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Paper Citation Record · LEDGER

The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models

As of 7 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2601.19926.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2601.19926 v2

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measured 43 of 43 reference resolution

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Outbound references

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The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models Unresolved cited work

Reference 1

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The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models bert base uncased

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This paper cites When does word order matter and when doesn't it?.

The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models When does word order matter and when doesn't it?

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This paper cites Vittoria Dentella, Fritz G ¨unther, and Evelina Leivada.

The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models Vittoria Dentella, Fritz G ¨unther, and Evelina Leivada

Reference 7

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This paper cites InProceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, pages 375– 388, Punta Cana, Dominican Republic.

The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models InProceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, pages 375– 388, Punta Cana, Dominican Republic

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This paper cites Tree Transformers are an Ineffective Model of Syntactic Constituency.

The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models Tree Transformers are an Ineffective Model of Syntactic Constituency

Reference 10

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The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models Computer Speech & Language, 71:101261

Reference 11

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The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models Deep Clustering of Text Representations for Supervision-free Probing of Syntax

Reference 12

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The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models Do Attention Heads in BERT Track Syntactic Dependencies?

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The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models InProceed- ings of the 21st Workshop on Multiword Expressions (MWE 2025), pages 7–13, Albuquerque, New Mex- ico, U.S.A

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The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models InProceedings of the 57th Annual Meet- ing of the Association for Computational Linguis- tics, pages 5729–5739, Florence, Italy

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The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models Soo-Hwan Lee and Sebastian Schuster

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The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models Language Models as Models of Language

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The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models InProceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, pages 518–528, Punta Cana, Dominican Republic

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The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models InProceedings of the 4th Workshop on Research in Computational Linguistic Typology and Multilingual NLP, pages 27–35, Seat- tle, Washington

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The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models Association for Compu- tational Linguistics

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The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models Shauli Ravfogel, Grusha Prasad, Tal Linzen, and Yoav Goldberg

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The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models Inducing Syntactic Trees from BERT Representations

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The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models Carolin M

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The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models Syntax-Infused Transformer and BERT models for Machine Translation and Natural Language Understanding

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The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models Large Language Models Enhanced by Plug and Play Syntactic Knowledge for Aspect-based Sentiment Analysis

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The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models InPro- ceedings of the 2021 Conference on Empirical Meth- ods in Natural Language Processing, pages 5604– 5620, Online and Punta Cana, Dominican Republic

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The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models InProceedings of the 2021 Conference on Empirical Methods in Natural Lan- guage Processing, pages 932–948, Online and Punta Cana, Dominican Republic

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The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models Shijie Wu and Mark Dredze

Reference 36

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The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models InProceed- ings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Pa- pers), pages 7070–7083, Vienna, Austria

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The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models How Well Do Large Language Models Understand Syntax? An Evaluation by Asking Natural Language Questions

Reference 38

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The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models The AI-assisted summaries tend to be more de- tailed and insightful for keyword searches, pro- viding richer context

Reference 43

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The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models Linguistic Interpretability of Transformer-based Language Models: a systematic review

Reference 2016

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Observation 2d8d59ee-b69b-4051-9127-08e2be8ebc98 · outbound

This paper cites Cognitive Science, 41(5):1202–1241.

The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models Cognitive Science, 41(5):1202–1241

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-03T11:31:58.142585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:31:58.142585Z digest=sha256:09606603c42f63132b98ff775f28d9ddc20a5a59b0337b3f7ffd2d5c439cbcc7

Observation af11cd89-e1a2-43a5-ac49-df03901357c1 · outbound

This paper cites MultiBLiMP 1.0: A Massively Multilingual Benchmark of Linguistic Minimal Pairs.

The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models MultiBLiMP 1.0: A Massively Multilingual Benchmark of Linguistic Minimal Pairs

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-03T11:31:57.768260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:31:57.768260Z digest=sha256:45a4b4d18a203a4c1c25e5fc7f7719b245014e0e360c3b9d58b0b69241ef6085

Observation d718d7a3-4488-4ccd-9dfa-289370138711 · outbound

This paper cites Does BERT agree? Evaluating knowledge of structure dependence through agreement relations.

The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models Does BERT agree? Evaluating knowledge of structure dependence through agreement relations

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-03T11:31:57.000961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:31:57.000961Z digest=sha256:9295f1351b1c91e4456ada469411fc60e9aec3bf33f68fffe887de79e68db5b4

Observation 2a7c8886-6a74-4562-adaf-cb573eac39de · outbound

This paper cites InProceedings of the 6th Workshop on Representation Learning for NLP (RepL4NLP-2021), pages 263–276, Online.

The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models InProceedings of the 6th Workshop on Representation Learning for NLP (RepL4NLP-2021), pages 263–276, Online

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-03T11:31:56.648319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:31:56.648319Z digest=sha256:f01c76f4d847956c562d1241fa61858ff96f7c47cb2e05e1a9a915aacfddc098

Observation a86a1701-38ed-4fa5-a040-f3f2448ef42c · outbound

This paper cites Chiara Alzetta, Alessio Miaschi, Felice Dell’Orletta, Giulia Venturi, and Simonetta Montemagni.

The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models Chiara Alzetta, Alessio Miaschi, Felice Dell’Orletta, Giulia Venturi, and Simonetta Montemagni

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-03T11:31:56.703326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:31:56.703326Z digest=sha256:4bfd6a258f4a7a7aefa8f77dc5e0cfb8d53b7d70a57a826b1717b0e676540923

Observation 754eab33-cdb3-4d3a-a5fc-6a888146330a · outbound

This paper cites InProceedings of the 61st Annual Meeting of the Association for Computational Lin- guistics (Volume 1: Long Papers), pages 6649– 6663, Toronto, Canada.

The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models InProceedings of the 61st Annual Meeting of the Association for Computational Lin- guistics (Volume 1: Long Papers), pages 6649– 6663, Toronto, Canada

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-03T11:31:57.082986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:31:57.082986Z digest=sha256:3dd262c773e1709a5f73bd2b1cdef056a30188da154e7798dfd4866e1e736d1b

Observation 31eeedb0-e739-4e78-9684-98a22a45dcc8 · outbound

This paper cites InProceed- ings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Pa- pers), pages 14638–14663, Bangkok, Thailand.

The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models InProceed- ings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Pa- pers), pages 14638–14663, Bangkok, Thailand

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-03T11:31:56.918678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:31:56.918678Z digest=sha256:a364e7a6b180ea5b4e84cdaa611ab2c485d14d2d379f7bdde2ad4915ced61191

Observation 5928a8fc-7650-4027-b178-793dc15f5578 · outbound

This paper cites How Syntax Specialization Emerges in Language Models.

The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models How Syntax Specialization Emerges in Language Models

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-03T11:31:57.283927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:31:57.283927Z digest=sha256:a22ad55f29bef2cfb1d41ae820746ccf6f7e066440b968fc21c2386afe1e53fa

Pith citing papers

No inbound Pith citation observations are available.