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zk-rollups-the-endgame-for-scaling
Blog

Why Long-Term Data Guarantees are a ZKR Illusion

An analysis of the unspoken long-tail risk in ZK-rollup security: the impossibility of credible, multi-decade data availability promises from off-chain providers like Celestia or EigenDA.

introduction
THE DATA LAYER

The Unspoken Contradiction of Modular Security

Zero-knowledge proofs create a false sense of security by outsourcing long-term data availability to untrusted, economically volatile actors.

ZKP security is ephemeral. A validity proof only guarantees state transition correctness at the moment it's verified. The underlying data required to rebuild that state is secured by a separate, often weaker, data availability (DA) layer like Celestia or EigenDA.

Long-term guarantees are an illusion. The data availability problem shifts from cryptographic security to economic security. A DA layer's safety depends on sustained, honest participation from its token holders and validators, which degrades over multi-year time horizons.

This creates a recursive security flaw. A ZK-rollup's state is only as secure as its oldest unpruned data. If the chosen DA layer fails or censors data after 6 months, the rollup's ability to cryptographically verify its entire history collapses.

Evidence: The entire validity of an Optimism fault proof or an Arbitrum Nitro state root depends on the continued liveness and honesty of its chosen Data Availability Committee (DAC) or external DA provider, introducing a non-cryptographic trust assumption.

key-insights
THE ZKR ILLUSION

Executive Summary: The DA Time Bomb

Zero-Knowledge proofs solve computational integrity, but they create a critical dependency on long-term data availability that current architectures cannot guarantee.

01

The 7-Day Cliff Edge

Ethereum's blob storage only guarantees data for ~18 days. After this, ZK validity proofs are worthless without the underlying data. This creates a systemic risk for rollups like zkSync, Starknet, and Polygon zkEVM that rely on this model.

  • Risk Window: Data becomes vulnerable after the 7-day Ethereum finality period.
  • Systemic Failure: A single coordinated data withholding attack could invalidate $10B+ in bridged assets.
7 Days
Risk Window
$10B+
At Risk
02

The Celestia Fallacy

Modular DA layers like Celestia and EigenDA externalize the security budget, creating a weaker trust assumption than the settlement layer. Their economic security is decoupled from Ethereum's consensus.

  • Security Mismatch: A $1B L2 secured by a $500M DA chain.
  • Data Guarantee: Relies on perpetual liveness of a separate, less battle-tested network.
~50%
Security Discount
New Trust
Assumption
03

The Arweave Solution

Permanent storage is the only first-principles fix. Arweave's endowment model and Succinct Proofs of Access (SPoA) guarantee data for a minimum of 200 years, paid upfront. This aligns incentives for long-term verifiability.

  • Guarantee: 200-year minimum data persistence.
  • Cost: One-time fee of ~$0.02/MB for perpetual storage.
200 Years
Min Guarantee
~$0.02/MB
One-Time Cost
04

The Hybrid DA Architecture

Forward-looking protocols like Near DA and Avail are implementing hybrid models, but they still face the fundamental trade-off: you cannot have stronger guarantees than your weakest data layer. The solution is redundancy across security tiers.

  • Strategy: Hot data on high-throughput DA, cold backups on Arweave.
  • Example: Ethereum blobs (7-day) + Arweave (permanent) for final fallback.
2-Layer
Redundancy
Final Fallback
Architecture
thesis-statement
THE DATA GAP

Thesis: ZK Finality is Contingent on Perpetual DA

Zero-knowledge proofs create computational finality but depend on the permanent availability of historical data, a guarantee they cannot provide.

ZK proofs are not self-contained. A validity proof only attests to the correctness of a state transition. The finality of that new state is conditional on the ability to reconstruct the entire chain's history, which requires the underlying data.

Data availability is a separate problem. ZK-rollups like zkSync and StarkNet outsource this to Ethereum's calldata or dedicated DA layers like Celestia. The proof's security inherits the liveness assumptions of its chosen DA layer.

Perpetual storage is a market failure. No economic model currently guarantees data persistence for decades. Solutions like Arweave or Filecoin are probabilistic and rely on continuous economic incentives, not cryptographic finality.

