Paper Citation Record · LEDGER

Evaluating Large Language Models for Diacritic Restoration in Romanian Texts: A Comparative Study

As of 8 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2511.13182.

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

pith.paper-citation-record.v1
2511.13182 v3

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T21:55:38.473607Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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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

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Outbound references

Observation e74d37da-57a1-4611-98a4-5946d28ddf7a · outbound

This paper cites GPT-4 Technical Report.

Evaluating Large Language Models for Diacritic Restoration in Romanian Texts: A Comparative Study GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T21:55:38.389821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46a88f45-d0f3-4363-a268-d0613db5cadc · outbound

This paper cites https://dexonline.ro/static/download/dex-database.sql.gz (2014), accessed: 2024-06-03.

Evaluating Large Language Models for Diacritic Restoration in Romanian Texts: A Comparative Study https://dexonline.ro/static/download/dex-database.sql.gz (2014), accessed: 2024-06-03

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T21:55:38.394836Z

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Observation 75615ec1-a9f4-4bc5-b009-4af6a766afe5 · outbound

This paper cites OSF Preprint, https://osf.io/your-preprint-url (2023), accessed: 2024-06-03.

Evaluating Large Language Models for Diacritic Restoration in Romanian Texts: A Comparative Study OSF Preprint, https://osf.io/your-preprint-url (2023), accessed: 2024-06-03

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T21:55:38.399025Z

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Observation 35a1b2c5-6a62-480d-abc1-12b64b038aa3 · outbound

This paper cites https://github.com/jondurbin/airoboros (2023), accessed: 2024-06-03.

Evaluating Large Language Models for Diacritic Restoration in Romanian Texts: A Comparative Study https://github.com/jondurbin/airoboros (2023), accessed: 2024-06-03

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T21:55:38.403225Z

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Observation 62285ae2-59d4-4a99-aa43-3f6711701e24 · outbound

This paper cites https://wiki.dexonline.ro/wiki (2014), accessed: 2024-06-03.

Evaluating Large Language Models for Diacritic Restoration in Romanian Texts: A Comparative Study https://wiki.dexonline.ro/wiki (2014), accessed: 2024-06-03

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T21:55:38.407250Z

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Observation e7d63fe1-2c3f-4864-8312-38967d74bb22 · outbound

This paper cites Mixtral of Experts.

Evaluating Large Language Models for Diacritic Restoration in Romanian Texts: A Comparative Study Mixtral of Experts

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T21:55:38.411364Z

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Observation 3afe11a1-ec1d-495c-abde-aa74fcd1a910 · outbound

This paper cites In: ICAI.

Evaluating Large Language Models for Diacritic Restoration in Romanian Texts: A Comparative Study In: ICAI

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T21:55:38.415942Z

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Observation 87004587-2d0b-4012-8811-8a19e61af696 · outbound

This paper cites OpenLLM-Ro -- Technical Report on Open-source Romanian LLMs.

Evaluating Large Language Models for Diacritic Restoration in Romanian Texts: A Comparative Study OpenLLM-Ro -- Technical Report on Open-source Romanian LLMs

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T21:55:38.419774Z

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Observation 6d0d53ce-90d4-4952-80e0-76698f53a336 · outbound

This paper cites In: Proceedings of the eleventh international conference on language resources and evaluation (LREC 2018) (2018).

Evaluating Large Language Models for Diacritic Restoration in Romanian Texts: A Comparative Study In: Proceedings of the eleventh international conference on language resources and evaluation (LREC 2018) (2018)

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T21:55:38.424068Z

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Observation 62f68e2e-ac1a-4ea2-a0b7-3f65d753dd6a · outbound

This paper cites In: 2019 IEEE 15th International Conference on Intelligent Computer Communication and Processing (ICCP).

Evaluating Large Language Models for Diacritic Restoration in Romanian Texts: A Comparative Study In: 2019 IEEE 15th International Conference on Intelligent Computer Communication and Processing (ICCP)

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T21:55:38.427776Z

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Observation 24cccbbf-481f-428f-9aa5-d0e5fd6f06a0 · outbound

This paper cites https://openai.com/index/hello-gpt-4o/ (2024), accessed: 2024-06-03.

