diff --git a/docs/src/perf/strength.md b/docs/src/perf/strength.md
index 39b9fc2..c6f76f3 100644
--- a/docs/src/perf/strength.md
+++ b/docs/src/perf/strength.md
@@ -1,34 +1,24 @@
 # Strength
-## Simulation environment
-The simulation uses a 1v3 duplicate mahjong setting as follows
+## Simulation setup
+The simulation employs a 1v3 duplicate mahjong setup, which is organized as follows:
 
-| Table | East start | South start | West start | North start |
+| Game in Set | East at Game Start | South at Game Start | West at Game Start | North at Game Start |
 |:---:|:---:|:---:|:---:|:---:|
 | 1 | Challenger | Champion | Champion | Champion |
 | 2 | Champion | Challenger | Champion | Champion |
 | 3 | Champion | Champion | Challenger | Champion |
 | 4 | Champion | Champion | Champion | Challenger |
 
-In this setting, every 4 games are initialized with same random seed. The emulator guarantees that with the same (seed, kyoku, honba) tuple, the yama, haipai, dora/ura indicators and rinshan tiles are deterministic and reproducible.
+In this configuration, each set of 4 games initialize with the same random seed. The emulator ensures that given the same `(seed, kyoku, honba)` combination, the walls, initial hands, dora/ura indicators, and rinshan tiles are deterministic and reproducible.
 
 The emulator is implemented in [`libriichi::arena`](https://github.com/Equim-chan/Mortal/tree/main/libriichi/src/arena).
 
-The "rank pt" in all the tables are calculated using a distribution of [90, 45, 0, -135].
+The "rank pt" in all the tables are calculated using the distribution [90, 45, 0, -135].
 
-The name of the <span class="best-model">current best model</span> is highlighted.
+The name of the current <span class="best-model">best model</span> will be highlighted.
 
-### Seed
-The seed often used in the following experiments, 0xd5dfaa4cef265cd7, is derived from the first 8 bytes of the SHA-256 hash of `Mortal the mahjong AI`.
-
-## Aliases
-| Model tag | Alias |
-|---|---|
-| mortal1-b40c192-t22040618 | "1.0" |
-| mortal2-b75c256-t22100115 | "2.0" |
-| mortal2-b75c256-t22092920 | "2.1" |
-| mortal3-b24c512-t22121413 | "3.0" |
-| mortal3-b24c512-t22122709 | "3.1" |
-| mortal4-b24c512-t23102603 | <span class="best-model">"4.0"</span> |
+### Random seed
+The random seed often used in the following experiments, 0xd5dfaa4cef265cd7, is derived from the first 8 bytes of the SHA-256 hash of the string `Mortal the mahjong AI`.
 
 ## Mortal vs akochan (jun_pt = [90, 45, 0, -135])
 Challenger is akochan and Champion is Mortal.
diff --git a/libriichi/src/arena/one_vs_three.rs b/libriichi/src/arena/one_vs_three.rs
index 486e1e7..8c5dd20 100644
--- a/libriichi/src/arena/one_vs_three.rs
+++ b/libriichi/src/arena/one_vs_three.rs
@@ -129,7 +129,7 @@ impl OneVsThree {
         }
 
         log::info!(
-            "seed: [{}, {}) w/ {:#x}, start {} groups, {} hanchans",
+            "seed: [{}, {}) w/ {:#x}, start {} sets, {} hanchans",
             seed_start.0,
             seed_start.0 + seed_count,
             seed_start.1,
diff --git a/libriichi/src/arena/two_vs_two.rs b/libriichi/src/arena/two_vs_two.rs
index 827f725..af9335f 100644
--- a/libriichi/src/arena/two_vs_two.rs
+++ b/libriichi/src/arena/two_vs_two.rs
@@ -126,7 +126,7 @@ impl TwoVsTwo {
         }
 
         log::info!(
-            "seed: [{}, {}) w/ {:#x}, start {} groups, {} hanchans",
+            "seed: [{}, {}) w/ {:#x}, start {} sets, {} hanchans",
             seed_start.0,
             seed_start.0 + seed_count,
             seed_start.1,
diff --git a/mortal/mortal.py b/mortal/mortal.py
index c64df68..fccd3af 100644
--- a/mortal/mortal.py
+++ b/mortal/mortal.py
@@ -32,8 +32,11 @@ def main():
     version = cfg['control'].get('version', 1)
     num_blocks = cfg['resnet']['num_blocks']
     conv_channels = cfg['resnet']['conv_channels']
-    time = datetime.fromtimestamp(state['timestamp'], tz=timezone.utc).strftime('%y%m%d%H')
-    tag = f'mortal{version}-b{num_blocks}c{conv_channels}-t{time}'
+    if 'tag' in state:
+        tag = state['tag']
+    else:
+        time = datetime.fromtimestamp(state['timestamp'], tz=timezone.utc).strftime('%y%m%d%H')
+        tag = f'mortal{version}-b{num_blocks}c{conv_channels}-t{time}'
 
     mortal = Brain(version=version, num_blocks=num_blocks, conv_channels=conv_channels).eval()
     dqn = DQN(version=version).eval()