Paper Citation Record · LEDGER

Pre-training a Transformer-Based Generative Model Using a Small Sepedi Dataset

As of 15 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2501.15281.

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

pith.paper-citation-record.v1
2501.15281 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:29:29.150186Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

36 of 36 outbound references displayed

verified exact9
verified fuzzy16
unresolved10
parse uncertain0
malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation edb96286-0830-4481-839b-398e9de13614 · outbound

This paper cites UPB Scientific Bulletin84(4) (2022).

Pre-training a Transformer-Based Generative Model Using a Small Sepedi Dataset UPB Scientific Bulletin84(4) (2022)

Reference 1

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Observation d37fddc3-2446-4feb-a4b6-85badd3f3adc · outbound

This paper cites an unresolved cited work.

Pre-training a Transformer-Based Generative Model Using a Small Sepedi Dataset Unresolved cited work

Reference 2

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Observation e8d80871-8b31-4faf-8830-b92aced1afeb · outbound

This paper cites International Journal of Computer Applications120(10), 33–38 (Jun 2015).

Pre-training a Transformer-Based Generative Model Using a Small Sepedi Dataset International Journal of Computer Applications120(10), 33–38 (Jun 2015)

Reference 3

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Observation a11a6ae3-e346-4b47-a750-ba2e381d720f · outbound

This paper cites In: Interspeech 2019.

Pre-training a Transformer-Based Generative Model Using a Small Sepedi Dataset In: Interspeech 2019

Reference 4

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Observation 21bef4be-c296-4e57-bbd2-4fa8ce45fdd7 · outbound

This paper cites In: Jurafsky, D., Chai, J., Schluter, N., Tetreault, J.

Pre-training a Transformer-Based Generative Model Using a Small Sepedi Dataset In: Jurafsky, D., Chai, J., Schluter, N., Tetreault, J

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:29.805214Z

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Observation c3db52bf-5523-4035-8f33-6d708f963386 · outbound

This paper cites In: Proceedings of the 2019 Conference of the North.

Pre-training a Transformer-Based Generative Model Using a Small Sepedi Dataset In: Proceedings of the 2019 Conference of the North

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:29.790842Z

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Observation 447e0861-da49-4ad3-a745-7b4368196a91 · outbound

This paper cites In: Interspeech 2019.

Pre-training a Transformer-Based Generative Model Using a Small Sepedi Dataset In: Interspeech 2019

Reference 7

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Observation 6012a208-35f0-42f6-9ca0-489d9dc4a2b1 · outbound

This paper cites In: Calzolari, N., Choukri, K., Declerck, T., DoÃĎÅÿan, M.U., Maegaard, B., Mariani, J., Moreno, A., Odijk, J., Piperidis, S.

Pre-training a Transformer-Based Generative Model Using a Small Sepedi Dataset In: Calzolari, N., Choukri, K., Declerck, T., DoÃĎÅÿan, M.U., Maegaard, B., Mariani, J., Moreno, A., Odijk, J., Piperidis, S

Reference 8

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Observation 72250a24-2c84-4077-9744-9596afcbbd3e · outbound

This paper cites In: Cohn, T.,He,Y.,Liu,Y.(eds.)FindingsoftheAssociationforComputationalLinguistics: EMNLP 2020.

Pre-training a Transformer-Based Generative Model Using a Small Sepedi Dataset In: Cohn, T.,He,Y.,Liu,Y.(eds.)FindingsoftheAssociationforComputationalLinguistics: EMNLP 2020

Reference 9

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Observation ec6f2ac5-8cda-409d-b8b8-f4a3a050a8bf · outbound

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Pre-training a Transformer-Based Generative Model Using a Small Sepedi Dataset Unresolved cited work

Reference 10

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Source-reported events for the cited work

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Observation 91c70665-63d2-4326-902e-0660182610aa · outbound

This paper cites In: Proceedings of the 56th Annual Meeting of the Association for Compu- tational Linguistics (Volume 1: Long Papers).

