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Paper Citation Record · LEDGER

Calibrating Translation Decoding with Quality Estimation on LLMs

As of 18 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 2 inbound Pith citation observations for arXiv:2504.19044.

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

pith.paper-citation-record.v1
2504.19044 v3

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:11:10.482980Z

measured 36 of 36 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T03:16:19.173230Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T18:08:46.924595Z

Reference resolution

34 of 34 outbound references displayed

  • verified exact2
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External citation measurements

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Outbound references

Observation edd03b4f-ade0-4b0c-8ae8-ab61bec04b29 · outbound

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

Calibrating Translation Decoding with Quality Estimation on LLMs Tower: An Open Multilingual Large Language Model for Translation-Related Tasks

Reference 1

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Observation ea05e93d-2cc2-49f2-9df9-7dcda20c896f · outbound

This paper cites Each data point represents the number of samples corresponding to a specific pair of scores before and after calibration (vertical and horizontal axes), respectively.

Calibrating Translation Decoding with Quality Estimation on LLMs Each data point represents the number of samples corresponding to a specific pair of scores before and after calibration (vertical and horizontal axes), respectively

Reference 3

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Observation ade5d22d-1b9b-44d3-a1c2-53d60ae8ebf2 · outbound

This paper cites doi: 10.18653/v1/2022.sum eval-1.4.

Calibrating Translation Decoding with Quality Estimation on LLMs doi: 10.18653/v1/2022.sum eval-1.4

Reference 6

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doi, observed 2026-08-16T10:11:10.568503Z

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Observation 33fbfe22-3fb0-4a85-af9c-656c9ea2cad2 · outbound

This paper cites doi: 10.18653/v1/2022.naacl-main.100.

Calibrating Translation Decoding with Quality Estimation on LLMs doi: 10.18653/v1/2022.naacl-main.100

Reference 7

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Observation 9f25e734-fdee-4bb3-82dd-4297a1fa0f83 · outbound

This paper cites Direct Language Model Alignment from Online AI Feedback.

Calibrating Translation Decoding with Quality Estimation on LLMs Direct Language Model Alignment from Online AI Feedback

Reference 10

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Observation 71e0ca56-5069-4913-b5d9-c18f590153c4 · outbound

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

Calibrating Translation Decoding with Quality Estimation on LLMs How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation

Reference 11

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Observation 250dd579-bd2e-450a-8e66-7d2faa4559f2 · outbound

This paper cites Evaluation of Best-of-N Sampling Strategies for Language Model Alignment.

Calibrating Translation Decoding with Quality Estimation on LLMs Evaluation of Best-of-N Sampling Strategies for Language Model Alignment

Reference 12

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Observation b4606f9d-3754-4c8a-8d7c-699d195e56fd · outbound

This paper cites MetricX-24: The Google Submission to the WMT 2024 Metrics Shared Task.

Calibrating Translation Decoding with Quality Estimation on LLMs MetricX-24: The Google Submission to the WMT 2024 Metrics Shared Task

Reference 14

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Observation c3feb169-9734-4977-a4cc-1fb9df60b7a1 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Calibrating Translation Decoding with Quality Estimation on LLMs Adam: A Method for Stochastic Optimization

Reference 15

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Observation bd7bb91b-7682-4b8d-96f1-c9ec0d849b43 · outbound

This paper cites URLhttps://aclanthology.org/2022.wmt-1.1/.

Calibrating Translation Decoding with Quality Estimation on LLMs URLhttps://aclanthology.org/2022.wmt-1.1/

Reference 17

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Observation cb60159e-57c7-4c7d-9a25-3a80b8f0c9d7 · outbound

This paper cites Calibration of Encoder Decoder Models for Neural Machine Translation.

Calibrating Translation Decoding with Quality Estimation on LLMs Calibration of Encoder Decoder Models for Neural Machine Translation

Reference 19

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Observation 994b9440-a53d-4142-9764-7fb2ffa771f5 · outbound

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

Calibrating Translation Decoding with Quality Estimation on LLMs COMET: A neural framework for MT evaluation

Reference 25

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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.

