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    "headline": "Different World Models Drifted Toward a Shared Latent Geometry",
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    "dek": "Predictive consistency aligned internal structures enough for cross-model stitching with limited degradation.",
    "summary": "Predictive consistency aligned internal structures enough for cross-model stitching with limited degradation.",
    "body_text": "Varying the visual encoder produced heterogeneous DINO world models whose internal geometries became more similar as predictive capability improved. Learned maps could stitch features between models with limited performance loss, supporting transition-compatible structure in the tested family.",
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      "world models",
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      "model stitching"
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      "title": "arXiv preprint 2608.23720",
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    "title": "Different World Models Drifted Toward a Shared Latent Geometry",
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