cdfi-framework/CITATION.cff at main · mj3b/cdfi-framework · GitHub

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cff-version: 1.2.0
message: "If you use this framework, please cite it using the metadata below."
type: software
title: "CDFI Framework: Evaluation Governance Infrastructure for Domain-Specific AI Doctrinal Benchmarking"
abstract: >
  A reusable evaluation governance methodology for building domain-specific AI doctrinal
  benchmarks. Derived from seven frontier AI safety research publications and translated
  into a scoring architecture for Catholic doctrinal evaluation. Includes the Catholic
  Doctrinal Fidelity Index (CDFI) formula, weighting matrix, pass/fail cap gates,
  deployment tiers, and a four-part judge reliability certification protocol.
  SAICRED v2 is the reference implementation.
authors:
  - family-names: Banasihan
    given-names: Mark Julius
    orcid: "https://orcid.org/0009-0001-8121-2878"
    email: markjuliusbanasihan@gmail.com
version: "1.5"
date-released: "2026-05-31"
license: Apache-2.0
repository-code: "https://github.com/mj3b/cdfi-framework"
url: "https://github.com/mj3b/cdfi-framework"
doi: "10.5281/zenodo.20475185"
keywords:
  - AI evaluation
  - doctrinal fidelity
  - Catholic AI
  - benchmark methodology
  - evaluation governance
  - AI safety
  - religious AI
  - CDFI
  - SAICRED
references:
  - type: article
    title: "Challenges in Evaluating AI Systems"
    authors:
      - name: Anthropic
    year: 2023
    url: "https://www.anthropic.com/research/evaluating-ai-systems"
  - type: article
    title: "Auditing Language Models for Hidden Objectives"
    authors:
      - name: Anthropic
    year: 2025
    url: "https://arxiv.org/abs/2503.10965"
  - type: article
    title: "A Statistical Approach to Model Evaluations"
    authors:
      - name: Anthropic
    year: 2024
    url: "https://www.anthropic.com/research/statistical-approach-to-model-evals"
  - type: article
    title: "Discrimination in Language Model Decisions"
    year: 2024
    url: "https://arxiv.org/abs/2312.03689"
  - type: article
    title: "Measuring Faithfulness in Chain-of-Thought Reasoning"
    authors:
      - name: Anthropic
    year: 2023
    url: "https://www.anthropic.com/research/measuring-faithfulness-in-chain-of-thought-reasoning"
  - type: article
    title: "Sabotage Evaluations"
    authors:
      - name: Anthropic
    year: 2024
    url: "https://www.anthropic.com/research/sabotage-evaluations"
  - type: article
    title: "Evaluating Feature Steering"
    authors:
      - name: Anthropic
    year: 2023
    url: "https://www.anthropic.com/research/evaluating-feature-steering"