description
stringlengths
9
136
template_id
stringclasses
55 values
template_parameters
stringlengths
2
132
component_families
stringclasses
17 values
split_type
stringclasses
2 values
semantic_features
stringclasses
144 values
history_depth
int64
0
16
period_or_chunk_length
int64
0
12
branch_count
int64
0
4
attribute_cardinality
int64
0
24
ast_nodes
int64
13
91
acceptance_rate
float64
0.08
0.92
acceptance_entropy
float64
0.39
1
signature_hash
stringlengths
64
64
designed_level
int64
0
10
frontier_solve_rate
float64
-1
-1
mean_reward
float64
-1
-1
difficulty_band
stringclasses
1 value
calibration_model_panel
stringclasses
1 value
dataset_version
stringclasses
1 value
rule_id
stringlengths
14
70
label
stringlengths
9
136
family
stringclasses
13 values
code
stringlengths
21
256
protocol_version
stringclasses
1 value
calibration_objective
stringclasses
1 value
calibration_horizon
int64
100
100
legacy_horizon
int64
30
30
complexity_tier
int64
complexity_axis
stringclasses
0 values
complexity_tier_label
stringclasses
0 values
calibration_iteration
stringclasses
0 values
is_incumbent_v20
bool
0 classes
is_v21_interpolation
bool
0 classes
sol_reward
float64
sol_solved
float64
sol_turns
float64
gemini_evidence
stringclasses
0 values
gemini_reward
float64
gemini_solved
float64
gemini_turns
float64
gemini_censor_turn
int64
gemini_censor_type
stringclasses
0 values
odd ranks
legacy_train
{}
["static_rank"]
legacy_train
{}
0
0
0
0
16
0.538462
0.995727
3234b7c3c944adadebdae4978abd254376bfddf12d8283b633bd7882365053ca
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_rank_odd
odd ranks
static_rank
return card.rank % 2 == 1
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
hearts only
legacy_train
{}
["static_suit_color"]
legacy_train
{}
0
0
0
0
13
0.25
0.811278
b0ccba9c4aca8995864f4b1e9e293b850ff1afa000536d1c565a105184997025
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_suit_hearts
hearts only
static_suit_color
return card.suit == "hearts"
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
black ranks ace through 7
legacy_train
{}
["static_combo"]
legacy_train
{}
0
0
0
0
22
0.269231
0.840359
f79c85e8e50b8a8ee32866c9b534e4541710e4f5bb0a66bfcaec112082c46a43
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_combo_black_low
black ranks ace through 7
static_combo
return card.color == "black" and card.rank <= 7
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
same color as previous card
legacy_train
{}
["previous_card"]
legacy_train
{}
0
0
0
0
28
0.5
1
f8e987bebd21470908a0302e820b4cf7588041e7d5d143ecd13a02cc8947db32
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_seq_same_color
same color as previous card
previous_card
if not mainline: return True return card.color == mainline[-1].color
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
colors appear in pairs and each pair changes color
legacy_train
{}
["pair_position"]
legacy_train
{}
0
0
0
0
56
0.5
1
42106fa1025f6491f388d1b5a34270f7f88667738fb600e1eb0d7471b93d3d4e
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_pair_colors
colors appear in pairs and each pair changes color
pair_position
if not mainline: return True if len(mainline) % 2 == 0: return card.color != mainline[-1].color return card.color == mainline[-1].color
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
ranks ace through 6
legacy_train
{}
["static_rank"]
legacy_train
{}
0
0
0
0
13
0.461538
0.995727
458f450741a1f05c2c404208afa95b5c1a58c938315d8331d0969edb2c4bc5c2
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_rank_low_1_6
ranks ace through 6
static_rank
return card.rank <= 6
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
anything except diamonds
legacy_train
{}
["static_suit_color"]
legacy_train
{}
0
0
0
0
13
0.75
0.811278
e23f167d53ade227893076718eddfce18ffbddf28945d754f7718d31542a6c43
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_suit_no_diamonds
anything except diamonds
static_suit_color
return card.suit != "diamonds"
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
red face cards
legacy_train
{}
["static_combo"]
legacy_train
{}
0
0
0
0
22
0.115385
0.515947
af2835388ce614ac03129c8f47e87481d33ef8bed2c8b74af73f7addaad32778
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_combo_red_face
red face cards
static_combo
return card.color == "red" and card.rank >= 11
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
rank parity appears in pairs and each pair changes parity
legacy_train
{}
["pair_position"]
legacy_train
{}
0
0
0
0
68
0.503539
0.999964
d118ee59cf223516fdacadfcab1445b7e54209ebe43726b156acead9238b63b5
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_pair_parity
rank parity appears in pairs and each pair changes parity
pair_position
if not mainline: return True if len(mainline) % 2 == 0: return (card.rank % 2) != (mainline[-1].rank % 2) return (card.rank % 2) == (mainline[-1].rank % 2)
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
ranks 8 through king
legacy_train
{}
["static_rank"]
legacy_train
{}
0
0
0
0
13
0.461538
0.995727
cb6aaa972f368f7453e4fb7e2a891564e91c073269df66cb025ae2421ad7449f
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_rank_high_8_13
ranks 8 through king
static_rank
return card.rank >= 8
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
black cards
legacy_train
{}
["static_suit_color"]
legacy_train
{}
0
0
0
0
13
0.5
1
326143723d615b2a2fda493155578d3974a83a388fed6a0034f974f9449f8318
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_suit_black
black cards
static_suit_color
return card.color == "black"
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
red odd cards and black even cards
legacy_train
{}
["static_combo"]
legacy_train
{}
0
0
0
0
35
0.5
1
5006276397bba7dff6cc7ea6dd2f8593fdf6f97f1dd2767b95cc7c774fa568be
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_combo_red_odd_black_even
red odd cards and black even cards
static_combo
if card.color == "red": return card.rank % 2 == 1 return card.rank % 2 == 0
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
same suit as previous card
legacy_train
{}
["previous_card"]
legacy_train
{}
0
0
0
0
28
0.25
0.811278
adb95f4b599d2e09af9adc0842605015f09487d1549416084df9e1edb3a509c0
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_seq_same_suit
same suit as previous card
previous_card
if not mainline: return True return card.suit == mainline[-1].suit
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
ranks 4 through 10
legacy_train
{}
["static_rank"]
legacy_train
{}
0
0
0
0
15
0.538462
0.995727
196d1583cee34fc43efbb724eea407122372385283ced9ffc2cd5c999e4b4a77
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_rank_middle_4_10
ranks 4 through 10
static_rank
return 4 <= card.rank <= 10
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
hearts or clubs
legacy_train
{}
["static_suit_color"]
legacy_train
{}
0
0
0
0
15
0.5
1
5a92f6544ea4b8f03f0106eecd2345bad734f57a64d87bc1868458b8ecf47f1d
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_suit_hearts_or_clubs
hearts or clubs
static_suit_color
return card.suit in {"hearts", "clubs"}
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
non-prime ranks
legacy_train
{}
["static_rank"]
legacy_train
{}
0
0
0
0
24
0.538462
0.995727
fc056be41c5916c580f34aaee346e5f3870525d99b3ea84e08edba32cd4f2d76
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_rank_non_prime
non-prime ranks
static_rank
primes = {2, 3, 5, 7, 11, 13} return card.rank not in primes
