Paper Citation Record · LEDGER

BHARATI: Morphology-Aware Tokenizers for Classical Indian Languages with Subword Fertility Analysis

As of 9 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2607.23319.

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pith.paper-citation-record.v1
2607.23319 v1

Coverage vector

measured 44 of 44 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-07-31T23:49:14.789992Z

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Reference resolution

44 of 44 outbound references displayed

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Outbound references

Observation d614ecf1-ec24-400d-abfc-def344aada7f · outbound

This paper cites Neural machine translation of rare words with subword units.

BHARATI: Morphology-Aware Tokenizers for Classical Indian Languages with Subword Fertility Analysis Neural machine translation of rare words with subword units

Reference 1

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Observation 6e403881-22e3-406c-871d-a9fb5121ec87 · outbound

This paper cites BERT: Pre-training of deep bidirectional transformers for language understanding.

BHARATI: Morphology-Aware Tokenizers for Classical Indian Languages with Subword Fertility Analysis BERT: Pre-training of deep bidirectional transformers for language understanding

Reference 2

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Observation 17b5a600-ccdf-47ff-a91e-3b2c2b71c3d0 · outbound

This paper cites SentencePiece: A simple and language independent subword tokenizer and detokenizer for neural text processing.

BHARATI: Morphology-Aware Tokenizers for Classical Indian Languages with Subword Fertility Analysis SentencePiece: A simple and language independent subword tokenizer and detokenizer for neural text processing

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-31T23:49:10.931354Z

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Observation 8afba8f7-16bf-4d88-83a8-5fab1838c950 · outbound

This paper cites Language Model Tokenizers Introduce Unfairness Between Languages.

BHARATI: Morphology-Aware Tokenizers for Classical Indian Languages with Subword Fertility Analysis Language Model Tokenizers Introduce Unfairness Between Languages

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-31T23:49:11.023254Z

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Observation 882e771e-4b02-4828-9b3d-76a29ad1c9d4 · outbound

This paper cites A distributed platform for Sanskrit processing.

BHARATI: Morphology-Aware Tokenizers for Classical Indian Languages with Subword Fertility Analysis A distributed platform for Sanskrit processing

Reference 5

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Observation 07b9e22a-4792-4129-9796-3c63cc1957ad · outbound

This paper cites Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation.

BHARATI: Morphology-Aware Tokenizers for Classical Indian Languages with Subword Fertility Analysis Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-31T23:49:11.198955Z

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Observation dd746852-4738-48ad-a10d-4a6c7553cf46 · outbound

This paper cites Language models are unsupervised multitask learners.OpenAI blog, 2019.

BHARATI: Morphology-Aware Tokenizers for Classical Indian Languages with Subword Fertility Analysis Language models are unsupervised multitask learners.OpenAI blog, 2019

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-31T23:49:11.246182Z

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Observation 995d4bf7-b8a7-4cb7-bc9e-8c09bfd4737a · outbound

This paper cites Research on morphological knowledge-guided low-resource agglutinative languages- chinese translation.Complex and Intelligent Systems, 11, 2025.

BHARATI: Morphology-Aware Tokenizers for Classical Indian Languages with Subword Fertility Analysis Research on morphological knowledge-guided low-resource agglutinative languages- chinese translation.Complex and Intelligent Systems, 11, 2025

Reference 8

Resolution: verified exact; doi, observed 2026-07-31T23:51:46.811799Z

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Observation 0bfe206c-c069-4711-8806-52bd3f91175a · outbound

This paper cites Analysing unified embedding with morphological insight for multilingual text representation.

BHARATI: Morphology-Aware Tokenizers for Classical Indian Languages with Subword Fertility Analysis Analysing unified embedding with morphological insight for multilingual text representation

Reference 9

Resolution: verified exact; doi, observed 2026-07-31T23:51:46.740136Z

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Observation 91410b1e-c194-443e-8075-4adc58336991 · outbound

This paper cites Unsupervised cross-lingual representation learning at scale.

BHARATI: Morphology-Aware Tokenizers for Classical Indian Languages with Subword Fertility Analysis Unsupervised cross-lingual representation learning at scale

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-31T23:49:11.480850Z

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Observation 1f663dec-ce1b-4fc6-a3c2-cbb67bf76527 · outbound

This paper cites Khapra, and Pratyush Kumar.

