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146 lines
6.8 KiB
Markdown
146 lines
6.8 KiB
Markdown
# Time-Sync 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 audio, video, and text streams drift out of sync, reasoning collapses even if each modality looks fine in isolation.
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This page defines guardrails to detect and repair temporal misalignment across long multimodal contexts.
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---
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## What this page is
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- A structured fix for *time drift* in multimodal RAG and inference.
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- Defines probes to measure sync quality across audio, visual, OCR, and metadata.
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- Provides restart-stable alignment methods.
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---
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## When to use
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- Subtitles and video captions slip by a few seconds in long windows.
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- OCR text aligns to the wrong frame batch.
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- Audio queries answer correctly but cite misaligned video anchors.
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- Two reruns with the same seed produce different offsets.
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- Long reasoning chains flip context after 40–60 minutes of runtime.
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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 Bootstrap](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Multimodal_LongContext/cross-modal-bootstrap.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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- [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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- **Subtitle lag**: transcript trails 1–2s behind video.
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- **Frame lead**: OCR text fires before the visual frame is in place.
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- **Audio-video skew**: alignment starts fine, then drifts over long runs.
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- **Restart variance**: replays of the same clip yield different anchor offsets.
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- **Accumulated drift**: each batch adds ~50–100ms error until collapse.
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---
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## Fix in 60 seconds
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1. **Normalize time anchors**
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- Require all modalities to declare timestamps in milliseconds.
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- Convert relative offsets into absolute epoch.
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2. **Anchor hash & lock**
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- For each frame window, compute `{audio_hash, ocr_hash, frame_hash}`.
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- Validate alignment with ΔS ≤ 0.45 between modalities.
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3. **Drift probe**
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- Every 30s, measure `Δt = |video_ts – audio_ts|`.
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- Reject if Δt > 500ms.
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4. **Realign**
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- On drift, re-anchor with nearest transcript chunk.
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- Use BBCR bridge if reasoning collapses.
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- Apply BBAM to clamp variance.
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5. **Restart stability**
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- Require offsets identical within ±100ms across 3 seeds.
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- Log ΔS curve to verify stable recovery.
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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 multimodal time sync.
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Protocol:
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1. Collect all modalities with explicit timestamps.
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2. Convert all offsets to absolute ms.
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3. Compute Δt between audio, video, OCR anchors. If Δt > 500ms, flag drift.
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4. Re-anchor captions to nearest visual frame.
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- If collapse persists, apply BBCR and BBAM.
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5. Return:
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- Sync status
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- Anchor hashes
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- ΔS and λ states
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- Corrected offsets
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````
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---
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## Acceptance targets
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* Δt ≤ 500ms across audio, video, OCR at all times.
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* ΔS(question, retrieved) ≤ 0.45 for aligned anchors.
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* λ remains convergent across 3 paraphrases.
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* Restart stability: offsets identical within ±100ms across 3 seeds.
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* No cumulative drift beyond 1s after 1h runtime.
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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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