diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index f11e26b..640ad26 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -103,13 +103,14 @@ soup_cli/
   migrate/            - Config migration (LLaMA-Factory, Axolotl, Unsloth)
   recipes/            - Ready-made configs for popular models (80 recipes)
   autopilot/          - Zero-config decision engine (v0.25.0)
-  registry/           - Model Registry (hashing, store, diff) (v0.26.0)
-  cans/               - Shareable .can artifact format (v0.26.0)
+  registry/           - Model Registry (hashing, store, diff, attach) (v0.26.0 + v0.33.0)
+  cans/               - Shareable .can artifact format + run/publish orchestrator (v0.26.0 + v0.33.0)
   data/traces/        - Trace-to-Preference harvester (v0.26.0)
-  utils/              - GPU, errors, MoE, GaLore, QAT, Unsloth, vLLM, SGLang, Liger, FlashAttn, FSDP, Ring Attention, long-context, quality, curriculum, freeze, dataset-registry, mlx, peft_builder, paths, topology, launcher, mii, pipeline, cut_ce, fp8, gradient_ckpt, kernel_picker, cross_doc_attn, activation_offload, hf, spec_pairing, structured_output, metrics, tracing, auto_quant, lr_finder, grad_accum, mixed_precision, warmup, spike_recovery, convergence
+  data/collators.py   - CrossDocCollator for sample packing (v0.33.0)
+  utils/              - GPU, errors, MoE, GaLore, QAT, Unsloth, vLLM, SGLang, Liger, FlashAttn, FSDP, Ring Attention, long-context, quality, curriculum, freeze, dataset-registry, mlx, peft_builder, paths, topology, launcher, mii, pipeline, cut_ce, fp8, gradient_ckpt, kernel_picker, cross_doc_attn, activation_offload, hf, spec_pairing, structured_output, metrics, tracing, auto_quant, lr_finder, grad_accum, mixed_precision, warmup, spike_recovery, convergence, v028_features
   ui/                 - Web UI (FastAPI + HTML/JS SPA)
 
-tests/                - Test suite (97 files, 3696 tests)
+tests/                - Test suite (104 files, 3818 tests)
 examples/             - Real-world config examples and datasets
 ```
 
@@ -234,6 +235,13 @@ pytest tests/ --cov=soup_cli --cov-report=html
 | test_inference_advanced.py | Inference Excellence: prefix caching, spec-decoding auto-pairing, LoRA hot-swap, structured output, dashboard + /metrics, OpenTelemetry tracing, auto-quant picker (v0.30.0) |
 | test_recipes_v031.py | Model & Recipe Breadth: 34 new recipes (vision/audio/reasoning/edge/domain/multimodal); catalog-wide invariants; CI workflow validation (v0.31.0) |
 | test_auto_tuning.py | Training Stability & Auto-Tuning: LR range finder, grad-accum monitor, auto mixed-precision, auto warmup, spike recovery, convergence detector, autopilot wiring (v0.32.0) |
+| test_part_f_hardening.py | Live Wire Part F: RLVR OS-level sandbox isolation + prune_checkpoints TOCTOU (v0.33.0) |
+| test_part_a_wave1.py | Live Wire Part A: live eval-gate scoring + registry attach (v0.33.0) |
+| test_part_a_wave2.py | Live Wire Part A: soup can run / publish + DeployTarget schema (v0.33.0) |
+| test_part_e.py | Live Wire Part E: --find-lr live loop + spike recovery hint + auto mixed-precision push + grad-accum advisory (v0.33.0) |
+| test_part_d.py | Live Wire Part D: structured-output LogitsProcessor + auto-quant live picker + HF push integration smoke (v0.33.0) |
+| test_part_c.py | Live Wire Part C: multi-trainer v0.28.0 features + selective ckpt hooks + CrossDocCollator (v0.33.0) |
+| test_part_b.py | Live Wire Part B: auto-reexec under accelerate launch + DeepSpeed-MII live serve (v0.33.0) |
 
 ## Making Changes
 
diff --git a/README.md b/README.md
index 040a3cc..47a75ab 100644
--- a/README.md
+++ b/README.md
@@ -964,7 +964,7 @@ training:
 
 Records peak memory each step. When pressure crosses the threshold, recommends a new `(batch, accum)` pair preserving effective batch (capped at `accum=1024`).
 
-> **v0.32.0 note:** the LR sweep currently writes a stub report demonstrating the schedule + analyzer + JSON path. The live in-process LR-sweep training loop, the live spike-recovery rollback, and live grad-accum mutation all land in v0.32.1. The schemas, validators, and APIs are stable in v0.32.0.
+> **v0.33.0:** `--find-lr` now runs an in-process LR-sweep training loop (replaces the v0.32.0 stub curve), spike-recovery writes a `spike_recovery.json` hint with the decayed LR for re-launch, and the grad-accum advisory prints a recommended `(batch, accum)` pair when VRAM pressure crosses the threshold. Live optimizer-state rewind and live DataLoader rebuild remain follow-ups (HF Trainer / TRL upstream constraints).
 
 ## Training Intelligence (Forgetting + Checkpoint Quality)
 
diff --git a/soup_cli/commands/can.py b/soup_cli/commands/can.py
index 2722d10..7aeaa2b 100644
--- a/soup_cli/commands/can.py
+++ b/soup_cli/commands/can.py
@@ -115,7 +115,7 @@ def run_cmd(
         help="Write env summary (pip freeze + GPU info) to this path",
     ),
 ) -> None:
-    """Run a can end-to-end: extract → train (→ optional deploy)."""
+    """Run a can end-to-end: extract -> train (-> optional deploy)."""
     from soup_cli.cans.run import run_can
 
     if not yes: