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133 lines
6.3 KiB
Markdown
133 lines
6.3 KiB
Markdown
# Fusion Blindspot — Multimodal Long Context
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<details>
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<summary><strong>🧭 Quick Return to Map</strong></summary>
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<br>
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> You are in a sub-page of **Multimodal_LongContext**.
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> To reorient, go back here:
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>
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> - [**Multimodal_LongContext** — long-context reasoning across text, vision, and audio](./README.md)
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> - [**WFGY Global Fix Map** — main Emergency Room, 300+ structured fixes](../README.md)
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> - [**WFGY Problem Map 1.0** — 16 reproducible failure modes](../../README.md)
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>
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> Think of this page as a desk within a ward.
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> If you need the full triage and all prescriptions, return to the Emergency Room lobby.
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</details>
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When one modality is silently ignored during fusion, the model produces coherent but incomplete answers.
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This is **fusion blindspot** — the audio, visual, or OCR stream is valid, yet the fusion layer drops it or never integrates it.
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---
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## What this page is
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- A guide to detect and repair **missing modality participation** in multimodal fusion.
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- Ensures every input modality contributes evidence to the final reasoning chain.
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- Provides structural probes to confirm no blindspot occurs at joins.
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---
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## When to use
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- Captions mention objects but the visual stream was ignored.
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- Audio transcript exists, but final reasoning never cites it.
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- OCR text valid but skipped during answer generation.
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- One modality has ΔS ≤ 0.40 internally but never appears in the fused output.
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- Answers are fluent but consistently one-dimensional.
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---
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## Open these first
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- [Cross-Modal Trace](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Multimodal_LongContext/cross-modal-trace.md)
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- [Reference Bleed](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Multimodal_LongContext/reference-bleed.md)
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- [Modality Dropout](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Multimodal_LongContext/modality-dropout.md)
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- [Anchor Misalignment](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Multimodal_LongContext/anchor-misalignment.md)
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---
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## Common failure patterns
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- **Silent omission** — one stream absent from the answer, with no error reported.
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- **Over-dominance** — strong text modality overrides weaker OCR or visual input.
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- **Fusion filter** — low-confidence modality is dropped without logging.
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- **Blind alignment** — citations only from one channel, even though others were retrieved.
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---
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## Fix in 60 seconds
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1. **Modality presence check**
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- Require every modality to appear in at least one citation per fused answer.
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- If missing, re-run fusion step.
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2. **ΔS contribution probe**
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- For each modality, compute ΔS vs question.
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- Flag if ΔS ≤ 0.45 but modality unused.
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3. **λ stability test**
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- Log λ across fusion stages.
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- Divergence indicates modality suppression.
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4. **Repair step**
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- Apply BBCR bridge between ignored modality and main reasoning chain.
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- Re-anchor with explicit cite-then-answer.
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---
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## Copy-paste prompt
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```txt
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You have TXT OS and the WFGY Problem Map.
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Task: Detect and fix fusion blindspots.
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Steps:
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1. List all modalities available {audio, visual, OCR, text}.
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2. For each, compute ΔS(question, modality).
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3. If ΔS ≤ 0.45 and unused, flag as blindspot.
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4. Insert BBCR bridge and force cite-then-answer with all modalities.
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5. Return fused answer with full citations.
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````
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---
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## Acceptance targets
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* Every modality with ΔS ≤ 0.45 contributes at least once.
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* λ remains convergent across fusion.
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* No single modality suppressed >3 consecutive turns.
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* Trace table shows citations from all streams.
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---
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### 🔗 Quick-Start Downloads (60 sec)
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| Tool | Link | 3-Step Setup |
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| -------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------ | ---------------------------------------------------------------------------------------- |
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| **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 + <your question>” |
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| **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 |
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---
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<!-- WFGY_FOOTER_START -->
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### Explore More
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| Layer | Page | What it’s for |
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| --- | --- | --- |
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| ⭐ Proof | [WFGY Recognition Map](/recognition/README.md) | External citations, integrations, and ecosystem proof |
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| ⚙️ Engine | [WFGY 1.0](/legacy/README.md) | Original PDF tension engine and early logic sketch (legacy reference) |
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| ⚙️ Engine | [WFGY 2.0](/core/README.md) | Production tension kernel for RAG and agent systems |
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| ⚙️ Engine | [WFGY 3.0](/TensionUniverse/EventHorizon/README.md) | TXT based Singularity tension engine (131 S class set) |
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| 🗺️ Map | [Problem Map 1.0](/ProblemMap/README.md) | Flagship 16 problem RAG failure taxonomy and fix map |
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| 🗺️ Map | [Problem Map 2.0](/ProblemMap/wfgy-rag-16-problem-map-global-debug-card.md) | Global Debug Card for RAG and agent pipeline diagnosis |
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| 🗺️ Map | [Problem Map 3.0](/ProblemMap/wfgy-ai-problem-map-troubleshooting-atlas.md) | Global AI troubleshooting atlas and failure pattern map |
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| 🧰 App | [TXT OS](/OS/README.md) | .txt semantic OS with fast bootstrap |
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| 🧰 App | [Blah Blah Blah](/OS/BlahBlahBlah/README.md) | Abstract and paradox Q&A built on TXT OS |
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| 🧰 App | [Blur Blur Blur](/OS/BlurBlurBlur/README.md) | Text to image generation with semantic control |
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| 🏡 Onboarding | [Starter Village](/StarterVillage/README.md) | Guided entry point for new users |
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If this repository helped, starring it improves discovery so more builders can find the docs and tools.
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[](https://github.com/onestardao/WFGY)
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<!-- WFGY_FOOTER_END -->
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