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Paper Citation Record · LEDGER

Prevalence and prevention of large language model use in crowd work

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.15683.

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

pith.paper-citation-record.v1
2310.15683 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:52:27.096780Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

16
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation cc5e1fd4-4ff3-4806-9031-06bcb671dbf4 · inbound

Explanatory Debiasing: Involving Domain Experts in the Data Generation Process to Mitigate Representation Bias in AI Systems cites this paper.

Explanatory Debiasing: Involving Domain Experts in the Data Generation Process to Mitigate Representation Bias in AI Systems Prevalence and prevention of large language model use in crowd work

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-11T00:52:27.096780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:52:27.096780Z digest=sha256:c8458d0f5efb994cc71dfa8afe1de4f80b085498d9f57f30a589d50c7e117425

Observation 9593e0cc-9a3d-4230-964c-745d55e39895 · inbound

Redefining Research Crowdsourcing: Incorporating Human Feedback with LLM-Powered Digital Twins cites this paper.

Redefining Research Crowdsourcing: Incorporating Human Feedback with LLM-Powered Digital Twins Prevalence and prevention of large language model use in crowd work

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:41:41.680724Z

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.

source=pdf_text observed=2026-08-07T12:41:41.085786Z digest=sha256:71fcf3ea7c8c138de381dd3cab1bfdc0a2640471e891673e51d9935afec68f95