Paper Citation Record · LEDGER

RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation

As of 13 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 1 inbound Pith citation observation for arXiv:2506.05070.

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

pith.paper-citation-record.v1
2506.05070 v2

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:31:58.854906Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T13:58:53.430492Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T14:00:28.739440Z

Reference resolution

64 of 64 outbound references displayed

verified exact3
verified fuzzy2
unresolved59
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4aef4f8a-4efb-448e-9302-1fb752988ee2 · outbound

This paper cites URL: " 'urlintro :=.

RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation URL: " 'urlintro :=

Reference 1

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Observation 43a10ab0-bd84-49f3-ab43-6a4e4d51e9ae · outbound

This paper cites write newline.

RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation write newline

Reference 2

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Observation d3c297ee-c723-4649-ad59-260d500d7ba2 · outbound

This paper cites GPT-4 Technical Report.

RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation GPT-4 Technical Report

Reference 3

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Observation 814d1cc0-7757-44a5-8247-f66e06bdb408 · outbound

This paper cites Scalable Ensembling For Mitigating Reward Overoptimisation.

RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Scalable Ensembling For Mitigating Reward Overoptimisation

Reference 4

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Observation c495aa36-a0a6-4e35-897b-b39e32dacadb · outbound

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

RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Tower: An Open Multilingual Large Language Model for Translation-Related Tasks

Reference 5

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Observation e808fdcb-b6c2-4d25-bb7d-d73c297dc441 · outbound

This paper cites Concrete Problems in AI Safety.

RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Concrete Problems in AI Safety

Reference 6

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Observation fe80d579-e51f-41e1-96b1-0655ba1804a0 · outbound

This paper cites Qwen Technical Report.

RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Qwen Technical Report

Reference 7

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Observation dc428be4-0dc3-4508-900e-89bd237f8020 · outbound

This paper cites Emergent Complexity via Multi-Agent Competition.

RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Emergent Complexity via Multi-Agent Competition

Reference 8

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Observation cb90f93b-66ae-418b-9270-a838e25382b9 · outbound

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RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Unresolved cited work

Reference 9

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Observation 33556244-a5fb-4791-ae68-32141301413a · outbound

This paper cites an unresolved cited work.

RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Unresolved cited work

Reference 10

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Observation 0845b035-c6e9-4ef5-b840-5557464b2c83 · outbound

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RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Unresolved cited work

Reference 11

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Observation 56e3d274-f9a2-4493-9e26-90213e9bc965 · outbound

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RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Unresolved cited work

Reference 12

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Observation 31b62ac5-511a-400e-8239-fa51a5c12ace · outbound

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RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Unresolved cited work

Reference 13

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Observation 53cc20fb-ca4b-4433-9ce8-119417ded970 · outbound

This paper cites Christiano, Jan Leike, Tom B.

RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Christiano, Jan Leike, Tom B

Reference 14

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Observation b807f088-fd29-4a3c-88ff-08690762dcc7 · outbound

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RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Unresolved cited work

Reference 15

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Observation f6b9c1cb-0d09-459e-b7fe-5221d89fd310 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 16

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Observation d2cdc9af-7ef8-41d7-850b-0726031690e7 · outbound

This paper cites Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models.

RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models

Reference 17

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Observation 806d647f-eff4-49d1-b43c-f88187e4ae0c · outbound

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RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Unresolved cited work

Reference 18

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Observation 37f8064f-43b1-4588-80f6-b4f8e37ecb1f · outbound

This paper cites Sharkey, Jacob Pfau, and David Krueger.

RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Sharkey, Jacob Pfau, and David Krueger

Reference 19

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Observation e21614d8-da94-49b4-a126-d7340da0b202 · outbound

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RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Unresolved cited work

Reference 20

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Observation 7f8677c2-5b30-41ac-a233-fa9c0bdc1e58 · outbound

This paper cites Reward Tampering Problems and Solutions in Reinforcement Learning: A Causal Influence Diagram Perspective.

RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Reward Tampering Problems and Solutions in Reinforcement Learning: A Causal Influence Diagram Perspective

Reference 21

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RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Unresolved cited work

Reference 22

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Observation 44331071-acc5-481f-9936-d2f72986b32e · outbound

This paper cites MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning.

RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning

Reference 23

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RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Unresolved cited work

Reference 24

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Observation 6a3ba601-d6c1-4ce7-aef7-cc5dab0bda08 · outbound

This paper cites Adversarial Policies: Attacking Deep Reinforcement Learning.

RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Adversarial Policies: Attacking Deep Reinforcement Learning

Reference 25

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RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Unresolved cited work

Reference 26

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Observation 32586a40-4472-4f8b-9681-debe3d640808 · outbound

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RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Unresolved cited work

Reference 27

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Observation 8c8e82d1-5f1e-4856-a566-c97b63036b82 · outbound

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RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation The Llama 3 Herd of Models

Reference 28

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RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation R1-T1: Fully Incentivizing Translation Capability in LLMs via Reasoning Learning

Reference 29

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RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Unresolved cited work

Reference 30

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RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Unresolved cited work

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RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation FLEUR: An Explainable Reference-Free Evaluation Metric for Image Captioning Using a Large Multimodal Model

Reference 32

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RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Unresolved cited work

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RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Unresolved cited work

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RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Data Selection Curriculum for Neural Machine Translation

Reference 35

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Observation c76aba47-09a2-417d-9cbd-2353896b00d0 · outbound

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RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Unresolved cited work

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RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation OpenAI o1 System Card

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RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Unresolved cited work

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RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models

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RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation A Deep Reinforced Model for Abstractive Summarization

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RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Sequence Level Training with Recurrent Neural Networks

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RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task

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RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Proximal Policy Optimization Algorithms

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RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation BLEURT: Learning Robust Metrics for Text Generation

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RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 49

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RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation HybridFlow: A Flexible and Efficient RLHF Framework

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RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

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RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Unresolved cited work

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RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Remedy: Learning Machine Translation Evaluation from Human Preferences with Reward Modeling

Reference 54

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RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Llama 2: Open Foundation and Fine-Tuned Chat Models

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RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Avoiding Tampering Incentives in Deep RL via Decoupled Approval

Reference 56

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Observation 7db21fb0-8274-483a-855a-770646a5f354 · outbound

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RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Large Language Models are Better Reasoners with Self-Verification

Reference 59

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Observation 4f4a20ab-a61a-4ed7-a2f4-e9030f44c884 · outbound

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RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Unresolved cited work

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T10:31:58.822218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3dba0183-55ae-4acf-8082-250d94d7ab31 · outbound

This paper cites an unresolved cited work.

RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Unresolved cited work

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T10:31:58.827925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b9d0a21-403c-4f8c-b44b-a0a6dc4c42d8 · outbound

This paper cites an unresolved cited work.

RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Unresolved cited work

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T10:31:58.837869Z

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Observation bdadc1b5-c4b4-4594-b592-672929e0f370 · outbound

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

RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T10:31:58.843811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74720cda-6b79-43b4-9a2f-e39f780edf78 · outbound

This paper cites an unresolved cited work.

RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:32:00.318317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 39ece709-7d17-4acd-a95f-5c97499f6594 · outbound

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

RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T10:31:58.854906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 50cc0c47-2c40-480a-bfaa-f44cd5bc1755 · inbound

Reward Hacking in the Era of Large Models: Mechanisms, Emergent Misalignment, Challenges cites this paper.

Reward Hacking in the Era of Large Models: Mechanisms, Emergent Misalignment, Challenges RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation

Reference 109

Resolution: verified exact; arxiv_id, observed 2026-05-10T14:00:28.742286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.