{
  "versions": {
    "catalog": 3,
    "behavior": 3,
    "export": 2
  },
  "verificationDatePrecision": "day",
  "unknownDateRepresentation": null,
  "signals": [
    {
      "id": "signal-atlas-launch",
      "discoveryDate": "2026-09-01",
      "eventDate": "2026-09-01",
      "publicationDate": "2026-09-01",
      "affectedEntityIds": [
        "atlas"
      ],
      "affectedFields": [
        "spatial-generation",
        "video-output"
      ],
      "evidenceIds": [
        "evidence-worldlabs-atlas"
      ],
      "approved": true,
      "locales": {
        "en": {
          "title": "Atlas broadens spatial output",
          "summary": "World Labs reports one model spanning text, image, video, point clouds, and Gaussian splats.",
          "slug": "signal-atlas-launch"
        },
        "tr": {
          "title": "Atlas mekânsal çıktıyı genişletiyor",
          "summary": "World Labs tek modelde metin, görsel, video, nokta bulutu ve Gaussian splat çıktıları bildiriyor.",
          "slug": "sinyal-atlas"
        }
      },
      "evidence": [
        {
          "id": "evidence-worldlabs-atlas",
          "sourceId": "source-worldlabs-atlas",
          "supportedClaimIds": [
            "claim-atlas-1440p-minute-video"
          ],
          "evidenceStatus": "reported",
          "verificationState": "current",
          "primarySourceUrl": "https://www.worldlabs.ai/blog/atlas",
          "sourcePublicationDate": "2026-09-01",
          "sourceReviewNotes": null,
          "verifiedOn": "2026-09-21",
          "freshnessTimestamp": "2026-09-21T00:00:00.000Z"
        }
      ]
    },
    {
      "id": "signal-cosmos-3-release",
      "discoveryDate": "2026-06-03",
      "eventDate": "2026-06-02",
      "publicationDate": "2026-06-01",
      "affectedEntityIds": [
        "cosmos-3"
      ],
      "affectedFields": [
        "availability",
        "physical-reasoning"
      ],
      "evidenceIds": [
        "evidence-nvidia-cosmos3"
      ],
      "approved": true,
      "locales": {
        "en": {
          "title": "Cosmos 3 opens its development stack",
          "summary": "The technical report links multimodal world generation with released development artifacts.",
          "slug": "signal-cosmos-3-release"
        },
        "tr": {
          "title": "Cosmos 3 geliştirme yığınını açıyor",
          "summary": "Teknik rapor, çok modlu dünya üretimini yayımlanan geliştirme bileşenleriyle ilişkilendiriyor.",
          "slug": "sinyal-cosmos-3"
        }
      },
      "evidence": [
        {
          "id": "evidence-nvidia-cosmos3",
          "sourceId": "source-nvidia-cosmos3",
          "supportedClaimIds": [
            "claim-cosmos3-open-development"
          ],
          "evidenceStatus": "demonstrated",
          "verificationState": "current",
          "primarySourceUrl": "https://arxiv.org/abs/2606.02800",
          "sourcePublicationDate": "2026-06-01",
          "sourceReviewNotes": null,
          "verifiedOn": "2026-09-21",
          "freshnessTimestamp": "2026-09-21T00:00:00.000Z"
        }
      ]
    },
    {
      "id": "signal-oasis-3-release",
      "discoveryDate": "2026-09-04",
      "eventDate": null,
      "publicationDate": null,
      "affectedEntityIds": [
        "oasis-3"
      ],
      "affectedFields": [
        "driving-simulation",
        "multi-view",
        "api"
      ],
      "evidenceIds": [
        "evidence-decart-oasis3"
      ],
      "approved": true,
      "locales": {
        "en": {
          "title": "Oasis 3 targets physical-AI training",
          "summary": "Decart reports real-time, multi-view simulation environments controlled by physical signals and available through an API.",
          "slug": "signal-oasis-3-release"
        },
        "tr": {
          "title": "Oasis 3 fiziksel yapay zekâ eğitimine yöneliyor",
