[Architecture] Solving Agent Hallucinations: The Split-Brain PAVE-WFGY Gate
증상
Autonomous agents suffer from a fatal flaw: Semantic Drift and Time Reversal.
원인
next-token prediction doesn’t inherently understand causality or physical time.
해결법
- Extraction (Cheap Model): A fast model (e.g., Gemini Flash) reads the massive RAG context and extracts pure Atomic Facts, explicitly tagging them with
[Time=T0]or physical constraints. - Drafting (Cheap Model): The fast model drafts a response using only those facts.
- The WFGY Judge (Cheap Model): An independent fast model acts as a judge. It applies World Fact Grounding (WFGY) principles:
- “Does this draft violate the time sequence of the atomic facts?”
- “Is there semantic residue (hallucinated entities)?” It scores the draft 0.0 to 1.0.
- Conditional Escalation (Expensive Model):
- If Score > 0.9: Execute immediately. (Saves 100% of expensive model costs).
- If Score < 0.9: Trigger Circuit Breaker. The system passes the atomic fa
참고
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