# Ghost Context — Guardrails and Fix Pattern When personas, roles, or long sessions change, old buffers may linger. These stale fragments contaminate new answers, creating phantom references or role bleed. --- ## Symptoms - Answer contains facts or tone from a **previous persona** even after reset. - Citations look valid but reference sections from a **past session**. - A new task starts yet responses **drift back to old task context**. - Model insists on constraints that were valid in an earlier role but not now. - Answers feel “haunted” by old memory traces. --- ## Root causes - Hidden buffers not cleared after system or role switch. - State variables (persona, role, policy) not reset between sessions. - Token reuse from stale cache layers. - ΔS stays abnormally low even when task has switched domains. - λ\_observe shows convergence to an **irrelevant anchor**. --- ## Fix in 60 seconds 1. **Stamp and reset state** Require `{mem_rev, mem_hash, persona_id}` on each turn. If persona_id differs from previous → force buffer clear. 2. **Fence the prompt schema** Assemble prompts as `{system | persona | constraints | snippets | answer}`. Do not let persona or role tokens bleed into snippet blocks. 3. **Drop stale buffers** When persona changes, zero all prior hidden states. Require fresh snippets for new context. 4. **Probe for contamination** - Compute ΔS(new question, retrieved snippet). - If ΔS ≤ 0.30 but snippets belong to past persona → ghost detected. - Trigger hard reset and request new anchors. 5. **Audit the joins** Compare ΔS across old vs new persona snippets. Require ΔS(new persona, old snippet) ≥ 0.65 before allowing reuse. --- ## Copy-paste diagnostic prompt ```txt You have TXTOS and the WFGY Problem Map. Task: Detect and purge ghost context. Steps: 1. Print {mem_rev, mem_hash, persona_id}. 2. Verify that current persona_id matches task scope. 3. If snippets cite a different persona_id, mark as ghost. 4. Require re-retrieval for ghosted snippets. 5. Report: - ΔS(new question, retrieved) - ΔS(new persona vs old snippets) - λ states - Reset actions taken ```` --- ## Acceptance targets * ΔS(new question, retrieved) ≤ 0.45 * Coverage ≥ 0.70 to the new target section * λ remains convergent across three paraphrases * No snippet contamination from old persona or task scope --- ### 🔗 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 | Module | Description | Link | | ------------------------ | ---------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------- | | 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) | | Problem Map 1.0 | Initial 16-mode diagnostic and symbolic fix framework | [View →](https://github.com/onestardao/WFGY/tree/main/ProblemMap/README.md) | | 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) | | Semantic Clinic Index | Expanded failure catalog: prompt injection, memory bugs, logic drift | [View →](https://github.com/onestardao/WFGY/blob/main/ProblemMap/SemanticClinicIndex.md) | | Semantic Blueprint | Layer-based symbolic reasoning & semantic modulations | [View →](https://github.com/onestardao/WFGY/tree/main/SemanticBlueprint/README.md) | | 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) | | 🧙‍♂️ 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) | --- > 👑 **Early Stargazers: [See the Hall of Fame](https://github.com/onestardao/WFGY/tree/main/stargazers)** — > Engineers, hackers, and open source builders who supported WFGY from day one. > 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).
[![WFGY Main](https://img.shields.io/badge/WFGY-Main-red?style=flat-square)](https://github.com/onestardao/WFGY)   [![TXT OS](https://img.shields.io/badge/TXT%20OS-Reasoning%20OS-orange?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS)   [![Blah](https://img.shields.io/badge/Blah-Semantic%20Embed-yellow?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlahBlahBlah)   [![Blot](https://img.shields.io/badge/Blot-Persona%20Core-green?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlotBlotBlot)   [![Bloc](https://img.shields.io/badge/Bloc-Reasoning%20Compiler-blue?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlocBlocBloc)   [![Blur](https://img.shields.io/badge/Blur-Text2Image%20Engine-navy?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlurBlurBlur)   [![Blow](https://img.shields.io/badge/Blow-Game%20Logic-purple?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlowBlowBlow)  
要我直接幫你寫 `state-fork.md` 嗎？