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# Cross-Modal Bootstrap — Multimodal Long Context
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When different modalities (video frames, audio tracks, OCR text) start at different offsets or initialize in the wrong order, the entire context alignment collapses.
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This page gives guardrails to synchronize bootstrap order across multimodal inputs.
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---
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## What this page is
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- A structured fix for *bootstrap drift* in multimodal pipelines.
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- Ensures consistent ordering across text, audio, vision, and metadata.
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- Provides schema, probes, and acceptance targets.
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---
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## When to use
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- Video+transcript alignment shifts by seconds or frames.
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- Audio embeddings load before OCR, producing mismatched anchors.
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- Long multimodal RAG where captions precede visual frames.
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- Retrieval stable but reasoning differs on every run.
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- Same seed produces different sequence of anchors per restart.
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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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- [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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- [Bootstrap Ordering](https://github.com/onestardao/WFGY/blob/main/ProblemMap/bootstrap-ordering.md)
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- [Memory Desync Pattern](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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- **Audio-first skew**: transcript arrives late, leading to empty citations.
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- **OCR-first misalign**: visual anchors point to wrong timecodes.
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- **Frame drop drift**: bootstrap ignores missing frames, citations desync.
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- **Restart reordering**: same pipeline gives different sequence after restart.
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- **Phantom entry**: ghost frame or caption injected at init.
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---
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## Fix in 60 seconds
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1. **Explicit ordering contract**
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- Define `BOOT_ORDER = [video, audio, ocr, metadata]`.
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- Require every run to declare bootstrap order.
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2. **Hash & validate**
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- Compute `{frame_hash, audio_hash, ocr_hash}` at init.
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- Verify consistency before retrieval.
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3. **Fence startup**
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- Use a barrier: all modalities must declare `READY=true`.
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- If any false, delay & retry (capped backoff).
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4. **Trace alignment**
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- Log first 10 anchors from each modality.
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- Require ΔS across anchors ≤ 0.45.
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- Reject runs with missing citations.
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5. **Collapse recovery**
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- If bootstrap order lost, reassemble with BBCR bridge.
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- Clamp attention variance with BBAM.
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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: Enforce cross-modal bootstrap.
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Protocol:
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1. Require all modalities declare BOOT_ORDER = [video, audio, ocr, metadata].
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2. Collect {frame_hash, audio_hash, ocr_hash}. If mismatch, abort run.
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3. Log ΔS across first 10 anchors. If ΔS > 0.45, flag drift.
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4. If bootstrap collapse detected:
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- Apply BBCR bridge to rejoin anchors.
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- Clamp variance with BBAM.
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5. Return:
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- BOOT_ORDER
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- anchor hashes
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- ΔS and λ states
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- Fix applied (if any)
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````
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---
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## Acceptance targets
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* ΔS across modalities ≤ 0.45 at bootstrap.
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* λ remains convergent across 3 paraphrases.
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* No phantom anchors at init.
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* Bootstrap order identical across 3+ seeds and restarts.
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* All modalities declare READY before retrieval.
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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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