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Paper Citation Record · LEDGER

Cross-Lingual Transfer for Low-Resource Natural Language Processing

As of 10 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2502.02722.

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

pith.paper-citation-record.v1
2502.02722 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:28:08.555514Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

22 of 22 outbound references displayed

  • verified exact1
  • verified fuzzy11
  • unresolved7
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b47ff132-3ad7-4c4a-9ffb-571c5f6337d9 · outbound

This paper cites With this aim in mind, in the last few years a number of large language models (LLMs) have been trained or adapted to the medi- cal domain.

Cross-Lingual Transfer for Low-Resource Natural Language Processing With this aim in mind, in the last few years a number of large language models (LLMs) have been trained or adapted to the medi- cal domain

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:28:08.775105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation f7323f11-d387-4f7c-b6ec-a309f527ce9a · outbound

This paper cites , 2022; Wu et al.

Cross-Lingual Transfer for Low-Resource Natural Language Processing , 2022; Wu et al

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:28:08.764653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T11:28:08.506100Z digest=sha256:45cb9b1490e884935d38e4a53b88e0f5fcbaaa4f68dba73ef7731fe828b76ad8

Observation 8b6e165e-0260-4381-940d-0012ff771819 · outbound

This paper cites This is even more challenging for non-English lan- guages, as the availability of data for other lan- guages is in general more restricted.

Cross-Lingual Transfer for Low-Resource Natural Language Processing This is even more challenging for non-English lan- guages, as the availability of data for other lan- guages is in general more restricted

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:28:08.744375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 0c71e348-1d53-43b7-9e66-5013e6c434bc · outbound

This paper cites , 8Sourced from https://app.electricitymaps.

Cross-Lingual Transfer for Low-Resource Natural Language Processing , 8Sourced from https://app.electricitymaps

Reference 5

Resolution
malformed identifier
raw_fallback, observed 2026-08-09T11:28:08.713923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T11:28:08.523133Z digest=sha256:9ce2a7c07e4eb71c029a2485ab352ae175e63e70a4e7adaec250c9559fd77738

Observation 9ab12647-6af7-4605-a14b-20c7547dbed8 · outbound

This paper cites an unresolved cited work.

Cross-Lingual Transfer for Low-Resource Natural Language Processing Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-09T11:28:08.784516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T11:28:08.498300Z digest=sha256:351f8de5e955385baaf5ffc7db340c815e65358ff4755106b043d4d54fbc5fa6

Observation 73ef0e3a-05ec-4ddb-ba7c-79900e9ea2a9 · outbound

This paper cites <Disease> Patient with dilated car- diomyopathy.

Cross-Lingual Transfer for Low-Resource Natural Language Processing <Disease> Patient with dilated car- diomyopathy

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:28:08.682698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T11:28:08.534352Z digest=sha256:b34320cdff9e71ef245bfdc56b5cb168b20580e88962fb9a7dc2febcd1349b9c

Observation 60e1677a-6856-4872-b279-90c2c0af50ae · outbound

This paper cites Its development has required the compilation of a new 3B word corpus in English, French, Italian and Spanish specific to the medi- cal domain.

Cross-Lingual Transfer for Low-Resource Natural Language Processing Its development has required the compilation of a new 3B word corpus in English, French, Italian and Spanish specific to the medi- cal domain

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:28:08.672545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T11:28:08.538007Z digest=sha256:1b187d8b3e73ab9371c4ee100ec213dac9a63516889a11863eb373ac2746302d

Observation 0d9957fb-1375-4563-a1d5-ce04752199f6 · outbound

This paper cites These models, to name but a few, include SciFive ( Phan et al.

Cross-Lingual Transfer for Low-Resource Natural Language Processing These models, to name but a few, include SciFive ( Phan et al

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:28:08.754857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T11:28:08.509334Z digest=sha256:6c78c9c5da3159a65f9d50db3ee21fbcef2ba73d4c183015dab494b595317351

Observation 2186e02e-b445-4aae-9e1c-9f00ac306504 · outbound

This paper cites Scaling Instruction-Finetuned Language Models.

Cross-Lingual Transfer for Low-Resource Natural Language Processing Scaling Instruction-Finetuned Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-09T11:28:08.544629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:28:08.544629Z digest=sha256:3ac279c6b02e41007eee2f5f1e3437a8da0085cc2aff31fc19d777d539a9df1c

Observation 9214812f-f0b6-4645-9246-2aa7229d551b · outbound

This paper cites EDP French corpus, text format.

Cross-Lingual Transfer for Low-Resource Natural Language Processing EDP French corpus, text format

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:28:08.724436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T11:28:08.519505Z digest=sha256:f2fa592e23db96eee8e3d262a371888b67c86ac92a0f260eb1edf17c1e82c19b

Observation d10cc7b1-582d-4bab-a05e-21d5077380ce · outbound

This paper cites This means that, given a text input, it learns to generate a text as output.

Cross-Lingual Transfer for Low-Resource Natural Language Processing This means that, given a text input, it learns to generate a text as output

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:28:08.693356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T11:28:08.530127Z digest=sha256:ab184a115bb4a883d9ce2053b90cd28a1fb715f51d42e92ee67af04425efa98c

Observation a02be855-ae02-44ca-b5f5-8240f4bc5522 · outbound

This paper cites Iker García-Ferrero is supported by a doctoral grant from the Basque Government (PRE_2021_2_0219).

