Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages | Paper Citation Record

Observation 0258ab58-c128-4b4c-b15c-b253902e7ed4 · outbound

This paper cites Towards afrocentric NLP for A frican languages: Where we are and where we can go.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Towards afrocentric NLP for A frican languages: Where we are and where we can go

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T20:57:37.365180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2304640-e77f-4928-9982-4636b79e6012 · outbound

This paper cites Masakhaner: Named entity recognition for african languages.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Masakhaner: Named entity recognition for african languages

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:57:50.361149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1cbd2635-dca8-45e4-9bcb-ea2d31b8fdd4 · outbound

This paper cites an unresolved cited work.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:57:50.255981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d8618293-318c-408f-b4df-d96c830d0bb1 · outbound

This paper cites PaLM 2 Technical Report.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages PaLM 2 Technical Report

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T20:57:37.639048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fc2d5b5-1e54-425c-9522-bb8d7a98a65e · outbound

This paper cites Composable sparse fine-tuning for cross-lingual transfer.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Composable sparse fine-tuning for cross-lingual transfer

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T20:57:37.741836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df420b43-01a0-4194-95ef-79db4b26ff73 · outbound

This paper cites On the cross-lingual transferability of monolingual representations.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages On the cross-lingual transferability of monolingual representations

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T20:57:37.814366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6b946de-dc09-45f5-a045-f2722daec495 · outbound

This paper cites Federated learning review: Fundamentals, enabling technologies, and future applications.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Federated learning review: Fundamentals, enabling technologies, and future applications

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T20:57:37.897977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acab61ea-6d94-4b45-b90b-c5a075b0ef27 · outbound

This paper cites B it F it: Simple parameter-efficient fine-tuning for transformer-based masked language-models.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages B it F it: Simple parameter-efficient fine-tuning for transformer-based masked language-models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T20:57:37.970976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e735a386-2754-4372-a0df-e1ce052afff2 · outbound

This paper cites Beutel, Taner Topal, Akhil Mathur, Xinchi Qiu, Javier Fernandez-Marques, Yan Gao, Lorenzo Sani, Kwing Hei Li, Titouan Parcollet, Pedro Porto Buarque de Gusmão, and Nicholas D.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Beutel, Taner Topal, Akhil Mathur, Xinchi Qiu, Javier Fernandez-Marques, Yan Gao, Lorenzo Sani, Kwing Hei Li, Titouan Parcollet, Pedro Porto Buarque de Gusmão, and Nicholas D

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:57:50.129861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a1d6dae1-fc26-4d8b-bebc-2ce4e837e445 · outbound

This paper cites an unresolved cited work.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:57:49.947045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a2e4018c-a296-4e9c-8607-342e0ee28d5f · outbound

This paper cites Language models are few-shot learners.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Language models are few-shot learners

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T20:57:38.299082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe6a9bb2-bdef-4ffc-b320-672b027bc27c · outbound

This paper cites Chau, Lucy H.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Chau, Lucy H

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T20:57:38.403855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6550da6-1616-4409-ab55-30f5f82cd50f · outbound

This paper cites Improving language plasticity via pretraining with active forgetting.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Improving language plasticity via pretraining with active forgetting

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:57:49.639289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 97838d18-2c71-466c-9a7c-a05522a919bd · outbound

This paper cites an unresolved cited work.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T20:57:38.579955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5eedfff-fe9f-45f6-8005-f7328369641d · outbound

This paper cites Improving multilingual models with language-clustered vocabularies.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Improving multilingual models with language-clustered vocabularies

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T20:57:38.684644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93de7a90-b94e-467e-861b-cce340ad509a · outbound

This paper cites Cross-Lingual Language Model Pretraining.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Cross-Lingual Language Model Pretraining

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:57:49.385640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8155934f-3c46-4734-b976-b3f96bb0e80a · outbound

This paper cites Bowman, Holger Schwenk, and Veselin Stoyanov.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Bowman, Holger Schwenk, and Veselin Stoyanov

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:57:49.283623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ec096e8b-5b90-4762-88f1-abbdd97ab9f2 · outbound

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

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Unsupervised cross-lingual representation learning at scale

