Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T19:02:14.566728Z
Paper Citation Record · LEDGER
As of 15 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 2 inbound Pith citation observations for arXiv:2411.11081.
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 2026-08-12T19:02:14.566728Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T18:47:07.102184Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T23:09:14.452724Z
51 of 51 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 90512ad2-26a4-48e1-9520-7f90beaf3e1e · outbound
The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection URL: " 'urlintro :=
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The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Open-Source LLMs for Text Annotation: A Practical Guide for Model Setting and Fine-Tuning
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The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work
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The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work
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The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work
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The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work
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Observation 33f182f2-ecdd-4ce6-bc7d-284bec40bff1 · outbound
The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Time Travel in LLMs: Tracing Data Contamination in Large Language Models
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The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work
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The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work
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The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation
Reference 18
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The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work
Reference 19
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The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Mistral 7B
Reference 20
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Observation 6a00462c-086e-4ab4-b425-b009836a792e · outbound
The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Analyzing Dataset Annotation Quality Management in the Wild
Reference 21
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The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work
Reference 22
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Observation 9bb1778b-3c87-4ead-829d-300ae2f0854c · outbound
The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Sentence-level Media Bias Analysis with Event Relation Graph
Reference 23
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The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work
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The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work
Reference 27
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Observation ec7105c0-68e2-4974-aac6-230e7e6671fd · outbound
The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Marshall, Partha S.R
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The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work
Reference 29
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The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work
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The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work
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The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work
Reference 32
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Observation dea65e98-56d7-4358-aa4f-62a5f81fa61c · outbound
The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection GPT-4 Technical Report
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The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work
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The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work
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The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work
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The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection The Media Bias Taxonomy: A Systematic Literature Review on the Forms and Automated Detection of Media Bias
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The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work
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The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work
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The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work
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The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work
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The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection ChatGPT-4 Outperforms Experts and Crowd Workers in Annotating Political Twitter Messages with Zero-Shot Learning
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The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Zephyr: Direct Distillation of LM Alignment
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The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection OpenChat: Advancing Open-source Language Models with Mixed-Quality Data
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The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work
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The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work
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The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work
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The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work
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