results: close Rain parameter-bias screen

10 files changed, 1543 insertions, 0 deletions

diff --git a/results/ep_bias/s0/clean-e10-n10k-s1988.json b/results/ep_bias/s0/clean-e10-n10k-s1988.json
new file mode 100644
index 0000000..475a617
--- /dev/null
+++ b/results/ep_bias/s0/clean-e10-n10k-s1988.json
@@ -0,0 +1,126 @@
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diff --git a/results/ep_bias/s0/constant-cal1000-frozen-e1-n10k-r0p1-p0p5-s1988.json b/results/ep_bias/s0/constant-cal1000-frozen-e1-n10k-r0p1-p0p5-s1988.json
new file mode 100644
index 0000000..c81e30c
--- /dev/null
+++ b/results/ep_bias/s0/constant-cal1000-frozen-e1-n10k-r0p1-p0p5-s1988.json
@@ -0,0 +1,68 @@
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diff --git a/results/ep_bias/s0/innovation-cal1000-frozen-e1-n10k-r0p1-p0p5-s1988.json b/results/ep_bias/s0/innovation-cal1000-frozen-e1-n10k-r0p1-p0p5-s1988.json
new file mode 100644
index 0000000..634dd97
--- /dev/null
+++ b/results/ep_bias/s0/innovation-cal1000-frozen-e1-n10k-r0p1-p0p5-s1988.json
@@ -0,0 +1,68 @@
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diff --git a/results/ep_bias/s0/innovation-cal64-e10-n10k-r0p1-p0p5-s1988.json b/results/ep_bias/s0/innovation-cal64-e10-n10k-r0p1-p0p5-s1988.json
new file mode 100644
index 0000000..1da2034
--- /dev/null
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diff --git a/results/ep_bias/s0/innovation-e10-n10k-r0p1-p0p5-s1988.json b/results/ep_bias/s0/innovation-e10-n10k-r0p1-p0p5-s1988.json
new file mode 100644
index 0000000..ef96efb
--- /dev/null
+++ b/results/ep_bias/s0/innovation-e10-n10k-r0p1-p0p5-s1988.json
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index 0000000..d2d3d7d
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index 0000000..ca18b1c
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diff --git a/results/ep_bias/s0_summary.json b/results/ep_bias/s0_summary.json
new file mode 100644
index 0000000..a7a61bf
--- /dev/null
+++ b/results/ep_bias/s0_summary.json
@@ -0,0 +1,279 @@
+{
+  "interpretation": "At bias ratio 0.1, fixed structured parameter-measurement bias makes the raw run nonfinite while same-RMS zero-mean noise remains trainable. The parameter-level affine predictor does not recover clean learning under online, 64-batch warm-up, or matched 1000-batch frozen calibration, so this adapter is closed rather than promoted.",
+  "observations": {
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+    "innovation_cal1000_frozen_first_epoch_test_accuracy": 0.3275,
+    "innovation_cal64_online_final_test_accuracy": 0.5595,
+    "innovation_online_final_test_accuracy": 0.6295,
+    "raw_structured_bias_nonfinite": true,
+    "same_rms_noise_final_test_accuracy": 0.685,
+    "same_rms_noise_remains_finite": true
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+  "stage": "rain_ep_parameter_measurement_s0",
+  "status": "closed_negative_adapter_with_positive_bias_noise_control",
+  "test_policy": "development_test_subset_observed_each_epoch"
+}