UNDAMENTALProvenance says where a claim comes from. The version belongs to the whole piece and is shown separately, so one piece can contain cited findings, an original simulation and an untested hypothesis without confusing their authority. A new version is issued only for a major revision, with a note on what changed and why.
-
What Formula 1 knows about measurement
Formula 1 writes the cost of learning into its rules, so deciding what to measure becomes part of engineering the car. Three purposes of a sensor, the measurement loop at four speeds, model correlation, and the FIA's testing allowances; a live simulation of a testing budget spent four ways; where industry's longer horizon changes the answer; and a proposed experiment on a thermal-fluid rig.
-
From an epoch of measure and thought to integrated perceptual intelligence
For four centuries, knowing the world has meant keeping observation, interpretation and action apart. Why measurement is not perception, how cognition spreads across people, instruments and procedures, how many partial views coordinate, and why science as a separate category may not outlast the coming century. A forecast, with the research it draws on.
-
Noise is signal
What a measurement can contain, what can be recovered from it, and where recovery stops. Four kinds of noise; weak signals and shared noise; separation by form and by geometry; rebuilding a system's state from one time series; the information-theoretic ceiling; and how to design an observation system before the questions are known, with a comparative experiment in which the questions arrive after the design, rerun on 200 fresh worlds under six changes of assumption.
-
Cost, counted both ways
Diagnosis, discovery and a live model: what each needs from data, and how to pay for all three within today's storage budget. Adaptive capture of existing streams, folding converters after Bhandari, per-modality budgets, and a randomised storage schedule with its limits.
Nothing in this library is yet a result from a deployment. Simulations show what published methods do under stated assumptions; hypotheses are labelled as such.