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

Stale13d agoVerification pending / evidence receipt incomplete
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0.0/10

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Verification pending

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Freshness

Signal Canvas proof surface

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

building
Observed
2026-04-08
Fresh until
2026-04-22
Coverage
0%
Source count
0
Stale after
2026-04-22

Verification is still converging across references, source coverage, and proof checks.

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Verification pending
Last verified
2026-04-08
References
0
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Coverage
0%

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Agent Handoff

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

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

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MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "3dturboquant-training-free-near-optimal-quantization-for-3d-reconstruction-models",
    "query_text": "Summarize 3DTurboQuant: Training-Free Near-Optimal Quantization for 3D Reconstruction Models"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "3DTurboQuant: Training-Free Near-Optimal Quantization for 3D Reconstruction Models",
  "normalized_query": "2604.05366",
  "route": "/signal-canvas/3dturboquant-training-free-near-optimal-quantization-for-3d-reconstruction-models",
  "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

Paper Conversation

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Paper Mode

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

Overall score: 8/10
Lineage: 27141fa37613…
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Canonical Paper Receipt

Last verification: 2026-04-08T03:22:09.832Z

Freshness: fresh

Proof: unverified

Repo: unknown

References: 0

Sources: 0

Coverage: 0%

Missingness
  • - paper_evidence_receipts.references_count
  • - paper_evidence_receipts.coverage
Unknowns
  • - Canonical evidence receipt has not been materialized yet.

Mode Notes

  • Corpus mode searches the research corpus broadly.
  • Paper mode pins trust state to the canonical paper kernel.
  • Workspace mode blends saved sources, prior evidence queries, and linked papers.

Preparing verified analysis

Dimensions overall score 8.0

GitHub Code Pulse

Stars
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Health
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Last commit
4/7/2026
Forks
0
Open repository

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Author intelligence and commercialization panels stay hidden until the proof receipt is verified, cites at least 3 references, includes at least 2 sources, and clears 50% coverage. The paper narrative and citation surfaces remain public while verification is pending.

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