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
same rank as previous card
legacy_train
{}
["previous_card"]
legacy_train
{}
0
0
0
0
28
0.076923
0.391244
f41ba9d5fdc81324edb472c8f9d78146204b4c9039e264d5dbca93df8a6de908
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_seq_same_rank
same rank as previous card
previous_card
if not mainline: return True return card.rank == mainline[-1].rank
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
only kings
legacy_train
{}
["static_rank"]
legacy_train
{}
0
0
0
0
13
0.076923
0.391244
2cffa89a598b96cf0e1d876dd95b0616da5c58f38a95c5db3545a472f18592a0
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_rank_kings
only kings
static_rank
return card.rank == 13
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
same rank parity as previous card
legacy_train
{}
["previous_card"]
legacy_train
{}
0
0
0
0
34
0.507315
0.999846
97ab64e066032be6eb1950282e7788f462ca5af9bfe58aef33a35481c0cdc778
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_seq_same_parity
same rank parity as previous card
previous_card
if not mainline: return True return (card.rank % 2) == (mainline[-1].rank % 2)
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
rank strictly increases
legacy_train
{}
["previous_card"]
legacy_train
{}
0
0
0
0
28
0.500236
1
c3350a6bdfe24ea35df778cd08dca615cace6f9bae9f26d04f12f3b16b84675c
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_seq_strict_increase
rank strictly increases
previous_card
if not mainline: return True return card.rank > mainline[-1].rank
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
rank strictly decreases
legacy_train
{}
["previous_card"]
legacy_train
{}
0
0
0
0
28
0.422841
0.982753
b3b6967478a6fdbf155725cef09b200be5a6a48ab3b357138dbb060c22a2b3a1
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_seq_strict_decrease
rank strictly decreases
previous_card
if not mainline: return True return card.rank < mainline[-1].rank
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
rank does not increase
legacy_train
{}
["previous_card"]
legacy_train
{}
0
0
0
0
28
0.499764
1
cb35c74d06419f83a71b9e0e110adf54fe6f44ea22a55d50e45f03a1703cd827
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_seq_non_increasing
rank does not increase
previous_card
if not mainline: return True return card.rank <= mainline[-1].rank
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
rank changes by exactly 1
legacy_train
{}
["previous_card"]
legacy_train
{}
0
0
0
0
34
0.142992
0.592021
f47126404939f0c69075c16581f5fd4a88c3f6adfa755935caa5eb38f096cf79
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_seq_rank_diff_exactly_one
rank changes by exactly 1
previous_card
if not mainline: return True return abs(card.rank - mainline[-1].rank) == 1
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
rank changes by at most 1
legacy_train
{}
["previous_card"]
legacy_train
{}
0
0
0
0
34
0.219915
0.760012
f7d65655a516ec2a239fdfe2dd8a90d294998e490aa8cb0c0014420d99ce233b
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_seq_rank_diff_at_most_one
rank changes by at most 1
previous_card
if not mainline: return True return abs(card.rank - mainline[-1].rank) <= 1
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
rank changes by at most 2
legacy_train
{}
["previous_card"]
legacy_train
{}
0
0
0
0
34
0.349693
0.933794
56301a5776e67b3ef3769df0b24dfa62ca56b462ddde109ca251f81758478e90
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_seq_rank_diff_at_most_two
rank changes by at most 2
previous_card
if not mainline: return True return abs(card.rank - mainline[-1].rank) <= 2
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
rank changes by at least 3
legacy_train
{}
["previous_card"]
legacy_train
{}
0
0
0
0
34
0.650307
0.933794
0f41f3d2a26bcb494ad201ba2687e8385eb71264a708965bb4a716182dae40ce
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_seq_rank_diff_at_least_three
rank changes by at least 3
previous_card
if not mainline: return True return abs(card.rank - mainline[-1].rank) >= 3
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
same low/high rank group as previous card
legacy_train
{}
["previous_card"]
legacy_train
{}
0
0
0
0
34
0.507787
0.999825
b32a459009f1ff2ac5a9b3755bdc063d70a4e1c9de8e4a46221bbc8c65f837c3
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_seq_same_low_high_group
same low/high rank group as previous card
previous_card
if not mainline: return True return (card.rank >= 8) == (mainline[-1].rank >= 8)
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
different low/high rank group than previous card
legacy_train
{}
["previous_card"]
legacy_train
{}
0
0
0
0
34
0.492213
0.999825
918ba686b2ad6e1d547f94aca9d0a891761637a76cc19ffb8944963c045f106b
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_seq_different_low_high_group
different low/high rank group than previous card
previous_card
if not mainline: return True return (card.rank >= 8) != (mainline[-1].rank >= 8)
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
same face/number status as previous card
legacy_train
{}
["previous_card"]
legacy_train
{}
0
0
0
0
34
0.663521
0.92141
1b7a98a542c851a6cfdb456ec16505e0f89a0c180687db83e1f8ae1efe2716bc
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_seq_same_face_status
same face/number status as previous card
previous_card
if not mainline: return True return (card.rank >= 11) == (mainline[-1].rank >= 11)
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
red previous goes down, black previous goes up
legacy_train
{}
["previous_card"]
legacy_train
{}
0
0
0
0
60
0.533742
0.996712
8dd0697ac5c808d1fd22793ddb5bdba3040986ee440e869d0e96f87db68207e9
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_seq_red_down_black_up
red previous goes down, black previous goes up
previous_card
if not mainline: return 5 <= card.rank <= 9 prev = mainline[-1] if prev.color == "red": return card.rank <= prev.rank return card.rank >= prev.rank
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
suits cycle diamonds, clubs, hearts, spades
legacy_train
{}
["previous_card"]
legacy_train
{}
0
0
0
0
57
0.25
0.811278
758a79c62bf07b611cc260c0089a3eb2babbf197530bb39486ad83a418ba0272
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_seq_suit_cycle_dchs
suits cycle diamonds, clubs, hearts, spades
previous_card
if not mainline: return True order = ["diamonds", "clubs", "hearts", "spades"] idx = order.index(mainline[-1].suit) return card.suit == order[(idx + 1) % 4]
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
faces require different color, numbers require same color
legacy_train
{}
["previous_card"]
legacy_train
{}
0
0
0
0
52
0.5
1
7b91e59e8863231f59b4b16522c9d973fc8835707e6c9f73a1785aceadb9d36e
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_seq_face_diff_color_number_same_color
faces require different color, numbers require same color
previous_card
if not mainline: return True prev = mainline[-1] if prev.rank >= 11: return card.color != prev.color return card.color == prev.color
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
same suit or same rank parity as previous card
legacy_train
{}
["previous_card"]
legacy_train
{}
0
0
0
0
51
0.630486
0.950298
ca5295f424746c45d4a033948a0a2b43b0a0746946512f21b2388b121d283294
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_seq_share_suit_or_parity
same suit or same rank parity as previous card
previous_card
if not mainline: return True prev = mainline[-1] return card.suit == prev.suit or (card.rank % 2) == (prev.rank % 2)
