Datasets:
| # Public-source UMA AI demonstration | |
| This demonstration starts from a label-free registry of 64 fixed public transactions, | |
| downloads or replays canonical Polygon and Ethereum receipts, decodes the UMA lifecycle, | |
| derives decision-time features and economic outcomes, and runs the registered logistic | |
| regression plus four simple baselines. It never reads a curated ledger. | |
| - Chronological split: 44 train / 10 validation / 10 test. | |
| - Test AUC: 0.375; Brier: 0.414; ECE-5: 0.374. | |
| - Automated Accept/Challenge coverage: 0.400. | |
| - Outcome: later UMA protocol resolution only, not independent factual truth. | |
| - Configured rewards, capital at risk, gross payout and realized challenge payoff remain distinct. | |
| Live public reproduction: | |
| ```bash | |
| python scripts/applications/trustworthy_ai/run_public_source_demo.py | |
| ``` | |
| Deterministic replay after freezing the public receipts: | |
| ```bash | |
| python scripts/applications/trustworthy_ai/run_public_source_demo.py --offline | |
| ``` | |