# 📒 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 + \” | | **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 | 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 based tension engine | | Engine | [WFGY 2.0](/core/README.md) | Production tension kernel and math engine for RAG and agents | | 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 checklist and fix map | | Map | [Problem Map 2.0](/ProblemMap/rag-architecture-and-recovery.md) | RAG focused recovery pipeline | | Map | [Problem Map 3.0](/ProblemMap/wfgy-rag-16-problem-map-global-debug-card.md) | Global Debug Card, image as a debug protocol layer | | Map | [Semantic Clinic](/ProblemMap/SemanticClinicIndex.md) | Symptom to family to exact fix | | Map | [Grandma’s Clinic](/ProblemMap/GrandmaClinic/README.md) | Plain language stories mapped to Problem Map 1.0 | | Onboarding | [Starter Village](/StarterVillage/README.md) | Guided tour for newcomers | | App | [TXT OS](/OS/README.md) | TXT semantic OS, fast boot | | App | [Blah Blah Blah](/OS/BlahBlahBlah/README.md) | Abstract and paradox Q and A built on TXT OS | | App | [Blur Blur Blur](/OS/BlurBlurBlur/README.md) | Text to image with semantic control | | App | [Blow Blow Blow](/OS/BlowBlowBlow/README.md) | Reasoning game engine and memory demo | 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)