Paper Citation Record · LEDGER

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation

As of 16 August 2026, this Paper Citation Record lists 77 of 77 outbound references and 2 inbound Pith citation observations for arXiv:2504.12140.

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

pith.paper-citation-record.v1
2504.12140 v2

Coverage vector

measured 77 of 77 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:40:33.359834Z

measured 79 of 79 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:50:15.161704Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T01:02:15.455041Z

Reference resolution

77 of 77 outbound references displayed

verified exact3
verified fuzzy16
unresolved57
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ad35984e-d246-4516-b368-19674f20e3c8 · outbound

This paper cites write newline.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation write newline

Reference 1

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Observation d58e89c0-216c-486b-950c-9631f8278f0e · outbound

This paper cites Tower: An Open Multilingual Large Language Model for Translation-Related Tasks.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Tower: An Open Multilingual Large Language Model for Translation-Related Tasks

Reference 2

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Observation 5b8c898f-c641-454a-a37c-536846ad4156 · outbound

This paper cites TICO -19: the translation initiative for CO vid-19.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation TICO -19: the translation initiative for CO vid-19

Reference 3

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Observation fa9fb6a0-03ee-488c-adae-b3462ec1a2ff · outbound

This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Neural Machine Translation by Jointly Learning to Align and Translate

Reference 4

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Observation 0afff852-a340-463f-a6c8-bd61e6b9a9d7 · outbound

This paper cites Qwen Technical Report.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Qwen Technical Report

Reference 5

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Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Unresolved cited work

Reference 6

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Observation eef749a1-b7a3-4323-a8f7-a75b47e6fe8d · outbound

This paper cites Evaluating discourse phenomena in neural machine translation.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Evaluating discourse phenomena in neural machine translation

Reference 7

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Source-reported events for the cited work

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Observation 74d54196-b3d5-451e-bc3c-d8109f6b128b · outbound

This paper cites On context span needed for machine translation evaluation.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation On context span needed for machine translation evaluation

Reference 8

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Observation 8e7bc4c5-9522-4471-b433-a13f9dfedb06 · outbound

This paper cites Overview of the IWSLT 2017 evaluation campaign.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Overview of the IWSLT 2017 evaluation campaign

Reference 9

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This paper cites WMT24++: Expanding the Language Coverage of WMT24 to 55 Languages & Dialects.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation WMT24++: Expanding the Language Coverage of WMT24 to 55 Languages & Dialects

Reference 10

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This paper cites Sampling-based approximations to minimum B ayes risk decoding for neural machine translation.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Sampling-based approximations to minimum B ayes risk decoding for neural machine translation

Reference 11

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Observation 54436d9d-7baa-48a7-ab56-29b07debabc8 · outbound

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Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Unresolved cited work

Reference 12

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Observation 9706fc54-68a5-467d-8579-f15d6060ed0c · outbound

This paper cites Experts, errors, and context: A large-scale study of human evaluation for machine translation.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Experts, errors, and context: A large-scale study of human evaluation for machine translation

Reference 13

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This paper cites Neural poetry translation.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Neural poetry translation

Reference 14

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This paper cites Document-level machine translation evaluation with gist consistency and text cohesion.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Document-level machine translation evaluation with gist consistency and text cohesion

Reference 15

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Observation cdaf3a30-3695-48ba-8fc6-43ef18b0b0e3 · outbound

This paper cites The Llama 3 Herd of Models.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation The Llama 3 Herd of Models

Reference 16

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Observation d42205fd-3a1d-45b9-8123-7b697e26f71b · outbound

This paper cites Exploring human-like translation strategy with large language models.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Exploring human-like translation strategy with large language models

Reference 17

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Observation b2bc1527-e8d5-44cd-93b5-35aec38e3684 · outbound

This paper cites How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation

Reference 18

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Observation f3f752c3-b308-45fd-8d7a-3af75cc17516 · outbound

This paper cites The Curious Case of Neural Text Degeneration.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation The Curious Case of Neural Text Degeneration

Reference 19

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Source-reported events for the cited work

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Observation e1da756e-8b08-43c3-8de3-e688abe23df4 · outbound

This paper cites Exploring discourse structure in document-level machine translation.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Exploring discourse structure in document-level machine translation

Reference 20

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Observation 1a2abc1e-35fa-4ee6-b1c6-54c30f60cc19 · outbound

This paper cites Diving deep into context-aware neural machine translation.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Diving deep into context-aware neural machine translation

Reference 21

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Observation 3d91a3c3-00f4-47f8-ad80-f79dc2eef853 · outbound

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Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Mistral 7B

Reference 22

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Observation d4e69cbc-62a3-407e-8f58-14adc3fbdc3a · outbound

This paper cites BlonDe : An automatic evaluation metric for document-level machine translation.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation BlonDe : An automatic evaluation metric for document-level machine translation

Reference 23

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Observation 43760751-deb4-4b2e-b3bd-f679a1072942 · outbound

This paper cites Large language models effectively leverage document-level context for literary translation, but critical errors persist.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Large language models effectively leverage document-level context for literary translation, but critical errors persist

