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Paper Citation Record · LEDGER

Computational Identification of Regulatory Statements in EU Legislation

As of 19 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2505.00479.

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

pith.paper-citation-record.v1
2505.00479 v1

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Reference resolution

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Outbound references

Observation 16b1d2cd-052b-47be-aeb3-342a2eedb75b · outbound

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Computational Identification of Regulatory Statements in EU Legislation Unresolved cited work

Reference 1

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Computational Identification of Regulatory Statements in EU Legislation United Kingdom

Reference 2

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Computational Identification of Regulatory Statements in EU Legislation It” and “ey

Reference 3

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This paper cites It is customary to require α ≥ .800 (for statistically significant reliability). Where tentative conclusions are still acceptable, α ≥ .667 is the lowest conceivable limit.

Computational Identification of Regulatory Statements in EU Legislation It is customary to require α ≥ .800 (for statistically significant reliability). Where tentative conclusions are still acceptable, α ≥ .667 is the lowest conceivable limit

Reference 4

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This paper cites Citizens must separate their recyclables.

Computational Identification of Regulatory Statements in EU Legislation Citizens must separate their recyclables

Reference 7

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Computational Identification of Regulatory Statements in EU Legislation Citizens must separate

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This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Computational Identification of Regulatory Statements in EU Legislation BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 15

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This paper cites In 1st Workshop on MIning and REasoning with Legal texts (MIREL 2016).

Computational Identification of Regulatory Statements in EU Legislation In 1st Workshop on MIning and REasoning with Legal texts (MIREL 2016)

Reference 16

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Computational Identification of Regulatory Statements in EU Legislation Artificial Intelligence in Law

Reference 18

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This paper cites In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 1373–1378.

Computational Identification of Regulatory Statements in EU Legislation In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 1373–1378

Reference 19

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This paper cites Bidirectional LSTM-CRF Models for Sequence Tagging.

Computational Identification of Regulatory Statements in EU Legislation Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 20

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This paper cites Morphology 30, 185-218.

Computational Identification of Regulatory Statements in EU Legislation Morphology 30, 185-218

Reference 21

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This paper cites https://doi.org/10.3233/FAIA220467.

Computational Identification of Regulatory Statements in EU Legislation https://doi.org/10.3233/FAIA220467

Reference 24

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Computational Identification of Regulatory Statements in EU Legislation following

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Computational Identification of Regulatory Statements in EU Legislation Artificial Intelligence and Law 27, 117-139

Reference 26

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Computational Identification of Regulatory Statements in EU Legislation RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 27

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Computational Identification of Regulatory Statements in EU Legislation Efficient Estimation of Word Representations in Vector Space

Reference 29

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This paper cites In Proceedings of the International Conference on Artificial Intelligence and Law (ICAIL 2017), 159-168.

Computational Identification of Regulatory Statements in EU Legislation In Proceedings of the International Conference on Artificial Intelligence and Law (ICAIL 2017), 159-168

Reference 30

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This paper cites Legislative XML for the Semantic Web: Principles, Models, Standards for Document Management, 75-100.

Computational Identification of Regulatory Statements in EU Legislation Legislative XML for the Semantic Web: Principles, Models, Standards for Document Management, 75-100

Reference 32

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This paper cites In Proceedings of 19th International Conference on Artificial Intelligence and Law (ICAIL 2023), 187-196.

Computational Identification of Regulatory Statements in EU Legislation In Proceedings of 19th International Conference on Artificial Intelligence and Law (ICAIL 2023), 187-196

Reference 33

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Computational Identification of Regulatory Statements in EU Legislation RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 35

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Computational Identification of Regulatory Statements in EU Legislation In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations

Reference 37

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Computational Identification of Regulatory Statements in EU Legislation Agent-Specific Deontic Modality Detection in Legal Language

Reference 38

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Computational Identification of Regulatory Statements in EU Legislation DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 39

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Computational Identification of Regulatory Statements in EU Legislation Unresolved cited work

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Computational Identification of Regulatory Statements in EU Legislation Information Processing and Management 60(4):103374

Reference 41

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Computational Identification of Regulatory Statements in EU Legislation https://doi.org/10.3233/978-1-61499-609-5-189

Reference 42

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Computational Identification of Regulatory Statements in EU Legislation American political science review 89, 3, 582-600

Reference 1995

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Computational Identification of Regulatory Statements in EU Legislation Princeton University Press

Reference 2005

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Computational Identification of Regulatory Statements in EU Legislation Springer Berlin Heidelberg

Reference 2011

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Computational Identification of Regulatory Statements in EU Legislation In Proceedings of the International Semantic Web Conference (ISWC 2013), 151-166

Reference 2013

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Computational Identification of Regulatory Statements in EU Legislation In Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP), 1532-1543

Reference 2014

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Computational Identification of Regulatory Statements in EU Legislation Reasoning Web

Reference 2015

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This paper cites https://doi.org/10.1145/2939672.2939785.

Computational Identification of Regulatory Statements in EU Legislation https://doi.org/10.1145/2939672.2939785

Reference 2016

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Computational Identification of Regulatory Statements in EU Legislation A Unified Approach to Interpreting Model Predictions

Reference 2017

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Computational Identification of Regulatory Statements in EU Legislation Obligation and Prohibition Extraction Using Hierarchical RNNs

Reference 2018

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Observation eff49a8c-fd06-4802-a43f-c93cc22290e5 · outbound

This paper cites In Proceedings of the Natural Legal Language Processing Workshop.

Computational Identification of Regulatory Statements in EU Legislation In Proceedings of the Natural Legal Language Processing Workshop

Reference 2019

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 593f3b3e-4913-4618-a9cf-067aae47f2ac · outbound

This paper cites LEGAL-BERT: The Muppets straight out of Law School.

Computational Identification of Regulatory Statements in EU Legislation LEGAL-BERT: The Muppets straight out of Law School

Reference 2020

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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This paper cites In Proceedings of the 29th ACM joint meeting on European software engineering conference and symposium on the foundations of software engineering, 1275-1280.

Computational Identification of Regulatory Statements in EU Legislation In Proceedings of the 29th ACM joint meeting on European software engineering conference and symposium on the foundations of software engineering, 1275-1280

Reference 2021

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9b82cf85-751c-4a92-9c48-3c1ec7ce5145 · outbound

This paper cites In Proceedings of SAI Intelligent Systems Conference, 54-73.

Computational Identification of Regulatory Statements in EU Legislation In Proceedings of SAI Intelligent Systems Conference, 54-73

Reference 2022

Resolution
verified exact
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Source-reported events for the cited work

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Observation 36d777b7-13a5-4ee6-97be-fd1135e404a0 · outbound

This paper cites must” and “shall.

Computational Identification of Regulatory Statements in EU Legislation must” and “shall

Reference 2023

Resolution
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Observation 3752c032-0b50-490c-af0e-0a80a79035ee · outbound

This paper cites University of Luxembourg Law.

Computational Identification of Regulatory Statements in EU Legislation University of Luxembourg Law

Reference 2024

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Source-reported events for the cited work

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Observation c7ff8a75-c8bb-4404-bbae-5740d6ca847a · outbound

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Computational Identification of Regulatory Statements in EU Legislation Unresolved cited work

Reference 4493

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Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.