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  3. Sparse-Aware Neural Networks for Nonlinear Functionals: Miti
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Sparse-Aware Neural Networks for Nonlinear Functionals: Mitigating the Exponential Dependence on Dimension

Stale12d ago14 refs / 3 sources / Verification pending
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Viability
0.0/10

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Verification pending

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Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/sparse-aware-neural-networks-for-nonlinear-functionals-mitigating-the-exponential-dependence-on-dimension

stale
Proof freshness
stale
Proof status
unverified
Display score
0/10
Last proof check
2026-04-10
Score updated
2026-04-09
Score fresh until
2026-05-09
References
14
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

Sparse-Aware Neural Networks for Nonlinear Functionals: Mitigating the Exponential Dependence on Dimension

Canonical ID sparse-aware-neural-networks-for-nonlinear-functionals-mitigating-the-exponential-dependence-on-dimension | Route /signal-canvas/sparse-aware-neural-networks-for-nonlinear-functionals-mitigating-the-exponential-dependence-on-dimension

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/sparse-aware-neural-networks-for-nonlinear-functionals-mitigating-the-exponential-dependence-on-dimension

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "sparse-aware-neural-networks-for-nonlinear-functionals-mitigating-the-exponential-dependence-on-dimension",
    "query_text": "Summarize Sparse-Aware Neural Networks for Nonlinear Functionals: Mitigating the Exponential Dependence on Dimension"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "Sparse-Aware Neural Networks for Nonlinear Functionals: Mitigating the Exponential Dependence on Dimension",
  "normalized_query": "2604.06774",
  "route": "/signal-canvas/sparse-aware-neural-networks-for-nonlinear-functionals-mitigating-the-exponential-dependence-on-dimension",
  "paper_ref": "sparse-aware-neural-networks-for-nonlinear-functionals-mitigating-the-exponential-dependence-on-dimension",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Evidence Receipt

Route status: building

Claims: 0

References: 14

Proof: Verification pending

Freshness state: computing

Source paper: Sparse-Aware Neural Networks for Nonlinear Functionals: Mitigating the Exponential Dependence on Dimension

PDF: https://arxiv.org/pdf/2604.06774v1

Source count: 3

Coverage: 67%

Last proof check: 2026-04-10T00:16:38.577Z

Paper Conversation

Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.

Paper Mode

Sparse-Aware Neural Networks for Nonlinear Functionals: Mitigating the Exponential Dependence on Dimension

Overall score: 0/10
Lineage: d8d40a8cfd52…
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Canonical Paper Receipt

Last verification: 2026-04-10T00:16:38.577Z

Freshness: stale

Proof: unverified

Repo: missing

References: 14

Sources: 3

Coverage: 67%

Missingness
  • - repo_url
  • - proof_status
Unknowns
  • - proof verification has not been recorded 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 0.0

GitHub Code Pulse

No public code linked for this paper yet.

Claim map

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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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