Paper Citation Record · LEDGER

Is GPT-3 a Good Data Annotator?

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2212.10450.

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

pith.paper-citation-record.v1
2212.10450 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:51:07.995216Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T05:40:56.026876Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 85751ac7-0807-47fa-a81a-114b5adca09e · inbound

Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models cites this paper.

Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models Is GPT-3 a Good Data Annotator?

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T22:57:01.607230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7d619d6-e98c-44e6-af12-6853194fbb03 · inbound

The Current Challenges of Software Engineering in the Era of Large Language Models cites this paper.

The Current Challenges of Software Engineering in the Era of Large Language Models Is GPT-3 a Good Data Annotator?

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T12:10:13.439041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a45b919-42cd-47d5-bdfc-d37d4c40ef3c · inbound

Measuring Diversity in Synthetic Datasets cites this paper.

Measuring Diversity in Synthetic Datasets Is GPT-3 a Good Data Annotator?

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T04:54:50.626666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 196dd62c-c81e-4bfe-9c82-843e86eed898 · inbound

Less is More: Adaptive Coverage for Synthetic Training Data cites this paper.

Less is More: Adaptive Coverage for Synthetic Training Data Is GPT-3 a Good Data Annotator?

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T11:51:07.995216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2ffd7ca-6cae-43f5-afc2-64774f70ce7e · inbound

Towards DS-NER: Unveiling and Addressing Latent Noise in Distant Annotations cites this paper.

Towards DS-NER: Unveiling and Addressing Latent Noise in Distant Annotations Is GPT-3 a Good Data Annotator?

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:33.389771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42019cdb-260c-4c0f-a28c-833ec6c747c1 · inbound

What Matters in LLM-generated Data: Diversity and Its Effect on Model Fine-Tuning cites this paper.

What Matters in LLM-generated Data: Diversity and Its Effect on Model Fine-Tuning Is GPT-3 a Good Data Annotator?

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:18.904149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd498ddc-4285-4d33-af2b-5efd50bc7601 · inbound

Hybrid Annotation for Propaganda Detection: Integrating LLM Pre-Annotations with Human Intelligence cites this paper.

Hybrid Annotation for Propaganda Detection: Integrating LLM Pre-Annotations with Human Intelligence Is GPT-3 a Good Data Annotator?

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T18:19:18.621956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f24501cf-8c61-453f-bcda-0058e718d101 · inbound

Online In-Context Distillation for Low-Resource Vision Language Models cites this paper.

Online In-Context Distillation for Low-Resource Vision Language Models Is GPT-3 a Good Data Annotator?

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:40:56.029606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b1cf1ab0-48dc-4894-9c1d-4b15e448a1e1 · inbound

Learning to Select Visual In-Context Demonstrations cites this paper.

Learning to Select Visual In-Context Demonstrations Is GPT-3 a Good Data Annotator?

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T05:46:05.346399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 377c6155-48f9-4b5e-8ab3-fcfd91fa6e27 · inbound

Dynamic Emotion and Personality Profiling for Multimodal Deception Detection cites this paper.

Dynamic Emotion and Personality Profiling for Multimodal Deception Detection Is GPT-3 a Good Data Annotator?

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:31:30.981784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.