Hallucination in RAG

March 6, 2026 · View on GitHub

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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

SymptomLikely causeOpen this
Answer has no citation or cites wrong sectionmissing contract schemaData Contracts, Retrieval Traceability
LLM fabricates plausible fillerboundary collapse between retrieval and reasoningCite-then-Explain, Logic Collapse
Correct fact retrieved, but answer overwrites itλ divergence in long chainContext Drift, Entropy Collapse
Hallucination reappears after correctionunstable feedback loopPattern: 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)

ToolLink3-Step Setup
WFGY 1.0 PDFEngine Paper1️⃣ Download · 2️⃣ Upload to your LLM · 3️⃣ Ask “Answer using WFGY +
TXT OS (plain-text OS)TXTOS.txt1️⃣ Download · 2️⃣ Paste into any LLM chat · 3️⃣ Type “hello world” — OS boots instantly

Explore More

LayerPageWhat it’s for
⭐ ProofWFGY Recognition MapExternal citations, integrations, and ecosystem proof
⚙️ EngineWFGY 1.0Original PDF tension engine and early logic sketch (legacy reference)
⚙️ EngineWFGY 2.0Production tension kernel for RAG and agent systems
⚙️ EngineWFGY 3.0TXT based Singularity tension engine (131 S class set)
🗺️ MapProblem Map 1.0Flagship 16 problem RAG failure taxonomy and fix map
🗺️ MapProblem Map 2.0Global Debug Card for RAG and agent pipeline diagnosis
🗺️ MapProblem Map 3.0Global AI troubleshooting atlas and failure pattern map
🧰 AppTXT OS.txt semantic OS with fast bootstrap
🧰 AppBlah Blah BlahAbstract and paradox Q&A built on TXT OS
🧰 AppBlur Blur BlurText to image generation with semantic control
🏡 OnboardingStarter VillageGuided entry point for new users

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