Pre-training a Transformer-Based Generative Model Using a Small Sepedi Dataset In: Proceedings of the 56th Annual Meeting of the Association for Compu- tational Linguistics (Volume 1: Long Papers)

Reference 11

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Observation 657c296c-b819-4aae-a7ff-4651e4909934 · outbound

This paper cites In: Bosselut, A., Chandu, K., Dhole, K., Gangal, V., Gehrmann, S., Jer- nite, Y., Novikova, J., Perez-Beltrachini, L.

Pre-training a Transformer-Based Generative Model Using a Small Sepedi Dataset In: Bosselut, A., Chandu, K., Dhole, K., Gangal, V., Gehrmann, S., Jer- nite, Y., Novikova, J., Perez-Beltrachini, L

Reference 12

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Observation f03db5a6-e9df-47ad-9329-aef1ecd54cb7 · outbound

This paper cites In: Toutanova, K., Rumshisky, A., Zettlemoyer, L., Hakkani-Tur, D., Beltagy, I., Bethard, S., Cotterell, R., Chakraborty, T., Zhou, Y.

Pre-training a Transformer-Based Generative Model Using a Small Sepedi Dataset In: Toutanova, K., Rumshisky, A., Zettlemoyer, L., Hakkani-Tur, D., Beltagy, I., Bethard, S., Cotterell, R., Chakraborty, T., Zhou, Y

Reference 13

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Observation 719616b3-bc01-479b-9048-96fdae16489a · outbound

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Pre-training a Transformer-Based Generative Model Using a Small Sepedi Dataset Unresolved cited work

Reference 14

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Observation 24f8c9a0-2f53-4e65-a4b7-10c69f68ae2f · outbound

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Pre-training a Transformer-Based Generative Model Using a Small Sepedi Dataset Unresolved cited work

Reference 15

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Observation b557988b-6081-4813-903c-08098d201d41 · outbound

This paper cites In: Mabuya, R., Ra- mukhadi, P., Setaka, M., Wagner, V., van Zaanen, M.

Pre-training a Transformer-Based Generative Model Using a Small Sepedi Dataset In: Mabuya, R., Ra- mukhadi, P., Setaka, M., Wagner, V., van Zaanen, M

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:29.690589Z

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Observation 94e6d77d-52e7-4fe3-a4f9-4fb1a282a706 · outbound

This paper cites In: Carpuat, M., de Marneffe, M.C., Meza Ruiz, I.V.

Pre-training a Transformer-Based Generative Model Using a Small Sepedi Dataset In: Carpuat, M., de Marneffe, M.C., Meza Ruiz, I.V

Reference 17

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Observation 102ae441-f767-48da-b741-0c3b3ca29051 · outbound

This paper cites In: Jurafsky, D., Chai, J., Schluter, N., Tetreault, J.

Pre-training a Transformer-Based Generative Model Using a Small Sepedi Dataset In: Jurafsky, D., Chai, J., Schluter, N., Tetreault, J

Reference 18

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Pre-training a Transformer-Based Generative Model Using a Small Sepedi Dataset Unresolved cited work

Reference 19

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Source-reported events for the cited work

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Observation 1461a5bc-1d52-46bf-9e1b-630f1396bf88 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence 33(01), 6843–6850 (Jul 2019).

Pre-training a Transformer-Based Generative Model Using a Small Sepedi Dataset Proceedings of the AAAI Conference on Artificial Intelligence 33(01), 6843–6850 (Jul 2019)

Reference 20

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Observation 47b3cb28-67ef-4043-b136-168326515294 · outbound

This paper cites In: 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI).

Pre-training a Transformer-Based Generative Model Using a Small Sepedi Dataset In: 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI)

Reference 21

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This paper cites In: Gurevych, I., Miyao, Y.

Pre-training a Transformer-Based Generative Model Using a Small Sepedi Dataset In: Gurevych, I., Miyao, Y

Reference 22

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Pre-training a Transformer-Based Generative Model Using a Small Sepedi Dataset Unresolved cited work

Reference 23

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Observation 6486cfba-da27-4bf6-88f3-a8cec822dbc7 · outbound

This paper cites openAI blog1(8), 9 (Feb 2019).