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T20:57:38.961398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc594a1d-635f-44a6-83c7-2af51cb13362 · outbound

This paper cites A Primer on Pretrained Multilingual Language Models.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages A Primer on Pretrained Multilingual Language Models

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:57:43.989491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ddbd7c6a-d188-4721-9ec0-3d0b5f6f8edb · outbound

This paper cites A mericas NLI : Evaluating zero-shot natural language understanding of pretrained multilingual models in truly low-resource languages.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages A mericas NLI : Evaluating zero-shot natural language understanding of pretrained multilingual models in truly low-resource languages

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T20:57:39.170980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 377ba9e4-40b3-45c1-9dbd-a7e48b1054e9 · outbound

This paper cites Indo-European language and culture: An introduction.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Indo-European language and culture: An introduction

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:57:49.102839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 977512d0-a6e5-4fe7-85f2-38a16614a142 · outbound

This paper cites Inverting gradients-how easy is it to break privacy in federated learning? Advances in neural information processing systems, 33: 0 16937--16947, 2020.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Inverting gradients-how easy is it to break privacy in federated learning? Advances in neural information processing systems, 33: 0 16937--16947, 2020

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:57:48.953140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 27f724ea-608c-40cf-b1af-fb16ea91b575 · outbound

This paper cites Parameter-efficient transfer learning for NLP.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Parameter-efficient transfer learning for NLP

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:57:48.801800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d97f46ba-51b6-40b5-b082-331a7f35f910 · outbound

This paper cites Parameter-efficient transfer learning for nlp.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Parameter-efficient transfer learning for nlp

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:57:48.633496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6958244a-cc8a-4a50-96b4-77ced3f69ee9 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages LoRA: Low-Rank Adaptation of Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T20:57:39.712625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f774038-6df0-4bf6-9146-42aaeb8ca83c · outbound

This paper cites XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T20:57:39.815950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1815ad47-c943-4a01-8c43-3b152e56eb75 · outbound

This paper cites Evaluating gradient inversion attacks and defenses in federated learning.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Evaluating gradient inversion attacks and defenses in federated learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:57:48.488167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7e986b9e-7fbb-41eb-9b62-4b212540381a · outbound

This paper cites Garipov, Dmitry P.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Garipov, Dmitry P

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:57:48.356056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fcece939-e68e-40fa-8d2e-99cf9410da5b · outbound

This paper cites Kingma and Jimmy Ba.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Kingma and Jimmy Ba

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T20:57:40.077558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d46f322-1ba6-45ec-92e7-5a7e0c1717af · outbound

This paper cites Federated Learning: Strategies for Improving Communication Efficiency.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Federated Learning: Strategies for Improving Communication Efficiency

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T20:57:40.166598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b5e055e-6f83-499e-b565-6d27e0efeb0a · outbound

This paper cites From zero to hero: O n the limitations of zero-shot language transfer with multilingual T ransformers.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages From zero to hero: O n the limitations of zero-shot language transfer with multilingual T ransformers

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T20:57:40.243874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c5cd7ae-152b-4d96-80ee-0f1a890c7f57 · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T20:57:40.335119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93ae2e7f-5322-478a-b3e9-0d821443210e · outbound

This paper cites Prefix-tuning: Optimizing continuous prompts for generation.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Prefix-tuning: Optimizing continuous prompts for generation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T20:57:40.433690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7583b2d-ca3f-4065-b830-7cb9626ad3ce · outbound

This paper cites XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T20:57:40.519064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7f810b0-757c-48e2-aeb8-60be549c8e27 · outbound

This paper cites Federated learning in mobile edge networks: A comprehensive survey.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Federated learning in mobile edge networks: A comprehensive survey

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:57:48.198094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 00733c48-1502-4282-bb0f-39cb059475d4 · outbound

This paper cites F ed NLP : Benchmarking federated learning methods for natural language processing tasks.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages F ed NLP : Benchmarking federated learning methods for natural language processing tasks

Reference 36

Resolution: verified exact; doi, observed 2026-08-06T20:57:43.503098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3da5b5c6-d220-42c5-94e5-ad4514c7c662 · outbound