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Observation b8b179ce-afb9-4dd1-bdf8-eb75a0c8335b · outbound

This paper cites CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task.

Calibrating Translation Decoding with Quality Estimation on LLMs CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task

Reference 26

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Observation be918f76-5c0e-4379-a65d-3382fb622f13 · outbound

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

Calibrating Translation Decoding with Quality Estimation on LLMs A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models

Reference 27

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Observation 72d0f52f-6983-4789-9bc8-cec0c925de57 · outbound

This paper cites Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation.

Calibrating Translation Decoding with Quality Estimation on LLMs Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 28

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Observation 08b10dce-cbe7-4a8c-b336-3c01d9716c33 · outbound

This paper cites Direct preference optimization for neural machine translation with minimum Bayes risk decoding.

Calibrating Translation Decoding with Quality Estimation on LLMs Direct preference optimization for neural machine translation with minimum Bayes risk decoding

Reference 29

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation da9a01f9-727d-4643-94ee-4b8a80b55cda · outbound

This paper cites doi: 10.18653/v1/2024.naacl-short.34.

Calibrating Translation Decoding with Quality Estimation on LLMs doi: 10.18653/v1/2024.naacl-short.34

Reference 30

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Observation 59305ca8-bd09-4ad4-beed-92fc2fa8a9b9 · outbound

This paper cites Calibrating Sequence likelihood Improves Conditional Language Generation.

Calibrating Translation Decoding with Quality Estimation on LLMs Calibrating Sequence likelihood Improves Conditional Language Generation

Reference 31

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Observation 23d635b4-8d30-492d-b2dc-2e13ddf0966c · outbound

This paper cites A preference-driven paradigm for enhanced translation with large language models.

Calibrating Translation Decoding with Quality Estimation on LLMs A preference-driven paradigm for enhanced translation with large language models

Reference 32

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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.

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Observation 8ece6dfe-c04e-46f9-8909-46019b442c88 · outbound

This paper cites doi: 10.18653/v1/2024.naacl-long.186.

Calibrating Translation Decoding with Quality Estimation on LLMs doi: 10.18653/v1/2024.naacl-long.186

Reference 33

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Observation d3368c7f-87bf-4742-8ef7-981009833787 · outbound

This paper cites Large Language Monkeys: Scaling Inference Compute with Repeated Sampling.

Calibrating Translation Decoding with Quality Estimation on LLMs Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Reference 1952

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Observation eb341387-96ef-4d72-8826-d6350cda4835 · outbound

This paper cites doi: 10.3115/1073083.1073135.

Calibrating Translation Decoding with Quality Estimation on LLMs doi: 10.3115/1073083.1073135

Reference 2002

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Observation 04574e6d-0aca-46f5-b07f-ef0b9ed93ddd · outbound

This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.

Calibrating Translation Decoding with Quality Estimation on LLMs Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 2004

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Observation 66e1b4e0-a492-4fac-9851-ce1ff1d3bc0f · outbound

This paper cites Findings of the 2022 conference on machine translation (WMT22).

Calibrating Translation Decoding with Quality Estimation on LLMs Findings of the 2022 conference on machine translation (WMT22)

Reference 2014

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:11:10.414645Z digest=sha256:f2c9fa20332ba4c24e926f2e5a13d1868d89c808edcd8c60a57ae8f3a4087a51

Observation 8f4285c0-8902-4c72-a18a-a11126efe1ce · outbound

This paper cites doi: 10.18653/v1/W15-3049.

Calibrating Translation Decoding with Quality Estimation on LLMs doi: 10.18653/v1/W15-3049

Reference 2015

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Observation d293f4c0-97d8-4f2c-9a4b-83d98fee6779 · outbound

This paper cites doi: 10.18653/v1/W17-3204.

