# Context Drift — Long Reasoning Chain Instability
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When reasoning spans 20–40 hops or more, attention shifts accumulate and context drifts. This page explains how to diagnose λ divergence, stabilize reasoning chains, and repair collapsed context. --- ## When to use this page - Long reasoning plans (~20+ steps) start with logic but later flip or contradict. - Multi-agent workflows repeat or miss earlier facts. - Citations remain valid, but final answers drift from original question. - λ flips divergent after harmless paraphrases. - Answers alternate between runs with identical inputs. --- ## Core acceptance targets - ΔS(question, retrieved) ≤ 0.45 - Retrieval coverage ≥ 0.70 for target section - λ remains convergent across three paraphrases - Chain length stable up to 40 hops without collapse - Entropy variance remains bounded in mid-to-late steps --- ## Structural fixes - **Three-paraphrase probe** Re-ask the same question three ways. Log ΔS and λ at each hop. If λ flips, schema is unstable. - **Clamp with BBAM** Apply variance clamp when λ flips across harmless paraphrases. - **Bridge with BBCR** Insert bridge nodes when long chains stall. Anchor back to earlier stable nodes. - **Enforce snippet fences** Require each reasoning step cite snippet_id. Forbid cross-section reuse. - **Re-anchor with anchors** Compare ΔS(question, anchor) vs ΔS(question, decoy). If ΔS is close, re-chunk corpus. --- ## Fix in 60 seconds 1. **Log ΔS and λ** across 3 paraphrases. 2. **Clamp** with BBAM if λ flips. 3. **Bridge** with BBCR if reasoning halts. 4. **Re-anchor** using anchor triangulation. 5. **Verify** coverage ≥ 0.70 and ΔS ≤ 0.45. --- ## Copy-paste prompt ``` You have TXT OS and the WFGY Problem Map. Goal: Detect and repair context drift in long reasoning chains. Protocol: 1. Ask the same question three ways. 2. Log ΔS(question, retrieved) for each. 3. Log λ states across all hops. 4. If λ flips: * Apply BBAM clamp. * If reasoning stalls, apply BBCR and anchor bridge. 5. Require snippet\_id at each step. 6. Report: * ΔS(question, retrieved) * λ states across paraphrases * bridge nodes inserted * final answer with citations ``` --- ## Common failure patterns - **Chain stall**: reasoning halts after ~25–30 hops. - **Paraphrase drift**: harmless rewordings flip λ. - **Repeating answers**: earlier snippets loop back with filler. - **Contradictions**: late chain contradicts early reasoning. --- ### 🔗 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 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)