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# Fusion Latency — Multimodal Long Context
<details>
<summary><strong>🧭 Quick Return to Map</strong></summary>
<br>
> You are in a sub-page of **Multimodal_LongContext**.
> To reorient, go back here:
>
> - [**Multimodal_LongContext** — long-context reasoning across text, vision, and audio](./README.md)
> - [**WFGY Global Fix Map** — main Emergency Room, 300+ structured fixes](../README.md)
> - [**WFGY Problem Map 1.0** — 16 reproducible failure modes](../../README.md)
>
> Think of this page as a desk within a ward.
> If you need the full triage and all prescriptions, return to the Emergency Room lobby.
</details>
Multimodal models often **fuse audio, visual, and text streams** over long windows.
If one modality lags behind during fusion (e.g., audio behind video, caption behind OCR),
reasoning alignment collapses. This is **fusion latency** — the pipeline produces valid snippets