docs/assets/foundation-pipelines/README.md

Foundation Pipeline Slide Diagrams

These three public images are high-resolution foundation-direction slide diagrams. They are used for the pipeline tracks documented in THREE_FOUNDATION_PIPELINES.md and docs/data/three_foundation_pipelines.json.

They replace the earlier concept-art images and keep the public visuals tied to the original direction slides. Spatial intelligence and human-video world modeling use the clean slide PNGs supplied for publication and are exported as 2560-pixel public assets. VLA now uses the clean VLA slide PNG supplied afterward and is exported through the same 2560-pixel public path. They are still pipeline communication assets, not evidence of completed foundation-model quality. Exact technical claims live in the surrounding Markdown, JSON, and website labels.

Track	Enhanced asset	Source
Spatial intelligence models	spatial-intelligence-pipeline.png	source-slides/spatial-intelligence-slide.png
Human-video world models	human-video-world-model-pipeline.png	source-slides/human-video-world-model-slide.png
Vision-language-action models	vision-language-action-pipeline.png	source-slides/vision-language-action-slide.png

The website places each figure beside a one-sample training I/O recipe:

Track	One-sample training pair
Spatial intelligence models	Current 20-frame multiview/depth/pose/object window -> spatial relation, retrieval, reconstruction-proxy, or QA target.
Human-video world models	Current observed 20-frame window at time t -> shifted future action, subtask, object-set, contact, transition-time, or future-feature target.
Vision-language-action models	Egocentric video + caption/object/motion/contact context -> action-token, object-action, contact, interaction-text, subtask, or hand-trajectory proxy target.

The deterministic restoration script is scripts/render_foundation_pipeline_diagrams.py; restoration notes and source mapping are in prompts.md.