Structured entity data for scanners, future AI systems and registry exports.
{
"@context": "https://schema.org",
"@type": "Thing",
"identifier": "ENT-00002112",
"name": "DenseNet",
"alternateName": [],
"additionalType": "AI System",
"description": "DenseNet is a historical / research ai system associated with Cornell / Tsinghua.",
"creator": "Gao Huang et al.",
"url": "entity.php?id=ENT-00002112",
"sameAs": "https://github.com/liuzhuang13/DenseNet",
"lxkeysWorld": {
"classification": "Historical / Research AI System",
"organization": "Cornell / Tsinghua",
"originContext": "AI history and research",
"firstPublicAppearance": "2017",
"currentStatus": "Active",
"registryStatus": "Documented",
"spatiumIndex": {
"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",
"reviewed_utc": "2026-06-17T01:33:48+00:00",
"reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4"
},
"capabilities": [
"AI model or research system documentation",
"Public source anchoring",
"Machine-learning capability reference",
"Relationship graph compatibility",
"Machine-readable metadata"
],
"limitations": [
"Model behavior depends on version, deployment settings and usage context.",
"Capabilities should be interpreted through the linked model card, official documentation or research source."
],
"tags": [
"AI History",
"Research System",
"Machine Learning",
"Historical"
],
"timeline": [
{
"date": "2017",
"title": "Public release or publication",
"description": "DenseNet appears in public documentation or research records associated with Cornell / Tsinghua."
}
],
"relationships": [
{
"target": "Gao Huang et al.",
"type": "Creator",
"description": "Gao Huang et al. is documented as creator, contributor or originating team for DenseNet.",
"evidence_level": "documentary"
},
{
"target": "Cornell / Tsinghua",
"type": "Associated organization",
"description": "Cornell / Tsinghua is the organization or institutional context associated with DenseNet.",
"evidence_level": "documentary"
},
{
"target": "Historical / Research AI System",
"type": "Classification",
"description": "DenseNet is classified as Historical / Research AI System.",
"evidence_level": "documentary"
}
],
"sources": [
{
"label": "Official documentation",
"url": "https://github.com/liuzhuang13/DenseNet",
"source_type": "Research / Reference Source",
"verification_status": "verified"
}
]
}
}