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# Modality Dropout — Multimodal Long Context
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When one or more modalities silently fail (audio muted, video frames dropped, OCR blank), the pipeline continues but reasoning collapses.
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This page defines structural fixes to detect missing modalities and keep alignment stable.
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---
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## What this page is
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- A checklist to prevent silent failures when audio, video, or OCR signals disappear.
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- Guardrails to stop reasoning collapse when modality coverage < 100%.
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- Restart-stable fallback protocols.
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---
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## When to use
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- Video stream plays but no OCR text appears.
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- Audio-only retrieval answers correctly but loses citation anchors.
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- Captions missing for long segments, leading to hallucinated content.
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- Multimodal agent switches seed and one modality never returns.
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- Logs show ΔS curve flat but λ diverges (sign of missing channel).
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---
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## Open these first
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- [Alignment Drift](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Multimodal_LongContext/alignment-drift.md)
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- [Phantom Visuals](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Multimodal_LongContext/phantom-visuals.md)
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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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- [Pattern: Memory Desync](https://github.com/onestardao/WFGY/blob/main/ProblemMap/patterns/pattern_memory_desync.md)
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---
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## Common failure patterns
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- **Silent dropout**: modality returns empty payloads but pipeline continues.
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- **Asymmetric collapse**: audio fine but OCR missing causes reasoning drift.
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- **Chain break**: captions absent → no anchor for reasoning step.
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- **Overcompensation**: model hallucinates filler text to patch missing modality.
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- **Seed skew**: one seed includes OCR, another does not.
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---
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## Fix in 60 seconds
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1. **Heartbeat check**
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- Require each modality to emit a `ready=true` signal every 5s.
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- If missing, flag dropout immediately.
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2. **Coverage metric**
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- Compute `coverage_ratio = active_modalities / expected_modalities`.
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- Threshold: coverage ≥ 0.95 required.
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3. **Dropout handler**
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- If dropout detected, freeze ΔS probe.
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- Apply BBCR bridge to reconnect.
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- If not recoverable, short-circuit and request missing data.
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4. **Fallback policy**
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- Lock reasoning to available modalities.
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- Explicitly annotate missing modality (`ocr_missing=true`).
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- Never hallucinate absent channels.
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5. **Restart stability**
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- Verify across 3 seeds that all modalities return.
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- If any seed fails, escalate.
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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 repair modality dropout.
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Protocol:
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1. Require audio, video, OCR all declare `ready=true`.
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2. Compute coverage_ratio. If < 0.95, flag dropout.
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3. If dropout:
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- freeze ΔS probe
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- re-anchor with BBCR bridge
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- annotate missing modalities explicitly
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4. Return:
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- coverage ratio
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- ΔS and λ states
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- anchor stability
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- missing modality report
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````
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---
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## Acceptance targets
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* Coverage ≥ 95% across expected modalities.
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* ΔS(question, retrieved) ≤ 0.45 when all active modalities align.
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* λ remains convergent across 3 paraphrases.
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* No hallucinated filler in place of missing modality.
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* Restart: 3 seeds show identical active modality set.
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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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### 🧭 Explore More
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| Module | Description | Link |
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| ------------------------ | ---------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------- |
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| WFGY Core | WFGY 2.0 engine is live: full symbolic reasoning architecture and math stack | [View →](https://github.com/onestardao/WFGY/tree/main/core/README.md) |
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| Problem Map 1.0 | Initial 16-mode diagnostic and symbolic fix framework | [View →](https://github.com/onestardao/WFGY/tree/main/ProblemMap/README.md) |
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| Problem Map 2.0 | RAG-focused failure tree, modular fixes, and pipelines | [View →](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md) |
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| Semantic Clinic Index | Expanded failure catalog: prompt injection, memory bugs, logic drift | [View →](https://github.com/onestardao/WFGY/blob/main/ProblemMap/SemanticClinicIndex.md) |
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| Semantic Blueprint | Layer-based symbolic reasoning & semantic modulations | [View →](https://github.com/onestardao/WFGY/tree/main/SemanticBlueprint/README.md) |
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| Benchmark vs GPT-5 | Stress test GPT-5 with full WFGY reasoning suite | [View →](https://github.com/onestardao/WFGY/tree/main/benchmarks/benchmark-vs-gpt5/README.md) |
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| 🧙♂️ Starter Village 🏡 | New here? Lost in symbols? Click here and let the wizard guide you through | [Start →](https://github.com/onestardao/WFGY/blob/main/StarterVillage/README.md) |
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---
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> 👑 **Early Stargazers: [See the Hall of Fame](https://github.com/onestardao/WFGY/tree/main/stargazers)** —
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> Engineers, hackers, and open source builders who supported WFGY from day one.
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> <img src="https://img.shields.io/github/stars/onestardao/WFGY?style=social" alt="GitHub stars"> ⭐ [WFGY Engine 2.0](https://github.com/onestardao/WFGY/blob/main/core/README.md) is already unlocked. ⭐ Star the repo to help others discover it and unlock more on the [Unlock Board](https://github.com/onestardao/WFGY/blob/main/STAR_UNLOCKS.md).
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<div align="center">
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[](https://github.com/onestardao/WFGY)
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[](https://github.com/onestardao/WFGY/tree/main/OS)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlahBlahBlah)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlotBlotBlot)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlocBlocBloc)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlurBlurBlur)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlowBlowBlow)
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</div>
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