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>

4 files changed, 34 insertions, 0 deletions

diff --git a/research/flossing/q_lambda_scatter/base58590_k25_d64_sigma03_Lonly_fdlyap_n512_seed20260602.meta.json b/research/flossing/q_lambda_scatter/base58590_k25_d64_sigma03_Lonly_fdlyap_n512_seed20260602.meta.json
new file mode 100644
index 0000000..4bab2f0
--- /dev/null
+++ b/research/flossing/q_lambda_scatter/base58590_k25_d64_sigma03_Lonly_fdlyap_n512_seed20260602.meta.json
@@ -0,0 +1,15 @@
+{
+  "batch_size": 32,
+  "ckpt_name": "step_58590",
+  "ckpt_root": "trm/checkpoints/Sudoku-extreme-1k-aug-1000-ACT-torch/pretrain_mlp_t_sudoku_official_gbs768_repro",
+  "fd_eps": 0.01,
+  "fd_lyap": true,
+  "fd_spectrum_k": 0,
+  "include_clean": false,
+  "n_samples": 512,
+  "noise_std": 0.3,
+  "perturb": "l",
+  "rollouts": 25,
+  "seed": 20260602,
+  "steps": 64
+}
\ No newline at end of file
diff --git a/research/flossing/q_lambda_scatter/base58590_k25_d64_sigma03_Lonly_fdlyap_n512_seed20260602.summary.csv b/research/flossing/q_lambda_scatter/base58590_k25_d64_sigma03_Lonly_fdlyap_n512_seed20260602.summary.csv
new file mode 100644
index 0000000..1078ef9
--- /dev/null
+++ b/research/flossing/q_lambda_scatter/base58590_k25_d64_sigma03_Lonly_fdlyap_n512_seed20260602.summary.csv
@@ -0,0 +1,2 @@
+correct_count/det_fail_mean,correct_count/det_success_mean,correct_count/full_frac,correct_count/ge_10_frac,correct_count/ge_1_frac,correct_count/ge_25_frac,correct_count/ge_5_frac,correct_count/mean,correct_count/median,correct_count/q10,correct_count/q25,correct_count/q75,correct_count/q90,correct_count/std,correct_count/zero_frac,deterministic/exact,deterministic/token_acc,fd_lyap,fd_spectrum_k,include_clean,lambda_fail_mean,lambda_mean,lambda_success_mean,lyap_min/exact,lyap_min/token_acc,mean_rollout/exact,mean_rollout/token_acc,n_samples,noise_std,oracle_pass/det_fail_frac,oracle_pass/det_success_frac,oracle_pass/exact,oracle_pass/token_acc,perturb_both,perturb_h,perturb_l,q_fail_mean,q_max/det_fail_frac,q_max/det_success_frac,q_max/exact,q_max/token_acc,q_mean,q_minus_0.25lambda/exact,q_minus_0.25lambda/token_acc,q_minus_0.5lambda/exact,q_minus_0.5lambda/token_acc,q_minus_1lambda/exact,q_minus_1lambda/token_acc,q_minus_2lambda/exact,q_minus_2lambda/token_acc,q_success_mean,rollout0/exact,rollout0/token_acc,rollouts,steps

+15.185714721679688,24.78506851196289,0.859375,0.94921875,0.97265625,0.859375,0.96875,23.47265625,25.0,22.10000228881836,25.0,25.0,25.0,5.083601474761963,0.02734375,0.86328125,0.9498456716537476,1.0,0.0,0.0,6.921443462371826,5.711092472076416,5.632336139678955,0.97265625,0.989703893661499,0.9389062523841858,0.9769077897071838,512.0,0.3,0.800000011920929,1.0,0.97265625,0.9911988973617554,0.0,0.0,1.0,-10.65998649597168,0.800000011920929,1.0,0.97265625,0.989366352558136,6.669083118438721,0.97265625,0.9893181324005127,0.97265625,0.9891493320465088,0.97265625,0.989149272441864,0.97265625,0.9892698526382446,7.7966694831848145,0.94140625,0.9774305820465088,25.0,64.0

