Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-09T11:28:08.555514Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-09T11:28:08.555514Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
22 of 22 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation b47ff132-3ad7-4c4a-9ffb-571c5f6337d9 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f7323f11-d387-4f7c-b6ec-a309f527ce9a · outbound
Cross-Lingual Transfer for Low-Resource Natural Language Processing , 2022; Wu et al
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8b6e165e-0260-4381-940d-0012ff771819 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0c71e348-1d53-43b7-9e66-5013e6c434bc · outbound
Cross-Lingual Transfer for Low-Resource Natural Language Processing , 8Sourced from https://app.electricitymaps
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9ab12647-6af7-4605-a14b-20c7547dbed8 · outbound
Cross-Lingual Transfer for Low-Resource Natural Language Processing Unresolved cited work
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 73ef0e3a-05ec-4ddb-ba7c-79900e9ea2a9 · outbound
Cross-Lingual Transfer for Low-Resource Natural Language Processing <Disease> Patient with dilated car- diomyopathy
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 60e1677a-6856-4872-b279-90c2c0af50ae · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0d9957fb-1375-4563-a1d5-ce04752199f6 · outbound
Cross-Lingual Transfer for Low-Resource Natural Language Processing These models, to name but a few, include SciFive ( Phan et al
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2186e02e-b445-4aae-9e1c-9f00ac306504 · outbound
Cross-Lingual Transfer for Low-Resource Natural Language Processing Scaling Instruction-Finetuned Language Models
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9214812f-f0b6-4645-9246-2aa7229d551b · outbound
Cross-Lingual Transfer for Low-Resource Natural Language Processing EDP French corpus, text format
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d10cc7b1-582d-4bab-a05e-21d5077380ce · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a02be855-ae02-44ca-b5f5-8240f4bc5522 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation df2cf985-7d50-482f-8dd5-b961504fd761 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e499983b-eca2-4dc3-a568-4a94f6288410 · outbound
Cross-Lingual Transfer for Low-Resource Natural Language Processing SciFive: a text-to-text transformer model for biomedical literature
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b7aac6d8-64c3-4939-a671-1d5b2ca3b93d · outbound
Cross-Lingual Transfer for Low-Resource Natural Language Processing Cross-lingual Argument Mining in the Medical Domain
Reference 2001
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1702168d-3c3f-497f-9744-3f4a11b15486 · outbound
Cross-Lingual Transfer for Low-Resource Natural Language Processing GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers
Reference 2011
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d8dd0c3b-bb7c-4e59-ae59-1632cd6c507c · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b1a20c52-d664-4fd8-9e3a-ea95aec5ec8a · outbound
Cross-Lingual Transfer for Low-Resource Natural Language Processing Médecine
Reference 2017
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9d9f0ef5-090a-43b3-a443-eb5c15260138 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation aecf2485-c4a2-4c34-b413-247a9edc6419 · outbound
Cross-Lingual Transfer for Low-Resource Natural Language Processing Unresolved cited work
Reference 2021
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation aa694306-ba02-4a2e-9265-c98b598d5dfb · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3c0d2563-86d1-4f9f-9fef-5ca722b07939 · outbound
Cross-Lingual Transfer for Low-Resource Natural Language Processing LoRA: Low-Rank Adaptation of Large Language Models
Reference 2023
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.