Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
96 tokens/sec
Gemini 2.5 Pro Premium
51 tokens/sec
GPT-5 Medium
36 tokens/sec
GPT-5 High Premium
34 tokens/sec
GPT-4o
96 tokens/sec
DeepSeek R1 via Azure Premium
91 tokens/sec
GPT OSS 120B via Groq Premium
466 tokens/sec
Kimi K2 via Groq Premium
148 tokens/sec
2000 character limit reached

Historical and Multichain Storage Proofs (2411.00193v1)

Published 31 Oct 2024 in cs.CR

Abstract: This paper presents a comprehensive analysis of storage proofs in the Ethereum ecosystem, examining their role in addressing historical and cross-chain state access challenges. We systematically review existing approaches to historical state verification, comparing Merkle Mountain Range (MMR) and Merkle-Patricia trie (MPT) architectures. An analysis involves their respective performance characteristics within zero-knowledge contexts, where performance challenges related to Keccak-256 are explored. The paper also examines the cross-chain verification, particularly focusing on the interactions between Ethereum and Layer 2 networks. Through careful analysis of storage proof patterns across different network configurations, we identify and formalize three architectures for cross-chain verification. By organizing this complex technical landscape, this analysis provides a structured framework for understanding storage proof implementations in the Ethereum ecosystem, offering insights into their practical applications and limitations.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Follow-up Questions

We haven't generated follow-up questions for this paper yet.

Don't miss out on important new AI/ML research

See which papers are being discussed right now on X, Reddit, and more:

“Emergent Mind helps me see which AI papers have caught fire online.”

Philip

Philip

Creator, AI Explained on YouTube