Citation Analysis – Direct Debiased Machine Learning\\ via Bregman Divergence Minimization

Direct Debiased Machine Learning\\ via Bregman Divergence Minimization
Masahiro Kato
https://arxiv.org/abs/2510.23534

105

Citation mentions

Cited references

Sections

6,484

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	6	5	8.0	0.057	1.000	100%
2	5	4	6.5	0.048	1.000	100%
3	8	6	12.5	0.076	1.000	100%
4	8	7	12.5	0.076	1.000	100%
5	9	7	15.5	0.086	1.000	100%
6	4	3	4.0	0.038	0.928	100%
7	4	3	5.5	0.038	0.928	100%
8	4	4	5.5	0.038	0.928	100%
9	3	3	3.5	0.029	0.843	100%
10	3	3	4.5	0.029	0.843	100%
11	3	2	6.0	0.029	0.737	100%
12	2	2	4.0	0.019	0.644	100%
13	2	2	4.0	0.019	0.644	100%
14	2	2	2.5	0.019	0.644	100%
15	2	2	2.5	0.019	0.644	100%
16	2	2	4.0	0.019	0.644	100%
17	2	2	4.0	0.019	0.644	100%
18	1	1	1.0	0.010	0.406	100%
19	1	1	0.5	0.010	0.406	100%
20	1	1	0.5	0.010	0.406	100%
21	1	1	0.5	0.010	0.406	100%
22	1	1	0.5	0.010	0.406	100%
23	1	1	0.5	0.010	0.406	100%
24	1	1	0.5	0.010	0.406	100%
25	1	1	0.5	0.010	0.406	100%
26	1	1	0.5	0.010	0.406	100%
27	1	1	0.5	0.010	0.406	100%
28	1	1	0.5	0.010	0.406	100%
29	1	1	0.5	0.010	0.406	100%
30	1	1	0.5	0.010	0.406	100%
31	1	1	0.5	0.010	0.406	100%
32	1	1	0.5	0.010	0.406	100%
33	1	1	0.5	0.010	0.406	100%
34	1	1	0.5	0.010	0.406	100%
35	1	1	0.5	0.010	0.406	100%
36	1	1	0.5	0.010	0.406	100%
37	1	1	0.5	0.010	0.406	100%
38	1	1	0.5	0.010	0.406	100%
39	1	1	0.5	0.010	0.406	100%
40	1	1	0.5	0.010	0.406	100%
41	1	1	0.5	0.010	0.406	100%
42	1	1	0.5	0.010	0.406	100%
43	1	1	0.5	0.010	0.406	100%
44	1	1	0.5	0.010	0.406	100%
45	1	1	0.5	0.010	0.406	100%
46	1	1	2.0	0.010	0.406	100%
47	1	1	2.0	0.010	0.406	100%
48	1	1	2.0	0.010	0.406	100%
49	1	1	2.0	0.010	0.406	100%
50	1	1	2.0	0.010	0.406	100%
51	1	1	2.0	0.010	0.406	100%
52	1	1	2.0	0.010	0.406	100%
53	1	1	2.0	0.010	0.406	100%

Reference

Year

Mentions

Breadth

Sec. Wtd

Composite

Main %

8.0

0.057

1.000

100%

6.5

0.048

1.000

100%

12.5

0.076

1.000

100%

12.5

0.076

1.000

100%

15.5

0.086

1.000

100%

4.0

0.038

0.928

100%

5.5

0.038

0.928

100%

5.5

0.038

0.928

100%

3.5

0.029

0.843

100%

4.5

0.029

0.843

100%

6.0

0.029

0.737

100%

4.0

0.019

0.644

100%

4.0

0.019

0.644

100%

2.5

0.019

0.644

100%

2.5

0.019

0.644

100%

4.0

0.019

0.644

100%

4.0

0.019

0.644

100%

1.0

0.010

0.406

100%

0.5

0.010

0.406

100%

0.5

0.010

0.406

100%

0.5

0.010

0.406

100%

0.5

0.010

0.406

100%

0.5

0.010

0.406

100%

0.5

0.010

0.406

100%

0.5

0.010

0.406

100%

0.5

0.010

0.406

100%

0.5

0.010

0.406

100%

0.5

0.010

0.406

100%

0.5

0.010

0.406

100%

0.5

0.010

0.406

100%

0.5

0.010

0.406

100%

0.5

0.010

0.406

100%

0.5

0.010

0.406

100%

0.5

0.010

0.406

100%

0.5

0.010

0.406

100%

0.5

0.010

0.406

100%

0.5

0.010

0.406

100%

0.5

0.010

0.406

100%

0.5

0.010

0.406

100%

0.5

0.010

0.406

100%

0.5

0.010

0.406

100%

0.5

0.010

0.406

100%

0.5

0.010

0.406

100%

0.5

0.010

0.406

100%

0.5

0.010

0.406

100%

2.0

0.010

0.406

100%

2.0

0.010

0.406

100%

2.0

0.010

0.406

100%

2.0

0.010

0.406

100%

2.0

0.010

0.406

100%

2.0

0.010

0.406

100%

2.0

0.010

0.406

100%

2.0

0.010

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.