propositionnovelstructure_uncertain
Full lifts detect the leaf symbol
Full lifts at depth detect the leaf noise with probability ≥ 1/4
gives the detection property of the latent gadget
Proposition·
prop:latent-full-lift-detection·§3.4 Linear lifts and loss of rankStatement (paper)
Set
Every full lift on detects with probability at least :
In plain English
Taking depth , every full lift on detects with probability at least , meaning that with that probability some has .
Why it's here
This is the quantitative detection guarantee that the latent alphabet gadget relies on. The proof tracks harmonic rank down the path: the fresh-isomorphism claim and the per-level drop bound give an expected loss of at most per level. Over levels the rank survives with probability at least , and a surviving leaf is detected with probability at least , which gives .
Classified novel:
This is the paper's own quantitative detection guarantee for the latent alphabet gadget, obtained by tracking harmonic rank along the path with a per-level expected loss of at most . It concerns objects defined in this paper (full lifts, the leaf symbol , harmonic rank), so no prior result covers it directly.
Uses
Nothing else in the paper
Used by
Inside the proof
Sources
PaperOpen
- Section
- §3.4 Linear lifts and loss of rank
- Page
- —
- Label
prop:latent-full-lift-detection- Line
sections/02-latent.tex:534
Leannot aligned
Phase 2 aligns this node to a Lean declaration.
Friction
- infostructure_uncertainThe base detection bound (eq. latent-base-detection) deriving from this proposition is argued in running text (lines 639-654) outside any proof environment, then used in the proof of lem:latent.