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verifiable-data

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Language: Python
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apache / sourcelume-spec

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Apache Sourcelume is open-source instrumentation for AI training-data provenance — a metadata specification, a reference registry, and tooling that let dataset curators and model producers publish signed, independently verifiable records of where their data came from and what terms it carries.

ai apache specification transparency attestation training-data license-compliance data-provenance verifiable-data ai-governance dataset-licensing
  • Updated Sep 13, 2026
  • Python

openproof-net / openproof-rpo

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Draft RPO specification, fictional case studies and a local integrity checker. Contribute to source traceability and human review.

json-schema compliance source-of-truth traceability rpo data-governance data-lineage open-standard digital-evidence digital-trust verifiable-data auditability governance-framework institutional-governance evidence-bundle openproof decision-governance probative-infrastructure decision-defensibility forensic-data
  • Updated Oct 5, 2026
  • Python

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