PREREG_flat_exp_limit outcome: ACCEPTED (server numbers equal to the smoke in every projection cell; 0 violations in the guaranteed family).

Translation limit of the analogy (f shrank, x-scale did not -> m = inf):
  defect + remembered + point + exp        APS 2531  CHA 1972  both 4503
  G2 + defect + remembered + point + exp   APS 2588  CHA 1997  both 4585
  G2 + contra + remembered + point + exp   APS 2773  CHA 2073  both 4846
  Chandrupatla                             APS 2787  CHA 2441  both 5228
Per problem against Chandrupatla now SIGNIFICANT ON BOTH SETS: G2+contra+rem+pt+exp APS 98/18/37 p=1.5e-7, CHA 28/3/9 p=0.0026; defect+rem+pt+exp APS 86/20/47 p=9e-4, CHA 27/3/10 p=0.0076.
NOT where predicted: fun9 only -1..-3; the gain is on the flat families (x^9 177 -> 161, x^19 339 -> 167).
Server regression x2: 1179 passed, 1 failed = the paper-number check.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>

table_wins_losses.py

@@ -23,6 +23,7 @@ def main():
     full = load("sweep_full.json")
     dc = load("sweep_defcontra.json")
     op = load("sweep_orderpt.json")
+    ex = load("sweep_explimit.json")
     rivals = {"Chandrupatla": full["chandrupatla"], "Brent": full["brent"],
               "TOMS748": full["toms748"]}
     ours = {
@@ -34,6 +35,8 @@ def main():
         "+ G2 + analogy + ORDER POINT": op["pure+extP+flatanalogpt.ratio.derived3.project"],
         "+ G2 + contra + rem. + ORDER PT": op["pure+extP+contra+flatanalogmempt.ratio.derived3.project"],
         "+ defect + rem. + ORDER POINT": op["defect+flatanalogmempt.ratio.derived3.project"],
+        "+ G2 + contra + rem. + pt + EXP": ex["pure+extP+contra+flatanalogmempt+exp.ratio.derived3.project"],
+        "+ defect + rem. + pt + EXP": ex["defect+flatanalogmempt+exp.ratio.derived3.project"],
     }
     print("TOTALS (evaluations of f, failures charged 200)")
     print(f"  {'method':<32} {'APS':>6} {'CHA':>6} {'both':>6}")