Semigroup-JEPA: Latent Dynamics Consistency for Zero-Shot Physics Generalization
研究通过引入Semigroup-JEPA模型，利用动作条件和自回归潜变量展开方法改进了JEPA框架，以提高物理动态学习能力和泛化性能。
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Shelby: Decentralized Storage Designed to Serve
Existing decentralized storage protocols fail to meet the throughput, latency, cost, and availability requirements of Web3 data-intensive applications—such as video streaming and AI training—forcing continued reliance on centralized infrastructure. This work proposes a high-performance decentralized storage protocol addressing these limitations. Its core contributions are: (1) a clean separation of control and data planes; (2) low-overhead erasure coding coupled with minimal repair bandwidth mechanisms; and (3) a lightweight cryptographic auditing protocol that ensures strong cryptographic-economic security without compromising performance. The system leverages a purpose-built backbone network interconnecting RPC and storage nodes, and supports a pay-per-read incentive model. Experimental evaluation demonstrates that the protocol achieves throughput and latency approaching Web2-level performance, significantly enhancing feasibility for read-intensive production workloads. This advancement enables truly decentralized Web3 data applications.
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Semigroup-JEPA: Latent Dynamics Consistency for Zero-Shot Physics Generalization
研究通过引入Semigroup-JEPA模型，利用动作条件和自回归潜变量展开方法改进了JEPA框架，以提高物理动态学习能力和泛化性能。
0 citationsRead paper
Shelby: Decentralized Storage Designed to Serve
Existing decentralized storage protocols fail to meet the throughput, latency, cost, and availability requirements of Web3 data-intensive applications—such as video streaming and AI training—forcing continued reliance on centralized infrastructure. This work proposes a high-performance decentralized storage protocol addressing these limitations. Its core contributions are: (1) a clean separation of control and data planes; (2) low-overhead erasure coding coupled with minimal repair bandwidth mechanisms; and (3) a lightweight cryptographic auditing protocol that ensures strong cryptographic-economic security without compromising performance. The system leverages a purpose-built backbone network interconnecting RPC and storage nodes, and supports a pay-per-read incentive model. Experimental evaluation demonstrates that the protocol achieves throughput and latency approaching Web2-level performance, significantly enhancing feasibility for read-intensive production workloads. This advancement enables truly decentralized Web3 data applications.
0 citationsRead paper