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| -rw-r--r-- | RESULTS.md | 22 | ||||
| -rw-r--r-- | ROADMAP.md | 6 |
2 files changed, 25 insertions, 3 deletions
@@ -176,13 +176,29 @@ training-only validation split (hash `8328b206...515b`). All eight runs came fro | learned NP | 1 | 16 | 36.52 | 220 | 64.0x | 44.0x | -0.175 | | learned NP | 2 | 32 | 36.78 | 220 | 64.0x | 52.8x | 0.150 | -`K=1/every=4` is frozen for confirmation: it exceeds the C3 10x-query/90%-retention threshold in -validation and is the only candidate that improves on the reference endpoint. The ablation also +`K=1/every=4` was frozen for confirmation: it exceeded the C3 10x-query/90%-retention threshold in +validation and was the only candidate that improved on the reference endpoint. The ablation also separates directions from update frequency: spending the same 880 queries as `K=2/every=8` or `K=4/every=16` is worse, so frequent noisy regression targets are more useful than precise sparse targets. GTX-1080 wall time remains approximately 15–23 seconds across the grid despite the 11x calibration-work change, demonstrating why the Pareto audit needs hardware-independent work in -addition to wall time. C3 is not declared passed until frozen multi-seed confirmation. +addition to wall time. + +The frozen full-training/test confirmation used five paired seeds at clean revision `6689994`, with +no intermediate test evaluation or diagnostics: + +| method | n | test acc (%) | batch loss queries | total training forward-eq examples | peak allocated (MiB) | wall (s) | +|:-------|--:|-------------:|-------------------:|-----------------------------------:|---------------------:|---------:| +| DFA | 5 | 37.106 ± 0.710 | 0 | 250,000 | 739.8 ± 0.0 | 17.5 ± 2.0 | +| K16/e4 | 5 | 38.490 ± 0.658 | 15,648 | 2,313,952 | 803.5 ± 0.0 | 22.6 ± 4.7 | +| **K1/e4** | **5** | **38.668 ± 0.589** | **978** | **437,632** | **739.8 ± 0.0** | **20.8 ± 0.8** | + +The mean paired gain over DFA is 1.384 points for K16/e4 and 1.562 points for K1/e4, giving +112.9% retention. The selected protocol reduces logical perturbation queries 16x, calibration +forward-equivalent work 11x, and total training forward-equivalent work 5.3x. Its peak allocation +falls to the DFA level. **Gate C3 passes.** Wall time improves only modestly because fixed/data/GPU +under-utilization costs dominate this small network, so it is reported but not substituted for the +hardware-independent result. ## Legacy credit assignment / depth utility Per-layer alignment cos(r_l, −∇_{h_l}L), early-third average, CIFAR no-BN residual: @@ -54,6 +54,12 @@ of trained blocks must reduce SDIL performance, ruling out an effective shallow- ### C3. Causal calibration is genuinely amortized +**Status: passed on 2026-07-22.** The frozen five-seed confirmation retained 112.9% of the K16/e4 +gain over DFA while using 16x fewer perturbation loss queries, 11x less calibration +forward-equivalent work, and 5.3x less total training forward-equivalent work. Peak allocated +memory fell from 803.5 MiB to 739.8 MiB. These numbers apply to the audited CIFAR-10 d20/w64 +protocol; extrapolation to standard CNNs remains an oral-A question. + Report wall time, forward-equivalent work, number of scalar loss queries, peak device memory, and the perturbation batch expansion. Sweep perturbation frequency and number of directions under both fixed epoch and fixed query/FLOP budgets. |