CITATION.cff

cff-version: 1.2.0
message: "If you use this repository, please cite the accompanying paper. The German Credit dataset must be cited separately (see data/README.md)."
title: "causal-perception-implementation: experiments on causal perception with structural causal models"
abstract: "Research code for causal-perception experiments: comparing competing structural causal models through interventional and counterfactual distributions, with interventional/counterfactual distances (Wasserstein-2, KL, Total Variation) and fairness metrics on the German Credit dataset."
type: software
url: "https://github.com/SantanderAI/causal-perception-implementation"
repository-code: "https://github.com/SantanderAI/causal-perception-implementation"
license: Apache-2.0
authors:
  - family-names: "Álvarez"
    given-names: "José Manuel"
    email: "j.alvarez@gruposantander.com"
    affiliation: "Santander AI Lab"
preferred-citation:
  type: article
  title: "Causal Perception"
  year: 2026
  notes: "Forthcoming / under review. Update title, venue, volume/issue/pages and DOI once the paper is published."
  authors:
    - family-names: "Álvarez"
      given-names: "José Manuel"
  # TODO: add venue + volume/issue/pages/DOI once the paper is published.
references:
  - type: data
    title: "Statlog (German Credit Data)"
    authors:
      - family-names: "Hofmann"
        given-names: "Hans"
    year: 1994
    publisher:
      name: "UCI Machine Learning Repository"
    doi: "10.24432/C5NC77"
    notes: "Original German Credit dataset. Fetched at runtime via OpenML dataset 'credit-g' (https://www.openml.org/d/31)."
  - type: conference-paper
    title: "Path-Specific Counterfactual Fairness"
    authors:
      - family-names: "Chiappa"
        given-names: "Silvia"
    year: 2019
    collection-title: "Proceedings of the AAAI Conference on Artificial Intelligence, 33(01)"
    notes: "Source of the causal DAG over the German Credit variables used here."