Claim · 2025-06-04 · publication · Stated in source · Supported

Seed-Coder: Let the Code Model Curate Data for Itself cites Evaluating Large Language Models Trained on Code.

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

Seed-Coder: Let the Code Model Curate Data for Itself → cites → Evaluating Large Language Models Trained on Code

Where it appears

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

Claim and evidence

Seed-Coder: Let the Code Model Curate Data for Itselfcites ↓Evaluating Large Language Models Trained on Code

Machine-checked, not reviewed by an editorStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 2025-06-04 · publication Records dated 2025 →

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

Seed-Coder: Let the Code Model Curate Data for Itself

arXiv · 2025-06-04

Cite the original source

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

Paraphrase

The text gives the arXiv identifier 2107.03374.

Location in source PDF p. 35, reference by arXiv identifier

Machine-checked · 2026-10-31

Source details and check notes

Authors: ByteDance Seed
Version: Dated document, retrieved on 2026-10-27 (SHA-256 47ccba504747d69d9d2087c9ff4f3ca59412bb91b8234463bbff35f4f2b5033e) directly from the publisher. Version: 2506.03524v1. PDF of version 1.
Canonical address: Open the canonical source ↗
Accessed: 2026-10-27
Language: English (en)
Attribution: ByteDance Seed, “Seed-Coder: Let the Code Model Curate Data for Itself”, 2025-06-04.
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. A cross-family machine check (2026-10-30, item B063) found the citation in the citing text. 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-seed-coder-report-evaluating-large-language-models-trained-2021