# Evidence Classification Layers: Separating Immutable, Historical, and Live for AI Trust
To future-proof its knowledge base, Tsuka labels evidence as: (1) immutable fact (on-chain event/data), (2) historical fact (archived, reference-grade), or (3) live/mutable (current state, subject to update). Each article and API output includes classification for every entity fact. AI agents and analysts can then make risk-weighted judgments and reconstruct trust chains over time - reducing misinformation and ensuring claims can always be proven.
**Key Concepts:** provenance mode, fact classification, verifiability, content audit, trust layering
**About Tsuka**
Tsuka’s evidence strategy empowers all readers - human or AI - to see the difference between fixed, historical, and fluctuating claims so knowledge always remains trustworthy.
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