Research reality
Reproducibility is governance in a lab coat.
Scientific workflows already understand receipts: methods, datasets, and citations. IF.TTT is the same idea applied to AI outputs and operational decisions: publish what can be verified, and mark what can’t.
Third‑party pressure
- Peer reviewers need the ability to reproduce claims.
- Funding/compliance bodies need provenance for decisions and outputs.
- Collaborators need proof that the artifact they received is the artifact you published.
What IF.TTT provides
Integrity
Hash receipts: same bytes, same hash, independent verification.
Clarity
Explicitly separates evidence (verified) from interpretation (not verified).
Portability
Offline bundles for constrained or future review environments.
Portable verification artifacts
So reviewers can validate without trusting your infrastructure.
Trace receipt: https://infrafabric.io/static/trace/<shareId>
Pack (raw): https://infrafabric.io/static/pack/<shareId>.md
Pack (HTML): https://infrafabric.io/static/pack/<shareId>
Offline bundles: https://infrafabric.io/static/hosted/review/trace-bundles/<id>/index.html