diff --git a/internal/db/dbq/recommendation.sql.go b/internal/db/dbq/recommendation.sql.go
index cf1bd09b..443fc375 100644
--- a/internal/db/dbq/recommendation.sql.go
+++ b/internal/db/dbq/recommendation.sql.go
@@ -1022,22 +1022,6 @@ func (q *Queries) LoadRadioCandidatesV2(ctx context.Context, arg LoadRadioCandid
 }
 
 const suggestArtistsForUser = `-- name: SuggestArtistsForUser :many
--- Per-user artist suggestions ranked by taste signal x similarity, projected
--- through artist_similarity_unmatched (out-of-library candidates only).
---
--- Seeds are TIERED (rule #131) so the surface never empties:
---   tier 1 - taste_profile_artists.weight: engagement-graded, time-decayed and
---            SIGNED by internal/taste, so an artist the user has drifted away
---            from stops contributing instead of accumulating forever.
---   tier 2 - likes + completed plays, used ONLY when the profile has no rows
---            (new account, or before the first daily recompute).
---
--- The signal is log-damped: contribution is signal x similarity, and the old
--- undamped sum let one heavily-played artist's neighbours take every slot --
--- entrenching harder the MORE the user listened (issue #2367 mechanism 2).
---
--- Candidates already in the library, or already requested and not terminal,
--- are excluded. $1=user_id, $2=half_life_days (tier 2 decay), $3=limit.
 WITH artist_plays AS (
     -- Completed plays only. The previous seed query counted every play_event,
     -- so skipping an artist repeatedly INCREASED its signal and pushed more of
@@ -1128,13 +1112,23 @@ type SuggestArtistsForUserRow struct {
 	TopPlayCounts    []int64
 }
 
-// M5c: per-user artist suggestions ranked by signal x similarity. The
-// seeds CTE collects the user's likes (x5) plus recency-decayed plays
-// (exp(-age_days / $2)). The contributions CTE joins those seeds against
-// artist_similarity_unmatched and filters out candidates already in
-// library or already in a non-terminal lidarr_request. The outer SELECT
-// aggregates per candidate, returning the top-3 contributing seeds for
-// attribution. $1=user_id, $2=half_life_days, $3=limit.
+// Per-user artist suggestions ranked by taste signal x similarity, projected
+// through artist_similarity_unmatched (out-of-library candidates only).
+//
+// Seeds are TIERED (rule #131) so the surface never empties:
+//
+//	tier 1 - taste_profile_artists.weight: engagement-graded, time-decayed and
+//	         SIGNED by internal/taste, so an artist the user has drifted away
+//	         from stops contributing instead of accumulating forever.
+//	tier 2 - likes + completed plays, used ONLY when the profile has no rows
+//	         (new account, or before the first daily recompute).
+//
+// The signal is log-damped: contribution is signal x similarity, and the old
+// undamped sum let one heavily-played artist's neighbours take every slot --
+// entrenching harder the MORE the user listened (issue #2367 mechanism 2).
+//
+// Candidates already in the library, or already requested and not terminal,
+// are excluded. $1=user_id, $2=half_life_days (tier 2 decay), $3=limit.
 func (q *Queries) SuggestArtistsForUser(ctx context.Context, arg SuggestArtistsForUserParams) ([]SuggestArtistsForUserRow, error) {
 	rows, err := q.db.Query(ctx, suggestArtistsForUser, arg.UserID, arg.Column2, arg.Limit)
 	if err != nil {