| cff-version: 1.2.0 | |
| message: "If you use this software, please cite as follows." | |
| title: "agi-forecast — Forecasting models and scenario library for AI governance trajectories" | |
| version: "0.1.0" | |
| date-released: "2026-05-29" | |
| abstract: >- | |
| Forecasting models and scenario library for AI governance trajectories, | |
| built on the SZL Holdings Ouroboros Thesis governance framework and | |
| Lutar Invariant Λ-axis scoring. | |
| type: software | |
| authors: | |
| - family-names: Lutar | |
| given-names: "Stephen P." | |
| name-suffix: "Jr." | |
| affiliation: SZL Holdings | |
| orcid: "https://orcid.org/0009-0001-0110-4173" | |
| license: Apache-2.0 | |
| url: "https://github.com/szl-holdings/agi-forecast" | |
| repository-code: "https://github.com/szl-holdings/agi-forecast" | |
| keywords: | |
| - szl-holdings | |
| - ai-governance | |
| - forecasting | |
| - scenarios | |
| - lutar-invariant | |
| identifiers: | |
| - description: "Ouroboros Thesis v18.0 — research foundation (Zenodo)" | |
| type: doi | |
| value: "10.5281/zenodo.20434276" | |
| - description: "Ouroboros Thesis concept DOI — always-latest" | |
| type: doi | |
| value: "10.5281/zenodo.19944926" | |
| - description: "ORCID iD of the principal author" | |
| type: other | |
| value: "https://orcid.org/0009-0001-0110-4173" | |