Claim · 2023-12-21 · snapshot · Stated in source · Supported

The InternVL report (arXiv version 1) gives OpenGVLab as an affiliation in the form 'OpenGVLab, Shanghai AI Laboratory'.

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

OpenGVLab → was a unit of → Shanghai Artificial Intelligence Laboratory / 上海人工智能实验室

Where it appears

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

Claim and evidence

OpenGVLabwas a unit of ↓Shanghai Artificial Intelligence Laboratory / 上海人工智能实验室

Machine-checked, not reviewed by an editorStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 2023-12-21 · snapshot Records dated 2023 →

Scope and limitsThe unit relation rests on the affiliation form alone (group, institution); no organisational chart or statement by the laboratory was retrieved.

The evidence 01

primary sourceSupports the claim

InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks

arXiv · 2023-12-21

Cite the original source

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

Source excerpt

“OpenGVLab, Shanghai AI Laboratory”

Location in source Title page, affiliations

How it was read Retrieved directly from the publisher

Machine-checked · 2026-10-31

Source details and check notes

Authors: Zhe Chen; Jiannan Wu; Wenhai Wang
Version: Dated document, retrieved on 2026-10-29 (SHA-256 9c1b09946f5e357f77f5ba2d5395a6d5e53d6f95eecec93b03fbd3205c136768) directly from the publisher. Version: 2312.14238v1. PDF of version 1 (21 December 2023); the abstract page notes a later v3 of 15 January 2024, not inspected. The author list gives the first credited authors only; see the document for the full list.
Canonical address: Open the canonical source ↗
Accessed: 2026-10-29
Language: English (en)
Attribution: Zhe Chen, Jiannan Wu, Wenhai Wang, “InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks”, 2023-12-21.
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, Chinese frontier-AI institutions, third collection (research/china-labs-3). The quotation (4 words) matched the text retrieved for the candidate pack on 2026-10-29 and again in a fresh retrieval the same day, read directly from the publisher. Matching ignored differences of whitespace, case, quotation marks, dashes and Unicode compatibility forms, so the source’s typography can differ. 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. A documented internal research team or unit within an organisation. Does not establish a separate legal subsidiary or an ownership transaction.

Date. Affiliation as printed in the version of 21 December 2023; no founding or later status of OpenGVLab was checked.

Record ID c3-shlab-opengvlab-unit