Merkle Mountain Ranges (MMRs) are a data structure similar to Merkle trees but designed for append-only logs, allowing for efficient verification of historical data without needing to recompute the entire tree. They represent a sequence of Merkle trees where new data is added by creating new trees or extending existing ones. This structure is particularly useful for light clients.
Context
News related to scalable blockchain solutions, especially those focused on light client synchronization or proofs of reserve, often mentions Merkle Mountain Ranges. Their ability to provide concise proofs of inclusion for very large datasets without storing all historical data is a significant technical advantage. MMRs are gaining attention in projects aiming for enhanced data verification efficiency.
This research establishes fundamental lower bounds on cryptographic accumulator witness updates, proving Merkle Mountain Ranges are optimally efficient.
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