Proof size reduction refers to cryptographic techniques that decrease the amount of data required to verify a transaction or computation on a blockchain. This optimization enhances network efficiency and scalability by minimizing the data load for validators. It is a key area of research in advanced cryptography.
Context
Proof size reduction is a significant technical topic in crypto news, particularly concerning advancements in zero-knowledge proofs and other privacy-enhancing technologies. These innovations aim to improve blockchain performance and enable more complex applications by making verification processes less resource-intensive. Developments in this area contribute to broader network utility.
A new polynomial commitment scheme, BaseFold, generalizes FRI using foldable codes, eliminating field restrictions and achieving 200x faster ZK prover times.
A new lattice-based polynomial commitment scheme drastically shrinks proof size, providing the essential, quantum-safe primitive for future scalable blockchain privacy.
This research delivers the first efficient lattice-based polynomial commitment scheme, securing succinct arguments against quantum adversaries without a trusted setup.
A new lattice-based zkSNARK construction reduces post-quantum proof size by 10.3×, collapsing the massive overhead that hindered quantum-secure verifiable computation.
Verkle Trees replace Merkle proofs with polynomial commitments, reducing state witness size by 30x, unlocking truly scalable and decentralized stateless clients.
The Libra proof system achieves optimal linear prover time, solving the primary bottleneck of ZKPs to unlock practical, large-scale verifiable computation.
Blaze introduces a multi-linear polynomial commitment scheme using Repeat-Accumulate-Accumulate codes, dramatically speeding up ZK-SNARK provers and reducing proof size for scalable verifiable computation.
A new lattice-based zk-SNARK construction fundamentally shrinks proof size by over 10x, making quantum-resistant verifiable computation practical for all blockchain architectures.
Equifficient Polynomial Commitments are a new primitive that enforces polynomial basis representation, enabling SNARKs with 160-byte proofs and triple-speed proving.
A novel ZKP aggregation scheme embedded in Merkle Trees achieves significant proof size reduction, fundamentally improving blockchain data verification efficiency.
Partition Vector Commitments introduce a novel data structure to drastically reduce proof size and communication overhead, securing data availability for scalable decentralized architectures.
Introducing a novel vector commitment scheme that reduces data availability proof size from linear to logarithmic, fundamentally unlocking scalable decentralized rollups.
Greyhound is the first concretely efficient polynomial commitment scheme from standard lattice assumptions, securing ZK-proof systems against future quantum threats.
This new polynomial commitment scheme over Galois rings achieves polylogarithmic verification, fundamentally accelerating zero-knowledge proof systems and verifiable computation.
Greyhound is the first concretely efficient lattice-based polynomial commitment scheme, enabling post-quantum secure zero-knowledge proofs with sublinear verifier time.
BaseFold generalizes FRI, introducing foldable codes to create a field-agnostic polynomial commitment scheme with superior prover and verifier efficiency.
Equifficient polynomial commitments introduce a new cryptographic primitive to drastically reduce SNARK prover time and proof size, enhancing verifiable computation scalability.
Verkle Trees introduce vector commitments into Merkle-like structures, drastically reducing proof sizes for efficient blockchain state verification and enabling scalable stateless clients.
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