Separate execution, data availability and settlement assumptions.
LET’S PICTURE IT
A class can work on a shared worksheet while another system checks the final claims under agreed rules.
SEE IT FOR YOURSELF
Receive, check and share across independent nodesStep 1 / 4
A node receives a proposed transaction or block-related message. Receipt is not the same as accepting its claims.
A node receives a proposed transaction or block-related message. Receipt is not the same as accepting its claims.The node checks the relevant authorization and protocol rules. Popularity does not make an invalid state transition valid.Valid candidate data can propagate to peers. Connections and timing differ, so there is no perfect simultaneous worldwide view.Peers validate under the same protocol rules. This illustration is about verification and propagation, not a complete proof-of-stake consensus algorithm.
Animated local teaching model. No wallet, RPC or live blockchain data. Some labels and hashes are abbreviated for readability.
Start with the scaling problem
Explain that doing every operation directly on a shared base layer has resource costs. Avoid introducing a rollup as simply another name for a cheap unrelated chain.
Draw the separate responsibilities
Show where transactions execute, where necessary data is made available and how state claims are checked or challenged under the chosen design.
Name design differences
Optimistic and validity-proof systems use different verification approaches. Sequencing, upgrades and withdrawal processes also differ among deployments.
Check the learner’s conclusion
Ask what the base layer guarantees and which additional assumptions remain. Do not promise instant withdrawals, permanent low fees or identical security for every layer two.
Your acceptance target
transaction execution
→ data availability
→ state claim verification / challenge
→ settlement under the chosen protocol
Label sequencing and upgrade assumptions.
Use only local examples and public sample addresses. State the assumptions and limits alongside the result.
QUICK CHECK · NO PRESSURE
Do all rollups have identical withdrawal and upgrade assumptions?
Those properties depend on the specific design and deployment.