Paper Citation Record · LEDGER

Multi-Objective Alignment of Large Language Models Through Hypervolume Maximization

As of 14 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 7 inbound Pith citation observations for arXiv:2412.05469.

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

pith.paper-citation-record.v1
2412.05469 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:46:32.600165Z

measured 20 of 20 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:52:12.232568Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:57:23.581554Z

Reference resolution

13 of 13 outbound references displayed

verified exact0
verified fuzzy3
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 056e4462-6d13-4876-9bc9-2f0a03063aab · outbound

This paper cites ↑ ↑ I don’t think I can give you medical advice, but I’d be very concerned if I could.

Multi-Objective Alignment of Large Language Models Through Hypervolume Maximization ↑ ↑ I don’t think I can give you medical advice, but I’d be very concerned if I could

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:46:32.847831Z

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 27343b6e-2073-4e44-9260-24670dec049b · outbound

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

Multi-Objective Alignment of Large Language Models Through Hypervolume Maximization LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T20:46:32.581317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aea22ac9-9402-4a68-b057-232c4e5abc75 · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

Multi-Objective Alignment of Large Language Models Through Hypervolume Maximization OPT: Open Pre-trained Transformer Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T20:46:32.585042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cf73a30-e9a1-4fb4-a895-659dc4408b7d · outbound

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

Multi-Objective Alignment of Large Language Models Through Hypervolume Maximization Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T20:46:32.592788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86cb99d9-12ee-4a44-b08e-bef89bcc8f04 · outbound

This paper cites and” and “or.

Multi-Objective Alignment of Large Language Models Through Hypervolume Maximization and” and “or

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:46:32.862595Z

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 251c20e6-5b2f-470e-9f9e-fcdb67aaa50f · outbound

This paper cites MOGA: Multi- objective genetic algorithms.

Multi-Objective Alignment of Large Language Models Through Hypervolume Maximization MOGA: Multi- objective genetic algorithms

Reference 2008

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:46:32.878286Z

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 4b0cf714-9fde-4ac7-9fec-3c4f8a9abc01 · outbound

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

Multi-Objective Alignment of Large Language Models Through Hypervolume Maximization HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 2011

Resolution: unresolved; no resolver link, observed 2026-08-11T20:46:32.568099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c16e8944-6c19-4c97-a2b0-7504a5014014 · outbound

This paper cites Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment.

Multi-Objective Alignment of Large Language Models Through Hypervolume Maximization Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-11T20:46:32.576906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b83d14f7-eb25-4f60-bee3-f00043959cf5 · outbound

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

Multi-Objective Alignment of Large Language Models Through Hypervolume Maximization Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-11T20:46:32.528803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01ff4689-f951-4d6c-a53e-b449b1a46076 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Multi-Objective Alignment of Large Language Models Through Hypervolume Maximization LLaMA: Open and Efficient Foundation Language Models

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-11T20:46:32.560678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39563c75-0fb1-4c14-9757-808f16311af6 · outbound

This paper cites Deal: Decoding-time alignment for large language models.

Multi-Objective Alignment of Large Language Models Through Hypervolume Maximization Deal: Decoding-time alignment for large language models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-11T20:46:32.533719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba1900c3-0466-4d0a-bbf7-3640d7f3883a · outbound

This paper cites The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only.

Multi-Objective Alignment of Large Language Models Through Hypervolume Maximization The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-11T20:46:32.548657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f52a62f-f5de-4522-aa59-1cef2abe513d · outbound

This paper cites Proximal Policy Optimization Algorithms.

Multi-Objective Alignment of Large Language Models Through Hypervolume Maximization Proximal Policy Optimization Algorithms

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-11T20:46:32.554252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation b7c2d261-e94c-415a-8648-e404ec1cea48 · inbound

Multi-objective Large Language Model Alignment with Hierarchical Experts cites this paper.

Multi-objective Large Language Model Alignment with Hierarchical Experts Multi-Objective Alignment of Large Language Models Through Hypervolume Maximization

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:12.232568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4aab7911-1989-4d87-9051-75447098113c · inbound

AMoPO: Adaptive Multi-objective Preference Optimization without Reward Models and Reference Models cites this paper.

AMoPO: Adaptive Multi-objective Preference Optimization without Reward Models and Reference Models Multi-Objective Alignment of Large Language Models Through Hypervolume Maximization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T05:48:04.350188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 516af83b-db6c-4908-a8f3-e001909e2089 · inbound

Gradient-Adaptive Policy Optimization: Towards Multi-Objective Alignment of Large Language Models cites this paper.

Gradient-Adaptive Policy Optimization: Towards Multi-Objective Alignment of Large Language Models Multi-Objective Alignment of Large Language Models Through Hypervolume Maximization

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T20:49:52.515977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3336eb1-e421-42f4-aa9b-a6bf3e6b0f1e · inbound

Efficiency vs. Alignment: Investigating Safety and Fairness Risks in Parameter-Efficient Fine-Tuning of LLMs cites this paper.

Efficiency vs. Alignment: Investigating Safety and Fairness Risks in Parameter-Efficient Fine-Tuning of LLMs Multi-Objective Alignment of Large Language Models Through Hypervolume Maximization

Reference 112

Resolution: unresolved; no resolver link, observed 2026-08-04T06:54:13.732284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e02f0c7-4368-4c67-8394-157b4b4c5447 · inbound

MOCHA: Multi-Objective Chebyshev Annealing for Agent Skill Optimization cites this paper.

MOCHA: Multi-Objective Chebyshev Annealing for Agent Skill Optimization Multi-Objective Alignment of Large Language Models Through Hypervolume Maximization

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-20T06:13:05.296729Z

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 bacf9c67-e3ca-4267-bd2b-ec9f1fc8ad7f · inbound

Focal Reward: Balanced Reinforcement Learning under Rubric-Based Rewards cites this paper.

Focal Reward: Balanced Reinforcement Learning under Rubric-Based Rewards Multi-Objective Alignment of Large Language Models Through Hypervolume Maximization

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-06-29T20:03:56.206668Z

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 efb04f77-a17a-4bbe-bc8c-4fce07693029 · inbound

PAFO: Pareto Fairness Optimization for Personalized Reward Modeling cites this paper.

PAFO: Pareto Fairness Optimization for Personalized Reward Modeling Multi-Objective Alignment of Large Language Models Through Hypervolume Maximization

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-07-02T20:57:23.583144Z

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.