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
clubs only
legacy_train
{}
["static_suit_color"]
legacy_train
{}
0
0
0
0
13
0.25
0.811278
acc4da855e7675baf3f6f6de4f6c581481b5d4c5619b5a84b2596db3dba4360a
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_suit_clubs
clubs only
static_suit_color
return card.suit == "clubs"
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
diamonds only
legacy_train
{}
["static_suit_color"]
legacy_train
{}
0
0
0
0
13
0.25
0.811278
cb17ca3e89a5a6146798c575e5f7d113cb78b933a184de4dc04a41c92bf44df7
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_suit_diamonds
diamonds only
static_suit_color
return card.suit == "diamonds"
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
no hearts
legacy_train
{}
["static_suit_color"]
legacy_train
{}
0
0
0
0
13
0.75
0.811278
25b5f4756dd1ec6cc21bdc148aa683e7aeb88b007f5991cb419a280f11884850
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_suit_no_hearts
no hearts
static_suit_color
return card.suit != "hearts"
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
hearts or spades
legacy_train
{}
["static_suit_color"]
legacy_train
{}
0
0
0
0
15
0.5
1
22ee5f228be0f5f0ceb30210a51670886666d172b5ed980831197291ab8020cb
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_suit_hearts_or_spades
hearts or spades
static_suit_color
return card.suit in {"hearts", "spades"}
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
even ranks up to eight
legacy_train
{}
["static_rank"]
legacy_train
{}
0
0
0
0
17
0.307692
0.890492
3a94e6cd5cc8afe1328dd9659f494040df2c926ab03f4252932ead37ed56081e
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_rank_even_low_set
even ranks up to eight
static_rank
return card.rank in {2, 4, 6, 8}
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
ranks one to three
legacy_train
{}
["static_rank"]
legacy_train
{}
0
0
0
0
13
0.230769
0.77935
74961539dbe1b403fe3a0e323720224bb6c2e2536945ed5607fb37e93dc28d74
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_rank_low_1_3
ranks one to three
static_rank
return card.rank <= 3
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
ranks ten and up
legacy_train
{}
["static_rank"]
legacy_train
{}
0
0
0
0
13
0.307692
0.890492
ffd46360857754094fea80595e58d1739282673442433d612b9d530c5ccc80dc
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_rank_high_10_13
ranks ten and up
static_rank
return card.rank >= 10
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
ranks seven to eleven
legacy_train
{}
["static_rank"]
legacy_train
{}
0
0
0
0
15
0.384615
0.961237
4be324651fbceaed8ecd37290755105c203fb0649aa97ab91989879b8d7b5d01
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_rank_band_7_11
ranks seven to eleven
static_rank
return 7 <= card.rank <= 11
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
black high cards
legacy_train
{}
["static_combo"]
legacy_train
{}
0
0
0
0
22
0.153846
0.619382
08ad5662070bcf6231e2b23a23b4dae26e3897c937429d76b917798902940ab1
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_combo_black_high
black high cards
static_combo
return card.color == "black" and card.rank >= 10
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
alternate low and mid-high vs previous (threshold five)
legacy_train
{}
["previous_card"]
legacy_train
{}
0
0
0
0
34
0.444549
0.99111
afa7e08c1ab6776eb94e5f190d8d98a8040965e00380aa48bae13db8b62f4468
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_seq_different_mid_group
alternate low and mid-high vs previous (threshold five)
previous_card
if not mainline: return True return (card.rank >= 5) != (mainline[-1].rank >= 5)
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
pairs share suit (opposite phase)
legacy_train
{}
["pair_position"]
legacy_train
{}
0
0
0
0
56
0.492331
0.99983
31714cc5dde0f44442db2fa5fdd19a1c1159e31020180e1f68dd3330da4210f5
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_pair_suits
pairs share suit (opposite phase)
pair_position
if not mainline: return True if len(mainline) % 2 == 0: return card.suit == mainline[-1].suit return card.suit != mainline[-1].suit
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
pairs share rank (opposite phase)
legacy_train
{}
["pair_position"]
legacy_train
{}
0
0
0
0
56
0.487022
0.999514
432087e82f0b7f6b1a0d1c66b63183342d7967f6a44aed0670a85da564c6e334
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_pair_ranks
pairs share rank (opposite phase)
pair_position
if not mainline: return True if len(mainline) % 2 == 0: return card.rank == mainline[-1].rank return card.rank != mainline[-1].rank
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
red even ranks
legacy_train
{}
["static_combo"]
legacy_train
{}
0
0
0
0
25
0.230769
0.77935
6b4988f91b3ba99be9230763418b8ffbb091ad3a4d6ef6065e17837696e2d9f2
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_rank_even_red
red even ranks
static_combo
return card.color == "red" and card.rank % 2 == 0
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
black even ranks
legacy_train
{}
["static_combo"]
legacy_train
{}
0
0
0
0
25
0.230769
0.77935
125fb8a35692301fbbb7c57bbfe5d1c5f3337cfa281e7fccd1ae3f019fe8c9fa
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_rank_even_black
black even ranks
static_combo
return card.color == "black" and card.rank % 2 == 0
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
even ranks or kings
legacy_train
{}
["static_rank"]
legacy_train
{}
0
0
0
0
25
0.538462
0.995727
f0f912b8912968ca4ec3f8bc147a74d3bdc11b45cb69ddf223c8ecfea306dcc6
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_rank_even_or_king
even ranks or kings
static_rank
return card.rank % 2 == 0 or card.rank == 13
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
odd primes
legacy_train
{}
["static_rank"]
legacy_train
{}
0
0
0
0
18
0.384615
0.961237
7d792e7d678827a72903a625d58a5849ddf14a455c649c167a4c1f6a679d06e3
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_rank_odd_primes
odd primes
static_rank
return card.rank in {3, 5, 7, 11, 13}
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
alternate low and high vs previous (threshold ten)
legacy_train
{}
["previous_card"]
legacy_train
{}
0
0
0
0
34
0.394998
0.967949
a3f4f8734dcf6d696b602789ee60bf497601da0f92ab25285fbb89bf4cd6ac06
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_seq_different_high_group_10
alternate low and high vs previous (threshold ten)
previous_card
if not mainline: return True return (card.rank >= 10) != (mainline[-1].rank >= 10)
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
alternate between hearts+clubs and diamonds+spades
legacy_train
{}
["previous_card"]
legacy_train
{}
0
0
0
0
42
0.5
1
0442debe2aa9fd1bb773ba21cc5923309ff2d0da935237e5a6b2f6e7ca18b5d3
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_seq_group_hc_ds
alternate between hearts+clubs and diamonds+spades
previous_card
if not mainline: return True group_a = {"hearts", "clubs"} return (card.suit in group_a) != (mainline[-1].suit in group_a)
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
after a face card same color, after a number card different color
legacy_train
{}
["previous_card"]
legacy_train
{}
0
0
0
0
49
0.5
1
647cd8a5c267b323d21968c8075cbc4dc50bab6da15781ccfe2e0de86872e1c8
0
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
train_seq_face_same_color_number_diff_color
after a face card same color, after a number card different color
previous_card