          "summary": "Decart, gerçek zamanlı ve çok kameralı simülasyon ortamlarını fiziksel kontrol sinyalleriyle yönlendirilen bir API üzerinden sunduğunu bildiriyor.",
          "slug": "sinyal-oasis-3"
        }
      },
      "evidence": [
        {
          "id": "evidence-decart-oasis3",
          "sourceId": "source-decart-oasis3",
          "supportedClaimIds": [
            "claim-oasis3-physical-ai"
          ],
          "evidenceStatus": "reported",
          "verificationState": "needs-review",
          "primarySourceUrl": "https://decart.ai/oasis",
          "sourcePublicationDate": null,
          "sourceReviewNotes": {
            "en": "2026-09-21: The primary page supports the reported capabilities and API access, but does not establish an original publication or release date. Dates remain unknown and the record remains under review. Review scope: hero, How it works, and FAQ text at decart.ai/oasis, continuing the scope recorded on 2026-09-18. Embedded videos and deeper help-center pages were not reviewed. Latency, physics-engine fidelity, and sim-to-real transfer were not independently measured or validated. 2026-10-07: re-read the same hero, How it works and FAQ scope; the page still presents the same reported real-time, controllable, multi-view and API capabilities and still publishes no publication or release date, so the record stays under review and the promotion to current remains withheld pending human approval.",
            "tr": "2026-09-21: Birincil sayfa bildirilen yetenekleri ve API erişimini destekliyor; ancak ilk yayın veya çıkış tarihini doğrulamıyor. Tarihler bilinmiyor olarak tutuluyor ve kayıt incelemede kalıyor. İnceleme kapsamı: decart.ai/oasis adresindeki giriş, How it works ve FAQ metinleri; 18 Eyl 2026 tarihinde kaydedilen kapsam sürdürülüyor. Gömülü videolar ve yardım merkezinin derin sayfaları incelenmedi. Gecikme, fizik motoru doğruluğu ve simülasyondan gerçeğe aktarım bağımsız ölçülmedi veya doğrulanmadı. 2026-10-07: aynı giriş, How it works ve FAQ kapsamı yeniden okundu; sayfa hâlâ aynı bildirilen gerçek zamanlı, kontrol edilebilir, çok kameralı ve API yeteneklerini sunuyor ve hâlâ ilk yayın ya da çıkış tarihi yayımlamıyor; bu yüzden kayıt incelemede kalıyor ve current durumuna yükseltme insan onayı bekleyerek tutuluyor."
          },
          "verifiedOn": "2026-10-07",
          "freshnessTimestamp": "2026-10-07T00:00:00.000Z"
        }
      ]
    },
    {
      "id": "signal-waymo-world-model",
      "discoveryDate": "2026-02-06",
      "eventDate": "2026-02-06",
      "publicationDate": "2026-02-06",
      "affectedEntityIds": [
        "waymo-world-model"
      ],
      "affectedFields": [
        "driving-simulation"
      ],
      "evidenceIds": [
        "evidence-waymo-world-model"
      ],
      "approved": true,
      "locales": {
        "en": {
          "title": "Waymo adds a driving world model",
          "summary": "The announced simulator targets controllable and counterfactual autonomous-driving scenes.",
          "slug": "signal-waymo-world-model"
        },
        "tr": {
          "title": "Waymo sürüş dünya modeli ekliyor",
          "summary": "Duyurulan simülatör kontrol edilebilir ve karşı-olgusal otonom sürüş sahnelerini hedefliyor.",
          "slug": "sinyal-waymo-world-model"
        }
      },
      "evidence": [
        {
          "id": "evidence-waymo-world-model",
          "sourceId": "source-waymo-world-model",
          "supportedClaimIds": [
            "claim-waymo-driving-simulation"
          ],
          "evidenceStatus": "reported",
          "verificationState": "current",
          "primarySourceUrl": "https://waymo.com/blog/2026/02/the-waymo-world-model-a-new-frontier-for-autonomous-driving-simulation/",
          "sourcePublicationDate": "2026-02-06",
          "sourceReviewNotes": null,
          "verifiedOn": "2026-09-21",
