> For the complete documentation index, see [llms.txt](https://docs.axiomprotocol.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.axiomprotocol.io/whitepaper/security-model/snapshot-fairness.md). # Snapshot Fairness Axiom uses a snapshot system to ensure fairness and prevent manipulation. * Every 24 hours, the Eligibility Registry takes a snapshot of all staker positions * These snapshots determine who is in the top 50 percent * Proposal and voting eligibility are locked to the **resolution epoch**, not the current moment * Users cannot stake large amounts right before a vote * Users cannot withdraw to avoid penalties * All actions are tied to stake values at a fixed time Snapshots use an optimistic offchain Merkle model with fraud proofs. This reduces gas costs while maintaining decentralization --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.axiomprotocol.io/whitepaper/security-model/snapshot-fairness.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.