docs: count SDIL neutral reads in scaling cost

1 files changed, 5 insertions, 1 deletions

diff --git a/CLLN_SCALING.md b/CLLN_SCALING.md
index 3e14dbd..be98543 100644
--- a/CLLN_SCALING.md
+++ b/CLLN_SCALING.md
@@ -57,6 +57,9 @@ diagnostics.
 - fraction of task/device pairs reaching zero classification error;
 - restricted epochs and local updates to zero error, assigning the experiment
   horizon to runs that do not reach the target;
+- local teaching-signal reads to zero error, counting both the task-period
+  edge signal and every SDIL neutral edge signal; SDIL therefore pays two
+  local scalar reads per updated edge in this ladder;
 - learning-curve area for classification error;
 - wall time and neutral observations as implementation costs.
 
@@ -71,6 +74,8 @@ change. The headline wording is selected from the observed sign:
 
 - lower resource exponent: “SDIL reduces the updates-to-target scaling
   exponent by X%”;
+- lower resource count without a resolved exponent change: “SDIL uses X%
+  fewer local teaching-signal reads at N edges”;
 - lower error-growth exponent: “SDIL reduces imperfection-induced error growth
   with network size by X%”;
 - overlapping interval: report no resolved scaling-rate difference.
@@ -92,4 +97,3 @@ as independent confirmations.
 5. The scaling conclusion is computed from all frozen sizes and task clusters,
    including failed runs.
 6. Hardware-realistic claims use Part 3 only.
-