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planted instrument

DefinitionOf a case, built so that the answer is known before the instrument reads it, such as an affine consumer whose read operator is its weight vector's outer product. Chapter 6 section 6.2.
ExampleAn affine consumer with weight vector (3, 4) has read operator proportional to the matrix with rows (9, 12) and (12, 16), which the probe must recover.
BookData Mining as Observation, draft 0.2, commit f3914f0; entry id planted, kind instrument.
Statusno ledger row names this entry. Corrections: none recorded.
Defining equationnone
Assumptions and scope
  • Of a case, built so that the answer is known before the instrument reads it. An affine consumer has a known read operator, the outer product of its weight vector, so a probe that recovers it has been tested against a truth.
  • The planted probe recovered the read subspace at overlap 0.936 against chance 0.059, twelve of twelve, and the real model then missed its bar at 0.567 against 0.60, which is the order the book keeps.
Prior artnone recorded
Evidencegeometric-observation/claims/LEDGER.md, lean/DataMiningAsObservation/ReadOperator.lean, lean/DataMiningAsObservation/ProbeCliff.lean
Reviewednot yet reviewed; generated 2026-09-10 from records at the commits on the provenance page.
first codereaderfirst codesame trace
A case whose answer is known before the instrument reads it.

Equation

none

Conditions

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

Ledger

none

First stated

Chapter 6 section 6.2 of Data Mining as Observation, with the planted probe in geometric-observation/claims/LEDGER.md row GO-1.

Measurements

Where the book states it Numbers, as the book’s sources table records them Source
chapter 6 section 6.2 planted probe, overlap 0.936 vs 0.059, twelve of twelve, reconstruction 0.40, five of five geometric-observation/claims/LEDGER.md row GO-1

Failures and corrections

none

Invariance envelope

none declared

Machine checked

lean/DataMiningAsObservation/ReadOperator.lean, theorems rank_one_reads_one_direction, readOp_mulVec, quad_readOp, quad_readOp_nonneg, readOp_mulVec_eq_zero_iff, readOp_diag, readOp_offdiag, readOp_symm, readOp_neg, affine_const_along_nuisance, readOp_affine, readOp_sqLength_basis, at observation-data-mining f3914f0; what the check covers is stated in the book’s appendix C.

lean/DataMiningAsObservation/ProbeCliff.lean, theorems centralDiff_affine, centralDiff_basis, exists_blind_direction, indistinguishable, budget_cliff, at observation-data-mining f3914f0; what the check covers is stated in the book’s appendix C.

Used in

Data Mining as Observation chapters 3, 6, 8, 11.

Related

blind probe; read operator; control; budget cliff.

See also

Book equations stated beside the entry’s terms, not defining it: 0.9, 6.1, 11.4.

Ledger rows that cite the entry’s records without naming it: GO-1, NEG-12.

Sources-table rows that share a record with the entry without naming it: chapter 11 section 11.7.

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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