Paper Citation Record · LEDGER

Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 41 inbound Pith citation observations for arXiv:2401.08417.

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

pith.paper-citation-record.v1
2401.08417 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 41 of 41 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:21:56.131995Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

19
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7db7b687-a422-4df4-b77a-c62bb2163815 · inbound

KTO: Model Alignment as Prospect Theoretic Optimization cites this paper.

KTO: Model Alignment as Prospect Theoretic Optimization Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-12T12:17:53.535928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 280ad9b7-2752-484f-89a5-eee493848c08 · inbound

Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive cites this paper.

Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 181

Resolution: verified exact; arxiv_id, observed 2026-05-17T23:04:44.552559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c0996dfa-091d-448f-8ce5-29f73372b4f9 · inbound

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation cites this paper.

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T18:21:56.131995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59ef00cd-320d-4638-9330-b947142d06bf · inbound

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling cites this paper.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.289278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f7339df-a957-4429-9187-a0870b3f8513 · inbound

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective cites this paper.

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-09T04:08:52.094738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23606bc7-2505-4ebd-8220-6702321e2409 · inbound

Preference Optimization via Contrastive Divergence: Your Reward Model is Secretly an NLL Estimator cites this paper.

Preference Optimization via Contrastive Divergence: Your Reward Model is Secretly an NLL Estimator Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-08T22:27:11.560059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d1f0652-e606-4e17-8087-744fdbbf5409 · inbound

Design Considerations in Offline Preference-based RL cites this paper.

Design Considerations in Offline Preference-based RL Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-08T19:40:42.059588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b21bd03-5d6a-434e-8f60-6a9969484189 · inbound

DPO-Shift: Shifting the Distribution of Direct Preference Optimization cites this paper.

DPO-Shift: Shifting the Distribution of Direct Preference Optimization Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:46.022685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22d01a01-439d-46f8-927c-b0520f2c1320 · inbound

Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification cites this paper.

Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-08T05:48:15.456509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 324d4f77-7478-4414-94a2-de91af3b5bda · inbound

Quality-Aware Decoding: Unifying Quality Estimation and Decoding cites this paper.

Quality-Aware Decoding: Unifying Quality Estimation and Decoding Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-08T04:43:50.047380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09d26105-a72f-405c-a0d0-6403f859065e · inbound

OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment cites this paper.

OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-12T18:30:35.848745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 95f54e3b-6556-475f-9b43-978d43070305 · inbound

AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation cites this paper.

AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T15:44:36.826281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfa4bd3c-b466-44e1-87db-f009da03e8bb · inbound

LPOI: Listwise Preference Optimization for Vision Language Models cites this paper.

LPOI: Listwise Preference Optimization for Vision Language Models Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T13:45:57.999280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cb40ea7-ff7c-4ca5-aa3a-25c69d8e4f62 · inbound

Rethinking the Outlier Distribution in Large Language Models: An In-depth Study cites this paper.

Rethinking the Outlier Distribution in Large Language Models: An In-depth Study Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T13:30:41.250316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb0c4eac-4fe4-4aee-af1f-e792626041a8 · inbound

Modeling and Optimizing User Preferences in AI Copilots: A Comprehensive Survey and Taxonomy cites this paper.

Modeling and Optimizing User Preferences in AI Copilots: A Comprehensive Survey and Taxonomy Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 110

Resolution: unresolved; no resolver link, observed 2026-08-07T13:24:31.123942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d238ecb2-aae5-4a22-bd50-946d0b93d14a · inbound

Dynamic Chunking and Selection for Reading Comprehension of Ultra-Long Context in Large Language Models cites this paper.

Dynamic Chunking and Selection for Reading Comprehension of Ultra-Long Context in Large Language Models Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T12:03:43.858520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation cites this paper.

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.

Observation af387f66-aec4-435a-8937-4b8963b97828 · inbound

Beyond the Sentence: A Survey on Context-Aware Machine Translation with Large Language Models cites this paper.

Beyond the Sentence: A Survey on Context-Aware Machine Translation with Large Language Models Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 103

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:55.755922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e32c56e3-f9c3-4bd4-8cd8-ecf2db0e1d99 · inbound

Bridging Brains and Machines: A Unified Frontier in Neuroscience, Artificial Intelligence, and Neuromorphic Systems cites this paper.

Bridging Brains and Machines: A Unified Frontier in Neuroscience, Artificial Intelligence, and Neuromorphic Systems Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 147

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T04:42:04.897181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 544a1f1a-e850-4493-b7b1-4a9b4e2953be · inbound

Align-then-Slide: A complete evaluation framework for Ultra-Long Document-Level Machine Translation cites this paper.

Align-then-Slide: A complete evaluation framework for Ultra-Long Document-Level Machine Translation Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T10:45:01.615271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bafba22-3839-4f62-8cb5-b949368ae695 · inbound

Failure Modes of Maximum Entropy RLHF cites this paper.

Failure Modes of Maximum Entropy RLHF Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 55

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T14:02:39.675159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ea2b1167-7325-4b3d-a3e5-78e03367dc93 · inbound

Multiplayer Nash Preference Optimization cites this paper.

Multiplayer Nash Preference Optimization Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:11:23.983816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f5fc538f-c12f-4db9-8945-22718bca6018 · inbound

Epistemic-aware Vision-Language Foundation Model for Fetal Ultrasound Interpretation cites this paper.

