Citation Analysis

Minimax and Bayes Optimal Adaptive Experimental Design for Treatment Choice
Masahiro Kato
https://arxiv.org/abs/2512.08513

Citation mentions

Cited references

Sections

3,789

Words (approx)

References by Citation Intensity

Ordered by composite index (descending). Higher values indicate more intensive citation.

#	Mentions	Breadth	Sec. Wtd	Share	Composite	Main %
1	7	4	7.0	0.108	0.950	86%
2	4	2	5.0	0.062	0.811	100%
3	3	2	3.0	0.046	0.737	100%
4	2	2	1.5	0.031	0.644	100%
5	2	2	1.5	0.031	0.644	100%
6	2	2	1.5	0.031	0.644	100%
7	2	2	3.0	0.031	0.644	100%
8	2	2	2.5	0.031	0.644	100%
9	2	2	2.5	0.031	0.644	100%
10	2	2	2.5	0.031	0.644	100%
11	2	2	2.5	0.031	0.644	100%
12	2	2	2.5	0.031	0.644	100%
13	3	1	6.0	0.046	0.585	100%
14	2	1	1.0	0.031	0.511	100%
15	2	1	1.0	0.031	0.511	100%
16	2	1	1.0	0.031	0.511	100%
17	1	1	1.0	0.015	0.406	100%
18	1	1	2.0	0.015	0.406	100%
19	1	1	0.5	0.015	0.406	100%
20	1	1	0.5	0.015	0.406	100%
21	1	1	0.5	0.015	0.406	100%
22	1	1	0.5	0.015	0.406	100%
23	1	1	0.5	0.015	0.406	100%
24	1	1	0.5	0.015	0.406	100%
25	1	1	0.5	0.015	0.406	100%
26	1	1	0.5	0.015	0.406	100%
27	1	1	0.5	0.015	0.406	100%
28	1	1	0.5	0.015	0.406	100%
29	1	1	0.5	0.015	0.406	100%
30	1	1	0.5	0.015	0.406	100%
31	1	1	0.5	0.015	0.406	100%
32	1	1	0.5	0.015	0.406	100%
33	1	1	0.5	0.015	0.406	100%
34	1	1	0.5	0.015	0.406	100%
35	1	1	0.5	0.015	0.406	100%
36	1	1	2.0	0.015	0.406	100%
37	1	1	2.0	0.015	0.406	100%
38	1	1	2.0	0.015	0.406	100%
39	1	1	2.0	0.015	0.406	100%
40	1	1	2.0	0.015	0.406	100%

Measures: Mentions = total in-text citations; Breadth = distinct sections; Sec. Wtd = section-weighted count (body ×2, lit review/appendix ×0.5); Share = mentions / total citations in paper; Composite = geometric mean of normalised count, breadth, and main-text ratio; Main % = fraction of mentions in main text (excl. appendix). (self) = self-citation.