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141 lines
6.6 KiB
Markdown
141 lines
6.6 KiB
Markdown
# Modal Bridge Failure — 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 fails to **bridge information** into another (e.g., video → text, text → image),
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the reasoning chain drops critical context. This creates **gaps in multimodal fusion**, even though each stream works fine on its own.
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---
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## What this page is
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- A guardrail guide for **cross-modal bridging** in long-context tasks.
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- Shows how to detect when one modality does not properly transfer knowledge to another.
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- Gives copy-paste protocols to restore cross-modal coherence.
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---
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## When to use
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- Video QA correctly describes frames, but **fails to align with the question text**.
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- OCR extracts text, but model ignores it in reasoning chain.
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- Audio transcript is present, but response relies only on visuals.
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- Captions drift: generated text omits entities visible in the image.
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- Retrieval returns mixed snippets but **fusion step drops entire modality**.
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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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- [Multi-Seed Consistency](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Multimodal_LongContext/multi-seed-consistency.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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- [Reference Bleed](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Multimodal_LongContext/reference-bleed.md)
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---
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## Common failure patterns
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- **Silent modality dropout** — one stream (audio/text/image) is fetched but never used.
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- **Bridge gap** — retrieval succeeds, but cross-modal reasoning ignores it.
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- **One-way lock** — text → image works, but image → text fails.
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- **Bridge overwrite** — later modality overwrites earlier one instead of merging.
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---
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## Fix in 60 seconds
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1. **Schema lock**
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- Require each response to include all active modalities.
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- Enforce `{modalities_used: [text, image, audio, …]}` at output.
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2. **ΔS cross-check**
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- Compute ΔS(question, retrieved_text), ΔS(question, retrieved_image), etc.
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- If one modality ΔS ≤ 0.45 but others ≥ 0.60, suspect bridge failure.
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3. **Bridge audit log**
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- Record `{modality, snippet_id, ΔS, λ_state}`.
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- Flag if any modality is missing or unused.
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4. **Stabilize with BBCR**
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- Insert bridge node between modalities.
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- Use BBAM to clamp variance during fusion.
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5. **Force cross-modal cite**
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- Require at least one snippet reference from each modality.
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- Stop output if a modality has zero citations.
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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: Repair modal bridge failure.
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Steps:
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1. List all modalities present: [text, image, audio, video].
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2. Compute ΔS(question, retrieved_modality) for each.
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3. If any ΔS ≤ 0.45 and others ≥ 0.60, suspect bridge failure.
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4. Apply BBCR to align, BBAM to clamp variance.
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5. Output must include:
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- citations per modality
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- ΔS values
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- λ states
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- final fused reasoning
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````
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---
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## Acceptance targets
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* All modalities explicitly cited in output.
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* ΔS ≤ 0.45 for every active modality.
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* λ remains convergent across at least 3 paraphrases.
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* No modality silently dropped or overwritten.
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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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