Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:03:37.600583Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 100 of 127 outbound references and 0 inbound Pith citation observations for arXiv:2507.21108.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:03:37.600583Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
100 of 127 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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A Survey of Classification Tasks and Approaches for Legal Contracts In: Proceedings of the 2016 ACM SIGSAC conference on computer and communications security, pp 308--318
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A Survey of Classification Tasks and Approaches for Legal Contracts In: Proceedings of Sixth International Congress on Information and Communication Technology: ICICT 2021, London, Volume 4, Springer, pp 763--771
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A Survey of Classification Tasks and Approaches for Legal Contracts In: 2018 International Joint Conference on Neural Networks (IJCNN), IEEE, pp 1--8
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A Survey of Classification Tasks and Approaches for Legal Contracts PhD thesis
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A Survey of Classification Tasks and Approaches for Legal Contracts Artificial intelligence and law 32(3):839--862
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A Survey of Classification Tasks and Approaches for Legal Contracts In: The 5th Workshop on e-Commerce and NLP, ECNLP 2022, Association for Computational Linguistics (ACL), pp 199--209
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A Survey of Classification Tasks and Approaches for Legal Contracts Artificial Intelligence and Law 27(2):171--198
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A Survey of Classification Tasks and Approaches for Legal Contracts In: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pp 254--259
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A Survey of Classification Tasks and Approaches for Legal Contracts In: Findings of the Association for Computational Linguistics: EMNLP 2020, pp 2898--2904
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A Survey of Classification Tasks and Approaches for Legal Contracts arXiv preprint arXiv:231014735
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A Survey of Classification Tasks and Approaches for Legal Contracts In: The Twelfth International Conference on Learning Representations
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A Survey of Classification Tasks and Approaches for Legal Contracts arXiv preprint arXiv:240303883
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A Survey of Classification Tasks and Approaches for Legal Contracts In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pp 8440--8451
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A Survey of Classification Tasks and Approaches for Legal Contracts In: Proceedings of the Australasian Language Technology Association Workshop
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A Survey of Classification Tasks and Approaches for Legal Contracts arXiv preprint arXiv:150103726
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A Survey of Classification Tasks and Approaches for Legal Contracts The modern law review 82(4):633--664
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A Survey of Classification Tasks and Approaches for Legal Contracts In: Proceedings of the 16th International Conference on Computational Processing of Portuguese-Vol
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A Survey of Classification Tasks and Approaches for Legal Contracts Oxford University Press, USA
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A Survey of Classification Tasks and Approaches for Legal Contracts In: Proceedings of the Twelfth Language Resources and Evaluation Conference, pp 2045--2053
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A Survey of Classification Tasks and Approaches for Legal Contracts In: Proceedings of the 2014 international conference on Autonomous agents and multi-agent systems, pp 101--108
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A Survey of Classification Tasks and Approaches for Legal Contracts In: International conference on artificial intelligence and statistics, PMLR, pp 1287--1296
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A Survey of Classification Tasks and Approaches for Legal Contracts In: Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: Industry Track, pp 409--416
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A Survey of Classification Tasks and Approaches for Legal Contracts In: Wang M, Zitouni I (eds) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track
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A Survey of Classification Tasks and Approaches for Legal Contracts arXiv preprint arXiv:210906862
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A Survey of Classification Tasks and Approaches for Legal Contracts In: Bouamor H, Pino J, Bali K (eds) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
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A Survey of Classification Tasks and Approaches for Legal Contracts https://scholar.google.com/, accessed: 10 March 2025
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A Survey of Classification Tasks and Approaches for Legal Contracts In: Findings of the Association for Computational Linguistics: EMNLP 2023, pp 9647--9676
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A Survey of Classification Tasks and Approaches for Legal Contracts Neural Computing and Applications 33:17569--17587
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A Survey of Classification Tasks and Approaches for Legal Contracts Advances in Neural Information Processing Systems 35:29217--29234
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A Survey of Classification Tasks and Approaches for Legal Contracts arXiv preprint arXiv:230515062
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A Survey of Classification Tasks and Approaches for Legal Contracts In: Proceedings of the third annual ACM Bangalore conference, pp 1--5
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A Survey of Classification Tasks and Approaches for Legal Contracts In: 2020 IEEE 28th international requirements engineering conference (RE), IEEE, pp 147--157
Reference 84
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Reference 87
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A Survey of Classification Tasks and Approaches for Legal Contracts Harvard Business Press
Reference 88
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Reference 89
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Reference 90
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Reference 91
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A Survey of Classification Tasks and Approaches for Legal Contracts PhD thesis, Wageningen University and Research
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A Survey of Classification Tasks and Approaches for Legal Contracts Journal of empirical legal studies 20(4):852--894
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A Survey of Classification Tasks and Approaches for Legal Contracts In: Proceedings of the twelfth language resources and evaluation conference, pp 1235--1241
Reference 100
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No inbound Pith citation observations are available.