Evidence: Ethereum's EIP-4844 (blobs) provides temporary data storage. After ~18 days, rollups must implement their own long-term solution, creating a hard dependency on external, non-cryptoeconomic systems.

ZK-ROLLUP DATA AVAILABILITY

DA Guarantee Spectrum: Promises vs. Realities

Comparing the actual long-term data guarantee mechanisms of leading ZK-rollups against the common marketing narrative of 'permanent storage'.

Data Guarantee FeatureStarknetzkSync EraPolygon zkEVMScroll

Data Availability (DA) Layer

Ethereum Calldata

Ethereum Calldata

Ethereum Calldata

Ethereum Calldata

On-Chain Data Retention (EIP-4844)

~18 days

~18 days

~18 days

~18 days

Post-Blob Pruning Data Access

Requires DAC/Node

Requires DAC/Node

Requires DAC/Node

Requires DAC/Node

Formal Long-Term DA Contract

Volition (Planned)

zkSync 3.0 (Planned)

Active Data Availability Committee (DAC)

DAC Security Assumption

9-of-16 Signatures

Trusted Setup (10-of-15)

12-of-18 Signatures

N/A

Historical Data Regen Time (Est.)

Hours (via DAC)

Hours (via DAC)

Hours (via DAC)

Days (via Archive Nodes)

User-Enforced Data Backup

Via L2 Explorer

Via L2 Explorer

Via L2 Explorer

Via L2 Explorer

deep-dive
THE INCENTIVE MISMATCH

Deconstructing the Illusion: Incentives Over Decades

Zero-knowledge proofs create a technical guarantee for data, but they cannot create the economic incentives required to maintain that data for decades.

The core guarantee is economic. A ZK validity proof ensures a state transition was correct at a specific point in time. It does not guarantee the underlying data's availability for future verification. This creates a critical dependency on external data availability layers like Celestia or EigenDA.

Data availability is a recurring cost. Storing 1KB of calldata on Ethereum for 20 years requires paying gas fees today. Protocols like Polygon zkEVM or zkSync must budget for this perpetual expense, creating a long-term liability that scales with usage.

Incentives decay over time. A sequencer's profit from a 2024 transaction is zero in 2044, yet the cost to store its data persists. This misalignment forces reliance on altruism or governance, a failure model seen in older systems like Bitcoin's full nodes.

Evidence: The Ethereum archive node problem demonstrates this. Running a full archive node provides public good data but offers no direct rewards, leading to centralization among a few providers like Infura and Alchemy. ZK rollups inherit this exact problem for their historical data.

risk-analysis
THE DATA AVAILABILITY CLIFF

Concrete Long-Tail Risks for Rollups

Zero-Knowledge proofs secure computation, but long-term data persistence is a separate, often overlooked, systemic risk.

01

The 7-Day Data Purge

Most ZK-rollups rely on Ethereum's calldata for short-term data availability, which is pruned after ~7 days. The ZK validity proof only guarantees state transition integrity, not that the underlying data for future proofs remains accessible.\n- Long-tail risk: Users cannot generate new proofs or exit if historical data is lost.\n- Systemic dependency: Relies on altruistic actors or centralized sequencers to archive data indefinitely.

~7 Days
Calldata Window
Infinite
Proof Lifespan
02

The Decentralized Sequencer Dilemma

Decentralizing the sequencer set is a security goal, but it fragments data responsibility. Without a canonical archive, proving fraud or a malicious state transition years later becomes impossible if a critical mass of historical sequencers goes offline.\n- Data Locality Problem: No single entity is incentivized to store the full chain history.\n- Verification Blackout: Future verifiers cannot sync the chain from genesis, breaking the security model.

>30 Days
Archive Gap
Fragmented
Data Custody
03

EIP-4844 Blob Economics

EIP-4844 introduces cheaper data blobs with a ~18-day lifespan, pushing the cost problem down the road. Rollups must still implement a separate, incentivized data availability layer for permanent storage, creating a two-tiered cost structure.\n- Hidden Sunk Cost: Initial posting cost is low, but perpetual archival is an uncapped operational expense.\n- Market Failure Risk: If blob archival markets (e.g., EigenDA, Celestia) fail, rollups face a data ransom scenario.

