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, 88 insertions, 0 deletions

diff --git a/research/flossing/flossing_suite/results/smoke/toy_smoke.json b/research/flossing/flossing_suite/results/smoke/toy_smoke.json
new file mode 100644
index 0000000..6870365
--- /dev/null
+++ b/research/flossing/flossing_suite/results/smoke/toy_smoke.json
@@ -0,0 +1,88 @@
+{
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+    "input_dim": 1,
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+    "lyap_steps": 30,
+    "floss_input_steps": 40,
+    "seed_ic": 1,
+    "seed_input": 1,
+    "seed_net": 1,
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+    "beta2": 0.999,
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+    "recurrent_mean_gain": 0.0,
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+    "ws_std": 1.0,
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+    "device": "cuda",
+    "out": "/home/yurenh2/rrm/research/flossing/flossing_suite/results/smoke/toy_smoke.json"
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+  "evals": [
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+  "task": []
+}
\ No newline at end of file