# kaal:claim:4941807-035

**Claim.** Edge weights in the governance graph quantify the relevance, authority, or impact of each precedent or citation, and it is this weighting that steers decision making by surfacing the most pertinent governance pathways.

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

**Holds when.**

- where weights are assigned by factors such as recency, jurisdictional relevance, or citation frequency

**Source quote.**

> system, the weights on the edges could quantify the relevance, authority, or impact of each precedent or citation, guiding the decision-making processes

**From.** Wulf A. Kaal, *AI Governance Via Web3 Reputation System* (2024), Dynamic Governance, page 30

**Cite as.** Wulf A. Kaal, AI Governance Via Web3 Reputation System (2024). SSRN: https://ssrn.com/abstract=4941807

**Verify.** sha256 of source PDF `ab66c1e99a88da1fa36b0c6b536df5184231fe6aa427f3dd53287a4e0ac79853` at https://raw.githubusercontent.com/wulfkaal/Academic-Papers/main/papers/pdf/Kaal%20-%202024%20-%20AI%20Governance%20Via%20Web3%20Reputation%20System.pdf

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

**Keywords.** wdag, edge-weights, precedent-ranking, decision-support, ai-governance

**Related claims.**

- restates: https://wulfkaal.github.io/claims/4855607-023
- extended_by: https://wulfkaal.github.io/claims/5886342-042

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