Paper Citation Record · LEDGER

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models

As of 23 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 3 inbound Pith citation observations for arXiv:2505.10892.

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

pith.paper-citation-record.v1
2505.10892 v2

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:08:56.977697Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T08:52:34.039089Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

62 of 62 outbound references displayed

verified exact0
verified fuzzy15
unresolved47
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 105f9312-5888-4084-a3d8-a1e01985d193 · outbound

This paper cites GPT-4 Technical Report.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:56.695415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83c854ab-e810-460a-9b1b-59be6dc88438 · outbound

This paper cites Agnihotri, R.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Agnihotri, R

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:57.849923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e8de9cd9-9b15-4cce-8d72-2b7cc90129f4 · outbound

This paper cites Agnihotri, R.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Agnihotri, R

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:57.836979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 78ffbc57-53dc-4415-a587-4c2f3dd468d9 · outbound

This paper cites an unresolved cited work.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:08:57.822286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3926a990-920f-41bc-91c1-fcda019f91bd · outbound

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

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:56.713803Z

Source-reported events for the cited work

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Observation 7e23d1bb-d8a5-431c-881c-0952b41b01e1 · outbound

This paper cites an unresolved cited work.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:56.717922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b2e651f-988d-4485-b9d1-b048739ab88b · outbound

This paper cites Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:56.721917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06055c03-1ca4-4c4b-acf6-91ef81907a33 · outbound

This paper cites an unresolved cited work.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:56.726366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c5ce716-0b9e-4e6d-a9ba-75bc9456c04e · outbound

This paper cites an unresolved cited work.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:08:57.784676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fb1562da-c785-4105-9329-f3f2b0623316 · outbound

This paper cites an unresolved cited work.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:08:57.766504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0b2bd1b1-6df3-413d-a873-b1808da60bbd · outbound

This paper cites an unresolved cited work.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:08:57.749022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 58d45108-64b3-4cce-8227-6193b3d3e271 · outbound

This paper cites Efron and R.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Efron and R

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:57.736085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 28faa723-bfc5-4951-84b7-726389ab41d3 · outbound

This paper cites Gheshlaghi Azar, Z.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Gheshlaghi Azar, Z

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:57.722260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 766d6ed0-76c0-4859-aade-e7ab2841a7e4 · outbound

This paper cites The Llama 3 Herd of Models.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models The Llama 3 Herd of Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:56.751323Z

Source-reported events for the cited work

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Observation bdbb9e00-543d-4ec9-ac7b-2017fbd23f8e · outbound

This paper cites an unresolved cited work.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:56.755215Z

Source-reported events for the cited work

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Observation 2a0676ce-b45c-4989-bd44-a8b01b82fddc · outbound

This paper cites Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:56.759061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc99bbc1-4db5-44f1-8a80-f7d11356335a · outbound

This paper cites an unresolved cited work.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:08:57.701031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8cd5aaee-f7ae-4d6e-943e-4f70dbc71bb2 · outbound

This paper cites an unresolved cited work.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:08:57.686860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f27c4b67-d78f-46d7-aca5-8187db0c70a6 · outbound

This paper cites Aligning Language Models with Offline Learning from Human Feedback.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Aligning Language Models with Offline Learning from Human Feedback

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:56.773942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 580db4c9-4cb3-4d74-831b-9c2edd48f800 · outbound

This paper cites Huang, A.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Huang, A

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:57.673694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ac85fcf5-3744-4e26-89a1-59bb0f23865e · outbound

This paper cites Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:56.784337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cad7586f-a052-4093-af39-af5e3c51c5ac · outbound

This paper cites an unresolved cited work.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:08:57.659469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 00a2dd24-dc43-498f-84ca-0a124e823fa5 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Adam: A Method for Stochastic Optimization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:56.793145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f76ffc1-0cc8-4b63-bcff-535e3fd580ac · outbound