diff --git a/research/flossing/q_lambda_scatter/multi4_35805_k25_d64_sigma03_Lonly_fdlyap_n512_seed20260602.meta.json b/research/flossing/q_lambda_scatter/multi4_35805_k25_d64_sigma03_Lonly_fdlyap_n512_seed20260602.meta.json
new file mode 100644
index 0000000..812a733
--- /dev/null
+++ b/research/flossing/q_lambda_scatter/multi4_35805_k25_d64_sigma03_Lonly_fdlyap_n512_seed20260602.meta.json
@@ -0,0 +1,15 @@
+{
+  "batch_size": 32,
+  "ckpt_name": "step_35805",
+  "ckpt_root": "trm/checkpoints/Sudoku-extreme-1k-aug-1000-ACT-torch/pretrain_mlp_t_sudoku_official_gbs768_multi4_loguniform_repro",
+  "fd_eps": 0.01,
+  "fd_lyap": true,
+  "fd_spectrum_k": 0,
+  "include_clean": false,
+  "n_samples": 512,
+  "noise_std": 0.3,
+  "perturb": "l",
+  "rollouts": 25,
+  "seed": 20260602,
+  "steps": 64
+}
\ No newline at end of file
diff --git a/research/flossing/q_lambda_scatter/multi4_35805_k25_d64_sigma03_Lonly_fdlyap_n512_seed20260602.summary.csv b/research/flossing/q_lambda_scatter/multi4_35805_k25_d64_sigma03_Lonly_fdlyap_n512_seed20260602.summary.csv
new file mode 100644
index 0000000..7d15a10
--- /dev/null
+++ b/research/flossing/q_lambda_scatter/multi4_35805_k25_d64_sigma03_Lonly_fdlyap_n512_seed20260602.summary.csv
@@ -0,0 +1,2 @@
+correct_count/det_fail_mean,correct_count/det_success_mean,correct_count/full_frac,correct_count/ge_10_frac,correct_count/ge_1_frac,correct_count/ge_25_frac,correct_count/ge_5_frac,correct_count/mean,correct_count/median,correct_count/q10,correct_count/q25,correct_count/q75,correct_count/q90,correct_count/std,correct_count/zero_frac,deterministic/exact,deterministic/token_acc,fd_lyap,fd_spectrum_k,include_clean,lambda_fail_mean,lambda_mean,lambda_success_mean,lyap_min/exact,lyap_min/token_acc,mean_rollout/exact,mean_rollout/token_acc,n_samples,noise_std,oracle_pass/det_fail_frac,oracle_pass/det_success_frac,oracle_pass/exact,oracle_pass/token_acc,perturb_both,perturb_h,perturb_l,q_fail_mean,q_max/det_fail_frac,q_max/det_success_frac,q_max/exact,q_max/token_acc,q_mean,q_minus_0.25lambda/exact,q_minus_0.25lambda/token_acc,q_minus_0.5lambda/exact,q_minus_0.5lambda/token_acc,q_minus_1lambda/exact,q_minus_1lambda/token_acc,q_minus_2lambda/exact,q_minus_2lambda/token_acc,q_success_mean,rollout0/exact,rollout0/token_acc,rollouts,steps

+13.054545402526855,24.886215209960938,0.890625,0.953125,0.974609375,0.890625,0.966796875,23.615234375,25.0,24.0,25.0,25.0,25.0,5.043018341064453,0.025390625,0.892578125,0.9596836566925049,1.0,0.0,0.0,7.271883964538574,5.830501556396484,5.7459797859191895,0.974609375,0.9897279739379883,0.9446094036102295,0.9784027934074402,512.0,0.3,0.7636363506317139,1.0,0.974609375,0.9913435578346252,0.0,0.0,1.0,-10.081937789916992,0.7636363506317139,1.0,0.974609375,0.9889563918113708,6.753265857696533,0.974609375,0.9889563918113708,0.974609375,0.9890046119689941,0.974609375,0.9889804720878601,0.974609375,0.9889563918113708,7.74045991897583,0.9375,0.9766348004341125,25.0,64.0