Paper Citation Record · LEDGER

DIMT25@ICDAR2025: HW-TSC's End-to-End Document Image Machine Translation System Leveraging Large Vision-Language Model

As of 17 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2504.17315.

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

pith.paper-citation-record.v1
2504.17315 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:47:47.562309Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

27 of 27 outbound references displayed

verified exact2
verified fuzzy13
unresolved12
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f45c9075-195d-4c54-89cf-42b4ed02a5af · outbound

This paper cites LayoutDIT: Layout-aware end-to-end document image translation with multi-step conductive decoder[C]//Findings of the Associa- tion for Computational Linguistics: EMNLP 2023.

DIMT25@ICDAR2025: HW-TSC's End-to-End Document Image Machine Translation System Leveraging Large Vision-Language Model LayoutDIT: Layout-aware end-to-end document image translation with multi-step conductive decoder[C]//Findings of the Associa- tion for Computational Linguistics: EMNLP 2023

Reference 1

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Source-reported events for the cited work

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Observation e4155984-a997-4684-979b-d3dad6273107 · outbound

This paper cites an unresolved cited work.

DIMT25@ICDAR2025: HW-TSC's End-to-End Document Image Machine Translation System Leveraging Large Vision-Language Model Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:47:47.965980Z

Source-reported events for the cited work

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Observation 825a9231-da36-49e8-a801-4d6f47f70022 · outbound

This paper cites Document Image Analysis for Text Extraction and Trans- lation.

DIMT25@ICDAR2025: HW-TSC's End-to-End Document Image Machine Translation System Leveraging Large Vision-Language Model Document Image Analysis for Text Extraction and Trans- lation

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:47:47.951691Z

Source-reported events for the cited work

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Observation 403d075b-e023-4843-9ea0-0f5399dc2fd7 · outbound

This paper cites Deep learning.

DIMT25@ICDAR2025: HW-TSC's End-to-End Document Image Machine Translation System Leveraging Large Vision-Language Model Deep learning

Reference 4

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Source-reported events for the cited work

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Observation fcee8566-22ae-4eed-80c1-6355d9b72821 · outbound

This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

DIMT25@ICDAR2025: HW-TSC's End-to-End Document Image Machine Translation System Leveraging Large Vision-Language Model Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T10:47:47.465781Z

Source-reported events for the cited work

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Observation 46af64b2-b8e3-4125-917a-c519bb5b47df · outbound

This paper cites Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization.

DIMT25@ICDAR2025: HW-TSC's End-to-End Document Image Machine Translation System Leveraging Large Vision-Language Model Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T10:47:47.470788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97bbf57a-3532-4290-8a5d-9a83750c5f29 · outbound

This paper cites A survey on multi-task learning.

DIMT25@ICDAR2025: HW-TSC's End-to-End Document Image Machine Translation System Leveraging Large Vision-Language Model A survey on multi-task learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:47:47.927089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6935d653-19f3-46aa-a7e2-69f1ea800afa · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

DIMT25@ICDAR2025: HW-TSC's End-to-End Document Image Machine Translation System Leveraging Large Vision-Language Model Chain-of-thought prompting elicits reasoning in large language models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T10:47:47.480190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a25e677-5e52-4639-a666-8b5e28b382ce · outbound

This paper cites An Empirical Study of Translation Hypothesis Ensembling with Large Language Models.

DIMT25@ICDAR2025: HW-TSC's End-to-End Document Image Machine Translation System Leveraging Large Vision-Language Model An Empirical Study of Translation Hypothesis Ensembling with Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T10:47:47.484285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 604153f1-8fca-492e-99b6-6e792bc5b711 · outbound

This paper cites Optical character recogni- tion.

DIMT25@ICDAR2025: HW-TSC's End-to-End Document Image Machine Translation System Leveraging Large Vision-Language Model Optical character recogni- tion

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:47:47.904388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3605f8bb-c856-495f-8e40-a0513dfb2c8c · outbound

This paper cites A survey on evaluation of large language models.

DIMT25@ICDAR2025: HW-TSC's End-to-End Document Image Machine Translation System Leveraging Large Vision-Language Model A survey on evaluation of large language models

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:47:47.890502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7219d817-b958-442c-91da-defe2cc6d403 · outbound

This paper cites ChatGPT for good? On opportunities and challenges of large language models for education.

DIMT25@ICDAR2025: HW-TSC's End-to-End Document Image Machine Translation System Leveraging Large Vision-Language Model ChatGPT for good? On opportunities and challenges of large language models for education

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:47:47.876496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9e75d4c4-e974-4390-91f0-802c0112428e · outbound

This paper cites Continual Pre-Training of Large Language Models: How to (re)warm your model?.

DIMT25@ICDAR2025: HW-TSC's End-to-End Document Image Machine Translation System Leveraging Large Vision-Language Model Continual Pre-Training of Large Language Models: How to (re)warm your model?

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T10:47:47.500876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a82b8e21-60a5-4ff1-880f-1df157a127d0 · outbound

This paper cites How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition.

