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106 lines
4.2 KiB
Markdown
106 lines
4.2 KiB
Markdown
# 📒 Map-E · Long‑Context Stress Problem Map
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Mega‑prompts—>100 k tokens, entire book dumps, OCR‑noisy PDFs—overwhelm ordinary LLM pipelines.
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WFGY keeps reasoning stable with adaptive ΔS, chunk‑mapping, and sliding Tree windows.
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---
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## 🤔 Typical Long‑Context Crashes
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| Stressor | What Standard Systems Do |
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|----------|--------------------------|
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| 100 k+ tokens | Memory wipe or truncated output |
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| Mixed domains | Topic bleed, incoherent jumps |
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| Duplicate sections | Infinite loops / “as mentioned above” spam |
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| OCR noise | Hallucination or garbage sentences |
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---
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## 🛡️ WFGY Countermeasures
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| Stressor | WFGY Module | Remedy | Status |
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|----------|-------------|--------|--------|
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| 100 k+ tokens | **Chunk‑Mapper** + Sliding Tree | Splits doc into ΔS‑balanced chunks, streams into window | 🛠 Beta |
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| Mixed domains | Per‑domain ΔS fork | Separate Tree branch per domain; no bleed | ✅ |
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| Duplicate sections | **BBMC** dedupe scan | Detects near‑identical residue, collapses | ✅ |
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| PDF OCR noise | BBMC noise filter | Drops >80 % low‑entropy lines | ✅ |
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---
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## ✍️ Demo — 150 k‑Token PDF Dump
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```txt
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1️⃣ Start
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> Start
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2️⃣ Upload huge PDF text
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> [paste or stream]
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WFGY process:
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• Chunk‑Mapper splits into 8 k‑token slices
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• For each slice: ΔS calc → Tree node → sliding window
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• Duplicate residue removed (413 sections merged)
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• OCR noise filtered (ΔS noise gate at 0.8)
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• Final summary or Q&A runs with stable context
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````
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---
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## 🛠 Module Cheat‑Sheet
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| Module | Role |
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| ----------------------- | ---------------------------------- |
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| **Chunk‑Mapper** | Adaptive split by semantic tension |
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| **Sliding Tree Window** | Keeps only relevant slices active |
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| **ΔS Metric** | Guides chunk size & window hop |
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| **BBMC** | Dedupe + noise filter |
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| **BBPF** | Forks domain branches if needed |
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---
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## 📊 Implementation Status
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| Feature | State |
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| ------------------- | --------------------- |
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| Chunk‑Mapper | 🛠 Beta (public soon) |
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| Sliding Tree window | ✅ Stable |
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| Cross‑domain fork | ✅ Stable |
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| OCR noise filter | ✅ Stable |
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| GUI chunk viewer | 🔜 Planned |
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---
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## 📝 Tips & Limits
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* For >150 k tokens, set `chunk_max = 6k` for faster pass.
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* Use `tree pause` to inspect each domain branch before auto‑merge.
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* Share monster PDFs in **Discussions**—they stress‑test Chunk‑Mapper.
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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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| Module | Description | Link |
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| --- | --- | --- |
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| WFGY Core | Canonical framework entry point | [View](https://github.com/onestardao/WFGY/tree/main/core/README.md) |
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| Problem Map | Diagnostic map and navigation hub | [View](https://github.com/onestardao/WFGY/tree/main/ProblemMap/README.md) |
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| Tension Universe Experiments | MVP experiment field | [View](https://github.com/onestardao/WFGY/tree/main/TensionUniverse/Experiments) |
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| Recognition | Where WFGY is referenced or adopted | [View](https://github.com/onestardao/WFGY/blob/main/recognition/README.md) |
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| AI Guide | Anti-hallucination reading protocol for tools | [View](https://github.com/onestardao/WFGY/blob/main/AI_GUIDE.md) |
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> If this repository helps, starring it improves discovery for other builders.
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> [](https://github.com/onestardao/WFGY)
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<!-- WFGY_FOOTER_END -->
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