validation/paper2/TABLE_D1_ablation.md

Table D.1 — the ablation at three references, in nats, with each construct's rank among 320 random sets. rise_over_random_nats is the carriers' loss rise minus the mean rise over the size-matched random sets, signed, at the construct's own positions; it is the unit the papers' bodies use. rank_from_top is 1 plus the number of random sets at or above the carriers, and exact_one_sided_p is (1 + that number) / (1 + 320); holm_significant applies Holm-Bonferroni at 0.05 across the 16 constructs at each reference. The smallest p this control allows is 1/321 = 0.00312. Control units are not reported: the control's spread is long-tailed at the two later references and does not settle with more draws, so it has no converged denominator. old_set_* columns are the 84 B carrier set removed at the end, against the same masks.

reference	tokens_b	construct	rise_over_random_nats	carrier_rise_nats	control_mean_nats	rank_from_top	n_masks	exact_one_sided_p	exceeds_every_mask	holm_significant	old_set_rise_nats	old_set_rank_from_top	old_set_p	old_set_holm_significant
pretrain_iter_0001000	4.1900	AsyncFor	0.0701	0.1418	0.0716	60	320	0.1869	False	False	—	—	—	—
pretrain_iter_0001000	4.1900	AsyncWith	0.1391	0.2014	0.0622	41	320	0.1277	False	False	—	—	—	—
pretrain_iter_0001000	4.1900	DictComp	0.0500	0.1015	0.0515	52	320	0.1620	False	False	—	—	—	—
pretrain_iter_0001000	4.1900	For	0.0950	0.1829	0.0879	6	320	0.0187	False	False	—	—	—	—
pretrain_iter_0001000	4.1900	GeneratorExp	0.0766	0.1534	0.0768	47	320	0.1464	False	False	—	—	—	—
pretrain_iter_0001000	4.1900	If	-0.0447	-0.0080	0.0367	243	320	0.7570	False	False	—	—	—	—
pretrain_iter_0001000	4.1900	IfExp	0.0578	0.1363	0.0785	96	320	0.2991	False	False	—	—	—	—
pretrain_iter_0001000	4.1900	Import	0.2025	0.2761	0.0736	80	320	0.2492	False	False	—	—	—	—
pretrain_iter_0001000	4.1900	ImportFrom	-0.0094	-0.1207	-0.1113	169	320	0.5265	False	False	—	—	—	—
pretrain_iter_0001000	4.1900	Lambda	0.6331	0.7079	0.0748	1	320	0.0031	True	True	—	—	—	—
pretrain_iter_0001000	4.1900	ListComp	0.0260	0.1092	0.0832	91	320	0.2835	False	False	—	—	—	—
pretrain_iter_0001000	4.1900	NamedExpr	-0.1531	-0.0656	0.0875	262	320	0.8162	False	False	—	—	—	—
pretrain_iter_0001000	4.1900	SetComp	0.0428	0.1114	0.0686	67	320	0.2087	False	False	—	—	—	—
pretrain_iter_0001000	4.1900	Try	1.2464	1.3230	0.0766	1	320	0.0031	True	True	—	—	—	—
pretrain_iter_0001000	4.1900	While	-0.0363	-0.0145	0.0218	234	320	0.7290	False	False	—	—	—	—
pretrain_iter_0001000	4.1900	With	0.1779	0.2854	0.1076	18	320	0.0561	False	False	—	—	—	—
pretrain_iter_0020000	83.9000	AsyncFor	0.0335	0.0352	0.0017	77	320	0.2399	False	False	-0.0980	302	0.9408	False
pretrain_iter_0020000	83.9000	AsyncWith	0.0307	0.0491	0.0183	98	320	0.3053	False	False	0.1822	4	0.0125	False
pretrain_iter_0020000	83.9000	DictComp	0.4299	0.4871	0.0573	1	320	0.0031	True	True	0.0056	261	0.8131	False
pretrain_iter_0020000	83.9000	For	0.0895	0.0788	-0.0107	20	320	0.0623	False	False	-0.0179	172	0.5358	False
