WFGY/ProblemMap/GlobalFixMap/Multimodal_LongContext/caption-collapse.md

# Caption Collapse — Multimodal Long Context

When captions or annotations break down under long windows, multimodal pipelines lose alignment and factual grounding.  
This page focuses on stabilizing caption integrity for images, videos, and diagrams in extended sessions.

---

## What this page is
- A diagnostic page for caption degradation in multimodal contexts.  
- Structural guardrails to keep captions aligned with visual evidence.  
- Acceptance targets for ΔS and λ across captions and snippets.

---

## When to use
- Image captions are accurate at the start but drift after 20k+ tokens.  
- Captions compress multiple regions into one vague statement.  
- Video scene captions skip events or merge distinct frames.  
- Diagram labels appear but reasoning no longer references them correctly.  
- Captions look fluent but introduce objects not in the frame.

---

## Open these first
- [Entropy Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/entropy-collapse.md)  
- [Context Drift](https://github.com/onestardao/WFGY/blob/main/ProblemMap/context-drift.md)  
- [Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md)  
- [Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md)  
- [Chunking Checklist](https://github.com/onestardao/WFGY/blob/main/ProblemMap/chunking-checklist.md)  

---

## Common failure patterns
- **Vague compression**: distinct objects collapsed into one generic caption.  
- **Temporal merge**: video events blended into a single description.  
- **Phantom detail**: captions include invented objects or properties.  
- **Citation loss**: captions lack bounding boxes or region ids.  
- **Context slip**: captions reference prior images instead of the current one.

---

## Fix in 60 seconds
1. **Stamp captions with anchors**  
   - Add `{region_id | bbox | frame_time}` to each caption.  
   - Require ΔS(caption, region) ≤ 0.45.

2. **Enforce one-to-one mapping**  
   - Each object/region must have a unique caption line.  
   - Forbid merges without explicit evidence.

3. **Normalize caption schema**  
   - Require `{subject | attribute | action}` fields.  
   - Disallow free-form hallucinations.

4. **Clamp entropy**  
   - Apply BBAM when variance rises across caption tokens.  
   - Apply BBCR bridge if captions diverge from visual anchors.

5. **Trace joins**  
   - Log {region_id, caption_id, ΔS, λ_state}.  
   - Fail if any caption has no visual anchor.

---

## Copy-paste prompt

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

Task: Stabilize captions across long multimodal contexts.

Steps:
1. Print each caption with {region_id | bbox | frame_time}.
2. Require cite-then-caption, forbid phantom objects.
3. Compute ΔS(caption, region). If ≥ 0.60, propose fix with data-contracts or chunking-checklist.
4. Apply BBAM if entropy rises. Apply BBCR if λ diverges.
5. Return: {Caption Table, Alignment Log, Final Answer}.
````

---

## Acceptance targets

* ΔS(caption ↔ region) ≤ 0.45
* Each caption tied to a valid region\_id or frame\_time
* λ remains convergent across three paraphrases
* No phantom objects or invented attributes
* Captions maintain one-to-one mapping with objects

---

### 🔗 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)
 
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