Artifacts remediated
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Reduction to practice · Live
Consent is not a one-way door.
A source grants a fraction of its data. An AI model consumes it under a cryptographic binding. The model is fine-tuned; the fine-tune is deployed inside an agent. Then the source revokes. Watch the revocation walk the binding to every artifact that touched the data, remediate each one, and emit a self-authenticating certificate that a court, insurer, or regulator would consume.
The companion to attested.supertruth.ai, which proves the substrate. This proves what the substrate makes possible: revocation that actually propagates.
Why revocation is the whole story
Today, when data has to come out of an AI system, there is no clean way to do it. A patient withdraws consent. A dataset turns out to be poisoned. A court orders something removed. But the data was already absorbed into the model's weights, copied into fine-tunes, distilled into smaller models, and cached inside agents. Nobody can say which models touched it, and nobody can pull it back. The door only opens one way.
This demonstration shows the way back. If every grant of data is cryptographically bound to the artifact that consumed it, and every binding is written to a shared ledger from the very first grant, then revocation becomes a lookup. The ledger names every downstream model, fine-tune, distillation, and agent that touched the data, and the system remediates each one, leaving a certificate a court or regulator can verify without trusting anyone.
You cannot bolt this on later. It only works if the ledger was there from the first grant. That is why this is a coalition of patents, not a feature a competitor can copy.
One stack · each layer works because the one under it exists
Four patented layers compose into a single lifecycle system. This demonstration is Layer 3 in action. Everything rests on the substrate ledger, and the ledger is what makes revocation possible.
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Attested Baseline Technical Appendix · 18 theorems
The proof. Establishes that the ordering holds, the attribution is
sound, and the verifier cannot cheat, down to three named assumptions. Proven live at
attested.supertruth.ai.
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MLIF — this filing You are here Present provisional
The connective tissue. Binds fractional-grant mechanics to the things
AI actually does: training, persistent memory, agent context, embodied sensors. The
fractional grant is the hammer, behavioral integrity is the mirror, cryptographic
binding is the scalpel. Revocation lives here.
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DTI + BII SuperTruth provisionals
The two scoring primitives. DTI scores the data on eight dimensions
before anything is granted. BII watches behavior at runtime and emits an
integrity signal. One scores the data, one scores the behavior.
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PSSS US 12,088,541 · Kheit
The mechanical floor. How to release something in measured pieces,
route it, apportion it, and record who got what against a ledger. It says nothing about
AI; it establishes the fractional-release machinery everything above depends on.
The substrate ledger — tamper-evident, causally ordered,
append-only. Every grant, consumption, revocation, and intervention is written here. Not a
separate product. The ground every layer stands on, and the reason a fraction can be
pulled back from everything it touched.
Choose the scenario
About a minute. Real cryptography, live.
STAGE 1GrantDTI-scored corpus, a fractional grant created and anchored.
STAGE 2BindAn artifact consumes it; a signed binding receipt is recorded.
STAGE 3RevokeThe fraction is revoked; the ledger and graph are walked.
STAGE 4RemediateScoped intervention on each artifact; a certificate per artifact.
Findings
Ledger events
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grant, bind, revoke, remediate, certify
Ledger integrity
…
hash chain recomputed in browser
The bundle re-checks the whole chain, every signature, and every certificate on your
own machine with a standalone script. No trust in this server required.
The substrate ledger
| Seq | Logical t | Event | Entry hash |
|---|
