Paper Citation Record · LEDGER

Multi-Objective Alignment of Large Language Models Through Hypervolume Maximization

As of 8 August 2026, this Paper Citation Record lists 0 of 0 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 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.