BHARATI: Morphology-Aware Tokenizers for Classical Indian Languages with Subword Fertility Analysis Khapra, and Pratyush Kumar

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-31T23:49:11.533199Z

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Observation 8ca9200a-ee92-4a4c-aef5-08dcbcae57af · outbound

This paper cites Khapra, and Pratyush Kumar.

BHARATI: Morphology-Aware Tokenizers for Classical Indian Languages with Subword Fertility Analysis Khapra, and Pratyush Kumar

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-31T23:49:11.647773Z

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Observation 11926be5-b701-46a0-b51a-7631b4e167b6 · outbound

This paper cites Tokenization and representation biases in multilingual models on dialectal nlp tasks.

BHARATI: Morphology-Aware Tokenizers for Classical Indian Languages with Subword Fertility Analysis Tokenization and representation biases in multilingual models on dialectal nlp tasks

Reference 13

Resolution: verified exact; doi, observed 2026-07-31T23:51:46.628359Z

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Observation 148497e6-0a29-4f8a-8640-3a8122d1a904 · outbound

This paper cites Kren-ne: A multilingual tokenization framework for northeast indian languages.

BHARATI: Morphology-Aware Tokenizers for Classical Indian Languages with Subword Fertility Analysis Kren-ne: A multilingual tokenization framework for northeast indian languages

Reference 14

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Observation 89f847b9-0bad-4cb7-aabd-62373d520b85 · outbound

This paper cites Domain-specific language model pretraining for biomedical natural language processing.ACM Transactions on Computing for Healthcare, 3(1):1–23, 2021.

BHARATI: Morphology-Aware Tokenizers for Classical Indian Languages with Subword Fertility Analysis Domain-specific language model pretraining for biomedical natural language processing.ACM Transactions on Computing for Healthcare, 3(1):1–23, 2021

Reference 15

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Observation 467f8ff6-b286-4a9d-84b7-6599968c9e51 · outbound

This paper cites LEGAL-BERT: The muppets straight out of law school.

BHARATI: Morphology-Aware Tokenizers for Classical Indian Languages with Subword Fertility Analysis LEGAL-BERT: The muppets straight out of law school

Reference 16

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Observation c733f826-6029-4c37-a31b-826b3a7e142c · outbound

This paper cites Pre- 30 training via paraphrasing.

BHARATI: Morphology-Aware Tokenizers for Classical Indian Languages with Subword Fertility Analysis Pre- 30 training via paraphrasing

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-31T23:49:12.178977Z

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Observation f4a87f89-3c52-4edb-9962-cddedea3266f · outbound

This paper cites Word segmentation for classical Chinese: New standards and a study on using pre-training.

BHARATI: Morphology-Aware Tokenizers for Classical Indian Languages with Subword Fertility Analysis Word segmentation for classical Chinese: New standards and a study on using pre-training

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-31T23:49:12.261171Z

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Observation c7c6ca47-68cc-49c7-8d2f-fb46e6bda83f · outbound

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BHARATI: Morphology-Aware Tokenizers for Classical Indian Languages with Subword Fertility Analysis Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-31T23:49:12.385847Z

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Observation 3fc05e64-4332-4041-8fad-a8faac0e4818 · outbound

This paper cites Tokenization with factorized subword encoding.Findings of the Association for Computational Linguistics: ACL 2023, pages 14143–14161, 2023.

BHARATI: Morphology-Aware Tokenizers for Classical Indian Languages with Subword Fertility Analysis Tokenization with factorized subword encoding.Findings of the Association for Computational Linguistics: ACL 2023, pages 14143–14161, 2023

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-31T23:49:12.476342Z

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Observation 9842564e-47b7-4332-aab7-01ad7a749efe · outbound

This paper cites Bpe gets picky: Efficient vocabulary refinement during tokenizer training.Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 16587–16604,.

BHARATI: Morphology-Aware Tokenizers for Classical Indian Languages with Subword Fertility Analysis Bpe gets picky: Efficient vocabulary refinement during tokenizer training.Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 16587–16604,

Reference 21

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Observation 96d877e0-47d8-4c89-afff-f8808c195ad2 · outbound

This paper cites Tokenization efficiency in code-switched text: Comparing sentencepiece and byte-pair encoding on taglish.TechRxiv Preprint, 2025.

BHARATI: Morphology-Aware Tokenizers for Classical Indian Languages with Subword Fertility Analysis Tokenization efficiency in code-switched text: Comparing sentencepiece and byte-pair encoding on taglish.TechRxiv Preprint, 2025

Reference 22

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Observation 577f587a-72a3-4c3b-9ced-9faa31250f57 · outbound

This paper cites Tokenization matters: Improving zero-shot ner for indic languages.IEEE International Conference on Electro Information Technology, pages 456–462, 2025.

