09·R

Resonance Field

GRADE—% OF PRECEDENCE—NO FRAME
precedence ceiling—confidence0.0%
κκ = 2
Immutable constant
P = κ(n ± I) · n —, I —
fixed
ρ0.000
Fourier alignment
τ = 0.55 · D_R —
pending
β0.0%
Bayesian posterior
P(H_res | E) across stored evidence
pending
ΔQ—
Quadratic equivalent
not evaluated
pending

The ring is the detected resonation graded against the precedence percentage: grade = precedence % × ρ, so it never exceeds the precedence ceiling (the dashed inner arc). κ = 2 is fixed and cannot be tuned; ρ, β and ΔQ are read as they are. If any one of them fails, the field is drawn dashed and unconfirmed — agreement is never implied by the drawing.

09

Intent Classification

—hypothesis
confidence0.0%
uncertainty (½ CI width)±0.0%
  • no frame classified
≠

Measured vs inferred

measured
  • disp — px
  • dir —
  • Δ —
  • μ —
inferred
  • intent —
  • conf 0%
  • P(H|E) 0%
  • polarity —

A camera observation records geometry and light. Intent is an inference laid over those measurements by this model — it is not an observation of anyone's actual intentions.

10

Spatial Output

0
spatial
position x
0%
position y
0%
displacement
—
direction
—
movement
—
resonance
—
confidence
0%
polarity
—
spatial scaling

⇅

Spatial range

Weighting: 55% resonance alignment, 25% normalized displacement, 20% Bayesian confidence.

∂

Decision storage

decision → mapping

no decisions stored

stored decisions
  • nothing recorded yet

Every evaluated frame is written to local storage as a decision with its mapping and grade. The field above reads these back; it never re-derives a decision of its own.

≡

Trace identifiers

frame
—
source
—
latency
—
n / m
—
ΔQ
—
D_R
—
limit
—
validation
—