Paper Citation Record · LEDGER

Comparing LLM Text Annotation Skills: A Study on Human Rights Violations in Social Media Data

As of 21 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2505.10260.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.10260 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:15:05.010781Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

17 of 17 outbound references displayed

verified exact0
verified fuzzy5
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 986acacc-bf89-41cf-a8ca-4d91d0d4bbd7 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Comparing LLM Text Annotation Skills: A Study on Human Rights Violations in Social Media Data On the Opportunities and Risks of Foundation Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:04.931898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13547541-fe50-4225-b5aa-2161ddbcdcfa · outbound

This paper cites LLMs Accelerate Annotation for Medical Information Extraction.

Comparing LLM Text Annotation Skills: A Study on Human Rights Violations in Social Media Data LLMs Accelerate Annotation for Medical Information Extraction

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T21:15:05.209016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 67cfc1ec-2ea4-4dd3-acb2-3a43c5bc18a1 · outbound

This paper cites ALLURE: Auditing and Improving LLM-based Evaluation of Text using Iterative In-Context-Learning.

Comparing LLM Text Annotation Skills: A Study on Human Rights Violations in Social Media Data ALLURE: Auditing and Improving LLM-based Evaluation of Text using Iterative In-Context-Learning

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T21:15:05.187170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c95b9a0d-3071-4e1c-9755-7ed3b88b8a31 · outbound

This paper cites Mistral 7B.

Comparing LLM Text Annotation Skills: A Study on Human Rights Violations in Social Media Data Mistral 7B

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:04.958486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 993e2805-61fc-43b7-9ee7-e36d88466894 · outbound

This paper cites CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation.

Comparing LLM Text Annotation Skills: A Study on Human Rights Violations in Social Media Data CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:04.963184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72bd9dfa-c0e7-4a48-8091-1c853a6ecd38 · outbound

This paper cites Human Still Wins over LLM: An Empirical Study of Active Learning on Domain-Specific Annotation Tasks.

Comparing LLM Text Annotation Skills: A Study on Human Rights Violations in Social Media Data Human Still Wins over LLM: An Empirical Study of Active Learning on Domain-Specific Annotation Tasks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:04.968582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2129703f-d2b5-42c1-8c21-77cc7efe1ac0 · outbound

This paper cites Detecting Human Rights Violations on Social Media during Russia-Ukraine War.

Comparing LLM Text Annotation Skills: A Study on Human Rights Violations in Social Media Data Detecting Human Rights Violations on Social Media during Russia-Ukraine War

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T21:15:05.118316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 451b53a0-ad41-4aec-8c4b-79aca8478b71 · outbound

This paper cites Automated Annotation with Generative AI Requires Validation.

Comparing LLM Text Annotation Skills: A Study on Human Rights Violations in Social Media Data Automated Annotation with Generative AI Requires Validation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:04.978948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64fdd93c-3bcb-441d-86c7-ec62b9d46341 · outbound

This paper cites Communications of the ACM, 64(4): 76–84.

Comparing LLM Text Annotation Skills: A Study on Human Rights Violations in Social Media Data Communications of the ACM, 64(4): 76–84

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:15:05.355640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a69d12ed-5aaa-4a8f-8a5e-6657bb5bc3ee · outbound

This paper cites Wisdom of Instruction-Tuned Language Model Crowds. Exploring Model Label Variation.

Comparing LLM Text Annotation Skills: A Study on Human Rights Violations in Social Media Data Wisdom of Instruction-Tuned Language Model Crowds. Exploring Model Label Variation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:04.990543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e305822-305e-44e0-8701-15a13cae8b00 · outbound

This paper cites In Webber, B.; Cohn, T.; He, Y .; and Liu, Y ., eds.,Proceed- ings of the 2020 Conference on Empirical Methods in Nat- ural Language Processing (EMNLP) , 4222–4235.

Comparing LLM Text Annotation Skills: A Study on Human Rights Violations in Social Media Data In Webber, B.; Cohn, T.; He, Y .; and Liu, Y ., eds.,Proceed- ings of the 2020 Conference on Empirical Methods in Nat- ural Language Processing (EMNLP) , 4222–4235

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:15:05.339210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 820e8b32-9ede-4695-881d-66ab2cfe57e1 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Comparing LLM Text Annotation Skills: A Study on Human Rights Violations in Social Media Data LLaMA: Open and Efficient Foundation Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:05.006106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f88b318-5cf1-432a-9071-aad087484c4c · outbound

This paper cites ChatGPT-4 Outperforms Experts and Crowd Workers in Annotating Political Twitter Messages with Zero-Shot Learning.

Comparing LLM Text Annotation Skills: A Study on Human Rights Violations in Social Media Data ChatGPT-4 Outperforms Experts and Crowd Workers in Annotating Political Twitter Messages with Zero-Shot Learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:05.010781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ef892e0-ad3e-4359-895e-72b96e8d294e · outbound

This paper cites Advances in Neural Information Processing Systems, 33: 1877–1901.

Comparing LLM Text Annotation Skills: A Study on Human Rights Violations in Social Media Data Advances in Neural Information Processing Systems, 33: 1877–1901

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:15:05.372121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bb9cee7e-80ee-4a67-923e-840424c2e4c0 · outbound

This paper cites Bommasani, R.; Hudson, D.

Comparing LLM Text Annotation Skills: A Study on Human Rights Violations in Social Media Data Bommasani, R.; Hudson, D

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:15:05.388176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation db415e27-670e-4d0a-a6be-75da56e2b3b2 · outbound

This paper cites Human Annotators: A Comprehensive Analysis of ChatGPT for Text Annotation.

Comparing LLM Text Annotation Skills: A Study on Human Rights Violations in Social Media Data Human Annotators: A Comprehensive Analysis of ChatGPT for Text Annotation

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:15:05.403553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ee7008ae-f00e-489f-ae47-916d035145d1 · outbound

This paper cites arXiv preprint arXiv:2410.06415.

Comparing LLM Text Annotation Skills: A Study on Human Rights Violations in Social Media Data arXiv preprint arXiv:2410.06415

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-15T21:15:04.942399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.