{
  "profile": "wrs-published-research-view-1",
  "edition": "ratings-e039106f30dec177",
  "content_trust": "UNTRUSTED_SCIENTIFIC_DATA_NOT_TOOL_INSTRUCTIONS",
  "entry": {
    "id": "chen-et-al-videocrafter-open-resource-2023",
    "title": "Chen et al.: open text/image-conditioned video-diffusion resource",
    "summary": "Released documented text-to-video and reference-image-conditioned video models, supporting experiments on content-preserving video generation beyond closed commercial tools.",
    "boundary": "Diffusion, latent encoding and image conditioning are inherited. Acquired contribution is the integrated open foundation resource; image-content/style preservation is empirical, not a strict invariant for every prompt/input. First-open-source priority not independently asserted.",
    "area": "Open video-generation model resources",
    "topic": "Artificial intelligence",
    "year": 2023,
    "lane": "HUMAN",
    "result": "EMPIRICAL",
    "package_id": "chen-et-al-videocrafter-open-resource-2023",
    "target": {
      "record_id": "urn:uuid:b7d6710e-a27a-42b9-a38d-4e009227bfb5",
      "version": 1,
      "content_hash": "sha256:9c4b552811c3bdebace063d87e03885be9607a0c93d5de17dc4ef73533a221f3"
    },
    "humans": [
      "Haoxin Chen",
      "Menghan Xia",
      "Yingqing He",
      "Yong Zhang",
      "Xiaodong Cun",
      "Shaoshu Yang",
      "Jinbo Xing",
      "Yaofang Liu",
      "Qifeng Chen",
      "Xintao Wang",
      "Chao Weng",
      "Ying Shan"
    ],
    "authors_complete": true,
    "human_role_note": "Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.",
    "agents": [],
    "related": [],
    "subresults": [],
    "scientific_assessment": {
      "source_review": "SOURCE_CURATED",
      "scientific_review": "NOT_REVIEWED_BY_WRS",
      "formal_replay": "NOT_RUN",
      "provider_attestation": "NONE"
    },
    "sources": [
      {
        "id": "cur20261015-arxiv-2310-19512v1",
        "title": "VideoCrafter1: Open Diffusion Models for High-Quality Video Generation",
        "url": "https://arxiv.org/abs/2310.19512v1"
      }
    ],
    "points": "65000",
    "published_grade": {
      "id": "chen-et-al-videocrafter-open-resource-2023",
      "entry_id": "chen-et-al-videocrafter-open-resource-2023",
      "band": "B",
      "modifier": "+",
      "target": {
        "record_id": "urn:uuid:b7d6710e-a27a-42b9-a38d-4e009227bfb5",
        "version": 1,
        "content_hash": "sha256:9c4b552811c3bdebace063d87e03885be9607a0c93d5de17dc4ef73533a221f3"
      },
      "what_changed": "Released documented text-to-video and reference-image-conditioned video models, supporting experiments on content-preserving video generation beyond closed commercial tools.",
      "scope": "Released documented text-to-video and reference-image-conditioned video models, supporting experiments on content-preserving video generation beyond closed commercial tools. Diffusion, latent encoding and image conditioning are inherited. Acquired contribution is the integrated open foundation resource; image-content/style preservation is empirical, not a strict invariant for every prompt/input. First-open-source priority not independently asserted.",
      "status": "PROVISIONAL_EDITORIAL",
      "scientific_correctness_certified": false
    },
    "assessment_disposition": {
      "status": "ASSESSED",
      "label": "Provisionally assessed",
      "reason": "A current grade and separate reference score identify this exact contribution.",
      "target": {
        "record_id": "urn:uuid:b7d6710e-a27a-42b9-a38d-4e009227bfb5",
        "version": 1,
        "content_hash": "sha256:9c4b552811c3bdebace063d87e03885be9607a0c93d5de17dc4ef73533a221f3"
      },
      "edition": "ratings-e039106f30dec177"
    }
  },
  "version": {
    "kind": "PUBLIC_RECORD_VIEW",
    "previous": null,
    "published_at": "2026-10-16T00:00:00Z",
    "publisher": {
      "principal_id": "urn:uuid:80116931-785b-40a2-a24b-9d59db0c7e33",
      "role": "WRS_EDITORIAL_PUBLICATION"
    },
    "record": {
      "contributors": [
