> ## Documentation Index
> Fetch the complete documentation index at: https://docs.reilabs.org/llms.txt
> Use this file to discover all available pages before exploring further.

# Further reading

> Explore Adapt-1 technical write-ups, evaluation reports, and earlier background material.

These technical write-ups and evaluation reports explain Core's learned state and follow Adapt-1 through prediction, decision-making, and continuous control. Read the current series in the order below, or choose the topic relevant to your integration.

## Adaptive state and Preview

* [Adaptive State from Partially Observed Streams](https://reilabs.org/blog/adaptive-state-from-partially-observed-streams) explains adaptive state, hybrid representation, and retrieval through Relational Hopfield Memory.
* [Introducing Adapt-1 Preview: A Pretraining-Free Substrate for Test-Time Learning](https://reilabs.org/blog/introducing-adapt-1-preview) introduces the learning system, Domain contracts, retained evidence, and controlled evaluations of learning during operation.

## Learning behavior

* [The Dynamics of, Sequential, Transitional and Contextual Online Learning](https://reilabs.org/blog/ADAPT1-BEHAVIORAL-BLOG) follows acquisition and reuse across different learning procedures, including interactive work performed with acquired state frozen.
* [Unlocking Plasticity Rules](https://reilabs.org/blog/unlocking-plasticity-rules) examines temporal context and learned source utility, with controlled evaluations of what each contributes.

## Discovery and continuous control

* [Emergence: Toward Autonomous Structure Discovery in Adapt-1](https://reilabs.org/blog/emergence-toward-autonomous-structure-discovery) describes how Adapt-1 forms learner-facing structure from admitted observations and outcomes.
* [Adapt-1 Machina: Learning Continuous Control Sequences](https://reilabs.org/blog/adapt-1-machina) follows sequence acquisition from execution outcomes, structural revision, and contextual refinement, with frozen evaluation on unseen conditions.

## Earlier background

The [Rei Labs blog archive](https://reilabs.org/blog) contains the earlier research direction, product introductions, and implementation background.

## Connect the background to an integration

| You want to understand                                       | Continue in the docs                                             |
| ------------------------------------------------------------ | ---------------------------------------------------------------- |
| How learned state changes and produces a result              | [Mechanisms](/docs/neuroadapt/architecture)                      |
| How to choose acquisition, frozen use, or continued learning | [Learning schedules](/docs/neuroadapt/choose-a-learning-setup)   |
| What a recorded response reveals about its supporting state  | [Explain a result](/docs/neuroadapt/explain-and-audit-responses) |
| How to assess a learned correction against acquired behavior | [Refine by context](/docs/machina/refinement)                    |