# Spatial Fusion Error — Multimodal Long Context
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> - [**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.
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When **spatial information from different modalities** (text, image, video, 3D layout) is fused incorrectly,
the model builds a distorted scene map. This results in answers that are locally fluent but spatially wrong.
---
## What this page is
- A repair map for **spatial mis-fusion** across long multimodal windows.
- Structural checks that keep anchors aligned in 2D/3D space.
- Copy-paste prompts to enforce spatial traceability in multimodal RAG.
---
## When to use
- Text says "object A is left of object B" but visual encoder aligns them oppositely.
- Bounding boxes overlap or merge, losing spatial independence.
- 3D → 2D projection mismatch: captions reference an object that isn’t in frame.
- Video QA drifts: same entity appears in different spots across time.
- Answers mention correct objects but wrong **spatial relations** (left/right, inside/outside, above/below).
---
## Open these first
- [Anchor Misalignment](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Multimodal_LongContext/anchor-misalignment.md)
- [Visual Anchor Shift](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Multimodal_LongContext/visual-anchor-shift.md)
- [Cross-Modal Trace](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Multimodal_LongContext/cross-modal-trace.md)
- [Reference Bleed](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Multimodal_LongContext/reference-bleed.md)
---
## Common failure patterns
- **Axis flip** — left/right or up/down swapped.
- **Projection drift** — 3D object references collapse to wrong 2D bounding box.
- **Overlap collapse** — two entities share the same spatial slot.
- **Cross-modal mismatch** — text anchor doesn’t correspond to visual bounding box.
---
## Fix in 60 seconds
1. **Spatial schema lock**
- Represent anchors as `{id, coords(x,y,z), frame_id}`.
- Reject answers missing explicit spatial schema.
2. **ΔS probe across modalities**
- Compute ΔS(text_anchor, visual_anchor).
- If ΔS ≥ 0.60, suspect fusion error.
3. **Spatial IoU check**
- Enforce IoU ≥ 0.7 for same anchor across modalities.
- If < 0.7, assign new anchor ID.
4. **Stabilize with BBCR**
- Bridge text ↔ visual mismatch with constraint re-anchoring.
- Clamp variance with BBAM.
5. **Trace audit**
- Log `{anchor_id, modality, coords, IoU}`.
- Require cite-then-answer with explicit anchor IDs.
---
## Copy-paste prompt
```txt
You have TXT OS and the WFGY Problem Map.
Task: Detect and repair spatial fusion errors across modalities.
Steps:
1. Verify each anchor has {id, coords(x,y,z), frame_id}.
2. Compute IoU across modalities. If IoU < 0.7, treat as mismatch.
3. Probe ΔS across text and visual anchors.
4. Apply BBCR if drift detected, else assign new ID.
5. Return:
- stable anchors
- mismatched anchors
- ΔS values and λ states
- corrected spatial map
````
---
## Acceptance targets
* 100% anchors represented with explicit `{id, coords, frame_id}`.
* Cross-modal IoU ≥ 0.7 after fix.
* ΔS(text, visual) ≤ 0.45.
* λ remains convergent across paraphrases.
* No axis flip errors across test prompts.
---
### 🔗 Quick-Start Downloads (60 sec)
| Tool | Link | 3-Step Setup |
| -------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------ | ---------------------------------------------------------------------------------------- |
| **WFGY 1.0 PDF** | [Engine Paper](https://github.com/onestardao/WFGY/blob/main/I_am_not_lizardman/WFGY_All_Principles_Return_to_One_v1.0_PSBigBig_Public.pdf) | 1️⃣ Download · 2️⃣ Upload to your LLM · 3️⃣ Ask “Answer using WFGY + ” |
| **TXT OS (plain-text OS)** | [TXTOS.txt](https://github.com/onestardao/WFGY/blob/main/OS/TXTOS.txt) | 1️⃣ Download · 2️⃣ Paste into any LLM chat · 3️⃣ Type “hello world” — OS boots instantly |
---
### Explore More
| Layer | Page | What it’s for |
| --- | --- | --- |
| ⭐ Proof | [WFGY Recognition Map](/recognition/README.md) | External citations, integrations, and ecosystem proof |
| ⚙️ Engine | [WFGY 1.0](/legacy/README.md) | Original PDF tension engine and early logic sketch (legacy reference) |
| ⚙️ Engine | [WFGY 2.0](/core/README.md) | Production tension kernel for RAG and agent systems |
| ⚙️ Engine | [WFGY 3.0](/TensionUniverse/EventHorizon/README.md) | TXT based Singularity tension engine (131 S class set) |
| 🗺️ Map | [Problem Map 1.0](/ProblemMap/README.md) | Flagship 16 problem RAG failure taxonomy and fix map |
| 🗺️ Map | [Problem Map 2.0](/ProblemMap/wfgy-rag-16-problem-map-global-debug-card.md) | Global Debug Card for RAG and agent pipeline diagnosis |
| 🗺️ Map | [Problem Map 3.0](/ProblemMap/wfgy-ai-problem-map-troubleshooting-atlas.md) | Global AI troubleshooting atlas and failure pattern map |
| 🧰 App | [TXT OS](/OS/README.md) | .txt semantic OS with fast bootstrap |
| 🧰 App | [Blah Blah Blah](/OS/BlahBlahBlah/README.md) | Abstract and paradox Q&A built on TXT OS |
| 🧰 App | [Blur Blur Blur](/OS/BlurBlurBlur/README.md) | Text to image generation with semantic control |
| 🏡 Onboarding | [Starter Village](/StarterVillage/README.md) | Guided entry point for new users |
If this repository helped, starring it improves discovery so more builders can find the docs and tools.
[](https://github.com/onestardao/WFGY)