DataMaster: Towards Autonomous Data Engineering for Machine Learning

DataMaster: Towards Autonomous Data Engineering for Machine Learning | Signal Canvas | ScienceToStartup

Page Freshness

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Canonical route: /signal-canvas/datamaster-towards-autonomous-data-engineering-for-machine-learning

stale

Proof freshness: fresh
Proof status: unverified
Display score: 7/10
Last proof check: 2026-05-12
Score updated: 2026-05-12
Score fresh until: 2026-06-11
References: 0
Source count: 0
Coverage: 0%

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 datamaster-towards-autonomous-data-engineering-for-machine-learning | Route /signal-canvas/datamaster-towards-autonomous-data-engineering-for-machine-learning

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/datamaster-towards-autonomous-data-engineering-for-machine-learning

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "datamaster-towards-autonomous-data-engineering-for-machine-learning",
    "query_text": "Summarize DataMaster: Towards Autonomous Data Engineering for Machine Learning"
  }
}

source_context

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  "paper_ref": "datamaster-towards-autonomous-data-engineering-for-machine-learning",
  "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: DataMaster: Towards Autonomous Data Engineering for Machine Learning

PDF: https://arxiv.org/pdf/2605.10906v1

Repository: https://github.com/sjtu-sai-agents/DataMaster

Source count: Pending verification

Coverage: 0%

Last proof check: 2026-05-12T20:14:59.855Z

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Subject: DataMaster: Towards Autonomous Data Engineering for Machine Learning

Verdict

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Verdict is Build Now because viability and implementation proof cleared the Wave 1 scaffold thresholds.

DataMaster: Towards Autonomous Data Engineering for Machine Learning

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