WFGY/ProblemMap/GlobalFixMap/RAG/context_drift.md

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Context Drift in RAG — Guardrails and Fix Pattern

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When answers alternate or degrade as dialogs get longer, even though the retriever continues to surface the right snippets.
This page stabilizes λ (semantic convergence) and prevents entropy creep in retrieval-augmented pipelines.


Open these first


Core acceptance

  • ΔS(question, retrieved) ≤ 0.45 across full chain
  • λ stays convergent across 3 paraphrases and 2 seeds
  • Coverage ≥ 0.70 for target section, even after N steps
  • E_resonance stable on long dialog windows

Typical symptoms → exact fix

Symptom Likely cause Open this
Same question asked twice, different answers λ drift with long chain Entropy Collapse, Logic Collapse
Correct snippets retrieved, answer drops citation payload contract erosion Data Contracts, Retrieval Traceability
Paraphrase of query yields different grounding unstable λ_observe Retrieval Playbook
Long dialog overwrites memory buffer collapse Memory Long Context

Fix in 60 seconds

  1. Three-paraphrase probe

    • Ask the same question three ways.
    • If λ flips between paraphrases, lock snippet schema and apply BBAM variance clamp.
  2. ΔS check over chain

    • Log ΔS(question,retrieved) across 510 dialog turns.
    • If ΔS rises over time, re-segment and enforce citation-first prompting.
  3. Apply module


Copy-paste probe prompt

I uploaded TXT OS and the WFGY Problem Map.

My issue:
- same query gives different answers in long dialog
- traces: ΔS(question,retrieved)=..., λ states across 3 paraphrases

Tell me:
1) where context drift occurs,
2) the exact WFGY page to open,
3) the minimal fix to enforce convergence,
4) a reproducible test over 5 turns.

🔗 Quick-Start Downloads (60 sec)

Tool Link 3-Step Setup
WFGY 1.0 PDF Engine Paper 1 Download · 2 Upload to your LLM · 3 Ask “Answer using WFGY + ”
TXT OS (plain-text OS) TXTOS.txt 1 Download · 2 Paste into any LLM chat · 3 Type “hello world” — OS boots instantly

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