Briefing
The core research problem is the prohibitive computational cost for proof-serving nodes in stateless blockchain architectures to maintain and update user-specific inclusion proofs across all state changes. The paper proposes Cauchyproofs, a novel batch-updatable vector commitment scheme that refines the KZG polynomial commitment by introducing a matrix representation utilizing Cauchy matrices. This mechanism transforms the proof update complexity from a linear dependency on the product of users and transactions to a quasi-linear function of their sum. The most important implication is the practical viability of stateless blockchain adoption at high transaction throughputs, fundamentally resolving the state growth crisis by reducing the required computational resources by an order of magnitude.
Context
Prior to this work, the established method for achieving a succinct global state in a blockchain relied on dynamic vector commitments. These cryptographic primitives allowed full nodes to store only a constant-sized commitment digest, shifting the computational burden of updating individual account proofs for every transaction batch onto the proof-serving layer. This existing paradigm resulted in a proof update complexity that scaled poorly, requiring O(|α| · |β|) time, where |α| is the number of users and |β| is the number of transactions. This quadratic-scaling bottleneck made it computationally impractical to support large user bases and high transaction volumes simultaneously.
Analysis
Cauchyproofs introduces a fundamental architectural shift by leveraging a novel matrix representation for KZG proofs based on Cauchy matrices. This allows the system to process a batch of updates (transactions) and a batch of proofs (users) not as a series of individual, dependent updates, but as a single, highly parallelizable matrix operation. The core mechanism transforms the proof update algorithm from a quadratic-scaling operation to one that is quasi-linear, specifically O((|α| + |β|) log2 (|α| + |β|)). This reduction in complexity is achieved by optimizing the underlying elliptic curve operations required to compute the necessary global update information and subsequently update the individual proofs, substantially reducing the computational burden on proof-serving nodes.
Parameters
- Complexity Reduction ∞ O(|α| · |β|) to O((|α| + |β|) log2 (|α| + |β|)) – The asymptotic change in time complexity for batch-updating proofs, where |α| is the number of users and |β| is the number of transactions.
- Performance Gain ∞ Approximately eight times faster – The measured speedup over the naive approach when performing hourly batch updates at Ethereum-level transaction throughput.
- Core Primitive ∞ Cauchy matrix representation – The novel mathematical structure used to optimize the underlying KZG polynomial commitment scheme.
Outlook
This breakthrough immediately opens new research avenues in optimizing the constant factors of polynomial commitment schemes and their application to data availability sampling. In the next three to five years, this theory will be integrated into next-generation L1 and L2 architectures, enabling truly stateless clients that can synchronize with the network using minimal resources. The practical application is the democratization of full-node participation, allowing a new class of light clients and mobile devices to securely verify the entire state history without sacrificing decentralization or security.
Verdict
Cauchyproofs establishes a new complexity frontier for dynamic vector commitments, making the foundational goal of a truly scalable and decentralized stateless blockchain practically achievable.
