# Community audit `kaal:entity:community-audit` **Status.** derived This node is assembled mechanically from the 6 claims that carry the concept tag `community-audit`. 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 6 claims across 5 works, 2018 to 2024. **2018** - [3266953-036](https://wulfkaal.github.io/claims/3266953-036) [normative/argued] -- The Persona Protocol redistributes power toward people who have no agency in centralized systems, because community originated audits sit at the core of every Semada DAO whereas existing systems rarely include audits deriving from the community itself. > From a social justice perspective, the Semada Persona Protocol takes power and spreads it out much further to people who have no agency in the centralized systems. In the existing systems very few audits exist that derive from the community itself. Craig Calcaterra, Wulf A. Kaal, Gopinath Sivalingam, Reputation Protocol for the Internet of Trust - Conceptual Whitepaper (2018). SSRN: https://ssrn.com/abstract=3266953 **2022** - [4015908-019](https://wulfkaal.github.io/claims/4015908-019) [design/argued] -- Because pre-public token allocations to cover start-up costs run against the majority view on fair launches, preserving the spirit of fair launch requires that such allocations be fully transparent, announced to the community, and open to a community audit of the books. > However, in order to maintain the spirit of fair launch, such token allocations before the public launch should be fully transparent and announced to the community with a community audit of the books, as desired. Wulf A. Kaal, Fair Token Launch (2022). SSRN: https://ssrn.com/abstract=4015908 **2024** - [4685567-017](https://wulfkaal.github.io/claims/4685567-017) [failure/argued] *(failure mode)* -- The impact measurement consulting business follows a distinctly centralized approach, and without the crowd wisdom and community audit that WEB3 Impact 3.0 supplies, such consulting practices are subject to single points of failure. > Without crowd wisdom and community audit that are part of WEB3 Impact 3.0, such consulting practices can often be subject to single points of failure. Wulf A. Kaal, Impact Investing Innovation - From Impact 1.0 to 3.0 (2024). SSRN: https://ssrn.com/abstract=4685567 - [4734750-004](https://wulfkaal.github.io/claims/4734750-004) [failure/argued] *(failure mode)* -- Bug bounty programs fail at their own premise because the hackers they pay to demonstrate exploitability frequently sell or exploit the bugs they find instead of disclosing them. > Alas, hackers often sell the bug or exploit them when they discover them. Wulf A. Kaal, Code Review DAO (2024). SSRN: https://ssrn.com/abstract=4734750 - [4734750-029](https://wulfkaal.github.io/claims/4734750-029) [design/argued] -- The community audit should proceed in two stages: an informal vote that reveals collective wisdom to all members, followed by a formal vote in which staked reputation tokens are at risk, and this sequence gives job posters significant quality assurances. > Once the entire community knows how each member feels about the code review examined, the CRDAO now votes in a formal vote in which the reputation tokens staked are at risk. Wulf A. Kaal, Code Review DAO (2024). SSRN: https://ssrn.com/abstract=4734750 - [4755632-034](https://wulfkaal.github.io/claims/4755632-034) [design/argued] -- A sequenced two-stage vote, an informal community vote that reveals collective wisdom followed by a formal vote in which staked reputation tokens are at risk, gives job posters significant assurance that the reviewed code and the platform report meet the highest available quality standards. > the CRDAO now votes in a formal vote in which the reputation tokens30 staked are at risk. This sequence of votes provides job posters with significant assurances that the code examined and the Code Review Platform report on the code adheres to the highest standards of quality Wulf A. Kaal, AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning (2024). SSRN: https://ssrn.com/abstract=4755632 ## 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/community-audit.md | sha256sum **Canonical form.** This markdown file is the canonical hashed representation of this entity node. Its sha256 is the content hash.