This paper cites an unresolved cited work.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Unresolved cited work

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f839d209-68a9-4d12-bd70-3086b445ef82 · outbound

This paper cites an unresolved cited work.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:08:57.646083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8dae53ae-623d-4beb-8510-8949d7117130 · outbound

This paper cites an unresolved cited work.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Unresolved cited work

Reference 26

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Source-reported events for the cited work

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Observation 73a526ea-6440-4f5c-9389-5392865a2fa3 · outbound

This paper cites Textbooks Are All You Need II: phi-1.5 technical report.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Textbooks Are All You Need II: phi-1.5 technical report

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:56.811426Z

Source-reported events for the cited work

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Observation 9219ab43-7c5e-4305-969b-4431df926d3b · outbound

This paper cites C-MORL: Multi-Objective Reinforcement Learning through Efficient Discovery of Pareto Front.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models C-MORL: Multi-Objective Reinforcement Learning through Efficient Discovery of Pareto Front

Reference 28

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Source-reported events for the cited work

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Observation 8f537bb4-cba6-4aae-aa08-89f635c58bf8 · outbound

This paper cites Pack of LLMs: Model Fusion at Test-Time via Perplexity Optimization.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Pack of LLMs: Model Fusion at Test-Time via Perplexity Optimization

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:56.821866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b424fa6-521f-40bd-8ebd-71fd51511d39 · outbound

This paper cites Miettinen.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Miettinen

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3dd2f31-c10e-454a-80d8-943543c47e6b · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Playing Atari with Deep Reinforcement Learning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:56.831351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5bbc9b6-96cf-43ae-bbab-10479171ff50 · outbound

This paper cites Multi-Objective Alignment of Large Language Models Through Hypervolume Maximization.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Multi-Objective Alignment of Large Language Models Through Hypervolume Maximization

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:56.835885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a02459c-9a13-4c0b-bd04-d4fe2ce87cc6 · outbound

This paper cites Nash Learning from Human Feedback.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Nash Learning from Human Feedback

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:56.842003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fac20a13-0c40-406d-a9b7-4a1e03449bed · outbound

This paper cites Nesterov.Lectures on Convex Optimization.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Nesterov.Lectures on Convex Optimization

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:57.623299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c2e6e737-dd3e-4f36-8a1f-4b68a7768097 · outbound

This paper cites Ouyang, J.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Ouyang, J

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:56.850761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 105e4be2-4440-4070-a3b7-8e5af5cf5807 · outbound

This paper cites an unresolved cited work.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:08:57.600262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f6a8772d-65a1-4d8c-b3b7-20b6c374bccb · outbound

This paper cites Instruction Tuning with GPT-4.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Instruction Tuning with GPT-4

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3967cbdb-e400-4cc1-ba9c-428c0dc91d7f · outbound

This paper cites Rafailov, A.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Rafailov, A

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:57.585329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2291ff78-929f-4d2e-8784-b2e19075bac4 · outbound

This paper cites an unresolved cited work.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:08:57.572840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6be56b49-96bb-4a5f-8214-c123907126df · outbound

This paper cites an unresolved cited work.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:08:57.558779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e5cda545-9fa3-4340-b923-cc82302bcf30 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Proximal Policy Optimization Algorithms

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:56.881623Z

Source-reported events for the cited work

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Observation afd30265-c73c-4dce-989c-88dd644cec04 · outbound

This paper cites an unresolved cited work.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:08:57.546219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 51222244-0ed7-4f36-8d8c-ce489914eb3b · outbound

This paper cites Stiennon, L.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Stiennon, L

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:56.893071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2a6a508-17ed-428c-8f7d-aed6243c3c26 · outbound

This paper cites Gemma 3 Technical Report.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Gemma 3 Technical Report

Reference 44

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94072b2a-6de9-48cb-b716-30cbd0683cb7 · outbound

This paper cites Van Moffaert and A.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Van Moffaert and A

