Paper Citation Record · LEDGER

Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges

As of 19 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2501.11496.

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

pith.paper-citation-record.v1
2501.11496 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:15:44.845066Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:44:49.109466Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-15T20:44:49.239486Z

Reference resolution

34 of 34 outbound references displayed

verified exact3
verified fuzzy27
unresolved3
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5eec42d8-621d-4c0d-a9fb-7ca0f28784c7 · outbound

This paper cites (2025) Language diversity index.

Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges (2025) Language diversity index

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:15:45.740766Z

Source-reported events for the cited work

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Observation 63d9ecbf-bebe-4277-8238-c8cd2b3972a9 · outbound

This paper cites Global predictors of language endangerment and the future of linguistic diversity,.

Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges Global predictors of language endangerment and the future of linguistic diversity,

Reference 2

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Source-reported events for the cited work

correction dated 2022-02-03. Source: crossref record 10.1038/s41559-022-01684-4->10.1038/s41559-021-01604-y:correction, observed 2026-07-11T03:05:43.30555+00:00. This notice travels one citation hop only.

Observation 005141ae-645b-4467-b167-cd212468c4a8 · outbound

This paper cites Recommendation concerning the promotion and use of multilingualism and universal access to cyberspace,.

Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges Recommendation concerning the promotion and use of multilingualism and universal access to cyberspace,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:15:45.726778Z

Source-reported events for the cited work

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Observation 04e95e24-98cc-49fe-bf54-2da07ff64ba6 · outbound

This paper cites Generative ai as digital media,.

Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges Generative ai as digital media,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:15:45.712036Z

Source-reported events for the cited work

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Observation 92c956a8-be9c-4511-9197-02e6b858eb06 · outbound

This paper cites Multimodal generative ai for african language preserva- tion: A framework for language documentation and revitalization,.

Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges Multimodal generative ai for african language preserva- tion: A framework for language documentation and revitalization,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:15:45.695254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 546a82f3-5912-4c6a-bfbc-92363906f290 · outbound

This paper cites Framework for fairness in machine learning using detecting and mitigating bias in ai algorithms,.

Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges Framework for fairness in machine learning using detecting and mitigating bias in ai algorithms,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:15:45.679253Z

Source-reported events for the cited work

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Observation 17f60055-c111-4265-a7de-62b64705fa2a · outbound

This paper cites Attention is all you need,.

Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges Attention is all you need,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:15:45.665287Z

Source-reported events for the cited work

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Observation 75888b5d-2b9d-484a-885f-ff787bc9eda1 · outbound

This paper cites Recent advances in generative ai and large language models: Current status, challenges, and perspec- tives,.

Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges Recent advances in generative ai and large language models: Current status, challenges, and perspec- tives,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:15:45.650240Z

Source-reported events for the cited work

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Observation a0fda319-8319-4ff2-9092-3619f64721e1 · outbound

This paper cites Schillaci, LLM Adoption Trends and Associated Risks.

Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges Schillaci, LLM Adoption Trends and Associated Risks

Reference 9

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Source-reported events for the cited work

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Observation c11c5d66-7421-4c34-bfcd-58bc26de650f · outbound

This paper cites Ai-driven territorial intelligence: An integrated approach to enhancing digital sovereignty,.

Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges Ai-driven territorial intelligence: An integrated approach to enhancing digital sovereignty,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:15:45.637636Z

Source-reported events for the cited work

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Observation cb4fbd0e-84c6-4947-b699-df767c10dd9d · outbound

This paper cites Peter-lucas jones: Using ai to preserve indigenous languages,.

Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges Peter-lucas jones: Using ai to preserve indigenous languages,

Reference 11

Resolution: verified exact; raw_fallback, observed 2026-08-10T18:15:45.318582Z

Source-reported events for the cited work

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Observation cc32da9b-066b-4a34-91b1-32c2637ec005 · outbound

This paper cites When large language models meet personalization: perspectives of challenges and opportunities,.

Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges When large language models meet personalization: perspectives of challenges and opportunities,

Reference 12

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Source-reported events for the cited work

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Observation bf2c1998-5c6f-4990-a751-3bdb2045c63a · outbound

This paper cites Privacy-preserving techniques in generative ai and large language models: A narrative review,.

Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges Privacy-preserving techniques in generative ai and large language models: A narrative review,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:15:45.623588Z

Source-reported events for the cited work

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Observation a4f74974-8867-422f-9905-765aea1d5ce6 · outbound

This paper cites Large language models: A comprehensive survey of its applications, challenges, limitations, and future prospects,.

Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges Large language models: A comprehensive survey of its applications, challenges, limitations, and future prospects,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:15:45.597264Z

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Observation 95806e24-65c3-4eef-a5e3-a7f51465bb6f · outbound

This paper cites Language preservation efforts get an ai boost,.

Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges Language preservation efforts get an ai boost,

Reference 15

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Source-reported events for the cited work

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Observation 1c9767d3-badf-43e2-ad75-f76459f67fe6 · outbound

This paper cites Impact of conversational and generative ai systems on libraries: A use case large language model (llm),.

Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges Impact of conversational and generative ai systems on libraries: A use case large language model (llm),

Reference 16

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Source-reported events for the cited work

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Observation d8bae710-d9b8-4e77-92fa-3e431fc9a4d7 · outbound

This paper cites Toward text data augmentation for sentiment analysis,.

Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges Toward text data augmentation for sentiment analysis,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:15:45.558417Z

Source-reported events for the cited work

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Observation 58ec26fb-d438-4e28-9c2c-79f7a90b5199 · outbound

This paper cites Adapting multilingual LLMs to low-resource languages with knowledge graphs via adapters,.

Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges Adapting multilingual LLMs to low-resource languages with knowledge graphs via adapters,

Reference 18

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Source-reported events for the cited work

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Observation c776eea6-6aa7-43f8-bb7a-f20a4bb9a6b5 · outbound

This paper cites Exploration of tpus for ai applications,.

Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges Exploration of tpus for ai applications,

Reference 19

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Observation db01e4a0-848b-46ca-b430-4ff6b33060f2 · outbound

This paper cites Here’s what the sellside is saying about deepseek,.

Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges Here’s what the sellside is saying about deepseek,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:15:45.506491Z

Source-reported events for the cited work

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Observation 3d24e137-f8d0-4077-96c4-4ac83b9b10f4 · outbound

This paper cites The national science foundation launches nairr pilot to democratize ai research,.

Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges The national science foundation launches nairr pilot to democratize ai research,

Reference 21

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Observation 58e36732-cb63-4eab-9c57-7e6f08245c3f · outbound

This paper cites Does the grammatical structure of prompts influence the responses of generative artificial intelligence? an exploratory analysis in spanish,.

Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges Does the grammatical structure of prompts influence the responses of generative artificial intelligence? an exploratory analysis in spanish,

Reference 22

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Observation 1215cfe9-37ab-44d1-b133-915ef07a125f · outbound

This paper cites Complexities for non-latin languages & llm evaluations,.

Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges Complexities for non-latin languages & llm evaluations,

Reference 23

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Observation 25686609-a381-4374-8410-c204aba84496 · outbound

This paper cites The challenge of ai-generated content in scientific publishing,.

Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges The challenge of ai-generated content in scientific publishing,

Reference 24

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Observation 4b65bd69-13ec-4207-a891-64008ba6923d · outbound

This paper cites AI-based Framework for Discriminating Human-authored and AI- generated Text,.

Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges AI-based Framework for Discriminating Human-authored and AI- generated Text,

Reference 25

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This paper cites Artificial intelligence may affect diversity: architecture and cultural context reflected through chatgpt, midjourney, and google maps,.

Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges Artificial intelligence may affect diversity: architecture and cultural context reflected through chatgpt, midjourney, and google maps,

Reference 26

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This paper cites Ai, cultural heritage, and bias: Some key queries that arise from the use of genai,.

Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges Ai, cultural heritage, and bias: Some key queries that arise from the use of genai,

Reference 27

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Observation cb3b9a7a-d06e-4fbd-8492-84dcffe4169a · outbound

This paper cites The geopolitics of open source ai,.

Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges The geopolitics of open source ai,

Reference 28

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Observation 537d3346-20b8-4705-a287-841e1eb2723c · outbound

This paper cites Available: https://www.mdpi.com/2571-9408/7/11/287.

Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges Available: https://www.mdpi.com/2571-9408/7/11/287

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:15:45.409003Z

Source-reported events for the cited work

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Observation 5d580709-1609-4f27-b7d8-8f22d80d7e63 · outbound

This paper cites (2025) Technology foundations of generative ai: Architectures, algorithms, and innovations.

Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges (2025) Technology foundations of generative ai: Architectures, algorithms, and innovations

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:15:45.361899Z

Source-reported events for the cited work

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Observation 2720ac53-dd17-46aa-9d3f-5b463d6a130e · outbound

This paper cites Future shock: Generative ai and the international ai policy and governance crisis,.

Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges Future shock: Generative ai and the international ai policy and governance crisis,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:15:45.378694Z

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Observation 80f87fc6-dd44-44af-b63f-666928217b40 · outbound

This paper cites Ai for impacts: A framework for evaluating ai interventions in language preservation,.

Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges Ai for impacts: A framework for evaluating ai interventions in language preservation,

Reference 32

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Observation 08787f93-31bc-4d7d-8d25-2488604c1e43 · outbound

This paper cites Following generative ai down the rabbit hole: Redefining copyright’s boundaries in the age of human-machine collaborations,.

Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges Following generative ai down the rabbit hole: Redefining copyright’s boundaries in the age of human-machine collaborations,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:15:45.346064Z

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Observation 50b14cf7-044d-43ff-ab49-b471c73a7afe · outbound

This paper cites Available: https://www.mdpi.com/2078-2489/15/11/697.

Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges Available: https://www.mdpi.com/2078-2489/15/11/697

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:15:45.610609Z

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Pith citing papers

Observation de949d48-5437-433d-81bc-bc3a912d0dae · inbound

Tiny QA Benchmark++: Ultra-Lightweight, Synthetic Multilingual Dataset Generation & Smoke-Tests for Continuous LLM Evaluation cites this paper.

Tiny QA Benchmark++: Ultra-Lightweight, Synthetic Multilingual Dataset Generation & Smoke-Tests for Continuous LLM Evaluation Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.