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Scaling Laws reports using the large-batch model to adjust training-step and compute estimates. Copy claim link
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Machine-checked, not reviewed by an editor Stated in source Supported
Supporting evidence: primary · 1 source
Date 2020-01-23 · publication Scope and limits Author-reported use in the specified study, not independent replication, general institutional adoption, sole origin or proof of effectiveness. The target identifies a work; its inspected version is not necessarily the version used by these authors.
The evidence 01 primary source Supports the claim
Scaling Laws for Neural Language Models ↗ arXiv · 2020-01-23
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Cite the original source Cite the original document, not Selekoa. Check these details against it.
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Paraphrase The paper uses the critical batch size to adjust steps and compute.
Location in source v1 §5.1, equations 5.4–5.5, PDF p. 13
Machine-checked · 2026-09-20
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 Relevant source passage inspected by machine. Primary for what this document states; no independent replication or human review. Existing source access dates are retained; this evidence check has its own date. 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. A document explicitly reports using an identified method or architecture from another work in its own study. Requires a named method and primary evidence from the reporting document. Citation, comparison, proposed future use and similarity alone do not qualify. This is reported use, not independently verified implementation or institutional adoption.
Date. First arXiv submission date of the inspected v1 expression; not the method invention date or a claim about later revisions.
Record ID lineage-scaling-uses-batch