Shape Representation using Gaussian Process mixture models

Shape Representation using Gaussian Process mixture models | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/shape-representation-using-gaussian-process-mixture-models

stale

Proof freshness: stale
Proof status: unverified
Display score: 5/10
Last proof check: 2026-04-02
Score updated: 2026-04-02
Score fresh until: 2026-05-02
References: 48
Source count: 3
Coverage: 50%

This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.

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Canonical ID shape-representation-using-gaussian-process-mixture-models | Route /signal-canvas/shape-representation-using-gaussian-process-mixture-models

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/shape-representation-using-gaussian-process-mixture-models

MCP example

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  "arguments": {
    "mode": "paper",
    "paper_ref": "shape-representation-using-gaussian-process-mixture-models",
    "query_text": "Summarize Shape Representation using Gaussian Process mixture models"
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}

source_context

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  "query": "Shape Representation using Gaussian Process mixture models",
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  "paper_ref": "shape-representation-using-gaussian-process-mixture-models",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Evidence Receipt

Route status: building

Claims: 0

References: 48

Proof: Verification pending

Freshness state: computing

Source paper: Shape Representation using Gaussian Process mixture models

PDF: https://arxiv.org/pdf/2604.00862v1

Source count: 3

Coverage: 50%

Last proof check: 2026-04-02T21:01:48.782Z

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Watch and verify: Shape Representation using Gaussian Process mixture models

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Subject: Shape Representation using Gaussian Process mixture models

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Shape Representation using Gaussian Process mixture models

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