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Hallucination in RAG — Guardrails and Fix Pattern

🧭 Quick Return to Map

You are in a sub-page of RAG.
To reorient, go back here:

Think of this page as a desk within a ward.
If you need the full triage and all prescriptions, return to the Emergency Room lobby.

When the retriever returns plausible text, but the LLM answers with facts that are not in the corpus.
This page stabilizes retrieval → reasoning boundaries and applies WFGY symbolic fixes to stop hallucination loops.


Open these first


Core acceptance

  • Every answer includes citation fields (snippet_id, section_id, source_url)
  • ΔS(answer, cited snippet) ≤ 0.45
  • Coverage ≥ 0.70 for cited target section
  • λ convergent across 3 paraphrases and 2 seeds

Typical symptoms → exact fix

Symptom Likely cause Open this
Answer has no citation or cites wrong section missing contract schema Data Contracts, Retrieval Traceability
LLM fabricates plausible filler boundary collapse between retrieval and reasoning Cite-then-Explain, Logic Collapse
Correct fact retrieved, but answer overwrites it λ divergence in long chain Context Drift, Entropy Collapse
Hallucination reappears after correction unstable feedback loop Pattern: Hallucination Re-entry

Fix in 60 seconds

  1. Cite-first enforcement

    • Force the LLM to output citations before free text.
    • Forbid answers that lack at least one valid snippet_id.
  2. ΔS probe

    • Compute ΔS(answer, cited snippet).
    • If ≥ 0.60, trigger BBPF alternate reasoning path.
  3. Apply module


Copy-paste prompt for debug

I uploaded TXT OS and the WFGY Problem Map.

My issue:
- retrieval finds the fact, but answer hallucinates new content
- traces: ΔS(answer,cited_snippet)=..., λ across 3 paraphrases

Tell me:
1. failing boundary (retrieval vs reasoning),
2. exact WFGY page to open,
3. minimal fix to enforce cite-then-explain and push ΔS ≤ 0.45,
4. test to verify stability over 3 paraphrases.

🔗 Quick-Start Downloads (60 sec)

Tool Link 3-Step Setup
WFGY 1.0 PDF Engine Paper 1️⃣ Download · 2️⃣ Upload to your LLM · 3️⃣ Ask “Answer using WFGY + ”
TXT OS (plain-text 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 External citations, integrations, and ecosystem proof
⚙️ Engine WFGY 1.0 Original PDF tension engine and early logic sketch (legacy reference)
⚙️ Engine WFGY 2.0 Production tension kernel for RAG and agent systems
⚙️ Engine WFGY 3.0 TXT based Singularity tension engine (131 S class set)
🗺️ Map Problem Map 1.0 Flagship 16 problem RAG failure taxonomy and fix map
🗺️ Map Problem Map 2.0 Global Debug Card for RAG and agent pipeline diagnosis
🗺️ Map Problem Map 3.0 Global AI troubleshooting atlas and failure pattern map
🧰 App TXT OS .txt semantic OS with fast bootstrap
🧰 App Blah Blah Blah Abstract and paradox Q&A built on TXT OS
🧰 App Blur Blur Blur Text to image generation with semantic control
🏡 Onboarding Starter Village Guided entry point for new users

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