Claim · 2023-02-27 · publication · Stated in source · Supported

LLaMA (2023 paper) 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

LLaMA (2023 paper) → cites → Scaling Laws for Neural Language Models

Where it appears

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Claim and evidence

LLaMA (2023 paper)cites ↓Scaling Laws for Neural Language Models

Machine-checked, not reviewed by an editorStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 2023-02-27 · 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

LLaMA: Open and Efficient Foundation Language Models

arXiv · 2023-02-27

Cite the original source

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

Paraphrase

The text gives the arXiv identifier 2001.08361.

Location in source reference by arXiv identifier

Machine-checked · 2026-10-31

Source details and check notes

Authors: Hugo Touvron; Thibaut Lavril; Gautier Izacard; Xavier Martinet; Marie-Anne Lachaux; Timothée Lacroix; Baptiste Rozière; Naman Goyal; Eric Hambro; Faisal Azhar; Aurelien Rodriguez; Armand Joulin; Edouard Grave; Guillaume Lample
Version: arXiv:2302.13971v1; first submitted version.
Canonical address: Open the canonical source ↗
Accessed: 2026-09-29
Language: English (en)
Attribution: LLaMA: Open and Efficient Foundation Language Models — arXiv
Reuse: No redistribution licence asserted.. Source-linked metadata and brief evidence paraphrases; original text remains with its publisher.
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-llama-paper-scaling-laws