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Glossary

Validity Proof

A cryptographic proof that attests to the computational correctness of a state transition, used to enable trust-minimized scaling solutions like zkRollups.
Chainscore © 2026
definition
BLOCKCHAIN SCALING

What is a Validity Proof?

A validity proof is a cryptographic proof that verifies the correctness of a batch of transactions executed off-chain, enabling secure and trust-minimized scaling for blockchains.

A validity proof is a succinct cryptographic attestation, generated by a prover, that mathematically guarantees the correct execution of a set of transactions or state transitions. This proof is then submitted to and verified by an on-chain verifier contract on a Layer 1 blockchain like Ethereum. The core innovation is that the verifier only needs to check the small proof, not re-execute all the transactions, which drastically reduces the computational load and data required on the main chain. This mechanism is the foundation for ZK-Rollups, a leading Layer 2 scaling solution.

The creation of a validity proof typically involves complex cryptographic systems like zk-SNARKs (Zero-Knowledge Succinct Non-Interactive Argument of Knowledge) or zk-STARKs (Zero-Knowledge Scalable Transparent Argument of Knowledge). These systems allow the prover to demonstrate knowledge of a correct execution trace without revealing any information about the underlying data, providing both scalability and strong privacy guarantees. The proof's validity is binary: it either passes the verifier's check, confirming all state transitions are correct, or it fails, preventing any invalid state from being accepted.

From a security perspective, validity proofs offer what is known as cryptographic security or validity security. This is considered stronger than the fraud proof model used in Optimistic Rollups, as it assumes the cryptographic primitives are secure, rather than relying on a challenge period and honest watchers. Invalid state cannot be finalized because it is computationally infeasible to generate a valid proof for incorrect computations. This allows for near-instant withdrawal of assets from the Layer 2 to the Layer 1.

The practical impact of validity proofs is profound for blockchain scalability. By moving computation off-chain and only posting tiny proofs on-chain, ZK-Rollups can achieve extremely high transaction throughput while inheriting the security of the underlying L1. Major implementations include zkSync, Starknet, and Polygon zkEVM. Beyond scaling, the zero-knowledge aspect enables novel use cases for private transactions and identity verification without exposing sensitive data on a public ledger.

key-features
VALIDITY PROOF

Key Features

Validity proofs are cryptographic certificates that guarantee the correctness of state transitions in a blockchain. They enable secure scaling by allowing off-chain computation to be verified on-chain with minimal cost.

01

Cryptographic Guarantee

A validity proof is a succinct cryptographic proof (e.g., a ZK-SNARK or ZK-STARK) that attests to the correct execution of a batch of transactions. The on-chain verifier only needs to check this proof, not re-execute the transactions, ensuring computational integrity with cryptographic certainty.

02

Trustless Scaling

By moving computation off-chain (to a prover) and only posting a proof on-chain, validity proofs enable high-throughput Layer 2 rollups (zk-Rollups). This decouples execution from consensus, allowing for thousands of transactions per second without compromising the security of the underlying Layer 1 blockchain.

03

Data Availability vs. Validity

A critical distinction in scaling solutions. Validity proofs ensure state transitions are correct. Data availability ensures the transaction data is published so anyone can reconstruct the state. Optimistic rollups assume validity and rely on fraud proofs, while zk-Rollups use validity proofs and still require data availability for censorship resistance.

04

Prover & Verifier Roles

The system involves two key actors:

  • Prover: A powerful off-chain node that executes transactions and generates the cryptographic proof of correctness. This is computationally intensive.
  • Verifier: A lightweight on-chain smart contract that checks the proof. Its operation is extremely fast and cheap, enabling efficient finality.
05

Instant Finality

Unlike optimistic rollups which have long challenge periods (e.g., 7 days), transactions secured by validity proofs achieve instant finality upon proof verification. Funds can be withdrawn immediately from the rollup to Layer 1, as the state is already proven correct.

06

Privacy Enhancement

While not inherent, certain validity proof systems (particularly ZK-SNARKs) can natively provide transaction privacy. The proof can verify that a state transition follows the rules without revealing the inputs, amounts, or participants, enabling confidential decentralized applications.

how-it-works
ZK-ROLLUP MECHANICS

How a Validity Proof Works

A technical breakdown of the cryptographic mechanism that allows Layer 2 blockchains to inherit the security of Ethereum without publishing all transaction data.

A validity proof is a cryptographic attestation, generated off-chain, that mathematically proves the correctness of a batch of transactions executed on a Layer 2 (L2) network like a ZK-Rollup. This proof, typically a Zero-Knowledge Succinct Non-Interactive Argument of Knowledge (zk-SNARK) or zk-STARK, is submitted to the underlying Layer 1 (L1) blockchain, such as Ethereum. The L1 smart contract, known as a verifier contract, can check this proof with minimal computational effort. If the proof is valid, the L1 accepts the new state root—a cryptographic commitment to the L2's entire state—as canonical, without needing to re-execute the transactions. This process ensures that only valid state transitions are finalized on the secure base layer.

