Data authenticity refers to the verifiable quality of information being genuine, original, and free from unauthorized alteration. Within blockchain systems, cryptographic hashing and immutable ledger entries provide a robust mechanism for proving data integrity. This ensures that records, once stored on the chain, cannot be tampered with or misrepresented, establishing a trustworthy audit trail.
Context
The demand for verifiable data authenticity is increasing across industries, particularly in supply chains, digital identity, and intellectual property management. Blockchain technology is a key component in news reports regarding solutions for securing and validating critical information against fraud and manipulation. The challenge remains integrating off-chain data securely.
Verkle Trees introduce vector commitments into Merkle-like structures, drastically reducing proof sizes for efficient blockchain state verification and enabling scalable stateless clients.
This work introduces Hierarchical Vector Commitments, a cryptographic primitive enabling constant-sized proofs for dynamic data authenticity across complex decentralized architectures.
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