if not mainline: return True prev = mainline[-1] if prev.is_face: return card.color == prev.color return card.color != prev.color
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
the prior count of the candidate's rank parity is 3 modulo 5
candidate_attribute_count_phase
{"attribute": "parity", "modulus": 5, "residue": 3}
["global_history"]
train_parameterization
{"attribute_cardinality": 2, "branch_count": 0, "designed_level": 8, "history_depth": 16, "period_or_chunk_length": 5}
16
5
0
2
50
0.178858
0.677572
d81e460cd6c41064a9467ef8c2dc2ed99a010a2b2bd7caae2a7e861c822a4de1
8
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_global_history_candidate_attribute_count_phase_11a34f4069
the prior count of the candidate's rank parity is 3 modulo 5
global_history
if not mainline: return True count = sum(1 for item in mainline if card.rank % 2 == item.rank % 2) return count % 5 == 3
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
the prior count of the candidate's color is 0 modulo 4
candidate_attribute_count_phase
{"attribute": "color", "modulus": 4, "residue": 0}
["global_history"]
train_parameterization
{"attribute_cardinality": 2, "branch_count": 0, "designed_level": 8, "history_depth": 16, "period_or_chunk_length": 4}
16
4
0
2
44
0.254601
0.81849
af751702beab8091455c5ae845bc3dbb2b02c0f18c68554ab15f4147242029ab
8
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_global_history_candidate_attribute_count_phase_1305785d8a
the prior count of the candidate's color is 0 modulo 4
global_history
if not mainline: return True count = sum(1 for item in mainline if card.color == item.color) return count % 4 == 0
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
the prior count of the candidate's face status is 0 modulo 2
candidate_attribute_count_phase
{"attribute": "face", "modulus": 2, "residue": 0}
["global_history"]
train_parameterization
{"attribute_cardinality": 2, "branch_count": 0, "designed_level": 7, "history_depth": 16, "period_or_chunk_length": 2}
16
2
0
2
44
0.578575
0.982112
a262869d1e591681cb0a0916d5cdaf64d3c2629bbef03cbe8381f5b6c1ed8e2d
7
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_global_history_candidate_attribute_count_phase_13879dc61b
the prior count of the candidate's face status is 0 modulo 2
global_history
if not mainline: return True count = sum(1 for item in mainline if card.is_face == item.is_face) return count % 2 == 0
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
the prior count of the candidate's rank parity is 2 modulo 4
candidate_attribute_count_phase
{"attribute": "parity", "modulus": 4, "residue": 2}
["global_history"]
train_parameterization
{"attribute_cardinality": 2, "branch_count": 0, "designed_level": 8, "history_depth": 16, "period_or_chunk_length": 4}
16
4
0
2
50
0.249174
0.809967
1aa32eef3dc2a0529b9040f38f5c8b33e00b47d56ae803035101e92d0b8af2d7
8
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_global_history_candidate_attribute_count_phase_19a28414b4
the prior count of the candidate's rank parity is 2 modulo 4
global_history
if not mainline: return True count = sum(1 for item in mainline if card.rank % 2 == item.rank % 2) return count % 4 == 2
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
the prior count of the candidate's color is 0 modulo 2
candidate_attribute_count_phase
{"attribute": "color", "modulus": 2, "residue": 0}
["global_history"]
train_parameterization
{"attribute_cardinality": 2, "branch_count": 0, "designed_level": 7, "history_depth": 16, "period_or_chunk_length": 2}
16
2
0
2
44
0.52454
0.998262
d3f3563786418ae5e2214a3afbc250dd8de68f398c1fb38fe2cae756e4c92e75
7
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_global_history_candidate_attribute_count_phase_2d018d218c
the prior count of the candidate's color is 0 modulo 2
global_history
if not mainline: return True count = sum(1 for item in mainline if card.color == item.color) return count % 2 == 0
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
the prior count of the candidate's rank is 0 modulo 3
candidate_attribute_count_phase
{"attribute": "rank", "modulus": 3, "residue": 0}
["global_history"]
train_parameterization
{"attribute_cardinality": 13, "branch_count": 0, "designed_level": 8, "history_depth": 16, "period_or_chunk_length": 3}
16
3
0
13
44
0.554035
0.991559
5a7fbe91ef96a998a4d3c491ce8b190af7930bed4bcd3024935c814038a07c72
8
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_global_history_candidate_attribute_count_phase_2dc38c5afc
the prior count of the candidate's rank is 0 modulo 3
global_history
if not mainline: return True count = sum(1 for item in mainline if card.rank == item.rank) return count % 3 == 0
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
the prior count of the candidate's suit is 2 modulo 3
candidate_attribute_count_phase
{"attribute": "suit", "modulus": 3, "residue": 2}
["global_history"]
train_parameterization
{"attribute_cardinality": 4, "branch_count": 0, "designed_level": 7, "history_depth": 16, "period_or_chunk_length": 3}
16
3
0
4
44
0.266871
0.836939
da42bb640b144762708df59f8b38868267fd057c9eb0e4dae744c08a713dc5ee
7
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_global_history_candidate_attribute_count_phase_32857bfa82
the prior count of the candidate's suit is 2 modulo 3
global_history
if not mainline: return True count = sum(1 for item in mainline if card.suit == item.suit) return count % 3 == 2
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
the prior count of the candidate's suit is 0 modulo 3
candidate_attribute_count_phase
{"attribute": "suit", "modulus": 3, "residue": 0}
["global_history"]
train_parameterization
{"attribute_cardinality": 4, "branch_count": 0, "designed_level": 7, "history_depth": 16, "period_or_chunk_length": 3}
16
3
0
4
44
0.317485
0.901625
4e5b4358c79c069eedb6ad19408a0dd54162cca9029e8c4354094fdf3c397258
7
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_global_history_candidate_attribute_count_phase_39d7a98752
the prior count of the candidate's suit is 0 modulo 3
global_history
if not mainline: return True count = sum(1 for item in mainline if card.suit == item.suit) return count % 3 == 0
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
the prior count of the candidate's color is 3 modulo 4
candidate_attribute_count_phase
{"attribute": "color", "modulus": 4, "residue": 3}
["global_history"]
train_parameterization
{"attribute_cardinality": 2, "branch_count": 0, "designed_level": 8, "history_depth": 16, "period_or_chunk_length": 4}
16
4
0
2
44
0.226994
0.772734
4b5a7596df58ab6b0f5fea3682e32f13d0a2d8883106a8f4f00055bc97f579ff
8
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_global_history_candidate_attribute_count_phase_3c774c825c
the prior count of the candidate's color is 3 modulo 4
global_history
if not mainline: return True count = sum(1 for item in mainline if card.color == item.color) return count % 4 == 3
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
the prior count of the candidate's face status is 0 modulo 5
candidate_attribute_count_phase
{"attribute": "face", "modulus": 5, "residue": 0}
["global_history"]
train_parameterization
{"attribute_cardinality": 2, "branch_count": 0, "designed_level": 8, "history_depth": 16, "period_or_chunk_length": 5}
16
5
0
2
44
0.304389
0.88659
72e05b627754d1f1871999b3408cd318c60ec49661ed91cbdbb64131745ee96d
8
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_global_history_candidate_attribute_count_phase_3cc8890e94
