The Observation Theory EncyclopediaFrom TSKAboutBy kindBy chapterBy Lean fileLedgerProvenance

licensed, not licensed concept

DefinitionA claim is licensed when it is a theorem checked in Lean in appendix C, or a measurement sealed with its commit hash before the run that survived its registered null and bar, and a chapter may rest on it. A claim is not licensed when it is exploratory, a retrospective fit, a single seed, or posited, and a chapter may mention it and not lean on it. How to use this book, and chapter 8 section 8.10. Also not licensed.
ExampleThe flip across twelve domains is licensed, sealed and survived its bars; the alignment law’s retrospective fit is not licensed, since it is an exploratory row.
BookData Mining as Observation, draft 0.2, commit f3914f0; entry id licensed, kind concept.
Statusno ledger row names this entry. Corrections: none recorded.
Defining equationnone
Assumptions and scope
  • A claim is licensed when it is a theorem checked in Lean, or a measurement sealed with its commit hash before the run that survived its registered null and bar, so that a changed digest would prove a changed prediction and the bar discriminated the system from the null. A chapter may rest its thesis on a licensed claim.
  • A claim is not licensed when it is exploratory, a retrospective fit, a single seed, or posited, and a chapter may mention it and may not lean on it. The classes between, demonstrated, replicated, and predicted, are defined in chapter 8, and a row of the table names which one each claim carries.
Prior artnone recorded
Evidencelean/DataMiningAsObservation/Bar.lean, lean/DataMiningAsObservation/Seal.lean
Reviewedsemantic review 2026-09-06; generated 2026-09-10 from records at the commits on the provenance page.
00.51statisticnullsystembar
A claim is licensed when it was sealed before the run and its bar separated it from the null.

Equation

none

Conditions

Conditions are curated in entries.toml rather than read from a record.

Ledger

none

First stated

The table in how to use this book, and chapter 8 section 8.10 of Data Mining as Observation, with the six classes in geometric-observation/PROTOCOL.md:58-75.

Measurements

none

Failures and corrections

none

Invariance envelope

none declared

Machine checked

lean/DataMiningAsObservation/Bar.lean, theorems passes_anti, passes_mono, discriminates_iff, no_bar_of_null_ge, exists_bar_of_lt, vacuous_of_null_passes, at observation-data-mining f3914f0; what the check covers is stated in the book’s appendix C.

lean/DataMiningAsObservation/Seal.lean, theorems changed_of_hash_ne, hash_eq_of_eq, exists_collision, at observation-data-mining f3914f0; what the check covers is stated in the book’s appendix C.

Used in

none

Related

ledger class; sealed; bar; posited versus measured; registered.

See also

Book equations stated beside the entry’s terms, not defining it: 8.3.

Ledger rows that cite the entry’s records without naming it: OT-11, GO-2 (neg. half: not reconstruction).

Sources-table rows that share a record with the entry without naming it: chapter 1 section 1.5, chapter 8 section 8.10.

Status

Generated 2026-09-10 by encyclopedia/generate.py; book at observation-data-mining f3914f0; the commit of every record is listed in the encyclopedia’s provenance.

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