# Graph theory

`kaal:entity:graph-theory`

**Status.** derived

This node is assembled mechanically from the 2 claims that carry the concept tag `graph-theory`. It is a roster of what the corpus says under this term. It is **not** an adjudicated definition: no single statement here has been ruled canonical, and no first-appearance call has been made. Read the claims and judge for yourself.

## Every claim under this term

2 claims across 1 works, 2024 to 2024.

**2024**

- [4941807-034](https://wulfkaal.github.io/claims/4941807-034) [design/argued] -- A Weighted Directed Acyclic Graph whose vertices are legal precedents or governance rules and whose directed edges are citations or logical dependencies is the appropriate structure for organizing and navigating the many governance considerations that bear on AI.
  > The structure of WDAGs, with their vertices representing legal precedents or governance rules and directed edges signifying citations or logical dependencies, creates an ideal model for organizing and navigating the multitude of governance considerations pertinent to AI.
  Wulf A. Kaal, AI Governance Via Web3 Reputation System (2024). SSRN: https://ssrn.com/abstract=4941807
- [4941807-038](https://wulfkaal.github.io/claims/4941807-038) [mechanism/argued] -- The acyclic property of the WDAG guarantees that the governance framework contains no loops, which yields an unambiguous progression from foundational principles to specific governance outcomes and preserves the integrity and coherence of the governance process.
  > The acyclic nature of WDAGs ensures there are no loops within the governance framework, facilitating a clear, unambiguous progression from foundational principles to specific governance outcomes. This characteristic is vital for maintaining the integrity and coherence of the AI governance process.
  Wulf A. Kaal, AI Governance Via Web3 Reputation System (2024). SSRN: https://ssrn.com/abstract=4941807

## Verify

Every claim above resolves to a record carrying a verbatim source quote, the sha256 of the source PDF, and a preformatted citation. Nothing here asks to be taken on trust.

    curl -s https://wulfkaal.github.io/entities/graph-theory.md | sha256sum

**Canonical form.** This markdown file is the canonical hashed representation of this entity node. Its sha256 is the content hash.