Claim · 2018-12-14 · publication · Stated in source · Supported

An Empirical Model of Large-Batch Training cites Proximal Policy Optimization Algorithms.

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

An Empirical Model of Large-Batch Training → cites → Proximal Policy Optimization Algorithms

Where it appears

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Claim and evidence

An Empirical Model of Large-Batch Trainingcites ↓Proximal Policy Optimization Algorithms

Machine-checked, not reviewed by an editorStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 2018-12-14 · publication Records dated 2018 →

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

An Empirical Model of Large-Batch Training

arXiv · 2018-12-14

Cite the original source

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Paraphrase

The text gives the arXiv identifier 1707.06347.

Location in source PDF p. 34, reference by arXiv identifier

Machine-checked · 2026-10-31

Source details and check notes

Authors: Sam McCandlish; Jared Kaplan; Dario Amodei; OpenAI Dota Team
Version: arXiv:1812.06162v1; first-submission date from version history. Later revisions are not substituted.
Version date: 2018-12-14
Canonical address: Open the canonical source ↗
Accessed: 2026-09-20
Language: English (en)
Attribution: Sam McCandlish; Jared Kaplan; Dario Amodei; OpenAI Dota Team, An Empirical Model of Large-Batch Training (2018-12-14).
Reuse: No open redistribution licence asserted. Bibliographic metadata and brief attributed paraphrases only; no full source, personal contact details or dataset imported.
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-large-batch-training-ppo-paper