MINUANO G1: Machine-Insight via Nature-aligned Uncertainty & Audit, Not Opinion (Generation 1)
Mathine: Governance-First Insight Contract Machine
Link: https://doi.org/10.5281/zenodo.18727857
MINUANO is an open, governance-first method for producing decision-relevant content from public sources while preventing interpretive drift from being promoted to unwarranted certainty. The method defines a disciplined pipeline: an analysis begins with explicit source selection and ends with a publishable artifact that separates attributable facts from hypotheses, predictions, and normative implications.
MINUANO formalizes three commitments. First, uncertainty must be explicit whenever evidence is incomplete. Second, every hypothesis must ship with refutation conditions that would falsify it. Third, regime sensitivity must be declared whenever conclusions may invert across cohorts, venues, time windows, model versions, or operational constraints.
To make this operational, MINUANO specifies a standard output contract: a fact ledger constrained to what is publicly supported; a bounded insight layer that converts observations into testable hypotheses; a regime map that enumerates primary inversion axes; and a closure target that defines what evidence would count as “settled.”
A central governance feature is an auditable provenance boundary between what is sourced and what is inferred. The goal is to enable independent review of attribution and interpretation without requiring agreement on conclusions—so disputes are localizable to specific receipts, assumptions, and regime declarations.
Mathine is presented as the first machine built to exercise MINUANO in practice: a configurable analyzer that selects an appropriate analytical lens (“math machine”) per content class and produces consistent, reviewable artifacts across incidents, papers, benchmarks, policies, and security notes. The intended outcome is a scalable publication discipline where confidence is earned through stated conditions and replayable boundaries, not implied by tone.
Mathine — Evidence In, Trust Out 