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_official58590_n2048.json b/research/flossing/analysis_2x2/results_trm_official58590_n2048.json
new file mode 100644
index 0000000..bc000b2
--- /dev/null
+++ b/research/flossing/analysis_2x2/results_trm_official58590_n2048.json
@@ -0,0 +1,105 @@
+{
+  "npz": "retest/trm_gbs768_step58590_full_n2048.npz",
+  "n": 2048,
+  "exact_acc": 0.8759765625,
+  "late_drift_def": "mean(drift_zH[:, -4:])",
+  "otsu_tau_log10": 1.3628430376123835,
+  "frac_converged": 0.841796875,
+  "cells": {
+    "A_conv_correct": {
+      "n": 1724,
+      "lam1_median": 0.011281780432909727,
+      "lam1_mean": 0.015547435924631226,
+      "lam1_iqr": [
+        0.008467044215649366,
+        0.01652396097779274
+      ],
+      "lam8_median": 0.0020897792419418693,
+      "spectrum_median": [
+        0.011281780432909727,
+        0.008820333052426577,
+        0.007248040288686752,
+        0.0058647627010941505,
+        0.004666940309107304,
+        0.003820874495431781,
+        0.0028478524181991816,
+        0.0020897792419418693
+      ],
+      "token_acc_median": 1.0,
+      "halted_at_median": 2.0
+    },
+    "B_conv_wrong": {
+      "n": 0
+    },
+    "C_nonconv_correct": {
+      "n": 70,
+      "lam1_median": 0.0819745659828186,
+      "lam1_mean": 0.07783016583749226,
+      "lam1_iqr": [
+        0.06863085739314556,
+        0.09041773155331612
+      ],
+      "lam8_median": 0.008648575283586979,
+      "spectrum_median": [
+        0.0819745659828186,
+        0.052037810906767845,
+        0.039651695638895035,
+        0.028503953479230404,
+        0.023648646660149097,
+        0.016836480237543583,
+        0.011321825440973043,
+        0.008648575283586979
+      ],
+      "token_acc_median": 1.0,
+      "halted_at_median": 14.0
+    },
+    "D_nonconv_wrong": {
+      "n": 254,
+      "lam1_median": 0.10287182405591011,
+      "lam1_mean": 0.10287220525283983,
+      "lam1_iqr": [
+        0.09241268038749695,
+        0.11242476664483547
+      ],
+      "lam8_median": 0.01879305113106966,
+      "spectrum_median": [
+        0.10287182405591011,
+        0.0741146095097065,
+        0.05705060437321663,
+        0.045855674892663956,
+        0.03607587888836861,
+        0.029474849812686443,
+        0.023949903436005116,
+        0.01879305113106966
+      ],
+      "token_acc_median": 0.6296296119689941,
+      "halted_at_median": 0.0
+    }
+  },
+  "mixture": {
+    "wrong_that_converged": 0.0,
+    "correct_that_nonconverged": 0.03901895206243032
+  },
+  "contrasts": {
+    "dlam1_correct_minus_wrong_overall": -0.09140016930177808,
+    "dlam1_within_converged": NaN,
+    "dlam1_within_nonconverged": -0.020897258073091507,
+    "dlam1_wrong_conv_minus_wrong_nonconv": NaN
+  },
+  "auc": {
+    "neg_lam1_predicts_correct_overall": 0.9934800165029538,
+    "neg_lam1_predicts_correct_within_conv": NaN,
+    "neg_lam1_predicts_correct_within_nonconv": 0.8484814398200224,
+    "neg_logdrift_predicts_correct": 0.9719340057409211,
+    "neg_lam1_predicts_converged": 0.9923716736845121
+  },
+  "aux": {
+    "late_drift_zL_corr_with_zH_log": 0.9854614526028403,
+    "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