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The available records do not establish whether a current Spark Liquidity Layer upgrade is compatible. They document the system’s purpose, historical ALM Controller upgrade proposals and an older security assessment, but not a complete current deployment inventory or a storage-layout comparison. That is enough to explain how to assess an upgrade; it is not a current pass-or-fail verdict.

What the Spark Liquidity Layer does

Spark describes the Spark Liquidity Layer as a product for providing liquidity directly to DeFi markets. Its portal places that product within a broader liquidity and yield infrastructure offering.

The relevant upgrade component in the available records is the Spark ALM Controller. A 2024 ChainSecurity assessment describes a set of on-chain components intended to manage liquidity between Ethereum mainnet and layer 2 networks using DSS Allocator. It discusses mainnet and foreign controllers, role-restricted operations and rate limits. Those details describe the design and scope assessed at that time; they should not be treated as a complete inventory of what is deployed today.

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What the governance history establishes

Spark’s governance documentation describes changes to the Spark Agent artifact in Sky Atlas, including risk settings, asset onboarding, protocol integrations and new chain deployments. It says significant changes that affect protocol risk require governance approval and outlines review, voting and implementation stages. The page estimates the process at approximately two to three weeks; that is a documented estimate, not a guaranteed completion time.

Sky governance records show historical polls proposing ALM Controller upgrades. A poll records a proposal and its governance path; it does not, by itself, prove that the proposed version was approved, activated or remains deployed.

Poll record Proposed version Chains named What the record establishes
April 2025 1.4.0 Mainnet, Base and Arbitrum A historical proposal concerning these chains
September 2025 1.7 Mainnet and Base Historical proposals concerning these chains

The records describe a route from a successful poll to an executive vote and, if that vote passes, activation after the GSM Pause Delay. To establish a deployment’s status, check the executive vote and activation record as well as the poll. The poll history alone cannot answer whether a particular implementation is live now.

What a compatibility review needs to verify

Compatibility is not one property. A reviewer needs to establish which contracts and chains are in scope, then check what the new implementation changes and how the upgrade is authorized and executed. The following are review axes, not findings that a current Spark implementation passes or fails.

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1. Match each chain to its deployment

Build a chain-by-chain inventory that identifies each target network, proxy, implementation and deployed version. Keep networks separate: the historical proposals cover different chain sets, so a conclusion about one network cannot automatically be extended to another. Tie the inventory to verified deployed code rather than relying on a version label alone.

2. Compare storage and upgrade behavior

Compare the current and proposed implementations’ storage layouts, and review initialization behavior and upgrade mechanics against the verified deployed code. A layout change or initialization difference can affect whether existing state is interpreted or updated as intended. The records described here do not provide a complete current layout diff, so they cannot establish compatibility on this axis.

3. Trace authorization changes

Map each role and permission in the old and proposed versions to the operations it can invoke. Check whether any role, authorization condition or administrative control changes, and whether the intended governance and operational actors retain the appropriate access. ChainSecurity’s 2024 assessment discusses role-restricted controller functions and administrative controls in the versions it assessed; it does not establish the current role map.

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4. Check rate limits and operational bounds

Identify the rate-limit keys and values used by the relevant operations, how limits can be increased or decreased, and whether the proposed changes keep operations within intended bounds. ChainSecurity discusses rate limits and their update mechanisms for the assessed version. That historical description is context for a review, not evidence that a later implementation has the same limits or behavior.

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5. Separate controller behavior from external dependencies

Record which assumptions concern the controller and which depend on tokens, bridges or other external systems. ChainSecurity states that some USDC/CCTP assumptions and USDC centralization risks were outside its assessment scope. A controller review therefore should not be read as a complete review of those dependencies or their risks.

6. Confirm the governance execution state

Follow the proposal through the relevant governance steps: the poll, any executive vote and the activation record after the GSM Pause Delay. Verify the chain and implementation associated with each step. Spark’s stated two-to-three-week estimate applies to its described governance process and is not proof that a particular upgrade completed within that period.

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What can and cannot be concluded

The available materials support a description of Spark’s liquidity product, historical ALM Controller design and documented governance process. They also provide examples of chain-specific upgrade proposals. They do not establish the complete current set of deployed implementations, verify their bytecode and source chain by chain, or compare the current storage layout with a proposed replacement.

Accordingly, there is no basis here for a present-day compatibility pass or fail, or for an assurance that user funds are safe. A defensible conclusion would require a current chain-by-chain deployment inventory tied to verified code, a storage-layout and initialization comparison, and confirmation of the proposal’s execution status. The 2024 ChainSecurity assessment is historical and scoped to particular contract versions; it cannot substitute for those current checks.

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