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Paper Citation Record · LEDGER

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction

As of 11 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2501.15219.

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

pith.paper-citation-record.v1
2501.15219 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:33:23.475198Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:29:36.639787Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:29:40.550652Z

Reference resolution

35 of 35 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved28
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch6

External citation measurements

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Outbound references

Observation e85f4945-6716-45d5-9a9c-46869034b7a8 · outbound

This paper cites Iterative Translation Refinement with Large Language Models.

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction Iterative Translation Refinement with Large Language Models

Reference 4

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local_arxiv, observed 2026-08-10T14:33:24.169797Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation f7b0aa50-f486-4eba-9600-b45d2cad82eb · outbound

This paper cites Beyond English-Centric Multilingual Machine Translation.

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction Beyond English-Centric Multilingual Machine Translation

Reference 6

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source=pdf_text observed=2026-08-10T14:33:22.875978Z digest=sha256:e74c24238fe090bc5816c8cb238ffca03fb6a3de21728b2cafad7e02d7e8eb32

Observation 387701ba-ad80-461c-bf4f-dd64c78939b3 · outbound

This paper cites Airavata: Introducing Hindi Instruction-tuned LLM.

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction Airavata: Introducing Hindi Instruction-tuned LLM

Reference 8

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source=pdf_text observed=2026-08-10T14:33:22.936699Z digest=sha256:3b489a5580f375b03c0c71d8d550095bee87fb093e8a53f833ff9304d9918158

Observation 5fad8eb9-f69d-4440-bd72-9008d5b41a38 · outbound

This paper cites Arcee's MergeKit: A Toolkit for Merging Large Language Models.

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction Arcee's MergeKit: A Toolkit for Merging Large Language Models

Reference 9

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source=pdf_text observed=2026-08-10T14:33:22.951335Z digest=sha256:2bfcf87a8c80d1b6e423f84817f6a3bfe0f32d79fc78db0f4f8d94aebe368d9a

Observation 8ead6f8f-e5a8-448a-a4ee-9dfcd35ed488 · outbound

This paper cites Large Language Model based Multi-Agents: A Survey of Progress and Challenges.

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction Large Language Model based Multi-Agents: A Survey of Progress and Challenges

Reference 11

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source=pdf_text observed=2026-08-10T14:33:22.999746Z digest=sha256:14345730d045634252db54381df2b3e6b114ff1b816473224128585d37b10778

Observation 1fda9995-a6c2-4e52-b578-ae538eef6c07 · outbound

This paper cites On-the-Fly Fusion of Large Language Models and Machine Translation.

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction On-the-Fly Fusion of Large Language Models and Machine Translation

Reference 13

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source=pdf_text observed=2026-08-10T14:33:23.031405Z digest=sha256:91c829f50e1e254b2544ebd4760e433e541918b14118f3cd8ca51dbdd265d8a4

Observation 375832ef-66e2-4c49-a56c-395ec1432beb · outbound

This paper cites A Review of Hybrid and Ensemble in Deep Learning for Natural Language Processing.

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction A Review of Hybrid and Ensemble in Deep Learning for Natural Language Processing

Reference 14

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local_arxiv, observed 2026-08-10T14:33:23.957194Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T14:33:23.050752Z digest=sha256:8e5093a6c9f7f60d59d8bb6fcf8a056317185643221b33b14fa46048daa97b39

Observation 556cc18c-1955-4184-80cf-807e20f5c077 · outbound

This paper cites LLM Inference Serving: Survey of Recent Advances and Opportunities.

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction LLM Inference Serving: Survey of Recent Advances and Opportunities

Reference 15

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source=pdf_text observed=2026-08-10T14:33:23.061202Z digest=sha256:44958f27839437146f37a9b10bbd829d1031236035e4a55a7b8e77f0dd7f1d06

Observation 2f809faf-13d1-4fe3-9f20-d52fcd9d93b8 · outbound

This paper cites Multilingual Denoising Pre-training for Neural Machine Translation.

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction Multilingual Denoising Pre-training for Neural Machine Translation

Reference 16

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source=pdf_text observed=2026-08-10T14:33:23.068071Z digest=sha256:e2fe5d1f53cb8a840b838ac58569877e374020c5881b0b91849fc18fdd9ff9b6

Observation 2c391bf9-dabb-4a93-8e00-11cd2c653360 · outbound

This paper cites SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization.

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization

Reference 17

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source=pdf_text observed=2026-08-10T14:33:23.072912Z digest=sha256:b304e1039ed11b60e8ab132f051d851e78c5a600aea7eb7ff22e6cdf5fef1c6b

Observation 26cd1e96-7607-4fa0-b425-3844ef8e213e · outbound

This paper cites Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models.

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models

Reference 19

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source=pdf_text observed=2026-08-10T14:33:23.104079Z digest=sha256:cab0652724eb6fefb39aa36af1658e62d699265f314f5278cfb7bef1c346ad68

Observation 945625f8-b032-4caa-b2fa-ea5dc136a93c · outbound

This paper cites Self-Refine: Iterative Refinement with Self-Feedback.

