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@@ -214,6 +214,20 @@ convergent evidence for our anchor-dominant merge; their whole setting
 corresponds to the untrained cell of our attribution table (17.9% hard =
 our FF/untrained level), evaluated by likelihood rather than execution.
 
+**One mechanism, three regimes.** All three works are variants of a single
+design: mix the fed-back state with an anchor derived from the un-looped
+computation. Lys et al.'s inference-time moving average η·h⁽⁰⁾+(1−η)·h⁽ᵗ⁾ is
+an untrained anchor-mixing coefficient; our (1−α)e + α·ŝ + MLP([e;ŝ]) is its
+trained analogue (fixed mix + learned correction); McLeish et al.'s
+concatenated input injection is the fully learned limit, trained end-to-end.
+The anchor coefficient is the stability dial of frozen-band looping: Lys
+et al.'s naive-looping collapse is the zero-anchor (α→1) limit, their
+regularization gains are the untrained anchored regime, and our 12B failure
+at the 2B-tuned α=0.3 — with the untrained-substrate arm showing the damage
+is pre-training-of-the-adapter — is the same dial mis-set at a new scale.
+Stability of retrofitted recurrence appears to be governed by how strongly
+the loop is anchored, across all three training budgets.
+
 Earlier lineage: Universal Transformers (adaptive depth); DEQ (fixed-point
 inference); Huginn (arXiv:2502.05171) — prelude/core/coda from scratch;
 Mixture-of-Recursions (arXiv:2507.10524) — learned per-token depth; Relaxed