Paper Citation Record · LEDGER

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification

As of 21 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2507.14590.

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

pith.paper-citation-record.v1
2507.14590 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:55:22.768305Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

37 of 37 outbound references displayed

verified exact0
verified fuzzy15
unresolved16
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7ff13ced-8c40-4001-b449-f76cfad16443 · outbound

This paper cites IEEE Transactions on Artificial Intelligence (2021).

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification IEEE Transactions on Artificial Intelligence (2021)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:55:23.107538Z

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Observation 04f850f4-7390-41cf-95e3-00bd5126461d · outbound

This paper cites Natural Language Engineering pp.

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification Natural Language Engineering pp

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:55:23.099897Z

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Observation 22f63f2b-3230-478f-a8e6-605dbf33dd46 · outbound

This paper cites Online Social Networks and Media (2021).

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification Online Social Networks and Media (2021)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:55:23.091436Z

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Observation 8b9ec03f-a1de-42e1-adb0-39e69bf85cf4 · outbound

This paper cites Advances in Neural Information Processing Systems33, 1877–1901 (2020).

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification Advances in Neural Information Processing Systems33, 1877–1901 (2020)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:55:23.082529Z

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Observation f64bef03-46e1-40e1-b056-43c0495a88ba · outbound

This paper cites an unresolved cited work.

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification Unresolved cited work

Reference 5

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Observation c5c69a17-9032-45ee-93cc-6e9dc250ee77 · outbound

This paper cites MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification.

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T15:55:22.898892Z

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Observation 36758f87-da47-4ced-9539-82ef2c42b802 · outbound

This paper cites AugGPT: Leveraging ChatGPT for Text Data Augmentation.

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification AugGPT: Leveraging ChatGPT for Text Data Augmentation

Reference 7

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Observation 5c1e8bf0-1c86-4923-b53d-67cf078fb0c0 · outbound

This paper cites GoEmotions: A Dataset of Fine-Grained Emotions.

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification GoEmotions: A Dataset of Fine-Grained Emotions

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T15:55:22.699072Z

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Observation d9a14a8b-a932-4912-a57a-214d3e77ef4f · outbound

This paper cites Data Augmentation for Low-Resource Neural Machine Translation.

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification Data Augmentation for Low-Resource Neural Machine Translation

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T15:55:22.869851Z

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Observation 0d57663b-89af-4be3-a19a-ca5d934a748e · outbound

This paper cites an unresolved cited work.

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification Unresolved cited work

Reference 10

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Source-reported events for the cited work

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Observation 356c0f7a-f73c-4ab6-b507-ce98a26561d1 · outbound

This paper cites GenAug: Data Augmentation for Finetuning Text Generators.

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification GenAug: Data Augmentation for Finetuning Text Generators

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T15:55:22.858736Z

Source-reported events for the cited work

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Observation 5281845c-c9b2-47ab-9cea-1416850cb7d0 · outbound

This paper cites Information Fusion114, 102692 (2025).

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification Information Fusion114, 102692 (2025)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:55:23.057071Z

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Observation 6b6c67e4-f90b-44b5-86d4-0e2a74db0dbe · outbound

This paper cites Proceedings of the National Academy of Sciences120(30) (2023).

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification Proceedings of the National Academy of Sciences120(30) (2023)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:55:23.049064Z

Source-reported events for the cited work

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Observation 4b9473ca-42cb-4583-aa14-034d3996aadd · outbound

This paper cites Information Fusion94, 43–65 (2023).

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification Information Fusion94, 43–65 (2023)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:55:23.040998Z

Source-reported events for the cited work

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Observation 3c1e5508-e6c2-4196-aa29-665ca46186ae · outbound

This paper cites Electronics 13(12), 2255 (2024).

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification Electronics 13(12), 2255 (2024)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:55:23.032497Z

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Observation 4c907018-cf6f-4f52-b7e9-4d9e342ca609 · outbound

This paper cites In: 2023 IEEE International Conference on Data Mining Workshops (ICDMW).

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification In: 2023 IEEE International Conference on Data Mining Workshops (ICDMW)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:55:23.022252Z

Source-reported events for the cited work

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Observation a73a45c0-2348-4f1a-a74b-edda1229ec7d · outbound

This paper cites Information Fusion (2023) Backtranslation and Paraphrasing in the LLM era? 15.