BHARATI: Morphology-Aware Tokenizers for Classical Indian Languages with Subword Fertility Analysis Tokenization matters: Improving zero-shot ner for indic languages.IEEE International Conference on Electro Information Technology, pages 456–462, 2025

Reference 23

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Reference 24

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Reference 25

Resolution: verified exact; doi, observed 2026-07-31T23:51:46.432662Z

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This paper cites Morphology-aware segmentation and tokenization for turkic languages: A cse-guided framework (the kazakh case).Information Switzerland, 17, 2026.

BHARATI: Morphology-Aware Tokenizers for Classical Indian Languages with Subword Fertility Analysis Morphology-aware segmentation and tokenization for turkic languages: A cse-guided framework (the kazakh case).Information Switzerland, 17, 2026

Reference 26

Resolution: verified exact; doi, observed 2026-07-31T23:51:46.341766Z

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This paper cites Multilingual tokenization efficiency in large language models: A study on indian languages.SSRN Electronic Journal, 2025.

BHARATI: Morphology-Aware Tokenizers for Classical Indian Languages with Subword Fertility Analysis Multilingual tokenization efficiency in large language models: A study on indian languages.SSRN Electronic Journal, 2025

Reference 27

Resolution: verified exact; doi, observed 2026-07-31T23:51:46.226773Z

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Reference 28

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Reference 29

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This paper cites One model is all you need: Byt5-sanskrit, a unified model for sanskrit nlp tasks.

BHARATI: Morphology-Aware Tokenizers for Classical Indian Languages with Subword Fertility Analysis One model is all you need: Byt5-sanskrit, a unified model for sanskrit nlp tasks

Reference 30

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Reference 31

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Reference 32

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Reference 33

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BHARATI: Morphology-Aware Tokenizers for Classical Indian Languages with Subword Fertility Analysis Multilingual denoising pre-training for neural machine translation

Reference 34

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Reference 35

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This paper cites Nlp - tokenization and subword models.IDA-CL Working Papers, 2025.

BHARATI: Morphology-Aware Tokenizers for Classical Indian Languages with Subword Fertility Analysis Nlp - tokenization and subword models.IDA-CL Working Papers, 2025

Reference 36

Resolution: verified exact; doi, observed 2026-07-31T23:51:45.747590Z

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Reference 37

Resolution: verified exact; doi, observed 2026-07-31T23:51:45.667817Z

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This paper cites A morphological tokenizer for generating vocabularies for large language models in spanish.Procesamiento del Lenguaje Natural, 75:29–40, 2025.

BHARATI: Morphology-Aware Tokenizers for Classical Indian Languages with Subword Fertility Analysis A morphological tokenizer for generating vocabularies for large language models in spanish.Procesamiento del Lenguaje Natural, 75:29–40, 2025

Reference 38

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This paper cites Maibert: A pre-training corpus and language model for low-resourced maithili language.

BHARATI: Morphology-Aware Tokenizers for Classical Indian Languages with Subword Fertility Analysis Maibert: A pre-training corpus and language model for low-resourced maithili language

Reference 39

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This paper cites Spade-bert: Multilingual bert-based model with trigram-sensitive tokenization, tuned for depression detection in spanish texts.AI Switzerland, 7, 2026.

BHARATI: Morphology-Aware Tokenizers for Classical Indian Languages with Subword Fertility Analysis Spade-bert: Multilingual bert-based model with trigram-sensitive tokenization, tuned for depression detection in spanish texts.AI Switzerland, 7, 2026

Reference 40

Resolution: verified exact; doi, observed 2026-07-31T23:51:45.536664Z

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BHARATI: Morphology-Aware Tokenizers for Classical Indian Languages with Subword Fertility Analysis Unresolved cited work

Reference 41

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This paper cites Analysis of subword tokenization approaches for turkish language.2023 31st Signal Processing and Communications Applications Conference (SIU), pages 1–4, 2023.

BHARATI: Morphology-Aware Tokenizers for Classical Indian Languages with Subword Fertility Analysis Analysis of subword tokenization approaches for turkish language.2023 31st Signal Processing and Communications Applications Conference (SIU), pages 1–4, 2023

Reference 42

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Reference 2024

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Reference 2025

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