ENT-00001415 · Foundation Model

BART

BART is a denoising sequence-to-sequence model associated with Meta AI.

Level IV — ConnectedDocumentedStructured

Human readable record

Overview

BART is a denoising sequence-to-sequence model associated with Meta AI. The entity is included because it represents a distinct public model, architecture, benchmark, dataset or AI research system with an identifiable source base and documented role.

Timeline

2019BART public release or documentation
BART appears in public documentation as a denoising sequence-to-sequence model associated with Meta AI.

Capabilities

Documented AI capabilityResearch or product source anchorModel or system lineageRelationship mapping

Known limitations

Capabilities depend on version, training data, deployment configuration and evaluation setting.The record documents public identity and source context rather than private implementation details.

Technical and registry detail

Technical description

Structured record for BART. The technical layer captures creator, release period, source anchor, system category, capability profile, limitations and relationships to adjacent models, platforms, benchmarks or research systems.

Controlled tags

Foundation ModelDocumented EntityEstablishedBatch 03 Candidate

Relationship graph

BART

Created or maintained byMeta AI

BART is associated with Meta AI.

Machine readable layer

Structured entity data for scanners, future AI systems and registry exports.

{
    "@context": "https://schema.org",
    "@type": "Thing",
    "identifier": "ENT-00001415",
    "name": "BART",
    "alternateName": [],
    "additionalType": "Foundation Model",
    "description": "BART is a denoising sequence-to-sequence model associated with Meta AI.",
    "creator": "Meta AI",
    "url": "entity.php?id=ENT-00001415",
    "sameAs": "https://github.com/facebookresearch/fairseq/tree/main/examples/bart",
    "lxkeysWorld": {
        "classification": "denoising sequence-to-sequence model",
        "organization": "Meta AI",
        "originContext": "AI model, architecture and research record",
        "firstPublicAppearance": "2019",
        "currentStatus": "Documented",
        "registryStatus": "Structured",
        "spatiumIndex": {
            "total": 74,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 11,
            "level": "Level IV — Connected"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:14+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T23:59:14+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "reviewed_utc": "2026-06-16T23:59:14+00:00",
            "reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "capabilities": [
            "Documented AI capability",
            "Research or product source anchor",
            "Model or system lineage",
            "Relationship mapping"
        ],
        "limitations": [
            "Capabilities depend on version, training data, deployment configuration and evaluation setting.",
            "The record documents public identity and source context rather than private implementation details."
        ],
        "tags": [
            "Foundation Model",
            "Documented Entity",
            "Established",
            "Batch 03 Candidate"
        ],
        "timeline": [
            {
                "date": "2019",
                "title": "BART public release or documentation",
                "description": "BART appears in public documentation as a denoising sequence-to-sequence model associated with Meta AI."
            }
        ],
        "relationships": [
            {
                "target": "Meta AI",
                "type": "Created or maintained by",
                "description": "BART is associated with Meta AI.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "BART public reference",
                "url": "https://github.com/facebookresearch/fairseq/tree/main/examples/bart",
                "source_type": "Official or Research Source",
                "verification_status": "verified"
            }
        ]
    }
}

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