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115 lines
4.9 KiB
Markdown
115 lines
4.9 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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| Layer | Page | What it’s for |
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| --- | --- | --- |
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| Proof | [WFGY Recognition Map](/recognition/README.md) | External citations, integrations, and ecosystem proof |
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| Engine | [WFGY 1.0](/legacy/README.md) | Original PDF based tension engine |
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| Engine | [WFGY 2.0](/core/README.md) | Production tension kernel and math engine for RAG and agents |
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| Engine | [WFGY 3.0](/TensionUniverse/EventHorizon/README.md) | TXT based Singularity tension engine, 131 S class set |
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| Map | [Problem Map 1.0](/ProblemMap/README.md) | Flagship 16 problem RAG failure checklist and fix map |
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| Map | [Problem Map 2.0](/ProblemMap/rag-architecture-and-recovery.md) | RAG focused recovery pipeline |
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| Map | [Problem Map 3.0](/ProblemMap/wfgy-rag-16-problem-map-global-debug-card.md) | Global Debug Card, image as a debug protocol layer |
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| Map | [Semantic Clinic](/ProblemMap/SemanticClinicIndex.md) | Symptom to family to exact fix |
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| Map | [Grandma’s Clinic](/ProblemMap/GrandmaClinic/README.md) | Plain language stories mapped to Problem Map 1.0 |
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| Onboarding | [Starter Village](/StarterVillage/README.md) | Guided tour for newcomers |
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| App | [TXT OS](/OS/README.md) | TXT semantic OS, fast boot |
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| App | [Blah Blah Blah](/OS/BlahBlahBlah/README.md) | Abstract and paradox Q and A built on TXT OS |
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| App | [Blur Blur Blur](/OS/BlurBlurBlur/README.md) | Text to image with semantic control |
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| App | [Blow Blow Blow](/OS/BlowBlowBlow/README.md) | Reasoning game engine and memory demo |
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If this repository helped, starring it improves discovery so more builders can find the docs and tools.
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[](https://github.com/onestardao/WFGY)
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<!-- WFGY_FOOTER_END -->
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