docs: cleanup and extra references

docs/api/evaluation.md

@@ -54,3 +54,7 @@ python scripts/evaluate_checkpoints.py \
 ```
 
 This script scans the `checkpoints/` directory of the specified run and evaluates every `.flax` file it finds using the model's training morphology.
+
+---
+
+For a step-by-step walkthrough on using these evaluation phases to reproduce our project results, see the **[Results & Reproduction Guide](./reproduction.md)**.

docs/api/tracking.md

@@ -58,3 +58,7 @@ uv run python scripts/analysis/explore_tensorboard.py runs/your_run_name/
 ```
 
 See the detailed description in [`/scripts/analysis/README.md`](../../scripts/analysis/README.md).
+
+## Developer Logging API
+
+For details on the developer API of our internal logging library (how backend routing, checkpoint synchronization, and singleton initialization works), see the **[Experiment Logger API Guide](../../src/experiment_logger/README.md)**.

docs/api/training.md

@@ -6,6 +6,8 @@ This guide covers how to configure and run training experiments for the Brittle
 
 The project uses a modular configuration system powered by [Hydra](https://hydra.cc/). Instead of passing many command-line flags, you select and override configuration groups.
 
+For a detailed guide on the structure, validation, and usage of our Hydra configuration files, see the **[Brittle Star Configuration System Guide](../../configs/README.md)**.
+
 ### Creating a Custom Experiment
 
 1. **Create a new experiment file:**