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examples/04_private_data_public_findings/
Lab A discovers a finding and publishes its provenance trace. Lab B reads the trace, replicates on its own private dataset, and publishes back. The graph answers three questions automatically:
  1. Independent paths? Different data sources, or both from LLM prior?
  2. Genuinely reproducible? Stable across datasets, or a data artifact?
  3. Provenance distance? How far is each conclusion from raw data?
Also demonstrates spurious REPLICATED, two INFERRED claims repeating the same LLM prior, and how to detect it from classification.

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Run

pip install langchain-core
cd examples/04_private_data_public_findings
python 04_private_data_public_findings.py