pretrain_iter_0020000	83.9000	GeneratorExp	0.8968	0.9429	0.0461	1	320	0.0031	True	True	0.1861	10	0.0312	False
pretrain_iter_0020000	83.9000	If	0.0663	0.0700	0.0037	18	320	0.0561	False	False	0.0150	129	0.4019	False
pretrain_iter_0020000	83.9000	IfExp	1.0712	1.1636	0.0924	1	320	0.0031	True	True	0.1644	63	0.1963	False
pretrain_iter_0020000	83.9000	Import	0.0242	0.1715	0.1473	139	320	0.4330	False	False	-0.1102	252	0.7850	False
pretrain_iter_0020000	83.9000	ImportFrom	-0.4332	-0.2849	0.1484	297	320	0.9252	False	False	-0.1402	267	0.8318	False
pretrain_iter_0020000	83.9000	Lambda	3.8379	3.8443	0.0064	1	320	0.0031	True	True	0.0514	106	0.3302	False
pretrain_iter_0020000	83.9000	ListComp	0.5202	0.5657	0.0455	1	320	0.0031	True	True	0.0984	60	0.1869	False
pretrain_iter_0020000	83.9000	NamedExpr	0.4328	0.5067	0.0739	1	320	0.0031	True	True	0.2088	50	0.1558	False
pretrain_iter_0020000	83.9000	SetComp	0.6455	0.6882	0.0427	1	320	0.0031	True	True	0.0158	201	0.6262	False
pretrain_iter_0020000	83.9000	Try	3.4998	3.5070	0.0072	1	320	0.0031	True	True	0.0914	1	0.0031	True
pretrain_iter_0020000	83.9000	While	-0.0649	-0.0643	0.0006	288	320	0.8972	False	False	0.0121	148	0.4611	False
pretrain_iter_0020000	83.9000	With	0.0035	0.0132	0.0098	150	320	0.4673	False	False	0.1500	6	0.0187	False
pretrain_iter_0484865	2034.0000	AsyncFor	-0.2730	-0.2835	-0.0105	316	320	0.9844	False	False	-0.0460	226	0.7040	False
pretrain_iter_0484865	2034.0000	AsyncWith	0.3663	0.4033	0.0370	1	320	0.0031	True	True	0.1526	25	0.0779	False
pretrain_iter_0484865	2034.0000	DictComp	0.2644	0.3331	0.0688	7	320	0.0218	False	False	0.2263	20	0.0623	False
pretrain_iter_0484865	2034.0000	For	0.1034	0.1095	0.0061	13	320	0.0405	False	False	0.0167	149	0.4642	False
pretrain_iter_0484865	2034.0000	GeneratorExp	0.5488	0.5844	0.0356	1	320	0.0031	True	True	0.4551	1	0.0031	True
pretrain_iter_0484865	2034.0000	If	0.3496	0.3596	0.0099	1	320	0.0031	True	True	-0.0031	203	0.6324	False
pretrain_iter_0484865	2034.0000	IfExp	1.5807	1.6696	0.0889	1	320	0.0031	True	True	0.8262	1	0.0031	True
pretrain_iter_0484865	2034.0000	Import	0.4843	0.6680	0.1837	55	320	0.1713	False	False	0.0450	208	0.6480	False
pretrain_iter_0484865	2034.0000	ImportFrom	0.1083	0.3993	0.2910	144	320	0.4486	False	False	0.1761	189	0.5888	False
pretrain_iter_0484865	2034.0000	Lambda	4.9917	4.9919	0.0002	1	320	0.0031	True	True	3.5500	1	0.0031	True
pretrain_iter_0484865	2034.0000	ListComp	0.9592	1.0095	0.0503	1	320	0.0031	True	True	0.1505	51	0.1589	False
pretrain_iter_0484865	2034.0000	NamedExpr	-0.0524	0.0688	0.1212	207	320	0.6449	False	False	0.3687	20	0.0623	False
pretrain_iter_0484865	2034.0000	SetComp	0.4345	0.4836	0.0491	4	320	0.0125	False	False	0.1687	41	0.1277	False
pretrain_iter_0484865	2034.0000	Try	5.9537	6.0041	0.0503	1	320	0.0031	True	True	4.1912	1	0.0031	True
pretrain_iter_0484865	2034.0000	While	0.0802	0.1047	0.0246	33	320	0.1028	False	False	0.2969	5	0.0156	False
pretrain_iter_0484865	2034.0000	With	0.5484	0.5767	0.0283	1	320	0.0031	True	True	-0.1101	314	0.9782	False