          "freshnessTimestamp": "2026-09-21T00:00:00.000Z"
        }
      ]
    },
    {
      "id": "signal-gwm-1-release",
      "discoveryDate": "2025-12-11",
      "eventDate": "2025-12-11",
      "publicationDate": "2025-12-11",
      "affectedEntityIds": [
        "gwm-1"
      ],
      "affectedFields": [
        "action-conditioning",
        "robotics"
      ],
      "evidenceIds": [
        "evidence-runway-gwm1"
      ],
      "approved": true,
      "locales": {
        "en": {
          "title": "Runway frames a general world model",
          "summary": "GWM-1 extends generative video research toward controllable environments and robotics.",
          "slug": "signal-gwm-1-release"
        },
        "tr": {
          "title": "Runway genel dünya modelini çerçeveliyor",
          "summary": "GWM-1, üretken video araştırmasını kontrol edilebilir ortamlar ve robotiğe taşıyor.",
          "slug": "sinyal-gwm-1"
        }
      },
      "evidence": [
        {
          "id": "evidence-runway-gwm1",
          "sourceId": "source-runway-gwm1",
          "supportedClaimIds": [
            "claim-gwm1-simulates-actions"
          ],
          "evidenceStatus": "reported",
          "verificationState": "current",
          "primarySourceUrl": "https://runway.com/research/introducing-runway-gwm-1",
          "sourcePublicationDate": "2025-12-11",
          "sourceReviewNotes": null,
          "verifiedOn": "2026-09-21",
          "freshnessTimestamp": "2026-09-21T00:00:00.000Z"
        }
      ]
    },
    {
      "id": "signal-cosmos-1-release",
      "discoveryDate": "2025-01-07",
      "eventDate": "2025-01-06",
      "publicationDate": "2025-01-06",
      "affectedEntityIds": [
        "cosmos-1"
      ],
      "affectedFields": [
        "multimodal-generation",
        "physical-reasoning"
      ],
      "evidenceIds": [
        "evidence-nvidia-cosmos1"
      ],
      "approved": true,
      "locales": {
        "en": {
          "title": "Cosmos 1.0 launches a world foundation model platform",
          "summary": "NVIDIA presents the first Cosmos release as a development platform for physical AI.",
          "slug": "signal-cosmos-1-release"
        },
        "tr": {
          "title": "Cosmos 1.0 dünya temel modeli platformunu başlatıyor",
          "summary": "NVIDIA, dünya temel modellerini fiziksel yapay zekâ için bir geliştirme platformu olarak sunan ilk Cosmos sürümünü yayımlıyor.",
          "slug": "sinyal-cosmos-1"
        }
      },
      "evidence": [
        {
          "id": "evidence-nvidia-cosmos1",
          "sourceId": "source-nvidia-cosmos1",
          "supportedClaimIds": [
            "claim-cosmos1-multimodal-generation"
          ],
          "evidenceStatus": "reported",
          "verificationState": "current",
          "primarySourceUrl": "https://research.nvidia.com/publication/2025-01_cosmos-world-foundation-model-platform-physical-ai",
          "sourcePublicationDate": "2025-01-06",
          "sourceReviewNotes": null,
          "verifiedOn": "2026-09-21",
          "freshnessTimestamp": "2026-09-21T00:00:00.000Z"
        }
      ]
    },
    {
      "id": "signal-v-jepa-1-release",
      "discoveryDate": "2024-02-15",
      "eventDate": "2024-02-15",
      "publicationDate": "2024-02-15",
      "affectedEntityIds": [
        "v-jepa-1"
      ],
      "affectedFields": [
        "latent-prediction",
        "self-supervised-pretraining"
      ],
      "evidenceIds": [
        "evidence-meta-vjepa1"
      ],
      "approved": true,
      "locales": {
        "en": {
          "title": "V-JEPA introduces latent video pretraining",
          "summary": "Meta's first V-JEPA work establishes self-supervised joint-embedding prediction for video as a world-model pretraining objective.",
          "slug": "signal-v-jepa-1-release"
        },
        "tr": {
