PN
ENT-00002098 · Système IA

Pointer Networks

Pointer Networks is a AI system associated with Google / DeepMind, classified in LXKeys.world as Specialized AI System.

Niveau V PersistantActifDocumenté
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Vue d’ensemble

Pointer Networks is an AI model or research system associated with Google / DeepMind. It is documented as neural architecture for variable-size output dictionaries.

Chronologie

  1. 2015First public appearance

    Pointer Networks entered the documented public record in 2015. This event is retained at the precision supported by the Entry’s reviewed source history.

Capacités

AI-enabled task executionModel or workflow integrationInput/output transformationPublic system documentation

Limites connues

Model behavior depends on version, deployment settings and usage context.Capabilities should be interpreted through the linked model card, official documentation or research source.
Détail technique et structuré

Description technique

Structured LXKeys.world registry record for Pointer Networks. Entity type: AI System; classification: Specialized AI System; creator/organization context: Oriol Vinyals et al.. Canonical source anchor: https://arxiv.org/abs/1506.03134. 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

AI HistoryResearch SystemMachine LearningHistorical
Graphe relationnel

Pointer Networks

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Pointer Networks
CréateurSortante
Oriol Vinyals et al.

Oriol Vinyals et al. is documented as creator, contributor or originating team for Pointer Networks.

Organisation associéeSortante
Google DeepMind

Google / DeepMind is the organization or institutional context associated with Pointer Networks.

ClassificationSortante
Historical / Research AI System

Pointer Networks is classified as Historical / Research AI System.

Couche lisible par machine

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

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    "@context": [
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    ],
    "@type": "Thing",
    "identifier": "ENT-00002098",
    "name": "Pointer Networks",
    "alternateName": [],
    "additionalType": {
        "category": "AI Systems",
        "type": "AI System",
        "subtype": "",
        "lxkeysEntity": false
    },
    "description": "Pointer Networks is a AI system associated with Google / DeepMind, classified in LXKeys.world as Specialized AI System.",
    "creator": "Oriol Vinyals et al.",
    "url": "https://lxkeys.world/entry.php?id=ENT-00002098&lang=fr",
    "sameAs": "https://arxiv.org/abs/1506.03134",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00002098",
        "kind": "AI Systems",
        "type": "AI System",
        "subtype": "",
        "classification": "Specialized AI System",
        "organization": "Google / DeepMind",
        "originContext": "AI history and research",
        "firstPublicAppearance": "2015",
        "currentStatus": "Active",
        "documentationStatus": "Documented",
        "documentationIndex": {
            "total": 88,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 25,
            "level": "Level V Persistent"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-17T01:33:48+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4",
            "updated_utc": "2026-06-17T01:33:48+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4"
        },
        "facts": [],
        "capabilities": [
            "AI-enabled task execution",
            "Model or workflow integration",
            "Input/output transformation",
            "Public system documentation"
        ],
        "limitations": [
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            "Capabilities should be interpreted through the linked model card, official documentation or research source."
        ],
        "tags": [
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            "Machine Learning",
            "Historical"
        ],
        "timeline": [
            {
                "date": "2015",
                "title": "First public appearance",
                "description": "Pointer Networks entered the documented public record in 2015. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "https://arxiv.org/abs/1506.03134",
                "verification_status": "source_backed_curated_baseline"
            }
        ],
        "relationships": [
            {
                "target": "Oriol Vinyals et al.",
                "type": "Creator",
                "description": "Oriol Vinyals et al. is documented as creator, contributor or originating team for Pointer Networks.",
                "evidence_level": "documentary"
            },
            {
                "target": "Google / DeepMind",
                "type": "Associated organization",
                "description": "Google / DeepMind is the organization or institutional context associated with Pointer Networks.",
                "evidence_level": "documentary",
                "target_id": "ENT-00000050"
            },
            {
                "target": "Historical / Research AI System",
                "type": "Classification",
                "description": "Pointer Networks is classified as Historical / Research AI System.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "Official documentation",
                "url": "https://arxiv.org/abs/1506.03134",
                "source_type": "Research / Reference Source",
                "verification_status": "verified",
                "authority": "TRUSTED_PRIMARY",
                "role": "research_paper",
                "update_enabled": false,
                "authority_basis": "curated-corpus-refresh-2026-09-08"
            }
        ],
        "canonical": [],
        "imageMeta": []
    }
}
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