halting probe: output-stable orbit, not state fixed point; no free ACT at state level; paper claims softened

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
This commit is contained in:
Nils
2026-07-15 03:29:26 +02:00
co-authored by Claude Fable 5
parent 8981cda31d
commit 0a5cd80dc1
3 changed files with 1290 additions and 3 deletions
+14
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@@ -230,3 +230,17 @@ training depth) and no capability; map-sharing is load-bearing for the
anytime-usable gain. Depth-4 adapter overfit visible in val (hard k4 CE
0.188@99 -> 0.371@599) — LTV concentrates small-pool overfitting into
single depths.
--- Outcome, item 13b (scored 2026-07-15): accuracy prediction CONFIRMED
(k=8 halt run 52.0/90.2/42.9 = plateau level); convergence predictions
REFUTED. Per-item state-cosine (thresh 0.9995, k=8 cap): k_conv
distribution 4:3, 5:57, 6:47, 7:17, never-within-8:126 — mean ~7, and NO
difficulty gradient (easy 7.01 vs hard 7.00). The earlier "bit-exact by
k~3-4" was the single dynamics-probe example, not the population: outputs
plateau by k~2-4 while the state keeps drifting at 1e-3..1e-4 cosine
scale; the fixed point is an OUTPUT-stable orbit (suffix layers + decode
wash out residual state motion), not a literal state fixed point for most
prompts. Free-ACT via state-cosine therefore yields no early exit at this
threshold, and no ACT-like difficulty allocation falls out for free —
output-level halting signals would be needed. Paper's dynamics claims
softened accordingly.