Hardware-secured system for evidence-governed ai output generation with time-aligned semantic unit validation

A computer-implemented method for governing outputs generated by a language model in a hardware-secured system, the method comprising:

• (a) receiving an input prompt at a secure computing node coupled to a hardware timing subsystem comprising at least one of a precision time protocol (PTP) clock, a global positioning system (GPS) receiver, or an inertial measurement unit (IMU);
• (b) causing a first transformer-based language model to generate a candidate text output containing at least one machine-identified proposition;
• (c) assigning a proposition timestamp to the machine-identified proposition using a hardware-derived time signal from the hardware timing subsystem;
• (d) segmenting the machine-identified proposition into a sequence of semantic units according to a constrained semantic grammar;
• (e) retrieving a plurality of evidence items, wherein each evidence item is associated with a hardware-derived timestamp, and discarding any evidence item having a hardware-derived timestamp that violates a configured skew bound relative to the proposition timestamp;
• (f) generating an adversarial challenge output by providing the machine-identified proposition and exclusively the remaining skew-compliant evidence items to a second transformer-based language model instance that is architecturally isolated from the first transformer-based language model;
• (g) assigning a state to each semantic unit in the sequence based on the adversarial challenge output and an evidence weight of the remaining skew-compliant evidence items;
• and
• (h) constructing a governed text output by:
• (i) preserving a subsequence of tokens from the machine-identified proposition that correspond to semantic units assigned a first state;
• and
• (ii) omitting tokens mapped exclusively to semantic units assigned a second state;
• (iii) wherein the governed text output contains no new tokens not present in the candidate text output.