How are the science of generation and the science of being related?
As concepts, generation and being arise mutually and symmetrically. As systems, the relation is a containment asymmetry: the science of being is the degenerate projection of the science of generation at ι→1, complete within its domain and able to stand as a book of its own.
Are the two sciences “yin and yang”?
For the pair of concepts, yes. For the two systems it is only a teaching metaphor, and the level must be stated when it is first used.
Are set theory and category theory wrong?
No. They are degenerate cases, complete and consistent within their own domains. To fault the science of being for not handling circular structures is to misunderstand it.
Is the world νF?
No. The circular self-nesting structure of the world is characterised formally by νF; νF is one appearance of the Dao, not the Dao itself.
Have large language models proven the science of generation?
No. LLMs are a bridge that makes the boundary observable (interpretive); the DualTrack measurements are both positive and negative.
Can it be applied to medicine, economics or genetics?
Cross-domain applications are tools for structural analysis that do not replace the methods of each field; the monetary model is not investment advice.
Can a claim’s tier change?
Yes. Tiers rise and fall with the evidence, and every change is recorded in the public tier change log.
Does it explain consciousness or the origin of life?
No. These problems are in the outer ring of the problem map: there is no cut into them that independent parties could test within five years, so no claims are made about them.
Does Xuanji Chengshi guarantee success?
No. The precise statement is “realisation is necessary, identification is probable”: once a rotor has been correctly identified, closed and pushed past its ignition threshold, its self-sustainment is determinate (a structural inference within the model); but inferring the rotor from a goal is an inverse problem, so the result is probabilistic. The verdict has three values: achievable, needs adjusting, not achievable now. (This wording awaits the author’s review.)
Was this written by AI?
Most of the framework was built by one author working with AI; the author and the Reasoning Research Institute sign it and are responsible for it. Because the errors of author and AI are not independent, verification here is distributed to machine checking, pre-registered measurement and independent human review — see the editorial policy.