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Paper Citation Record · LEDGER

Document-Level Machine Translation with Large Language Models

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2304.02210.

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

pith.paper-citation-record.v1
2304.02210 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:13:28.738237Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T02:46:29.239660Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1908eb4a-10c3-4d9d-ba92-dd4c8f78759d · inbound

Reassessing Layer Pruning in LLMs: New Insights and Methods cites this paper.

Reassessing Layer Pruning in LLMs: New Insights and Methods Document-Level Machine Translation with Large Language Models

Reference 36

Resolution
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no resolver link, observed 2026-08-12T14:13:28.738237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:13:28.738237Z digest=sha256:8cf1f21a6e3da2d3b95807bae734b74b2022480664253c8ba14c87a1b0733cf3

Observation 3b719a16-1c45-476b-8982-bb447034b5fc · inbound

Marco-LLM: Bridging Languages via Massive Multilingual Training for Cross-Lingual Enhancement cites this paper.

Marco-LLM: Bridging Languages via Massive Multilingual Training for Cross-Lingual Enhancement Document-Level Machine Translation with Large Language Models

Reference 62

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no resolver link, observed 2026-08-11T21:56:12.333322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:56:12.333322Z digest=sha256:ee1a010c6aae12dc05881eaf33fbd6460da77af8c15c0928c32a616b873679d5

Observation ed2eade3-0dd5-41a5-add2-a10acba6b602 · inbound

MageBench: Bridging Large Multimodal Models to Agents cites this paper.

MageBench: Bridging Large Multimodal Models to Agents Document-Level Machine Translation with Large Language Models

Reference 75

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no resolver link, observed 2026-08-11T21:36:09.308985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:36:09.308985Z digest=sha256:cd46590e675f8fefd2ebdffa11829bd808cfa1296f4c7f6f843024b397a2f639

Observation ab767d1e-f7f0-4c85-9fbf-342cf0018e79 · inbound

Curse of Attention: A Kernel-Based Perspective for Why Transformers Fail to Generalize on Time Series Forecasting and Beyond cites this paper.

Curse of Attention: A Kernel-Based Perspective for Why Transformers Fail to Generalize on Time Series Forecasting and Beyond Document-Level Machine Translation with Large Language Models

Reference 126

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no resolver link, observed 2026-08-11T20:09:35.361695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:09:35.361695Z digest=sha256:bb3d803c4beb4f21fa40643b3b2977a5f1fb619d350e8327800faa9016ffb272

Observation e50603fc-9519-4d32-80a8-9ba073bb5158 · inbound

Findings of the WMT 2024 Shared Task on Discourse-Level Literary Translation cites this paper.

Findings of the WMT 2024 Shared Task on Discourse-Level Literary Translation Document-Level Machine Translation with Large Language Models

Reference 24

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no resolver link, observed 2026-08-11T14:40:58.200096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:40:58.200096Z digest=sha256:efcf64fad2f7a3c992140f4d7e6c73caefaef0edd11135581d58e02837d404e1

Observation d82a793b-bc4e-4d5e-ba46-5b3b1327b6ee · inbound

Self-Evolution Knowledge Distillation for LLM-based Machine Translation cites this paper.

Self-Evolution Knowledge Distillation for LLM-based Machine Translation Document-Level Machine Translation with Large Language Models

Reference 42

Resolution
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no resolver link, observed 2026-08-11T11:59:54.943053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:59:54.943053Z digest=sha256:96721305bf5b2a11e3995adc04aa68eb25ed06c44dbbae752bc50b9047b26a4e

Observation 01a56717-8a28-42a9-9eb1-e510c201a440 · inbound

Addressing speaker gender bias in large scale speech translation systems cites this paper.

Addressing speaker gender bias in large scale speech translation systems Document-Level Machine Translation with Large Language Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-10T21:10:24.820912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:10:24.820912Z digest=sha256:4cfbdb8f657764e38aab4056a43a461bffc20a1b4b31624121a4ae3c06bf253a

Observation 531488fa-2f05-4acd-a85d-27b561b45c2f · inbound

Efficient Distributed Training through Gradient Compression with Sparsification and Quantization Techniques cites this paper.

Efficient Distributed Training through Gradient Compression with Sparsification and Quantization Techniques Document-Level Machine Translation with Large Language Models

Reference 2023

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no resolver link, observed 2026-08-11T20:27:44.072021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:27:44.072021Z digest=sha256:cf368acc6e6da8de2029ef1eb9d6f34a8ad388f7cb3ed229cf37452bc618bc11

Observation b31ecd82-ff6f-4bce-8643-30eec429bcf5 · inbound

The Science of Evaluating Foundation Models cites this paper.

