Self-reported logs are not enough
Dashboards and internal audit trails help operators, but a serious reviewer needs evidence that can survive outside the system being challenged.
Evidence independenceG‑14 Research
G‑14 research starts from one evidence problem: when autonomous AI action, communication, or scientific reconstruction is challenged, the reviewer needs more than the system account of what happened.
Dashboards and internal audit trails help operators, but a serious reviewer needs evidence that can survive outside the system being challenged.
Evidence independenceWhen agent collectives reconstruct evidence or exchange scientific claims, the communication path needs proceed, repair, reject, and witness states.
Semantic receiptsTool calls, data writes, deployments, robot commands, workflow approvals, and scientific reliance need evidence at runtime, not only after-the-fact review.
Runtime admissionTargetLock checks robot action before effect. The same external control model checks enterprise actions and agent-derived conclusions before release or reliance.
Cross-domain controlThe verifier should bind the proposal, evidence, repair path, decision, and outcome boundary.
The record has to be useful to customers, auditors, insurers, regulators, operators, and incident responders.
Each packet states what its evidence supports, which checks ran, and what remains outside the verified boundary.
Agentic systems now call APIs, write data, trigger workflows, move machines, and shape scientific reliance.
What the research enables
Bind each decision to its policy, evidence, repair path, and outcome so a reviewer can reproduce the check without trusting the system that made the decision.
Evaluation path
Start with the evidence problem, inspect the proof model, then choose one action or communication path where a receipt has to survive outside the UI.