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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"
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