# kaal:claim:4855607-022

**Claim.** The acyclic property of WDAGs is load bearing for governance rather than incidental: because loops and cycles are impossible, the progression of governance rules stays unambiguous and the framework cannot accumulate redundancies and contradictions.

**Type.** mechanism  **Support.** argued

**Holds when.**

- governance rule systems represented as directed acyclic graphs

**Source quote.**

> Their acyclic nature means that they do not allow for loops or cycles, which ensures that the progression of governance rules remains unambiguous, eliminating potential redundancies and contradictions within the governance framework.

**From.** Wulf A. Kaal, *How AI Models are Optimized Through Web3 Governance* (2024), Dynamic Governance, page 36

**Cite as.** Wulf A. Kaal, How AI Models are Optimized Through Web3 Governance (2024). SSRN: https://ssrn.com/abstract=4855607

**Verify.** sha256 of source PDF `eb0b3e62374b45a8fa888c6bde9725e606bcb46cf4b5e74a6e851d9f25099113` at https://raw.githubusercontent.com/wulfkaal/Academic-Papers/main/papers/pdf/Kaal%20-%202024%20-%20How%20AI%20Models%20are%20Optimized%20Through%20Web3%20Governance.pdf

**Topics.** governance-design, law-and-legal-systems

**Keywords.** wdag, acyclicity, rule-consistency, governance-design, legal-precedent

**Related claims.**

- restated_by: https://wulfkaal.github.io/claims/4941807-038

**Canonical form.** This markdown file is the canonical hashed representation of the claim. Its sha256 is the content hash used for attestation.