Claim · 2023-03-17 · publication · Stated in source · Supported

GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models cites Language Models are Unsupervised Multitask Learners.

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What it connects

GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models → cites → Language Models are Unsupervised Multitask Learners

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Claim and evidence

GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Modelscites ↓Language Models are Unsupervised Multitask Learners

Machine-checked, not reviewed by an editorStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 2023-03-17 · publication Records dated 2023 →

Scope and limitsAn explicit reference only; neither agreement nor influence. The citing text does not identify which version of the work was read.

The evidence 01

primary sourceSupports the claim

GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models

arXiv:2303.10130v1 · 2023-03-17

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Paraphrase

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Location in source PDF p. 34, reference or mention by title

Machine-checked · 2026-10-31

Source details and check notes

Authors: Tyna Eloundou; Sam Manning; Pamela Mishkin; Daniel Rock
Version: Full text (v1). Current copy retrieved directly on 2026-10-09; no archive capture (Wayback unreachable), so earlier bytes are not authenticated. SHA-256 f3c91bc909258b4824e2ea101a4f489aaea75d422adaf8508a79883b0d0f74bd. Journal version not retrieved. Eloundou, T., Manning, S., Mishkin, P., & Rock, D. (2024). GPTs are GPTs: Labor market impact potential of LLMs. Science, 384(6702), 1306–1308. https://doi.org/10.1126/science.adj0998
Canonical address: Open the canonical source ↗
Accessed: 2026-10-09
Language: English (en)
Attribution: Tyna Eloundou, Sam Manning, Pamela Mishkin, Daniel Rock, “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, arXiv:2303.10130v1, 2023-03-17.
Reuse: No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution.
Check notes: Candidate pack passage, key papers (research/key-papers). The citation was matched (title) in the text retrieved for the candidate pack on 2026-10-28 and re-found by its mechanical check. The paraphrase is Selekoa’s. No human editorial review.

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Relation. An explicit reference to a work. Citation alone is neither agreement nor causal influence.

Date. Date of the citing source as recorded in the dataset; unknown where the dataset has none.

Record ID kp-cites-eloundou-et-al-2023-gpts-are-gpts-language-models-unsupervised-multitask-learners-2019