the prior count of the candidate's face status is 0 modulo 5
global_history
if not mainline: return True count = sum(1 for item in mainline if card.is_face == item.is_face) return count % 5 == 0
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
the prior count of the candidate's suit is 0 modulo 2
candidate_attribute_count_phase
{"attribute": "suit", "modulus": 2, "residue": 0}
["global_history"]
train_parameterization
{"attribute_cardinality": 4, "branch_count": 0, "designed_level": 7, "history_depth": 16, "period_or_chunk_length": 2}
16
2
0
4
44
0.510736
0.999667
cf34149b3c8cde6ef0e9898c347ff5c121e2b42652dedb63895f6947a40a4d31
7
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_global_history_candidate_attribute_count_phase_404a29c0da
the prior count of the candidate's suit is 0 modulo 2
global_history
if not mainline: return True count = sum(1 for item in mainline if card.suit == item.suit) return count % 2 == 0
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
the prior count of the candidate's rank is 1 modulo 3
candidate_attribute_count_phase
{"attribute": "rank", "modulus": 3, "residue": 1}
["global_history"]
train_parameterization
{"attribute_cardinality": 13, "branch_count": 0, "designed_level": 8, "history_depth": 16, "period_or_chunk_length": 3}
16
3
0
13
44
0.404436
0.973486
7deae35255e9216d10bf364777f2d59d04c5f09342c1cc31cee8e82b8e858a3e
8
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_global_history_candidate_attribute_count_phase_59fa9488e7
the prior count of the candidate's rank is 1 modulo 3
global_history
if not mainline: return True count = sum(1 for item in mainline if card.rank == item.rank) return count % 3 == 1
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
the prior count of the candidate's suit is 1 modulo 2
candidate_attribute_count_phase
{"attribute": "suit", "modulus": 2, "residue": 1}
["global_history"]
train_parameterization
{"attribute_cardinality": 4, "branch_count": 0, "designed_level": 7, "history_depth": 16, "period_or_chunk_length": 2}
16
2
0
4
44
0.489264
0.999667
5cadbce7a0110a1aacafa0a1b68c488f8d2f3a065b6d84d799e3b2e4240c8411
7
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_global_history_candidate_attribute_count_phase_6023db9b3c
the prior count of the candidate's suit is 1 modulo 2
global_history
if not mainline: return True count = sum(1 for item in mainline if card.suit == item.suit) return count % 2 == 1
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
the prior count of the candidate's rank parity is 0 modulo 3
candidate_attribute_count_phase
{"attribute": "parity", "modulus": 3, "residue": 0}
["global_history"]
train_parameterization
{"attribute_cardinality": 2, "branch_count": 0, "designed_level": 7, "history_depth": 16, "period_or_chunk_length": 3}
16
3
0
2
50
0.423313
0.982964
1134a2fd6305c8a7f48972a622d6eeaeec397e9a121beb2a2b0cb63f2cf04572
7
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_global_history_candidate_attribute_count_phase_6345aaafed
the prior count of the candidate's rank parity is 0 modulo 3
global_history
if not mainline: return True count = sum(1 for item in mainline if card.rank % 2 == item.rank % 2) return count % 3 == 0
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
the prior count of the candidate's rank parity is 2 modulo 5
candidate_attribute_count_phase
{"attribute": "parity", "modulus": 5, "residue": 2}
["global_history"]
train_parameterization
{"attribute_cardinality": 2, "branch_count": 0, "designed_level": 8, "history_depth": 16, "period_or_chunk_length": 5}
16
5
0
2
50
0.184049
0.688855
4b65232f4a56d9bba6b701011b4f5d9730f336909ed659cc7bc4b5677d7efcd8
8
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_global_history_candidate_attribute_count_phase_6ebcbbf801
the prior count of the candidate's rank parity is 2 modulo 5
global_history
if not mainline: return True count = sum(1 for item in mainline if card.rank % 2 == item.rank % 2) return count % 5 == 2
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
the prior count of the candidate's color is 2 modulo 4
candidate_attribute_count_phase
{"attribute": "color", "modulus": 4, "residue": 2}
["global_history"]
train_parameterization
{"attribute_cardinality": 2, "branch_count": 0, "designed_level": 8, "history_depth": 16, "period_or_chunk_length": 4}
16
4
0
2
44
0.269939
0.841377
47cf717a722747245f70293f91362560f4029f613606529788474028a3b0759b
8
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_global_history_candidate_attribute_count_phase_86953c33f4
the prior count of the candidate's color is 2 modulo 4
global_history
if not mainline: return True count = sum(1 for item in mainline if card.color == item.color) return count % 4 == 2
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
the prior count of the candidate's rank is 1 modulo 4
candidate_attribute_count_phase
{"attribute": "rank", "modulus": 4, "residue": 1}
["global_history"]
train_parameterization
{"attribute_cardinality": 13, "branch_count": 0, "designed_level": 9, "history_depth": 16, "period_or_chunk_length": 4}
16
4
0
13
44
0.378008
0.956623
a6bfd7f1b6fe61481a16b4955d134f864da4340ffc44c4b8157d3265bc44b4c8
9
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_global_history_candidate_attribute_count_phase_951a18971c
the prior count of the candidate's rank is 1 modulo 4
global_history
if not mainline: return True count = sum(1 for item in mainline if card.rank == item.rank) return count % 4 == 1
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
the prior count of the candidate's rank parity is 3 modulo 4
candidate_attribute_count_phase
{"attribute": "parity", "modulus": 4, "residue": 3}
["global_history"]
train_parameterization
{"attribute_cardinality": 2, "branch_count": 0, "designed_level": 8, "history_depth": 16, "period_or_chunk_length": 4}
16
4
0
2
50
0.181689
0.683759
8cc162bd5a395b29b4aa1edd5d408e3b96baed4ca82259ac6d2c124917da2de0
8
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_global_history_candidate_attribute_count_phase_b57d1daa7e
the prior count of the candidate's rank parity is 3 modulo 4
global_history
if not mainline: return True count = sum(1 for item in mainline if card.rank % 2 == item.rank % 2) return count % 4 == 3
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
the prior count of the candidate's face status is 1 modulo 5
candidate_attribute_count_phase
{"attribute": "face", "modulus": 5, "residue": 1}
["global_history"]
train_parameterization
{"attribute_cardinality": 2, "branch_count": 0, "designed_level": 8, "history_depth": 16, "period_or_chunk_length": 5}
16
5
0
2
44
0.174611
0.668144
c1db29f3d4a31edf08b635886f34059b4185f0683bc8acc865c9010b081ab513
8
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_global_history_candidate_attribute_count_phase_bdbf94ac1d
the prior count of the candidate's face status is 1 modulo 5
global_history
if not mainline: return True count = sum(1 for item in mainline if card.is_face == item.is_face) return count % 5 == 1
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
the prior count of the candidate's rank is 1 modulo 2
candidate_attribute_count_phase
{"attribute": "rank", "modulus": 2, "residue": 1}
["global_history"]
train_parameterization
{"attribute_cardinality": 13, "branch_count": 0, "designed_level": 8, "history_depth": 16, "period_or_chunk_length": 2}
16
2
0
13
44
0.384615
0.961237
dc89fda154093c84eddf0a4f78b94d49842fe4a40eb53d1ffc5b8ba6f9141875