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction Self-Refine: Iterative Refinement with Self-Feedback

Reference 20

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source=pdf_text observed=2026-08-10T14:33:23.151982Z digest=sha256:eee8bf381ab3e52e1c30629dc2e52e80116a461dbad1285dac56067b4977f6ad

Observation 60d1c8d9-6646-4403-8311-558f0b3585fc · outbound

This paper cites GPT-4 Technical Report.

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction GPT-4 Technical Report

Reference 22

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source=pdf_text observed=2026-08-10T14:33:23.226445Z digest=sha256:8d3d78cbed31c3ddee14ea7253d66c561b7e18a9db9a730948ed8bc569b79f0c

Observation 07a97135-8ae9-4299-b978-9b080a8dba70 · outbound

This paper cites Training language models to follow instructions with human feedback.

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction Training language models to follow instructions with human feedback

Reference 23

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source=pdf_text observed=2026-08-10T14:33:23.256634Z digest=sha256:59e4641232b618edce16dd6ebf5ecf7fd7d8f956d2348bbef0d3b9ff468bd075

Observation dedb540a-abd9-4678-9ec1-23e99d8e55a3 · outbound

This paper cites Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies.

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 24

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source=pdf_text observed=2026-08-10T14:33:23.285923Z digest=sha256:0c339e1175f919ba2290bc625493002e19528aaea7a0ee32184a551b8e33ede5

Observation d9f02e1a-f778-4809-8dba-24e51a5a55c5 · outbound

This paper cites Leveraging GPT-4 for Automatic Translation Post-Editing.

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction Leveraging GPT-4 for Automatic Translation Post-Editing

Reference 25

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local_arxiv, observed 2026-08-10T14:33:23.790289Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T14:33:23.309309Z digest=sha256:8cd62dfc6e9b6907d69de95a3c30f3d552226bc497deb17a5819ba4123243f3e

Observation 68d30eec-c159-4afd-8c13-c19e9bbdcb8f · outbound

This paper cites SummaReranker: A Multi-Task Mixture-of-Experts Re-ranking Framework for Abstractive Summarization.

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction SummaReranker: A Multi-Task Mixture-of-Experts Re-ranking Framework for Abstractive Summarization

Reference 26

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source=pdf_text observed=2026-08-10T14:33:23.338984Z digest=sha256:7b0a33f12e63706ca71640f92adb82b6e56c399180a4e43260c859a1ef86a0b1

Observation 1f47ec05-c9f9-4399-aac3-36fb4485f07d · outbound

This paper cites BLOOM: A 176B-Parameter Open-Access Multilingual Language Model.

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Reference 27

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source=pdf_text observed=2026-08-10T14:33:23.355258Z digest=sha256:09f3217286e6b8ac27eaf004b59a18584180e14c42be31ee58270c69d6efafaa

Observation f7483a5c-3721-43ad-b243-555f92bea205 · outbound

This paper cites Learning to summarize from human feedback.

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction Learning to summarize from human feedback

Reference 29

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source=pdf_text observed=2026-08-10T14:33:23.393313Z digest=sha256:3306101279169adeec09a8925f5e631b51902e2c0b597e4a9ecc54fff6cfb279

Observation 2016ff94-361f-4bc3-b490-d62c9da2fafe · outbound

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

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction No Language Left Behind: Scaling Human-Centered Machine Translation

Reference 30

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source=pdf_text observed=2026-08-10T14:33:23.428018Z digest=sha256:f08759853a8156a7d913586d9a2965eda5eebe7bed789d3a368f34d51913b9fc

Observation bc529397-2375-4071-b025-d8fd1ed6b7b2 · outbound

This paper cites Knowledge Fusion of Large Language Models.

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction Knowledge Fusion of Large Language Models

Reference 31

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source=pdf_text observed=2026-08-10T14:33:23.448595Z digest=sha256:42fb528db1b4547e1cd37e0211aa48210f43bd12065e5b1cc2423d29dee7d2a4

Observation c25e3c44-40ca-4aae-bfff-6ce553cf8ef0 · outbound

This paper cites Online and Scalable Model Selection with Multi-Armed Bandits.

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction Online and Scalable Model Selection with Multi-Armed Bandits

Reference 32

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local_arxiv, observed 2026-08-10T14:33:23.587291Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T14:33:23.458104Z digest=sha256:9bd5507149fc7a8471c1ae10573502cc06890b07d9b853f5358d00acda246760

Observation 4285c4e6-943b-4f7c-9558-62514a80b005 · outbound

This paper cites INSTRUCTSCORE: Explainable Text Generation Evaluation with Finegrained Feedback.