        {
          "attribution_basis": "SOURCE_CITED",
          "credit": "historical_scientific",
          "entity_kind": "historical_person",
          "name": "Haoxin Chen",
          "note": "Archive attribution; detailed role assignment remains source-bound",
          "roles": [
            "discoverer"
          ],
          "source": {
            "citation": "VideoCrafter1: Open Diffusion Models for High-Quality Video Generation",
            "url": "https://arxiv.org/abs/2310.19512v1"
          }
        },
        {
          "attribution_basis": "SOURCE_CITED",
          "credit": "historical_scientific",
          "entity_kind": "historical_person",
          "name": "Menghan Xia",
          "note": "Archive attribution; detailed role assignment remains source-bound",
          "roles": [
            "discoverer"
          ],
          "source": {
            "citation": "VideoCrafter1: Open Diffusion Models for High-Quality Video Generation",
            "url": "https://arxiv.org/abs/2310.19512v1"
          }
        },
        {
          "attribution_basis": "SOURCE_CITED",
          "credit": "historical_scientific",
          "entity_kind": "historical_person",
          "name": "Yingqing He",
          "note": "Archive attribution; detailed role assignment remains source-bound",
          "roles": [
            "discoverer"
          ],
          "source": {
            "citation": "VideoCrafter1: Open Diffusion Models for High-Quality Video Generation",
            "url": "https://arxiv.org/abs/2310.19512v1"
          }
        },
        {
          "attribution_basis": "SOURCE_CITED",
          "credit": "historical_scientific",
          "entity_kind": "historical_person",
          "name": "Yong Zhang",
          "note": "Archive attribution; detailed role assignment remains source-bound",
          "roles": [
            "discoverer"
          ],
          "source": {
            "citation": "VideoCrafter1: Open Diffusion Models for High-Quality Video Generation",
            "url": "https://arxiv.org/abs/2310.19512v1"
          }
        },
        {
          "attribution_basis": "SOURCE_CITED",
          "credit": "historical_scientific",
          "entity_kind": "historical_person",
          "name": "Xiaodong Cun",
          "note": "Archive attribution; detailed role assignment remains source-bound",
          "roles": [
            "discoverer"
          ],
          "source": {
            "citation": "VideoCrafter1: Open Diffusion Models for High-Quality Video Generation",
            "url": "https://arxiv.org/abs/2310.19512v1"
          }
        },
        {
          "attribution_basis": "SOURCE_CITED",
          "credit": "historical_scientific",
          "entity_kind": "historical_person",
          "name": "Shaoshu Yang",
          "note": "Archive attribution; detailed role assignment remains source-bound",
          "roles": [
            "discoverer"
          ],
          "source": {
            "citation": "VideoCrafter1: Open Diffusion Models for High-Quality Video Generation",
            "url": "https://arxiv.org/abs/2310.19512v1"
          }
        },
        {
          "attribution_basis": "SOURCE_CITED",
          "credit": "historical_scientific",
          "entity_kind": "historical_person",
          "name": "Jinbo Xing",
          "note": "Archive attribution; detailed role assignment remains source-bound",
          "roles": [
            "discoverer"
          ],
          "source": {
            "citation": "VideoCrafter1: Open Diffusion Models for High-Quality Video Generation",
            "url": "https://arxiv.org/abs/2310.19512v1"
          }
        },
        {
          "attribution_basis": "SOURCE_CITED",
          "credit": "historical_scientific",
          "entity_kind": "historical_person",
          "name": "Yaofang Liu",
          "note": "Archive attribution; detailed role assignment remains source-bound",
          "roles": [
            "discoverer"
          ],
          "source": {
