Update handoff with model studio state

docs/handoff_current_state_20260817.md

@@ -164,3 +164,65 @@ Recommended next steps only if the user asks to continue:
 3. Do not regenerate ideas unless explicitly instructed.
 4. Do not rerun broad research unless explicitly requested or needed for a new judge repair.
 5. Keep all token/mainnet/fundraising/user-contact/no-spend stop conditions active.
+
+## Model Studio V0.1 Update
+
+Commit `d61751a Add Guard model studio foundation` added the initial Model Studio domain.
+
+Key files:
+
+- `control_plane/model_studio/models.py`
+  - Canonical Django state for training projects, immutable dataset versions and recipes, checkpoints, experiments, runs, evaluation suites/runs/results, regression-bank items, failure clusters, promotion policies/decisions, overnight programs, reports, and artifacts.
+- `control_plane/model_studio/services.py`
+  - Guard import/archaeology, dataset curation, benchmark gate, experiment contract and fingerprinting, simulated run/promotion logic, deadline reserve checks, and morning report.
+- `control_plane/model_studio/profiles.py`
+  - `GuardModelProfile`, based on the discovered ForgeGuard layout.
+- `control_plane/model_studio/backends.py`
+  - `FakeTrainingBackend` for tests and `SparkGuardBackend` for profile-generated remote commands only.
+- Commands:
+  - `python manage.py modelstudio_import_guard --repository <local ForgeGuard path> --slug guard-3b`
+  - `python manage.py modelstudio_dataset_audit --project guard-3b`
+  - `python manage.py modelstudio_overnight --project guard-3b --dry-run`
+- Minimal UI:
+  - `/model-studio/`
+
+Guard was imported locally for archaeology from:
+
+- `S:\PycharmProjects\Me3\tools\ForgeGuard`
+
+Current Guard project state in Artifex DB:
+
+- Training project slug: `guard-3b`
+- Current base-model Champion candidate: `Qwen/Qwen2.5-Coder-3B-Instruct`
+- Selection: explicitly human-mandated starting Champion
+- Evidence status: `PENDING_FRESH_SPARK_BASELINE`
+- Training project status: `NEEDS_REPAIR`
+- Benchmark integrity: `WARNING`, not valid
+- Spark checkout is not registered or verified
+- Fresh baseline is missing
+
+No local Guard training/evaluation was run. The local machine is unsuitable and the user explicitly required Spark-only execution.
+
+Spark connectivity is confirmed (`ssh spark hostname` returned `Inceptal`), but read-only inspection found no `ForgeGuard` directory under `/workspace`, `/home`, or `/opt`. Do not run training until a Spark ForgeGuard checkout path is provided or explicitly synced, then register it with `--spark-working-directory` and verify it.
+
+Dataset curation result:
+
+- `79` imported JSON artifacts
+- `49` blocked
+- `30` warning-only
+- `0` approved training datasets
+- Decision: `NO_TRAINING_DATASET_APPROVED`
+
+Important curation facts:
+
+- Summary JSON files are non-training artifacts.
+- Candidate/provisional corpora are blocked.
+- `full_source_c4_guard_candidate_v12` is explicitly candidate-only and has not been trained.
+- The Qwen 3B verified pilot has 88 records and a claimed EVMBench exclusion, but stays `WARNING` pending record-level provenance/schema/coverage and contamination verification.
+- No Spark baseline/canary/overnight program is permitted yet.
+
+Latest verification after Model Studio work:
+
+- `python manage.py check`: passed
+- `python -m pytest -p no:django -q tests/test_model_studio_v01.py`: `6 passed`
+- Full suite: `163 passed, 1 skipped`