UNDAMENTAL
Research

Articles and technical notes

Research articles develop arguments and syntheses across fields. Technical notes work through a bounded question: what works, and under which assumptions. Both can contain live demonstrations. Each claim and figure carries a provenance label, saying where it comes from and how far it has been tested; publication status, draft or published, is shown separately.

Provenance Illustration shows how something works Simulation a stated model, run live Estimate calculated from stated assumptions Cited external published research Hypothesis proposed, not yet tested

Provenance says where a claim comes from. Status, draft or version, belongs to the whole piece and is shown separately, so a draft can contain cited findings, an original simulation and an untested hypothesis without confusing their authority.

  1. Research articleStatus: draft, version 0.9519 October 2026

    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.

    4 live simulations, including a comparative experiment · Code and results published · 11 references · Hypotheses marked · Expands manifesto section 02

  2. Technical noteStatus: version 118 October 2026

    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.

    2 simulations, 1 estimate · 2 tables · 3 references · Expands manifesto section 05

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.