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Source and scope audit

Paper identity

Paper anchors used

  • Definition 1: the time-unrolled evolutionary-selection DAG and its four edge families.
  • Definition 2 and Theorem 1: clique augmentation over selection ancestors and equality of the relevant conditional-independence model.
  • Algorithm 1 and Theorem 2: interpret the CPDAG returned by PC/GES; oriented edges must be sound under the stated large-sample assumptions.
  • Algorithm 2 and Theorem 4: add the exogenous domain index and use multi-domain information to identify additional directions.
  • Section 5 and Appendix D.1: ER-DAG synthetic generator, average degree 2, d/5 selection parents, coefficient magnitudes 0.5–2, noise variances 1–4, six offspring bins, N=5000, PC alpha 0.05, and GES L0 penalty 2.
  • Appendix D.3: 2024 PUMS and Fisher-Z PC real-data analysis.

The scripts are independent clean-room implementations. No author repository was located or used.

External sources

Reproduction boundary

The oracle audit verifies finite sampled instances of the graph-theoretic statements, not their universal proofs. The discovery audit uses paper-native dimensions, generations, sample size, distributions, PC alpha, and GES penalty, but is not author-code execution and may differ in implementation details or random seeds. The real-data run covers California PUMS only; it does not cover the paper's remaining 49 states, DGRP, Cranial, Panzea, PanTHERIA, AVONET, or CSES. PUMS lacks causal ground truth, so it cannot measure edge precision.

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