Citation Analysis

A Unified Theory for Causal Inference: Direct Debiased Machine Learning via Bregman-Riesz Regression
Masahiro Kato
https://arxiv.org/abs/2510.26783

Citation mentions

Cited references

Sections

2,256

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	8	6	13.0	0.200	1.000	100%
2	4	4	6.0	0.100	0.928	100%
3	3	3	4.0	0.075	0.843	100%
4	3	3	6.0	0.075	0.843	100%
5	4	2	8.0	0.100	0.811	100%
6	3	2	6.0	0.075	0.737	100%
7	2	2	4.0	0.050	0.644	100%
8	1	1	1.0	0.025	0.406	100%
9	1	1	2.0	0.025	0.406	100%
10	1	1	2.0	0.025	0.406	100%
11	1	1	2.0	0.025	0.406	100%
12	1	1	2.0	0.025	0.406	100%
13	1	1	2.0	0.025	0.406	100%
14	1	1	2.0	0.025	0.406	100%
15	1	1	2.0	0.025	0.406	100%
16	1	1	2.0	0.025	0.406	100%
17	1	1	2.0	0.025	0.406	100%
18	1	1	2.0	0.025	0.406	100%
19	1	1	2.0	0.025	0.406	100%
20	1	1	2.0	0.025	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.