Evaluating Large Language Models for Diacritic Restoration in Romanian Texts: A Comparative Study https://openai.com/index/hello-gpt-4o/ (2024), accessed: 2024-06-03

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T21:55:38.431459Z

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Observation bfbe7a00-fd78-4ff7-bcb5-ed500b589c7e · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Evaluating Large Language Models for Diacritic Restoration in Romanian Texts: A Comparative Study Gemini: A Family of Highly Capable Multimodal Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T21:55:38.435002Z

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Observation 32fe5179-19e2-458d-a06a-c4c1766050ec · outbound

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

Evaluating Large Language Models for Diacritic Restoration in Romanian Texts: A Comparative Study Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T21:55:38.438942Z

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Observation 49d03414-a347-40b6-83f0-c5eaf1d835db · outbound

This paper cites A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models.

Evaluating Large Language Models for Diacritic Restoration in Romanian Texts: A Comparative Study A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T21:55:38.442787Z

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Observation f96f6d0f-8642-4959-8cbe-37ec62d7f486 · outbound

This paper cites It evaluates precision in diacritic restoration while maintaining case fidelity.

Evaluating Large Language Models for Diacritic Restoration in Romanian Texts: A Comparative Study It evaluates precision in diacritic restoration while maintaining case fidelity

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T21:55:38.447223Z

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Observation ddfc2e5f-efc1-4425-9515-fe754fc47a26 · outbound

This paper cites an unresolved cited work.

Evaluating Large Language Models for Diacritic Restoration in Romanian Texts: A Comparative Study Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T21:55:38.451017Z

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Observation 6ae2b620-9c70-4ab6-9d32-0b1b6fe3b89b · outbound

This paper cites It assesses each word as a whole unit, comparing the model’s output with the reference.

Evaluating Large Language Models for Diacritic Restoration in Romanian Texts: A Comparative Study It assesses each word as a whole unit, comparing the model’s output with the reference

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T21:55:38.454857Z

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Observation c52bc3e6-dd0b-4d13-a52e-e7d21a40b3f6 · outbound

This paper cites C.2 Restoration Error Rate Evaluators The error rate is quantified by assessing the frequency and severity of inaccuracies in diacritic restoration against a reference text.

Evaluating Large Language Models for Diacritic Restoration in Romanian Texts: A Comparative Study C.2 Restoration Error Rate Evaluators The error rate is quantified by assessing the frequency and severity of inaccuracies in diacritic restoration against a reference text

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T21:55:38.458514Z

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Observation c61a7e90-b553-4155-8877-73c2739cb06a · outbound

This paper cites It leverages the Levenshtein distance to quantify the minimum number of edits required.

Evaluating Large Language Models for Diacritic Restoration in Romanian Texts: A Comparative Study It leverages the Levenshtein distance to quantify the minimum number of edits required

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T21:55:38.462155Z

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Observation c2b4f0d3-567f-40e2-b1ee-9ec9473b2c86 · outbound

This paper cites an unresolved cited work.

Evaluating Large Language Models for Diacritic Restoration in Romanian Texts: A Comparative Study Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T21:55:38.465863Z

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Observation 69ecb392-f269-4645-8a2e-6b2226f2d200 · outbound

This paper cites an unresolved cited work.

Evaluating Large Language Models for Diacritic Restoration in Romanian Texts: A Comparative Study Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T21:55:38.470052Z

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Observation 12a72300-5088-4859-8def-25b6ba18ea57 · outbound

This paper cites 0.0 Llama 2 70B, Basic - Zero-Shot Sure! Here’s the sentence with the diacritics restored:.

Evaluating Large Language Models for Diacritic Restoration in Romanian Texts: A Comparative Study 0.0 Llama 2 70B, Basic - Zero-Shot Sure! Here’s the sentence with the diacritics restored:

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T21:55:38.473607Z

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Pith citing papers

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