Reference 24

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Observation d6f32c69-f83c-4035-b4cd-320675b76c3a · outbound

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Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Adam: A Method for Stochastic Optimization

Reference 25

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Observation f762a470-69f5-49a9-a2dc-fdd4c98e68cc · outbound

This paper cites Findings of the 2023 conference on machine translation ( WMT 23): LLM s are here but not quite there yet.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Findings of the 2023 conference on machine translation ( WMT 23): LLM s are here but not quite there yet

Reference 26

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Observation 6a7dd175-eae8-4c6d-be97-33f0c0682a1a · outbound

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Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Findings of the WMT 24 general machine translation shared task: The LLM era is here but MT is not solved yet

Reference 27

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This paper cites E uroparl: A parallel corpus for statistical machine translation.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation E uroparl: A parallel corpus for statistical machine translation

Reference 28

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Observation 5cac3ff7-d358-4de0-ae9d-3e4f75e69e5f · outbound

This paper cites Minimum B ayes-risk decoding for statistical machine translation.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Minimum B ayes-risk decoding for statistical machine translation

Reference 29

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Observation 0784084c-c9ee-4a40-8014-3c855ed09f5b · outbound

This paper cites Has machine translation achieved human parity? a case for document-level evaluation.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Has machine translation achieved human parity? a case for document-level evaluation

Reference 30

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Observation aa6fdc3c-10c3-44e3-b09e-5e8144cf372e · outbound

This paper cites Enhancing Document-level Translation of Large Language Model via Translation Mixed-instructions.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Enhancing Document-level Translation of Large Language Model via Translation Mixed-instructions

Reference 31

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Multilingual Contextualization of Large Language Models for Document-Level Machine Translation O pen S ubtitles2016: Extracting large parallel corpora from movie and TV subtitles

Reference 32

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Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Corpora for document-level neural machine translation

Reference 33

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Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Multilingual denoising pre-training for neural machine translation

Reference 34

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Multilingual Contextualization of Large Language Models for Document-Level Machine Translation langid.py: An off-the-shelf language identification tool

Reference 35

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This paper cites Encouraging lexical translation consistency for document-level neural machine translation.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Encouraging lexical translation consistency for document-level neural machine translation

Reference 36

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Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Using whole document context in neural machine translation

Reference 37

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Multilingual Contextualization of Large Language Models for Document-Level Machine Translation EuroLLM: Multilingual Language Models for Europe

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This paper cites A survey on document-level neural machine translation: Methods and evaluation.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation A survey on document-level neural machine translation: Methods and evaluation

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Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Document-level neural machine translation with hierarchical attention networks

Reference 40

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Multilingual Contextualization of Large Language Models for Document-Level Machine Translation No Language Left Behind: Scaling Human-Centered Machine Translation

Reference 41

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Multilingual Contextualization of Large Language Models for Document-Level Machine Translation URL https://github.com/openai/openai-python/blob/release-v0.28.1/chatml.md

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Multilingual Contextualization of Large Language Models for Document-Level Machine Translation GPT-4 Technical Report

Reference 43

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Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Training language models to follow instructions with human feedback

Reference 44

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Multilingual Contextualization of Large Language Models for Document-Level Machine Translation B leu: a method for automatic evaluation of machine translation

Reference 45

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Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 46

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Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Bifixer and bicleaner: two open-source tools to clean your parallel data

Reference 47

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Multilingual Contextualization of Large Language Models for Document-Level Machine Translation SLIDE : Reference-free evaluation for machine translation using a sliding document window

Reference 48

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Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Unresolved cited work

Reference 49

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This paper cites Scaling up COMETKIWI: Unbabel-IST 2023 Submission for the Quality Estimation Shared Task.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Scaling up COMETKIWI: Unbabel-IST 2023 Submission for the Quality Estimation Shared Task

Reference 50

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Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 51

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Multilingual Contextualization of Large Language Models for Document-Level Machine Translation RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 52

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Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Rethinking document-level neural machine translation

Reference 53

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Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Sequence to sequence learning with neural networks

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:34.304063Z

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This paper cites Reassessing claims of human parity and super-human performance in machine translation at WMT 2019.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Reassessing claims of human parity and super-human performance in machine translation at WMT 2019

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:34.286383Z

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Observation fb35e0ad-6dee-46c4-bed9-a9834f9edcec · outbound

This paper cites What Level of Quality can Neural Machine Translation Attain on Literary Text?.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation What Level of Quality can Neural Machine Translation Attain on Literary Text?

Reference 56

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Observation be50c64d-bf55-4923-88e7-1b2346bcffdf · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation LLaMA: Open and Efficient Foundation Language Models

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:33.251632Z

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Unavailable: canonical work link unavailable.

Observation 95688e34-451b-4a4b-8478-448d4a4c47bd · outbound

This paper cites Attention is all you need.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Attention is all you need

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:33.258144Z

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Unavailable: canonical work link unavailable.

