Migration ledger, denoted as LFAMLedger, which consists of a prewrite phase and a migration phase. LFAMLedger ensures data consistency and lock-free migration through timestamp-based multi-version snapshots and a deferred validation mechanism. Furthermore, we propose optimistic snapshot isolation to decouple the source and target shards, and a flexible strategy to enable concurrent migration of accounts and their associated transactions to multiple target shards. We conduct extensive scalability experiments based on real Ethereum transaction histories. Compared with cross-shard lock-based and intra-shard lock-based migration approaches, our lock-free LFAMLedger achieves 1.9× and 1.8× higher throughput, and reduces latency by 2.35× and 1.75×, respectively, demonstrating significant improvements in efficiency.

Shuai Zhao, Zhiwei Zhang, Jun-Kai Wang et al. · 0 citations
Jul 2026

CHILL-Harness: Counterfactual Harness Learning for Efficient Reasoning in Long-Horizon Agents

CHILL-Harness intervenes at the orchestration layer to enable advantage-guided workflow adaptation, thereby improving reasoning and execution efficiency while preserving task performance and incorporating a success-preserving objective and advantage-margin authorization constraints into CHILL-Harness to promote reliable adaptation.

Jiarun Fu, Lizhong Ding, Si-Da Chen et al. · 0 citations

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