CITATION.cff

cff-version: 1.2.0
message: "If you use this standard, please cite it as below."
title: "AI Recommendation Verification Standard (AIRVS)"
abstract: >-
  An open, version-controlled, peer-reviewable standard for evaluating
  AI-generated investment recommendations across six process axes with
  mandatory evidence, three-tier macro/micro coherence, four-point outcome
  time-series (D+30/60/90/180), and a five-tier verdict label vocabulary.
  The standard defines the label vocabulary and the disclosure/lock rules;
  the algorithm that maps measurements to a label is implementer-defined
  and must be pre-published and version-locked per evaluator.
authors:
  - family-names: Kim
    given-names: Mincheol
    email: mckim890@gmail.com
    affiliation: MC AI Labs
version: 1.0.0
date-released: 2026-05-26
license: CC-BY-4.0
type: software
identifiers:
  - type: doi
    value: 10.5281/zenodo.20391984
    description: "v1.0.0 release DOI (Zenodo)"
repository-code: "https://github.com/emceeKim/AI-RVS"
url: "https://doi.org/10.5281/zenodo.20391984"
keywords:
  - AI evaluation
  - investment recommendation
  - methodology standard
  - falsifiability
  - peer review
  - large language model
  - hallucination detection
  - open standard
  - verdict label
  - decision rule