8
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_global_history_candidate_attribute_count_phase_d5fb8bf89b
the prior count of the candidate's rank is 1 modulo 2
global_history
if not mainline: return True count = sum(1 for item in mainline if card.rank == item.rank) return count % 2 == 1
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
the prior count of the candidate's suit is 1 modulo 3
candidate_attribute_count_phase
{"attribute": "suit", "modulus": 3, "residue": 1}
["global_history"]
train_parameterization
{"attribute_cardinality": 4, "branch_count": 0, "designed_level": 7, "history_depth": 16, "period_or_chunk_length": 3}
16
3
0
4
44
0.415644
0.979369
18e7fd2efafcfcf1c18a543b225b295fae636e5da312f1da065e2df18e91cfd7
7
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_global_history_candidate_attribute_count_phase_d74b2f1193
the prior count of the candidate's suit is 1 modulo 3
global_history
if not mainline: return True count = sum(1 for item in mainline if card.suit == item.suit) return count % 3 == 1
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
the prior count of the candidate's rank is 0 modulo 2
candidate_attribute_count_phase
{"attribute": "rank", "modulus": 2, "residue": 0}
["global_history"]
train_parameterization
{"attribute_cardinality": 13, "branch_count": 0, "designed_level": 8, "history_depth": 16, "period_or_chunk_length": 2}
16
2
0
13
44
0.615385
0.961237
e30f8f0a96ccc0f5c318285629578726e7608ab372c473509d7a1fb4a33a9ccc
8
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_global_history_candidate_attribute_count_phase_d8bfad3d7a
the prior count of the candidate's rank is 0 modulo 2
global_history
if not mainline: return True count = sum(1 for item in mainline if card.rank == item.rank) return count % 2 == 0
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
the prior count of the candidate's face status is 1 modulo 2
candidate_attribute_count_phase
{"attribute": "face", "modulus": 2, "residue": 1}
["global_history"]
train_parameterization
{"attribute_cardinality": 2, "branch_count": 0, "designed_level": 7, "history_depth": 16, "period_or_chunk_length": 2}
16
2
0
2
44
0.421425
0.982112
8e6d380d0ce0f7cc1206947aaf87263ed0a57aacd51bfa8945c61179987b4948
7
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_global_history_candidate_attribute_count_phase_e15deef5a4
the prior count of the candidate's face status is 1 modulo 2
global_history
if not mainline: return True count = sum(1 for item in mainline if card.is_face == item.is_face) return count % 2 == 1
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
the prior count of the candidate's face status is 1 modulo 3
candidate_attribute_count_phase
{"attribute": "face", "modulus": 3, "residue": 1}
["global_history"]
train_parameterization
{"attribute_cardinality": 2, "branch_count": 0, "designed_level": 7, "history_depth": 16, "period_or_chunk_length": 3}
16
3
0
2
44
0.310052
0.893233
f1e2e1f613ba0c3c8f23cab5454aff68eb1fa3235290e2f5684cb5220fe8c3b6
7
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_global_history_candidate_attribute_count_phase_e65ee62fe8
the prior count of the candidate's face status is 1 modulo 3
global_history
if not mainline: return True count = sum(1 for item in mainline if card.is_face == item.is_face) return count % 3 == 1
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
the prior count of the candidate's rank parity is 1 modulo 5
candidate_attribute_count_phase
{"attribute": "parity", "modulus": 5, "residue": 1}
["global_history"]
train_parameterization
{"attribute_cardinality": 2, "branch_count": 0, "designed_level": 8, "history_depth": 16, "period_or_chunk_length": 5}
16
5
0
2
50
0.235488
0.787457
97b96cd6d5f1f65314f904616229caf590f77b91410472ff2cd991b1865e1ab8
8
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_global_history_candidate_attribute_count_phase_e97c6890a5
the prior count of the candidate's rank parity is 1 modulo 5
global_history
if not mainline: return True count = sum(1 for item in mainline if card.rank % 2 == item.rank % 2) return count % 5 == 1
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
the prior count of the candidate's face status is 3 modulo 5
candidate_attribute_count_phase
{"attribute": "face", "modulus": 5, "residue": 3}
["global_history"]
train_parameterization
{"attribute_cardinality": 2, "branch_count": 0, "designed_level": 8, "history_depth": 16, "period_or_chunk_length": 5}
16
5
0
2
44
0.186409
0.693898
3e11b8e0628aa5ce377acf7cb07eccca5e70f13aa5be1d947e6a4c4203f31fd2
8
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_global_history_candidate_attribute_count_phase_ec5003a412
the prior count of the candidate's face status is 3 modulo 5
global_history
if not mainline: return True count = sum(1 for item in mainline if card.is_face == item.is_face) return count % 5 == 3
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
the prior count of the candidate's face status is 2 modulo 5
candidate_attribute_count_phase
{"attribute": "face", "modulus": 5, "residue": 2}
["global_history"]
train_parameterization
{"attribute_cardinality": 2, "branch_count": 0, "designed_level": 8, "history_depth": 16, "period_or_chunk_length": 5}
16
5
0
2
44
0.198679
0.719277
ab75a07570b1aeb059d9327ce65a588dfff93af6410f33b310f8c3f5a8d08970
8
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_global_history_candidate_attribute_count_phase_ecc3188d87
the prior count of the candidate's face status is 2 modulo 5
global_history
if not mainline: return True count = sum(1 for item in mainline if card.is_face == item.is_face) return count % 5 == 2
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
the prior count of the candidate's color is 4 modulo 5
candidate_attribute_count_phase
{"attribute": "color", "modulus": 5, "residue": 4}
["global_history"]
train_parameterization
{"attribute_cardinality": 2, "branch_count": 0, "designed_level": 8, "history_depth": 16, "period_or_chunk_length": 5}
16
5
0
2
44
0.144172
0.595061
139081e499fb9ee7ee493cfe4b4de4d3440e95617ebf8160c493cca1043afd50
8
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_global_history_candidate_attribute_count_phase_f1d488b6e4
the prior count of the candidate's color is 4 modulo 5
global_history
if not mainline: return True count = sum(1 for item in mainline if card.color == item.color) return count % 5 == 4
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
the prior count of the candidate's color is 2 modulo 3
candidate_attribute_count_phase
{"attribute": "color", "modulus": 3, "residue": 2}
["global_history"]
train_parameterization
{"attribute_cardinality": 2, "branch_count": 0, "designed_level": 7, "history_depth": 16, "period_or_chunk_length": 3}
16
3
0
2
44
0.334356
0.919315
cb6350e9dd83528ccf3a8f447398736ac13e4ca1ae62632f6784d2700387fa55
7
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_global_history_candidate_attribute_count_phase_f709f89fcb
the prior count of the candidate's color is 2 modulo 3
global_history
if not mainline: return True count = sum(1 for item in mainline if card.color == item.color) return count % 3 == 2
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
the prior count of the candidate's face status is 2 modulo 4
candidate_attribute_count_phase
{"attribute": "face", "modulus": 4, "residue": 2}
["global_history"]
train_parameterization
{"attribute_cardinality": 2, "branch_count": 0, "designed_level": 8, "history_depth": 16, "period_or_chunk_length": 4}
