Paper Citation Record · LEDGER

The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection

As of 23 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.

pith.paper-citation-record.v1
2411.11081 v2

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:02:14.566728Z

measured 53 of 53 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T18:47:07.102184Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T23:09:14.452724Z

Reference resolution

51 of 51 outbound references displayed

verified exact5
verified fuzzy1
unresolved45
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 90512ad2-26a4-48e1-9520-7f90beaf3e1e · outbound

This paper cites URL: " 'urlintro :=.

The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection URL: " 'urlintro :=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T19:02:14.379114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4401bf6f-f379-42e0-9ad0-6e7410e62a05 · outbound

This paper cites write newline.

The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T19:02:14.384748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1852b70e-00fa-4d4d-9f64-2750f3099dd0 · outbound

This paper cites Open-Source LLMs for Text Annotation: A Practical Guide for Model Setting and Fine-Tuning.

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

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T19:02:14.388880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b52e8fbc-d197-4031-bc47-f44ad85de645 · outbound

This paper cites an unresolved cited work.

The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45833e42-ae0d-4ac3-bf64-3bf925b45fcf · outbound

This paper cites an unresolved cited work.

The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T19:02:14.396974Z

Source-reported events for the cited work

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Observation 38656307-bde1-4107-80aa-b22d20c6b818 · outbound

This paper cites an unresolved cited work.

The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T19:02:14.400673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6a94ea8-bdf3-4298-b0ea-eb7537651689 · outbound

This paper cites an unresolved cited work.

The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T19:02:14.404302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e1900a1-8494-4778-bb57-8d04bc61a9fa · outbound

This paper cites an unresolved cited work.

The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T19:02:14.407905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 813222cd-5a8d-468b-a327-720b3107e87c · outbound

This paper cites an unresolved cited work.

The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T19:02:14.415105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c002ee51-a973-4398-b098-2530a27ab468 · outbound

This paper cites Scaling Instruction-Finetuned Language Models.

The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Scaling Instruction-Finetuned Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T19:02:14.418545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d60f7ad6-63c6-4c1c-9817-ca889f11cb1e · outbound

This paper cites an unresolved cited work.

The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work

Reference 12

Resolution: verified exact; doi, observed 2026-08-12T19:02:14.715060Z

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 af8f068f-e53c-4f5b-90d3-9ff0091cb1d2 · outbound

This paper cites an unresolved cited work.

The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T19:02:14.425898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7829acae-2fcd-4785-8aef-3efd47d8fbf6 · outbound

This paper cites an unresolved cited work.

The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-12T19:02:15.376383Z

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 33f182f2-ecdd-4ce6-bc7d-284bec40bff1 · outbound

This paper cites Time Travel in LLMs: Tracing Data Contamination in Large Language Models.

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

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T19:02:14.433162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de375b81-d883-4cac-9312-038b23ae22e5 · outbound

This paper cites an unresolved cited work.

The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T19:02:14.436821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4239b1d-91c2-40e7-83d7-0c599f446d19 · outbound

This paper cites an unresolved cited work.

The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-12T19:02:15.366586Z

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 d630f076-de9d-4a6f-8403-1421e639fd76 · outbound

This paper cites Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:02:15.356786Z

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 7a79d6b3-a380-47bf-a409-75973f513120 · outbound

This paper cites an unresolved cited work.

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9c3e172-dd25-4532-b0d9-75e5088d474e · outbound

This paper cites Mistral 7B.

The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Mistral 7B

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T19:02:14.450425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a00462c-086e-4ab4-b425-b009836a792e · outbound

This paper cites Analyzing Dataset Annotation Quality Management in the Wild.

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

Resolution: verified exact; local_arxiv, observed 2026-08-12T19:02:14.679813Z

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 29ba4f80-016e-4ee3-9e1b-23f0b0cd6859 · outbound

This paper cites an unresolved cited work.

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bb1778b-3c87-4ead-829d-300ae2f0854c · outbound

This paper cites Sentence-level Media Bias Analysis with Event Relation Graph.

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

Resolution: verified exact; local_arxiv, observed 2026-08-12T19:02:14.664370Z

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 84fa2228-f642-46f6-9415-ec007baa86e0 · outbound

This paper cites an unresolved cited work.

The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3dda0ca-ed1b-4564-a7b3-9a8e519e5d08 · outbound

This paper cites an unresolved cited work.

The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work

Reference 25

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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 d88dfd8d-fff6-4e2c-a0a4-35cb9ebd8555 · outbound

This paper cites an unresolved cited work.

