Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:24:54.548943Z
Paper Citation Record · LEDGER
As of 17 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 2 inbound Pith citation observations for arXiv:2504.12911.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:24:54.548943Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:40:14.097900Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T17:38:20.339659Z
48 of 48 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 3a18dbe2-1b6b-459b-ab41-a8b04e9f53ff · outbound
Benchmarking Multi-National Value Alignment for Large Language Models believe",
Reference 1
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Benchmarking Multi-National Value Alignment for Large Language Models Unresolved cited work
Reference 2
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Benchmarking Multi-National Value Alignment for Large Language Models Unknown
Reference 3
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Benchmarking Multi-National Value Alignment for Large Language Models Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 26
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Benchmarking Multi-National Value Alignment for Large Language Models GPT-4 Technical Report
Reference 41
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Reference 42
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Reference 43
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Reference 44
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Reference 45
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Benchmarking Multi-National Value Alignment for Large Language Models Unresolved cited work
Reference 46
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Benchmarking Multi-National Value Alignment for Large Language Models Unresolved cited work
Reference 47
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Benchmarking Multi-National Value Alignment for Large Language Models Unresolved cited work
Reference 48
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Benchmarking Multi-National Value Alignment for Large Language Models Unresolved cited work
Reference 49
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Observation c58c5f80-7970-4452-a65f-b1b4f9111ff3 · outbound
Benchmarking Multi-National Value Alignment for Large Language Models A Survey on In-context Learning
Reference 50
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Benchmarking Multi-National Value Alignment for Large Language Models Unresolved cited work
Reference 51
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Benchmarking Multi-National Value Alignment for Large Language Models Unresolved cited work
Reference 52
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Benchmarking Multi-National Value Alignment for Large Language Models RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models
Reference 53
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Benchmarking Multi-National Value Alignment for Large Language Models Unresolved cited work
Reference 54
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Benchmarking Multi-National Value Alignment for Large Language Models The political ideology of conversational AI: Converging evidence on ChatGPT's pro-environmental, left-libertarian orientation
Reference 55
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Benchmarking Multi-National Value Alignment for Large Language Models LoRA: Low-Rank Adaptation of Large Language Models
Reference 56
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Benchmarking Multi-National Value Alignment for Large Language Models Unresolved cited work
Reference 57
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Reference 58
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Reference 59
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Benchmarking Multi-National Value Alignment for Large Language Models Unresolved cited work
Reference 60
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Reference 61
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Benchmarking Multi-National Value Alignment for Large Language Models Unresolved cited work
Reference 62
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Benchmarking Multi-National Value Alignment for Large Language Models Unresolved cited work
Reference 63
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Benchmarking Multi-National Value Alignment for Large Language Models Unresolved cited work
Reference 64
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Benchmarking Multi-National Value Alignment for Large Language Models Unresolved cited work
Reference 65
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Benchmarking Multi-National Value Alignment for Large Language Models Unresolved cited work
Reference 66
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Benchmarking Multi-National Value Alignment for Large Language Models Unresolved cited work
Reference 67
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Reference 68
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Reference 69
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Benchmarking Multi-National Value Alignment for Large Language Models Hidden Persuaders: LLMs' Political Leaning and Their Influence on Voters
Reference 70
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Benchmarking Multi-National Value Alignment for Large Language Models Unresolved cited work
Reference 71
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Benchmarking Multi-National Value Alignment for Large Language Models Assessing Political Bias in Large Language Models
Reference 73
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Reference 74
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Reference 75
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Reference 76
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Benchmarking Multi-National Value Alignment for Large Language Models Systematic Evaluation of LLM-as-a-Judge in LLM Alignment Tasks: Explainable Metrics and Diverse Prompt Templates
Reference 77
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Benchmarking Multi-National Value Alignment for Large Language Models Unresolved cited work
Reference 78
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Reference 79
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Reference 80
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Benchmarking Multi-National Value Alignment for Large Language Models Journal of machine Learning research, 3(Jan):993–1022
Reference 2003
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Reference 2017
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Benchmarking Multi-National Value Alignment for Large Language Models UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Reference 2018
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Reference 2023
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Fine-Grained Interpretation of Political Opinions in Large Language Models Benchmarking Multi-National Value Alignment for Large Language Models
Reference 22
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Reference 66
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