WFGY/ProblemMap/GlobalFixMap/Multimodal_LongContext/time-sync-failure.md

# Time-Sync Failure — Multimodal Long Context

When audio, video, and text streams drift out of sync, reasoning collapses even if each modality looks fine in isolation.  
This page defines guardrails to detect and repair temporal misalignment across long multimodal contexts.

---

## What this page is
- A structured fix for *time drift* in multimodal RAG and inference.  
- Defines probes to measure sync quality across audio, visual, OCR, and metadata.  
- Provides restart-stable alignment methods.

---

## When to use
- Subtitles and video captions slip by a few seconds in long windows.  
- OCR text aligns to the wrong frame batch.  
- Audio queries answer correctly but cite misaligned video anchors.  
- Two reruns with the same seed produce different offsets.  
- Long reasoning chains flip context after 40–60 minutes of runtime.

---

## Open these first
- [Alignment Drift](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Multimodal_LongContext/alignment-drift.md)  
- [Cross-Modal Bootstrap](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Multimodal_LongContext/cross-modal-bootstrap.md)  
- [Cross-Modal Trace](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Multimodal_LongContext/cross-modal-trace.md)  
- [Multi-Seed Consistency](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Multimodal_LongContext/multi-seed-consistency.md)  
- [Memory Desync Pattern](https://github.com/onestardao/WFGY/blob/main/ProblemMap/patterns/pattern_memory_desync.md)  

---

## Common failure patterns
- **Subtitle lag**: transcript trails 1–2s behind video.  
- **Frame lead**: OCR text fires before the visual frame is in place.  
- **Audio-video skew**: alignment starts fine, then drifts over long runs.  
- **Restart variance**: replays of the same clip yield different anchor offsets.  
- **Accumulated drift**: each batch adds ~50–100ms error until collapse.

---

## Fix in 60 seconds
1. **Normalize time anchors**  
   - Require all modalities to declare timestamps in milliseconds.  
   - Convert relative offsets into absolute epoch.

2. **Anchor hash & lock**  
   - For each frame window, compute `{audio_hash, ocr_hash, frame_hash}`.  
   - Validate alignment with ΔS ≤ 0.45 between modalities.

3. **Drift probe**  
   - Every 30s, measure `Δt = |video_ts – audio_ts|`.  
   - Reject if Δt > 500ms.

4. **Realign**  
   - On drift, re-anchor with nearest transcript chunk.  
   - Use BBCR bridge if reasoning collapses.  
   - Apply BBAM to clamp variance.

5. **Restart stability**  
   - Require offsets identical within ±100ms across 3 seeds.  
   - Log ΔS curve to verify stable recovery.

---

## Copy-paste prompt

```txt
You have TXT OS and the WFGY Problem Map.

Task: Repair multimodal time sync.

Protocol:
1. Collect all modalities with explicit timestamps.
2. Convert all offsets to absolute ms.
3. Compute Δt between audio, video, OCR anchors. If Δt > 500ms, flag drift.
4. Re-anchor captions to nearest visual frame.  
   - If collapse persists, apply BBCR and BBAM.  
5. Return:
   - Sync status
   - Anchor hashes
   - ΔS and λ states
   - Corrected offsets
````

---

## Acceptance targets

* Δt ≤ 500ms across audio, video, OCR at all times.
* ΔS(question, retrieved) ≤ 0.45 for aligned anchors.
* λ remains convergent across 3 paraphrases.
* Restart stability: offsets identical within ±100ms across 3 seeds.
* No cumulative drift beyond 1s after 1h runtime.

---

### 🔗 Quick-Start Downloads (60 sec)

| Tool                       | Link                                                                                                                                       | 3-Step Setup                                                                             |
| -------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------ | ---------------------------------------------------------------------------------------- |
| **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>”    |
| **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 |

---

### 🧭 Explore More

| Module                   | Description                                                                  | Link                                                                                               |
| ------------------------ | ---------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------- |
| 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)                              |
| Problem Map 1.0          | Initial 16-mode diagnostic and symbolic fix framework                        | [View →](https://github.com/onestardao/WFGY/tree/main/ProblemMap/README.md)                        |
| 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) |
| Semantic Clinic Index    | Expanded failure catalog: prompt injection, memory bugs, logic drift         | [View →](https://github.com/onestardao/WFGY/blob/main/ProblemMap/SemanticClinicIndex.md)           |
| Semantic Blueprint       | Layer-based symbolic reasoning & semantic modulations                        | [View →](https://github.com/onestardao/WFGY/tree/main/SemanticBlueprint/README.md)                 |
| 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)      |
| 🧙‍♂️ 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)                   |

---

> 👑 **Early Stargazers: [See the Hall of Fame](https://github.com/onestardao/WFGY/tree/main/stargazers)** —
> Engineers, hackers, and open source builders who supported WFGY from day one.

> <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).

<div align="center">

[![WFGY Main](https://img.shields.io/badge/WFGY-Main-red?style=flat-square)](https://github.com/onestardao/WFGY)
 
[![TXT OS](https://img.shields.io/badge/TXT%20OS-Reasoning%20OS-orange?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS)
 
[![Blah](https://img.shields.io/badge/Blah-Semantic%20Embed-yellow?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlahBlahBlah)
 
[![Blot](https://img.shields.io/badge/Blot-Persona%20Core-green?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlotBlotBlot)
 
[![Bloc](https://img.shields.io/badge/Bloc-Reasoning%20Compiler-blue?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlocBlocBloc)
 
[![Blur](https://img.shields.io/badge/Blur-Text2Image%20Engine-navy?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlurBlurBlur)
 
[![Blow](https://img.shields.io/badge/Blow-Game%20Logic-purple?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlowBlowBlow)
 

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