Paper Citation Record · LEDGER

Investigating Numerical Translation with Large Language Models

As of 12 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2501.04927.

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

pith.paper-citation-record.v1
2501.04927 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:25:35.773341Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

23 of 23 outbound references displayed

verified exact0
verified fuzzy20
unresolved3
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 78cb9b91-1c4f-47c1-b2bd-a030525f27b9 · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation,.

Investigating Numerical Translation with Large Language Models Bleu: a method for automatic evaluation of machine translation,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:36.269062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 217afec9-d15f-4f72-a7f0-75951702ccfc · outbound

This paper cites COMET: A neural framework for MT evaluation,.

Investigating Numerical Translation with Large Language Models COMET: A neural framework for MT evaluation,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:36.253560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 156c4e70-3fda-4759-8f92-c02775a7bc4d · outbound

This paper cites As easy as 1, 2, 3: Behavioural testing of NMT systems for numerical translation,.

Investigating Numerical Translation with Large Language Models As easy as 1, 2, 3: Behavioural testing of NMT systems for numerical translation,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:36.237479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a7131a28-a5c3-46d5-847a-2805557da058 · outbound

This paper cites Ar- tifacts or abduction: How do llms answer multiple-choice questions without the question?,.

Investigating Numerical Translation with Large Language Models Ar- tifacts or abduction: How do llms answer multiple-choice questions without the question?,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:36.222722Z

Source-reported events for the cited work

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Observation 94a5c5a5-0ef4-4922-a55d-cf58cfb29f39 · outbound

This paper cites Exploring precision and recall to assess the quality and diversity of llms,.

Investigating Numerical Translation with Large Language Models Exploring precision and recall to assess the quality and diversity of llms,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:36.206879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e2e094eb-02c3-4f37-8c21-24a653dd10cd · outbound

This paper cites Boosting LLMS with ontology-aware prompt for ner data augmentation,.

Investigating Numerical Translation with Large Language Models Boosting LLMS with ontology-aware prompt for ner data augmentation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:36.191754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 94e2e0d5-a091-4850-83f9-3e4de539bbbc · outbound

This paper cites Eliciting the translation ability of large language models via multilingual finetuning with translation instructions,.

Investigating Numerical Translation with Large Language Models Eliciting the translation ability of large language models via multilingual finetuning with translation instructions,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:36.176392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 054c7e62-1810-46d8-8bb0-ef4687245a5f · outbound

This paper cites Multilingual machine translation with large language models: Empirical results and analysis,.

Investigating Numerical Translation with Large Language Models Multilingual machine translation with large language models: Empirical results and analysis,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:36.050766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6b1889cc-33f1-45db-bd85-244640a9aa9d · outbound

This paper cites The llama 3 herd of models,.

Investigating Numerical Translation with Large Language Models The llama 3 herd of models,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:36.035491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 00b6eeee-c4ec-4256-99b7-6975c804c673 · outbound

This paper cites Tower: An open multilingual large language model for translation-related tasks,.

Investigating Numerical Translation with Large Language Models Tower: An open multilingual large language model for translation-related tasks,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:36.020486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bd8c424f-dda5-4834-b5ed-0f459a35c567 · outbound

This paper cites Qwen2 Technical Report.

Investigating Numerical Translation with Large Language Models Qwen2 Technical Report

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T21:25:35.710409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6da05690-52d8-4829-a929-968ea6fd6868 · outbound

This paper cites Mistral 7b,.

Investigating Numerical Translation with Large Language Models Mistral 7b,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:36.004051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation aabec4ce-8ddf-4c6e-af67-d293b99b2edb · outbound

This paper cites Crosslingual Generalization through Multitask Finetuning.

Investigating Numerical Translation with Large Language Models Crosslingual Generalization through Multitask Finetuning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T21:25:35.722270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68e8c981-1d11-48ae-8c41-4b813df02915 · outbound

This paper cites Scaling neural machine translation to 200 languages,.

Investigating Numerical Translation with Large Language Models Scaling neural machine translation to 200 languages,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:35.988556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation da670a36-5dc5-4829-b04a-79b16cfe2645 · outbound

This paper cites In-context examples selection for ma- chine translation,.

Investigating Numerical Translation with Large Language Models In-context examples selection for ma- chine translation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:35.972948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 76cf128a-5be4-44ba-a7b4-5b59fd1fa02c · outbound

This paper cites Towards robust in- context learning for machine translation with large language mod- els,.

Investigating Numerical Translation with Large Language Models Towards robust in- context learning for machine translation with large language mod- els,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:35.956322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation adb05d13-e6e4-4396-a75f-36c708a0bfda · outbound

This paper cites Submodular-based in-context example selection for LLMs-based machine translation,.

Investigating Numerical Translation with Large Language Models Submodular-based in-context example selection for LLMs-based machine translation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:35.939378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation aa79c5ad-4ab8-4863-80c1-c18931ff4163 · outbound

This paper cites Towards making the most of ChatGPT for machine translation,.

Investigating Numerical Translation with Large Language Models Towards making the most of ChatGPT for machine translation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:35.922417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 612806f0-8906-4b2c-938c-a9910406b941 · outbound

This paper cites xCoT: Cross-lingual Instruction Tuning for Cross-lingual Chain-of-Thought Reasoning.

Investigating Numerical Translation with Large Language Models xCoT: Cross-lingual Instruction Tuning for Cross-lingual Chain-of-Thought Reasoning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T21:25:35.753357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e366a669-cc92-4e5c-a1a8-00ad82d7a535 · outbound

This paper cites M 3cot: A novel benchmark for multi-domain multi-step multi- modal chain-of-thought,.

Investigating Numerical Translation with Large Language Models M 3cot: A novel benchmark for multi-domain multi-step multi- modal chain-of-thought,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:35.906404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0619fb21-9ffe-456d-af10-fd3ac644cd44 · outbound

This paper cites Error annotation in post-editing machine translation: Investigating the impact of text-to-speech technology,.

Investigating Numerical Translation with Large Language Models Error annotation in post-editing machine translation: Investigating the impact of text-to-speech technology,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:35.891376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 573e8e9b-d858-4e45-b566-65fca15f334f · outbound

This paper cites Guiding large language models to post-edit machine translation with error annotations,.

Investigating Numerical Translation with Large Language Models Guiding large language models to post-edit machine translation with error annotations,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:35.875940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e5164945-7099-4c2b-8870-4d24b68dcbde · outbound

This paper cites Contextual refinement of translations: Large language models for sentence and document-level post-editing,.

Investigating Numerical Translation with Large Language Models Contextual refinement of translations: Large language models for sentence and document-level post-editing,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:35.860707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.