Baseline restarted with loop guard, thinking off (run base 20400)

train/STATE.md

@@ -28,18 +28,11 @@ Task: `docs/stage1-training-task.md`. Settings and weights: `train/README.md`. U
 
 ## Running (detached)
 
-- MLX server PID 66098 (not restarted), log `runs/stage1/server.log`.
-- Baseline on the 11-task subset (`train/subset.json`; the 25-task subset is `train/subset_v1_25.json`), started
-  2026-10-03 22:36 by `train/baseline_chain.sh` (PID 69101; python PID 69107), logs `runs/stage1/baseline_chain.log`
-  and `runs/stage1/baseline.log`. Settings: max_tokens 16384, reasoning medium, budget 60 (`train/README.md`).
-  macOS notification after 2 tasks ("ask for the time estimate") and at the end ("Baseline (11 tasks) ended").
-- The earlier night chain (25 tasks) was stopped with its first T01 run (aborted at 33 tool calls after 2 h;
-  A4H objects deleted; directory `runs/stage1/baseline/_aborted_20100_T01`).
-
-- 2026-10-04: A4H memory: Docker VM 36 GB (was 64 GB = all RAM), container 32 GB; swap went from 15 GB to 1.4 GB.
-  Baseline switched to thinking off (`enable_thinking: false` per request); thinking-on results kept in
-  `runs/stage1/baseline_thinking_on.json`. Loop guard (3 identical pushes) and per-run activation error records
-  added (`harness/agents.py`, `harness/proxy.py`, `harness/runner.py`, `train/baseline.py`).
+- MLX server (restarted 2026-10-04 06:38 after it had exited; PID in `pgrep -f mlx_lm`), log `runs/stage1/server.log`.
+- Baseline on the 11-task subset (`train/subset.json`), thinking off, loop guard 3, max_tokens 16384, started
+  2026-10-04 about 08:00 by `train/baseline_chain.sh` (run base 20400), logs `runs/stage1/baseline_chain.log` and
+  `runs/stage1/baseline.log`. Notification after 2 tasks and at the end ("Baseline (11 tasks) ended").
+- The T01 trial runs without the guard were stopped (`_aborted_*` in `runs/stage1/baseline/`, A4H objects deleted).
 
 ## Next