DIMT25@ICDAR2025: HW-TSC's End-to-End Document Image Machine Translation System Leveraging Large Vision-Language Model How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T10:47:47.505387Z

Source-reported events for the cited work

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Observation 5db83e95-d9e0-4a17-823f-44afd0d807b7 · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

DIMT25@ICDAR2025: HW-TSC's End-to-End Document Image Machine Translation System Leveraging Large Vision-Language Model Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T10:47:47.510015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 455e59ca-f62a-49eb-bf65-92a0ee4aa882 · outbound

This paper cites Qwen2.5-VL Technical Report.

DIMT25@ICDAR2025: HW-TSC's End-to-End Document Image Machine Translation System Leveraging Large Vision-Language Model Qwen2.5-VL Technical Report

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T10:47:47.514354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed1e2735-4177-4506-8001-bc0f25518fe7 · outbound

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

DIMT25@ICDAR2025: HW-TSC's End-to-End Document Image Machine Translation System Leveraging Large Vision-Language Model Gemini: A Family of Highly Capable Multimodal Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T10:47:47.518908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42ea20de-f230-48a4-98e1-9f7793733e77 · outbound

This paper cites Perspectives and prospects on transformer architecture for cross-modal tasks with language and vision.

DIMT25@ICDAR2025: HW-TSC's End-to-End Document Image Machine Translation System Leveraging Large Vision-Language Model Perspectives and prospects on transformer architecture for cross-modal tasks with language and vision

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:47:47.860813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8c609b1d-26df-44bd-b872-b7cd8935c92b · outbound

This paper cites Machine learning paradigms.

DIMT25@ICDAR2025: HW-TSC's End-to-End Document Image Machine Translation System Leveraging Large Vision-Language Model Machine learning paradigms

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:47:47.845366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7ebbbc20-7f37-42dd-bf89-8e0205be7685 · outbound

This paper cites A comparison of multi-task learning and single-task learning approaches.

DIMT25@ICDAR2025: HW-TSC's End-to-End Document Image Machine Translation System Leveraging Large Vision-Language Model A comparison of multi-task learning and single-task learning approaches

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:47:47.829178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 591fc156-4013-4f24-a126-e614b9de4bf4 · outbound

This paper cites HW-TSC’s Submission to the CCMT 2024 Machine Transla- tion Tasks.

DIMT25@ICDAR2025: HW-TSC's End-to-End Document Image Machine Translation System Leveraging Large Vision-Language Model HW-TSC’s Submission to the CCMT 2024 Machine Transla- tion Tasks

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:47:47.814913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4aaa53a8-1cb9-4ade-a0e3-830027787d9e · outbound

This paper cites Choose the Final Translation from NMT and LLM hypotheses Using MBR Decoding: HW-TSC's Submission to the WMT24 General MT Shared Task.

DIMT25@ICDAR2025: HW-TSC's End-to-End Document Image Machine Translation System Leveraging Large Vision-Language Model Choose the Final Translation from NMT and LLM hypotheses Using MBR Decoding: HW-TSC's Submission to the WMT24 General MT Shared Task

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-16T10:47:47.625335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 26624a39-6366-49fb-9bca-76a5b8a4d557 · outbound

This paper cites ImprovingtheQualityofIWLST2024CascadeOfflineSpeech Translation and Speech-to-Speech Translation via Translation Hypothesis Ensem- bling with NMT models and Large Language Models.

DIMT25@ICDAR2025: HW-TSC's End-to-End Document Image Machine Translation System Leveraging Large Vision-Language Model ImprovingtheQualityofIWLST2024CascadeOfflineSpeech Translation and Speech-to-Speech Translation via Translation Hypothesis Ensem- bling with NMT models and Large Language Models

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:47:47.800247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 707e9544-7332-4711-b299-ca1099d5b060 · outbound

This paper cites COMET: A Neural Framework for MT Evaluation.

DIMT25@ICDAR2025: HW-TSC's End-to-End Document Image Machine Translation System Leveraging Large Vision-Language Model COMET: A Neural Framework for MT Evaluation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:47:47.784757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c1609d2a-32e7-4371-8a1f-424cf017e222 · outbound

This paper cites COMET-22: Unbabel-IST 2022 submission for the met- rics shared task.

DIMT25@ICDAR2025: HW-TSC's End-to-End Document Image Machine Translation System Leveraging Large Vision-Language Model COMET-22: Unbabel-IST 2022 submission for the met- rics shared task

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:47:47.769912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0a1690c7-7106-444c-911d-b7a9bf81133a · outbound

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

DIMT25@ICDAR2025: HW-TSC's End-to-End Document Image Machine Translation System Leveraging Large Vision-Language Model Bleu: a method for automatic evaluation of machine translation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T10:47:47.558093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a02fca6-6b1b-44a6-b0a7-992664cae950 · outbound

This paper cites Evaluating Menu OCR and Translation: A Benchmark for Aligning Human and Automated Evaluations in Large Vision-Language Models.

DIMT25@ICDAR2025: HW-TSC's End-to-End Document Image Machine Translation System Leveraging Large Vision-Language Model Evaluating Menu OCR and Translation: A Benchmark for Aligning Human and Automated Evaluations in Large Vision-Language Models

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-16T10:47:47.604611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.