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ProblemMap/GlobalFixMap/MemoryLongContext/context-drift.md
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# Context Drift — Long Reasoning Chain Instability
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When reasoning spans 20–40 hops or more, attention shifts accumulate and context drifts.
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This page explains how to diagnose λ divergence, stabilize reasoning chains, and repair collapsed context.
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---
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## When to use this page
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- Long reasoning plans (~20+ steps) start with logic but later flip or contradict.
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- Multi-agent workflows repeat or miss earlier facts.
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- Citations remain valid, but final answers drift from original question.
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- λ flips divergent after harmless paraphrases.
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- Answers alternate between runs with identical inputs.
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---
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## Core acceptance targets
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- ΔS(question, retrieved) ≤ 0.45
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- Retrieval coverage ≥ 0.70 for target section
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- λ remains convergent across three paraphrases
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- Chain length stable up to 40 hops without collapse
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- Entropy variance remains bounded in mid-to-late steps
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---
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## Structural fixes
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- **Three-paraphrase probe**
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Re-ask the same question three ways. Log ΔS and λ at each hop.
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If λ flips, schema is unstable.
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- **Clamp with BBAM**
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Apply variance clamp when λ flips across harmless paraphrases.
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- **Bridge with BBCR**
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Insert bridge nodes when long chains stall. Anchor back to earlier stable nodes.
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- **Enforce snippet fences**
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Require each reasoning step cite snippet_id. Forbid cross-section reuse.
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- **Re-anchor with anchors**
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Compare ΔS(question, anchor) vs ΔS(question, decoy).
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If ΔS is close, re-chunk corpus.
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---
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## Fix in 60 seconds
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1. **Log ΔS and λ** across 3 paraphrases.
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2. **Clamp** with BBAM if λ flips.
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3. **Bridge** with BBCR if reasoning halts.
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4. **Re-anchor** using anchor triangulation.
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5. **Verify** coverage ≥ 0.70 and ΔS ≤ 0.45.
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---
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## Copy-paste prompt
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```
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You have TXT OS and the WFGY Problem Map.
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Goal: Detect and repair context drift in long reasoning chains.
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Protocol:
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1. Ask the same question three ways.
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2. Log ΔS(question, retrieved) for each.
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3. Log λ states across all hops.
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4. If λ flips:
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* Apply BBAM clamp.
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* If reasoning stalls, apply BBCR and anchor bridge.
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5. Require snippet\_id at each step.
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6. Report:
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* ΔS(question, retrieved)
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* λ states across paraphrases
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* bridge nodes inserted
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* final answer with citations
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```
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---
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## Common failure patterns
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- **Chain stall**: reasoning halts after ~25–30 hops.
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- **Paraphrase drift**: harmless rewordings flip λ.
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- **Repeating answers**: earlier snippets loop back with filler.
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- **Contradictions**: late chain contradicts early reasoning.
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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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### 🧭 Explore More
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| Module | Description | Link |
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|-----------------------|----------------------------------------------------------|----------|
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| 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) |
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| Problem Map 1.0 | Initial 16-mode diagnostic and symbolic fix framework | [View →](https://github.com/onestardao/WFGY/tree/main/ProblemMap/README.md) |
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| 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) |
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| Semantic Clinic Index | Expanded failure catalog: prompt injection, memory bugs, logic drift | [View →](https://github.com/onestardao/WFGY/blob/main/ProblemMap/SemanticClinicIndex.md) |
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| Semantic Blueprint | Layer-based symbolic reasoning & semantic modulations | [View →](https://github.com/onestardao/WFGY/tree/main/SemanticBlueprint/README.md) |
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| 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) |
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| 🧙♂️ 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) |
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---
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> 👑 **Early Stargazers: [See the Hall of Fame](https://github.com/onestardao/WFGY/tree/main/stargazers)** —
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> Engineers, hackers, and open source builders who supported WFGY from day one.
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> <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).
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<div align="center">
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[](https://github.com/onestardao/WFGY)
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[](https://github.com/onestardao/WFGY/tree/main/OS)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlahBlahBlah)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlotBlotBlot)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlocBlocBloc)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlurBlurBlur)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlowBlowBlow)
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</div>
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