DE
ENT-00002112 · AI System

DenseNet

DenseNet is a AI system associated with Cornell / Tsinghua, classified in LXKeys.world as Specialized AI System.

Level V PersistentActiveDocumented
Human record

Overview

DenseNet is an AI model or research system associated with Cornell / Tsinghua. It is documented as densely connected convolutional network.

Timeline

  1. 2017First public appearance

    DenseNet entered the documented public record in 2017. This event is retained at the precision supported by the Entry’s reviewed source history.

Capabilities

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

Known 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.
Technical and structured detail

Technical description

Structured LXKeys.world registry record for DenseNet. Entity type: AI System; classification: Specialized AI System; creator/organization context: Gao Huang et al.. Canonical source anchor: https://github.com/liuzhuang13/DenseNet. 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.

Controlled tags

AI HistoryResearch SystemMachine LearningHistorical
Relationship graph

DenseNet

Open in full graph
DenseNet
CreatorOutgoing
Gao Huang et al.

Gao Huang et al. is documented as creator, contributor or originating team for DenseNet.

Associated organizationOutgoing
Cornell / Tsinghua

Cornell / Tsinghua is the organization or institutional context associated with DenseNet.

ClassificationOutgoing
Historical / Research AI System

DenseNet is classified as Historical / Research AI System.

Machine readable layer

Structured entry data for human tools, AI systems and machine clients.

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    "@type": "Thing",
    "identifier": "ENT-00002112",
    "name": "DenseNet",
    "alternateName": [],
    "additionalType": {
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    "description": "DenseNet is a AI system associated with Cornell / Tsinghua, classified in LXKeys.world as Specialized AI System.",
    "creator": "Gao Huang et al.",
    "url": "https://lxkeys.world/entry.php?id=ENT-00002112&lang=en",
    "sameAs": "https://github.com/liuzhuang13/DenseNet",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00002112",
        "kind": "AI Systems",
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        "classification": "Specialized AI System",
        "organization": "Cornell / Tsinghua",
        "originContext": "AI history and research",
        "firstPublicAppearance": "2017",
        "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",
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                "title": "First public appearance",
                "description": "DenseNet entered the documented public record in 2017. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "https://github.com/liuzhuang13/DenseNet",
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        "relationships": [
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                "description": "Gao Huang et al. is documented as creator, contributor or originating team for DenseNet.",
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            {
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        "sources": [
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                "url": "https://github.com/liuzhuang13/DenseNet",
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                "verification_status": "verified",
                "authority": "TRUSTED_PRIMARY",
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                "authority_basis": "curated-corpus-refresh-2026-09-08"
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}
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