Erasure Code Commitments Enforce Data Availability Consistency
This new cryptographic primitive enforces that committed data is a valid code word, fundamentally securing data availability sampling protocols against malicious data encoding.
Vanishing Polynomial Commitments Enable Post-Quantum Succinct Arguments and Recursive Folding
A novel commitment scheme utilizing vanishing polynomials unlocks the first lattice-based linear-time prover and polylogarithmic verifier succinct arguments.
Cauchyproofs Enables Quasi-Linear State Updates for Scalable Stateless Blockchains
Cauchyproofs, a new batch-updatable vector commitment, achieves quasi-linear state proof updates, fundamentally solving the computational bottleneck for stateless blockchain adoption.
Linear Prover Time Unlocks Scalable Zero-Knowledge Proof Generation
Orion achieves optimal linear prover time and polylogarithmic proof size, resolving the ZKP scalability bottleneck for complex on-chain computation.
FRIDA Formalizes Data Availability Sampling with Transparent Cryptographic Proofs
FRIDA introduces the first formal cryptographic primitive for Data Availability Sampling, enabling trustless, scalable block data verification for modular blockchains.
HyperNova Recursion System Enables Practical Zero-Knowledge Virtual Machines
HyperNova, a novel recursive proof system, drastically reduces overhead for high-degree constraint computations, making efficient zkVMs a reality.
Lattice-Based Inner Product Argument Unlocks Post-Quantum Transparent SNARKs
The Lattice-IPA primitive achieves a succinct, transparent, and quantum-resistant proof system, fundamentally securing verifiable computation against future quantum adversaries.
Equifficient Polynomial Commitments Unlock Optimal SNARK Size and Speed
A new equifficient polynomial commitment primitive resolves the SNARK size-time trade-off, enabling the smallest proofs and fastest verifiable computation.
Interactive Oracle Proofs Enable Trustless, Scalable, Post-Quantum Verifiable Computation
Interactive Oracle Proofs generalize PCPs, constructing transparent, quasi-linear proof systems that eliminate trusted setup for mass-scale verifiable computation.
