Structured entry data for human tools, AI systems and machine clients.
{
"@context": [
"https://schema.org",
{
"lxw": "https://lxkeys.world/schema/"
}
],
"@type": "Thing",
"identifier": "ENT-00000899",
"name": "RetNet",
"alternateName": [],
"additionalType": {
"category": "Models",
"type": "AI Model",
"subtype": "",
"lxkeysEntity": false
},
"description": "RetNet is a AI model associated with Microsoft AI, classified in LXKeys.world as Foundation / Language Model.",
"creator": "Microsoft Research",
"url": "https://lxkeys.world/entry.php?id=ENT-00000899&lang=en",
"sameAs": "https://www.microsoft.com/en-us/research/publication/retnet/",
"image": "https://lxkeys.world/uploads/entity-images/ENT-00000899.png",
"lxkeysWorld": {
"worldId": "ENT-00000899",
"kind": "Models",
"type": "AI Model",
"subtype": "",
"classification": "Foundation / Language Model",
"organization": "Microsoft AI",
"originContext": "Research model",
"firstPublicAppearance": "2023",
"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": "2026-06-16T23:59:02+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": [
"Language or multimodal model capability",
"API or deployment integration",
"Reasoning, generation or representation learning",
"Model-family relationship mapping"
],
"limitations": [
"Capabilities vary by release, deployment setting and evaluation method.",
"Operational details may differ across hosted APIs, open releases or downstream integrations."
],
"tags": [
"Microsoft AI",
"Foundation Model",
"Documented AI",
"retentive"
],
"timeline": [
{
"date": "2023",
"title": "Initial model publication or release",
"description": "RetNet 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://www.microsoft.com/en-us/research/publication/retnet/",
"verification_status": "source_backed_official"
}
],
"relationships": [
{
"target": "Microsoft AI",
"type": "Associated Organization",
"description": "Microsoft AI is the organization or ecosystem associated with RetNet.",
"evidence_level": "documentary",
"target_id": "ENT-00000053"
},
{
"target": "Microsoft Research",
"type": "Creator or Developer",
"description": "Microsoft Research is identified as a creator, developer or originating actor for RetNet.",
"evidence_level": "documentary"
},
{
"target": "Foundation Models",
"type": "Registry Category",
"description": "Model-level entity connected to the foundation-model layer of the registry.",
"evidence_level": "documentary"
}
],
"sources": [
{
"label": "RetNet official reference",
"url": "https://www.microsoft.com/en-us/research/publication/retnet/",
"source_type": "Official Documentation",
"verification_status": "verified",
"authority": "OFFICIAL",
"role": "primary",
"update_enabled": true,
"authority_basis": "curated-corpus-refresh-2026-09-08"
}
],
"canonical": [],
"imageMeta": {
"path": "uploads/entity-images/ENT-00000899.png",
"sha256": "2bc3eea21e63aee251ff2c130bae2dd759c1b9bd7413240350c30ce3d459b015",
"width": 512,
"height": 512,
"mime": "image/png",
"provenance_status": "PROVENANCE_UNCONFIRMED",
"review_status": "preserved_pending_official_verification",
"legacy_provenance_status": "legacy_unverified",
"source_type": "historical",
"source_label": "LXKeys.world historical media corpus",
"metadata_namespace": "urn:lxkeys:xmp:1.0",
"metadata_embedded": true,
"metadata_verified": true,
"asset_id": "LXW-IMG-ENT-00000899-2BC3EEA21E63",
"processing_id": "LXP-20260908-8A503861436D",
"processed_at_utc": "2026-09-08T18:00:00Z",
"dypclt": "D-0 Y-2 P-4 C-4 L-33 T-6",
"rights_holder": "",
"rights_policy": "PROVENANCE_REVIEW_REQUIRED",
"original_sha256": "2bc3eea21e63aee251ff2c130bae2dd759c1b9bd7413240350c30ce3d459b015",
"processed_sha256": "08508ef42ce6396a5aff8371243338564fc06da017e7ce00b5ccf20ea5fd5f2d"
}
}
}