Speed up rectification scoring without changing results.

Cache work that depends only on the candidate minute, drop unread response fields, and reject windows above 241 candidates before any chart is built. Eleven canonical scenario hashes match 77057a819. Sealed and reported-offset replays match the 2026-10-08 records (changed_trial_count 8 and 581) and are stored as scoring_perf_2026_10_13.

Co-Authored-By: Grok (agent loop)

scripts/rectification/event_probes.py

@@ -814,6 +814,7 @@ def _score_year(
         vimshottari=vimshottari,
         narayana=narayana,
         arudha_padas=context.get("arudha_padas") or {},
+        functional=context.get("functional_profile"),
     )
 
 
@@ -1913,8 +1914,12 @@ def guided_collect_windows(
             vim_cache=vim_cache,
             narayana_cache=narayana_cache,
         )
+    # BUG-1323: gathered depends only on (track, boundary index). Prefetch once
+    # per candidate and skip a boundary after the one==two check has passed.
+    work_tracks = [starts_by_time.get(_context_time(context) or "") or {} for context in work]
     rows: list[dict[str, Any]] = []
     seen: set[tuple[int, int, int, str]] = set()
+    done: set[tuple[str, int]] = set()
     for left, right in _representative_pairs(work):
         left_time = str(_context_time(left) or "")
         right_time = str(_context_time(right) or "")
@@ -1928,10 +1933,12 @@ def guided_collect_windows(
             for index, (one, two) in enumerate(zip(left_dates, right_dates)):
                 if one == two:
                     continue
+                if (track, index) in done:
+                    continue
+                done.add((track, index))
                 gathered: list[date] = []
-                for context in work:
-                    time = _context_time(context)
-                    dates = (starts_by_time.get(time or "") or {}).get(track) or []
+                for tracks in work_tracks:
+                    dates = tracks.get(track) or []
                     if index < len(dates):
                         gathered.append(dates[index])
                 if len(gathered) < 2 or min(gathered) == max(gathered):