          "title": "V-JEPA gizil video ön eğitimini tanıtıyor",
          "summary": "Meta'nın ilk V-JEPA çalışması, video için özdenetimli ortak gömme tahminini dünya modeli ön eğitim hedefi olarak sunuyor.",
          "slug": "sinyal-v-jepa-1"
        }
      },
      "evidence": [
        {
          "id": "evidence-meta-vjepa1",
          "sourceId": "source-meta-vjepa1",
          "supportedClaimIds": [
            "claim-vjepa1-latent-prediction"
          ],
          "evidenceStatus": "demonstrated",
          "verificationState": "current",
          "primarySourceUrl": "https://ai.meta.com/blog/v-jepa-yann-lecun-ai-model-video-joint-embedding-predictive-architecture/",
          "sourcePublicationDate": "2024-02-15",
          "sourceReviewNotes": null,
          "verifiedOn": "2026-09-21",
          "freshnessTimestamp": "2026-09-21T00:00:00.000Z"
        }
      ]
    },
    {
      "id": "signal-oasis-launch",
      "discoveryDate": "2024-10-31",
      "eventDate": "2024-10-31",
      "publicationDate": "2024-10-31",
      "affectedEntityIds": [
        "oasis"
      ],
      "affectedFields": [
        "interactive-video",
        "real-time-inference"
      ],
      "evidenceIds": [
        "evidence-decart-oasis"
      ],
      "approved": true,
      "locales": {
        "en": {
          "title": "Oasis opens real-time interactive worlds",
          "summary": "Decart and Etched publish a transformer-based world that responds to user input in real time.",
          "slug": "signal-oasis-launch"
        },
        "tr": {
          "title": "Oasis gerçek zamanlı etkileşimli dünyaları açıyor",
          "summary": "Decart ve Etched, kullanıcı girdisine gerçek zamanlı yanıt veren dönüştürücü tabanlı bir dünya yayımlıyor.",
          "slug": "sinyal-oasis"
        }
      },
      "evidence": [
        {
          "id": "evidence-decart-oasis",
          "sourceId": "source-decart-oasis",
          "supportedClaimIds": [
            "claim-oasis-realtime-interactive"
          ],
          "evidenceStatus": "reported",
          "verificationState": "current",
          "primarySourceUrl": "https://oasis-model.github.io/",
          "sourcePublicationDate": "2024-10-31",
          "sourceReviewNotes": null,
          "verifiedOn": "2026-09-21",
          "freshnessTimestamp": "2026-09-21T00:00:00.000Z"
        }
      ]
    },
    {
      "id": "signal-gaia-1-paper",
      "discoveryDate": "2023-09-30",
      "eventDate": "2023-09-29",
      "publicationDate": "2023-09-29",
      "affectedEntityIds": [
        "gaia-1"
      ],
      "affectedFields": [
        "driving-simulation",
        "video-output"
      ],
      "evidenceIds": [
        "evidence-wayve-gaia1"
      ],
      "approved": true,
      "locales": {
        "en": {
          "title": "GAIA-1 frames driving as a generative world",
          "summary": "Wayve's GAIA-1 paper defines video-based generative world modeling for autonomous-driving research.",
          "slug": "signal-gaia-1-paper"
        },
        "tr": {
          "title": "GAIA-1 sürüşü üretken bir dünya olarak çerçeveliyor",
          "summary": "Wayve'in GAIA-1 makalesi, otonom sürüşü video tabanlı üretken dünya modelleme araştırması olarak tanımlıyor.",
          "slug": "sinyal-gaia-1"
        }
      },
      "evidence": [
        {
          "id": "evidence-wayve-gaia1",
          "sourceId": "source-wayve-gaia1",
          "supportedClaimIds": [
            "claim-gaia1-generative-driving"
          ],
          "evidenceStatus": "demonstrated",
          "verificationState": "current",
          "primarySourceUrl": "https://arxiv.org/abs/2309.17080",
          "sourcePublicationDate": "2023-09-29",
          "sourceReviewNotes": null,
          "verifiedOn": "2026-09-21",
          "freshnessTimestamp": "2026-09-21T00:00:00.000Z"
        }
      ]
    }
  ]
}
