rrm workspace: TRM/HRM/SRM code, Maze dataset, dynamical-analysis pipelineHEADmain

Curated export for clone-and-run Maze training (2x A6000) + diagnostics.
trm/hrm pretrain.py carry trajectory-augmentation code (backward-compatible).
Heavy artifacts (checkpoints/wandb/npz) gitignored; see PROVENANCE.md.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

1 files changed, 105 insertions, 0 deletions

diff --git a/research/flossing/analysis_2x2/results_trm_official_gbs768_step58590_n512.json b/research/flossing/analysis_2x2/results_trm_official_gbs768_step58590_n512.json
new file mode 100644
index 0000000..460e407
--- /dev/null
+++ b/research/flossing/analysis_2x2/results_trm_official_gbs768_step58590_n512.json
@@ -0,0 +1,105 @@
+{
+  "npz": "../official_gbs768_spectrum/trm_gbs768_base_step58590_n512_k8_seed20260602.npz",
+  "n": 512,
+  "exact_acc": 0.875,
+  "late_drift_def": "mean(drift_zH[:, -4:])",
+  "otsu_tau_log10": 1.364234039179148,
+  "frac_converged": 0.84765625,
+  "cells": {
+    "A_conv_correct": {
+      "n": 434,
+      "lam1_median": 0.011052772868424654,
+      "lam1_mean": 0.015589851711679268,
+      "lam1_iqr": [
+        0.008054324658587575,
+        0.017474188469350338
+      ],
+      "lam8_median": 0.0021472229855135083,
+      "spectrum_median": [
+        0.011052772868424654,
+        0.008679452817887068,
+        0.007291494170203805,
+        0.005999391432851553,
+        0.004774029366672039,
+        0.0037459908053278923,
+        0.0029579862020909786,
+        0.0021472229855135083
+      ],
+      "token_acc_median": 1.0,
+      "halted_at_median": 2.0
+    },
+    "B_conv_wrong": {
+      "n": 0
+    },
+    "C_nonconv_correct": {
+      "n": 14,
+      "lam1_median": 0.08274861052632332,
+      "lam1_mean": 0.0802882562524506,
+      "lam1_iqr": [
+        0.07004822231829166,
+        0.09586159884929657
+      ],
+      "lam8_median": 0.00618100818246603,
+      "spectrum_median": [
+        0.08274861052632332,
+        0.05459940806031227,
+        0.039645833894610405,
+        0.026364507153630257,
+        0.020821912214159966,
+        0.015413322485983372,
+        0.010960425715893507,
+        0.00618100818246603
+      ],
+      "token_acc_median": 1.0,
+      "halted_at_median": 14.0
+    },
+    "D_nonconv_wrong": {
+      "n": 64,
+      "lam1_median": 0.10339764878153801,
+      "lam1_mean": 0.10259491263423115,
+      "lam1_iqr": [
+        0.09241705574095249,
+        0.1118917465209961
+      ],
+      "lam8_median": 0.02135413885116577,
+      "spectrum_median": [
+        0.10339764878153801,
+        0.07536708191037178,
+        0.057968027889728546,
+        0.0463954322040081,
+        0.03947761468589306,
+        0.03304685465991497,
+        0.026251215487718582,
+        0.02135413885116577
+      ],
+      "token_acc_median": 0.6296296119689941,
+      "halted_at_median": 0.0
+    }
+  },
+  "mixture": {
+    "wrong_that_converged": 0.0,
+    "correct_that_nonconverged": 0.03125
+  },
+  "contrasts": {
+    "dlam1_correct_minus_wrong_overall": -0.09217484341934323,
+    "dlam1_within_converged": NaN,
+    "dlam1_within_nonconverged": -0.02064903825521469,
+    "dlam1_wrong_conv_minus_wrong_nonconv": NaN
+  },
+  "auc": {
+    "neg_lam1_predicts_correct_overall": 0.99267578125,
+    "neg_lam1_predicts_correct_within_conv": NaN,
+    "neg_lam1_predicts_correct_within_nonconv": 0.7667410714285714,
+    "neg_logdrift_predicts_correct": 0.9767020089285714,
+    "neg_lam1_predicts_converged": 0.9906947890818859
+  },
+  "aux": {
+    "late_drift_zL_corr_with_zH_log": 0.983883308834529,
+    "q_halt_final_median_by_cell": {
+      "A_conv_correct": 7.78125,
+      "B_conv_wrong": NaN,
+      "C_nonconv_correct": 7.71875,
+      "D_nonconv_wrong": -11.125
+    }
+  }
+}
\ No newline at end of file