rec arm outcome: rho->4.5 (norm-projected churn), prediction (a) confirmed through k=8; k16/32 cancelled

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
This commit is contained in:
Nils
2026-07-15 01:39:22 +02:00
co-authored by Claude Fable 5
parent 3477fb5da0
commit 1076d57d96
2 changed files with 61 additions and 0 deletions
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@@ -149,3 +149,17 @@ number for the unified adapter exists at time of writing.
mean k_conv ≈ 3; hard-labeled items converge SLOWER than easy ones mean k_conv ≈ 3; hard-labeled items converge SLOWER than easy ones
(adaptive compute allocates like ACT without any learned halting (adaptive compute allocates like ACT without any learned halting
parameter). parameter).
--- Outcome, item 11 (scored 2026-07-15, k=16/32 cells cancelled by
decision after k<=8): PREDICTION (a) SUBSTANTIALLY CONFIRMED, with one
twist. The unconstrained arm left contraction immediately (rho(A):
0.3 -> 3.4 by step 100, plateau ~4.5) yet trained smoothly — per-iteration
norm-matching converts magnitude explosion into directional churn, so
"rho>=1 => divergence" becomes "rho>=1 => divergence OR stationary churn"
under a norm projection. Consequences as predicted: substrate damage
(easy 98.4 -> ~69% at all k>0, far exceeding any contractive arm's tax),
val CE flat k=1..16 (stationary, not progressive), hard bucket at
merge level (35.7/39.3/42.9% at k=2/4/8 — a one-item-per-depth-doubling
crawl that at k=8 reaches what the contractive merge reaches at k=4,
never approaching the amortization ceiling from above). 4x parameters
bought nothing. Depth-monotone computation did not emerge at this budget.
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{
"tag": "rec16_e400_PARTIAL",
"note": "k=16,32 cancelled by decision after k<=8 showed prediction (a); rho(A) from checkpoints",
"rho_trajectory": {
"e100": 3.357,
"e200": 4.31,
"e300": 4.456,
"e400": 4.525,
"e500": 4.492,
"e600": 4.465
},
"ks": {
"0": {
"acc": 0.488,
"by_label": {
"easy": 0.984,
"hard": 0.036,
"drop": 0.01
}
},
"2": {
"acc": 0.408,
"by_label": {
"easy": 0.697,
"hard": 0.357,
"drop": 0.07
}
},
"4": {
"acc": 0.412,
"by_label": {
"easy": 0.697,
"hard": 0.393,
"drop": 0.07
}
},
"8": {
"acc": 0.408,
"by_label": {
"easy": 0.689,
"hard": 0.429,
"drop": 0.06
}
}
},
"n": 250
}