diff options
Diffstat (limited to 'results/oral_a_failure_diagnosis.json')
| -rw-r--r-- | results/oral_a_failure_diagnosis.json | 12 |
1 files changed, 10 insertions, 2 deletions
diff --git a/results/oral_a_failure_diagnosis.json b/results/oral_a_failure_diagnosis.json index b26d81e..79feb33 100644 --- a/results/oral_a_failure_diagnosis.json +++ b/results/oral_a_failure_diagnosis.json @@ -52,10 +52,11 @@ "matched frozen-forward unit targets later yield only 0.0011 early-layer alignment", "structured learning reaches 0.0072 versus a 0.0240 cross-validated family oracle", "unconstrained coefficients raise the same spatial basis oracle only to 0.0549", - "direct A/G estimation leaves early alignment unchanged at 0.0071" + "direct A/G estimation leaves early alignment unchanged at 0.0071", + "held-out gated 3x3 maps from exact child errors reach 0.9998" ], "interpretation_limit": "instantaneous target metrics alone do not prove zero conditional learning; structured v2 has low instantaneous cosine yet positive exact-gradient alignment", - "next_design_constraint": "do not add the tested naive local-average/channel-mean bases; do not repeat the closed A/G rate grid; use a more informative hierarchical or high-level contextual feedback signal and audit remaining cross-layer noise", + "next_design_constraint": "do not add the tested activation contexts or repeat the closed A/G rate grid; learn spatial hierarchical feedback without weight copying and audit against hierarchical FA/BurstCCN", "next_test_outcome": "representable-subspace perturbation improved alignment but failed; direct vectorizer-space estimation then improved only middle/late layers and also failed the frozen early-layer gate" }, "frozen_outcome": { @@ -76,6 +77,12 @@ "loss": null } }, + "post_failure_hierarchical_refinement": { + "direct_output_channel_gated": 0.031122580851844408, + "downstream_activation_context": 0.032068526988258954, + "hierarchical_1x1_gated": 0.50521034930192, + "hierarchical_3x3_gated": 0.9997667354251036 + }, "post_failure_representation_refinement": { "channel_gated_cv_oracle_early_third_alignment": 0.02396580002561188, "naive_local_context_cv_early_third_alignment": 0.022457713873793972, @@ -110,6 +117,7 @@ "source_paths": { "full": "results/oral_a_dev/sdil_full_r20_s0.json", "gate": "results/oral_a_full_gate.json", + "hierarchical_oracle": "results/oral_a_hierarchical_oracle.json", "representation": "results/oral_a_representation_diagnosis.json", "short": "results/oral_a_short/sdil_channel_gated_lr0.03.json", "v2_gate": "results/oral_a_v2_calibration_gate.json", |