SweetGold v1.1.0

SweetGold v1.1.0

SweetGold v1.1.0 turns the initial research platform into a reproducible
strategy-comparison and model-distribution workflow.

Highlights

• Downloadable, integrity-checked promoted checkpoints with model cards.
• Bilingual model registry cards and one-click local installation.
• Matched-seed multi-strategy leagues with transparent rankings.
• Durable JSON evaluation artifacts for browsers, scripts, CI and AI agents.
• M14 hierarchical return control, the first policy to pass the full
  cross-distribution robustness gate.

M14 result

The selected high-level supervisor uses safety margin 6 and recharge fraction
0.8 above the accepted coordinated CTDE actor. On 50 untouched final seeds in
each of six scenarios it achieved 100% bee survival and 0% invalid actions
everywhere. Median honey reached 148.47% of Assignment and the worst ratio was
101.16% under scarce nectar.

Model catalog

The accompanying
models-v2
release contains all promoted checkpoint names, Apache-2.0 terms and a
machine-readable manifest. M14 intentionally shares neural weights with M8;
its new behavior comes from versioned supervisor code and registered
parameters.

Upgrade and verification

python main.py --version
python main.py models download
python main.py models verify
python -m unittest discover -s tests -v

No existing model ID or command is removed. Evaluation artifact APIs and the
arena-league command are additive.