~18 Days
Blob Lifetime
Uncapped
Archive Cost
counter-argument
THE REPLICATION FALLACY

Steelman: "But The Data Can Be Replicated!"

The promise of data replication for ZK rollups is a temporary fix that fails to address the fundamental requirement of permanent, permissionless data availability.

Data replication is not persistence. Copying data across multiple L1s like Ethereum and Celestia creates a temporary illusion of safety. The long-term guarantee depends on the weakest link in the chain of replicators, which introduces a new, unquantifiable risk vector for state finality.

Replication adds protocol complexity. Systems like EigenDA and Avail require a separate consensus and slashing layer for data availability. This recreates the very security overhead ZK rollups aim to avoid, making them hybrid systems with multiple points of failure instead of pure L2s.

The economic model breaks. A ZK validity proof only assures state transition correctness if the input data is available. If replicators collude or fail, the proof is worthless. This creates a security subsidy where rollups rely on external, potentially unaligned networks for their core function.

Evidence: The failure of a major data availability provider like Celestia would invalidate the security proofs for every rollup using it for replication, regardless of how many copies exist elsewhere. The system's security is capped at its least secure component.

future-outlook
THE DATA GUARANTEE FALLACY

The Inevitable Reckoning and Paths Forward

The promise of permanent data availability from ZK rollups is a systemic illusion that will collapse under economic pressure.

Data availability is a cost center. ZK rollups like zkSync Era and Starknet rely on expensive Layer 1 storage for data availability, a cost that scales linearly with usage and has no long-term subsidy.

Economic incentives guarantee deletion. The profit-maximizing sequencer will eventually prune historical data, as seen in the evolution from full nodes to light clients, to reduce operational overhead and maximize profit.

The 'ZK' in ZK Rollup is irrelevant. The validity proof only secures state transitions, not data persistence. A pruned ZK rollup becomes a trusted system, reverting to the security model of a sidechain like Polygon PoS.

Evidence: The EIP-4844 blob fee market already creates variable, auction-based pricing for temporary data, proving that permanent storage on-chain is economically non-viable at scale.

takeaways
THE DATA GUARANTEE GAP

TL;DR for Protocol Architects

Zero-knowledge proofs verify computation, not data persistence. This creates a critical, often ignored, systemic risk for stateful applications.

01

The Prover's Dilemma

A ZK proof guarantees a state transition was computed correctly at a point in time. It says nothing about the long-term availability of the underlying data needed to reconstruct that state.\n- Liveness Risk: If historical data is lost, the chain becomes a verifiable black box.\n- Sovereignty Erosion: Applications become dependent on centralized data providers like Google Cloud or AWS S3 for historical access.

~30 days
Typical RPC Retention
0 Guarantee
ZK Provides
02

Data Availability is Not Enough

Even with a robust DA layer like Celestia or EigenDA, you only solve for new data. The long-tail archive problem remains.\n- Cost Proliferation: Storing petabytes of historical data on-chain is economically impossible.\n- Re-gen Gap: Light clients and bridges cannot sync from genesis if the full historical data isn't perpetually accessible, breaking trust assumptions.

$1M+/year
Archive Node Cost
100%
Sync Failure Risk
03

The Bridge & Oracle Time Bomb

Cross-chain messaging protocols (LayerZero, Axelar, Wormhole) and oracles (Chainlink) that rely on ZK light client bridges inherit this flaw. Their security decays over time as historical data becomes unreliable.\n- Verification Collapse: A bridge can't verify a 2-year-old transaction if the required block header is gone.\n- Systemic Contagion: A single chain's data loss can invalidate the security proofs for billions in bridged assets across the ecosystem.

$10B+ TVL
At Risk
T-1 Year
Security Half-Life
04

Solution: Sovereign Data Networks

The fix requires treating historical data as a first-class primitive, not an afterthought. This means incentivized, decentralized networks for long-term storage and retrieval.\n- Incentive Alignment: Protocols like Filecoin and Arweave provide crypto-economic guarantees for persistence.\n- Mandatory Integration: Future ZK rollup designs must mandate data posting to such networks in their protocol rules, creating a verifiable data lineage.

200+ Years
Arweave Guarantee
Protocol-Level
Required Fix
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Why Long-Term Data Guarantees are a ZKR Illusion | ChainScore Blog