Paper Citation Record · LEDGER

Are Large Language Models the future crowd workers of Linguistics?

As of 13 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2502.10266.

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

pith.paper-citation-record.v1
2502.10266 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T18:47:07.133196Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

13 of 13 outbound references displayed

verified exact3
verified fuzzy0
unresolved8
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b8bfb784-2b8c-49f1-b4c8-208003715bf7 · outbound

This paper cites Design and evaluation of crowdsourcing platforms based on users’ confidence judgments.

Are Large Language Models the future crowd workers of Linguistics? Design and evaluation of crowdsourcing platforms based on users’ confidence judgments

Reference 1

Resolution: malformed identifier; no resolver link, observed 2026-08-07T18:47:07.084948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8b746e2-6b15-4844-b1a1-2b813d5f469f · outbound

This paper cites The challenge of using LLMs to simulate human behavior: A causal inference perspective.

Are Large Language Models the future crowd workers of Linguistics? The challenge of using LLMs to simulate human behavior: A causal inference perspective

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T18:47:07.093921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04192d8f-6975-4641-ab55-890679b3b63f · outbound

This paper cites On the role of large language models in crowdsourcing misinformation assessment.

Are Large Language Models the future crowd workers of Linguistics? On the role of large language models in crowdsourcing misinformation assessment

Reference 3

Resolution: verified exact; doi, observed 2026-08-07T18:47:07.171802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e0519ee4-f30a-4aa0-8d49-322c335e1070 · outbound

This paper cites AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators.

Are Large Language Models the future crowd workers of Linguistics? AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T18:47:07.097975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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

Resolution: unresolved; no resolver link, observed 2026-08-07T18:47:07.102184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 111734b8-9cad-48ca-a4e7-94b807c1066c · outbound

This paper cites ChatGPT vs.

Are Large Language Models the future crowd workers of Linguistics? ChatGPT vs

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T18:47:07.118268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf7a26aa-8ce5-4bb1-ae21-95903756f74b · outbound

This paper cites Crowdsourc- ing lexical diversity.

Are Large Language Models the future crowd workers of Linguistics? Crowdsourc- ing lexical diversity

Reference 7

Resolution: verified exact; raw_fallback, observed 2026-08-07T18:47:07.583374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 64278b1a-3dce-4280-a938-eb667e882836 · outbound

This paper cites ChatGPT: Jack of all trades, master of none.

Are Large Language Models the future crowd workers of Linguistics? ChatGPT: Jack of all trades, master of none

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T18:47:07.114839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2298459-5aa5-45cc-a6d2-0587155b04be · outbound

This paper cites Direct and indirect annotation with generative AI: A case study into finding animals and plants in historical text.

Are Large Language Models the future crowd workers of Linguistics? Direct and indirect annotation with generative AI: A case study into finding animals and plants in historical text

Reference 10

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T18:47:07.373657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d89d0167-ab84-4944-822d-e4a461a9660d · outbound

This paper cites LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs.

Are Large Language Models the future crowd workers of Linguistics? LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T18:47:07.125085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b64532d1-aad2-43ea-9b5a-c21d8987fa30 · outbound

This paper cites doi:10.1017/pan.2023.2.

Are Large Language Models the future crowd workers of Linguistics? doi:10.1017/pan.2023.2

Reference 2023

Resolution: verified exact; raw_fallback, observed 2026-08-07T18:47:07.690514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1d51aa29-d65f-4b58-879f-aceb71a39baf · outbound

This paper cites Machine-assisted quantitizing designs: augmenting humanities and social sciences with artificial intelligence.

Are Large Language Models the future crowd workers of Linguistics? Machine-assisted quantitizing designs: augmenting humanities and social sciences with artificial intelligence

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T18:47:07.106548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92c0cf15-3300-4fe1-88c6-f4c439b63762 · outbound

This paper cites URL https://direct.mit.edu/coli/article/50/1/237/118498/ Can-Large-Language-Models-Transform-Computational.

Are Large Language Models the future crowd workers of Linguistics? URL https://direct.mit.edu/coli/article/50/1/237/118498/ Can-Large-Language-Models-Transform-Computational

Reference 9312

Resolution: unresolved; no resolver link, observed 2026-08-07T18:47:07.133196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.