Pre-training a Transformer-Based Generative Model Using a Small Sepedi Dataset openAI blog1(8), 9 (Feb 2019)

Reference 24

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Observation 12b95f9e-4665-4421-b128-60f22b59a604 · outbound

This paper cites Journal of Machine Learning Research21(140), 1–67 (2020).

Pre-training a Transformer-Based Generative Model Using a Small Sepedi Dataset Journal of Machine Learning Research21(140), 1–67 (2020)

Reference 25

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Pre-training a Transformer-Based Generative Model Using a Small Sepedi Dataset In: Proceedings of South Africa Telecommu- nication Networks and Applications Conference (SATNAC)

Reference 26

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Pre-training a Transformer-Based Generative Model Using a Small Sepedi Dataset https://doi.org/10

Reference 27

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This paper cites Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence pp.

Pre-training a Transformer-Based Generative Model Using a Small Sepedi Dataset Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence pp

Reference 28

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Observation b7d00d7f-e156-4ca6-b885-c3b8c2cb78f3 · outbound

This paper cites In: Proceedings of the 27th International Conference on Neural Information Processing Systems - Volume 2.

Pre-training a Transformer-Based Generative Model Using a Small Sepedi Dataset In: Proceedings of the 27th International Conference on Neural Information Processing Systems - Volume 2

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:29.570598Z

Source-reported events for the cited work

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Observation 4bcc8034-2578-414e-8532-6f4f7382d32c · outbound

This paper cites From Machine Translation to Code-Switching: Generating High-Quality Code-Switched Text.

Pre-training a Transformer-Based Generative Model Using a Small Sepedi Dataset From Machine Translation to Code-Switching: Generating High-Quality Code-Switched Text

Reference 30

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Observation 77402354-c459-4624-b490-f21466cc48d4 · outbound

This paper cites In: Advances in Neural Information Processing Systems.

Pre-training a Transformer-Based Generative Model Using a Small Sepedi Dataset In: Advances in Neural Information Processing Systems

Reference 31

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Observation 81cabc3b-203f-4ea6-8724-dc6db46623ef · outbound

This paper cites APSIPA Transactions on Signal and Informa- tion Processing 13(2) (2024).

Pre-training a Transformer-Based Generative Model Using a Small Sepedi Dataset APSIPA Transactions on Signal and Informa- tion Processing 13(2) (2024)

Reference 32

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Observation d7982426-8697-4eca-acf6-4e0bd4cdb3e6 · outbound

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Pre-training a Transformer-Based Generative Model Using a Small Sepedi Dataset In: Calzolari, N., BÃČÂľchet, F., Blache, P., Choukri, K., Cieri, C., Declerck, T., Goggi, S., Isahara, H., Maegaard, B., Mariani, J., Mazo, H., Moreno, A., Odijk, J., Piperidis, S

Reference 33

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Observation c424c9a8-03fc-4cb1-b637-11e3b49beef0 · outbound

This paper cites Multilingual Transfer Learning for Code-Switched Language and Speech Neural Modeling.

Pre-training a Transformer-Based Generative Model Using a Small Sepedi Dataset Multilingual Transfer Learning for Code-Switched Language and Speech Neural Modeling

Reference 34

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Observation abd5ab71-410b-4fa7-afb6-727a93a6ea5b · outbound

This paper cites Journal of Big Data9(1), 39 (Apr 2022).

Pre-training a Transformer-Based Generative Model Using a Small Sepedi Dataset Journal of Big Data9(1), 39 (Apr 2022)

Reference 35

Resolution: verified exact; doi, observed 2026-08-10T14:29:29.186694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 677a601f-5577-4635-b38b-b6d248640468 · outbound

This paper cites In: 5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Con- ference Track Proceedings.

Pre-training a Transformer-Based Generative Model Using a Small Sepedi Dataset In: 5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Con- ference Track Proceedings

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:29:29.526811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.