S2MAM: Semi-supervised Meta Additive Model for Robust Estimation and Variable Selection

S2MAM: Semi-supervised Meta Additive Model for Robust Estimation and Variable Selection | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/s2mam-semi-supervised-meta-additive-model-for-robust-estimation-and-variable-selection

stale

Proof freshness: stale
Proof status: unverified
Display score: 3/10
Last proof check: 2026-04-22
Score updated: 2026-04-22
Score fresh until: 2026-05-22
References: 63
Source count: 3
Coverage: 67%

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

Agent Handoff

Canonical ID s2mam-semi-supervised-meta-additive-model-for-robust-estimation-and-variable-selection | Route /signal-canvas/s2mam-semi-supervised-meta-additive-model-for-robust-estimation-and-variable-selection

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/s2mam-semi-supervised-meta-additive-model-for-robust-estimation-and-variable-selection

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "s2mam-semi-supervised-meta-additive-model-for-robust-estimation-and-variable-selection",
    "query_text": "Summarize S2MAM: Semi-supervised Meta Additive Model for Robust Estimation and Variable Selection"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "S2MAM: Semi-supervised Meta Additive Model for Robust Estimation and Variable Selection",
  "normalized_query": "2604.19072",
  "route": "/signal-canvas/s2mam-semi-supervised-meta-additive-model-for-robust-estimation-and-variable-selection",
  "paper_ref": "s2mam-semi-supervised-meta-additive-model-for-robust-estimation-and-variable-selection",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Evidence Receipt

Route status: building

Claims: 1

References: 63

Proof: Verification pending

Freshness state: computing

Source paper: S2MAM: Semi-supervised Meta Additive Model for Robust Estimation and Variable Selection

PDF: https://arxiv.org/pdf/2604.19072v1

Source count: 3

Coverage: 67%

Last proof check: 2026-04-22T02:16:39.761Z

Signal Canvas receipt window

Not build-ready: S2MAM: Semi-supervised Meta Additive Model for Robust Estimation and Variable Selection

/buildability/s2mam-semi-supervised-meta-additive-model-for-robust-estimation-and-variable-selection

Ignoreblocked

Subject: S2MAM: Semi-supervised Meta Additive Model for Robust Estimation and Variable Selection

Verdict

Ignore

Verdict is Ignore because current viability and proof state do not clear the buildability gate.

S2MAM: Semi-supervised Meta Additive Model for Robust Estimation and Variable Selection

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