# Multi-Hop Collapse — Multimodal Long Context
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> - [**Multimodal_LongContext** — long-context reasoning across text, vision, and audio](./README.md)
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> - [**WFGY Problem Map 1.0** — 16 reproducible failure modes](../../README.md)
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When reasoning requires **multi-hop steps across modalities** (e.g., text → image → audio → video),
the chain often collapses midway. The model answers only the first hop or fabricates the rest,
losing alignment between evidence sources.
---
## What this page is
- A targeted fix for **multi-hop multimodal reasoning** failures in long-context sessions.
- Defines measurable checkpoints for each hop.
- Provides guardrails to keep ΔS and λ stable across chained modalities.
---
## When to use
- A video QA task asks: “What does the person say after showing the book?” → model answers book title but skips speech.
- An OCR pipeline extracts text, but reasoning ignores it in the final image caption.
- Chain-of-thought starts correctly, then jumps to a hallucinated answer without citing the second modality.
- Multi-step retrieval returns correct snippets, but only the first snippet is used.
- Answers flip between runs depending on which hop the model “forgets.”
---
## Open these first
- [Cross-Modal Trace](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Multimodal_LongContext/cross-modal-trace.md)
- [Modal Bridge Failure](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Multimodal_LongContext/modal-bridge-failure.md)
- [Anchor Misalignment](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Multimodal_LongContext/anchor-misalignment.md)
- [Sync Loop](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Multimodal_LongContext/sync-loop.md)
---
## Common failure patterns
- **Single-hop truncation** — only the first modality is processed, chain stops.
- **Bridge collapse** — second hop exists but produces null output or irrelevant data.
- **Hallucinated completion** — model skips missing modality and fabricates plausible link.
- **Order inversion** — hops are executed in the wrong sequence.
---
## Fix in 60 seconds
1. **Hop schema lock**
- Require `{hop_id, input_modality, output_modality, snippet_id, ΔS}` for each step.
- Forbid skipping hops.
2. **ΔS checkpoints**
- Compute ΔS at each hop transition.
- Threshold: ΔS ≤ 0.45 is stable, 0.45–0.60 transitional, ≥ 0.60 collapse risk.
3. **λ continuity probe**
- Record λ across hops: retrieval → fusion → reasoning.
- If λ flips divergent, apply BBAM clamp.
4. **BBCR bridge**
- Insert bridge node for missing or weak hop.
- Re-anchor using prior modality context.
5. **Cite all hops**
- Require at least one snippet citation from each hop.
- Stop output if any hop is missing evidence.
---
## Copy-paste prompt
```txt
You have TXT OS and the WFGY Problem Map.
Task: Repair multi-hop multimodal collapse.
Steps:
1. List all hops in the chain {hop_id, from_modality → to_modality}.
2. For each hop, compute ΔS and record λ state.
3. If ΔS ≥ 0.60 at any hop, re-run retrieval and insert BBCR bridge.
4. Output must include:
- citations per hop
- ΔS values
- λ states
- fused final reasoning
````
---
## Acceptance targets
* Every hop cited with snippet evidence.
* ΔS ≤ 0.45 at each hop boundary.
* λ remains convergent across three paraphrases.
* No fabricated hops or skipped modalities.
---
### 🔗 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 + ” |
| **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) |
---
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> Engineers, hackers, and open source builders who supported WFGY from day one.
> 
⭐ [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).
[](https://github.com/onestardao/WFGY)
[](https://github.com/onestardao/WFGY/tree/main/OS)
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