Observation 1daa471e-6e11-4f35-9a30-d72b24335db5 · outbound

This paper cites Embarrassingly easy document-level MT metrics: How to convert any pretrained metric into a document-level metric.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Embarrassingly easy document-level MT metrics: How to convert any pretrained metric into a document-level metric

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:34.256648Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5c45ae2b-8623-4220-8b74-9fa60bb01755 · outbound

This paper cites Context-aware neural machine translation learns anaphora resolution.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Context-aware neural machine translation learns anaphora resolution

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:33.269073Z

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Unavailable: canonical work link unavailable.

Observation f0265903-4561-4132-ad5d-1aab3ceb4388 · outbound

This paper cites Document-level machine translation with large language models.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Document-level machine translation with large language models

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:33.274476Z

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Observation 002971cf-5fb0-4353-8d04-8b42d7162276 · outbound

This paper cites Findings of the WMT 2023 shared task on discourse-level literary translation: A fresh orb in the cosmos of LLM s.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Findings of the WMT 2023 shared task on discourse-level literary translation: A fresh orb in the cosmos of LLM s

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:33.280069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87b32e93-2d9d-4f9b-9bea-3b7d3de77c6f · outbound

This paper cites DelTA: An Online Document-Level Translation Agent Based on Multi-Level Memory.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation DelTA: An Online Document-Level Translation Agent Based on Multi-Level Memory

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:33.285852Z

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Unavailable: canonical work link unavailable.

Observation 1f4d77a2-9368-4a01-a1cb-ad4f3ba01787 · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Finetuned Language Models Are Zero-Shot Learners

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:33.291759Z

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Observation fb74b10d-971c-44a5-ac87-b2eec116c386 · outbound

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Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:40:34.228495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7c064b04-bec7-46d5-9318-049428e5969f · outbound

This paper cites Document flattening: Beyond concatenating context for document-level neural machine translation.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Document flattening: Beyond concatenating context for document-level neural machine translation

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:33.303022Z

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Unavailable: canonical work link unavailable.

Observation 420d7d79-b170-42f1-8384-dcfead623c4e · outbound

This paper cites Adapting Large Language Models for Document-Level Machine Translation.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Adapting Large Language Models for Document-Level Machine Translation

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:33.308461Z

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Unavailable: canonical work link unavailable.

Observation ed9cfd86-97d6-4127-b356-5f5f57905031 · outbound

This paper cites Importance-aware data augmentation for document-level neural machine translation.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Importance-aware data augmentation for document-level neural machine translation

Reference 68

Resolution: verified exact; doi, observed 2026-08-16T12:40:33.469304Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2110e939-8ac7-47e6-94f2-b7f4da65769f · outbound

This paper cites (Perhaps) Beyond Human Translation: Harnessing Multi-Agent Collaboration for Translating Ultra-Long Literary Texts.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation (Perhaps) Beyond Human Translation: Harnessing Multi-Agent Collaboration for Translating Ultra-Long Literary Texts

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:33.319262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 622a7182-60ea-47da-8c5c-b65ba17a7104 · outbound

This paper cites Document-level consistency verification in machine translation.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Document-level consistency verification in machine translation

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:34.210676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6174647f-4402-419f-94f4-6975996bc907 · outbound

This paper cites HW - TSC `s submissions to the WMT 23 discourse-level literary translation shared task.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation HW - TSC `s submissions to the WMT 23 discourse-level literary translation shared task

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:33.329041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26407606-438d-473e-a0f9-17dc648006bd · outbound

This paper cites Modeling Coherence for Discourse Neural Machine Translation.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Modeling Coherence for Discourse Neural Machine Translation

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:33.334481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbadc64a-a205-4f36-8d51-7427ac561d3f · outbound

This paper cites A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:33.339697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 457044dc-9b2c-46a6-956f-9711b1c404a3 · outbound

This paper cites Prompting large language model for machine translation: A case study.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Prompting large language model for machine translation: A case study

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:34.193190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c3dd5b0c-36e8-479c-b574-3f741c676bc0 · outbound

This paper cites Improving the transformer translation model with document-level context.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Improving the transformer translation model with document-level context

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:33.350345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35abbfb3-6d5b-4e97-b89f-6a80f9261ae0 · outbound

This paper cites Long-short term masking transformer: A simple but effective baseline for document-level neural machine translation.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation Long-short term masking transformer: A simple but effective baseline for document-level neural machine translation

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:33.355408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03970432-8d6f-47ff-9ca9-d9671a8b2c6a · outbound

This paper cites The U nited N ations parallel corpus v1.0.

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation The U nited N ations parallel corpus v1.0

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:34.176550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

Observation a9e224d0-ccc2-4836-af3a-f829c6c2e537 · inbound

HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models cites this paper.

HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models Multilingual Contextualization of Large Language Models for Document-Level Machine Translation

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:02:15.457728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4f27a165-e706-4775-b889-9cf1309dd501 · inbound

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning cites this paper.

DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning Multilingual Contextualization of Large Language Models for Document-Level Machine Translation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-08T19:50:15.161704Z

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Unavailable: canonical work link unavailable.