The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 930712c5-4462-4568-a01b-6e539fda2a6e · outbound

This paper cites an unresolved cited work.

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec7105c0-68e2-4974-aac6-230e7e6671fd · outbound

This paper cites Marshall, Partha S.R.

The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Marshall, Partha S.R

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T19:02:14.478994Z

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Observation 3e1d3e9b-6a7a-40e3-bcba-d022ea106e1b · outbound

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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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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 19fd9942-2956-4478-a85b-b055752c3de9 · outbound

This paper cites an unresolved cited work.

The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work

Reference 30

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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 f958e4af-2c7f-4e52-907d-1360e8d8e4fa · outbound

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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 31

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Observation e6970cd7-368c-489b-8213-2551ecae3584 · outbound

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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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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 dea65e98-56d7-4358-aa4f-62a5f81fa61c · outbound

This paper cites GPT-4 Technical Report.

The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection GPT-4 Technical Report

Reference 33

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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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Unavailable: canonical work link unavailable.

Observation 2aac01c0-4322-45bb-8127-41ef71993d90 · outbound

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The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Beyond Accuracy: Behavioral Testing of NLP models with CheckList

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T19:02:14.503149Z

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Unavailable: canonical work link unavailable.

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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 36

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Unavailable: canonical work link unavailable.

Observation 5fc88778-2a82-4895-bb55-7a0c61783341 · outbound

This paper cites an unresolved cited work.

The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 308b4f50-541b-4fb1-83b0-ff0af830a944 · outbound

This paper cites The Media Bias Taxonomy: A Systematic Literature Review on the Forms and Automated Detection of Media Bias.

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

Reference 38

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Observation d2defc14-1ea6-468d-aa0a-86228e86f661 · outbound

This paper cites an unresolved cited work.

The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work

Reference 40

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Unavailable: canonical work link unavailable.

Observation c1385aee-0ca4-469d-8fa5-ee53332b490a · outbound

This paper cites an unresolved cited work.

The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work

Reference 41

Resolution: verified exact; doi, observed 2026-08-12T19:02:14.627075Z

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 1ca2e0c7-8cd3-4c47-a21c-69bcff980404 · outbound

This paper cites an unresolved cited work.

The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work

Reference 42

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Observation 4924e471-41a9-4a89-9325-31f73ce02d2e · outbound

This paper cites an unresolved cited work.

The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work

Reference 43

Resolution: verified exact; doi, observed 2026-08-12T19:02:14.608953Z

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 9a111f4b-6263-4bdf-bc42-cde37f7f937e · outbound

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The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Large Language Models for Data Annotation and Synthesis: A Survey

Reference 44

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Observation 70da9379-aecf-4ac8-9e21-9629d663b7bf · outbound

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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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15783e7f-09f1-462d-928e-5fa824387fe3 · outbound

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The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 46

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Observation 08b83aaa-d926-444b-af03-e85fbe2c86a8 · outbound

This paper cites Zephyr: Direct Distillation of LM Alignment.

The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Zephyr: Direct Distillation of LM Alignment

Reference 47

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Source-reported events for the cited work

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Observation c00241f2-807d-420e-85ae-4c36921f2cc0 · outbound

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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

Reference 48

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ac03f90-e25f-48ed-9c7f-8f80cfb25d93 · outbound

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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 4c418327-a6e1-47fc-ac26-97e324b48f89 · outbound

This paper cites an unresolved cited work.

The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work

Reference 50

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Source-reported events for the cited work

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Observation bd027e90-2cb8-45b1-980d-221855713a40 · outbound

This paper cites an unresolved cited work.

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 1a018aea-4643-4d4f-9f65-9efb037b5cb8 · outbound

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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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Resolution: unresolved; raw_fallback, observed 2026-08-12T19:02:15.274739Z

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 c238d3b3-aca3-4cf0-a75a-bf4631656138 · outbound

This paper cites an unresolved cited work.

The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection Unresolved cited work

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 1df8bac3-7cfb-4be6-852d-24257bd48bd2 · inbound

Are Large Language Models the future crowd workers of Linguistics? cites this paper.

Are Large Language Models the future crowd workers of Linguistics? The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection

Reference 5

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Observation a5133762-0725-4d1b-8413-116d23ae1ef8 · inbound

Prosocial Behavior Detection in Player Game Chat: From Aligning Human-AI Definitions to Efficient Annotation at Scale cites this paper.

Prosocial Behavior Detection in Player Game Chat: From Aligning Human-AI Definitions to Efficient Annotation at Scale The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-05T23:09:14.516362Z

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.