This paper cites Uriel and lang2vec: Representing languages as typological, geographical, and phylogenetic vectors.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Uriel and lang2vec: Representing languages as typological, geographical, and phylogenetic vectors

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:57:48.058123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1ea0b1df-62df-4559-8dc7-06f40c6c428d · outbound

This paper cites Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T20:57:40.843119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc9ae2a2-42ec-4b22-92ff-fd4837ab230f · outbound

This paper cites GPT Understands, Too.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages GPT Understands, Too

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T20:57:40.940440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea17dfd1-10a4-43d0-a3fd-33ac5634875d · outbound

This paper cites Seamlessm4t—massively multilingual & multimodal machine translation.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Seamlessm4t—massively multilingual & multimodal machine translation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:57:47.922114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4ebf8a4f-601c-4648-ba2f-f2d078215d9c · outbound

This paper cites Decoupled weight decay regularization.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Decoupled weight decay regularization

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T20:57:41.063803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e545f8dd-60d8-4492-9c4c-f1bcc4585c30 · outbound

This paper cites Findings of the americasnlp 2021 shared task on open machine translation for indigenous languages of the americas.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Findings of the americasnlp 2021 shared task on open machine translation for indigenous languages of the americas

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:57:47.728108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 445204e1-762a-4779-8e06-c2a54b31417a · outbound

This paper cites Learning language representations for typology prediction.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Learning language representations for typology prediction

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:57:47.555985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6e9c56c9-3119-4824-bb98-141be6d5c555 · outbound

This paper cites Peft: State-of-the-art parameter-efficient fine-tuning methods.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Peft: State-of-the-art parameter-efficient fine-tuning methods

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:57:47.390219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8fe320c6-ea2c-4971-a475-a86a97f2e23d · outbound

This paper cites Mini-model adaptation: Efficiently extending pretrained models to new languages via aligned shallow training.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Mini-model adaptation: Efficiently extending pretrained models to new languages via aligned shallow training

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:57:47.213856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b8462004-becc-4b99-9945-9ec4237d1a0e · outbound

This paper cites On-device Federated Learning with Flower.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages On-device Federated Learning with Flower

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:57:43.753632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dcdc1a0b-2a3c-4c3b-b555-cc0e4cf52881 · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Communication-efficient learning of deep networks from decentralized data

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:57:47.071291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b4430c6e-f924-43f5-aba8-1ee92b2581f4 · outbound

This paper cites NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment Analysis.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment Analysis

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T20:57:41.604162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41944a2f-ded5-4bc0-91a5-35dae892aea7 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Pytorch: An imperative style, high-performance deep learning library

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:57:46.771002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8feb0e53-93aa-4ed2-8008-8c68345cecbb · outbound

This paper cites MAD-X : A n A dapter- B ased F ramework for M ulti- T ask C ross- L ingual T ransfer.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages MAD-X : A n A dapter- B ased F ramework for M ulti- T ask C ross- L ingual T ransfer

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T20:57:41.739123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e668f0f0-1a2d-4c11-8cbb-4c7a6452def7 · outbound

This paper cites How multilingual is multilingual BERT ? In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pp.\ 4996--5001, Florence, Italy, July 2019 b.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages How multilingual is multilingual BERT ? In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pp.\ 4996--5001, Florence, Italy, July 2019 b

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T20:57:41.867603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72dd0315-f442-4898-a093-ee72d4c8d8da · outbound

This paper cites XCOPA : A multilingual dataset for causal commonsense reasoning.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages XCOPA : A multilingual dataset for causal commonsense reasoning

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T20:57:41.935792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a23f287-3300-43a8-83f6-1874bd49933a · outbound

This paper cites ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T20:57:42.044805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e22f54db-ffa6-4a3f-9908-558af7a31767 · outbound

This paper cites A first look into the carbon footprint of federated learning.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages A first look into the carbon footprint of federated learning

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:57:46.466989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bea534ba-e32b-4a3e-9bbc-050ab022ea83 · outbound

This paper cites Federated self-supervised learning for video understanding.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Federated self-supervised learning for video understanding

