evidence/claim5/source_audit.md

Claim 5 source audit

• Paper: https://ar5iv.labs.arxiv.org/html/2605.31369
• Retrieved: 2026-07-29T11:22:44Z
• HTML SHA-256: 9e465ccada2014404d315c46108399b4ee49693d09d9866ff3dbd426045fd30a
• Section 5.3: “GWF for Various Divergences”
• Authors' code revision: 6633b553a244634bd2c2e1142603aad1c1fbe55a

Section 5.3 names KL, Jensen–Shannon, and chi-squared as the f-divergences and asserts “moderate yet consistent improvements.” It compares no JKO with every step size in {0.01, 1, 100} on CIFAR-10, using Small-Net and the same number of generator updates.

The authors' README maps Jensen–Shannon to the Shannon CLI label, and losses.py implements it with the softplus GAN loss.