Citation Analysis

The Honest Truth About Causal Trees: Accuracy Limits for Heterogeneous Treatment Effect Estimation\\ Supplemental Appendix\bigskip
Matias D. Cattaneo, Jason M. Klusowski, Ruiqi Rae Yu
https://arxiv.org/abs/2509.11381

Citation mentions

Cited references

Sections

14,448

Words (approx)

References by Citation Intensity

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

#	Reference	Year	Mentions	Breadth	Sec. Wtd	Share	Composite	Main %
1	Cso	1997	15	9	30.0	0.283	1.000	100%
2	Klusowski, Jason M and Tian, Peter M (self)	2024	7	3	14.0	0.132	1.000	100%
3	Victor Chernozhukov and Denis Chetverikov and Keng...	2017	6	2	12.0	0.113	0.874	100%
4	Horva	1993	3	3	6.0	0.057	0.843	100%
5	Shorack, Galen R and Smythe, RT	1976	3	3	6.0	0.057	0.843	100%
6	F. Eicker	1979	4	2	8.0	0.075	0.811	100%
7	Lata\la, Rafa\l and Matlak, Dariusz	2017	2	2	4.0	0.038	0.644	100%
8	Chernozhuokov, Victor and Chetverikov, Denis and K...	2022	2	2	4.0	0.038	0.644	100%
9	Maciej Skorski	2023	2	2	4.0	0.038	0.644	100%
10	La	2002	2	2	4.0	0.038	0.644	100%
11	Cso	1981	2	1	4.0	0.038	0.511	100%
12	Cattaneo, Matias D and Klusowski, Jason M and Tian... (self)	2022	1	1	2.0	0.019	0.406	100%
13	Susan Athey and Guido Imbens	2016	1	1	2.0	0.019	0.406	100%
14	Anja Go	2003	1	1	2.0	0.019	0.406	100%
15	El-Yaniv, Ran and Pechyony, Dmitry	2009	1	1	2.0	0.019	0.406	100%
16	Valentin V. Petrov	2007	1	1	2.0	0.019	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.