GP
ENT-00000709 · Système de recherche

GPQA

GPQA is a research system associated with Academic benchmark, classified in LXKeys.world as AI Research / Specialized System.

Niveau V PersistantActifDocumenté
Fiche publique

Vue d’ensemble

GPQA is documented as a research system, benchmark, dataset or scientific AI record associated with Academic benchmark. It is relevant for graduate-level science question answering benchmark. The record helps situate evaluation, discovery, training evidence or scientific capability in the registry graph.

Chronologie

  1. 2023Initial research publication or demonstration

    GPQA entered the documented public record in 2023. This event is retained at the precision supported by the Entry’s reviewed source history.

Capacités

Research evaluation or discoveryScientific or benchmark utilityStructured evidence generationModel or system analysis

Limites connues

Capabilities vary by release, deployment setting and evaluation method.Operational details may differ across hosted APIs, open releases or downstream integrations.
Détail technique et structuré

Description technique

Structured LXKeys.world registry record for GPQA. Entity type: Research System; classification: AI Research / Specialized System; creator/organization context: NYU / Anthropic contributors. Canonical source anchor: https://github.com/idavidrein/gpqa. The record tracks source authority, first public appearance, timeline, capabilities, limitations, registry status and graph relationships. Automatic refresh is limited to sources explicitly classified as OFFICIAL and enabled for updates; documentary and research references remain non-authoritative unless reviewed.

Tags contrôlés

Academic benchmarkResearch SystemResearchgraduate-level
Graphe relationnel

GPQA

Ouvrir dans le graphe complet
GPQA
Organisation associéeSortante
Academic benchmark

Academic benchmark is the organization or ecosystem associated with GPQA.

Créateur ou développeurSortante
NYU / Anthropic contributors

NYU / Anthropic contributors is identified as a creator, developer or originating actor for GPQA.

Couche lisible par machine

Données structurées de l’entrée pour les outils humains, les systèmes IA et les clients machine.

{
    "@context": [
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        {
            "lxw": "https://lxkeys.world/schema/"
        }
    ],
    "@type": "Thing",
    "identifier": "ENT-00000709",
    "name": "GPQA",
    "alternateName": [],
    "additionalType": {
        "category": "Methods and Research",
        "type": "Research System",
        "subtype": "",
        "lxkeysEntity": false
    },
    "description": "GPQA is a research system associated with Academic benchmark, classified in LXKeys.world as AI Research / Specialized System.",
    "creator": "NYU / Anthropic contributors",
    "url": "https://lxkeys.world/entry.php?id=ENT-00000709&lang=fr",
    "sameAs": "https://github.com/idavidrein/gpqa",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00000709",
        "kind": "Methods and Research",
        "type": "Research System",
        "subtype": "",
        "classification": "AI Research / Specialized System",
        "organization": "Academic benchmark",
        "originContext": "Benchmark",
        "firstPublicAppearance": "2023",
        "currentStatus": "Active",
        "documentationStatus": "Documented",
        "documentationIndex": {
            "total": 82,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 19,
            "level": "Level V Persistent"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:02+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T23:59:02+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "facts": [],
        "capabilities": [
            "Research evaluation or discovery",
            "Scientific or benchmark utility",
            "Structured evidence generation",
            "Model or system analysis"
        ],
        "limitations": [
            "Capabilities vary by release, deployment setting and evaluation method.",
            "Operational details may differ across hosted APIs, open releases or downstream integrations."
        ],
        "tags": [
            "Academic benchmark",
            "Research System",
            "Research",
            "graduate-level"
        ],
        "timeline": [
            {
                "date": "2023",
                "title": "Initial research publication or demonstration",
                "description": "GPQA entered the documented public record in 2023. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "https://github.com/idavidrein/gpqa",
                "verification_status": "source_backed_curated_baseline"
            }
        ],
        "relationships": [
            {
                "target": "Academic benchmark",
                "type": "Associated Organization",
                "description": "Academic benchmark is the organization or ecosystem associated with GPQA.",
                "evidence_level": "documentary"
            },
            {
                "target": "NYU / Anthropic contributors",
                "type": "Creator or Developer",
                "description": "NYU / Anthropic contributors is identified as a creator, developer or originating actor for GPQA.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "GPQA official reference",
                "url": "https://github.com/idavidrein/gpqa",
                "source_type": "Official Documentation",
                "verification_status": "verified",
                "authority": "TRUSTED_PRIMARY",
                "role": "code_repository",
                "update_enabled": false,
                "authority_basis": "curated-corpus-refresh-2026-09-08"
            }
        ],
        "canonical": [],
        "imageMeta": []
    }
}
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