| # Final Submission Audit |
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| Audit date: April 26, 2026. |
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| ## Status Summary |
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| PolyGuard implements the participant-guide stack from dataset acquisition through OpenEnv environment, rewards, SFT, GRPO, inference, UI/API product, evaluation, and Hugging Face Space deployment. The public environment Space is live at `https://huggingface.co/spaces/TheJackBright/polyguard-openenv` and the runtime health endpoint returned `{"status":"healthy"}` during this audit. |
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| The only known judge-facing blocker is external storytelling: the README blog URL `https://huggingface.co/blog/TheJackBright/polyguard-openenv` currently returns 404 until `docs/hf_blog_draft.md` is published there or the README is updated with a real YouTube/slide/blog URL. |
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| ## Requirement Matrix |
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| | Requirement area | Status | Evidence | |
| | --- | --- | --- | |
| | Problem statement and theme fit | Implemented | README describes safe long-horizon polypharmacy action selection under World Modeling / Professional Tasks. | |
| | OpenEnv environment | Implemented | `openenv.yaml`, `PolyGuardEnv`, FastAPI `/reset`, `/step`, `/state`, `/metadata`, `/schema`, `/mcp`, and `/ws`; `uv run openenv validate .` passes. | |
| | Dataset acquisition and preprocessing | Implemented | `scripts/bootstrap_data.py`, `scripts/ingest_open_drug_sources.py`, `scripts/build_training_corpus.py`, `data/processed/*`, `data/scenarios/*`, and `docs/dataset_report.md`. | |
| | Easy/medium/hard curriculum | Implemented | Scenario JSON/JSONL sets plus task presets exposed through `/env/catalog`. | |
| | Rewards and anti-hacking | Implemented | 13 reward components, 4 primary channels, bounded reward scaling, timeout handling, `app/env/anti_cheat.py`, and reward/anti-cheat tests. | |
| | Training loop | Implemented | `scripts/train_sft_trl.py`, `scripts/train_grpo_trl.py`, `app/training/grpo_trl.py`, and `app/hf_space/training_runner.py`. | |
| | TRL / Unsloth stack | Implemented with fallback reality documented | TRL path is active and reports `trl_transformers`; Unsloth is wired as optional but was unavailable in current reports. | |
| | Post-training export and inference | Implemented | `scripts/merge_adapters_safe.py`, `scripts/test_inference_postsave.py`, active model manifest, and API/UI model status path. | |
| | Product/demo | Implemented | FastAPI product API, React/Vite workbench, policy lab, training monitor, replay, dosing, and safety views. | |
| | Results and plots | Implemented | Tracked `docs/results/*.json` and PNG plots, including SFT baseline sweep evidence and top-level environment-backed GRPO evidence. | |
| | HF Space deployment | Implemented | Public Space is running on CPU basic, Space metadata is available, and tracked `docs/results/hf_space_verification.json` reports OpenEnv validation passed. | |
| | Colab notebook | Implemented | README links `notebooks/09_training_loop.ipynb` through Colab. | |
| | Story artifact | Pending external publication | `docs/hf_blog_draft.md` exists, but the README blog URL returns 404 until published. | |
| | Full public per-model GRPO sweep | Not claimed | Current public/tracked evidence is a 3-model SFT-baseline sweep plus a top-level GRPO run. Private training artifact repos require auth and must be mirrored before being used as public evidence. | |
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| ## Fresh Verification |
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| - `uv run pytest`: 49 tests passed. |
| - `uv run openenv validate .`: local OpenEnv validation passed. |
| - `POLYGUARD_ENFORCE_SUBMISSION_LINKS=true uv run python scripts/acceptance_gate.py`: strict gate passed. |
| - `curl -s https://thejackbright-polyguard-openenv.hf.space/health`: returned `{"status":"healthy"}`. |
| - `curl -s https://thejackbright-polyguard-openenv.hf.space/metadata`: returned PolyGuard OpenEnv metadata with reward range `[0.001, 0.999]`. |
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| ## Submission Notes |
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| - Publish the Hugging Face blog draft or replace the story URL before final hand-in. |
| - Run `uv run python scripts/validate_submission_links.py` after publication to catch broken README URLs. |
| - Do not add private HF artifact repos as judge-facing links unless they are made public or their outputs are mirrored into the repository/Space documentation. |
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