16
4
0
2
44
0.269939
0.841377
f6d470666578a9504b82e62b46db67d979be169e771ada151148956ff5bce242
8
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_global_history_candidate_attribute_count_phase_f8df8ca889
the prior count of the candidate's face status is 2 modulo 4
global_history
if not mainline: return True count = sum(1 for item in mainline if card.is_face == item.is_face) return count % 4 == 2
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
the prior count of the candidate's rank parity is 0 modulo 5
candidate_attribute_count_phase
{"attribute": "parity", "modulus": 5, "residue": 0}
["global_history"]
train_parameterization
{"attribute_cardinality": 2, "branch_count": 0, "designed_level": 8, "history_depth": 16, "period_or_chunk_length": 5}
16
5
0
2
50
0.261444
0.828918
4a3060f69844dc1161b0148a40fe72dad022b069bdcedc49f191067410503bb5
8
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_global_history_candidate_attribute_count_phase_fd7216710a
the prior count of the candidate's rank parity is 0 modulo 5
global_history
if not mainline: return True count = sum(1 for item in mainline if card.rank % 2 == item.rank % 2) return count % 5 == 0
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
red candidates require same parity; black candidates require same suit, relative to the previous card
candidate_color_gated_transition
{"black_relation": "same_suit", "red_relation": "same_parity"}
["first_order_transition"]
train_parameterization
{"attribute_cardinality": 2, "branch_count": 2, "designed_level": 5, "history_depth": 1, "period_or_chunk_length": 0}
1
0
2
2
58
0.388627
0.963908
520273e86858bab428862b3ac79506b3e9e82e9d889a702fb818f602ea7bec02
5
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_first_order_transition_candidate_color_gated_transition_2ca3901093
red candidates require same parity; black candidates require same suit, relative to the previous card
first_order_transition
if not mainline: return True prev = mainline[-1] if card.color == "red": return card.rank % 2 == prev.rank % 2 return card.suit == prev.suit
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
red candidates require same parity; black candidates require different parity, relative to the previous card
candidate_color_gated_transition
{"black_relation": "different_parity", "red_relation": "same_parity"}
["first_order_transition"]
train_parameterization
{"attribute_cardinality": 2, "branch_count": 2, "designed_level": 5, "history_depth": 1, "period_or_chunk_length": 0}
1
0
2
2
64
0.5
1
590db012753e2e68c1397d3fb0646d61480da94e075aba6e0a2fdf3f8b9b957f
5
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_first_order_transition_candidate_color_gated_transition_39d30ae2a6
red candidates require same parity; black candidates require different parity, relative to the previous card
first_order_transition
if not mainline: return True prev = mainline[-1] if card.color == "red": return card.rank % 2 == prev.rank % 2 return card.rank % 2 != prev.rank % 2
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
red candidates require different parity; black candidates require same color, relative to the previous card
candidate_color_gated_transition
{"black_relation": "same_color", "red_relation": "different_parity"}
["first_order_transition"]
train_parameterization
{"attribute_cardinality": 2, "branch_count": 2, "designed_level": 5, "history_depth": 1, "period_or_chunk_length": 0}
1
0
2
2
58
0.516281
0.999235
ad7d7735bbe34c0ea7a1f601ccc5e8b78dfc2afb1a8170e80323f28e4d7b9643
5
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_first_order_transition_candidate_color_gated_transition_3e28d24942
red candidates require different parity; black candidates require same color, relative to the previous card
first_order_transition
if not mainline: return True prev = mainline[-1] if card.color == "red": return card.rank % 2 != prev.rank % 2 return card.color == prev.color
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
red candidates require different suit; black candidates require same parity, relative to the previous card
candidate_color_gated_transition
{"black_relation": "same_parity", "red_relation": "different_suit"}
["first_order_transition"]
train_parameterization
{"attribute_cardinality": 2, "branch_count": 2, "designed_level": 5, "history_depth": 1, "period_or_chunk_length": 0}
1
0
2
2
58
0.638627
0.943817
958cafcd19fe6d14a8d300e3f76e18615b5ffdd287bf2a84119d2010fec595fd
5
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_first_order_transition_candidate_color_gated_transition_504406a04a
red candidates require different suit; black candidates require same parity, relative to the previous card
first_order_transition
if not mainline: return True prev = mainline[-1] if card.color == "red": return card.suit != prev.suit return card.rank % 2 == prev.rank % 2
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
red candidates require same color; black candidates require different suit, relative to the previous card
candidate_color_gated_transition
{"black_relation": "different_suit", "red_relation": "same_color"}
["first_order_transition"]
train_parameterization
{"attribute_cardinality": 2, "branch_count": 2, "designed_level": 5, "history_depth": 1, "period_or_chunk_length": 0}
1
0
2
2
52
0.595092
0.973749
e79fb349e56e8bbe057839de518aa60a6a1ef98b8cc60b9575273b8fcd57a6b1
5
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_first_order_transition_candidate_color_gated_transition_634d02e033
red candidates require same color; black candidates require different suit, relative to the previous card
first_order_transition
if not mainline: return True prev = mainline[-1] if card.color == "red": return card.color == prev.color return card.suit != prev.suit
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
red candidates require same color; black candidates require lower rank, relative to the previous card
candidate_color_gated_transition
{"black_relation": "rank_down", "red_relation": "same_color"}
["first_order_transition"]
train_parameterization
{"attribute_cardinality": 2, "branch_count": 2, "designed_level": 5, "history_depth": 1, "period_or_chunk_length": 0}
1
0
2
2
52
0.441482
0.990097
6da237a5d94accf65dd7b2d2e14ca3b1af67aba6a1411679cc6504c402aa03ef
5
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_first_order_transition_candidate_color_gated_transition_9770b24cf6
red candidates require same color; black candidates require lower rank, relative to the previous card
first_order_transition
if not mainline: return True prev = mainline[-1] if card.color == "red": return card.color == prev.color return card.rank < prev.rank
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
red candidates require same suit; black candidates require different parity, relative to the previous card
candidate_color_gated_transition
{"black_relation": "different_parity", "red_relation": "same_suit"}
["first_order_transition"]
train_parameterization
{"attribute_cardinality": 2, "branch_count": 2, "designed_level": 5, "history_depth": 1, "period_or_chunk_length": 0}
1
0
2
2
58
0.361373
0.943817
9b83262e5f0801522fa7210b0e14451d352bd7fb3b270862b1725fc4dbc1f4b2
5
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_first_order_transition_candidate_color_gated_transition_9edcc4ea33
red candidates require same suit; black candidates require different parity, relative to the previous card
first_order_transition
