Spatial Fusion Error — Multimodal Long Context

🧭 Quick Return to Map

You are in a sub-page of Multimodal_LongContext.
To reorient, go back here:

Multimodal_LongContext — long-context reasoning across text, vision, and audio

WFGY Global Fix Map — main Emergency Room, 300+ structured fixes

WFGY Problem Map 1.0 — 16 reproducible failure modes

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.

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

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

Spatial schema lock
- Represent anchors as {id, coords(x,y,z), frame_id}.
- Reject answers missing explicit spatial schema.
ΔS probe across modalities
- Compute ΔS(text_anchor, visual_anchor).
- If ΔS ≥ 0.60, suspect fusion error.
Spatial IoU check
- Enforce IoU ≥ 0.7 for same anchor across modalities.
- If < 0.7, assign new anchor ID.
Stabilize with BBCR
- Bridge text ↔ visual mismatch with constraint re-anchoring.
- Clamp variance with BBAM.
Trace audit
- Log {anchor_id, modality, coords, IoU}.
- Require cite-then-answer with explicit anchor IDs.

Copy-paste prompt

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	1️⃣ Download · 2️⃣ Upload to your LLM · 3️⃣ Ask “Answer using WFGY + ”
TXT OS (plain-text OS)	TXTOS.txt	1️⃣ Download · 2️⃣ Paste into any LLM chat · 3️⃣ Type “hello world” — OS boots instantly

🧭 Explore More

Module	Description	Link
WFGY Core	WFGY 2.0 engine is live: full symbolic reasoning architecture and math stack	View →
Problem Map 1.0	Initial 16-mode diagnostic and symbolic fix framework	View →
Problem Map 2.0	RAG-focused failure tree, modular fixes, and pipelines	View →
Semantic Clinic Index	Expanded failure catalog: prompt injection, memory bugs, logic drift	View →
Semantic Blueprint	Layer-based symbolic reasoning & semantic modulations	View →
Benchmark vs GPT-5	Stress test GPT-5 with full WFGY reasoning suite	View →
🧙‍♂️ Starter Village 🏡	New here? Lost in symbols? Click here and let the wizard guide you through	Start →

👑 Early Stargazers: See the Hall of Fame — Engineers, hackers, and open source builders who supported WFGY from day one.

⭐ WFGY Engine 2.0 is already unlocked. ⭐ Star the repo to help others discover it and unlock more on the Unlock Board.

8.4 KiB Raw Blame History Unescape Escape