Citation Analysis

Reinforcement Learning for Monetary Policy Under Macroeconomic Uncertainty: Analyzing Tabular and Function Approximation Methods
Tony Wang, Kyle Feinstein, Sheryl Chen
https://arxiv.org/abs/2512.17929

Citation mentions

Cited references

Sections

2,420

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	Taylor, John B.	1993	1	1	1.0	0.071	0.406	100%
2	Troy Davig	2007 (rev.\ November 2015)	1	1	1.0	0.071	0.406	100%
3	Yellen, Janet L.	2017	1	1	0.5	0.071	0.406	100%
4	Bernanke, Ben S.	2015	1	1	0.5	0.071	0.406	100%
5	Taylor, John B.	2016	1	1	0.5	0.071	0.406	100%
6	Nakamura, Emi and Steinsson, Jon	2018	1	1	0.5	0.071	0.406	100%
7	Sutton, Richard S. and Barto, Andrew G.	2018	1	1	0.5	0.071	0.406	100%
8	Watkins, Christopher J. and Dayan, Peter	1992	1	1	0.5	0.071	0.406	100%
9	Mnih, Volodymyr and Kavukcuoglu, Koray and Silver,...	2015	1	1	0.5	0.071	0.406	100%
10	Konda, Vijay R. and Tsitsiklis, John N.	2000	1	1	0.5	0.071	0.406	100%
11	Ghavamzadeh, Mohammad and Mannor, Shie and Pineau,...	2015	1	1	0.5	0.071	0.406	100%
12	Osband, Ian and Blundell, Charles and Pritzel, Ale...	2016	1	1	0.5	0.071	0.406	100%
13	Kaelbling, Leslie P. and Littman, Michael L. and C...	1998	1	1	0.5	0.071	0.406	100%
14	Federal Reserve Bank of St. Louis		1	1	2.0	0.071	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.