The core innovation lies in the succinctness and verification speed of the proof. Generating the proof is computationally intensive and is performed by a specialized node called a prover. However, verifying the proof on-chain is extremely fast and cheap, requiring only a fixed, small amount of gas regardless of the batch size. This creates massive scalability gains. The system's security is rooted in cryptographic assumptions: if the proof verifies, the state transition is correct with near-certain probability. This is a fundamental shift from optimistic rollups, which rely on a fraud-proof mechanism and a lengthy challenge period, assuming transactions are valid unless proven otherwise.

The workflow follows a specific sequence. First, users submit transactions to the L2 sequencer, which orders them into a batch. The sequencer executes these transactions, computing a new Merkle root for the L2 state. A prover then takes the batch data and the old and new state roots to generate a validity proof. This proof and the new state root are posted to the L1 verifier contract. The contract runs its verification algorithm; a successful check authorizes the state root update. Crucially, only minimal calldata (often just essential data for bridging) is posted to L1, while the proof itself guarantees the integrity of all other transactions, enabling significant data compression.

Validity proofs enable powerful properties beyond scalability. Privacy can be enhanced, as the proof can verify transactions without revealing their details. They also provide near-instant finality for L2 withdrawals to L1, as the proof's verification is immediate and conclusive, unlike the multi-day delay required for fraud-proof challenges. Major implementations include zkSync Era, Starknet, Polygon zkEVM, and Scroll. The trade-offs involve higher computational requirements for proof generation (prover complexity) and the current challenge of making general-purpose zkEVM circuits efficient, though rapid advancements are being made in prover hardware and proof system design.

examples
VALIDITY PROOF

Examples & Implementations

Validity proofs are implemented through various cryptographic systems, each with distinct trade-offs in proving time, proof size, and trust assumptions. Here are the primary methods and leading projects.

01

zk-SNARKs (Zero-Knowledge Succinct Non-Interactive Argument of Knowledge)

A foundational validity proof system enabling a prover to convince a verifier of a statement's truth without revealing any information beyond the statement itself. Key characteristics include:

  • Succinctness: Proofs are small and fast to verify.
  • Non-interactive: Requires only a single message from prover to verifier.
  • Trusted Setup: Most implementations require a one-time, ceremony-based generation of public parameters, which, if compromised, could allow false proofs. Used by Zcash for private transactions and zkSync Era for Layer 2 scaling.
02

zk-STARKs (Zero-Knowledge Scalable Transparent Argument of Knowledge)

A validity proof system that improves upon zk-SNARKs by removing the need for a trusted setup, making it cryptographically transparent. Its trade-offs include:

  • Transparency: Relies only on public randomness, no toxic waste.
  • Scalability: Proving time scales quasi-linearly with computation size.
  • Larger Proof Sizes: Proofs are larger than SNARKs (e.g., ~45-200 KB vs. ~200 bytes), impacting on-chain verification cost. Pioneered by StarkWare and used in Starknet and applications like Immutable X for NFT scaling.
03

Plonk & Universal Circuits

An efficient zk-SNARK construction that uses a universal and updatable trusted setup. This is a major innovation because:

  • Universal Setup: A single ceremony can be used for all programs of a bounded size, simplifying deployment.
  • Updatable: New participants can contribute to the ceremony over time, enhancing security.
  • Efficiency: Offers performant proving times and small proof sizes. The Plonk protocol is the basis for systems like Aztec Network and is widely adopted across the zk-rollup ecosystem.
04

zkEVMs (Zero-Knowledge Ethereum Virtual Machines)

A specialized implementation of validity proofs that aim for EVM-equivalence, allowing Ethereum smart contracts to run in a zk-rollup with minimal changes. Approaches vary:

  • Type 1 (Fully Equivalent): Matches Ethereum exactly; high proving cost (e.g., Taiko).
  • Type 2 (EVM-Equivalent): Matches Ethereum state; uses custom circuits for some precompiles (e.g., zkSync Era).
  • Type 3 (Almost EVM-Equivalent): Minor deviations for faster prover performance.
  • Type 4 (High-Level Language): Compiles Solidity to a custom zk-friendly VM (e.g., zkRollup).
05

Optimistic Rollups vs. ZK-Rollups

A key architectural comparison showing validity proofs in action versus a fraud proof model.

  • ZK-Rollups (Validity Proofs):
    • Security: Cryptographic guarantees for every state transition.
    • Finality: Fast withdrawal times (minutes).
    • Cost: Higher computational cost for proof generation.
  • Optimistic Rollups (Fraud Proofs):
    • Security: Assumes correctness, with a challenge period (e.g., 7 days) to dispute fraud.
    • Finality: Slow withdrawals due to challenge window.
    • Cost: Lower transaction cost, but higher capital lockup for watchers.
06

Recursive Proofs & Proof Aggregation

An advanced technique where validity proofs verify other validity proofs, enabling massive scalability.

