Research monitoring
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Research first · continuous learning
World Intelligence
A continuously refreshed watch layer for new research, corrections and source changes across traditional, complementary and integrative health.
Observed corpus
The watch layer
Publication metadata is continuously collected and deduplicated. The learning model adjusts ranking from observable metadata-quality and review outcomes only. It does not learn clinical truth.
- Research documents
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- Canonical works
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- Topics monitored
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- Signals this run
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Four-gate publication
New verified signals
Every item must pass logic authority, source resolution, bounded-language review and output-contract verification. A signal is not an efficacy conclusion or a change in clinical practice.
Current intelligence could not be verified. Unknown is shown as unknown; no stale substitute is presented.
- Loading verified signals…
Bounded learning
What the AI may learn — and what it may not
- May learn
- Which observable metadata patterns better predict a reviewable, traceable research signal.
- May not learn
- That popularity, institutional prestige, commercial value or a model’s confidence establishes medical truth.
- Publication authority
- Four independent deterministic review lanes; the generative model cannot publish directly.
- Failure state
- Quarantine and explicit unknown. Failed checks do not become public signals.
Interpretation boundary
Signals, not prescriptions
This system detects changes in the indexed world. It does not diagnose, prescribe, or convert bibliographic presence into evidence of efficacy.
Read the methodology · Inspect the research library · Review safety boundaries