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Paper Citation Record · LEDGER

Document-Level Machine Translation with Large Language Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 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 20 of 20 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 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:03:22.186100Z

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

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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

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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=sha256:5021223a8eda2293d4b6e332c4bb909bbae590bd6249b8c50907b52f382dc10d

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=sha256:78aab1535317b9bc026616951daf42f14ac9d6b8d17ff92b7156008d03120490

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=sha256:8458d9e6f0b0ea099055b1e43c24ccc0d9215f9281153caf10b44bfa8b33b9d4

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=sha256:6044661fdc5e28dee59dca30d944cd8308dffc14c615f4cadad1614c1ee2f6e6

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=sha256:4a073bf5c5c727acc7b3d093dcb9edfd85b24f42731eb95494a5bc7dbf6bb501

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

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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=sha256:29fbdd8868cce7d440bf1deae2731f616a284b4747c288ca88613e0545656e6e

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
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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:befe4cc510d0e21664d46e1baccfc7327cbd96c0da7c3a5f7f956da744cc29b4

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:a48f6d42e9a5ac17c3e873018dd7aa7ca3dfd8ef8b2b654bad3825229d8f1483

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=sha256:59eb39e73531afb53b52a03f3ff7f8f78b77826ea21263569a419cf8f49e19ea

Observation bf519e5b-54df-4872-b35e-051a48ad82f1 · inbound

Comparing Large Language Models and Traditional Machine Translation Tools for Translating Medical Consultation Summaries: A Pilot Study cites this paper.

Comparing Large Language Models and Traditional Machine Translation Tools for Translating Medical Consultation Summaries: A Pilot Study Document-Level Machine Translation with Large Language Models

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-16T11:03:22.186100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:03:22.186100Z digest=sha256:296825726be3bc5ae8846245f2d18b15e8a3777633aa9676f5c1e71d1e0e98e2

Observation 561b65ba-3796-4411-9f66-4abbbac5b159 · inbound

Are Large Language Models Good at Detecting Propaganda? cites this paper.

Are Large Language Models Good at Detecting Propaganda? Document-Level Machine Translation with Large Language Models

Reference 12

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no resolver link, observed 2026-08-15T20:13:27.408074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:27.408074Z digest=sha256:bf027da96091b89bdf919e6be2d9b6621c8d0cac7ed891bdf2ecdab9694ccb15

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

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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:c9901d59f4e88b5c9bbae69509490692309c8d077ef661d3a7c2c0b2896a8689

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=sha256:1db44314acdb6798b3373649b65492d71dbe45cd70dcb0c2550a144a47711377

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=sha256:8894b6343a01e848b3f96ab5ebda647cc5c7889dbb7b7bbd46681166f5875061

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

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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=sha256:6601ce97441f9de57b078f84292a210bfa2a5aab96d9ce1eccecba451f432764

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

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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:ca64592b151fbd7a26a15a0497d88e8357811dbca3f31a963f40efb7aa231ddc

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

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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:d3c5c6e2d1fdb17325214ac3c97fdd80bc91dad82371165e20ebae61efe7c1f2

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T20:28:58.622466Z digest=sha256:26797910d457cfc3a409bf9996cce77cfc30eb7e91a041a98e6cc01cc681ee5d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-09T23:11:59.716468Z digest=sha256:9471c96774ee32420d05ab60399574cc2a4fae0291d6c00241f9bf4766e90bf4

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T10:36:12.505743Z digest=sha256:73e5d6ce85e4005d21f52f23426f480a8f1e72d28480ebaa17a5715590457847