Hallucination in RAG — Guardrails and Fix Pattern

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

Visual recovery: RAG Architecture & Recovery
Retrieval schema: Retrieval Traceability
Snippet contracts: Data Contracts
Boundary fences: Cite-then-Explain
Chain stability: Logic Collapse
Long-context drift: Context Drift

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

Cite-first enforcement
- Force the LLM to output citations before free text.
- Forbid answers that lack at least one valid snippet_id.
ΔS probe
- Compute ΔS(answer, cited snippet).
- If ≥ 0.60, trigger BBPF alternate reasoning path.
Apply module
- Boundary collapse → BBCR bridge + Cite-then-Explain
- Re-entry loops → Pattern: Hallucination Re-entry

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

Module	Description	Link
WFGY Core	WFGY 2.0 engine is live: full symbolic reasoning architecture and math stack	View →
Problem Map 1.0	Initial 16-mode diagnostic and symbolic fix framework	View →
Problem Map 2.0	RAG-focused failure tree, modular fixes, and pipelines	View →
Semantic Clinic Index	Expanded failure catalog: prompt injection, memory bugs, logic drift	View →
Semantic Blueprint	Layer-based symbolic reasoning & semantic modulations	View →
Benchmark vs GPT-5	Stress test GPT-5 with full WFGY reasoning suite	View →
🧙‍♂️ Starter Village 🏡	New here? Lost in symbols? Click here and let the wizard guide you through	Start →

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