The Science of Evaluating Foundation Models Document-Level Machine Translation with Large Language Models

Reference 83

Resolution
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no resolver link, observed 2026-08-07T23:35:42.879026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:35:42.879026Z digest=sha256:23efe105529eeef3c218e9b119f381a08f974a543bb271ce8064873d842de1f0

Observation 6c338a1f-95e1-4bc3-9be5-25c522ab75dc · inbound

Facts Do Care About Your Language: Assessing Answer Quality of Multilingual LLMs cites this paper.

Facts Do Care About Your Language: Assessing Answer Quality of Multilingual LLMs Document-Level Machine Translation with Large Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T11:13:40.338494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:13:40.338494Z digest=sha256:42d05150532ce60577db6171dade8d130c453300ac3ffaa16125770bb0c53350

Observation e95d76d2-9e4c-48e2-83a1-348000e957fc · inbound

Information Loss in LLMs' Multilingual Translation: The Role of Training Data, Language Proximity, and Language Family cites this paper.

Information Loss in LLMs' Multilingual Translation: The Role of Training Data, Language Proximity, and Language Family Document-Level Machine Translation with Large Language Models

Reference 27

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no resolver link, observed 2026-08-06T21:49:28.174135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:49:28.174135Z digest=sha256:96ca26b6470d33b50f16aeb554bf00464a2269670e4ab3555fd158c18762e3ab

Observation 668233b2-4e78-4f24-9c51-d6db5f122104 · inbound

Demystifying ChatGPT: How It Masters Genre Recognition cites this paper.

Demystifying ChatGPT: How It Masters Genre Recognition Document-Level Machine Translation with Large Language Models

Reference 2

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no resolver link, observed 2026-08-06T20:04:10.691261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:04:10.691261Z digest=sha256:42fe0a3e5678daaf610e5a5435df98847c19164571ad1691e4720bbc036ba18d

Observation f3680c68-5668-4393-8693-14c88aced6ec · inbound

LLMs are Introvert cites this paper.

LLMs are Introvert Document-Level Machine Translation with Large Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T19:27:11.974804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:27:11.974804Z digest=sha256:64b13d387213e16c9ddb49555694aa5659732514187887bef79c81f38910cf32

Observation 0a9e54b7-838e-4a5f-94f0-073164f71497 · inbound

Robust pid sliding mode control for dc servo motor speed control cites this paper.

Robust pid sliding mode control for dc servo motor speed control Document-Level Machine Translation with Large Language Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T23:42:04.641046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:42:04.641046Z digest=sha256:50fd59df85fb1adffaa6119398da517f134467a784e723798bb8c87b16fe9574

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

Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios cites this paper.

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

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-05T16:36:36.493286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:36:36.493286Z digest=sha256:29ab14d5c8b86603c946796f1729674f7eaa36a53f853666c5ba52f210f37ef7

Observation 2f82990a-7b0e-4f6f-9248-e855639de8e4 · inbound

Benchmarking Vision-Language Models on Chinese Ancient Documents: From OCR to Knowledge Reasoning cites this paper.

Benchmarking Vision-Language Models on Chinese Ancient Documents: From OCR to Knowledge Reasoning Document-Level Machine Translation with Large Language Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-04T20:28:58.622466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T20:28:58.622466Z digest=sha256:c458c1f20e0f5ecdb2f4fa839a9cb30e2143870ac97e03d45388231384fb2cf1

Observation 44361d39-6457-48b7-bc67-34f6a167d923 · inbound

An Explainable Approach to Document-level Translation Evaluation with Topic Modeling cites this paper.

An Explainable Approach to Document-level Translation Evaluation with Topic Modeling Document-Level Machine Translation with Large Language Models

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:11:06.122659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-09T23:11:59.716468Z digest=sha256:5cca54e7413c4a38ae9e7b8cc1176b74470f05039657bb67238654de100af989

Observation d3910923-d3fa-461b-8f3e-5b7b1455189f · inbound

G^2C-MT: Graph-Guided Context Selection for Document-Level Machine Translation cites this paper.

G^2C-MT: Graph-Guided Context Selection for Document-Level Machine Translation Document-Level Machine Translation with Large Language Models

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:46:29.241784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-28T10:36:12.505743Z digest=sha256:06280471e22b1320d4453359fb69de7ac82fa7e1b9c79018b9e9c31dea5e61f4