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Paper Citation Record · LEDGER

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

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.

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 2026-08-15T06:32:42.880941+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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:02:14.379114Z digest=sha256:fbfbfd6bc1413bccab0f1e0bae42351d868d0f9d775a0be0598f3b05ee984536

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

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

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source=arxiv_source observed=2026-08-12T19:02:14.384748Z digest=sha256:f60bb090719ce65505940ce869320d324fe78fa6d774696a1460acae6eabf9e9

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:02:14.388880Z digest=sha256:d5342acad8686008fddbbfd997fc01fbc82332dc08502538bf1665b2d4756118

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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no resolver link, observed 2026-08-12T19:02:14.393143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:02:14.393143Z digest=sha256:5a2d098d79503226a014fc504b1732058f7d882b0557ca4d08bd32a123b13826

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:02:14.396974Z digest=sha256:c48c6c4088a2ee677d47dbbd6b99d8f6bd4e0557811c0679a2104fa9942adde9

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:02:14.400673Z digest=sha256:8d1c0da519491eb8dd918d5d80dc756af141fd066da1031d62a6fd8ef434f402

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:02:14.404302Z digest=sha256:6d122b0f3e20d6bd41ad88d2545ec83f26c97b61d67992f3c99fb4f9712b4f36

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:02:14.407905Z digest=sha256:bf20b9f8adea1a99588e3ba1fdb1be3394d1d0c9b0c687411e9197a75b4b8210

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:02:14.415105Z digest=sha256:c8e5caf205a924c3746d83713da770be2d5273a5d62a67e8e2ee6e0786ccb35f

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:02:14.418545Z digest=sha256:2f6a4a8f3a5d6d192797cd937987ccd2b674d518ac177b6434c1845b8e9231a0

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

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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 2026-08-15T06:32:42.880941+00:00.

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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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:02:14.425898Z digest=sha256:4e15229ef6b111cdc837c6b94f90d73d061bae79091629b2dfac15e1123d5310

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

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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 2026-08-15T06:32:42.880941+00:00.

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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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:02:14.433162Z digest=sha256:7256743e002ab7a55f85efe51de837208aa75dfb7ef12897c807b56532bf5ca8

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:02:14.436821Z digest=sha256:57f3b24786a453a918e8ed6dcf7dd656fb63525991ba6379fc7e896dc63e4398

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

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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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T19:02:14.440351Z digest=sha256:f56dae2c306a9e872587f76be0eae60fa04c775bcf1c8a9eda885c187ccf82b2

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

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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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T19:02:14.443680Z digest=sha256:1b01d5038fb625bddcdb075dbf6730926d195e4e166e122e02a7aa89bc67add5

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.

source=arxiv_source observed=2026-08-12T19:02:14.447099Z digest=sha256:c95eb5c3fddaf91f08dabbc4a0883ff9396eb4cfc5dfd57fa74b16b1f4f1c507

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:02:14.450425Z digest=sha256:5c8d418c45e18fbf8b35fd6fbf09ed7eb76e130b100cca568ef65eecf3e8def8

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

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T19:02:14.454326Z digest=sha256:e6f8d98521f34b15049d66485fe295a86f5f66797ced706ad6881b53ac9e221c

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:02:14.458097Z digest=sha256:004b9fb0496e70125095cf07b1939451afa689d1f82c521b6108f2847f10ff56

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

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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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T19:02:14.461350Z digest=sha256:be98aaf8f64a1b5645e60b648759d24f02aa44291b5d4d0e24675b0b8d9bea40

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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no resolver link, observed 2026-08-12T19:02:14.465192Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:02:14.465192Z digest=sha256:8d0233c6d10cbf53197f39e4b6f17c2ce02d9f4d7aaea73cc8f9b1edb76bc578

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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raw_fallback, observed 2026-08-12T19:02:15.342077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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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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Unavailable: canonical work link unavailable.

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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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no resolver link, observed 2026-08-12T19:02:14.475654Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:02:14.475654Z digest=sha256:39bc1a9f2fbd9feecf973b94ce82c44fb2f61e0f02448f37f17b9bd4af357f92

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3e1d3e9b-6a7a-40e3-bcba-d022ea106e1b · 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 29

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unresolved
raw_fallback, observed 2026-08-12T19:02:15.331904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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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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raw_fallback, observed 2026-08-12T19:02:15.322458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f958e4af-2c7f-4e52-907d-1360e8d8e4fa · 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 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e6970cd7-368c-489b-8213-2551ecae3584 · 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 32

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unresolved
raw_fallback, observed 2026-08-12T19:02:15.306538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-12T19:02:14.492533Z digest=sha256:c2a5f9fab28cb056dfe7e11f1998f3c167514ae76a024b737acd0d9bc30913cb

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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no resolver link, observed 2026-08-12T19:02:14.496015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ae4609d2-e25f-4a38-97d1-7ad158186d8b · 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 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:02:14.499551Z digest=sha256:dc61e44c9e3775e685d604983ce95e96eccee5a30b65ecd70212b5072ccfc6a2

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

This paper cites Beyond Accuracy: Behavioral Testing of NLP models with CheckList.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation cb5bc117-0567-44c7-bbd4-238b701f0775 · 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 36

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no resolver link, observed 2026-08-12T19:02:14.506927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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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no resolver link, observed 2026-08-12T19:02:14.510215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:02:14.510215Z digest=sha256:37ab339344c106635a93aa74942708b57c636b28a9752280e66352fd4a57e130

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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no resolver link, observed 2026-08-12T19:02:14.513692Z

Source-reported events for the 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 40

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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 41

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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 42

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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 43

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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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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

Reference 45

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

Reference 49

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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 50

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Observation bd027e90-2cb8-45b1-980d-221855713a40 · 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 51

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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 52

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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 53

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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

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