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction INSTRUCTSCORE: Explainable Text Generation Evaluation with Finegrained Feedback

Reference 33

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source=pdf_text observed=2026-08-10T14:33:23.463850Z digest=sha256:2e4d52234735d5103c0b6b0ed8f6b7d89a868b71a83ca6d4393e38cace5dbb22

Observation 19cf54c2-587a-4ec3-b38a-a66ce02e9b12 · outbound

This paper cites mT5: A massively multilingual pre-trained text-to-text transformer.

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction mT5: A massively multilingual pre-trained text-to-text transformer

Reference 34

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Observation efee327c-f6a9-4646-89db-c9a658546c73 · outbound

This paper cites LLM Inference Unveiled: Survey and Roofline Model Insights.

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 35

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Observation f2263175-cc95-4ea9-a361-302ddf772255 · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction Playing Atari with Deep Reinforcement Learning

Reference 2013

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Observation 026a372b-f0e1-4678-90a0-554ee69f2907 · outbound

This paper cites In Proceedings of the Ninth Workshop on Statistical Machine Translation, pages 12–58, Baltimore, Maryland, USA.

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction In Proceedings of the Ninth Workshop on Statistical Machine Translation, pages 12–58, Baltimore, Maryland, USA

Reference 2014

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T14:33:22.747442Z digest=sha256:79900400aa984b3e01d3bb363e6176d69069a3aac9305ea6537fcdcd1189e1fb

Observation 83fbc3c0-502a-4860-91e5-62962254c7f1 · outbound

This paper cites Deep Residual Learning for Image Recognition.

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction Deep Residual Learning for Image Recognition

Reference 2015

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Observation 40f81a7b-9c8d-48c4-90e2-450fab208481 · outbound

This paper cites Reinforcement Learning based Dynamic Model Selection for Short-Term Load Forecasting.

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction Reinforcement Learning based Dynamic Model Selection for Short-Term Load Forecasting

Reference 2018

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local_arxiv, observed 2026-08-10T14:33:24.068295Z

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source=pdf_text observed=2026-08-10T14:33:22.907152Z digest=sha256:1b6debb2ee12a051c0dbe5d47412457b65af5381a1262291ba6e7d4bd1906483

Observation 84777a52-65ac-49ef-ab92-4942db35145b · outbound

This paper cites Adaptive Model Selection Framework: An Application to Airline Pricing.

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction Adaptive Model Selection Framework: An Application to Airline Pricing

Reference 2019

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local_arxiv, observed 2026-08-10T14:33:23.707029Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T14:33:23.370514Z digest=sha256:8cc3c553cf80b2e15cc7937423d0db01dcd20fdc94fa57f69fcb5b914e3c5cd5

Observation 7f1adec8-85fb-4c0c-89a2-4577a569533e · outbound

This paper cites Unsupervised Cross-lingual Representation Learning at Scale.

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction Unsupervised Cross-lingual Representation Learning at Scale

Reference 2020

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source=pdf_text observed=2026-08-10T14:33:22.845612Z digest=sha256:45c5d9006dc765c5f5ed3dc5a9eebcba41f65a7f3c9e8a4203bf51a04fae2380

Observation f22b811a-3faa-4aaf-ab41-c27b97442c58 · outbound

This paper cites The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation.

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation

Reference 2021

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source=pdf_text observed=2026-08-10T14:33:22.976676Z digest=sha256:5f02a38cb00c0bf41ec5fb2934f117bc9133e0e998d7d7e390dc387270278ed7

Observation f3dd5bc0-b804-493f-999d-4fe705cc09d8 · outbound

This paper cites Efficient Large Scale Language Modeling with Mixtures of Experts.

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction Efficient Large Scale Language Modeling with Mixtures of Experts

Reference 2022

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source=pdf_text observed=2026-08-10T14:33:22.720381Z digest=sha256:cc8a30d402e959461bf50fa5b16a85b6132060570bc1759e329c7968f763b9aa

Observation f9a344ec-c16f-49f0-9888-83e87f3fd8dc · outbound

This paper cites A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration.

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 2023

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source=pdf_text observed=2026-08-10T14:33:23.076665Z digest=sha256:8eb3a13fbef02f82950b432cb06538c25de244bf4590803881965d724c3722c8

Observation f4354785-9f15-4db9-b00f-f651b000ebab · outbound

This paper cites Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads.

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads

Reference 2024

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source=pdf_text observed=2026-08-10T14:33:22.772646Z digest=sha256:7c2911b55b5c57540299a174e35ad949686745dbff8e9dfb7d4182a41756b2ec

Pith citing papers

Observation 5938f137-df06-47a6-bd86-92408e7c88c9 · inbound

In-Domain African Languages Translation Using LLMs and Multi-armed Bandits cites this paper.

In-Domain African Languages Translation Using LLMs and Multi-armed Bandits Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction

Reference 35

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local_arxiv, observed 2026-08-07T15:29:40.622815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T15:29:36.639787Z digest=sha256:7eeef9e8667e32993a5d45fd4690abdc581b5afcb2476d52ff422b08a568fd24