---
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`.