Learning the Riccati solution operator for time-varying LQR via Deep Operator Networks

Learning the Riccati solution operator for time-varying LQR via Deep Operator Networks | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/learning-the-riccati-solution-operator-for-time-varying-lqr-via-deep-operator-networks

stale

Proof freshness: stale
Proof status: unverified
Display score: 6/10
Last proof check: 2026-04-21
Score updated: 2026-04-21
Score fresh until: 2026-05-21
References: 0
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.

Agent Handoff

Canonical ID learning-the-riccati-solution-operator-for-time-varying-lqr-via-deep-operator-networks | Route /signal-canvas/learning-the-riccati-solution-operator-for-time-varying-lqr-via-deep-operator-networks

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/learning-the-riccati-solution-operator-for-time-varying-lqr-via-deep-operator-networks

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "learning-the-riccati-solution-operator-for-time-varying-lqr-via-deep-operator-networks",
    "query_text": "Summarize Learning the Riccati solution operator for time-varying LQR via Deep Operator Networks"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "Learning the Riccati solution operator for time-varying LQR via Deep Operator Networks",
  "normalized_query": "2604.18507",
  "route": "/signal-canvas/learning-the-riccati-solution-operator-for-time-varying-lqr-via-deep-operator-networks",
  "paper_ref": "learning-the-riccati-solution-operator-for-time-varying-lqr-via-deep-operator-networks",
  "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: Learning the Riccati solution operator for time-varying LQR via Deep Operator Networks

PDF: https://arxiv.org/pdf/2604.18507v1

Source count: 3

Coverage: 50%

Last proof check: 2026-04-21T04:18:14.253Z

Signal Canvas receipt window

Watch and verify: Learning the Riccati solution operator for time-varying LQR via Deep Operator Networks

/buildability/learning-the-riccati-solution-operator-for-time-varying-lqr-via-deep-operator-networks

Watchwatch

Subject: Learning the Riccati solution operator for time-varying LQR via Deep Operator Networks

Verdict

Watch

Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.

Learning the Riccati solution operator for time-varying LQR via Deep Operator Networks

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