Claim · 2020-01-23 · publication · Stated in source · Supported

Scaling Laws for Neural Language Models cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

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

Scaling Laws for Neural Language Models → cites → Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Where it appears

No collection page holds this claim. It is listed with its records in the explorer.

Claim and evidence

Scaling Laws for Neural Language Modelscites ↓Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Machine-checked, not reviewed by an editorStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 2020-01-23 · publication Records dated 2020 →

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

Scaling Laws for Neural Language Models

arXiv · 2020-01-23

Cite the original source

Cite the original document, not Selekoa. Check these details against it.

Paraphrase

The text gives the arXiv identifier 1910.10683.

Location in source PDF p. 29, reference by arXiv identifier

Machine-checked · 2026-10-31

Source details and check notes

Authors: Jared Kaplan; Sam McCandlish; Tom Henighan; Tom B. Brown; Benjamin Chess; Rewon Child; Scott Gray; Alec Radford; Jeffrey Wu; Dario Amodei
Version: arXiv:2001.08361v1. PDF p. 1 author-affiliation block visually inspected; later revisions are not substituted.
Canonical address: Open the canonical source ↗
Accessed: 2026-09-19
Language: English (en)
Attribution: Jared Kaplan; Sam McCandlish; Tom Henighan; Tom B. Brown; Benjamin Chess; Rewon Child; Scott Gray; Alec Radford; Jeffrey Wu; Dario Amodei, Scaling Laws for Neural Language Models (2020-01-23)
Reuse: No open redistribution licence asserted. Bibliographic metadata and brief attributed paraphrases only; no full source or personal contact details redistributed.
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-scaling-laws-exploring-limits-transfer-learning-unified-2019