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:57.524477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6b764e25-b99b-4bd2-8694-1900509d9bc4 · outbound

This paper cites von Werra, Y.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models von Werra, Y

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:57.511798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 042a9d0a-0f3c-4566-a3e3-91228f7fd0a9 · outbound

This paper cites von Werra, Y.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models von Werra, Y

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:57.499491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 31b027a1-7302-4f0f-9d53-6502de4fb9bd · outbound

This paper cites an unresolved cited work.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:08:57.488356Z

Source-reported events for the cited work

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Observation 3aee28d5-a3a3-47f9-bc4f-ad5443d8e10b · outbound

This paper cites an unresolved cited work.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:08:57.475939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 63933835-d9dd-44a5-b42f-57788a1a3070 · outbound

This paper cites Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:56.923655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4da37b9-4d56-488c-8df6-daeba4423801 · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:56.928698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35c71cd1-2d5f-4f56-8bd6-3f102cdcf0ec · outbound

This paper cites Wortsman, G.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Wortsman, G

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:57.463254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4a7fa947-b0db-4897-8338-4ba6e0f838a1 · outbound

This paper cites an unresolved cited work.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Unresolved cited work

Reference 53

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33380517-f687-4950-98ab-c8daa1119659 · outbound

This paper cites an unresolved cited work.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:08:57.443958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8a0f6e7d-2ea4-48ed-8701-b3a5af2080f3 · outbound

This paper cites RRHF: Rank Responses to Align Language Models with Human Feedback without tears.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models RRHF: Rank Responses to Align Language Models with Human Feedback without tears

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:56.946275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9974e1cf-4a27-4df4-9986-444f91439db5 · outbound

This paper cites LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:56.950817Z

Source-reported events for the cited work

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Observation da7eb7c4-a63a-408c-972c-234aaa23fa80 · outbound

This paper cites Zhang, S.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Zhang, S

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:57.432643Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f60cd730-7c06-47ff-ba87-002bce33f06b · outbound

This paper cites Zhong, C.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Zhong, C

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:57.419888Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5c9d276b-a7b8-433e-ae9b-1d89198140ca · outbound

This paper cites Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:56.964024Z

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Observation a712e480-ee0c-4e85-a4b2-1c3ea06ad12f · outbound

This paper cites Fine-Tuning Language Models from Human Preferences.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models Fine-Tuning Language Models from Human Preferences

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:56.968309Z

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Observation faa9016d-dcc0-421d-a4e5-f2b6e5e7d29c · outbound

This paper cites KX i=1 wiRi(y) # =p +q +r +s. (18) While by the selection ofk, we have E y∼πA,w.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models KX i=1 wiRi(y) # =p +q +r +s. (18) While by the selection ofk, we have E y∼πA,w

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:57.407048Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d1343081-3ca8-4c45-8cf3-e47cb7e7f967 · outbound

This paper cites reverse_kld.

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models reverse_kld

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:57.394592Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation 2d5844c4-8adb-4f7a-8a6c-5936bd1060f1 · inbound

MGDA-Decoupled: Geometry-Aware Multi-Objective Optimisation for DPO-based LLM Alignment cites this paper.

MGDA-Decoupled: Geometry-Aware Multi-Objective Optimisation for DPO-based LLM Alignment Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-06-08T02:03:42.868631Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation eccd3dea-1ffc-4b32-947f-b1be0bdb3176 · inbound

Multi-Objective Exploration and Preference Optimization via Mutual Information cites this paper.

Multi-Objective Exploration and Preference Optimization via Mutual Information Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models

Reference 101

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T21:18:57.948481Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ff0edeb1-b97d-4968-97f2-3708657bd0e7 · inbound

Multi-Objective Exploration and Preference Optimization via Mutual Information cites this paper.

Multi-Objective Exploration and Preference Optimization via Mutual Information Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-12T08:52:34.039089Z

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