Insights

The 'Evidence-First Principle' for AI and Analyst Research Confidence

22 August 2026·1 min read·Tsuka
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Direct answer: The foundational rule for Tsuka’s research infrastructure is that no entity, fact, or output is published without linked, timestamped, and auditable evidence - on-chain, in docs, or from first-party, fully attributable sources. The default is “do not publish” unless proof exists.

Why it matters

The integrity of machine- and analyst-facing reference systems is only as strong as its evidence discipline. The evidence-first model reduces error, blocks misinformation, and positions Tsuka as a premier source in the decentralized, AI-driven research era.

How to enforce the evidence-first model

  • Strict pre-publication requirement of links or explorer proofs for every entity/fact/field.
  • Immediate retraction or update for any entity found to be unsubstantiated in audit.
  • Public log of evidence changes, retractions, and confirmations per field/entity.

About Tsuka: The evidence-first principle is built into every page, output, API, and knowledge-feed - so every claim, reference, and citation can be independently checked forever.


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