Claim · 2023-10-01 · publication · Stated in source · Supported

Explosive growth from AI automation: A review of the arguments cites Scaling Laws for Neural Language Models.

One recorded claim. The claim panel gives its qualification, the source passages with their place in each source, and how it was checked.

What it connects

Explosive growth from AI automation: A review of the arguments → cites → Scaling Laws for Neural Language Models

Where it appears

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Claim and evidence

Explosive growth from AI automation: A review of the argumentscites ↓Scaling Laws for Neural Language Models

Machine-checked, not reviewed by an editorStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 2023-10-01 · 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

Explosive growth from AI automation: A review of the arguments

arXiv:2309.11690 [econ.GN] · 2023-10-01

Archived copy, captured 2025-06-30: Explosive growth from AI automation: A review of the arguments

Cite the original source

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Paraphrase

The text gives the arXiv identifier 2001.08361.

Location in source PDF p. 25, reference by arXiv identifier

Machine-checked · 2026-10-31

Source details and check notes

Authors: Ege Erdil; Tamay Besiroglu
Version: Wayback capture of arxiv.org/pdf/2309.11690v2; compared with v3. Capture retrieved 2026-10-08 (SHA-256 28610b91d03d1d055d6e1af308b964387905af66557936ee49c622f693985617). Versions: arXiv v1 (2023-09-20): not retrieved; arXiv v2 (2023-10-01): checked; arXiv v3 (2024-07-15): compared. Published version: Erdil, E., & Besiroglu, T. (2023). Explosive growth from AI automation: A review of the arguments (arXiv:2309.11690v2) [Preprint]. arXiv. https://arxiv.org/abs/2309.11690v2 No journal version located (Crossref search 2026-10-10 found none).
Canonical address: Open the canonical source ↗
Accessed: 2026-10-08
Language: English (en)
Archive copy: Open archived copy, captured 2025-06-30: Explosive growth from AI automation: A review of the arguments. Captured 638 days after the recorded publication date. An archive copy shows only what the archive retrieved on 2025-06-30. It does not prove what the page said earlier, and it can differ from the copy checked on 2026-10-08.
Attribution: Ege Erdil, Tamay Besiroglu, “Explosive growth from AI automation: A review of the arguments”, arXiv:2309.11690 [econ.GN], 2023-10-01.
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 (arXiv identifier) 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.

Status and meaning

Editorial status. Not reviewed by an editor. An exploratory record that no editor has accepted. This status does not say whether a person has read any linked passage. Each evidence record above shows how it was checked.

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-erdil-besiroglu-2023-explosive-growth-review-scaling-laws