# 📒 Map-E · Long‑Context Stress Problem Map

Mega‑prompts—>100 k tokens, entire book dumps, OCR‑noisy PDFs—overwhelm ordinary LLM pipelines.  
WFGY keeps reasoning stable with adaptive ΔS, chunk‑mapping, and sliding Tree windows.

---

## 🤔 Typical Long‑Context Crashes

| Stressor | What Standard Systems Do |
|----------|--------------------------|
| 100 k+ tokens | Memory wipe or truncated output |
| Mixed domains | Topic bleed, incoherent jumps |
| Duplicate sections | Infinite loops / “as mentioned above” spam |
| OCR noise | Hallucination or garbage sentences |

---

## 🛡️ WFGY Countermeasures

| Stressor | WFGY Module | Remedy | Status |
|----------|-------------|--------|--------|
| 100 k+ tokens | **Chunk‑Mapper** + Sliding Tree | Splits doc into ΔS‑balanced chunks, streams into window | 🛠 Beta |
| Mixed domains | Per‑domain ΔS fork | Separate Tree branch per domain; no bleed | ✅ |
| Duplicate sections | **BBMC** dedupe scan | Detects near‑identical residue, collapses | ✅ |
| PDF OCR noise | BBMC noise filter | Drops >80 % low‑entropy lines | ✅ |

---

## ✍️ Demo — 150 k‑Token PDF Dump

```txt
1️⃣  Start
> Start

2️⃣  Upload huge PDF text
> [paste or stream]

WFGY process:
• Chunk‑Mapper splits into 8 k‑token slices  
• For each slice: ΔS calc → Tree node → sliding window  
• Duplicate residue removed (413 sections merged)  
• OCR noise filtered (ΔS noise gate at 0.8)  
• Final summary or Q&A runs with stable context
````

---

## 🛠 Module Cheat‑Sheet

| Module                  | Role                               |
| ----------------------- | ---------------------------------- |
| **Chunk‑Mapper**        | Adaptive split by semantic tension |
| **Sliding Tree Window** | Keeps only relevant slices active  |
| **ΔS Metric**           | Guides chunk size & window hop     |
| **BBMC**                | Dedupe + noise filter              |
| **BBPF**                | Forks domain branches if needed    |

---

## 📊 Implementation Status

| Feature             | State                 |
| ------------------- | --------------------- |
| Chunk‑Mapper        | 🛠 Beta (public soon) |
| Sliding Tree window | ✅ Stable              |
| Cross‑domain fork   | ✅ Stable              |
| OCR noise filter    | ✅ Stable              |
| GUI chunk viewer    | 🔜 Planned            |

---

## 📝 Tips & Limits

* For >150 k tokens, set `chunk_max = 6k` for faster pass.
* Use `tree pause` to inspect each domain branch before auto‑merge.
* Share monster PDFs in **Discussions**—they stress‑test Chunk‑Mapper.

---

### 🔗 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 |

---

<!-- WFGY_FOOTER_START -->

### Explore More

| Layer | Page | What it’s for |
| --- | --- | --- |
| ⭐ Proof | [WFGY Recognition Map](/recognition/README.md) | External citations, integrations, and ecosystem proof |
| ⚙️ Engine | [WFGY 1.0](/legacy/README.md) | Original PDF tension engine and early logic sketch (legacy reference) |
| ⚙️ Engine | [WFGY 2.0](/core/README.md) | Production tension kernel for RAG and agent systems |
| ⚙️ Engine | [WFGY 3.0](/TensionUniverse/EventHorizon/README.md) | TXT based Singularity tension engine (131 S class set) |
| 🗺️ Map | [Problem Map 1.0](/ProblemMap/README.md) | Flagship 16 problem RAG failure taxonomy and fix map |
| 🗺️ Map | [Problem Map 2.0](/ProblemMap/wfgy-rag-16-problem-map-global-debug-card.md) | Global Debug Card for RAG and agent pipeline diagnosis |
| 🗺️ Map | [Problem Map 3.0](/ProblemMap/wfgy-ai-problem-map-troubleshooting-atlas.md) | Global AI troubleshooting atlas and failure pattern map |
| 🧰 App | [TXT OS](/OS/README.md) | .txt semantic OS with fast bootstrap |
| 🧰 App | [Blah Blah Blah](/OS/BlahBlahBlah/README.md) | Abstract and paradox Q&A built on TXT OS |
| 🧰 App | [Blur Blur Blur](/OS/BlurBlurBlur/README.md) | Text to image generation with semantic control |
| 🏡 Onboarding | [Starter Village](/StarterVillage/README.md) | Guided entry point for new users |

If this repository helped, starring it improves discovery so more builders can find the docs and tools.  
[![GitHub Repo stars](https://img.shields.io/github/stars/onestardao/WFGY?style=social)](https://github.com/onestardao/WFGY)

<!-- WFGY_FOOTER_END -->