Calibrating Translation Decoding with Quality Estimation on LLMs doi: 10.18653/v1/W17-3204

Reference 2017

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Observation 8005392d-d252-4585-ad10-91265d9e3b46 · outbound

This paper cites doi: 10.18653/v1/ W18-6322.

Calibrating Translation Decoding with Quality Estimation on LLMs doi: 10.18653/v1/ W18-6322

Reference 2018

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Observation 61f1c237-12ce-4dbe-afa9-810cd4791860 · outbound

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

Calibrating Translation Decoding with Quality Estimation on LLMs Minimum Bayes-risk decoding for statistical machine translation

Reference 2019

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raw_fallback, observed 2026-08-16T10:11:10.909837Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 2a78f84c-0834-424f-89ce-292b195871a0 · outbound

This paper cites URLhttps://aclanthology.org/2020.tacl-1.35/.

Calibrating Translation Decoding with Quality Estimation on LLMs URLhttps://aclanthology.org/2020.tacl-1.35/

Reference 2020

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Observation 3c75301b-b38e-45c5-ac9e-415987e962a1 · outbound

This paper cites URLhttps://aclanthology.org/2021.tacl-1.87/.

Calibrating Translation Decoding with Quality Estimation on LLMs URLhttps://aclanthology.org/2021.tacl-1.87/

Reference 2021

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Observation f632d4c1-8c42-473a-9c6c-f982923026aa · outbound

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Calibrating Translation Decoding with Quality Estimation on LLMs KTO: Model Alignment as Prospect Theoretic Optimization

Reference 2022

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Observation 68803691-6fb3-4462-8fab-f8896d4187c3 · outbound

This paper cites No Language Left Behind: Scaling Human-Centered Machine Translation.

Calibrating Translation Decoding with Quality Estimation on LLMs No Language Left Behind: Scaling Human-Centered Machine Translation

Reference 2023

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Observation c2731c82-cd54-43b3-9503-5d78a371e778 · outbound

This paper cites Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback.

Calibrating Translation Decoding with Quality Estimation on LLMs Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback

Reference 2024

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Observation eb396057-6756-4638-93ce-d0bc7a3d8138 · outbound

This paper cites MetricX-23: The Google submission to the WMT 2023 metrics shared task.

Calibrating Translation Decoding with Quality Estimation on LLMs MetricX-23: The Google submission to the WMT 2023 metrics shared task

Reference 2025

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raw_fallback, observed 2026-08-16T10:11:10.941909Z

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=2026-08-16T10:11:10.403605Z digest=sha256:46e7e321ca2fbb1727cea8091d833d69307630e44ead87975ba0a2afcfce66bb

Pith citing papers

Observation a2d67e79-5ba3-47fc-b3a6-2004d91d3dde · inbound

Who Watches the Watchmen? Humans Disagree With Translation Metrics on Unseen Domains cites this paper.

Who Watches the Watchmen? Humans Disagree With Translation Metrics on Unseen Domains Calibrating Translation Decoding with Quality Estimation on LLMs

Reference 36

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arxiv_id, observed 2026-05-10T06:11:20.422190Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-10T06:07:15.198716Z digest=sha256:99646b40801928ebfc60dcf5ed05b31a9f64d8be324d326fa64c565b03af07ba

Observation a4518c7f-2b0d-4b42-b966-45135e8cd017 · inbound

Speaking in Self-Assessing Tongues: On the Verbalized Confidence of LLMs in Machine Translation cites this paper.

Speaking in Self-Assessing Tongues: On the Verbalized Confidence of LLMs in Machine Translation Calibrating Translation Decoding with Quality Estimation on LLMs

Reference 39

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arxiv_id, observed 2026-07-03T18:08:46.925941Z

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=arxiv_source observed=2026-06-27T03:16:19.173230Z digest=sha256:8770c0e93d18505e4ab58e995c1fd9f00bcb02448e1575e6342c2c1520d6d73c