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification Information Fusion (2023) Backtranslation and Paraphrasing in the LLM era? 15

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:55:23.013128Z

Source-reported events for the cited work

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Observation 33dcaf2f-ddde-4470-bc1c-da5f26e1170b · outbound

This paper cites In: International conference on computational science.

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification In: International conference on computational science

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:55:23.004140Z

Source-reported events for the cited work

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Observation 6cadf598-dd68-40d4-bb56-7574ed5b8e38 · outbound

This paper cites Data Augmentation using Pre-trained Transformer Models.

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification Data Augmentation using Pre-trained Transformer Models

Reference 19

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Observation 2571e20e-cc59-41a3-b559-9f5747c946d8 · outbound

This paper cites ACM Transactions on Knowledge Discovery from Data (2023).

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification ACM Transactions on Knowledge Discovery from Data (2023)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:55:22.995299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0dce9ad5-4e5b-4949-b383-c9291b9baf74 · outbound

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Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:55:22.986613Z

Source-reported events for the cited work

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Observation bb868db3-d52c-4e5f-86e8-b908eb5c61b3 · outbound

This paper cites Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation.

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation

Reference 22

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 35f46e80-1147-41ec-b521-280b0db23938 · outbound

This paper cites The Parrot Dilemma: Human-Labeled vs. LLM-augmented Data in Classification Tasks.

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification The Parrot Dilemma: Human-Labeled vs. LLM-augmented Data in Classification Tasks

Reference 23

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Observation d5b91726-62af-40a9-8c64-089bf09c1c1e · outbound

This paper cites Information Fusion p.

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification Information Fusion p

Reference 24

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Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification Unresolved cited work

Reference 25

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Observation c337d2bc-fcd2-4c61-add9-c1346fd9636c · outbound

This paper cites an unresolved cited work.

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification Unresolved cited work

Reference 26

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Observation 347b126d-48bb-4fae-a10c-55c58aa48360 · outbound

This paper cites an unresolved cited work.

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification Unresolved cited work

Reference 27

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Observation 17f45402-1d24-4122-a5ba-d8508ead620e · outbound

This paper cites an unresolved cited work.

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification Unresolved cited work

Reference 28

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Observation 84a975cb-50ba-476a-b58b-527a1301da94 · outbound

This paper cites Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks.

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks

Reference 29

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Observation 7f435bf4-f407-4c64-975d-04af69b19fc0 · outbound

This paper cites In: 2023 IEEE International Conference on Data Mining Workshops (ICDMW).

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification In: 2023 IEEE International Conference on Data Mining Workshops (ICDMW)

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T15:55:22.751399Z

Source-reported events for the cited work

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Observation e6cdeea7-8fc7-434e-9840-7dd39981c8bf · outbound

This paper cites Personalized Large Language Models.

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification Personalized Large Language Models

Reference 31

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This paper cites In: Computational Science–ICCS 2019: 19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings, Part IV.

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification In: Computational Science–ICCS 2019: 19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings, Part IV

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:55:22.933110Z

Source-reported events for the cited work

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Observation 0e6cd786-3f4e-4c76-901f-a3736577874d · outbound

This paper cites Advances in Neural Information Processing Systems (2020).

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification Advances in Neural Information Processing Systems (2020)

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:55:22.924901Z

Source-reported events for the cited work

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Observation fe0ac062-b519-4539-bb34-31a26e29ca3b · outbound

This paper cites In: 2023 International Joint Conference on Neural Networks (IJCNN).

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification In: 2023 International Joint Conference on Neural Networks (IJCNN)

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:55:22.915792Z

Source-reported events for the cited work

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Observation 8f3d0bb5-3d28-4fa7-a3ae-6deefd5d474e · outbound

This paper cites GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation.

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation

Reference 35

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Source-reported events for the cited work

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Observation 4abc05be-4ace-416d-8e40-9e684d5cedff · outbound

This paper cites AugESC: Dialogue Augmentation with Large Language Models for Emotional Support Conversation.

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification AugESC: Dialogue Augmentation with Large Language Models for Emotional Support Conversation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T15:55:22.765755Z

Source-reported events for the cited work

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Observation 595ddbd6-4b78-4efe-b1b6-258496cfb7b7 · outbound

This paper cites an unresolved cited work.

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:55:22.906816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.