Midv-699: ((top))

Title: The Anatomy of Intimacy and Visual Storytelling: A Critical Analysis of MIDV-699

1. Chunking – Incoming embeddings are buffered in mini‑chunks of size (C) (default = 256).
2. Local Optimization – For each chunk we run a few UMAP gradient steps using the current graph structure as initialization.
3. Graph Update – New points are linked to their nearest neighbours among previously visualized points (approximate k‑NN via HNSW).
4. Stability Constraint – A regularizer penalizes large shifts of already‑placed points, preserving mental map continuity.

Our work bridges these gaps by combining contrastive learning for multimodal alignment with a streaming visualizer in a single, extensible package. MIDV-699