Cross-Lingual Transfer for Low-Resource Natural Language Processing Iker García-Ferrero is supported by a doctoral grant from the Basque Government (PRE_2021_2_0219)

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-09T11:28:08.541139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:28:08.541139Z digest=sha256:24979f88dc4c71f807ce450de1e6850edbf485e09436642a9b262a530748d87f

Observation df2cf985-7d50-482f-8dd5-b961504fd761 · outbound

This paper cites In Proceed- ings of the 61st Annual Meeting of the Associ- ation for Computational Linguistics (Volume 1: Long Papers), ACL 2023, T oronto, Canada, July 9-14, 2023, pages 1082–1117.

Cross-Lingual Transfer for Low-Resource Natural Language Processing In Proceed- ings of the 61st Annual Meeting of the Associ- ation for Computational Linguistics (Volume 1: Long Papers), ACL 2023, T oronto, Canada, July 9-14, 2023, pages 1082–1117

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:28:08.661353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T11:28:08.551906Z digest=sha256:37342f51c92f72300be86f4e3c52c23a092fada845f437afd70ae8ae13322739

Observation e499983b-eca2-4dc3-a568-4a94f6288410 · outbound

This paper cites SciFive: a text-to-text transformer model for biomedical literature.

Cross-Lingual Transfer for Low-Resource Natural Language Processing SciFive: a text-to-text transformer model for biomedical literature

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-09T11:28:08.555514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:28:08.555514Z digest=sha256:5b918f13ff3868260f66ee8f7af838cc418703a7602c4101d26840798a663fc0

Observation b7aac6d8-64c3-4939-a671-1d5b2ca3b93d · outbound

This paper cites Cross-lingual Argument Mining in the Medical Domain.

Cross-Lingual Transfer for Low-Resource Natural Language Processing Cross-lingual Argument Mining in the Medical Domain

Reference 2001

Resolution
metadata mismatch
local_arxiv, observed 2026-08-09T11:28:08.626949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T11:28:08.494312Z digest=sha256:d990b209a92a7002ba9d51fa3cfaf234c461e33f74c8752a8549cf0bd918ddc7

Observation 1702168d-3c3f-497f-9744-3f4a11b15486 · outbound

This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.

Cross-Lingual Transfer for Low-Resource Natural Language Processing GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 2011

Resolution
unresolved
no resolver link, observed 2026-08-09T11:28:08.481553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:28:08.481553Z digest=sha256:63a95f5a359bfa909fe20008dbf3ed3a1f9816759a3e87497136be35d31d053e

Observation d8dd0c3b-bb7c-4e59-ae59-1632cd6c507c · outbound

This paper cites In Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 644–648, Atlanta, Georgia.

Cross-Lingual Transfer for Low-Resource Natural Language Processing In Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 644–648, Atlanta, Georgia

Reference 2013

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:28:08.804032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T11:28:08.477303Z digest=sha256:b88ec24e14dc8c80f09f1c678bc47089abed50bf00d216eb3641c1bec4550be5

Observation b1a20c52-d664-4fd8-9e3a-ea95aec5ec8a · outbound

This paper cites Médecine.

Cross-Lingual Transfer for Low-Resource Natural Language Processing Médecine

Reference 2017

Resolution
malformed identifier
raw_fallback, observed 2026-08-09T11:28:08.734178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T11:28:08.515964Z digest=sha256:7b342dc0be08ba7bbbfe836c6fb1d3b2d18ba1670c555f0bee72c81f91ff8ca9

Observation 9d9f0ef5-090a-43b3-a443-eb5c15260138 · outbound

This paper cites Cross-Lingual Named Entity Recognition Using Parallel Corpus: A New Approach Using XLM-RoBERTa Alignment.

Cross-Lingual Transfer for Low-Resource Natural Language Processing Cross-Lingual Named Entity Recognition Using Parallel Corpus: A New Approach Using XLM-RoBERTa Alignment

Reference 2020

Resolution
verified exact
local_arxiv, observed 2026-08-09T11:28:08.641730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T11:28:08.489895Z digest=sha256:a686c51822c0d37f1c7d7a83f01639e585500e75203a446f4e0463a0df35af88

Observation aecf2485-c4a2-4c34-b413-247a9edc6419 · outbound

This paper cites an unresolved cited work.

Cross-Lingual Transfer for Low-Resource Natural Language Processing Unresolved cited work

Reference 2021

Resolution
unresolved
raw_fallback, observed 2026-08-09T11:28:08.703378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T11:28:08.526281Z digest=sha256:c73377cd7d279e6aed80931fdc214490ebf79b229df57207b010bf2cba451d85

Observation aa694306-ba02-4a2e-9265-c98b598d5dfb · outbound

This paper cites In Find- ings of the Association for Computational Linguis- tics: EMNLP 2022, pages 6403—-6416, Abu Dhabi, United Arab Emirates.

Cross-Lingual Transfer for Low-Resource Natural Language Processing In Find- ings of the Association for Computational Linguis- tics: EMNLP 2022, pages 6403—-6416, Abu Dhabi, United Arab Emirates

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:28:08.794208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T11:28:08.485701Z digest=sha256:9abd8ca2540ab8112f6151629dfdef5909f490424e65eb7553cfb62e1793b166

Observation 3c0d2563-86d1-4f9f-9fef-5ca722b07939 · outbound

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

Cross-Lingual Transfer for Low-Resource Natural Language Processing LoRA: Low-Rank Adaptation of Large Language Models

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-09T11:28:08.548558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:28:08.548558Z digest=sha256:1b48a3a53f517b91add787f60714ac2ef134c2b65566ec83756bbbaee3b8af56

Pith citing papers

No inbound Pith citation observations are available.