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:57:46.159309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ee45feaf-88d4-40f3-b8f8-c4d8974f8286 · outbound

This paper cites True few-shot learning with P rompts --- A real-world perspective.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages True few-shot learning with P rompts --- A real-world perspective

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T20:57:42.224740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4745cdfa-bc65-4b23-b040-8f39e0bbd9ef · outbound

This paper cites Logan IV, Eric Wallace, and Sameer Singh.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Logan IV, Eric Wallace, and Sameer Singh

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:57:45.881102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ca815f61-e442-46de-b2df-7b17aaebbd61 · outbound

This paper cites The sino-tibetan languages.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages The sino-tibetan languages

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:57:45.615645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2334fa08-6781-4f5c-a792-8b8ff50f448c · outbound

This paper cites Memorization without overfitting: Analyzing the training dynamics of large language models.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Memorization without overfitting: Analyzing the training dynamics of large language models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T20:57:42.470329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1f0363e-387b-4246-9715-b4b5f40b2889 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages LLaMA: Open and Efficient Foundation Language Models

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T20:57:42.504105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6170af88-d792-4f0d-9be1-7dfd89fdfb1c · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T20:57:42.578937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5ae7f59-5afb-4401-90c1-ed1098d08c64 · outbound

This paper cites The eu general data protection regulation (gdpr).

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages The eu general data protection regulation (gdpr)

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:57:45.357655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fafb14eb-3a00-491a-b80c-6ad08204b61e · outbound

This paper cites Fedkc: Federated knowledge composition for multilingual natural language understanding.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Fedkc: Federated knowledge composition for multilingual natural language understanding

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T20:57:42.700345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07304d87-e0ee-42a6-b124-f470c9207fc8 · outbound

This paper cites Federated learning with differential privacy: Algorithms and performance analysis.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Federated learning with differential privacy: Algorithms and performance analysis

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:57:45.083284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d080c11f-8aa7-444f-9b03-6c1b4eda31ed · outbound

This paper cites Pretrained models for multilingual federated learning.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Pretrained models for multilingual federated learning

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:57:44.809225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 255fd388-c6b5-4dc9-97bf-a7517a83c7bb · outbound

This paper cites Transformers: State-of-the-art natural language processing.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Transformers: State-of-the-art natural language processing

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-06T20:57:42.856208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e01cb2eb-8750-44a4-8f1e-d54dabb8efa5 · outbound

This paper cites Beto, bentz, becas: The surprising cross-lingual effectiveness of BERT.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Beto, bentz, becas: The surprising cross-lingual effectiveness of BERT

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T20:57:42.903860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5c11d2e-9aaf-4b21-8221-b0dd49d8ae40 · outbound

This paper cites Are all languages created equal in multilingual BERT ? In Proceedings of the 5th Workshop on Representation Learning for NLP, pp.\ 120--130, Online, July 2020.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Are all languages created equal in multilingual BERT ? In Proceedings of the 5th Workshop on Representation Learning for NLP, pp.\ 120--130, Online, July 2020

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-06T20:57:42.967118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d219da67-64dc-413d-97e5-c87d658a553b · outbound

This paper cites Protea: Client profiling within federated systems using flower.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Protea: Client profiling within federated systems using flower

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:57:44.463361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4ff4cdff-84a3-4299-bc39-dd9339afc1a8 · outbound

This paper cites The U nited N ations parallel corpus v1.0.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages The U nited N ations parallel corpus v1.0

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:57:44.278810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 02663925-86e9-41d9-b33d-d10991660df4 · outbound

This paper cites write newline.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages write newline

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-06T20:57:43.143993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b30409ff-86a4-4a47-9356-00d5160bd5ed · outbound

This paper cites @esa (Ref.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages @esa (Ref

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T20:57:43.192382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e7733b9-790f-48c3-ad80-763779364c2e · outbound

This paper cites an unresolved cited work.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Unresolved cited work

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-06T20:57:43.276820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a2d09f3-92cd-4564-99a2-f444296c217a · outbound

This paper cites an unresolved cited work.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Unresolved cited work

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-06T20:57:43.344331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers