Paper Citation Record · LEDGER

Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios

As of 22 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2508.18183.

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

pith.paper-citation-record.v1
2508.18183 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:36:36.507207Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

43 of 43 outbound references displayed

verified exact6
verified fuzzy16
unresolved21
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b2f55979-1bed-45a8-b6e9-9957cc6ea770 · outbound

This paper cites an unresolved cited work.

Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios Unresolved cited work

Reference 1

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Observation 69e5acf9-3482-4535-a280-ebe9b3b3d2d8 · outbound

This paper cites an unresolved cited work.

Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios Unresolved cited work

Reference 2

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Observation 1cb83642-4fd9-4245-8ce6-def7aa68cb7b · outbound

This paper cites Angelova, E.

Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios Angelova, E

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:36:36.912707Z

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Observation 068e7740-c9b3-4812-a953-d0a8fea7bcd1 · outbound

This paper cites Aziz and A.

Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios Aziz and A

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:36:36.904675Z

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Observation 4d279ff6-8c0a-468c-99de-2e8424e4c1fe · outbound

This paper cites Bonsignori, A.

Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios Bonsignori, A

Reference 5

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Observation 209966d4-98dd-428c-8d6f-e7b008b40bbf · outbound

This paper cites Language Models are Few-Shot Learners.

Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios Language Models are Few-Shot Learners

Reference 6

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This paper cites Bulla, G.

Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios Bulla, G

Reference 7

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Observation 22eef4ea-f8cd-485d-97e4-709b8a28041e · outbound

This paper cites Impact of Non-Standard Unicode Characters on Security and Comprehension in Large Language Models.

Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios Impact of Non-Standard Unicode Characters on Security and Comprehension in Large Language Models

Reference 8

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This paper cites de Almeida Freitas, S.

Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios de Almeida Freitas, S

Reference 9

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Observation 824aad9f-c287-48ef-a0b0-b4e91238e3ec · outbound

This paper cites De Coster, D.

Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios De Coster, D

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:36:36.870959Z

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Observation 5b82d280-4fc7-4b34-8f4e-13a19a70b101 · outbound

This paper cites Farooq, M.

Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios Farooq, M

Reference 11

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Observation 5989930a-475e-412c-9421-6027e7d52424 · outbound

This paper cites Gloss2Text: Sign Language Gloss translation using LLMs and Semantically Aware Label Smoothing.

Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios Gloss2Text: Sign Language Gloss translation using LLMs and Semantically Aware Label Smoothing

Reference 12

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Observation a01c508b-030b-4006-b323-4035e26e11bc · outbound

This paper cites Garc \' a-Mart \' nez, L.

Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios Garc \' a-Mart \' nez, L

Reference 13

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Observation 8d848f1c-0905-4943-90c8-36d54489662b · outbound

This paper cites an unresolved cited work.

Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios Unresolved cited work

Reference 14

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Observation 666eb73d-9aba-469e-9ed6-dc2e92ef0380 · outbound

This paper cites an unresolved cited work.

Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios Unresolved cited work

Reference 15

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Source-reported events for the cited work

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Observation b3df0bde-45a0-4a5f-9c3a-c536e5a8fbf9 · outbound

This paper cites An Efficient Sign Language Translation Using Spatial Configuration and Motion Dynamics with LLMs.

Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios An Efficient Sign Language Translation Using Spatial Configuration and Motion Dynamics with LLMs

Reference 16

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Source-reported events for the cited work

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Observation 37f430e8-788f-4c2e-af53-f158fa8d1444 · outbound

This paper cites Machine Translation between Spoken Languages and Signed Languages Represented in SignWriting.

Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios Machine Translation between Spoken Languages and Signed Languages Represented in SignWriting

Reference 17

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Source-reported events for the cited work

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Observation 7c4568d5-f980-4c87-adb7-77592f85745f · outbound

This paper cites SignCLIP: Connecting Text and Sign Language by Contrastive Learning.

Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios SignCLIP: Connecting Text and Sign Language by Contrastive Learning

Reference 18

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Source-reported events for the cited work

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Observation 515a4b81-6f35-45ff-98c8-b039e7ffe587 · outbound

This paper cites an unresolved cited work.

Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios Unresolved cited work

Reference 19

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Observation b01fe4ea-4962-4357-bbca-a6ef94b9a4ba · outbound

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Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios Unresolved cited work

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Observation d868e3bf-c932-4e3a-8d78-1ae1be938cd8 · outbound

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Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios Koehn and H

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:36:36.809824Z

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Observation 530eb2f4-7bd3-4d90-95a2-9f3675a2d42b · outbound

This paper cites Lee, J.-H.

Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios Lee, J.-H

Reference 22

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Observation 8cd2da0a-cc19-4117-b5d2-8859da401a6d · outbound

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Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios Unresolved cited work

Reference 23

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This paper cites A Sign Language Recognition System with Pepper, Lightweight-Transformer, and LLM.

Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios A Sign Language Recognition System with Pepper, Lightweight-Transformer, and LLM

Reference 24

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Observation d8dee424-dfd0-47eb-8d5c-a6ba64193904 · outbound

This paper cites SCOPE: Sign Language Contextual Processing with Embedding from LLMs.

Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios SCOPE: Sign Language Contextual Processing with Embedding from LLMs

Reference 25

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This paper cites Matsumoto, M.

Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios Matsumoto, M

Reference 26

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Observation adb1930b-1446-4e29-80ec-4e07c6125738 · outbound

This paper cites SignBank+: Preparing a Multilingual Sign Language Dataset for Machine Translation Using Large Language Models.

Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios SignBank+: Preparing a Multilingual Sign Language Dataset for Machine Translation Using Large Language Models

Reference 27

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Observation 480f016e-c84d-4566-a049-63af2b6c39b3 · outbound

This paper cites Linguistically Motivated Sign Language Segmentation.

Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios Linguistically Motivated Sign Language Segmentation

Reference 28

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This paper cites Papineni, S.

Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios Papineni, S

Reference 29

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Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios Pavlakos, V

Reference 30

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Observation 1673c281-3a1f-4974-83ce-9a987245b3d1 · outbound

This paper cites Popovi \'c.

Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios Popovi \'c

Reference 31

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Observation df18da54-f5ea-4fa8-8cd9-8285c3b8c1ad · outbound

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Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios Prillwitz and H

Reference 32

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Observation a4ff3db7-1bad-4e91-89d0-bdff8e43effa · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 33

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This paper cites Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation.

Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation

Reference 34

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Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios Unresolved cited work

Reference 35

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Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios Unresolved cited work

Reference 36

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Observation 88da21ac-5682-486c-b6fb-6da9b39d57c8 · outbound

This paper cites Tuccio, L.

Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios Tuccio, L

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:36:36.723933Z

Source-reported events for the cited work

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Observation 9817ec48-1de1-49a9-aae5-3c301c08bf5d · outbound

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Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios Document-Level Machine Translation with Large Language Models

Reference 38

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Source-reported events for the cited work

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Observation b99e487f-1805-4f93-8088-f17eb50b5ed8 · outbound

This paper cites Sign2GPT: Leveraging Large Language Models for Gloss-Free Sign Language Translation.

Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios Sign2GPT: Leveraging Large Language Models for Gloss-Free Sign Language Translation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-05T16:36:36.496236Z

Source-reported events for the cited work

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Observation 07e0c497-41fa-4b9b-b4fd-8030915bad03 · outbound

This paper cites Better Sign Language Translation with STMC-Transformer.

Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios Better Sign Language Translation with STMC-Transformer

Reference 40

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Source-reported events for the cited work

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Observation 5683a73c-1194-48e0-9ab5-d189b58a4108 · outbound

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Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios Unresolved cited work

Reference 41

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Source-reported events for the cited work

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Observation fe50003d-6afa-4887-a63d-6be4e51432e1 · outbound

This paper cites Zhang, B.

Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios Zhang, B

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:36:36.705976Z

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Observation 65e27d51-6dbc-46ea-a3eb-6714852ba958 · outbound

This paper cites an unresolved cited work.

Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios Unresolved cited work

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.