Lane Vector: signal direction, rate, and source structure
Projection onto an outcome, rate and acceleration with their noise, what the angle between texts carries, and dependence among origins. Each section ends in plain terms.
Publications
Research whitepapers by Michael Brandon Lane, InTellMe AI. Edition 5 October 2026.
In plain terms
Four papers: the signal arithmetic, the decision procedure, a plain-language overview, and the validation plan. Each states what would prove it wrong.
TruVector: source dependence and decisions from model readings
The reading step, the origin discount, the decision rule, six worked cases scored both ways, the first comparison on 60 statements, and eight research directions with the result that would disprove each.
Lane Vector and TruVector: the research in plain language
Written for a reader with no background: the problem, the three questions a count cannot answer, what has been measured, and what is measured next.
Lane Vector and TruVector validation framework
How each measurement is made, what passing means, and what is recorded so that someone else can repeat it.
TruVector: counting shared words against reading meaning
Study TV-001: 300 statements with sourced labels, four readers, one set of stored replies scored two ways. The plan was written down before any reply was collected; the full tables, the negation pairs and the reason-pair scores, with what the study does not show.