Click nodes to highlight dependency paths. Demo graph is static.
Lineage trace (example)
Research artifact → implementation → packaged model → operational use case narrative for executive review.
Node 1
Transformer Load Forecasting Paper
Node 2
GridForecastNet Repository
Node 3
GridForecastNet Model
Node 4
Smart Grid Demand Forecasting
Relationship types supported in the index: implements, extends, fine_tuned_from, dataset_for, evaluation_of.
Relationship registry
| Source item | Target item | Relationship | Confidence | Evidence |
|---|---|---|---|---|
| Transformer Load Forecasting Paper (arXiv) | GridForecastNet Repository | implements | 93% | Repository cites arXiv identifier in README and release notes. |
| GridForecastNet Repository | GridForecastNet Model | extends | 96% | Model card references repository commit hash and training configuration. |
| GridForecastNet Model | Smart Grid Demand Forecasting | evaluation of | 88% | Internal evaluation harness maps model outputs to Mobiloitte-style demand curves (demo). |
| Utility Time-Series Corpus | LoadSense AI | dataset for | 90% | Dataset manifest linked from Hugging Face dataset card. |
| LoadSense AI | Transmission Congestion Analytics | fine-tuned from | 85% | Fine-tune configuration references base checkpoint and sector adapters. |