Citation Analysis

\LARGE Learning the Macroeconomic Language
Siddhartha Chib, Fei Tan
https://arxiv.org/abs/2512.21031
14
Citation mentions
11
Cited references
5
Sections
369
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 Smets, Frank and Wouters, Rafael 2007 3 3 5.0 0.214 0.843 100%
2 Andrej Karpathy 2022 2 2 2.0 0.143 0.644 100%
3 Vaswani, Ashish and Shazeer, Noam and Parmar, Niki... 2017 1 1 1.0 0.071 0.406 100%
4 David DeJong and Beth Ingram and Charles Whiteman 1993 1 1 1.0 0.071 0.406 100%
5 Beth F. Ingram and Charles H. Whiteman 1994 1 1 1.0 0.071 0.406 100%
6 Del Negro, Marco and Schorfheide, Frank 2004 1 1 1.0 0.071 0.406 100%
7 Marco Del Negro and Frank Schorfheide and Frank Sm... 2007 1 1 1.0 0.071 0.406 100%
8 Alexey Dosovitskiy and German Ros and Felipe Codev... 2017 1 1 1.0 0.071 0.406 100%
9 Tobin, Josh and Fong, Rachel and Ray, Alex and Sch... 2017 1 1 1.0 0.071 0.406 100%
10 Siddhartha Chib and Minchul Shin and Fei Tan (self) 2023 1 1 2.0 0.071 0.406 100%
11 Yu Shi and Zongliang Fu and Shuo Chen and Bohan Zh... 2025 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.