3DTurboQuant: Training-Free Near-Optimal Quantization for 3D Reconstruction Models

3DTurboQuant: Training-Free Near-Optimal Quantization for 3D Reconstruction Models | Signal Canvas | ScienceToStartup

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Canonical route: /signal-canvas/3dturboquant-training-free-near-optimal-quantization-for-3d-reconstruction-models

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Proof freshness: unknown
Proof status: unverified
Display score: 8/10
Last proof check: 2026-04-08
Score updated: 2026-04-08
Score fresh until: 2026-05-08
References: 0
Source count: 0
Coverage: 0%

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Canonical ID 3dturboquant-training-free-near-optimal-quantization-for-3d-reconstruction-models | Route /signal-canvas/3dturboquant-training-free-near-optimal-quantization-for-3d-reconstruction-models

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/3dturboquant-training-free-near-optimal-quantization-for-3d-reconstruction-models

MCP example

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    "query_text": "Summarize 3DTurboQuant: Training-Free Near-Optimal Quantization for 3D Reconstruction Models"
  }
}

source_context

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  "paper_ref": "3dturboquant-training-free-near-optimal-quantization-for-3d-reconstruction-models",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Evidence Receipt

Route status: building

Claims: 0

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: 3DTurboQuant: Training-Free Near-Optimal Quantization for 3D Reconstruction Models

PDF: https://arxiv.org/pdf/2604.05366v1

Repository: https://github.com/JaeLee18/3DTurboQuant

Source count: Pending verification

Coverage: 0%

Last proof check: 2026-04-08T03:22:09.832Z

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3DTurboQuant: Training-Free Near-Optimal Quantization for 3D Reconstruction Models

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