| --- |
| license: apache-2.0 |
| library_name: arboris |
| tags: |
| - world-models |
| - graph-neural-network |
| - dendritic |
| - representation-learning |
| - model-family |
| - experimental |
| --- |
| |
| # Arboris (family) |
|
|
| **This repository is the family hub for Arboris.** It carries the model card and |
| license. Trained variants, once they exist, will each live in their own repository |
| under the [CoastalDigitalResearch](https://huggingface.co/CoastalDigitalResearch) |
| organization so that `from_pretrained(...)` resolves a single model per repo. |
|
|
| > **Status:** architecture preview, pre-alpha. Arboris is in active development. |
| > No trained weights are published, and no variant repositories are reserved yet. |
| > Source code lives on GitHub, not here — see *Source* below. |
|
|
| ## What Arboris is |
|
|
| Arboris is a graph-based, dendritic model exploring an alternative approach to |
| world models. Where a conventional world model compresses state into a single |
| latent that rolls forward in time, Arboris represents state as a graph and grows |
| its predictive structure dendritically, along the relations that carry signal. |
| It is an early research direction, and the design is expected to change. |
|
|
| ## Intended use |
|
|
| Research into graph-native world models and dendritic representation learning. |
| This is an experimental architecture preview, not a production model. |
|
|
| ## Source |
|
|
| The training/eval/research code is **not** distributed through this model |
| repository. It is published as source on GitHub: |
| <https://github.com/AdamPippert/Arboris>. |
|
|
| ## Partnership |
|
|
| Arboris is developed by independent researcher Adam Pippert. Coastal Digital |
| Research trains and publishes the models. |
|
|
| ## License |
|
|
| Released under the Apache License 2.0. See `LICENSE` and `NOTICE`. |
|
|
