diff --git a/man/toInteger.Rd b/man/toInteger.Rd
index 3ac2bfe6..425b4719 100644
--- a/man/toInteger.Rd
+++ b/man/toInteger.Rd
@@ -54,30 +54,24 @@ For 3:2 randomization, \code{ratio = 4} would ensure rounding sample size
 to a multiple of 5.
 
 For a \code{gsSurv} object, \code{x$n.I} is an event-count schedule.
-\code{toInteger()} first converts each planned event count to an integer.
-Interim event counts are rounded to the nearest integer. The final event
-count is rounded up when \code{roundUpFinal = TRUE}; otherwise, it is rounded
-to the nearest integer. Values within 0.01 of an integer are rounded to that
-integer. Counts are constrained to be positive and strictly increasing. The
-group sequential boundaries and spending are then recomputed with
-\code{gsDesign()} at the integer event counts.
+\code{toInteger()} rounds the final planned event count (up when
+\code{roundUpFinal = TRUE}; otherwise to nearest integer, with a 0.01
+tolerance), then derives interim integer event targets from
+\code{x$timing * final_events}. Interim counts are constrained to be positive
+and strictly increasing. Group sequential boundaries and spending are
+recomputed with \code{gsDesign()} at the integer event counts.
 
-Total sample size for a survival design is handled separately. The final
-expected total enrollment is rounded to a multiple of \code{ratio + 1},
-rounded up when \code{roundUpFinal = TRUE} and rounded to the nearest such
-multiple otherwise. Enrollment rates are scaled to achieve that rounded total
-over the original calendar plan, and final and interim analysis times are
-recalculated to match the integer event targets.
+Total sample size for a survival design is then updated under a fixed
+calendar plan (same enrollment periods, study duration, and minimum
+follow-up). Enrollment rates are scaled proportionally to the final-event
+inflation factor and rounded to the nearest allocation multiple
+\code{ratio + 1} (or rounded up when \code{roundUpFinal = TRUE}), with
+additional allocation-step adjustment only if needed to make the integer
+final event target achievable.
 
-In seasonal or otherwise piecewise survival designs, the independently
-rounded final sample size from this usual rule can make the final integer event target
-unattainable. If the rounded sample size is too small to ever reach the event
-target, \code{toInteger()} increases the sample size by allocation multiples.
-If the rounded sample size already implies more expected events than a lower
-event target at the earliest feasible final analysis, \code{toInteger()}
-reduces the sample size by allocation multiples. Either adjustment issues a
-warning. Designs where the initially rounded sample size already supports the
-integer event target retain the previous behavior.
+If fixed-calendar enrollment-rate inflation cannot make the integer final
+event target feasible, \code{toInteger()} falls back to a variable-duration
+solve and issues a warning.
 For a complete seasonal exact-binomial monitoring workflow, see
 \code{vignette("MultiSeasonRareEvents", package = "gsDesign")}.