Epistemic-aware Vision-Language Foundation Model for Fetal Ultrasound Interpretation Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T09:54:46.411624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bec05bba-af50-483a-8d70-9c325ea225c9 · inbound

$M^2PO$: Multi-Perspective Multi-Pair Preference Optimization for Machine Translation cites this paper.

$M^2PO$: Multi-Perspective Multi-Pair Preference Optimization for Machine Translation Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T09:50:07.127724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67636e1e-828a-40b8-b231-155a350b0412 · inbound

What Is Preference Optimization Doing, and Why? cites this paper.

What Is Preference Optimization Doing, and Why? Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-21T18:40:29.005227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5eacc725-a747-4a31-accb-034297dbfdf9 · inbound

Relative Density Ratio Optimization for Stable and Statistically Consistent Model Alignment cites this paper.

Relative Density Ratio Optimization for Stable and Statistically Consistent Model Alignment Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:35:49.377607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d0d23759-f820-423a-97bc-3a483e448819 · inbound

Mobile GUI Agent Privacy Personalization with Trajectory Induced Preference Optimization cites this paper.

Mobile GUI Agent Privacy Personalization with Trajectory Induced Preference Optimization Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:11:01.099211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b7d692ec-3dd0-43d1-9f20-49869fc4bb58 · 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 Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:11:20.427106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6a65cc73-ea3a-4df1-99b7-3eca87f1cf5d · inbound

Representation-Guided Parameter-Efficient LLM Unlearning cites this paper.

Representation-Guided Parameter-Efficient LLM Unlearning Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 205

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:06:19.172222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 21a7338d-f50d-4455-8741-e3a48e55653c · inbound

Local Linearity of LLMs Enables Activation Steering via Model-Based Linear Optimal Control cites this paper.

Local Linearity of LLMs Enables Activation Steering via Model-Based Linear Optimal Control Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 79

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:01:03.950265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d778a8ea-7050-40f1-8a7c-2672d35674b1 · inbound

Gradient-Gated DPO: Stabilizing Preference Optimization in Language Models cites this paper.

Gradient-Gated DPO: Stabilizing Preference Optimization in Language Models Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:20:41.667880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 52d4943d-3e50-4041-8a1d-9b401d5e1335 · inbound

Revisiting Reinforcement Learning with Verifiable Rewards from a Contrastive Perspective cites this paper.

Revisiting Reinforcement Learning with Verifiable Rewards from a Contrastive Perspective Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:22:54.776968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0ccd9fa0-a1fc-4d09-ab96-80641d739098 · inbound

Revisiting Reinforcement Learning with Verifiable Rewards from a Contrastive Perspective cites this paper.

Revisiting Reinforcement Learning with Verifiable Rewards from a Contrastive Perspective Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-20T21:43:45.411453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fd6bc3c5-65b3-4523-a52d-8b6f8b98b27f · inbound

Convex Optimization for Alignment and Preference Learning on a Single GPU cites this paper.

Convex Optimization for Alignment and Preference Learning on a Single GPU Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:05:23.085273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ccd44c64-f12c-4eeb-9e8d-4b7c70dad01c · inbound

DTO: a Differentiable Training Objective for Effective Counterfactual Story Rewriting cites this paper.

DTO: a Differentiable Training Objective for Effective Counterfactual Story Rewriting Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T12:24:39.726799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 61f2a950-f24e-4286-af01-07728f6e4539 · inbound

AdaDPO: Self-Adaptive Direct Preference Optimization with Balanced Gradient Updates cites this paper.

AdaDPO: Self-Adaptive Direct Preference Optimization with Balanced Gradient Updates Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-29T12:33:24.398446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5fc2ab2a-9b21-4613-90a9-a73e44bbe1fa · inbound

Activation Steering of Video Generation Models via Reduced-Order Linear Optimal Control cites this paper.

Activation Steering of Video Generation Models via Reduced-Order Linear Optimal Control Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T06:56:44.388510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation aae3d34a-8a00-4975-9706-29d2dafa9a70 · inbound

Contextualizing Biological Language Models across Modalities via Logit-Space Contrastive Alignment cites this paper.

Contextualizing Biological Language Models across Modalities via Logit-Space Contrastive Alignment Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 95

Resolution: metadata mismatch; arxiv_id, observed 2026-06-26T21:40:08.485586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0be3fd7a-e61b-457d-8f6f-ead291653e7f · inbound

BV-Blend: Uncertainty-Weighted Historical Baselines for Stable Critic-Free RL with Verifiable Rewards cites this paper.

BV-Blend: Uncertainty-Weighted Historical Baselines for Stable Critic-Free RL with Verifiable Rewards Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-06-30T12:44:40.138588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9d95a778-fd02-4798-999d-41be8fa56f2d · inbound

Every Sample Counts: Supervised Fine-Tuning of Language Models with Pointwise Constraints cites this paper.

Every Sample Counts: Supervised Fine-Tuning of Language Models with Pointwise Constraints Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-13T05:26:06.829382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5096632a-e454-4d65-8680-052bac2e96a7 · inbound

AIGB-R1: Self-Evolving Generative Auto-Bidding via Hierarchical Planner-Executor Optimization cites this paper.

AIGB-R1: Self-Evolving Generative Auto-Bidding via Hierarchical Planner-Executor Optimization Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-01T18:32:48.225202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.