if not mainline: return True prev = mainline[-1] if card.color == "red": return card.suit == prev.suit return card.rank % 2 != prev.rank % 2
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
red candidates require different parity; black candidates require lower rank, relative to the previous card
candidate_color_gated_transition
{"black_relation": "rank_down", "red_relation": "different_parity"}
["first_order_transition"]
train_parameterization
{"attribute_cardinality": 2, "branch_count": 2, "designed_level": 5, "history_depth": 1, "period_or_chunk_length": 0}
1
0
2
2
58
0.457763
0.994846
f806e26bb184bfe6ce1496775daaa7af61d75c33ac249dcdf5f7ccf9601f4d9b
5
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_first_order_transition_candidate_color_gated_transition_af0a361160
red candidates require different parity; black candidates require lower rank, relative to the previous card
first_order_transition
if not mainline: return True prev = mainline[-1] if card.color == "red": return card.rank % 2 != prev.rank % 2 return card.rank < prev.rank
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
red candidates require higher rank; black candidates require same color, relative to the previous card
candidate_color_gated_transition
{"black_relation": "same_color", "red_relation": "rank_up"}
["first_order_transition"]
train_parameterization
{"attribute_cardinality": 2, "branch_count": 2, "designed_level": 5, "history_depth": 1, "period_or_chunk_length": 0}
1
0
2
2
52
0.520057
0.998839
6053923b345d19c3f12c2350a6581ff18bba88f6f445af900468d3ea207d8512
5
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_first_order_transition_candidate_color_gated_transition_bb5810f3e2
red candidates require higher rank; black candidates require same color, relative to the previous card
first_order_transition
if not mainline: return True prev = mainline[-1] if card.color == "red": return card.rank > prev.rank return card.color == prev.color
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
red candidates require different color; black candidates require higher rank, relative to the previous card
candidate_color_gated_transition
{"black_relation": "rank_up", "red_relation": "different_color"}
["first_order_transition"]
train_parameterization
{"attribute_cardinality": 2, "branch_count": 2, "designed_level": 5, "history_depth": 1, "period_or_chunk_length": 0}
1
0
2
2
52
0.520057
0.998839
33f0fc54868a313e2f1526ca2e6ca2806c170e1a04cb4e9dd8382fd5f45529e6
5
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_first_order_transition_candidate_color_gated_transition_d8efd17dea
red candidates require different color; black candidates require higher rank, relative to the previous card
first_order_transition
if not mainline: return True prev = mainline[-1] if card.color == "red": return card.color != prev.color return card.rank > prev.rank
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
different color and different parity
color_and_parity
{"color_same": false, "parity_same": false}
["first_order_transition"]
train_parameterization
{"attribute_cardinality": 2, "branch_count": 0, "designed_level": 3, "history_depth": 1, "period_or_chunk_length": 0}
1
0
0
2
51
0.246343
0.80543
87f5978bc2d7affa248d81cac8813f745afdbea11d4876962391e06adf3e1ed8
3
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_first_order_transition_color_and_parity_a5cf1dd5b0
different color and different parity
first_order_transition
if not mainline: return True prev = mainline[-1] return card.color != prev.color and card.rank % 2 != prev.rank % 2
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
different color and same parity
color_and_parity
{"color_same": false, "parity_same": true}
["first_order_transition"]
train_parameterization
{"attribute_cardinality": 2, "branch_count": 0, "designed_level": 3, "history_depth": 1, "period_or_chunk_length": 0}
1
0
0
2
51
0.253657
0.817024
ddb53181b3c7e6149fd2d31d26517182c9083f0166b9820a56e55342ef317a9c
3
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_first_order_transition_color_and_parity_b6327a134c
different color and same parity
first_order_transition
if not mainline: return True prev = mainline[-1] return card.color != prev.color and card.rank % 2 == prev.rank % 2
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
red cards with rank at most 6
color_rank_threshold
{"color": "red", "operator": "<=", "threshold": 6}
["static_predicate"]
train_parameterization
{"attribute_cardinality": 2, "branch_count": 1, "designed_level": 2, "history_depth": 0, "period_or_chunk_length": 0}
0
0
1
2
22
0.230769
0.77935
6a6103be8f9fcc6a9184a6d70484920a580baf4bbe1f0dbf397ead9ed0bbb2f2
2
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_static_predicate_color_rank_threshold_256c8160a9
red cards with rank at most 6
static_predicate
return card.color == "red" and card.rank <= 6
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
red cards with rank at most 4
color_rank_threshold
{"color": "red", "operator": "<=", "threshold": 4}
["static_predicate"]
train_parameterization
{"attribute_cardinality": 2, "branch_count": 1, "designed_level": 2, "history_depth": 0, "period_or_chunk_length": 0}
0
0
1
2
22
0.153846
0.619382
99f5eed2647ca864dbe6aeee877dc33a8dc39de6538bec05680c76583926071a
2
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_static_predicate_color_rank_threshold_4081b9d77c
red cards with rank at most 4
static_predicate
return card.color == "red" and card.rank <= 4
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
red cards with rank at least 4
color_rank_threshold
{"color": "red", "operator": ">=", "threshold": 4}
["static_predicate"]
train_parameterization
{"attribute_cardinality": 2, "branch_count": 1, "designed_level": 2, "history_depth": 0, "period_or_chunk_length": 0}
0
0
1
2
22
0.384615
0.961237
5ce5f023ea03e33bc42095c96c4106dccf3f80225ca9585602241c063583ad0e
2
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_static_predicate_color_rank_threshold_50a9928557
red cards with rank at least 4
static_predicate
return card.color == "red" and card.rank >= 4
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
red cards with rank at least 10
color_rank_threshold
{"color": "red", "operator": ">=", "threshold": 10}
["static_predicate"]
train_parameterization
{"attribute_cardinality": 2, "branch_count": 1, "designed_level": 2, "history_depth": 0, "period_or_chunk_length": 0}
0
0
1
2
22
0.153846
0.619382
7f17935d79d08840b5b5ccf834558c5ea2e07125d08f7a4813858028cf30180d
2
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_static_predicate_color_rank_threshold_7bc8d07b66
red cards with rank at least 10
static_predicate
return card.color == "red" and card.rank >= 10
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
black cards with rank at most 11
color_rank_threshold
{"color": "black", "operator": "<=", "threshold": 11}
["static_predicate"]
train_parameterization
{"attribute_cardinality": 2, "branch_count": 1, "designed_level": 2, "history_depth": 0, "period_or_chunk_length": 0}
0
0
1
2
22
0.423077
0.982859
3143c4636fea7d4c63dc2761316743d137d70eb97ca262358e2593f963e1eef7
2
-1
-1
uncalibrated
[]
v2.1-frontier-calibrated-100turn-20260812
cal_static_predicate_color_rank_threshold_a46bbf3a4f
black cards with rank at most 11
static_predicate
return card.color == "black" and card.rank <= 11
eleusis-100-v11
model_balanced_mean_reward
100
30
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null