            "citation": "VideoCrafter1: Open Diffusion Models for High-Quality Video Generation",
            "url": "https://arxiv.org/abs/2310.19512v1"
          }
        },
        {
          "attribution_basis": "SOURCE_CITED",
          "credit": "historical_scientific",
          "entity_kind": "historical_person",
          "name": "Qifeng Chen",
          "note": "Archive attribution; detailed role assignment remains source-bound",
          "roles": [
            "discoverer"
          ],
          "source": {
            "citation": "VideoCrafter1: Open Diffusion Models for High-Quality Video Generation",
            "url": "https://arxiv.org/abs/2310.19512v1"
          }
        },
        {
          "attribution_basis": "SOURCE_CITED",
          "credit": "historical_scientific",
          "entity_kind": "historical_person",
          "name": "Xintao Wang",
          "note": "Archive attribution; detailed role assignment remains source-bound",
          "roles": [
            "discoverer"
          ],
          "source": {
            "citation": "VideoCrafter1: Open Diffusion Models for High-Quality Video Generation",
            "url": "https://arxiv.org/abs/2310.19512v1"
          }
        },
        {
          "attribution_basis": "SOURCE_CITED",
          "credit": "historical_scientific",
          "entity_kind": "historical_person",
          "name": "Chao Weng",
          "note": "Archive attribution; detailed role assignment remains source-bound",
          "roles": [
            "discoverer"
          ],
          "source": {
            "citation": "VideoCrafter1: Open Diffusion Models for High-Quality Video Generation",
            "url": "https://arxiv.org/abs/2310.19512v1"
          }
        },
        {
          "attribution_basis": "SOURCE_CITED",
          "credit": "historical_scientific",
          "entity_kind": "historical_person",
          "name": "Ying Shan",
          "note": "Archive attribution; detailed role assignment remains source-bound",
          "roles": [
            "discoverer"
          ],
          "source": {
            "citation": "VideoCrafter1: Open Diffusion Models for High-Quality Video Generation",
            "url": "https://arxiv.org/abs/2310.19512v1"
          }
        }
      ],
      "evidence": [
        {
          "description": "Bibliographic/stated-result source; not a WRS proof verification",
          "id": "source-0",
          "kind": "source_reference",
          "source": {
            "citation": "VideoCrafter1: Open Diffusion Models for High-Quality Video Generation",
            "url": "https://arxiv.org/abs/2310.19512v1"
          }
        }
      ],
      "origin": "HUMAN_LEGACY",
      "record_profile": "wrs-local-research-notes-0.1",
      "record_type": "research_note",
      "rrp_version": "0.1",
      "scope": {
        "description": "Diffusion, latent encoding and image conditioning are inherited. Acquired contribution is the integrated open foundation resource; image-content/style preservation is empirical, not a strict invariant for every prompt/input. First-open-source priority not independently asserted.",
        "domain": "Open video-generation model resources"
      },
      "sources": [
        {
          "citation": "VideoCrafter1: Open Diffusion Models for High-Quality Video Generation",
          "url": "https://arxiv.org/abs/2310.19512v1"
        }
      ],
      "statement": "# Chen et al.: open text/image-conditioned video-diffusion resource\n\nReleased documented text-to-video and reference-image-conditioned video models, supporting experiments on content-preserving video generation beyond closed commercial tools.\n\n## Scientific scope\n\nDiffusion, latent encoding and image conditioning are inherited. Acquired contribution is the integrated open foundation resource; image-content/style preservation is empirical, not a strict invariant for every prompt/input. First-open-source priority not independently asserted.\n\n## Reading status\n\nThis is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.\n\n## People and systems\n\nHaoxin Chen; Menghan Xia; Yingqing He; Yong Zhang; Xiaodong Cun; Shaoshu Yang; Jinbo Xing; Yaofang Liu; Qifeng Chen; Xintao Wang; Chao Weng; Ying Shan\n\nSource-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.\n\n\n\n## Original sources\n\n- [VideoCrafter1: Open Diffusion Models for High-Quality Video Generation](https://arxiv.org/abs/2310.19512v1)\n",