  • Recursion: A single proof can attest to the correctness of a batch of transactions and the correctness of the proofs for prior batches. This creates a proof of proofs.
  • Aggregation: Multiple proofs are combined into one, drastically reducing the on-chain verification load.
  • Application: This is critical for zk-rollup ecosystems (like Starknet's L3s or Polygon zkEVM's Boojum) and bridges to efficiently prove the state of entire chains.
SCALING MECHANISM COMPARISON

Validity Proof vs. Fraud Proof

A technical comparison of the two primary cryptographic proof systems used in blockchain scaling solutions, such as optimistic and zk-rollups.

FeatureValidity Proof (e.g., ZK-Rollup)Fraud Proof (e.g., Optimistic Rollup)

Core Mechanism

Proves state transition correctness cryptographically

Assumes correctness, challenges invalid transitions

Proof Generation

Computationally intensive (ZK-SNARK/STARK)

Only required if a challenge is issued

Withdrawal Delay to L1

Near-instant (minutes)

Challenge period (typically 7 days)

Data Availability Requirement

Required (on-chain or off-chain with DACs)

Required (on-chain)

Trust Assumption

Cryptographic (trustless)

Economic (assumes honest verifier exists)

On-Chain Verification Cost

High per proof, low frequency

Low per batch, high only if challenged

Inherent Privacy

Yes (ZK can hide transaction details)

No (all data is public)

EVM Compatibility Complexity

High (ZK-EVM development challenging)

High (fraud proof construction for EVM is complex)

security-considerations
VALIDITY PROOF

Security Considerations

Validity proofs are cryptographic systems that mathematically guarantee the correctness of state transitions, but their security depends on the specific implementation and underlying assumptions.

02

Cryptographic Assumptions

The security of validity proofs relies on the hardness of specific mathematical problems, such as the discrete logarithm problem or elliptic curve pairings. A future breakthrough in cryptanalysis (e.g., quantum computing) could break these assumptions, invalidating the proof's security guarantees.

03

Implementation Bugs

Even with a perfect cryptographic scheme, bugs in the prover, verifier, or circuit code can create vulnerabilities. This includes:

  • Arithmetic overflows in constraint systems.
  • Incorrect circuit logic representing the program.
  • Bugs in the elliptic curve library. These can lead to the acceptance of invalid proofs.
05

Upgradeability & Centralization

Many proof systems have upgradeable contracts or rely on a centralized sequencer to post proofs. This creates admin key risk and potential for censorship. The security model shifts from pure cryptography to a social consensus or multi-sig governance model for upgrades.

06

Prover Honesty vs. Incentives

The system assumes at least one honest actor will generate the validity proof. In practice, this role is often performed by a professional prover with financial incentives. MEV extraction and liveness failures can occur if proving becomes unprofitable or is controlled by a cartel.

Technical Details

Validity proofs are cryptographic systems that allow one party to prove to another that a computation was executed correctly without requiring the verifier to re-execute it. This foundational technology enables scalability and interoperability for blockchains.

A validity proof is a cryptographic attestation that a state transition or computation is correct, generated by proving that the execution of a program adheres to its predefined rules. It allows a verifier to be convinced of the result's correctness with minimal computational effort, relying on mathematical soundness rather than trust or re-execution. This is the core mechanism behind zk-Rollups and other zero-knowledge proof systems, enabling them to post compressed transaction data and a proof of its validity to a base layer like Ethereum, thereby inheriting its security.

VALIDITY PROOFS

Common Misconceptions

Validity proofs, particularly Zero-Knowledge (ZK) proofs, are a cornerstone of modern blockchain scaling and privacy. However, their technical complexity leads to widespread misunderstandings about their capabilities, limitations, and real-world application.

No, a zero-knowledge proof (ZKP) is a specific type of validity proof, but not all validity proofs are zero-knowledge. A validity proof is a cryptographic proof that a computation (like a batch of transactions) was executed correctly. A ZKP adds the property of zero-knowledge, meaning it proves correctness without revealing any of the underlying input data. For example, a ZK-Rollup uses a ZKP to prove state transitions are valid while keeping transaction details private. Other systems may use validity proofs that are not zero-knowledge, where the proof itself might reveal some information about the computation.

VALIDITY PROOFS

Frequently Asked Questions

Validity proofs are a core cryptographic primitive enabling trust-minimized scaling. These FAQs address their technical mechanisms, differences from other systems, and practical applications.

A validity proof is a cryptographic attestation, typically a zero-knowledge proof (ZKP) or validity rollup proof, that mathematically guarantees the correctness of a batch of transactions executed off-chain. It works by having a prover (a sequencer or operator) execute transactions, compute a new state root, and generate a succinct proof. This proof is then submitted on-chain to a verifier contract, which checks its validity in a fraction of the time and cost it would take to re-execute the transactions, allowing the L1 to accept the new state with cryptographic certainty.

Key steps:

  1. Execution: Transactions are processed off-chain in a rollup or validium.
  2. Proof Generation: A ZK-SNARK or ZK-STARK proof is created, attesting the state transition is correct.
  3. Verification: The compact proof is posted to L1 and verified by a smart contract.
  4. Finality: Upon successful verification, the new state root is accepted on the base layer.
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