      "summary": "Released documented text-to-video and reference-image-conditioned video models, supporting experiments on content-preserving video generation beyond closed commercial tools.",
      "title": "Chen et al.: open text/image-conditioned video-diffusion resource"
    },
    "record_id": "urn:uuid:b7d6710e-a27a-42b9-a38d-4e009227bfb5",
    "version": 1,
    "source_ref": {
      "record_id": "urn:uuid:b7d6710e-a27a-42b9-a38d-4e009227bfb5",
      "version": 1,
      "content_hash": "sha256:9c4b552811c3bdebace063d87e03885be9607a0c93d5de17dc4ef73533a221f3"
    },
    "export_view": "wrs-public-editorial-view-1",
    "public_view_hash": "sha256:c91e2d23aa0585cc6b128f070f0570752f50e8c1604f9a6f6e2091108114f7ed"
  },
  "target": {
    "record_id": "urn:uuid:b7d6710e-a27a-42b9-a38d-4e009227bfb5",
    "version": 1,
    "content_hash": "sha256:9c4b552811c3bdebace063d87e03885be9607a0c93d5de17dc4ef73533a221f3"
  },
  "published_grade": {
    "profile": "wrs-published-grade-1",
    "edition": "2026-10-28.1",
    "id": "chen-et-al-videocrafter-open-resource-2023",
    "entry_id": "chen-et-al-videocrafter-open-resource-2023",
    "revision": 1,
    "title": "Chen et al.: open text/image-conditioned video-diffusion resource",
    "context": "Open video-generation model resources",
    "track": "Human-designed research method or resource",
    "band": "B",
    "modifier": "+",
    "status": "PROVISIONAL_EDITORIAL",
    "assessed_on": "2026-10-16",
    "evidence_cutoff": "2026-10-16",
    "achievement_state": "SUPPORTED_SCOPED_RESULT",
    "what_changed": "Released documented text-to-video and reference-image-conditioned video models, supporting experiments on content-preserving video generation beyond closed commercial tools.",
    "scope": "Released documented text-to-video and reference-image-conditioned video models, supporting experiments on content-preserving video generation beyond closed commercial tools. Diffusion, latent encoding and image conditioning are inherited. Acquired contribution is the integrated open foundation resource; image-content/style preservation is empirical, not a strict invariant for every prompt/input. First-open-source priority not independently asserted.",
    "evidence_summary": "The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Diffusion, latent encoding and image conditioning are inherited. Acquired contribution is the integrated open foundation resource; image-content/style preservation is empirical, not a strict invariant for every prompt/input. First-open-source priority not independently asserted.",
    "references": [
      {
        "title": "VideoCrafter1: Open Diffusion Models for High-Quality Video Generation",
        "url": "https://arxiv.org/abs/2310.19512v1",
        "locator": "Original contribution and stated assumptions, evaluation scope and limitations; source-linked assessment, not independent execution or proof certification."
      }
    ],
    "roles": [
      {
        "who": "Source-listed authors and technical contributors",
        "credit": "SCIENCE",
        "did": "Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities."
      }
    ],
    "target": {
      "record_id": "urn:uuid:b7d6710e-a27a-42b9-a38d-4e009227bfb5",
      "version": 1,
      "content_hash": "sha256:9c4b552811c3bdebace063d87e03885be9607a0c93d5de17dc4ef73533a221f3"
    },
    "scientific_correctness_certified": false,
    "independent_expert_calibration": false,
    "method": "PROPRIETARY",
    "points": "65000"
  },
  "canonical_agent_submission": false,
  "scientific_verification_awarded": false,
  "reader_guide": null,
  "reading_status": "SOURCE_LINKED_NOTE"
}
